CN118071165A - Water affair data visualization realization method based on big data analysis and digital platform - Google Patents

Abstract

The invention provides a water service data visualization realization method and a digital platform based on big data analysis. The method comprises the steps that target water regime description carrier information of a target monitoring water area is generated based on first involved water regime description carrier information and second involved water regime description carrier information, the target water regime description carrier information can represent rich water regime indication marks of the target monitoring water area, and water regime information determined based on the target water regime description carrier information has higher accuracy and reliability, so that accurate display of the water regime information is facilitated in visual monitoring.

Description

Water affair data visualization realization method based on big data analysis and digital platform

Technical Field

The application relates to the technical field of water affair data management, in particular to a water affair data visualization realization method and a digital platform based on big data analysis.

Background

Water resource management and protection has become one of the important challenges facing the world in today's society. With the influence of factors such as the acceleration of the urban process, the population growth and the climate change, the water department needs to deal with more complex and diversified problems. Therefore, it becomes particularly critical to accurately and timely analyze and manage water service data.

Traditionally, the collection and processing of water service data has relied primarily on manual operations and simple statistical methods. However, this approach suffers from inefficiency, unreliable data quality, and delay in information transfer. Meanwhile, the traditional method cannot process large-scale and multi-dimensional data, and potential rules and trends in the data are difficult to mine. With the development of big data technology, the water department starts to actively collect and apply a large amount of real-time monitoring data, sensor data, remote sensing data and the like so as to improve the accuracy and response speed of water resource management. However, it is a challenge to obtain valuable information from such a huge amount of data.

Water affair data visualization based on big data analysis is realized. The method can convert huge water affair data into visual and easy-to-understand graphs and charts by using advanced data analysis algorithm and visualization technology, and helps water affair departments to search, analyze and decide data. Through data visualization, a user can more intuitively know the utilization condition of water resources and the change trend of water environment, so that a management strategy is formulated better and emergency is dealt with.

How to accurately determine the water condition information of a target monitoring water area in the multi-water area monitoring process is a precondition for ensuring the reliability of data in the water affair visualization process, and is also an important technical research subject in the field.

Disclosure of Invention

In view of this, the embodiment of the application at least provides a water service data visualization realization method and a digital platform based on big data analysis.

The technical scheme of the embodiment of the application is realized as follows:

In one aspect, an embodiment of the present application provides a method for implementing visualization of water service data based on big data analysis, which is applied to a digital platform, and the method includes: respectively acquiring initial water regime description carrier information of a target monitoring water area, a first involved monitoring water area and a second involved monitoring water area aiming at water regime information; a direct involvement exists between the target monitored water area and the first involved monitored water area, and an indirect involvement exists between the target monitored water area and the second involved monitored water area; directly involving the initial water regime description carrier information of the target monitoring water area and the initial water regime description carrier information of the first involved monitoring water area to obtain the first involved water regime description carrier information of the target monitoring water area; indirectly implying the initial water regime description carrier information of the target monitoring water area, the initial water regime description carrier information of the second implying monitoring water area and the initial water regime description carrier information of the first implying monitoring water area to obtain second implying water regime description carrier information of the target monitoring water area; generating target water regime description carrier information of the target monitoring water area based on the first and second water regime description carrier information, and determining water regime information of the target monitoring water area based on the target water regime description carrier information; and displaying the water condition information of the target monitoring water area on a preset visualization module.

In some embodiments, the acquiring initial water condition description carrier information of the target monitoring water area, the first involved monitoring water area, and the second involved monitoring water area for the water condition information respectively includes: acquiring a first involved water area topological graph corresponding to a target monitoring water area, wherein the first involved water area topological graph comprises a first topological point for representing initial water condition description carrier information of the target monitoring water area, a second topological point for representing initial water condition description carrier information of candidate involved monitoring water areas, and a connecting edge between the first topological point and the second topological point; the target monitoring waters are associated with the candidate involvement monitoring waters; sampling a second topological point in the topological graph of the first involved water area according to the topological point track taking the first topological point as a starting point to obtain a first involved monitoring water area with a direct involved relation with the target monitoring water area and a second involved monitoring water area with an indirect involved relation with the target monitoring water area; and respectively acquiring initial water condition description carrier information of the target monitoring water area, the first involved monitoring water area and the second involved monitoring water area aiming at the water condition information in the first involved water area topological diagram.

In some embodiments, the initial water regime description carrier information includes water regime feature elements corresponding to u water regime indication marks; the sampling operation is sequentially performed on a second topological point in the topological graph of the first involved water area according to the topological point track taking the first topological point as a starting point, so as to obtain a first involved monitoring water area with a direct involved relationship with the target monitoring water area, and a second involved monitoring water area with an indirect involved relationship with the target monitoring water area, which comprises the following steps: sequentially extracting second topological points in the topological graph of the first involved water area according to the topological point track taking the first topological points as starting points to obtain w first candidate involved monitoring water areas with direct involved relation with the target monitored water area and v second candidate involved monitoring water areas with indirect involved relation with the target monitored water area; acquiring the number of first monitoring water areas of the w first candidate involved monitoring water areas, wherein the water condition characteristic elements corresponding to the u water condition indication marks of the first candidate involved monitoring water areas are all of a first value; acquiring the number of second monitoring water areas of the second candidate involved monitoring water areas with the first values of water condition characteristic elements corresponding to the u water condition indication marks in the v second candidate involved monitoring water areas; if the number of the first monitored water areas is smaller than a first set value, the w first candidate involved monitored water areas are used as first involved monitored water areas which have direct involved relation with the target monitored water area; and if the number of the second monitored water areas is smaller than a second set value, taking the v second candidate involved monitored water areas as first involved monitored water areas which have direct involved relation with the target monitored water area.

In some embodiments, the number of the first involved monitoring waters is a plurality, the directly involved operation is performed on the initial water condition description carrier information of the target monitoring waters and the initial water condition description carrier information of the first involved monitoring waters, to obtain the first involved water condition description carrier information of the target monitoring waters, including: calculating the average value of the initial water regime description carrier information of a plurality of first involved monitoring water areas through a direct carrier detection module of a target water regime detection network to obtain first average value water regime description carrier information; determining first water regime involvement information for a plurality of the first involved monitoring waters based on the first mean water regime description carrier information; determining first water condition description carrier information of the target monitoring water area based on the first water condition involvement information and the initial water condition description carrier information of the target monitoring water area; the indirect involvement operation of the initial water regime description carrier information of the target monitoring water area, the initial water regime description carrier information of the second involved monitoring water area and the initial water regime description carrier information of the first involved monitoring water area is performed to obtain the second involved water regime description carrier information of the target monitoring water area, which comprises the following steps: the method comprises the steps that through an indirect carrier detection module of a target water regime detection network, average value calculation is carried out on initial water regime description carrier information of a target monitoring water area and initial water regime description carrier information of a second involved monitoring water area, and second average value water regime description carrier information is obtained; determining second water regime involvement information between the target monitoring water area and the second involved monitoring water area based on the second mean water regime description carrier information; second involvement water condition description carrier information of the target monitored water area is determined based on the second involvement water condition information and the initial water condition description carrier information of the first involvement monitored water area.

In some embodiments, the number of the second involved monitoring waters is a plurality, and the generating the target water condition description carrier information of the target monitoring waters based on the first involved water condition description carrier information and the second involved water condition description carrier information includes: the target carrier detection module of the target water regime detection network is used for carrying out average value calculation on second involved water regime description carrier information corresponding to the second involved monitoring water areas respectively to obtain third average value water regime description carrier information; and fusing the first water condition description carrier information and the third mean water condition description carrier information to obtain target water condition description carrier information of the target monitoring water area.

In some embodiments, the method further comprises: respectively acquiring annotation water regime description carrier information of a target example monitoring water area, a first involved example monitoring water area and a second involved example monitoring water area aiming at water regime information; a direct involvement exists between the target example monitoring water area and the first involvement example monitoring water area, and an indirect involvement exists between the target example monitoring water area and the second involvement example monitoring water area; the annotated water condition description carrier information corresponding to the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area respectively is noisy through a candidate water condition detection network, and the noisy annotated water condition description carrier information corresponding to the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area respectively is obtained; carrying out association reasoning on the noisy annotation water condition description carrier information corresponding to the target example monitoring water area, the noisy annotation water condition description carrier information corresponding to the second involved example monitoring water area and the noisy annotation water condition description carrier information corresponding to the first involved example monitoring water area to obtain the reasoning water condition description carrier information of the target example monitoring water area; and optimizing the candidate water regime detection network based on the annotation water regime description carrier information and the inference water regime description carrier information of the target example monitoring water area to obtain the target water regime detection network.

In some embodiments, the noise adding, through the candidate water condition detection network, the annotated water condition description carrier information corresponding to each of the target example monitoring water area, the first involved example monitoring water area, and the second involved example monitoring water area, to obtain the denoised annotated water condition description carrier information corresponding to each of the target example monitoring water area, the first involved example monitoring water area, and the second involved example monitoring water area, includes: modifying water regime characteristic elements in annotation water regime description carrier information of the target example monitoring water area through a candidate water regime detection network to obtain noisy annotation water regime description carrier information corresponding to the target example monitoring water area; modifying water regime characteristic elements in annotation water regime description carrier information of the first involved example monitoring water area to obtain noisy annotation water regime description carrier information corresponding to the first involved example monitoring water area; modifying water regime characteristic elements in annotation water regime description carrier information of the second involved example monitoring water area to obtain noisy annotation water regime description carrier information corresponding to the second involved example monitoring water area; the method for respectively acquiring the annotation water condition description carrier information of the water condition information of the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area comprises the following steps: acquiring a second involved water area topological graph; the second involved water area topological graph comprises topological points for representing annotation water condition description carrier information of the candidate example monitoring water area and connecting edges between topological points corresponding to the involved candidate example monitoring water area, and the annotation water condition description carrier information comprises water condition characteristic elements corresponding to u water condition indication marks; sampling the topological points in the second involved water area topological graph in sequence according to the topological point track in the second involved water area topological graph to obtain t target candidate example monitoring water areas respectively corresponding to the u water condition indication marks; a target candidate example monitoring water area corresponding to one water condition indication mark is a candidate example monitoring water area with a water condition characteristic element corresponding to the water condition indication mark as a second value in the second involved water area topological graph; determining to obtain a target example monitoring water area, a first involved example monitoring water area and a second involved example monitoring water area based on t target candidate example monitoring water areas and the second involved water area topological graphs respectively corresponding to the u water condition indication marks; respectively acquiring annotation water condition description carrier information of the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area aiming at water condition information in the second involved water area topological diagram; the optimizing the candidate water regime detection network based on the annotation water regime description carrier information and the inference water regime description carrier information of the target example monitoring water area to obtain the target water regime detection network comprises the following steps: optimizing the candidate water regime detection network based on the annotation water regime description carrier information and the inference water regime description carrier information of the target example monitoring water area to obtain an optimized candidate water regime detection network; determining to obtain an example monitoring water area evaluation set based on t target candidate example monitoring water areas and the second involved water area topological graph which are respectively corresponding to the u water condition indication marks; determining training quality of the optimized candidate water condition detection network based on the example monitoring water area evaluation set; and determining the target water regime detection network based on the training quality and the optimized candidate water regime detection network.

In some embodiments, the determining, based on the t target candidate example monitoring waters and the second involved water topological map corresponding to the u water condition indicators, the target example monitoring waters, the first involved example monitoring waters, and the second involved example monitoring waters includes: determining in the second involved water topology map that there is a direct involved relationship with the target candidate example monitoring water R _m; the target candidate example monitoring water area R _m belongs to t target candidate example monitoring water areas respectively corresponding to the u water condition indication marks, and m is more than or equal to 1; determining in the second involved water topology map that there is an indirect involved relationship with the target candidate example monitoring water Rm; taking the target candidate example monitoring water area Rm as a target example monitoring water area, extracting x first reference candidate example monitoring water areas from the first reference candidate example monitoring water area, and determining the first reference candidate example monitoring water area as the first reference example monitoring water area; extracting e second candidate example of involvement monitoring waters from the second candidate of involvement monitoring waters to determine the second candidate of involvement monitoring waters; the example monitoring water area assessment set includes assessing an example monitoring water area, a third involved example monitoring water area, a fourth involved example monitoring water area; the evaluation example monitoring water area is different from the target example monitoring water area, a direct involvement exists between the evaluation example monitoring water area and the third involvement example monitoring water area, and an indirect involvement exists between the evaluation example monitoring water area and the fourth involvement example monitoring water area; the determining training quality of the optimized candidate water condition detection network based on the example monitoring water area assessment set comprises the following steps: through the optimized candidate water condition detection network, the annotation water condition description carrier information of the evaluation example monitoring water area, the third involvement example monitoring water area and the fourth involvement example monitoring water area is noisy, and the annotation water condition description carrier information of the evaluation example monitoring water area, the third involvement example monitoring water area and the fourth involvement example monitoring water area which are respectively corresponding to the noisy is obtained; carrying out association reasoning on the noisy annotation water condition description carrier information corresponding to the evaluation example monitoring water area, the noisy annotation water condition description carrier information corresponding to the third involved example monitoring water area and the noisy annotation water condition description carrier information corresponding to the fourth involved example monitoring water area to obtain the reasoning water condition description carrier information of the evaluation example monitoring water area; determining the inference detection loss of the optimized candidate water regime detection network based on the inference water regime description carrier information of the evaluation example monitoring water area and the annotation water regime description carrier information of the evaluation example monitoring water area; and determining the training quality of the optimized candidate water condition detection network based on the inference detection loss.

In some embodiments, the inferred water regime description carrier information of the evaluation example monitoring water area and the annotated water regime description carrier information of the evaluation example monitoring water area both contain water regime characteristic elements corresponding to u water regime indication marks; the determining the inference detection loss of the optimized candidate water regime detection network based on the inference water regime description carrier information of the evaluation example monitoring water area and the annotation water regime description carrier information of the evaluation example monitoring water area comprises the following steps: loading a water regime characteristic element corresponding to a y-th water regime indicator in annotation water regime description carrier information of the target confidence coefficient and the evaluation example monitoring water area to a preset loss function to obtain candidate detection loss corresponding to the y-th water regime indicator; the target confidence coefficient is the confidence coefficient of the second value of the water regime characteristic element corresponding to the y-th water regime indication mark in the reasoning water regime description carrier information of the evaluation example monitoring water area; wherein y is less than or equal to u; performing coordinated operation on the candidate detection loss corresponding to the y-th water regime indicator to obtain the candidate detection loss after coordinated operation corresponding to the y-th water regime indicator; and adding the coordinated candidate detection losses corresponding to the u water condition indication marks respectively to obtain the inference detection losses of the optimized candidate water condition detection network.

In another aspect, the application provides a digital platform comprising a memory and a processor, the memory storing a computer program executable on the processor, the processor implementing the steps of the method described above when the program is executed.

The beneficial effects of the application at least comprise: according to the water service data visualization implementation method and the digital platform based on big data analysis, which are provided by the embodiment of the application, the digital platform respectively acquires the initial water regime description carrier information of the target monitoring water area, the first involved monitoring water area and the second involved monitoring water area, and the initial water regime description carrier information characterizes the inherent characteristics of the water area of the monitoring water area and the clear water regime indication mark. And then, directly implying the initial water regime description carrier information of the target monitoring water area with the initial water regime description carrier information of the first implying monitoring water area to obtain first implying water regime description carrier information, and indirectly implying the initial water regime description carrier information of the target monitoring water area with the initial water regime description carrier information of the first implying monitoring water area and the initial water regime description carrier information of the second implying monitoring water area to obtain second implying water regime description carrier information. The implicit water condition indication marks of the target monitoring water area can be obtained through extraction by adopting the direct involvement operation and the indirect involvement operation, in other words, the first involvement water condition description carrier information and the second involvement water condition description carrier information can not only represent the inherent characteristics and the definite water condition indication marks of the target monitoring water area, but also represent the implicit water condition indication marks of the target monitoring water area. The method comprises the steps that target water regime description carrier information of a target monitoring water area is generated based on first involved water regime description carrier information and second involved water regime description carrier information, the target water regime description carrier information can represent rich water regime indication marks of the target monitoring water area, and water regime information determined based on the target water regime description carrier information has higher accuracy and reliability, so that accurate display of the water regime information is facilitated in visual monitoring.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

Fig. 1 is a schematic implementation flow chart of a water service data visualization implementation method based on big data analysis according to an embodiment of the present application.

Fig. 2 is a schematic diagram of a topology of a first involved water area topology according to an embodiment of the present application.

Fig. 3 is a schematic diagram of a composition structure of a water service data visualization implementation device according to an embodiment of the present application.

Fig. 4 is a schematic diagram of a hardware entity of a digital platform according to an embodiment of the present application.

Detailed Description

The technical solution of the present application will be further elaborated with reference to the accompanying drawings and examples, which should not be construed as limiting the application, but all other embodiments which can be obtained by one skilled in the art without making inventive efforts are within the scope of protection of the present application.

In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict. The term "first/second/third" is merely to distinguish similar objects and does not represent a particular ordering of objects, it being understood that the "first/second/third" may be interchanged with a particular order or precedence, as allowed, to enable embodiments of the application described herein to be implemented in other than those illustrated or described herein. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing the application only and is not intended to be limiting of the application.

The embodiment of the application provides a water service data visualization realization method based on big data analysis, which can be executed by a processor of a digital platform. The digital platform may refer to a server, a notebook computer, a desktop computer, or other devices with data processing capability.

In order to facilitate understanding of the embodiments of the present application, some technical terms related to the embodiments of the present application will be first described.

Water condition information: the hydrologic data and information obtained by monitoring, analyzing, forecasting and evaluating the relevant elements such as hydrologic, meteorological, water resources and the like. In water monitoring, water condition information includes, but is not limited to, water level, flow, water quality, water temperature, ice condition, groundwater level, etc.

And (3) water area: such as rivers, reservoirs, urban lakes and the like, which have a network connection relationship.

Involves: i.e. there is a correlation or involvement between the two, e.g. the water area to water area, may be a direct connection or an indirect connection (i.e. the water areas are separated by one water area), the corresponding involvement types being direct involvement and indirect involvement.

Description of the vectors: carrier information describing characteristics of object data may be understood as a characteristic representation carrying the object data, which may generally be represented by a characteristic vector, a matrix, a tensor. Correspondingly, the water regime description carrier is carrier information for representing water regime characteristics, for example, elements included in the water regime characteristic vector are element values of the water regime information.

Involving a water topology map: is a graph structure describing the relation of involvement among a plurality of monitored waters, and each topological point is a water condition characteristic description carrier of the monitored waters.

Giant topological point: i.e., the topological point of the target example monitoring waters where the example monitoring waters are involved.

Monitoring the inherent characteristics of the water: is a fixed feature that monitors the body of water, such as type, scale, location, human activity impact, etc.

Dynamic monitoring data of a monitored water area: is the dynamic characteristic of the monitored water area, such as water level, flow rate, rainfall condition, water quality, flow rate and other data.

Referring to fig. 1, the method for implementing visualization of water service data based on big data analysis according to the embodiment of the present application includes:

step S110, the digital platform obtains initial water condition description carrier information of the target monitoring water area, the first involved monitoring water area and the second involved monitoring water area aiming at the water condition information respectively.

Wherein, there is a direct involvement between the target monitoring waters and the first involvement monitoring waters, and an indirect involvement between the target monitoring waters and the second involvement monitoring waters. In the embodiment of the application, the digital platform can acquire the inherent characteristics and dynamic monitoring data of the target monitoring water area, and generates the initial water condition description carrier information of the target monitoring water area aiming at the water condition information based on the inherent characteristics and the dynamic monitoring data of the target monitoring water area. The initial water regime description carrier information of the target monitoring water area comprises inherent characteristic elements representing inherent characteristics of the water area of the target monitoring water area and water regime characteristic elements of water regime indication marks of the target monitoring water area, wherein the mark value of the water regime indication marks of the target monitoring water area is determined based on historical water regime information of the target monitoring water area, and the water regime characteristic elements are water regime indication marks of the target element value, namely clear water regime indication marks of the target monitoring water area, in other words, the initial water regime description carrier information of the target monitoring water area represents clear water regime indication marks of the target monitoring water area. Based on the same thought, the digital platform acquires inherent characteristics and dynamic monitoring data of the first involved monitoring water area, and generates initial water condition description carrier information of the first involved monitoring water area aiming at water condition information based on the inherent characteristics and the dynamic monitoring data of the first involved monitoring water area. The initial water condition descriptive carrier information of the first involved monitoring water area comprises inherent characteristic elements representing inherent characteristics of the water area of the first involved monitoring water area and water condition characteristic elements of water condition indication marks of the first involved monitoring water area, the mark value of the water condition indication marks of the first involved monitoring water area is determined based on historical water condition information of the first involved monitoring water area, and the water condition characteristic elements are water condition indication marks with target element values, namely clear water condition indication marks of the first involved monitoring water area, in other words, the initial water condition descriptive carrier information of the first involved monitoring water area represents clear water condition indication marks of the first involved monitoring water area. The digital platform obtains inherent characteristics and dynamic monitoring data of the second involved monitoring water area, and generates initial water condition description carrier information of the second involved monitoring water area for water condition information based on the inherent characteristics and dynamic monitoring data of the second involved monitoring water area. The initial water condition descriptive carrier information of the second involved monitoring water area comprises inherent characteristic elements representing inherent characteristics of the water area of the second involved monitoring water area and water condition characteristic elements of water condition indication marks of the second involved monitoring water area, the mark value of the water condition indication marks of the second involved monitoring water area is determined based on historical water condition information of the second involved monitoring water area, and the water condition characteristic elements are water condition indication marks with target element values, namely clear water condition indication marks of the second involved monitoring water area, in other words, the initial water condition descriptive carrier information of the second involved monitoring water area represents clear water condition indication marks of the second involved monitoring water area.

In a possible design, step S110 includes: acquiring a first involved water area topological graph corresponding to the target monitoring water area, wherein the first involved water area topological graph comprises a first topological point for representing initial water condition description carrier information of the target monitoring water area, a second topological point for representing initial water condition description carrier information of the candidate involved monitoring water area, and a connecting edge between the first topological point and the second topological point; the target monitoring waters are associated with the candidate involvement monitoring waters; sampling a second topological point in the topological graph of the first involved water area according to the topological point track taking the first topological point as a starting point to obtain a first involved monitoring water area with direct involved relation with the target monitoring water area and a second involved monitoring water area with indirect involved relation with the target monitoring water area; initial water condition description carrier information of the target monitoring water area, the first involved monitoring water area and the second involved monitoring water area aiming at the water condition information is respectively obtained in the first involved water area topological diagram.

The above candidate involved monitoring waters include candidate involved monitoring waters having a direct involved relationship with the target monitoring waters, and candidate involved monitoring waters having an indirect involved relationship with the target monitoring waters, the digital platform determining the candidate involved monitoring waters having a direct involved relationship with the target monitoring waters in whole or in part in the first involved water topology map as a first involved monitoring waters, and determining the candidate involved monitoring waters having an indirect involved relationship with the target monitoring waters in whole or in part in the first involved water topology map as a second involved monitoring waters; initial water condition description carrier information of the target monitored water area, the first involved monitored water area and the second involved monitored water area are acquired in the first involved water area topological diagram respectively.

As a specific example, referring to fig. 2, the first involved water topology map includes first topology points being topology point 1, second topology points being topology point 2, topology point 3, topology point 4, topology point 5, topology point 6, topology point 7, topology point 8, topology point 9, topology point 10, topology point 11, and topology point 12, where topology point 1 characterizes initial water condition description carrier information of the target monitored water, topology point 2, topology point 3, topology point 4, topology point 5, and topology point 6 respectively characterizes initial water condition description carrier information of the first candidate involved monitored water having a direct involved relationship with the target monitored water, and topology point 7, topology point 8, topology point 9, topology point 10, topology point 11, and topology point 12 respectively characterize initial water condition description carrier information of the second candidate involved monitored water having an indirect involved relationship with the target monitored water. The digital platform sequentially walks a second topological point in the topological graph of the first involved water area according to the topological point track (namely the corresponding path) taking the topological point 1 as a starting point to obtain a first candidate involved monitoring water area with a direct involved relation with the target monitoring water area and a second candidate involved monitoring water area with an indirect involved relation with the target monitoring water area. And then extracting some of the candidate involved monitoring waters from the first involved monitoring waters determined to have a direct involved relationship with the target monitoring waters, as shown in fig. 2, wherein the first involved monitoring waters include first candidate involved monitoring waters corresponding to topological points 2,3, 4 and 5, respectively, and the first candidate involved monitoring waters corresponding to topological point 6 are not in compliance with the extraction requirements. And extracting part of the candidate involved monitoring water areas from the second candidate involved monitoring water areas, wherein the second involved monitoring water areas are determined to have indirect involved relation with the target monitoring water area, as shown in fig. 2, the second involved monitoring water areas comprise second candidate involved monitoring water areas corresponding to the topological point 7, the topological point 8, the topological point 9, the topological point 10, the topological point 11 and the topological point 12 respectively, namely the second candidate involved monitoring water areas corresponding to the topological point 7, the topological point 8, the topological point 9, the topological point 10, the topological point 11 and the topological point 12 respectively meet the extraction requirement. Determining initial water condition description carrier information of a candidate involved monitoring water area corresponding to a first involved monitoring water area in a first involved water area topological graph as initial water condition description carrier information of the first involved monitoring water area, determining initial water condition description carrier information of a candidate involved monitoring water area corresponding to a second involved monitoring water area in the first involved water area topological graph as initial water condition description carrier information of the second involved monitoring water area, and acquiring initial water condition description carrier information of a target monitoring water area in the first involved water area topological graph. Based on sampling operation (sampling) of candidate involved monitoring waters having a involved relationship with the target monitoring waters, the excessive number of the monitoring waters of the candidate involved monitoring waters is prevented from causing excessive calculation consumption, and simultaneously, the insufficient accuracy of target water condition description carrier information of the target monitoring waters caused by the unbalanced distribution of the candidate involved monitoring waters is prevented.

In a possible design, the initial water regime description carrier information includes water regime feature elements corresponding to the u water regime indication marks, for example, the initial water regime description carrier information is [ a ₁,a₂,a₃,…,a_u],a₁～a_u, i.e. water regime feature elements. Sampling a second topological point in the topological graph of the first involved water area according to the topological point track taking the first topological point as a starting point to obtain a first involved monitoring water area with direct involved relation with the target monitoring water area and a second involved monitoring water area with indirect involved relation with the target monitoring water area, wherein the method comprises the following steps: sequentially extracting (i.e. sampling) second topological points in the topological graph of the first involved water area according to the topological point track taking the first topological points as starting points to obtain w first candidate involved monitoring water areas with direct involved relation with the target monitored water area and v second candidate involved monitoring water areas with indirect involved relation with the target monitored water area; acquiring the number of first monitoring water areas of the first candidate involved monitoring water areas with water condition characteristic elements which are all the first values corresponding to u water condition indication marks in w first candidate involved monitoring water areas; acquiring the number of second monitoring water areas of the v second candidate involved monitoring water areas, wherein the water condition characteristic elements corresponding to the u water condition indication marks are all first values of the second candidate involved monitoring water areas; if the number of the first monitored water areas is smaller than the first set value, taking w first candidate involved monitored water areas as first involved monitored water areas with direct involved relation with the target monitored water area; and if the number of the second monitored water areas is smaller than the second set value, taking v second candidate involved monitored water areas as first involved monitored water areas which have direct involved relation with the target monitored water area. Wherein the values of v and w may be equal or different.

The initial water regime description carrier information comprises water regime feature elements corresponding to the u water regime indication marks, such as a plurality of dimensions in a feature vector. The water regime indicator marks represent water regime information or water regime indicator marks of water regime information, the water regime characteristic elements can be a second value (for example, 1) or a first value (for example, 0), the water regime indicator marks with the second value represent that the water regime indicator marks exist in the target monitoring water area, and the water regime indicator marks with the first value represent that the water regime indicator marks do not exist in the target monitoring water area. For example, if the water condition indicating mark is a water condition indicating mark with increased oxygen content, and if the water condition characteristic element of the target monitoring water area about the increased oxygen content is 1, it indicates that the target monitoring water area will have increased oxygen content, that is, the target monitoring water area has the water condition indicating mark with increased oxygen content; if the characteristic element of the water condition of the target monitoring water area about the oxygen content increase is 0, the water condition indicating mark representing that the oxygen content increase does not occur in the target monitoring water area, namely the target monitoring water area does not have the oxygen content increase water condition indicating mark. The water regime characteristic elements corresponding to the u water regime indication marks in the initial water regime description carrier information of the monitoring water area are all first values, and the monitoring water area is regarded as the monitoring water area without the water regime indication marks, and can also be regarded as the unmarked monitoring water area; the characteristic elements of the water regime corresponding to the u water regime indicators in the initial water regime description carrier information of the monitoring water area are not all the first values, and the monitoring water area can be regarded as the monitoring water area with the water regime indicators, and the monitoring water area can be regarded as the monitoring water area with the markers.

In order to prevent various water conditions in the first and second involved monitoring waters of the target monitoring waters from being inconsistent, i.e. unbalanced, the digital platform may sequentially extract the second topological points in the first involved monitoring waters according to the topological point track taking the first topological point as the starting point, obtain w first candidate involved monitoring waters having a direct involved relationship with the target monitoring waters, and obtain v second candidate involved monitoring waters having an indirect involved relationship with the target monitoring waters, in other words, obtain a limited number of first involved monitoring waters and second involved monitoring waters in the first involved monitoring waters topological map, so as to prevent the number of the monitoring waters in the first involved monitoring waters or the second involved monitoring waters from being excessive, and reduce the operation cost. Then, the number of first monitoring water areas of the first candidate involved monitoring water areas with the water condition characteristic elements corresponding to the u water condition indication marks in w first candidate involved monitoring water areas being the first value can be obtained, and the number of second monitoring water areas of the second candidate involved monitoring water areas with the water condition characteristic elements corresponding to the u water condition indication marks being the first value in v second candidate involved monitoring water areas can be obtained; the number of the first monitored water areas represents the number of the monitored water areas corresponding to the unmarked monitored water areas in the w first candidate involved monitored water areas, and the number of the second monitored water areas represents the number of the monitored water areas corresponding to the unmarked monitored water areas in the v second candidate involved monitored water areas.

Then, if the number of the first monitored waters is smaller than the first set value, it means that the number of w first candidate involved monitored waters is not large and the number of marked monitored waters is large, that is, the w first candidate involved monitored waters are mainly marked monitored waters, and the w first candidate involved monitored waters are used as the first involved monitored waters having direct involved relation with the target monitored waters. If the number of the second monitored water areas is smaller than the second set value, the number of the unmarked monitored water areas in the v second candidate involved monitored water areas is represented to be not large, and the number of the marked monitored water areas is large, namely, the marked monitored water areas in the v second candidate involved monitored water areas are mainly used, and the v second candidate involved monitored water areas are used as the first involved monitored water areas which have direct involved relation with the target monitored water areas. The first set point may be determined based on the number of monitored water areas in the first involved monitored water area and the second set point may be determined based on the number of monitored water areas in the second involved monitored water area. Based on sampling operation of the first candidate involved monitoring water area and the second candidate involved monitoring water area, the unmarked monitoring water area can be prevented from being used as the main area, the hidden water condition indication mark of the target monitoring water area can not be accurately extracted, and the accuracy of obtaining the target water condition description carrier information of the target monitoring water area is improved.

In step S120, the digital platform performs direct involvement operation on the initial water regime description carrier information of the target monitoring water area and the initial water regime description carrier information of the first involved monitoring water area to obtain the first involved water regime description carrier information of the target monitoring water area.

In the embodiment of the application, a digital platform directly involves the initial water regime description carrier information of a target monitoring water area and the initial water regime description carrier information of a first involved monitoring water area to obtain the first involved water regime description carrier information of the target monitoring water area; the direct-involvement operation is to mine the implicit water condition characteristics of the target monitoring water area (i.e. the characteristics that the water condition change may occur under the influence of the involved monitoring water area) based on the initial water condition description carrier information of the target monitoring water area and the initial water condition description carrier information of the first involved monitoring water area, i.e. the first involved water condition description carrier information characterizes the explicit water condition characteristics, the implicit water condition characteristics and the inherent water condition characteristics of the target monitoring water area.

In a possible design, step S120 includes: and carrying out average calculation on the initial water regime description carrier information of the first involved monitoring water areas through a direct carrier detection module of the target water regime detection network to obtain first average water regime description carrier information, determining first water regime involved information for the first involved monitoring water areas based on the first average water regime description carrier information, and determining first involved water regime description carrier information of the target monitoring water areas based on the first water regime involved information and the initial water regime description carrier information of the target monitoring water areas.

The digital platform can perform weighted average calculation on initial water regime description carrier information of a plurality of first involved monitoring water areas based on the involved degrees between the target monitoring water areas and each first involved monitoring water area respectively through a direct carrier detection module of the target water regime detection network, so as to obtain first average water regime description carrier information. Then determining first water condition involvement information for the plurality of first involved monitoring waters based on the first mean water condition description carrier information; the first water condition involvement information includes at least one of a first collaborative involvement, a first water condition involvement, and a fourth number of monitored waters for each water condition indicator, the first collaborative involvement characterizing a involvement between the water condition indicator and a water inherent characteristic of the first monitored waters, the first water condition involvement characterizing the involvement between the water condition indicators, the fourth number of monitored waters for each water condition indicator characterizing a corresponding number of monitored waters for which the first involvement of the water condition indicator is present. The digital platform may determine the first water of interest description carrier information based on three ways:

The first water regime involvement information comprises a first cooperative involvement relation, a first implicit water regime indication mark of the target monitoring water area is mined based on the first cooperative involvement relation and initial water regime description carrier information of the target monitoring water area, and water regime characteristic elements corresponding to the first implicit water regime indication mark in the initial water regime description carrier information of the target monitoring water area are adjusted to be a second value, so that first involved water regime description carrier information is obtained. For example, the inherent characteristics of the water area of the urban lake with the radius of less than 50 meters are related to the water regime indication marks corresponding to the increase of the oxygen content, if the urban lake with the radius of less than 50 meters of the target monitoring water area is determined based on the initial water regime description carrier information of the target monitoring water area, the water regime indication marks corresponding to the increase of the oxygen content are used as the first hidden water regime indication marks of the target monitoring water area, the water regime characteristic elements corresponding to the first hidden water regime indication marks in the initial water regime description carrier information of the target monitoring water area are corrected to be target element values, and the first involved water regime description carrier information of the target monitoring water area is obtained.

The second mode, the first water regime involving information comprises a first water regime involving relationship, a second implicit water regime indicating mark of the target monitoring water area is excavated based on the first water regime involving relationship and the initial water regime describing carrier information of the target monitoring water area, and water regime characteristic elements corresponding to the second implicit water regime indicating mark in the initial water regime describing carrier information of the target monitoring water area are adjusted to be a second value, so that the first involved water regime describing carrier information is obtained. For example, the first water condition involvement relationship indicates that the water condition indicator corresponding to the increase in oxygen content is associated with the water condition indicator corresponding to the decrease in water temperature, that is, the water condition indicator corresponding to the decrease in water temperature is also present in most of the monitored waters in the first involved monitored waters in which the water condition indicator corresponding to the increase in oxygen content is present. If the water regime indication mark corresponding to the oxygen content increase in the target monitoring water area is determined based on the initial water regime description carrier information of the target monitoring water area, the water regime indication mark corresponding to the water temperature decrease is used as a second hidden water regime indication mark of the target monitoring water area, and the water regime characteristic element corresponding to the second hidden water regime indication mark in the initial water regime description carrier information of the target monitoring water area is corrected to a second value, so that the first involved water regime description carrier information is obtained.

The third mode, the first water regime involving information comprises the number of fourth monitoring water areas of each water regime indicating mark, the third hidden state water regime indicating mark of the target monitoring water area is excavated based on the number of the fourth monitoring water areas and the initial water regime describing carrier information of the target monitoring water area, and the water regime characteristic element corresponding to the third hidden state water regime indicating mark in the initial water regime describing carrier information of the target monitoring water area is adjusted to be a second value, so that the first involved water regime describing carrier information is obtained. For example, the total number of the monitored water areas of the first involved monitored water area is 6, the number of the monitored water areas with the water condition indication marks corresponding to the increase of the oxygen content in the first involved monitored water area is 5, the water condition indication marks corresponding to the increase of the oxygen content are used as the third hidden state water condition indication marks of the target monitored water area, and the water condition characteristic elements corresponding to the third hidden state water condition indication marks in the initial water condition description carrier information of the target monitored water area are corrected to be a second value, so that the first involved water condition description carrier information is obtained. The hidden state water regime indication mark of the target monitoring water area can be extracted based on direct involvement operation, so that the accuracy of obtaining the target water regime description carrier information of the target monitoring water area is improved.

In step S130, the digital platform performs indirect involvement operation on the initial water regime description carrier information of the target monitoring water area and the initial water regime description carrier information of the second involved monitoring water area, so as to obtain the second involved water regime description carrier information of the target monitoring water area.

In the embodiment of the application, the digital platform carries out indirect involvement operation on the initial water regime description carrier information of the target monitoring water area and the initial water regime description carrier information of the second involved monitoring water area, and the initial water regime description carrier information of the first involved monitoring water area to obtain the second involved water regime description carrier information of the target monitoring water area, wherein the indirect involvement operation is based on the initial water regime description carrier information of the target monitoring water area and the initial water regime description carrier information of the first involved monitoring water area, the initial water regime description carrier information of the second involved monitoring water area excavates the hidden water regime characteristics of the target monitoring water area, namely the second involved water regime description carrier information characterizes the clear water regime characteristics and the hidden water regime characteristics of the target monitoring water area, and the inherent water regime characteristics of the target monitoring water area. The hidden state water regime indication mark of the target monitoring water area can be extracted based on indirect involvement operation, and the accuracy of obtaining the target water regime description carrier information of the target monitoring water area is improved.

In a feasible design, the digital platform can acquire the second involved water condition description carrier information of the target monitoring water area in the following two ways:

Mode a: the digital platform carries out mean value calculation on initial water regime description carrier information of the target monitoring water area and initial water regime description carrier information of the second involved monitoring water area through an indirect carrier detection module of the target water regime detection network to obtain second mean value water regime description carrier information, and determines second water regime involved information aiming at the target monitoring water area and the second involved monitoring water area based on the second mean value water regime description carrier information; second water regime description carrier information of the target monitored water area is determined based on the second water regime involvement information and the initial water regime description carrier information of the first involved monitored water area.

The digital platform can perform weighted average calculation on the initial water regime description carrier information of the target monitoring water area and the initial water regime description carrier information of the second involved monitoring water area based on the involved degree between the target monitoring water area and the second involved monitoring water area through an indirect carrier detection module of the target water regime detection network, so as to obtain second average water regime description carrier information. And then determining second water regime involvement information for the target monitoring water area and between the second involved monitoring water areas based on the second mean water regime description carrier information, wherein the second water regime involvement information comprises at least one of a second collaborative involvement relationship, a second water regime involvement relationship and a fifth monitoring water area number of each water regime indicator, the second collaborative involvement relationship characterizes the involvement relationship among the water regime indicators of the second involved monitoring water area and the target monitoring water area, and inherent characteristics of the water areas, the second water regime involvement relationship characterizes the involvement relationship among the water regime indicators, and the fifth monitoring water area number corresponding to each water regime indicator characterizes the second involved monitoring water area with the water regime indicator and the corresponding monitoring water area number in the target monitoring water area. The digital platform can mine the implicit water condition characteristics of the first involved monitoring water area based on the second water condition involved information and the initial water condition description carrier information of the first involved monitoring water area, determine the implicit water condition indication mark of the first involved monitoring water area as the implicit water condition indication mark of the target monitoring water area, iterate the initial water condition description carrier information of the target monitoring water area based on the implicit water condition indication mark of the target monitoring water area, and obtain the second involved water condition description carrier information of the target monitoring water area.

Mode B: the digital platform carries out mean value calculation on initial water regime description carrier information of a first involved monitoring water area and initial water regime description carrier information of a second involved monitoring water area through an indirect carrier detection module of a target water regime detection network to obtain fourth mean value water regime description carrier information, third water regime involved information between the first involved monitoring water area and the second involved monitoring water area is determined based on the fourth mean value water regime description carrier information, and second involved water regime description carrier information of the target monitoring water area is determined based on the third water regime involved information and the initial water regime description carrier information of the target monitoring water area.

The digital platform can perform weighted average calculation on the initial water regime description carrier information of the first involved monitoring water area and the initial water regime description carrier information of the second involved monitoring water area based on the degree of involvement between the target monitoring water area and the first involved monitoring water area and the second involved monitoring water area respectively through an indirect carrier detection module of the target water regime detection network, so as to obtain fourth average water regime description carrier information. Then determining third water regime involvement information for the first and second involved monitored waters based on the fourth mean water regime description carrier information, the third water regime involvement information including at least one of a third collaborative involvement, a third water regime involvement, and a number of sixth monitored waters for each water regime indicator; the third collaborative involvement characterizes the involvement between the water condition indicators and the inherent water characteristics of the second, first and second, respectively, water condition indicators, the third water condition involvement characterizes the involvement between the water condition indicators, and the sixth number of monitored water areas of each water condition indicator characterizes the number of corresponding monitored water areas in the second and first water condition indicators. The digital platform can excavate the hidden state water regime indication mark of the target monitoring water area based on the third water regime involvement information and the initial water regime description carrier information of the target monitoring water area, iterate the initial water regime description carrier information of the target monitoring water area based on the hidden state water regime indication mark of the target monitoring water area, and obtain the second involvement water regime description carrier information of the target monitoring water area.

The indirect involvement of the hidden water condition indicator in the excavation target monitoring water area is the same as the direct involvement of the hidden water condition indicator in the excavation target monitoring water area.

In step S140, the digital platform generates the target water regime description carrier information of the target monitoring water area based on the first and second water regime description carrier information, and determines the water regime information of the target monitoring water area based on the target water regime description carrier information.

In the embodiment of the application, the first involved water regime description carrier information characterizes the inherent water regime characteristic of the target monitoring water area, the clear water regime characteristic and the first hidden water regime characteristic of the target monitoring water area, and the second involved water regime description carrier information characterizes the inherent water regime characteristic of the target monitoring water area, the clear water regime characteristic and the second hidden water regime characteristic of the target monitoring water area. Or the second involved water regime description carrier information characterizes the inherent water regime characteristics of the target monitoring water regime, and the clear water regime characteristics, the second hidden water regime characteristics and the third hidden water regime characteristics of the target monitoring water regime. And then the digital platform can splice the first and second involved water regime description carrier information to obtain target water regime description carrier information of the target monitoring water area, the target water regime description carrier information can characterize rich water regime characteristics of the target monitoring water area, and the water regime information of the target monitoring water area can be determined based on the target water regime description carrier information, so that the accuracy of water regime information determination is improved.

In a possible design, step S140 includes: the target carrier detection module of the target water regime detection network is used for carrying out average value calculation on second involved water regime description carrier information corresponding to each of a plurality of second involved monitoring water areas to obtain third average value water regime description carrier information; and splicing the first water regime description carrier information and the third mean water regime description carrier information to obtain target water regime description carrier information of the target monitoring water area.

The digital platform can calculate the average value of the second water condition description carrier information corresponding to the second water condition monitoring areas respectively through the target carrier detection module of the target water condition detection network to obtain third average water condition description carrier information, and fuse the first water condition description carrier information and the third average water condition description carrier information (if the description carrier is a vector, the vector is directly connected end to complete the fusion), so as to obtain the fused water condition description carrier information. The merging is to merge element values in the first water condition description carrier information into third mean water condition description carrier information to obtain merged water condition description carrier information, for example, vectors of which the first water condition description carrier information and the third mean water condition description carrier information are 2x 2, and vectors of which the merged water condition description carrier information is 2x 4. And then, normalizing the fused water regime description carrier information to obtain target water regime description carrier information of the target monitoring water area, wherein the target water regime description carrier information of the target monitoring water area can represent rich water regime characteristics of the target monitoring water area, and the accuracy of obtaining the water regime description carrier information of the target monitoring water area is improved. The carrier detection module (including a direct carrier detection module and an indirect carrier detection module) can be any feasible neural network layer, and the specific architecture of the carrier detection module is not limited by the application.

Step S150, displaying the water condition information of the target monitoring water area on a preset visualization module.

For example, the preset visualization module is a module for performing visualized display of water condition data on a plurality of monitoring waters in a large range (for example, in an administrative division) by using a visualization tool, for example, data visualization is implemented by using tools such as Tableau, power BI, python Matplotlib, seaborn, and the like, and then, based on the determined water condition information of the target monitoring waters, the visualization information of the monitoring waters corresponding to the visualization module is dynamically updated, for example, the size, color, curve, and the like of the corresponding visualization area are adjusted, and the specific manner can refer to the related art, and is not limited herein.

In the embodiment of the application, the digital platform can respectively acquire the initial water regime description carrier information of the target monitoring water area, the first involved monitoring water area and the second involved monitoring water area, and the initial water regime description carrier information characterizes the inherent water regime characteristics and the clear water regime indication marks of the monitoring water area. And then directly implying the initial water regime description carrier information of the target monitoring water area and the initial water regime description carrier information of the first implying monitoring water area to obtain first implying water regime description carrier information, and indirectly implying the initial water regime description carrier information of the target monitoring water area, the initial water regime description carrier information of the first implying monitoring water area and the initial water regime description carrier information of the second implying monitoring water area to obtain second implying water regime description carrier information. The implicit water condition indication marks of the target monitoring water area can be obtained through extraction by adopting the direct involvement operation and the indirect involvement operation, in other words, the first involvement water condition description carrier information and the second involvement water condition description carrier information can not only represent the inherent characteristics and the definite water condition indication marks of the target monitoring water area, but also represent the implicit water condition indication marks of the target monitoring water area. And generating target water regime description carrier information of the target monitoring water area based on the first and second involved water regime description carrier information, wherein the target water regime description carrier information can represent rich water regime indication marks of the target monitoring water area, so that the water regime information determined based on the target water regime description carrier information has higher accuracy and reliability.

In one embodiment, the method for realizing the visualization of the water service data based on big data analysis provided by the application can comprise a training process of a water condition detection network, and specifically can comprise the following steps:

Step S210, the digital platform respectively acquires annotation water condition description carrier information of the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area aiming at water condition information; there is a direct involvement between the target example monitoring water area and the first involved example monitoring water area, and an indirect involvement between the target example monitoring water area and the second involved example monitoring water area.

In the embodiment of the application, the digital platform can respectively acquire the annotation water regime description carrier information of the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area aiming at the water regime information, the annotation water regime description carrier information of the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area aiming at the water regime information can be determined by repeated manual annotation and check, and the annotation water regime description carrier information represents the actual water regime indication mark of the monitoring water area.

In a possible design, the step S210 includes: acquiring a second involved water area topological graph, wherein the second involved water area topological graph comprises topological points for representing annotation water condition description carrier information of the candidate example monitoring water area and connecting edges between topological points corresponding to the involved candidate example monitoring water area, and the annotation water condition description carrier information comprises water condition characteristic elements corresponding to u water condition indication marks; sampling the topological points in the second involved water area topological graph according to the topological point track in the second involved water area topological graph in sequence to obtain t target candidate example monitoring water areas respectively corresponding to the u water condition indication marks; in the topological graph of the target candidate example monitoring water area corresponding to the water regime indication mark as the second involved water area, the candidate example monitoring water area with the water regime characteristic element corresponding to the water regime indication mark as the second value; determining to obtain a target example monitoring water area, a first involved example monitoring water area and a second involved example monitoring water area based on t target candidate example monitoring water areas and second involved water area topological graphs respectively corresponding to the u water condition indication marks; the target example monitoring water area, the first example monitoring water area and the second example monitoring water area are respectively acquired in the second involved water area topological diagram, and the annotated water condition description carrier information of the water condition information is respectively used for the second example monitoring water area.

For example, the digital platform may acquire a second involved water topology map, acquire the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area in the second involved water topology map based on balanced sampling, i.e. sampling the topology points in the second involved water topology map sequentially according to the topological point track in the second involved water topology map, so as to obtain t target candidate example monitoring water areas corresponding to the u water condition indication marks respectively. In other words, t target candidate example monitoring waters with the water condition indication marks are extracted for each water condition indication mark, and the number of the example monitoring waters corresponding to each water condition indication mark is balanced. In t target candidate example monitoring waters corresponding to the u water condition indication marks respectively, determining some target candidate example monitoring waters as target example monitoring waters, some as evaluation example monitoring waters, and determining a first involved example monitoring waters having a direct involved relationship with the target example monitoring waters and a second involved example monitoring waters having an indirect involved relationship with the target example monitoring waters in a second involved water topology. And then respectively acquiring the target example monitoring water area, the first example monitoring water area and the second example monitoring water area in the second involved water area topological diagram, wherein the second example monitoring water area is respectively used for annotating water condition description carrier information of water condition information. And based on the balanced sampling operation of the first involved water area topological graph, balancing the number of the monitored water areas corresponding to each water regime indication mark so as to increase the generalization effect of the target water regime detection network.

For example, the annotated water condition description carrier information corresponding to any topological point a in the second involved water area topological graph includes an inherent feature element ca for characterizing inherent characteristics of the water area, and water condition feature elements corresponding to the u water condition indicators, for example, the water condition feature elements of the mth water condition indicator may be: dm is E (0, 1), m is less than or equal to u. In fact, if the number of the monitored water areas with some water regime indicators is too many, if the candidate water regime detection network is debugged based on the annotation water regime description carrier information of the example monitored water areas, the target water regime detection network will be used to detect the water regime indicators, and the detection effect of the other water regime indicators is weaker, in other words, the generalization effect of the target water regime detection network is weak, the digital platform adopts balanced extraction to randomly extract t target candidate example monitored water areas including the water regime indicators for each water regime indicator dm in the set S formed by the candidate example monitored water areas in the second involved water area topological graph, and finally obtains and collects to obtain the topological point set S1 formed based on the target candidate example monitored water areas. After the step S1 is obtained, an example monitoring water area debugging set (i.e. training set) and an example monitoring water area evaluation set (i.e. checking set) can be obtained through separation according to a preset percentage, wherein the candidate example monitoring water areas in the example monitoring water area debugging set are used for debugging the candidate water condition detection network, and the candidate example monitoring water areas in the example monitoring water area debugging set are the target example monitoring water areas; candidate example monitoring waters in the example monitoring waters evaluation set verify the commissioning quality of the candidate water condition detection network, and the candidate example monitoring waters in the example monitoring waters evaluation set may be the following evaluation example monitoring waters.

In a feasible design, determining, based on the t target candidate example monitoring waters and the second involved water area topological graphs corresponding to the u water condition indication marks respectively, to obtain the target example monitoring waters, the first involved example monitoring waters and the second involved example monitoring waters includes: determining in the second involved water topology map that there is a direct involved relationship with the target candidate example monitoring water R _m; the target candidate example monitoring water area R _m belongs to t target candidate example monitoring water areas respectively corresponding to the u water regime indication marks, and m is more than or equal to 1; determining a second candidate monitored water area of indirect involvement in the target candidate monitored water area R _m from the second involved water area topology; taking the target candidate example monitoring water area R _m as the target example monitoring water area, extracting x first reference candidate example monitoring water areas from the first reference candidate example monitoring water area to determine the first reference example monitoring water area; e second candidate example of involvement monitoring waters are extracted from the second candidate of involvement monitoring waters to determine as second candidate of involvement monitoring waters.

The digital platform may determine a first candidate example of involvement monitoring waters in direct involvement with the target candidate example monitoring waters R _m in a second candidate of involvement water topology and determine a second candidate of involvement monitoring waters in indirect involvement with the target candidate example monitoring waters R _m from the second candidate of involvement water topology; x first candidate monitored waters may be extracted from the first candidate monitored waters to determine as first candidate monitored waters; extracting e second candidate example of involvement monitoring waters from the second candidate of involvement monitoring waters to determine the second candidate of involvement monitoring waters as the second candidate of involvement monitoring waters; the values of x and e are not limited, and the values depend on the computing power of the digital platform, and the target candidate example monitoring water area R _m is determined as the target example monitoring water area. Based on the sampling operation, the number of the monitoring water areas corresponding to the first and second candidate example monitoring water areas of the target candidate example monitoring water area R _m is not large, so that the computational power overload caused by training of the candidate water condition detection network is prevented.

The first example of involvement monitors the water area to have water condition indicating mark and monitors the water area to have water condition indicating mark more than the number of water areas that a water condition indicating mark does not exist in the water area, the second example of involvement monitors the water area to have water condition indicating mark and monitors the water area to have water condition indicating mark more than the number of water areas that a water condition indicating mark does not exist in the water area; the water regime characteristic element part of the annotated water regime description carrier information of the example monitoring water area is a second value. Or the water regime characteristic elements of the water regime indication marks existing in the example monitoring water area, namely the annotation water regime description carrier information of the example monitoring water area, are all second values, and the water regime characteristic elements of the annotation water regime description carrier information of the example monitoring water area, namely the non-existing water regime indication marks in the example monitoring water area, are all first values, so that the training links of the candidate water regime detection network are prevented from being pulled by the unmarked involved example monitoring water area, and the performance of the hidden water regime indication marks of the target example monitoring water area cannot be extracted by means of the annotation water regime description carrier information of the other involved monitoring water areas. In other words, in order to increase the speed of debugging the candidate water condition detection network during the debugging and inspection, all the first candidate example monitoring water area and the second candidate example monitoring water area of the target example monitoring water area are not loaded into the candidate water condition detection network, and specifically, the first candidate example monitoring water area and the second candidate example monitoring water area are extracted in advance. Setting the number of the first and second largest involved example monitoring waters as x and e for each target example monitoring waters during extraction so as to prevent the huge topological points from causing insufficient adjustment calculation force supply. In addition, the first involved example monitoring water area and the second involved example monitoring water area of each example monitoring water area are set, the number of the monitoring water areas of the marked involved example monitoring water areas is not less than that of the monitoring water areas of the involved example monitoring water areas, which are not marked, the debugging links of the candidate water condition detection network are prevented from being pulled by the unmarked involved monitoring water areas, and the performance of mining the hidden water condition indication mark of the hidden target example monitoring water area depending on the annotation water condition description carrier information of the involved example monitoring water areas is lost.

In step S220, the digital platform respectively performs noise adding on the annotation water condition description carrier information of the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area through the candidate water condition detection network, so as to obtain the corresponding noise added annotation water condition description carrier information of the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area.

In the embodiment of the application, the digital platform can respectively carry out noise adding on the annotation water condition description carrier information of the target example monitoring water area and the annotation water condition description carrier information of the second involved example monitoring water area, and the annotation water condition description carrier information of the first involved example monitoring water area, so as to obtain the noise added annotation water condition description carrier information corresponding to the target example monitoring water area, the noise added annotation water condition description carrier information corresponding to the second involved example monitoring water area and the noise added annotation water condition description carrier information corresponding to the first involved example monitoring water area. In the embodiment of the application, the water regime characteristic elements in the annotation water regime description carrier information are adjusted by adding noise, and the noise adding process can be to add disturbance data to the annotation water regime description carrier information of the target example monitoring water area, the annotation water regime description carrier information of the second involved example monitoring water area and the annotation water regime description carrier information of the first involved example monitoring water area through the encoder of the candidate water regime detection network. And generating actual water regime description carrier information (annotation water regime description carrier information) corresponding to each monitored water area through a decoder in the candidate water regime detection network. The noise is added based on the annotation water regime description carrier information, so that the generalization effect of the inference water regime description carrier information of the target example monitoring water area, namely the generalization effect of the target water regime detection network, can be increased.

In a possible design, step S220 includes: the digital platform modifies the water regime characteristic elements in the annotation water regime description carrier information of the target example monitoring water area through the candidate water regime detection network to obtain the noisy annotation water regime description carrier information corresponding to the target example monitoring water area; modifying water regime characteristic elements in annotation water regime description carrier information of the first involved example monitoring water area to obtain noisy annotation water regime description carrier information corresponding to the first involved example monitoring water area; and modifying the water regime characteristic elements in the annotation water regime description carrier information of the second involved example monitoring water area to obtain the noisy annotation water regime description carrier information corresponding to the second involved example monitoring water area.

The digital platform can randomly revise a second value corresponding to a water regime indication mark in annotation water regime description carrier information of the target example monitoring water area into a first value according to the target confidence coefficient through an encoder of the candidate water regime detection network to obtain the denoised annotation water regime description carrier information corresponding to the target example monitoring water area, namely, randomly clear a real water regime indication mark of the target example monitoring water area according to the target confidence coefficient, namely, randomly add disturbance data into the annotation water regime description carrier information of the target example monitoring water area according to the target confidence coefficient. Based on the same thought, the digital platform randomly corrects the second value corresponding to the water regime indication mark in the annotation water regime description carrier information of the first involved example monitoring water area to a first value according to the target confidence coefficient through the encoder of the candidate water regime detection network, so as to obtain the noisy annotation water regime description carrier information corresponding to the first involved example monitoring water area, namely randomly clearing the real water regime indication mark of the first involved example monitoring water area according to the first involved confidence coefficient, namely randomly adding disturbance data into the annotation water regime description carrier information of the first involved example monitoring water area according to the first involved confidence coefficient. The digital platform can randomly correct a second value corresponding to the water regime indication mark in the annotation water regime description carrier information of the second involved example monitoring water area to a first value according to the target confidence coefficient through the encoder of the candidate water regime detection network to obtain the noisy annotation water regime description carrier information corresponding to the second involved example monitoring water area, namely randomly cleaning the real water regime indication mark of the second involved example monitoring water area according to the first involved confidence coefficient, namely randomly adding disturbance data into the annotation water regime description carrier information of the second involved example monitoring water area according to the first involved confidence coefficient. Disturbance data is added into annotation water regime description carrier information to help improve generalization effect of inference water regime description carrier information of a target example monitoring water area, namely, to improve generalization effect of a target water regime detection network.

The candidate water condition detection network is an initial water condition detection network to be trained, which may be any feasible deep neural network or graph neural network, for example, the candidate water condition detection network is a graph neural network, the execution data of which is a second involved water area topological graph, the second involved water area topological graph comprises topological points corresponding to a target example monitoring water area, topological points corresponding to a first involved example monitoring water area with a direct involved relation with the target example monitoring water area, and topological points corresponding to a second involved example monitoring water area with an indirect involved relation with the target example monitoring water area.

Step S230, the digital platform carries out correlation reasoning on the noisy annotation water condition description carrier information corresponding to the target example monitoring water area, the noisy annotation water condition description carrier information corresponding to the second involved example monitoring water area and the noisy annotation water condition description carrier information corresponding to the first involved example monitoring water area to obtain the reasoning water condition description carrier information of the target example monitoring water area.

In the embodiment of the application, a digital platform carries out direct involvement reasoning on the noisy annotation water condition description carrier information corresponding to the target example monitoring water area and the noisy annotation water condition description carrier information corresponding to the first involvement example monitoring water area to obtain first involvement reasoning water condition description carrier information; and indirectly implying the denoised annotation water regime description carrier information corresponding to the target example monitoring water area with the denoised annotation water regime description carrier information corresponding to the first implantated example monitoring water area and the denoised annotation water regime description carrier information corresponding to the second implantated example monitoring water area to obtain second implantated inference water regime description carrier information, and determining the inference water regime description carrier information of the target example monitoring water area based on the first implantated inference water regime description carrier information and the second implantated inference water regime description carrier information. The direct-involvement reasoning here is consistent with the specific meaning of the above direct-involvement operation, that is, direct-involvement reasoning, i.e., mining the implicit water condition features of the target example monitoring waters based on the noisy annotated water condition description carrier information corresponding to the target example monitoring waters and the noisy annotated water condition description carrier information corresponding to the first involved example monitoring waters. Based on the same idea, the indirect implication reasoning here is consistent with the above indirect implication operation meaning, that is, the indirect implication reasoning is to mine the implicit water regime characteristics of the target example monitoring waters based on the noisy annotated water regime description carrier information corresponding to the target example monitoring waters, the noisy annotated water regime description carrier information corresponding to the first involved example monitoring waters, and the noisy annotated water regime description carrier information corresponding to the second involved example monitoring waters.

Step S240, the digital platform optimizes the candidate water regime detection network based on the annotation water regime description carrier information and the inference water regime description carrier information of the target example monitoring water area to obtain a target water regime detection network.

In the embodiment of the application, the digital platform can acquire the spatial similarity between the inferred water regime description carrier information and the annotated water regime description carrier information of the target example monitoring water area, the spatial similarity can be obtained by calculating the spatial distance (such as Euclidean distance) between the corresponding description carriers (such as vectors), the water regime feature inference error of the candidate water regime detection network is determined based on the spatial similarity, and the water regime feature inference error characterizes the inference accuracy of the water regime description carrier information of the candidate water regime detection network. In other words, the smaller the spatial similarity is, the larger the difference between the representative inference water condition description carrier information and the annotation water condition description carrier information of the target example monitoring water area is, namely, the larger the water condition characteristic inference error is, and the inference accuracy of the water condition description carrier information of the candidate water condition detection network is low. Then, the digital platform can optimize the candidate water regime detection network based on the water regime feature reasoning error to obtain the target water regime detection network, and the accuracy of the target water regime detection network can be increased.

In a feasible design scheme, the digital platform optimizes the candidate water regime detection network based on the annotation water regime description carrier information and the inference water regime description carrier information of the target example monitoring water area, and the mode of obtaining the target water regime detection network can be the following two modes:

Mode I: the digital platform optimizes the candidate water regime detection network based on the annotation water regime description carrier information and the inference water regime description carrier information of the target example monitoring water area to obtain an optimized candidate water regime detection network, determines the optimization times of the candidate water regime detection network, and takes the optimized candidate water regime detection network as the target water regime detection network if the optimization times are greater than the set times.

The digital platform can acquire spatial similarity between annotation water regime description carrier information and inference water regime description carrier information of the target example monitoring water area, determine water regime feature inference errors of the candidate water regime detection network based on the spatial similarity, and optimize the candidate water regime detection network based on the water regime feature inference errors to obtain the optimized candidate water regime detection network. The candidate water regime detection network is optimized based on the water regime characteristic reasoning errors, and the parameters of the network are corrected, and the optimization can be realized by adopting a gradient descent algorithm. And then determining the optimization times of the candidate water regime detection network, and taking the optimized candidate water regime detection network as a target water regime detection network if the optimization times are greater than the set maximum times. And if the optimization times are not more than the set maximum times, determining to obtain an example monitoring water area evaluation set based on t target candidate example monitoring water areas and a second involved water area topological graph which are respectively corresponding to the u water condition indication marks in the mode II.

Mode II: optimizing the candidate water regime detection network based on annotation water regime description carrier information and inference water regime description carrier information of the target example monitoring water area to obtain an optimized candidate water regime detection network, and determining to obtain an example monitoring water area evaluation set based on t target candidate example monitoring water areas and a second involved water area topological graph which are respectively corresponding to u water regime indication marks; determining the training quality of the optimized candidate water regime detection network based on the example monitoring water area evaluation set; and determining a target water regime detection network based on the training quality and the optimized candidate water regime detection network.

The digital platform can acquire spatial similarity between annotation water regime description carrier information and inference water regime description carrier information of the target example monitoring water area, determine water regime feature inference errors of the candidate water regime detection network based on the spatial similarity, optimize the candidate water regime detection network and acquire the optimized candidate water regime detection network. And then, arbitrarily determining the target candidate example monitoring water areas from t target candidate example monitoring water areas corresponding to the u water condition indication marks respectively to be determined as evaluation example monitoring water areas, wherein the evaluation example monitoring water areas are different from the target example monitoring water areas, a third involvement example monitoring water area which has a direct involvement relation with the evaluation example monitoring water areas is determined in a second involvement example monitoring water area topological diagram, and a fourth involvement example monitoring water area which has an indirect involvement relation with the evaluation example monitoring water areas are used as an example monitoring water area evaluation set. And then determining the training quality of the optimized candidate water regime detection network based on the example monitoring water regime evaluation set, wherein the training quality characterizes whether the water regime characteristic reasoning effect of the optimized candidate water regime detection network meets the requirement. The digital platform may determine a target water regime detection network based on the training quality and the optimized candidate water regime detection network. And determining the training quality of the optimized candidate water regime detection network based on the example monitoring water regime evaluation set, and finishing the detection of the water regime feature recognition accuracy of the optimized candidate water regime detection network based on the example monitoring water regime evaluation set, thereby helping to increase the water regime feature recognition accuracy of the target water regime detection network and increase the learning effect of the target water regime detection network.

In a possible design, the example monitoring water area evaluation set includes an example monitoring water area, a third example monitoring water area and a fourth example monitoring water area, the example monitoring water area is different from the target example monitoring water area, a direct involvement relationship exists between the example monitoring water area, and the third example monitoring water area, an indirect involvement relationship exists between the example monitoring water area, and the fourth example monitoring water area, and the above-mentioned method includes determining the training quality of the optimized candidate water condition detection network based on the example monitoring water area evaluation set: and through the optimized candidate water condition detection network, the annotation water condition description carrier information of the evaluation example monitoring water area, the third involved example monitoring water area and the fourth involved example monitoring water area is noisy, and the coordinated annotation water condition description carrier information of the evaluation example monitoring water area, the third involved example monitoring water area and the fourth involved example monitoring water area is obtained. And carrying out correlation reasoning on the noisy annotation water condition description carrier information corresponding to the evaluation example monitoring water area, the noisy annotation water condition description carrier information corresponding to the third involved example monitoring water area and the noisy annotation water condition description carrier information corresponding to the fourth involved example monitoring water area through the optimized candidate water condition detection network to obtain the reasoning water condition description carrier information of the evaluation example monitoring water area. Based on the inferred water regime description carrier information of the evaluation example monitoring water area and the annotated water regime description carrier information of the evaluation example monitoring water area, determining the inferred detection loss of the optimized candidate water regime detection network; and determining the training quality of the optimized candidate water regime detection network based on the reasoning detection loss.

The digital platform can carry out noise adding on the annotation water regime description carrier information of the evaluation example monitoring water area through the encoder of the optimized candidate water regime detection network and the optimized candidate water regime detection network, so as to obtain the corresponding noise added annotation water regime description carrier information of the evaluation example monitoring water area; the annotation water condition description carrier information of the third involved example monitoring water area is subjected to noise adding, and the corresponding noise added annotation water condition description carrier information of the third involved example monitoring water area is obtained; and (3) denoising the annotation water condition description carrier information of the fourth involved example monitoring water area to obtain the corresponding denoised annotation water condition description carrier information of the fourth involved example monitoring water area. And then, carrying out association reasoning on the noisy annotation water condition description carrier information corresponding to the evaluation example monitoring water area, the noisy annotation water condition description carrier information corresponding to the third involved example monitoring water area and the noisy annotation water condition description carrier information corresponding to the fourth involved example monitoring water area through a decoder of the optimized candidate water condition detection network to obtain the reasoning water condition description carrier information of the evaluation example monitoring water area. Based on the inferred water regime description carrier information of the evaluation example monitoring water area and the annotated water regime description carrier information of the evaluation example monitoring water area, determining the inferred detection loss of the optimized candidate water regime detection network; if the inference detection loss is smaller than the set loss, determining that the training quality indication network of the optimized candidate water regime detection network reaches a preset quality evaluation condition; if the inference detection loss is not less than the set loss, determining that the training quality indication network of the optimized candidate water regime detection network does not reach the preset quality evaluation condition. And (3) checking the accuracy of the water regime feature identification of the optimized candidate water regime detection network based on the example monitoring water regime evaluation set, so as to help increase the accuracy of the water regime feature identification of the target water regime detection network and increase the learning effect of the target water regime detection network.

In a feasible design scheme, the inferred water regime description carrier information of the evaluation example monitoring water area and the annotated water regime description carrier information of the evaluation example monitoring water area both contain water regime characteristic elements corresponding to u water regime indication marks; the determining the inference detection loss of the optimized candidate water regime detection network based on the inference water regime description carrier information of the evaluation example monitoring water area and the annotation water regime description carrier information of the evaluation example monitoring water area comprises the following steps: loading a water regime characteristic element corresponding to a y-th water regime indicator in annotation water regime description carrier information of the target confidence and the evaluation example monitoring water regime into a preset loss function (such as a cross entropy loss function) to obtain candidate detection loss corresponding to the y-th water regime indicator; the target confidence coefficient is the confidence coefficient of the second value of the water regime characteristic element corresponding to the y-th water regime indication mark in the inference water regime description carrier information of the evaluation example monitoring water area; y is less than or equal to u; performing coordinated operation (i.e. equalization) on the candidate detection loss corresponding to the y-th water regime indicator to obtain the candidate detection loss after coordinated operation corresponding to the y-th water regime indicator; and adding the coordinated candidate detection losses corresponding to the u water regime indication marks respectively to obtain the reasoning detection losses of the optimized candidate water regime detection network. Based on determining the corresponding inference detection loss of each water regime indicator, the accuracy of the target water regime detection network is improved, and based on carrying out coordinated operation on the corresponding inference detection loss of each water regime indicator, the abnormal distribution of the water regime indicators is prevented, so that the accuracy of the target water regime detection network is insufficient.

In a feasible design scheme, performing coordinated operation on the candidate detection loss corresponding to the y-th water regime indicator to obtain the candidate detection loss after coordinated operation corresponding to the y-th water regime indicator, where the method includes: acquiring the number of third monitoring water areas of the example monitoring water areas with the second value of the water regime characteristic elements corresponding to the y-th water regime indication mark in the example monitoring water area evaluation set; and generating a coordination variable based on the number of the third monitoring water areas, and performing coordination operation on the candidate detection loss corresponding to the y-th water regime indicator based on the coordination variable to obtain the candidate detection loss after coordination operation corresponding to the y-th water regime indicator. And determining a coordination variable based on the number of the monitored water areas with the water regime characteristic elements as target element values, and preventing the number of the monitored water areas with the water regime indication marks from being excessive, so that the distribution of the monitored water areas with the water regime indication marks and the monitored water areas without the water regime indication marks is not coordinated, and the accuracy of a target water regime detection network is insufficient.

In a feasible design, determining the target water regime detection network based on the training quality and the optimized candidate water regime detection network includes: if the training quality indication network of the optimized candidate water regime detection network does not reach the preset quality assessment condition, optimizing the optimized candidate water regime detection network based on the annotation water regime description carrier information of the target example monitoring water area and the iterative reasoning water regime description carrier information, so as to obtain the target water regime detection network, wherein the iterative reasoning water regime description carrier information is obtained by carrying out correlation reasoning on the noisy annotation water regime description carrier information corresponding to the target example monitoring water area, the noisy annotation water regime description carrier information corresponding to the second involved example monitoring water area and the noisy annotation water regime description carrier information corresponding to the first involved example monitoring water area through the optimized candidate water regime detection network; and if the training quality indication network of the optimized candidate water regime detection network reaches the preset quality evaluation condition, taking the optimized candidate water regime detection network as a target water regime detection network.

If the training quality indicating network of the optimized candidate water regime detection network does not reach the preset quality evaluation condition (i.e. does not converge), the inference detection loss of the candidate water regime detection network is not minimized, that is, the inference recognition accuracy of the candidate water regime detection network is not optimal, the digital platform can continuously optimize the candidate water regime detection network after optimization based on the annotation water regime description carrier information and the iterative inference water regime description carrier information of the target example monitoring water area until the training quality indicating network of the candidate water regime detection network after optimization reaches the preset quality evaluation condition, and the target water regime detection network is obtained. If the training quality of the optimized candidate water regime detection network reaches a preset quality evaluation condition, the inference detection loss of the optimized candidate water regime detection network is minimized, namely the inference recognition accuracy of the candidate water regime detection network is the best, and the digital platform takes the optimized candidate water regime detection network as a target water regime detection network.

Step S250, the digital platform respectively acquires initial water regime description carrier information of the target monitoring water area, the first involved monitoring water area and the second involved monitoring water area aiming at water regime information; there is a direct involvement between the target and first and second involved monitoring waters, and an indirect involvement between the target and second involved monitoring waters.

In step S260, the digital platform performs direct involvement operation on the initial water regime description carrier information of the target monitoring water area and the initial water regime description carrier information of the first involved monitoring water area through the target water regime detection network, so as to obtain the first involved water regime description carrier information of the target monitoring water area.

In step S270, the digital platform indirectly involves the initial water regime description carrier information of the target monitoring water area and the initial water regime description carrier information of the second involved monitoring water area, and the initial water regime description carrier information of the first involved monitoring water area through the target water regime detection network, so as to obtain the second involved water regime description carrier information of the target monitoring water area.

In step S280, the digital platform generates the target water regime description carrier information of the target monitoring water area based on the first and second water regime description carrier information, and determines the water regime information of the target monitoring water area based on the target water regime description carrier information.

In the embodiment of the application, the digital platform can respectively acquire the initial water regime description carrier information of the target monitoring water area, the first involved monitoring water area and the second involved monitoring water area, and the initial water regime description carrier information characterizes the inherent water regime characteristics and the clear water regime indication marks of the monitoring water area. And then directly implying the initial water regime description carrier information of the target monitoring water area and the initial water regime description carrier information of the first implying monitoring water area to obtain first implying water regime description carrier information, and indirectly implying the initial water regime description carrier information of the target monitoring water area, the initial water regime description carrier information of the first implying monitoring water area and the initial water regime description carrier information of the second implying monitoring water area to obtain second implying water regime description carrier information. The implicit water condition indication marks of the target monitoring water area can be obtained through extraction by adopting the direct involvement operation and the indirect involvement operation, in other words, the first involvement water condition description carrier information and the second involvement water condition description carrier information can not only represent the inherent characteristics and the definite water condition indication marks of the target monitoring water area, but also represent the implicit water condition indication marks of the target monitoring water area. And generating target water regime description carrier information of the target monitoring water area based on the first and second involved water regime description carrier information, wherein the target water regime description carrier information can represent rich water regime indication marks of the target monitoring water area, so that the water regime information determined based on the target water regime description carrier information has higher accuracy and reliability.

Based on the foregoing embodiments, the embodiments of the present application provide a water service data visualization implementation apparatus, where each unit included in the apparatus and each module included in each unit may be implemented by a processor in a computer device; of course, the method can also be realized by a specific logic circuit; in an implementation, the Processor may be a central processing unit (Central Processing Unit, CPU), a microprocessor (Microprocessor Unit, MPU), a digital signal Processor (DIGITAL SIGNAL Processor, DSP), or a field programmable gate array (Field Programmable GATE ARRAY, FPGA), or the like.

Fig. 3 is a schematic structural diagram of a water service data visualization implementation device according to an embodiment of the present application, and as shown in fig. 2, a water service data visualization implementation device 200 includes:

the feature acquisition module 210 is configured to acquire initial water condition description carrier information of the target monitoring water area, the first involved monitoring water area, and the second involved monitoring water area for water condition information, respectively; a direct involvement exists between the target monitored water area and the first involved monitored water area, and an indirect involvement exists between the target monitored water area and the second involved monitored water area;

A direct involvement module 220, configured to perform a direct involvement operation on the initial water condition description carrier information of the target monitoring water area and the initial water condition description carrier information of the first involved monitoring water area, so as to obtain first involved water condition description carrier information of the target monitoring water area;

An indirect involvement module 230, configured to perform an indirect involvement operation on the initial water condition description carrier information of the target monitoring water area and the initial water condition description carrier information of the second involved monitoring water area, and the initial water condition description carrier information of the first involved monitoring water area, so as to obtain second involved water condition description carrier information of the target monitoring water area;

a carrier generation module 240, configured to generate target water regime description carrier information of the target monitoring water area based on the first and second water regime description carrier information, and determine water regime information of the target monitoring water area based on the target water regime description carrier information;

the information display module 250 is configured to display water condition information of the target monitoring water area on a preset visualization module.

The description of the apparatus embodiments above is similar to that of the method embodiments above, with similar advantageous effects as the method embodiments. In some embodiments, the functions or modules included in the apparatus provided by the embodiments of the present application may be used to perform the methods described in the foregoing method embodiments, and for technical details that are not disclosed in the embodiments of the apparatus of the present application, reference should be made to the description of the embodiments of the method of the present application.

It should be noted that, in the embodiment of the present application, if the above-mentioned water service data visualization implementation method based on big data analysis is implemented in the form of a software function module, and is sold or used as an independent product, the method may also be stored in a computer readable storage medium. Based on such understanding, the technical solution of the embodiments of the present application may be essentially or some of contributing to the related art may be embodied in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a magnetic disk, an optical disk, or other various media capable of storing program codes. Thus, embodiments of the application are not limited to any specific hardware, software, or firmware, or any combination of hardware, software, and firmware.

The embodiment of the application provides a digital platform, which comprises a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and the processor realizes part or all of the steps in the method when executing the program.

Embodiments of the present application provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs some or all of the steps of the above-described method. The computer readable storage medium may be transitory or non-transitory.

Embodiments of the present application provide a computer program comprising computer readable code which, when run in a computer device, causes a processor in the computer device to perform some or all of the steps for carrying out the above method.

Embodiments of the present application provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program which, when read and executed by a computer, performs some or all of the steps of the above-described method. The computer program product may be realized in particular by means of hardware, software or a combination thereof. In some embodiments, the computer program product is embodied as a computer storage medium, and in other embodiments, the computer program product is embodied as a software product, such as a software development kit (Software Development Kit, SDK), or the like.

It should be noted here that: the above description of various embodiments is intended to emphasize the differences between the various embodiments, the same or similar features being referred to each other. The above description of apparatus, storage medium, computer program and computer program product embodiments is similar to that of method embodiments described above, with similar advantageous effects as the method embodiments. For technical details not disclosed in the embodiments of the apparatus, the storage medium, the computer program and the computer program product of the present application, reference should be made to the description of the embodiments of the method of the present application.

Fig. 4 is a schematic diagram of a hardware entity of a digital platform according to an embodiment of the present application, as shown in fig. 4, the hardware entity of the digital platform 1000 includes: a processor 1001 and a memory 1002, wherein the memory 1002 stores a computer program executable on the processor 1001, the processor 1001 implementing the steps in the method of any of the embodiments described above when the program is executed.

The memory 1002 stores computer programs executable on the processor, the memory 1002 being configured to store instructions and applications executable by the processor 1001, and may also cache data (e.g., image data, audio data, voice communication data, and video communication data) to be processed or already processed by the respective modules in the processor 1001 and the digital platform 1000, which may be implemented by a FLASH memory (FLASH) or a random access memory (Random Access Memory, RAM).

The processor 1001 performs the steps of the method for realizing the visualization of water service data based on big data analysis as described in any one of the above. Processor 1001 generally controls the overall operation of digital platform 1000.

An embodiment of the present application provides a computer storage medium storing one or more programs executable by one or more processors to implement the steps of the method for implementing water service data visualization based on big data analysis according to any of the embodiments above.

It should be noted here that: the description of the storage medium and apparatus embodiments above is similar to that of the method embodiments described above, with similar benefits as the method embodiments. For technical details not disclosed in the embodiments of the storage medium and the apparatus of the present application, please refer to the description of the method embodiments of the present application. The Processor may be at least one of an Application SPECIFIC INTEGRATED Circuit (ASIC), a digital signal Processor (DIGITAL SIGNAL Processor, DSP), a digital signal processing device (DIGITAL SIGNAL Processing Device, DSPD), a programmable logic device (Programmable Logic Device, PLD), a field programmable gate array (Field Programmable GATE ARRAY, FPGA), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, and a microprocessor. It will be appreciated that the electronic device implementing the above-mentioned processor function may be other, and embodiments of the present application are not limited in detail.

The computer storage medium/Memory may be a Read Only Memory (ROM), a programmable Read Only Memory (Programmable Read-Only Memory, PROM), an erasable programmable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable programmable Read Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM), a magnetic random access Memory (Ferromagnetic Random Access Memory, FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical disk, or a Read Only optical disk (Compact Disc Read-Only Memory, CD-ROM); but may also be various terminals such as mobile phones, computers, tablet devices, personal digital assistants, etc., that include one or any combination of the above-mentioned memories.

It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present application, the sequence number of each step/process described above does not mean that the execution sequence of each step/process should be determined by its functions and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application. The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read Only Memory (ROM), a magnetic disk or an optical disk, or the like, which can store program codes.

Or the above-described integrated units of the application may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the related art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a removable storage device, a ROM, a magnetic disk, or an optical disk.

The foregoing is merely an embodiment of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application.

Claims (10)

1. The water affair data visualization realization method based on big data analysis is characterized by being applied to a digital platform, and comprises the following steps:

Respectively acquiring initial water regime description carrier information of a target monitoring water area, a first involved monitoring water area and a second involved monitoring water area aiming at water regime information; a direct involvement exists between the target monitored water area and the first involved monitored water area, and an indirect involvement exists between the target monitored water area and the second involved monitored water area;

Directly involving the initial water regime description carrier information of the target monitoring water area and the initial water regime description carrier information of the first involved monitoring water area to obtain the first involved water regime description carrier information of the target monitoring water area;

Indirectly implying the initial water regime description carrier information of the target monitoring water area, the initial water regime description carrier information of the second implying monitoring water area and the initial water regime description carrier information of the first implying monitoring water area to obtain second implying water regime description carrier information of the target monitoring water area;

Generating target water regime description carrier information of the target monitoring water area based on the first and second water regime description carrier information, and determining water regime information of the target monitoring water area based on the target water regime description carrier information;

and displaying the water condition information of the target monitoring water area on a preset visualization module.

2. The method of claim 1, wherein the acquiring initial water condition description carrier information for the water condition information for the target monitoring water area, the first involved monitoring water area, and the second involved monitoring water area, respectively, comprises:

Acquiring a first involved water area topological graph corresponding to a target monitoring water area, wherein the first involved water area topological graph comprises a first topological point for representing initial water condition description carrier information of the target monitoring water area, a second topological point for representing initial water condition description carrier information of candidate involved monitoring water areas, and a connecting edge between the first topological point and the second topological point; the target monitoring waters are associated with the candidate involvement monitoring waters;

Sampling a second topological point in the topological graph of the first involved water area according to the topological point track taking the first topological point as a starting point to obtain a first involved monitoring water area with a direct involved relation with the target monitoring water area and a second involved monitoring water area with an indirect involved relation with the target monitoring water area;

And respectively acquiring initial water condition description carrier information of the target monitoring water area, the first involved monitoring water area and the second involved monitoring water area aiming at the water condition information in the first involved water area topological diagram.

3. The method of claim 2, wherein the initial water condition description carrier information includes water condition characteristic elements corresponding to u water condition indicators; the sampling operation is sequentially performed on a second topological point in the topological graph of the first involved water area according to the topological point track taking the first topological point as a starting point, so as to obtain a first involved monitoring water area with a direct involved relationship with the target monitoring water area, and a second involved monitoring water area with an indirect involved relationship with the target monitoring water area, which comprises the following steps:

sequentially extracting second topological points in the topological graph of the first involved water area according to the topological point track taking the first topological points as starting points to obtain w first candidate involved monitoring water areas with direct involved relation with the target monitored water area and v second candidate involved monitoring water areas with indirect involved relation with the target monitored water area;

Acquiring the number of first monitoring water areas of the w first candidate involved monitoring water areas, wherein the water condition characteristic elements corresponding to the u water condition indication marks of the first candidate involved monitoring water areas are all of a first value;

acquiring the number of second monitoring water areas of the second candidate involved monitoring water areas with the first values of water condition characteristic elements corresponding to the u water condition indication marks in the v second candidate involved monitoring water areas;

If the number of the first monitored water areas is smaller than a first set value, the w first candidate involved monitored water areas are used as first involved monitored water areas which have direct involved relation with the target monitored water area;

And if the number of the second monitored water areas is smaller than a second set value, taking the v second candidate involved monitored water areas as first involved monitored water areas which have direct involved relation with the target monitored water area.

4. The method of claim 1, wherein the number of the first involved monitoring waters is a plurality, the directly involved operation of the initial water condition description carrier information of the target monitoring waters with the initial water condition description carrier information of the first involved monitoring waters, obtaining the first involved water condition description carrier information of the target monitoring waters, comprising:

Calculating the average value of the initial water regime description carrier information of a plurality of first involved monitoring water areas through a direct carrier detection module of a target water regime detection network to obtain first average value water regime description carrier information;

determining first water regime involvement information for a plurality of the first involved monitoring waters based on the first mean water regime description carrier information;

Determining first water condition description carrier information of the target monitoring water area based on the first water condition involvement information and the initial water condition description carrier information of the target monitoring water area;

The indirect involvement operation of the initial water regime description carrier information of the target monitoring water area, the initial water regime description carrier information of the second involved monitoring water area and the initial water regime description carrier information of the first involved monitoring water area is performed to obtain the second involved water regime description carrier information of the target monitoring water area, which comprises the following steps:

the method comprises the steps that through an indirect carrier detection module of a target water regime detection network, average value calculation is carried out on initial water regime description carrier information of a target monitoring water area and initial water regime description carrier information of a second involved monitoring water area, and second average value water regime description carrier information is obtained;

determining second water regime involvement information between the target monitoring water area and the second involved monitoring water area based on the second mean water regime description carrier information;

second involvement water condition description carrier information of the target monitored water area is determined based on the second involvement water condition information and the initial water condition description carrier information of the first involvement monitored water area.

5. The method of claim 1, wherein the number of second involved monitoring waters is a plurality, and the generating the target water condition description carrier information for the target monitoring waters based on the first involved water condition description carrier information and the second involved water condition description carrier information comprises:

The target carrier detection module of the target water regime detection network is used for carrying out average value calculation on second involved water regime description carrier information corresponding to the second involved monitoring water areas respectively to obtain third average value water regime description carrier information;

and fusing the first water condition description carrier information and the third mean water condition description carrier information to obtain target water condition description carrier information of the target monitoring water area.

6. The method according to claim 4 or 5, characterized in that the method further comprises:

respectively acquiring annotation water regime description carrier information of a target example monitoring water area, a first involved example monitoring water area and a second involved example monitoring water area aiming at water regime information; a direct involvement exists between the target example monitoring water area and the first involvement example monitoring water area, and an indirect involvement exists between the target example monitoring water area and the second involvement example monitoring water area;

The annotated water condition description carrier information corresponding to the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area respectively is noisy through a candidate water condition detection network, and the noisy annotated water condition description carrier information corresponding to the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area respectively is obtained;

Carrying out association reasoning on the noisy annotation water condition description carrier information corresponding to the target example monitoring water area, the noisy annotation water condition description carrier information corresponding to the second involved example monitoring water area and the noisy annotation water condition description carrier information corresponding to the first involved example monitoring water area to obtain the reasoning water condition description carrier information of the target example monitoring water area;

And optimizing the candidate water regime detection network based on the annotation water regime description carrier information and the inference water regime description carrier information of the target example monitoring water area to obtain the target water regime detection network.

7. The method of claim 6, wherein the denoising, via the candidate water condition detection network, the annotated water condition description carrier information corresponding to each of the target example monitoring water area, the first involved example monitoring water area, and the second involved example monitoring water area, to obtain the denoised annotated water condition description carrier information corresponding to each of the target example monitoring water area, the first involved example monitoring water area, and the second involved example monitoring water area, comprises:

Modifying water regime characteristic elements in annotation water regime description carrier information of the target example monitoring water area through a candidate water regime detection network to obtain noisy annotation water regime description carrier information corresponding to the target example monitoring water area;

Modifying water regime characteristic elements in annotation water regime description carrier information of the first involved example monitoring water area to obtain noisy annotation water regime description carrier information corresponding to the first involved example monitoring water area;

modifying water regime characteristic elements in annotation water regime description carrier information of the second involved example monitoring water area to obtain noisy annotation water regime description carrier information corresponding to the second involved example monitoring water area;

the method for respectively acquiring the annotation water condition description carrier information of the water condition information of the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area comprises the following steps:

Acquiring a second involved water area topological graph; the second involved water area topological graph comprises topological points for representing annotation water condition description carrier information of the candidate example monitoring water area and connecting edges between topological points corresponding to the involved candidate example monitoring water area, and the annotation water condition description carrier information comprises water condition characteristic elements corresponding to u water condition indication marks;

Sampling the topological points in the second involved water area topological graph in sequence according to the topological point track in the second involved water area topological graph to obtain t target candidate example monitoring water areas respectively corresponding to the u water condition indication marks; a target candidate example monitoring water area corresponding to one water condition indication mark is a candidate example monitoring water area with a water condition characteristic element corresponding to the water condition indication mark as a second value in the second involved water area topological graph;

Determining to obtain a target example monitoring water area, a first involved example monitoring water area and a second involved example monitoring water area based on t target candidate example monitoring water areas and the second involved water area topological graphs respectively corresponding to the u water condition indication marks;

Respectively acquiring annotation water condition description carrier information of the target example monitoring water area, the first involved example monitoring water area and the second involved example monitoring water area aiming at water condition information in the second involved water area topological diagram;

The optimizing the candidate water regime detection network based on the annotation water regime description carrier information and the inference water regime description carrier information of the target example monitoring water area to obtain the target water regime detection network comprises the following steps:

optimizing the candidate water regime detection network based on the annotation water regime description carrier information and the inference water regime description carrier information of the target example monitoring water area to obtain an optimized candidate water regime detection network;

determining to obtain an example monitoring water area evaluation set based on t target candidate example monitoring water areas and the second involved water area topological graph which are respectively corresponding to the u water condition indication marks;

determining training quality of the optimized candidate water condition detection network based on the example monitoring water area evaluation set;

and determining the target water regime detection network based on the training quality and the optimized candidate water regime detection network.

8. The method of claim 7, wherein determining a target example monitoring water area, a first involved example monitoring water area, a second involved example monitoring water area, based on the t target candidate example monitoring water areas and the second involved water area topological map for the u water condition indicators, respectively, comprises:

Determining in the second involved water topology map that there is a direct involved relationship with the target candidate example monitoring water R _m; the target candidate example monitoring water area R _m belongs to t target candidate example monitoring water areas respectively corresponding to the u water condition indication marks, and m is more than or equal to 1;

Determining in the second involved water topology map that there is an indirect involved relationship with the target candidate example monitoring water Rm;

Taking the target candidate example monitoring water area Rm as a target example monitoring water area, extracting x first reference candidate example monitoring water areas from the first reference candidate example monitoring water area, and determining the first reference candidate example monitoring water area as the first reference example monitoring water area;

extracting e second candidate example of involvement monitoring waters from the second candidate of involvement monitoring waters to determine the second candidate of involvement monitoring waters;

The example monitoring water area assessment set includes assessing an example monitoring water area, a third involved example monitoring water area, a fourth involved example monitoring water area; the evaluation example monitoring water area is different from the target example monitoring water area, a direct involvement exists between the evaluation example monitoring water area and the third involvement example monitoring water area, and an indirect involvement exists between the evaluation example monitoring water area and the fourth involvement example monitoring water area; the determining training quality of the optimized candidate water condition detection network based on the example monitoring water area assessment set comprises the following steps:

Through the optimized candidate water condition detection network, the annotation water condition description carrier information of the evaluation example monitoring water area, the third involvement example monitoring water area and the fourth involvement example monitoring water area is noisy, and the annotation water condition description carrier information of the evaluation example monitoring water area, the third involvement example monitoring water area and the fourth involvement example monitoring water area which are respectively corresponding to the noisy is obtained;

Carrying out association reasoning on the noisy annotation water condition description carrier information corresponding to the evaluation example monitoring water area, the noisy annotation water condition description carrier information corresponding to the third involved example monitoring water area and the noisy annotation water condition description carrier information corresponding to the fourth involved example monitoring water area to obtain the reasoning water condition description carrier information of the evaluation example monitoring water area;

Determining the inference detection loss of the optimized candidate water regime detection network based on the inference water regime description carrier information of the evaluation example monitoring water area and the annotation water regime description carrier information of the evaluation example monitoring water area;

and determining the training quality of the optimized candidate water condition detection network based on the inference detection loss.

9. The method of claim 8, wherein the inferred water condition description carrier information of the evaluation example monitoring water area and the annotated water condition description carrier information of the evaluation example monitoring water area both contain water condition characteristic elements corresponding to u water condition indication marks;

The determining the inference detection loss of the optimized candidate water regime detection network based on the inference water regime description carrier information of the evaluation example monitoring water area and the annotation water regime description carrier information of the evaluation example monitoring water area comprises the following steps:

loading a water regime characteristic element corresponding to a y-th water regime indicator in annotation water regime description carrier information of the target confidence coefficient and the evaluation example monitoring water area to a preset loss function to obtain candidate detection loss corresponding to the y-th water regime indicator; the target confidence coefficient is the confidence coefficient of the second value of the water regime characteristic element corresponding to the y-th water regime indication mark in the reasoning water regime description carrier information of the evaluation example monitoring water area; wherein y is less than or equal to u;

performing coordinated operation on the candidate detection loss corresponding to the y-th water regime indicator to obtain the candidate detection loss after coordinated operation corresponding to the y-th water regime indicator;

And adding the coordinated candidate detection losses corresponding to the u water condition indication marks respectively to obtain the inference detection losses of the optimized candidate water condition detection network.

10. A digital platform comprising a memory and a processor, the memory storing a computer program executable on the processor, wherein the processor implements the steps of the method of any one of claims 1 to 9 when the program is executed.