CN117036141B - Data processing method and data interaction system for highway full life cycle - Google Patents
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Abstract
The embodiment of the invention discloses a data processing method and a data interaction system aiming at a highway full life cycle. The method comprises the following steps: acquiring each service scene related to the full life cycle of the highway; analyzing a first data set and a second data set which are needed and can be provided by each business scene; taking the intersection of each first data set and each second data set as a minimum data set; determining the source of each minimum data set, and constructing a data interaction model of the whole life cycle of the highway according to the source of each minimum data set; and responding to the data demand, and extracting data from the starting point and feeding back to the end point according to the data interaction model. The embodiment breaks the information island of the highway data.
Description
Technical Field
The embodiment of the invention relates to the technical field of highway data processing, in particular to a data processing method and a data interaction system aiming at the whole life cycle of a highway.
Background
With the development of public infrastructure, highway engineering forms a complex and long full life cycle process from early construction to later acceptance, terminal maintenance, operation and administrative administration. During the process, a large amount of data is formed at each stage, and information and decision support can be provided for the related field after proper processing.
For example, patent CN115964483a provides a neural network-based highway maintenance big data classification decision method, which processes and classifies the road maintenance data, and provides technical support for a highway maintenance decision system. Patent CN110399364A provides a data fusion method based on various highway detector data, realizes the fusion task of core information and intermodulation data of different sites, and lays a foundation for highway data fusion work.
However, in the above-mentioned patent, the data (maintenance data or detection data) of one aspect in the whole life cycle is processed, and the data fusion and penetration of the whole life cycle of the highway are not realized, so that the problem of "information island" still exists in the highway data.
Disclosure of Invention
The embodiment of the invention provides a data processing method and a data interaction system aiming at the full life cycle of a highway, and breaks the information island of highway data.
In a first aspect, an embodiment of the present invention provides a data processing method for a highway full life cycle, including:
acquiring each service scene related to the full life cycle of the highway;
analyzing a first data set and a second data set which are needed and can be provided by each business scene;
taking the intersection of each first data set and each second data set as a minimum data set;
determining the source of each minimum data set, and constructing a data interaction model of the whole life cycle of the highway according to the source of each minimum data set; specifically, at least one service scene capable of providing each minimum data set is taken as a starting point of each minimum data set, at least one service scene requiring each minimum data set is taken as an end point of each minimum data set, a plurality of minimum data sets with the same starting point and end point are combined, and a data interaction model of the whole life cycle of the highway is formed by the final minimum data set and the starting point and the end point thereof;
and responding to the data demand, and extracting data from the starting point and feeding back to the end point according to the data interaction model.
In a second aspect, an embodiment of the present invention provides a data interaction system for a highway full life cycle, including: each service system and data processing system related to the life cycle of the highway; wherein,
the data processing system is used for acquiring each service scene related to the full life cycle of the highway; analyzing a first data set and a second data set which are needed and can be provided by each business scene; taking the intersection of each first data set and each second data set as a minimum data set; determining the source of each minimum data set, and constructing a data interaction model of the whole life cycle of the highway according to the source of each minimum data set; specifically, at least one service scene for providing each minimum data set is taken as the starting point of each minimum data set; taking at least one business scene which needs each minimum data set as the end point of each minimum data set; merging a plurality of minimum data sets with the same starting point and end point, and forming a data interaction model of the whole life cycle of the highway by the final minimum data set and the starting point and the end point thereof;
each service system is used for providing data in each minimum data set and issuing data requirements;
the data processing system is further configured to extract data from the start point to the end point feedback according to the data interaction model in response to the data demand.
The embodiment of the invention provides a data processing method aiming at a highway full life cycle, which selects service scenes as basic dimensions of data processing according to the application characteristics of a highway service system and analyzes available data and demand data of each service scene; and then taking the minimum data set capable of providing data and demand data as a basic unit for tracing the data sources, sequentially determining the starting point and the end point of the minimum data set, and forming a highway full life cycle data interaction model together for realizing data sharing exchange among service systems. Particularly, the embodiment of the invention accurately extracts the optimal unit of data interaction from a large number of data resources by utilizing the dual dimensionalities of the service scene and the minimum data set, and reduces the volume of the data interaction model as much as possible while meeting the interaction requirement, thereby improving the data interaction efficiency. After the model is built, when the data requirement exists in the business scene, the data interaction can be rapidly completed according to the starting point and the end point in the model, and the information island situation is broken.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for processing data for a highway full life cycle according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a highway full life cycle data interaction model according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a data interaction system for a highway full life cycle according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the invention, are within the scope of the invention.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should also be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Fig. 1 is a flowchart of a data processing method for a highway full life cycle according to an embodiment of the present invention. The method is suitable for storing highway data in a plurality of independent service systems and is executed by the electronic equipment. As shown in fig. 1, the method specifically includes the following steps:
s110, acquiring each service scene related to the highway full life cycle.
The embodiment combines the application characteristics of highway data, selects the service scene as the dimension of data processing, and provides basis for orderly processing of a large amount of data.
In a specific embodiment, first-level service scenes related to the full life cycle of the highway can be acquired first, and then any first-level service scene is subdivided into a plurality of second-level service scenes according to actual needs. The primary service scene may be a service scene major class divided according to basic stages of a full life cycle, including: highway construction scenes, administrative scenes, highway maintenance scenes and highway operation scenes. In practical application, the primary service scene can be pertinently refined to obtain the secondary service scene of a smaller class. By way of example, road construction scenarios may be subdivided into survey and investigation, engineering design, engineering construction, project management, etc. secondary business scenarios; the road government management scene is subdivided into two-level business scenes such as large-scale transportation management, illegal overrun transportation management, road production road right management and the like.
Optionally, each corresponding service scenario may be determined according to each service system involved in the life cycle of the highway. For example, in the life cycle of the highway, a highway construction system, a road political management system, a highway maintenance system and a kilometer road operation system are involved, and the service content corresponding to each system is used as the service scene type to be processed.
S120, analyzing a first data set and a second data set which are needed and can be provided by each business scene.
In this embodiment, the service scenario is taken as a processing dimension, and the data available and the required data of each data source are respectively extracted to form a total set of data resources. For ease of distinction and description, the data sets that can be provided by each business scenario are referred to as first data sets, and the data sets that are required by each business scenario are referred to as second data sets.
Optionally, the main functions of each service scene are determined first, then the process data for realizing each main function is extracted, and the first data set and the required second data set which can be provided by each service scene are crawled from the process data. In the above embodiment of determining service scenarios according to service systems, the main function module of each service system may be invoked, the input and output files of each function module may be extracted, and the first data set and the second data set of each service scenario may be crawled from each input and output file.
By taking two-level business scene large-piece transportation management as an example, the main functional modules of a large-piece transportation management system, namely 'large-piece transportation permission application and approval', 'infrastructure structure security check', 'field check', 'en-route check', and 'expressway traffic detection', are called, input files and output files of all the functional modules are extracted, weighing detection information, maintenance construction blocking information, ETC portal information and the like are crawled out of the output files to jointly form a first data set of the large-piece transportation management scene, and carrier information, large-piece transportation permission application form information, supervision station basic information and the like are crawled out of the input files to jointly form a second data set of the large-piece transportation management scene.
Table 1 exemplarily shows a first data set and a second data set required for three business scenarios of bulk transportation management, illegal overrun transportation management, road production right management.
Table 1 (only part of the contents in the dataset is shown)
S130, taking the intersection of each first data set and each second data set as a minimum data set.
The embodiment can provide data and demand data for each business scene to obtain intersection sets as basic units for subsequent tracing data sources. Analyzing the data sources in units larger than the minimum data set, wherein the risk of unclear analysis and incapability of tracing exists; analyzing the data sources in units smaller than the minimum data set may result in over analysis and redundant processing.
Optionally, firstly, performing semantic disambiguation on the data in each first data set and each second data set, and then, for each two service scenes, taking an intersection of the first data set after disambiguation of one service scene and the second data set after disambiguation of the other service scene to obtain the minimum data set of the current two service scenes. The semantic disambiguation can unify data with the same content but different names into the same data name. The minimum data set obtained by the intersection mode can be expressed as:
wherein,for business scenario->Second data set (after disambiguation,)>For business scenario->A first data set (after disambiguation).
And S140, determining the source of each minimum data set, and constructing a data interaction model of the whole life cycle of the highway according to the source of each minimum data set.
In this embodiment, each minimum data set is taken as a basic unit, the interaction start point and the interaction end point of each minimum data set are respectively determined, and the data items, the start point and the end point of the minimum data set together form a data interaction model of the whole life cycle of the highway.
Optionally, for any minimum data set, the service scenario providing the minimum data set is taken as a starting point, and the service scenario requiring the minimum data set is taken as an end point. Illustratively, table 2 shows the data interaction model with the minimum data set as a base unit in tabular form.
Table 2 (only a partial minimum data set in the data interaction model is shown)
Furthermore, based on the data interaction model, a plurality of minimum data sets with the same starting point service scene and end point service scene can be combined to obtain a final data interaction model. Specifically, when merging multiple minimum data sets, in addition to merging data items included in each minimum data set, data descriptions corresponding to each data item may be merged to form a description of a new data unit.
In another specific embodiment, when analyzing the data and the required data available from each service scenario through S120, the third party mechanisms with information interaction in the whole life cycle of the highway may also be included in the analysis range, and simultaneously analyze the first data set and the required second data set available from each third party mechanism; accordingly, in S130, the third party mechanism is also used as a start point and/or an end point of the minimum data set to form the data interaction model. Illustratively, the third party organization includes a weather department, a road transportation business department, a map vendor, and the like. Fig. 2 shows a data interaction model comprising third party mechanisms in the form of data streams, wherein oval icons represent traffic scenarios involved in the full life cycle of a highway, box icons represent third party mechanisms involved in the full life cycle of a highway, text on arrowed lines represent the smallest data set (i.e. data items) of the data interaction model, and arrowed directions represent the start and end points of the respective data items.
And S150, responding to the data demand, and extracting data from the starting point and feeding back to the end point according to the data interaction model.
After the data interaction model is built, a service system or a third party organization corresponding to each service scene can put forward data requirements on the electronic equipment operated by the data interaction model. In response to the data demand, the electronic device may perform operations of:
on the one hand, identifying whether the required data belongs to the data interaction model; and if the data does not belong to the data interaction model, determining a service scene which can provide the data according to the minimum data set, and extracting and feeding back the data after the service scene is accessed into the data interaction model.
On the other hand, identifying whether the demand body belongs to an end point in the data interaction model; and if the data does not belong to the data interaction model, feeding back the data to the demand main body after the demand main body is accessed into the data interaction model according to the main body authority.
It should be noted that the above two aspects may be performed in one aspect or in both aspects. In practical applications, the present embodiment may be specifically set as required, and the present embodiment is not limited.
In one embodiment, the system is responsive to a business systemiThe electronic device first looks up the data comprising the requirement data in the data interaction modelA minimum data set of items.
If the minimum data set comprising the requirement data items is found, the requirement data belongs to the data interaction model, and the requirement main body is continuously identifiediWhether the corresponding traffic scenario belongs to the end-point traffic scenario of the minimum data set. If it belongs to, indicating service systemiThe existing data extraction authority directly extracts data from the starting point service system of the minimum data set and feeds the data back to the service systemiAnd forms an extraction log. If not, indicate the service systemiIf no data extraction authority exists, generating a required data application and an extraction authority application, and after the application passes, setting a service system in a data interaction modeliThe end point service system added as the required data is completediAccessing a data interaction model; then according to the new data interaction model, extracting the required data from the starting point service system and feeding back to the service systemiAnd (3) obtaining the product. In particular, if the starting point of the demand data includes multiple sources, such as multiple business scenarios, or multiple third party institutions, or both, the confidence level or data confidence level of each source checks the extracted data and feeds back the checked data to the demand body. Illustratively, if one of the sources is a national public service organization (third party organization) with a confidence level generally higher than that of the private business system, the data provided by that organization is fed back to the demand agent as collated data; if two sources are business systems and the data time stamps provided by the two sources are different, the data with the more recent time stamps are used as the data after the correction and fed back to the demand body.
If no minimum data set including the required data item is found, indicating that the required data does not belong to the data interaction model, the operation analysis business system of S120 is adoptediIs a first data set and a second data set; service system adopting S130 operationiAcquiring an intersection of a first data set and a second data set of an existing service scene in a data model to obtain a service systemiEach corresponding minimum data set; the operation of S140 is employed to determine the source of each minimum data set and to update the data interaction model,extracting data from the starting point service system by using the updated model and transmitting the data to the service systemiAnd (5) feeding back. In particular, if the service systemiThe corresponding minimum data sets are all empty (i.e) Or each minimum data set does not comprise the required data item, the data item cannot be obtained from the existing service scene in the data model; at this point the data is fed back to the business system by direct mining and the data item is added to the first data set of the system +.>The operations of S130 and S140 are repeated again to supplement the data interaction model. Service system in supplemented data interaction modeliAs a starting point for the data, other business systems can be used by the business system through a data interaction modeliExtracting the data.
The embodiment provides a data processing method aiming at the full life cycle of a highway, and a service scene is selected as the basic dimension of data processing according to the application characteristics of a highway service system; extracting related files under each functional module item by item through the main functions of each service scene to obtain available data and demand data of each service scene; and then taking the minimum data set capable of providing data and demand data as a basic unit for tracing the data source, sequentially determining the starting point and the end point of the minimum data set, and forming a data interaction model of the whole life cycle of the highway together, thereby realizing data sharing exchange among service systems. In particular, the embodiment utilizes the dual dimensionalities of the service scene and the minimum data set to accurately extract the optimal unit of data interaction from a large number of data resources, and reduces the volume of the data interaction model as much as possible while meeting the interaction requirement, thereby improving the data interaction efficiency. After the model is built, when the data requirement exists in the business scene, the data can be rapidly extracted according to the starting point and the end point in the model, and the information island situation is broken; and during the process, whether the demand data and the demand main body belong to the model is subjected to double identification, so that the reliability and the expandability of the model are effectively ensured.
Fig. 3 is a schematic structural diagram of a data interaction system for a highway full life cycle according to an embodiment of the present invention. As shown in fig. 3, the data processing system includes: the traffic systems and the data processing systems involved in the life cycle of the highway.
The data processing system is used for acquiring each service scene related to the full life cycle of the highway; analyzing a first data set and a second data set which are needed and can be provided by each business scene; taking the intersection of each first data set and each second data set as a minimum data set; determining the source of each minimum data set, and constructing a data interaction model of the whole life cycle of the highway according to the source of each minimum data set;
each service system is used for providing data in each minimum data set and sending data demands to the electronic equipment. When the business data is updated, each business system is also used for updating the data of each minimum data set in the data interaction model.
In a specific embodiment, the data processing system further comprises a main data extraction module, a data authority management module and a data quality management module. The main data extraction module is used for extracting data items from the starting point service system and marking sources according to the data interaction model, and the marked content comprises a certain system, uploading personnel information and the like. The extracted data is updated and stored in a corresponding topic library of the data interaction model after being subjected to data quality inspection such as uniqueness, integrity, accuracy and consistency verification by a data quality management module, and the updated data is opened to a specific service system by a permission management module.
Each business system is also used for sending out data demands; the data processing system is further configured to extract data from the start point to the end point feedback according to the data interaction model in response to the data demand.
It should be noted that, the data processing system in the present embodiment and the data processing method in the above embodiment are based on the same inventive concept, and any limitation in the above embodiment is applicable to the present embodiment and has the same technical effects.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method of data processing for a full life cycle of a highway, comprising:
acquiring each service scene related to the full life cycle of the highway;
analyzing a first data set and a second data set which are needed and can be provided by each business scene;
taking the intersection of each first data set and each second data set as a minimum data set;
determining the source of each minimum data set, and constructing a data interaction model of the whole life cycle of the highway according to the source of each minimum data set; specifically, at least one service scene capable of providing each minimum data set is taken as a starting point of each minimum data set, at least one service scene requiring each minimum data set is taken as an end point of each minimum data set, a plurality of minimum data sets with the same starting point and end point are combined, and a data interaction model of the whole life cycle of the highway is formed by the final minimum data set and the starting point and the end point thereof;
and responding to the data demand, and extracting data from the starting point and feeding back to the end point according to the data interaction model.
2. The method of claim 1, wherein the acquiring each traffic scenario involved in the full life cycle of the highway comprises:
obtaining each primary service scene related to the full life cycle of the highway, wherein each primary service scene comprises: road construction scenes, road politics management scenes, road maintenance scenes and road operation scenes;
any one-level business scene is divided into a plurality of two-level business scenes, and particularly, the road government management scene is divided into a large transportation management scene, an illegal overrun transportation management scene and a road production road right management scene.
3. The method of claim 1, wherein analyzing the first data set and the second data set required for each business scenario comprises:
determining main functions of each service scene;
process data for realizing each main function is extracted, and a first data set and a second data set which are needed and can be provided by each business scene are crawled from the process data.
4. A method according to claim 3, wherein said obtaining traffic scenarios related to the full life cycle of the highway comprises: determining corresponding business scenes according to the business systems of the highway life cycle;
the process data for realizing the main functions is extracted, and the process data comprises the following steps: and calling each functional module of each service system, and extracting the input and output files of each functional module.
5. The method of claim 1, wherein taking the intersection of each first data set and each second data set as the smallest data set comprises:
performing semantic disambiguation on the data items in each of the first data set and the second data set;
intersection is taken between each first data set and each second data set after the parsing as the minimum data set.
6. The method of claim 1, wherein extracting business data from a start point to an end point according to the data interaction model in response to a data demand comprises:
responding to the data requirement, and identifying whether the required data belongs to the data interaction model;
and if the data does not belong to the data interaction model, determining a service scene which can provide the required data according to the minimum data set, and extracting and feeding back the data after the service scene is accessed into the data interaction model.
7. The method of claim 1, wherein extracting business data from a start point to an end point according to the data interaction model in response to a data demand comprises:
responding to the data demand, and identifying whether a demand body belongs to an end point in the data interaction model;
and if the data does not belong to the data interaction model, feeding back the data to the demand main body after the demand main body is accessed into the data interaction model according to the main body authority.
8. The method of claim 1, wherein extracting business data from a start point to an end point according to the data interaction model in response to a data demand comprises:
if the starting point of the demand data comprises a plurality of business scenes, the extracted data is checked according to the confidence degree of each business scene or the data confidence degree, and the checked data is fed back to the demand main body.
9. The method of claim 1, wherein analyzing the first data set and the second data set required for each business scenario comprises: analyzing the first data set and the second data set which are needed and provided by each business scene and each third party organization;
taking at least one service scene which can provide each minimum data set as the starting point of each minimum data set, taking at least one service scene which needs each minimum data set as the end point of each minimum data set, comprising: at least one business scenario and third party entity that can provide each minimum data set will be the start point of each minimum data set and at least one business scenario and third party entity that will require each minimum data set will be the end point of each minimum data set.
10. A data interaction system for a highway full life cycle, comprising: each service system and data processing system related to the life cycle of the highway; wherein,
the data processing system is used for acquiring each service scene related to the full life cycle of the highway; analyzing a first data set and a second data set which are needed and can be provided by each business scene; taking the intersection of each first data set and each second data set as a minimum data set; determining the source of each minimum data set, and constructing a data interaction model of the whole life cycle of the highway according to the source of each minimum data set; specifically, at least one service scene for providing each minimum data set is taken as the starting point of each minimum data set; taking at least one business scene which needs each minimum data set as the end point of each minimum data set; merging a plurality of minimum data sets with the same starting point and end point, and forming a data interaction model of the whole life cycle of the highway by the final minimum data set and the starting point and the end point thereof;
each service system is used for providing data in each minimum data set and issuing data requirements;
the data processing system is further configured to extract data from the start point to the end point feedback according to the data interaction model in response to the data demand.
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