CN117541129A - Soil quality assessment method and system - Google Patents
Soil quality assessment method and system Download PDFInfo
- Publication number
- CN117541129A CN117541129A CN202410036567.8A CN202410036567A CN117541129A CN 117541129 A CN117541129 A CN 117541129A CN 202410036567 A CN202410036567 A CN 202410036567A CN 117541129 A CN117541129 A CN 117541129A
- Authority
- CN
- China
- Prior art keywords
- soil
- information
- thread
- description information
- association
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 239000002689 soil Substances 0.000 title claims abstract description 613
- 238000001303 quality assessment method Methods 0.000 title abstract description 4
- 238000011156 evaluation Methods 0.000 claims abstract description 222
- 238000000605 extraction Methods 0.000 claims abstract description 137
- 238000000034 method Methods 0.000 claims abstract description 49
- 238000006243 chemical reaction Methods 0.000 claims description 83
- 239000012634 fragment Substances 0.000 claims description 29
- 238000012545 processing Methods 0.000 claims description 18
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 238000011158 quantitative evaluation Methods 0.000 description 6
- 230000009466 transformation Effects 0.000 description 6
- 238000013441 quality evaluation Methods 0.000 description 4
- 238000003491 array Methods 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 2
- 238000009795 derivation Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000001212 derivatisation Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 238000012854 evaluation process Methods 0.000 description 1
- 229910001385 heavy metal Inorganic materials 0.000 description 1
- 230000015784 hyperosmotic salinity response Effects 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000007670 refining Methods 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
According to the soil quality assessment method and system, the target knowledge segment extraction thread is determined through the configuration of the plurality of preconfiguration indication threads, the configuration process of the plurality of preconfiguration indication threads is a plurality of configuration constraints on the target knowledge segment extraction thread, so that knowledge segment extraction capacity of the target knowledge segment extraction thread can be improved, and attribute assessment capacity of the information attribute assessment thread is further improved. Therefore, the information attribute evaluation is carried out based on the information attribute evaluation thread, the information attribute evaluation efficiency and the attribute evaluation accuracy can be improved, the soil can be evaluated more accurately, the soil can be reliably restored on the premise of the accurate evaluation of the soil, and the ecological balance can be restored as soon as possible.
Description
Technical Field
The application relates to the technical field of quality evaluation, in particular to a soil quality evaluation method and system.
Background
With the continuous development of society, people pay more and more attention to ecological environment, and in particular attention to the protection of soil, the soil is a basic element for restoring ecology, the ecological balance of the soil needs to be restored, and the composition information of the soil and the structural information of the soil are required to be obtained, so that the ecology of the soil can be restored more effectively by adopting corresponding treatment means according to the information, but the technical problem that how to quickly acquire the composition information of the soil and the structural information of the soil in the prior art is currently difficult to overcome.
Disclosure of Invention
In order to improve the technical problems in the related art, the application provides a soil quality evaluation method and system.
In a first aspect, there is provided a method of evaluating soil quality, the method comprising: obtaining target soil information of a target object; the target soil information is soil space structure information and soil theme information of the target object, or the target soil information is soil space structure information of the target object; performing attribute evaluation on the target soil information based on an information attribute evaluation thread to obtain a first attribute evaluation result of the target object; the information attribute evaluation thread is obtained by configuring an attribute evaluation thread to be configured based on a target soil description information example corresponding to target soil data; the attribute evaluation thread to be configured is obtained based on the target knowledge segment extraction thread and the appointed attribute evaluation unit; the target knowledge segment extraction thread is obtained by respectively carrying out thread configuration on a plurality of preconfiguration indication threads based on the appointed soil description information example, and the target knowledge segment extraction thread is a sharing thread of the preconfiguration indication threads.
In the application, the specific soil description information example comprises a plurality of specific soil description information association items, and the soil space structure information and the soil topic information in each specific soil description information association item are associated; the method further comprises the steps of: respectively extracting the soil subject information in the plurality of specified soil description information association items to obtain soil real-time information respectively corresponding to the plurality of specified soil description information association items; determining similar soil description information association items of each specified soil description information association item based on the soil real-time information corresponding to each specified soil description information association item and the soil real-time information corresponding to the remaining specified soil description information association items; the remaining specified soil description information associated items are specified soil description information associated items except for the specified soil description information associated items in the specified soil description information associated items; combining the soil space structure information in each appointed soil description information association with the soil subject information in the similar soil description information association to generate a first new association; and combining the soil space structure information in the similar soil description information association with the soil subject information in each appointed soil description information association to generate a second newly added association.
It can be appreciated that the second newly added association can be obtained more accurately by extracting important information in the soil subject information.
In the application, the plurality of preconfigured instruction threads comprise a first instruction thread, and the first instruction thread comprises an original knowledge fragment extraction thread and a comparison output unit; the method further comprises the steps of: the original knowledge segment extraction thread is combined to extract knowledge segments from the specified soil description information examples and the comparison soil description information examples corresponding to the specified soil description information examples respectively, so that corresponding first output knowledge segments and second output knowledge segments are obtained; the comparison soil description information example is obtained based on information conversion of soil space structure information and/or soil subject information in the appointed soil description information example; the comparison output unit is combined to perform comparison processing on the first output knowledge segment and the second output knowledge segment to obtain comparison output information; debugging the thread coefficient of the first indicating thread by combining the comparison output information and the appointed association information of the appointed soil description information example and the comparison soil description information example to obtain a configured first indicating thread; and determining the target knowledge segment extraction thread by combining the configured first indication thread.
It can be understood that the knowledge segments in the soil description information comparison example are extracted to accurately debug the thread, so that the reliability of the target knowledge segment extraction thread can be improved.
In the application, the plurality of preconfigured indication threads comprise a second indication thread, the specified soil description information example comprises a plurality of specified soil description information association items, and soil space structure information and soil topic information in each specified soil description information association item are associated; the method further comprises the steps of: obtaining conversion soil description information associated items corresponding to the specified soil description information associated items respectively; the soil description information conversion associated items are obtained based on information conversion of soil subject information in the plurality of specified soil description information associated items; carrying out association item evaluation by combining the plurality of specified soil description information association items and conversion soil description information association items corresponding to the plurality of specified soil description information association items respectively to obtain a first conversion item and a second conversion item; the first conversion item comprises a conversion item of which the soil space structure information is related to the soil theme information and a conversion item of which the soil space structure information is not related to the soil theme information; the second conversion item is a conversion item of which the soil space structure information is not related to the soil subject information; performing thread configuration on the second instruction thread by combining the first conversion item to obtain a configured second instruction thread; performing association evaluation on the second conversion item by combining the configured second instruction thread to obtain association evaluation information; determining the second conversion item as an example of no relation of the target when the relation evaluation information indicates that the soil space structure information in the second conversion item is associated with the soil subject information; performing thread configuration on the configured second instruction thread by combining the example that the target has no relation, so as to obtain an optimized second instruction thread; and combining the optimized second indicating thread, and determining the target knowledge segment extraction thread.
It can be appreciated that by performing the association term evaluation on the association term, the performance of the target knowledge segment extraction thread can be improved.
In the application, the second instruction thread comprises an original knowledge fragment extraction thread and an associated output unit; the thread configuration of the second instruction thread is carried out by combining the first conversion item, and the obtaining of the configured second instruction thread comprises the following steps: carrying out knowledge segment extraction on the first conversion item by combining the original knowledge segment extraction thread to obtain a third output knowledge segment; carrying out association processing on the third output knowledge segments by combining the association output unit to obtain association output information; and debugging the thread coefficient of the second instruction thread by combining the associated output information and the appointed associated information of the soil space structure information and the soil theme information in the first conversion item to obtain the configured second instruction thread.
It can be appreciated that when the thread configuration is performed on the second instruction thread in combination with the first conversion item, the problem that the third output knowledge piece is unreliable is solved, so that the configured second instruction thread can be reliably obtained.
In the application, the plurality of preconfigured instruction threads comprise a third instruction thread, and the third instruction thread comprises an original knowledge fragment extraction thread and an attribute evaluation output unit; the specific soil description information example comprises a plurality of specific soil description information association items, and soil space structure information and soil topic information in each specific soil description information association item are associated; the method further comprises the steps of: carrying out knowledge segment extraction on potential information items corresponding to the plurality of specified soil description information association items by combining the original knowledge segment extraction thread to obtain a fourth output knowledge segment; the potential information items are obtained based on analysis processing of soil topic information in the plurality of specified soil description information association items; performing attribute evaluation processing on the fourth output knowledge segment by combining the attribute evaluation output unit to obtain attribute evaluation output information; debugging the thread coefficient of the third instruction thread by combining the attribute evaluation output information and the target attribute evaluation identifiers of the plurality of specified soil description information association to obtain a configured third instruction thread; and determining the target knowledge segment extraction thread in combination with the configured third indication thread.
It will be appreciated that by accurately performing the attribute evaluation process, the performance of the target knowledge segment extraction thread can be improved.
In the application, the target soil description information example comprises a plurality of target attribute evaluation identifications; the method further comprises the steps of: obtaining an optimized soil description information example; the optimized soil description information example comprises the plurality of target attribute evaluation identifiers; and carrying out thread configuration on the information attribute evaluation thread by combining the optimized soil description information example to obtain an optimized information attribute evaluation thread.
It can be appreciated that the performance of the optimized information attribute evaluation thread is improved by precisely obtaining the optimized soil description information example.
In this application, the attribute evaluation of the target soil information based on the information attribute evaluation thread, to obtain a first attribute evaluation result of the target object, includes: acquiring soil position area information, wherein the soil position area information comprises historical soil information and burst soil information, and the burst soil information covers the change of a soil structure caused by geological disasters; inputting the historical soil information and the burst soil information into the information attribute evaluation thread, and performing coefficient debugging on the information attribute evaluation thread to obtain a debugged information attribute evaluation thread; and carrying out attribute evaluation on the target soil information through the debugged information attribute evaluation thread to obtain a first attribute evaluation result of the target object.
It can be appreciated that the accuracy and reliability of information attribute evaluation thread evaluation can be improved by coefficient debugging because of the differences in soil in different areas.
In a second aspect, there is provided an assessment system for soil quality comprising a processor and a memory in communication with each other, the processor being adapted to read a computer program from the memory and execute it to implement the method as described above.
According to the soil quality assessment method and system provided by the embodiment of the application, a plurality of preconfigured indication threads are respectively configured on the basis of the appointed soil description information example in advance, and target knowledge segment extraction threads shared by the preconfigured indication threads are obtained; then, determining an attribute evaluation thread to be configured based on the target knowledge segment extraction layer and the evaluation attribute evaluation unit; and configuring the attribute evaluation thread to be configured based on the target soil description information example corresponding to the target soil data to obtain the information attribute evaluation thread corresponding to the target soil data. In the invention, the target knowledge segment extraction thread is generated through pre-configuration, and then the target knowledge segment extraction thread is finely tuned based on the target soil data corresponding to the target soil description information example, so that the information attribute evaluation thread which can be used in a target soil data scene is obtained, and the configuration efficiency of the information attribute evaluation thread is improved; further, thread configuration is carried out based on a specified soil description information example, so that the information attribute evaluation thread obtained through configuration has the capability of carrying out attribute evaluation based on the soil description information, and the soil description information can be described from multiple aspects, so that the soil description information has better knowledge segment representation capability, and the accuracy of attribute evaluation is further improved; in addition, the target knowledge segment extraction thread is determined through the configuration of the plurality of preconfiguration indication threads, and the configuration process of the plurality of preconfiguration indication threads is a plurality of configuration constraints on the target knowledge segment extraction thread, so that the knowledge segment extraction capability of the target knowledge segment extraction thread can be improved, and the attribute evaluation capability of the information attribute evaluation thread is further improved. Therefore, the information attribute evaluation is carried out based on the information attribute evaluation thread, the information attribute evaluation efficiency and the attribute evaluation accuracy can be improved, the soil can be evaluated more accurately, the soil can be reliably restored on the premise of the accurate evaluation of the soil, and the ecological balance can be restored as soon as possible.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a soil quality evaluation method according to an embodiment of the present application.
Detailed Description
In order to better understand the technical solutions described above, the following detailed description of the technical solutions of the present application is provided through the accompanying drawings and specific embodiments, and it should be understood that the specific features of the embodiments and embodiments of the present application are detailed descriptions of the technical solutions of the present application, and not limit the technical solutions of the present application, and the technical features of the embodiments and embodiments of the present application may be combined with each other without conflict.
Referring to fig. 1, a method for evaluating soil quality is shown, which may include the following steps 210 and 220.
210. Obtaining target soil information of a target object; the target soil information is soil space structure information and soil subject information of the target object, or the target soil information is soil space structure information of the target object.
The target soil information can collect soil in a region to be detected and transport the soil to a test center for analysis to obtain data. The soil collects a whole soil as much as possible in the collection process, so that in-situ soil can be guaranteed as much as possible, the structure of the soil is guaranteed to be as unchanged as possible, the soil is protected from collision as much as possible in the transportation process, and the structure of the soil is guaranteed to be unchanged as much as possible.
The target object information refers to position information which is appointed to be subjected to soil assessment, and soil subject information can be understood to be composition information of soil and space structure information of the soil, wherein the soil composition information comprises heavy metal content in the soil and pollutant content in the soil, for example, the soil is high in salt content, and salt tolerance plants are needed to be planted to improve surrounding environment; the spatial structure information of the soil may include stability of the soil, etc., for example, the soil structure of the area is unstable, landslide or debris flow is liable to occur, and some plants having developed roots need to be planted to maintain the stability of the soil.
220. Performing attribute evaluation on the target soil information based on an information attribute evaluation thread to obtain a first attribute evaluation result of the target object; the information attribute evaluation thread is obtained by configuring an attribute evaluation thread to be configured based on a target soil description information example corresponding to target soil data; the attribute evaluation thread to be configured is obtained based on the target knowledge segment extraction thread and the appointed attribute evaluation unit; the target knowledge segment extraction thread is obtained by respectively carrying out thread configuration on a plurality of preconfiguration indication threads based on the appointed soil description information example, and the target knowledge segment extraction thread is a sharing thread of the preconfiguration indication threads.
The knowledge segments can be understood as features, and specific features comprise key information in the composition information of soil and the spatial structure information of soil.
Further, the information attribute evaluation thread can be understood as an artificial intelligence evaluation thread, and in the present application, the evaluation is performed with respect to the quality and stability of soil.
By way of example, the specified attribute evaluation unit may be understood as a soil attribute evaluation network configured by historical data, and the soil score of the region to be detected may be determined by the historical data, so that the problem of the soil may be primarily determined.
Further, performing attribute evaluation on the target soil information based on an information attribute evaluation thread to obtain a first attribute evaluation result of the target object, including: acquiring soil position area information, wherein the soil position area information comprises historical soil information and burst soil information, and the burst soil information covers the change of a soil structure caused by geological disasters; inputting the historical soil information and the burst soil information into the information attribute evaluation thread, and performing coefficient debugging on the information attribute evaluation thread to obtain a debugged information attribute evaluation thread; and carrying out attribute evaluation on the target soil information through the debugged information attribute evaluation thread to obtain a first attribute evaluation result of the target object.
The information attribute evaluation thread has the capability of autonomous learning, belongs to one of artificial intelligence threads, and can be changed according to real-time conditions, so that the evaluation accuracy of the information attribute evaluation thread is improved.
The information attribute evaluation thread in this embodiment may be configured based on thread pre-configuration, and the configuration method for the information attribute evaluation thread may include what is described in the following steps.
S2202, obtaining a target knowledge segment extraction thread; the target knowledge segment extraction thread is obtained by respectively carrying out thread configuration on a plurality of preconfiguration indication threads based on the appointed soil description information example, and the target knowledge segment extraction thread is a sharing thread of the preconfiguration indication threads.
The target knowledge segment extraction thread in the embodiment of the invention can be a thread which is used for extracting knowledge segments from soil description information after being configured. Further, the target knowledge segment extraction thread may include a regional knowledge segment extraction unit, a soil topic knowledge segment extraction unit, and a knowledge segment splicing unit, when the knowledge segment extraction is performed by the target knowledge segment extraction thread, the soil space structure information in the soil description information to be extracted is input to the regional knowledge segment extraction unit to obtain regional knowledge segment information, the soil topic information in the soil description information to be extracted is input to the soil topic knowledge segment extraction unit to obtain soil topic knowledge segment information, and the regional knowledge segment information and the soil topic knowledge segment information are input to the knowledge segment splicing unit to obtain an output knowledge segment corresponding to the soil description information to be extracted. Specifically, the convolution thread can be adopted for the regional knowledge segment extraction unit, the soil topic knowledge segment extraction unit and the knowledge segment splicing unit.
Examples of the specified soil description information may include specified soil space structure information and specified soil topic information associated with the specified soil space structure information, which may be determined based on element information included in the specified soil space structure information, or may be soil topic information associated with the specified soil space structure information, such as title information corresponding to the soil space structure information, or identification information corresponding to the soil space structure information, or the like.
The method comprises the steps that a plurality of preconfiguration indication threads are configured based on a specified soil description information example, and can correspond to inconsistent preprocessing modules and post-processing modules based on inconsistent preconfiguration indication, wherein the plurality of preconfiguration indication threads comprise consistent knowledge segment extraction threads, the plurality of preconfiguration indication threads share thread coefficients of the knowledge segment extraction threads, and the configuration process of the plurality of preconfiguration indication threads is a plurality of configuration constraints on target knowledge segment extraction threads. The configuration process of the plurality of pre-configuration instruction threads can be synchronous, and in the synchronous configuration process, the thread coefficients of the continuously optimized knowledge segment extraction threads are shared in the plurality of pre-configuration instructions.
S2204, combining the target knowledge segment extraction thread and the appointed attribute evaluation unit, and determining an attribute evaluation thread to be configured.
On the premise that the target knowledge segment extraction threads are configured and obtained based on the preset indication threads, in order to be applied to the attribute evaluation scene, a specified attribute evaluation unit can be connected after the target knowledge segment extraction threads, so that the corresponding attribute evaluation threads to be configured can be obtained.
S2206, configuring the attribute evaluation thread to be configured based on a target soil description information example corresponding to target soil data to obtain an information attribute evaluation thread corresponding to the target soil data.
The target knowledge segment extraction thread may be determined after a plurality of preconfiguration instruction threads are configured based on a large-scale soil description information example, so that the target knowledge segment extraction thread is a generalized knowledge segment extraction thread, and in order to enable the target knowledge segment extraction thread to be applicable to a target soil data scene, a to-be-configured attribute evaluation thread covering the target knowledge segment extraction thread may be configured specifically based on a target soil description information example corresponding to target soil data, so as to obtain an information attribute evaluation thread capable of performing attribute evaluation on information corresponding to the target soil data. The number of the target soil data examples is generally smaller than the number of the specified soil description information examples, so that after the target knowledge segment extraction thread is determined based on the specified soil description information examples, thread configuration can be performed based on a small amount of target soil description information examples corresponding to the target soil data, and an information attribute evaluation thread suitable for a target soil data scene can be obtained, the number requirement on the target soil description information examples corresponding to the target soil data is reduced, and the method can be applied to the target soil data scene where the soil description information examples are sparse or difficult to obtain.
According to the method, the target knowledge segment extraction thread is generated through pre-configuration, and then fine adjustment is carried out on the target knowledge segment extraction thread based on the target soil data corresponding to the target soil description information example, so that the information attribute evaluation thread which can be used in a target soil data scene is obtained, and the configuration efficiency of the attribute evaluation thread is improved; further, thread configuration is carried out based on a specified soil description information example, so that the information attribute evaluation thread obtained through configuration has the capability of carrying out attribute evaluation based on the soil description information, and the soil description information can be described from multiple aspects, so that the soil description information has better knowledge segment representation capability, and the accuracy of attribute evaluation is further improved; in addition, the target knowledge segment extraction thread is determined through the configuration of the plurality of preconfiguration indication threads, and the configuration process of the plurality of preconfiguration indication threads is a plurality of configuration constraints on the target knowledge segment extraction thread, so that the knowledge segment extraction capability of the target knowledge segment extraction thread can be improved, and the attribute evaluation capability of the information attribute evaluation thread is further improved. Therefore, the information attribute evaluation is carried out based on the information attribute evaluation thread, the information attribute evaluation efficiency and the attribute evaluation accuracy can be improved, the soil can be evaluated more accurately, the soil can be reliably restored on the premise of the accurate evaluation of the soil, and the ecological balance can be restored as soon as possible.
The specific soil description information example comprises a plurality of specific soil description information association items, and soil space structure information and soil theme information in each specific soil description information association item are associated; for further derivatization of the specified soil descriptor examples, for each of the specified soil descriptor associations in the specified soil descriptor examples, a corresponding similar soil descriptor association may be determined, and the similar soil descriptor association may be derived based on the soil spatial structure information and the soil topic information in the specified soil descriptor examples.
An example derivation method of specified soil description information is shown, which may include the following.
S310, respectively extracting the soil subject information in the plurality of specified soil description information association items to obtain soil real-time information respectively corresponding to the plurality of specified soil description information association items.
S320, determining similar soil description information association items of all specified soil description information association items based on soil real-time information corresponding to all specified soil description information association items and soil real-time information corresponding to the remaining specified soil description information association items; and the remaining specified soil description information associated items are specified soil description information associated items except for the specified soil description information associated items in the specified soil description information associated items.
S330, combining the soil space structure information in each appointed soil description information association and the soil subject information in the similar soil description information association to generate a first new association.
S340, combining the soil space structure information in the similar soil description information association and the soil subject information in each appointed soil description information association to generate a second newly added association.
The soil real-time information may include one or more of the above soil real-time. And extracting soil real-time information, wherein the soil real-time information can be obtained through a specified soil real-time identification thread. On the premise that the soil real-time information corresponding to each specified soil description information association item is obtained through recognition, similarity calculation can be performed based on the soil real-time information corresponding to each specified soil description information association item, so that the similarity of each specified soil description information association item and other specified soil description information association items is obtained, and further similar soil description information association items corresponding to each specified soil description information association item are determined. When determining similar soil description information associated items corresponding to the respective specified soil description information associated items, the specified soil description information associated item having a similarity greater than the specified similarity may be determined as the similar soil description information associated item, and the specified soil description information associated item having the largest specified number of similarity may be determined as the similar soil description information associated item.
The soil space structure information corresponding to the soil topic information with similar soil real-time information can be considered to be similar, so that on the premise that the similar soil description information association corresponding to the current appointed soil description information association is determined, the first newly added association can be formed with the soil topic information in the similar soil description information association based on the soil space structure information of the current appointed soil description information association; when the number of the similar soil description information association items is a plurality of, the first new association item can be formed by the soil space structure information of the current appointed soil description information association item and the soil subject information in the randomly screened plurality of similar soil description information association items. Further, on the premise that the similar soil description information association corresponding to the current appointed soil description information association is determined, a second newly added association can be generated with the soil subject information in the current appointed soil description information association based on the soil space structure information in the similar soil description information association; when the number of the similar soil description information association items is a plurality of, the second newly added association item can be formed by the soil space structure information in the plurality of the similar soil description information association items which are randomly screened based on the soil subject information of the currently specified soil description information association items.
In one possible implementation embodiment, for a plurality of similar soil description information associated items corresponding to each specified soil description information associated item, the soil spatial structure information and the soil topic information in the plurality of similar soil description information associated items may be mutually converted, so as to generate a third newly added associated item.
By determining similar soil description information associated items of each specified soil description information associated item, mutual conversion of soil space structure information and soil subject information is carried out between each specified soil description information associated item and corresponding similar soil description information associated item, so that a new added associated item is formed, derivation of specified soil description information examples is realized, and the number of examples is increased.
The plurality of preconfigured indication threads in the embodiment of the invention can comprise first indication threads, and the first indication threads can be threads for realizing comparison indication learning, so that the first indication threads have the performance of identifying similar points or inconsistent points by configuring the first indication threads; in particular, the first indicating thread may comprise an original knowledge fragment extraction thread, and a comparison output unit, which illustrates a first indicating thread configuration method, which may comprise the following.
S410, respectively extracting knowledge segments by combining the original knowledge segment extraction thread with the specified soil description information example and the comparison soil description information example corresponding to the specified soil description information example to obtain corresponding first output knowledge segments and second output knowledge segments; the comparison soil description information example is based on the soil space structure information in the appointed soil description information example and/or is obtained by carrying out information conversion on soil subject information.
S420, combining the comparison output unit to perform comparison processing on the first output knowledge segment and the second output knowledge segment to obtain comparison output information.
S430, debugging the thread coefficient of the first indicating thread by combining the comparison output information and the appointed association information of the appointed soil description information example and the comparison soil description information example to obtain the configured first indicating thread.
S440, determining the target knowledge segment extraction thread by combining the configured first indication thread.
In this embodiment, the specified soil space structure information may be subjected to region conversion to obtain converted soil space structure information, where the specified soil space structure information is similar to or associated with the converted soil space structure information; the specified soil topic information can be subjected to regional conversion to obtain converted soil topic information, and the specified soil topic information is similar to or related to the converted soil topic information. The comparative soil descriptor example corresponding to the specified soil descriptor example may be a soil descriptor example obtained after converting the soil spatial structure information in the specified soil descriptor example, or a soil descriptor example obtained after converting the soil subject information in the specified soil descriptor example, or a soil descriptor example obtained after converting both the soil spatial structure information in the specified soil descriptor example and the soil subject information.
The original knowledge segment extraction thread corresponds to the target knowledge segment extraction thread, and the corresponding target knowledge segment extraction thread can be obtained after the original knowledge segment extraction thread is configured.
When the knowledge fragment extraction is performed on the appointed soil description information example and the comparison soil description information example based on the original knowledge fragment extraction thread, the knowledge fragment extraction can be realized based on the original knowledge fragment extraction thread in the same state, and the same state can be a state that the thread coefficients of the original knowledge fragment extraction thread are consistent when the knowledge fragment extraction is performed twice, so that the knowledge fragment extraction can be ensured to be performed under the consistent state respectively; for example, when knowledge segment extraction is performed on a specified soil description information example, the thread coefficients of the original knowledge segment extraction thread are recorded, so that consistent thread coefficients can be conveniently adopted when knowledge segment extraction is performed on a comparison soil description information example.
The comparison output unit can compare and analyze the input first output knowledge segment and second output knowledge segment to determine comparison output information of the first output knowledge segment and the second output knowledge segment; for the specific soil description information example and the conversion soil description information, the specific association information may be determined based on the association relationship between the specific soil description information example and the conversion soil description information, and the specific association information may be associated or not associated. Based on the comparison output information and the specified association information, first quantitative evaluation information can be determined, and then thread coefficient debugging is performed on the first instruction thread based on the first quantitative evaluation information, so that a corresponding configured first instruction thread is obtained.
The first indication thread comprises an original knowledge fragment extraction thread, and the corresponding configured first indication thread comprises a configured knowledge fragment extraction thread; for the determination of the target knowledge fragment extraction thread, the target knowledge fragment extraction thread can be determined by combining with one or a plurality of other configured knowledge fragment threads configured by the indicating thread on the premise of the configured knowledge fragment extraction thread configured by the first indicating thread.
The preconfigured indication thread in the embodiment may further include a second indication thread, where the second indication thread may be a thread for executing a region soil topic association indication, and by configuring the second indication thread, the second indication thread may learn a correlation between soil space structure information and soil topic information; accordingly, a second instruction thread configuration method is shown, which may include the following steps.
S510, obtaining conversion soil description information associated items corresponding to the specified soil description information associated items respectively; and the transformation soil description information association item is obtained by carrying out information transformation on the soil subject information in the plurality of specified soil description information association items.
S520, carrying out association item evaluation by combining the plurality of specified soil description information association items and conversion soil description information association items corresponding to the plurality of specified soil description information association items respectively to obtain a first conversion item and a second conversion item; the first conversion item comprises a conversion item of which the soil space structure information is related to the soil theme information and a conversion item of which the soil space structure information is not related to the soil theme information; the second conversion item is a conversion item of which the soil space structure information is not related to the soil subject information.
S530, carrying out thread configuration on the second instruction thread by combining the first conversion item to obtain a configured second instruction thread.
S540, carrying out association evaluation on the second conversion item by combining the configured second instruction thread to obtain association evaluation information.
S550, determining the second conversion item as an example of no relation of the target when the relation evaluation information indicates that the soil space structure information in the second conversion item is related to the soil theme information.
S560, carrying out thread configuration on the configured second indicating thread by combining the example that the target is not contacted, and obtaining the optimized second indicating thread.
S570, combining the optimized second instruction thread, and determining the target knowledge segment extraction thread.
When the information in the association of the specified soil description information is converted, the soil space structure information can be converted, the soil subject information can also be converted, the embodiment is described by taking the conversion of the soil subject information as an example, the specified possibility can be specifically converted, and the specified possibility can be 0.3, 0.6 and the like. In converting the soil topic information in the specified soil description information association, the soil topic information in the currently specified soil description information association may be converted by using the soil topic information of other specified soil description information association in the specified soil description information example, or the soil topic information of the currently specified soil description information association may be converted into null information. Converting the soil topic information of other specified soil description information association items into the soil topic information in the current specified soil description information association item, so that the second indication thread can learn the relevance of the soil space structure information and the soil topic information; the soil topic information of the currently appointed soil description information association is converted into the null information, so that the condition that the soil topic information is lost in an actual application scene can be simulated, and the adaptability and the robustness of the second indication thread are improved.
On the premise that the soil subject information in the current specified soil description information association is converted by using the soil subject information of other specified soil description information association items in the specified soil description information example, the conversion soil description information association item may also comprise a conversion item of which the soil space structure information is associated with the soil subject information and a conversion item of which the soil space structure information is not associated with the soil subject information.
The soil space structure information and the soil topic information in the plurality of specified soil description information association items are associated, so that the plurality of specified soil description information association items can be directly determined as first conversion items; for each of the plurality of specified soil description information association items, a conversion item in which the soil spatial structure information is associated with the soil subject information in the conversion soil description information association item may be determined as a first conversion item, and a part of the conversion soil description information association items are randomly screened from among the conversion items in which the soil spatial structure information is not associated with the soil subject information as a first conversion item, and the remaining conversion soil description information association items are determined as second conversion items.
The first conversion item comprises a conversion item of which the soil space structure information is related to the soil theme information, and the second instruction thread can be configured by threads based on the first conversion item to obtain a configured second thread; then carrying out association evaluation on the second conversion item based on the configured second instruction thread to obtain association evaluation information; the soil space structure information in the second conversion item is not associated with the soil subject matter information, so that the second conversion item can be taken as an example of no link. The appointed association information of the transformation soil description information in the second transformation item is irrelevant, so that when the association evaluation information indicates that the soil space structure information in the second transformation item is associated with the soil theme information, the evaluation can be determined to be incorrect, the second transformation item which is associated with the soil space structure information and the soil theme information is determined to be an object non-contact example, the object non-contact example is an object non-contact example, namely an error non-contact example which is easy to evaluate, the error non-contact example which is easy to evaluate is screened out, the second indication thread is configured based on the object non-contact example, the second indication thread has the capability of learning the object non-contact example, and the thread performance of the second indication thread can be improved; and determining a target knowledge segment extraction thread based on the optimized second instruction thread, and improving the thread performance of the target knowledge segment extraction thread.
For the determination of the target knowledge fragment extraction thread, the target knowledge fragment extraction thread can be determined by combining with one or a plurality of other configured knowledge fragment threads configured by the second instruction thread on the premise of the configured knowledge fragment extraction thread configured by the second instruction thread.
Further, the second instruction thread comprises an original knowledge fragment extraction thread and an associated output unit; accordingly, another second instruction thread configuration method is shown, comprising the following steps.
S610, carrying out knowledge segment extraction on the first conversion item by combining the original knowledge segment extraction thread to obtain a third output knowledge segment.
S620, carrying out association processing on the third output knowledge segments by combining the association output unit to obtain association output information.
S630, debugging the thread coefficient of the second instruction thread by combining the associated output information and the appointed associated information of the soil space structure information and the soil theme information in the first conversion item to obtain the configured second instruction thread.
In this embodiment, the third output knowledge segment may include a knowledge segment corresponding to the soil spatial structure information of the first conversion item and a knowledge segment corresponding to the soil topic information, so that the association output unit may perform association processing on the input third output knowledge segment to obtain association output information of the soil spatial structure information and the soil topic information in the first conversion item; the associated output information may be used to characterize the degree of association of the soil spatial structure information with the soil topic information in the first conversion term.
The soil space structure information and the soil topic information in the first conversion item are provided with corresponding appointed association information, second quantitative evaluation information can be determined based on the association output information and the appointed association information, and thread coefficients of the second indication thread are debugged based on the second quantitative evaluation information, so that the corresponding configured second indication thread is obtained.
The preconfigured indication thread in the embodiment may further include a third indication thread, where the third indication thread may be a thread for implementing supervised attribute evaluation configuration indication, and by configuring the third indication thread, the third indication thread may learn attribute evaluation information covered by soil spatial structure information and soil topic information; the third instruction thread comprises an original knowledge fragment extraction thread and an attribute evaluation output unit; the specific soil description information example comprises a plurality of specific soil description information association items, and soil space structure information and soil theme information in each specific soil description information association item are associated. Accordingly, a third indicating thread configuration method is shown, which may include the following steps.
S710, carrying out knowledge segment extraction on potential information items corresponding to the plurality of specified soil description information association items by combining the original knowledge segment extraction thread to obtain a fourth output knowledge segment; the potential information items are obtained based on analysis processing of soil topic information in the plurality of specified soil description information association items.
S720, carrying out attribute evaluation processing on the fourth output knowledge segment by combining the attribute evaluation output unit to obtain attribute evaluation output information.
S730, debugging the thread coefficient of the third instruction thread by combining the attribute evaluation output information and the target attribute evaluation identifiers of the plurality of specified soil description information association to obtain the configured third instruction thread.
S740, determining the target knowledge segment extraction thread by combining the configured third indication thread.
The attribute evaluation output unit in the third instruction thread can output corresponding attribute evaluation information based on the input knowledge segment; the specific soil description information example can further comprise target attribute evaluation identifiers corresponding to the specific soil description information association items, and the third instruction thread is configured based on the specific soil description information association items and the corresponding target attribute evaluation identifiers, so that a corresponding configured third instruction thread can be obtained.
Further, the soil subject information of the plurality of specified soil description information association items can be subjected to random analysis processing, specifically, a part of the specified soil description information association items are randomly screened from the plurality of specified soil description information association items, then the screened part of the specified soil description information association items are subjected to analysis processing with specified possibility, so that corresponding potential information items are obtained, and the specified possibility can be 0.3, 0.6 and the like; the third indication thread may then be configured based on the association of the specific soil description information that was not screened and the potential information items.
When the third indication thread is configured based on the potential information items, the knowledge segment extraction is performed on the potential information items based on the original knowledge segment extraction thread, so that a corresponding fourth output knowledge segment is obtained; and carrying out attribute evaluation processing on the fourth output knowledge segment based on the attribute evaluation output unit to obtain attribute evaluation output information, determining third quantitative evaluation information based on the attribute evaluation output information and the target attribute evaluation identification, and debugging the thread coefficient of the third instruction thread based on the third quantitative evaluation information to obtain a corresponding configured third instruction thread.
For the association of the soil description information which is not potentially appointed, the information of the original knowledge segment extraction thread is input, wherein the information comprises soil space structure information and soil topic information; for potential information items, the information of the original knowledge segment extraction thread input by the potential information items comprises soil space structure information and null information.
For the determination of the target knowledge fragment extraction thread, the target knowledge fragment extraction thread can be determined by combining with one or a plurality of other configured knowledge fragment threads configured by the indicating thread on the premise of the configured knowledge fragment extraction thread configured by the third indicating thread.
The third indication thread executes the supervised attribute evaluation configuration indication, so that the third indication thread can learn the soil space structure information and the attribute evaluation information covered by the soil subject information, the thread performance of the third indication thread can be improved, and the thread performance of a target extraction thread determined based on the third indication thread can also be improved; further, by performing random analysis processing on the soil topic information in the specified soil description information association, information attribute evaluation based on soil space structure information can be simulated on the premise of soil topic information loss, so that the adaptability and robustness of the configured third indication thread can be improved, and the adaptability and robustness of the target extraction thread determined based on the third indication thread can be further improved.
Further, the preconfigured instruction thread in the embodiment of the invention may further include a fourth instruction thread, where the fourth instruction thread may be a mask language thread, and the fourth instruction thread includes an original knowledge segment extraction thread and a mask information evaluation layer, and performs mask processing on soil topic information in the specified soil description information association, and then performs knowledge segment extraction on soil space structure information in the specified soil description information association and the masked soil topic information based on the original knowledge segment extraction thread to obtain a fifth output knowledge segment; evaluating the fifth output knowledge segment based on the shielding information evaluation layer to obtain shielding evaluation information, and configuring a fourth instruction thread based on the shielding evaluation information and the shielded soil subject information to obtain a configured fourth instruction thread; a target knowledge segment extraction thread is determined based on the configured fourth indication thread.
In this embodiment, the target soil description information examples corresponding to the target soil data may include a plurality of specified soil description information association items and corresponding target attribute evaluation identifiers, so that the attribute evaluation threads to be configured may be configured based on the target soil description information examples, and corresponding information attribute evaluation threads may be obtained; in the target soil data scene, the attribute evaluation number is increased according to the soil data requirement, so that an optimized attribute evaluation identifier corresponding to the newly added attribute evaluation is newly added on the premise of the target attribute evaluation identifier; there is shown an information attribute assessment thread optimization method, which may include the following steps.
S810, obtaining an optimized soil description information example; the optimized soil description information example comprises the plurality of target attribute evaluation identifications.
S820, carrying out thread configuration on the information attribute evaluation thread by combining the optimized soil description information example to obtain an optimized information attribute evaluation thread.
In one possible implementation, X target attribute evaluation identifications may be determined in the target soil data scene, i.e., there may be X attribute evaluations for the soil description information involved in the target soil data scene; along with the continuous promotion of the target soil data, optimizing the attribute evaluation of the soil description information in the target soil data scene; in this embodiment, optimizing the target attribute evaluation identifier may include adding a new attribute evaluation identifier on the premise of the target attribute evaluation identifier, thereby increasing the types of attribute evaluation; optimizing the target attribute evaluation identifiers can also be further refining one or a plurality of the target attribute evaluation identifiers, namely, each target attribute evaluation identifier can be refined into two or more new identifiers, and the two or more new identifiers can convert the corresponding target attribute evaluation identifiers; and when the attribute evaluation identification is optimized, the soil description information corresponding to the corresponding optimized attribute evaluation identification needs to be optimized.
The information attribute evaluation thread is configured based on the optimized soil description information example information, namely, the thread configuration is realized on the premise of the configured information attribute evaluation thread without the need of re-performing the thread configuration after the soil description information example information is optimized, and the re-configuration of the information attribute evaluation thread can be realized based on optimized information, so that the information attribute evaluation thread can learn the optimized information, and the flexibility of the information attribute evaluation thread optimization is improved.
On the basis of the above, there is provided an evaluation device of soil quality, the device comprising:
the information acquisition module is used for acquiring target soil information of a target object; the target soil information is soil space structure information and soil theme information of the target object, or the target soil information is soil space structure information of the target object;
the result evaluation module is used for performing attribute evaluation on the target soil information based on an information attribute evaluation thread to obtain a first attribute evaluation result of the target object; the information attribute evaluation thread is obtained by configuring an attribute evaluation thread to be configured based on a target soil description information example corresponding to target soil data; the attribute evaluation thread to be configured is obtained based on the target knowledge segment extraction thread and the appointed attribute evaluation unit; the target knowledge segment extraction thread is obtained by respectively carrying out thread configuration on a plurality of preconfiguration indication threads based on a specified soil description information example, and the target knowledge segment extraction thread is a sharing thread of the preconfiguration indication threads
On the basis of the above, an evaluation system of soil quality is shown, comprising a processor and a memory in communication with each other, the processor being adapted to read a computer program from the memory and to execute it for carrying out the method as described above.
On the basis of the above, there is also provided a computer readable storage medium on which a computer program stored which, when run, implements the above method.
In summary, based on the above scheme, configuring a plurality of preconfiguration indication threads respectively based on a specified soil description information example in advance to obtain a target knowledge segment extraction thread shared by the plurality of preconfiguration indication threads; then, determining an attribute evaluation thread to be configured based on the target knowledge segment extraction layer and the evaluation attribute evaluation unit; and configuring the attribute evaluation thread to be configured based on the target soil description information example corresponding to the target soil data to obtain the information attribute evaluation thread corresponding to the target soil data. In the invention, the target knowledge segment extraction thread is generated through pre-configuration, and then the target knowledge segment extraction thread is finely tuned based on the target soil data corresponding to the target soil description information example, so that the information attribute evaluation thread which can be used in a target soil data scene is obtained, and the configuration efficiency of the information attribute evaluation thread is improved; further, thread configuration is carried out based on a specified soil description information example, so that the information attribute evaluation thread obtained through configuration has the capability of carrying out attribute evaluation based on the soil description information, and the soil description information can be described from multiple aspects, so that the soil description information has better knowledge segment representation capability, and the accuracy of attribute evaluation is further improved; in addition, the target knowledge segment extraction thread is determined through the configuration of the plurality of preconfiguration indication threads, and the configuration process of the plurality of preconfiguration indication threads is a plurality of configuration constraints on the target knowledge segment extraction thread, so that the knowledge segment extraction capability of the target knowledge segment extraction thread can be improved, and the attribute evaluation capability of the information attribute evaluation thread is further improved. Therefore, the information attribute evaluation is carried out based on the information attribute evaluation thread, the information attribute evaluation efficiency and the attribute evaluation accuracy can be improved, the soil can be evaluated more accurately, the soil can be reliably restored on the premise of the accurate evaluation of the soil, and the ecological balance can be restored as soon as possible.
It should be appreciated that the systems and modules thereof shown above may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may then be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or special purpose design hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such as provided on a carrier medium such as a magnetic disk, CD or DVD-ROM, a programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application may be implemented not only with hardware circuitry, such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also with software, such as executed by various types of processors, and with a combination of the above hardware circuitry and software (e.g., firmware).
It should be noted that, the advantages that may be generated by different embodiments may be different, and in different embodiments, the advantages that may be generated may be any one or a combination of several of the above, or any other possible advantages that may be obtained.
Claims (9)
1. A method of evaluating soil quality, the method comprising:
obtaining target soil information of a target object; the target soil information is soil space structure information and soil theme information of the target object, or the target soil information is soil space structure information of the target object;
performing attribute evaluation on the target soil information based on an information attribute evaluation thread to obtain a first attribute evaluation result of the target object; the information attribute evaluation thread is obtained by configuring an attribute evaluation thread to be configured based on a target soil description information example corresponding to target soil data; the attribute evaluation thread to be configured is obtained based on the target knowledge segment extraction thread and the appointed attribute evaluation unit; the target knowledge segment extraction thread is obtained by respectively carrying out thread configuration on a plurality of preconfiguration indication threads based on the appointed soil description information example, and the target knowledge segment extraction thread is a sharing thread of the preconfiguration indication threads.
2. The method according to claim 1, wherein the specified soil description information example comprises a plurality of specified soil description information associations, and soil space structure information and soil topic information in each specified soil description information association are associated; the method further comprises the steps of:
respectively extracting the soil subject information in the plurality of specified soil description information association items to obtain soil real-time information respectively corresponding to the plurality of specified soil description information association items;
determining similar soil description information association items of each specified soil description information association item based on the soil real-time information corresponding to each specified soil description information association item and the soil real-time information corresponding to the remaining specified soil description information association items; the remaining specified soil description information associated items are specified soil description information associated items except for the specified soil description information associated items in the specified soil description information associated items; combining the soil space structure information in each appointed soil description information association with the soil subject information in the similar soil description information association to generate a first new association;
And combining the soil space structure information in the similar soil description information association with the soil subject information in each appointed soil description information association to generate a second newly added association.
3. The method of claim 1, wherein the number of preconfigured indication threads comprises a first indication thread, the first indication thread comprising an original knowledge fragment extraction thread and a comparison output unit; the method further comprises the steps of:
the original knowledge segment extraction thread is combined to extract knowledge segments from the specified soil description information examples and the comparison soil description information examples corresponding to the specified soil description information examples respectively, so that corresponding first output knowledge segments and second output knowledge segments are obtained; the comparison soil description information example is obtained based on information conversion of soil space structure information and/or soil subject information in the appointed soil description information example;
the comparison output unit is combined to perform comparison processing on the first output knowledge segment and the second output knowledge segment to obtain comparison output information;
debugging the thread coefficient of the first indicating thread by combining the comparison output information and the appointed association information of the appointed soil description information example and the comparison soil description information example to obtain a configured first indicating thread; and determining the target knowledge segment extraction thread by combining the configured first indication thread.
4. The method of claim 1, wherein the number of preconfigured indication threads includes a second indication thread, the specified soil description information instance includes a number of specified soil description information associations, soil spatial structure information in each specified soil description information association is associated with soil topic information; the method further comprises the steps of:
obtaining conversion soil description information associated items corresponding to the specified soil description information associated items respectively; the soil description information conversion associated items are obtained based on information conversion of soil subject information in the plurality of specified soil description information associated items;
carrying out association item evaluation by combining the plurality of specified soil description information association items and conversion soil description information association items corresponding to the plurality of specified soil description information association items respectively to obtain a first conversion item and a second conversion item;
the first conversion item comprises a conversion item of which the soil space structure information is related to the soil theme information and a conversion item of which the soil space structure information is not related to the soil theme information; the second conversion item is a conversion item of which the soil space structure information is not related to the soil subject information;
Performing thread configuration on the second instruction thread by combining the first conversion item to obtain a configured second instruction thread; performing association evaluation on the second conversion item by combining the configured second instruction thread to obtain association evaluation information;
determining the second conversion item as an example of no relation of the target when the relation evaluation information indicates that the soil space structure information in the second conversion item is associated with the soil subject information;
performing thread configuration on the configured second instruction thread by combining the example that the target has no relation, so as to obtain an optimized second instruction thread; and combining the optimized second indicating thread, and determining the target knowledge segment extraction thread.
5. The method of claim 4, wherein the second instruction thread comprises an original knowledge segment extraction thread and an associated output unit; the thread configuration of the second instruction thread is carried out by combining the first conversion item, and the obtaining of the configured second instruction thread comprises the following steps:
carrying out knowledge segment extraction on the first conversion item by combining the original knowledge segment extraction thread to obtain a third output knowledge segment;
Carrying out association processing on the third output knowledge segments by combining the association output unit to obtain association output information;
and debugging the thread coefficient of the second instruction thread by combining the associated output information and the appointed associated information of the soil space structure information and the soil theme information in the first conversion item to obtain the configured second instruction thread.
6. The method of claim 1, wherein the number of preconfigured instruction threads includes a third instruction thread, the third instruction thread including an original knowledge fragment extraction thread and an attribute evaluation output unit; the specific soil description information example comprises a plurality of specific soil description information association items, and soil space structure information and soil topic information in each specific soil description information association item are associated; the method further comprises the steps of:
carrying out knowledge segment extraction on potential information items corresponding to the plurality of specified soil description information association items by combining the original knowledge segment extraction thread to obtain a fourth output knowledge segment; the potential information items are obtained based on analysis processing of soil topic information in the plurality of specified soil description information association items;
Performing attribute evaluation processing on the fourth output knowledge segment by combining the attribute evaluation output unit to obtain attribute evaluation output information;
debugging the thread coefficient of the third instruction thread by combining the attribute evaluation output information and the target attribute evaluation identifiers of the plurality of specified soil description information association to obtain a configured third instruction thread; and determining the target knowledge segment extraction thread in combination with the configured third indication thread.
7. The method of claim 1, wherein the target soil description information examples include a number of target attribute assessment identifications; the method further comprises the steps of:
obtaining an optimized soil description information example; the optimized soil description information example comprises the plurality of target attribute evaluation identifiers;
and carrying out thread configuration on the information attribute evaluation thread by combining the optimized soil description information example to obtain an optimized information attribute evaluation thread.
8. The method according to claim 1, wherein the performing attribute evaluation on the target soil information based on the information attribute evaluation thread to obtain a first attribute evaluation result of the target object includes:
Acquiring soil position area information, wherein the soil position area information comprises historical soil information and burst soil information, and the burst soil information covers the change of a soil structure caused by geological disasters;
inputting the historical soil information and the burst soil information into the information attribute evaluation thread, and performing coefficient debugging on the information attribute evaluation thread to obtain a debugged information attribute evaluation thread;
and carrying out attribute evaluation on the target soil information through the debugged information attribute evaluation thread to obtain a first attribute evaluation result of the target object.
9. An evaluation system for soil quality, comprising a processor and a memory in communication with each other, said processor being adapted to read a computer program from said memory and execute it for carrying out the method according to any one of claims 1-8.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410036567.8A CN117541129B (en) | 2024-01-10 | 2024-01-10 | Soil quality assessment method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410036567.8A CN117541129B (en) | 2024-01-10 | 2024-01-10 | Soil quality assessment method and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN117541129A true CN117541129A (en) | 2024-02-09 |
CN117541129B CN117541129B (en) | 2024-04-09 |
Family
ID=89794286
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202410036567.8A Active CN117541129B (en) | 2024-01-10 | 2024-01-10 | Soil quality assessment method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117541129B (en) |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003139765A (en) * | 2001-07-06 | 2003-05-14 | Sakae Shibusawa | Device for observing characteristic of soil |
US9563852B1 (en) * | 2016-06-21 | 2017-02-07 | Iteris, Inc. | Pest occurrence risk assessment and prediction in neighboring fields, crops and soils using crowd-sourced occurrence data |
CN109359814A (en) * | 2018-09-06 | 2019-02-19 | 和辰(深圳)科技有限公司 | Soil constituent information processing method, device, system, storage medium and equipment |
CN113848305A (en) * | 2021-09-03 | 2021-12-28 | 刘伟 | Region identification method and system based on soil element content detection |
KR102512415B1 (en) * | 2022-07-22 | 2023-03-21 | 경희대학교 산학협력단 | Ecosystem services-based soil quality index tailored to the metropolitan environment for soil assessment and management |
CN116205497A (en) * | 2023-04-24 | 2023-06-02 | 四川川核地质工程有限公司 | Landslide intelligent early warning method and system based on artificial intelligence |
CN116629492A (en) * | 2023-06-03 | 2023-08-22 | 中国农业科学院农业环境与可持续发展研究所 | Integrated learning optimization evaluation method for soil quality improvement effect |
CN116862320A (en) * | 2023-09-04 | 2023-10-10 | 北京佳格天地科技有限公司 | Rural ecological environment assessment supervision method, system and storage medium |
CN116912061A (en) * | 2023-07-14 | 2023-10-20 | 邢台职业技术学院 | Soil ecological environment monitoring and management method and system based on big data |
CN116959602A (en) * | 2023-09-19 | 2023-10-27 | 四川省华地建设工程有限责任公司 | Soil evaluation method and system based on artificial intelligence |
-
2024
- 2024-01-10 CN CN202410036567.8A patent/CN117541129B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003139765A (en) * | 2001-07-06 | 2003-05-14 | Sakae Shibusawa | Device for observing characteristic of soil |
US9563852B1 (en) * | 2016-06-21 | 2017-02-07 | Iteris, Inc. | Pest occurrence risk assessment and prediction in neighboring fields, crops and soils using crowd-sourced occurrence data |
CN109359814A (en) * | 2018-09-06 | 2019-02-19 | 和辰(深圳)科技有限公司 | Soil constituent information processing method, device, system, storage medium and equipment |
CN113848305A (en) * | 2021-09-03 | 2021-12-28 | 刘伟 | Region identification method and system based on soil element content detection |
KR102512415B1 (en) * | 2022-07-22 | 2023-03-21 | 경희대학교 산학협력단 | Ecosystem services-based soil quality index tailored to the metropolitan environment for soil assessment and management |
CN116205497A (en) * | 2023-04-24 | 2023-06-02 | 四川川核地质工程有限公司 | Landslide intelligent early warning method and system based on artificial intelligence |
CN116629492A (en) * | 2023-06-03 | 2023-08-22 | 中国农业科学院农业环境与可持续发展研究所 | Integrated learning optimization evaluation method for soil quality improvement effect |
CN116912061A (en) * | 2023-07-14 | 2023-10-20 | 邢台职业技术学院 | Soil ecological environment monitoring and management method and system based on big data |
CN116862320A (en) * | 2023-09-04 | 2023-10-10 | 北京佳格天地科技有限公司 | Rural ecological environment assessment supervision method, system and storage medium |
CN116959602A (en) * | 2023-09-19 | 2023-10-27 | 四川省华地建设工程有限责任公司 | Soil evaluation method and system based on artificial intelligence |
Non-Patent Citations (2)
Title |
---|
任加国;王彬;师华定;武倩倩;: "沱江上源支流土壤重金属污染空间相关性及变异解析", 农业环境科学学报, no. 03, 20 March 2020 (2020-03-20), pages 92 - 103 * |
张国政: "区域农业旱灾灾情预测与评估灰建模方法研究", 《中国博士学位论文全文数据库 (基础科学辑)》, no. 02, 15 February 2023 (2023-02-15), pages 009 - 24 * |
Also Published As
Publication number | Publication date |
---|---|
CN117541129B (en) | 2024-04-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Rahimi et al. | Vulnerability scrying method for software vulnerability discovery prediction without a vulnerability database | |
CN114139210B (en) | Big data security threat processing method and system based on intelligent service | |
CN111368241B (en) | Webpage element identification method based on XPath | |
US20160255109A1 (en) | Detection method and apparatus | |
Bao et al. | Reverse engineering time-series interaction data from screen-captured videos | |
CN113449703B (en) | Quality control method and device for environment online monitoring data, storage medium and equipment | |
CN115494526A (en) | GNSS deception jamming detection method and device, electronic equipment and storage medium | |
CN117541129B (en) | Soil quality assessment method and system | |
Saberi et al. | A passive online technique for learning hybrid automata from input/output traces | |
Xu et al. | An improved SMURF scheme for cleaning RFID data | |
CN116074092B (en) | Attack scene reconstruction system based on heterogram attention network | |
Zhao et al. | YOLO-CEA: A real-time industrial defect detection method based on contextual enhancement and attention | |
Shao et al. | TD-Net: tiny defect detection network for industrial products | |
Dhaouadi et al. | On the data stream processing frameworks: A case study | |
Tsai et al. | Object architected design and efficient dynamic adjustment mechanism of distributed web crawlers | |
Chen et al. | YOLOv5-ABLN: A Small Object Detection Model for Game App Interface | |
Yu et al. | GCFormer: Global Context-aware Transformer for Remote Sensing Image Change Detection | |
CN117668368B (en) | E-commerce data pushing method and system based on big data | |
Xudong et al. | An novel circuit board fault diagnosis network using infrared thermal image | |
Jonietz et al. | Towards an analytical framework for enriching movement trajectories with spatio-temporal context data | |
CN117930370B (en) | Ocean magnetic field measurement and imaging method, device, equipment and medium | |
CN112837040B (en) | Power data management method and system applied to smart grid | |
CN116383883B (en) | Big data-based data management authority processing method and system | |
CN115905561B (en) | Body alignment method and device, electronic equipment and storage medium | |
Jing et al. | Feature aggregation network for small object detection |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |