Collaborative management method and system for groundwater resource evaluation tasks

Abstract

This application discloses a collaborative management method for groundwater resource assessment tasks. This method establishes and links a multi-level geographic regional database and a corresponding three-level user system, while simultaneously constructing a data standardization processing channel to uniformly convert multi-source, heterogeneous raw assessment data into standardized computational raster data. Based on this, the system can automatically identify potential task duplication during task creation and distribution, triggering collaborative processing logic including direct sharing, scope filtering, or result comparison selection, thereby intelligently avoiding work duplication caused by overlapping management systems. This application, by integrating a multi-level collaborative management mechanism with intelligent data preprocessing technology, forms a logically closed-loop online management process, effectively solving the problems of unclear task boundaries, low collaborative efficiency, difficulty in data sharing, and inconsistent summary results in traditional work models.

Description

Technical Field

[0001] This application relates to the field of hydrogeology and water resources investigation and evaluation technology, specifically to an intelligent collaborative management method and system for groundwater resources evaluation tasks that involve multi-level linkage at the national, river basin, and provincial (i.e., provincial administrative region) levels. Background Technology

[0002] Conducting a nationwide groundwater resource assessment is a crucial foundational task for understanding water resource reserves and serving land spatial planning and water resource management. Currently, this work is coordinated by the national government and jointly implemented by river basin management agencies and provincial technical units. However, the existing working model faces two major challenges:

[0003] First, overlapping management systems lead to inefficient collaboration. River basins and provincial-level administrative divisions overlap in their management scope (one river basin covers multiple provincial-level administrative regions, and one provincial-level administrative region involves multiple river basins), forming a complex "matrix" management relationship. This relationship results in blurred task boundaries and unclear responsibilities, easily leading to duplication or omissions. River basins need to aggregate data from various provincial-level administrative regions, while each provincial-level administrative region needs to meet the needs of multiple river basins, resulting in high communication and coordination costs and making it difficult to ensure the consistency of aggregated results at all levels.

[0004] Second, inefficient data management hinders the quality of the assessment. Groundwater resource assessment involves dozens of recharge and discharge calculations, including rainfall infiltration, evaporation discharge, and lateral runoff. Each calculation relies on various parameters and data (such as vector zoning data, raster isosurface data, and station time-series data). Currently, these data come from diverse sources, have different formats, and vary in standards. Their collection, processing, and verification are highly dependent on manual labor, which is inefficient and prone to errors. This makes it difficult to achieve efficient sharing and direct use in model calculations, becoming a bottleneck restricting the scientific rigor and timeliness of the assessment work.

[0005] Therefore, there is an urgent need for a solution that can innovate from both the management system and technical means levels to achieve online task collaboration processes, standardized data management, and intelligent evaluation processes, thereby improving the overall efficiency, collaboration level, and quality of results of groundwater resource evaluation work nationwide. Summary of the Invention

[0006] This application aims to overcome the aforementioned deficiencies of the prior art and provides an intelligent collaborative management method and system for groundwater resource assessment tasks. This method and system organically integrate a multi-level linkage collaborative management mechanism with intelligent data management technology to construct an online, visualized, and intelligent collaborative work platform. To achieve the above objectives, the technical solution adopted in this application includes:

[0007] In a first aspect, embodiments of this application provide a collaborative management method for groundwater resource assessment tasks, including:

[0008] The system will integrate multi-level geospatial vector data, including national, river basin, provincial and sub-provincial administrative divisions, and establish spatial intersection and authority-responsibility relationships between regions at each level.

[0009] The system users are divided into a three-tier system: national, river basin, and provincial. Each user tier is equipped with a data upload and processing unit. The data upload and processing unit is used to receive multi-format raw evaluation data related to groundwater recharge and discharge items uploaded by users, automatically identify and verify the data for standardization, and convert the verified data into standardized calculation raster data and store it.

[0010] Evaluation tasks covering specific river basins and provinces are created and distributed by national-level management users. After receiving the tasks, river basin-level and provincial-level management users determine whether there are duplicate evaluation tasks for the same geographical area initiated by users at other levels within their jurisdiction based on regional relationships.

[0011] If there are duplicate evaluation tasks, the system triggers collaborative processing logic, which includes at least one of the following: directly sharing completed evaluation results data, automatically filtering geographical areas covered by other tasks when creating sub-tasks, or comparing and selecting multiple evaluation results generated in the same area; if there are no duplicate evaluation tasks, users at all levels can independently perform groundwater resource evaluation calculations by calling the calculation raster data obtained after the aforementioned standardization processing within their task scope.

[0012] River basin-level management users review all evaluation results within their jurisdiction and screen and confirm results from overlapping areas; the reviewed and confirmed results are submitted to national-level management users, who then spatially aggregate them by administrative region or river basin to form national and regional evaluation results.

[0013] Furthermore, it is converted into standardized computational raster data, specifically including:

[0014] Based on the groundwater recharge and discharge balance relationship, multiple recharge and discharge items and a set of evaluation parameters corresponding to each recharge and discharge item are predefined;

[0015] Receive raw data uploaded by users and automatically identify the supplementary items and data types to which the data belongs based on the parameter set. The data types include at least time-series dynamic monitoring data, vector partition data and raster data.

[0016] For different data types, the corresponding validation rules are invoked to perform standardization checks. The standardization checks include at least one of the following: spatial coordinate system, attribute field integrity, numerical range, and time series continuity.

[0017] All types of data that pass the verification are uniformly converted into standardized computational raster data with a specified spatial resolution under a preset projection coordinate system and stored.

[0018] Furthermore, the collaborative processing logic specifically includes:

[0019] When a watershed-level management user confirms the use of evaluation results shared by an associated province, the system automatically marks the standardized calculation raster data and evaluation result data of that province within the watershed as shared data available for the watershed.

[0020] When a watershed-level management user needs to create a subtask independently, the system automatically removes overlapping areas from the total geographical scope of the subtask defined by the user, where there are already related provinces and regions that have committed to evaluation and are preparing to share data, and generates a net evaluation scope for task creation based on the regional association relationship.

[0021] When independent evaluation results from both the river basin and related provinces exist simultaneously within the same geographical area, the system extracts and displays the intermediate or final evaluation results of the standardized calculation raster data from both sides, allowing river basin-level management users to conduct comparative analysis and select one as the confirmed result for the region.

[0022] Furthermore, the independent execution of groundwater resource assessment calculations by users at all levels also includes the migration of historical task data, specifically including:

[0023] In response to the user's instruction to initiate data migration for the current evaluation task, the system automatically extracts the evaluation unit division scheme, landform type identifier, supplementary item setting parameters and / or associated historical standardized calculation raster data from the user-specified historical evaluation tasks, and copies or associates them with the current task.

[0024] Furthermore, it also includes:

[0025] The system provides a visual interface for senior users to view the execution progress of tasks of all subordinate users under their jurisdiction in real time;

[0026] The system visualizes and queries the data generated during task execution, including uploaded raw data, standardized computational raster data, and intermediate calculation results, based on user permissions and regional relationships.

[0027] Furthermore, when users at all levels independently perform groundwater resource assessment calculations, the system provides a balance analysis and adjustment function, specifically including:

[0028] After the user completes the calculation of each replenishment and discharge volume within the evaluation unit, the system performs a balance calculation based on the difference between the total replenishment and the total discharge volume;

[0029] If the imbalance exceeds the preset threshold, the system will prompt an imbalance and allow the user to locate the specific supplementary item, readjust the evaluation parameters or standardize the calculated raster data corresponding to that supplementary item, and then re-trigger the calculation until the balance requirements are met.

[0030] Secondly, embodiments of this application provide a collaborative management system for implementing any of the aforementioned collaborative management methods, comprising:

[0031] The region and relationship management module is used to store multi-level geospatial vector data at the national, river basin, provincial and sub-provincial levels, and to establish and maintain spatial intersection and rights and responsibilities relationships between regions at each level.

[0032] The user and permission management module is used to create and authenticate users at the national, river basin, and provincial levels, and to assign management or ordinary permission roles to users.

[0033] The data standardization processing engine is used to receive multi-format raw evaluation data uploaded by users, automatically identify and verify the standardization based on a predefined set of supplementary parameters, and uniformly convert the verified data into standardized computational raster data stored in a unified spatial database.

[0034] A unified spatial database is used for the aforementioned data storage;

[0035] The task collaboration management module is used to respond to the task creation and distribution instructions of the management user, and intelligently process duplicate evaluation tasks based on the association relationship in the region and relationship management module. It includes sub-logic units for realizing data sharing, range filtering or result comparison selection.

[0036] The evaluation calculation and balance adjustment module provides users with evaluation unit configuration, replenishment and discharge item selection, calculation execution, and interactive adjustment functions based on water balance difference;

[0037] The visualization monitoring and results aggregation module is used to graphically display task progress, spatial data, and evaluation results, and provides a multi-level review interface. Finally, it aggregates and generates evaluation results reports at all levels according to spatial scope.

[0038] Furthermore, the data standardization processing engine includes:

[0039] The rule configuration unit is used to predefine and store the set of evaluation parameters corresponding to groundwater recharge and discharge items, as well as the verification rules for different data types;

[0040] The data identification and verification unit is used to automatically classify the received uploaded data and call the corresponding verification rules to perform standardization checks.

[0041] The data conversion and publishing unit is used to convert verified vector, raster, and time-series data into standardized computational raster data with specified projection and resolution, store them in a unified spatial database, and generate map services for visualization.

[0042] Furthermore, the task collaboration management module includes:

[0043] The task status awareness unit is used to track the geographical scope, execution status, and data sharing intentions of each task in real time.

[0044] The intelligent decision support unit is used to automatically recommend collaborative strategies based on regional associations and information from the task status perception unit when managing users to perform task operations. The collaborative strategies include direct sharing, range filtering, or initiating comparison.

[0045] The comparative analysis tool unit is used to extract and visualize key data and results when multiple results exist in the same area, assisting management users in making selections.

[0046] Furthermore, it also includes: a data migration service module;

[0047] The data migration service module is connected to the unified spatial database and the evaluation calculation and balance adjustment module. It is used to respond to migration instructions from the evaluation calculation and balance adjustment module, retrieve specified historical task data from the unified spatial database, including evaluation unit configuration, supplementary arrangement item settings and related standardized calculation raster data identifiers, and associate or copy them to the current task.

[0048] Thirdly, embodiments of this application provide an electronic device, including: one or more processors;

[0049] A memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are able to implement the steps in the collaborative management method described in any of the preceding claims.

[0050] Fourthly, embodiments of this application provide a computer-readable medium storing a computer program, which, when executed by a processor, can implement the steps of the collaborative management method described in any of the preceding claims.

[0051] This application discloses an intelligent collaborative management method for groundwater resource assessment tasks. Firstly, by establishing and linking a multi-level geographic regional database and a corresponding three-level user system, the method clarifies the responsibilities and spatial relationships among the national, river basin, and provincial levels, laying the organizational foundation for collaborative work. Simultaneously, it constructs a data standardization processing channel, uniformly converting multi-source heterogeneous raw assessment data into standardized computational raster data, solving the fundamental obstacle to data sharing. Based on this, the method automatically identifies potential task duplication through task creation and intelligent distribution steps, and automatically judges based on the aforementioned regional relationships. This triggers collaborative processing logic including direct sharing, scope filtering, or result comparison selection, intelligently avoiding work duplication caused by overlapping management systems. Finally, multi-level review and spatial aggregation ensure the consistency of the final results. This application organically integrates a multi-level collaborative management mechanism with intelligent data preprocessing technology, forming a logically closed-loop online management process. It effectively solves the prominent problems of unclear task boundaries, low collaborative efficiency, difficulty in data sharing, and inconsistencies in aggregation results at different levels in traditional offline work models, significantly improving the overall efficiency and quality of groundwater resource assessment work nationwide. Attached Figure Description

[0052] Figure 1 A schematic diagram of the four-level working mechanism provided in the embodiments of this application;

[0053] Figure 2 A schematic diagram of the core process of a collaborative management method for groundwater resource assessment tasks provided in this application embodiment;

[0054] Figure 3 A schematic diagram of the module structure of a collaborative management system for groundwater resource assessment tasks provided in an embodiment of this application;

[0055] Figure 4 This is a structural block diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0056] To enable those skilled in the art to better understand the technical solutions of this application, exemplary embodiments of this application are described below with reference to the accompanying drawings, including various details of the embodiments of this application to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. Similarly, for clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description. Unless otherwise specified, the various embodiments of this application and the features within those embodiments can be combined with each other.

[0057] As used herein, the term “and / or” includes any and all combinations of one or more of the associated enumerated entries. The terminology used herein is for describing particular embodiments only and is not intended to limit the application. As used herein, the singular forms “a” and “the” are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that when the terms “comprising” and / or “made of” are used in this specification, the presence of the stated features, integrals, steps, operations, elements, and / or components is specified, but the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof is not excluded. Terms such as “connected” or “linked” are not limited to physical or mechanical connections but can include electrical connections, whether direct or indirect.

[0058] Unless otherwise specified, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art. It should also be understood that terms such as those defined in commonly used dictionaries should be interpreted as having the meaning consistent with their meaning in the context of the relevant art and this application, and will not be interpreted as having an idealized or overly formal meaning, unless expressly so defined herein.

[0059] Conducting a national groundwater resource assessment is beneficial for understanding the national groundwater resources, groundwater storage, exploitable groundwater, and the status of groundwater extraction, utilization, and over-extraction. It helps to clarify the water resources inventory and serves national land spatial planning and construction, water security, and the rational development and utilization of water resources.

[0060] Currently, the national groundwater resource assessment work is carried out under the overall coordination of the Ministry of Natural Resources, led by the China Geological Environment Monitoring Institute, with the management agencies of the nine major river basin areas (see Table 1) responsible for carrying out water resource surveys and assessments within their respective areas. The environmental monitoring stations of each provincial-level administrative region support the work of each river basin, and finally, the assessment results of each river basin and each provincial-level administrative region need to be compiled.

[0061] River basins and provincial-level administrative regions are two distinct management systems with overlapping jurisdictions. A river basin may cover multiple provincial-level administrative regions, and a single provincial-level administrative region may contain multiple river basins. During their work, river basins need to communicate and coordinate with multiple provincial-level administrative regions to obtain and summarize the evaluation results from each region. When provincial-level administrative regions cannot meet their needs, river basins must conduct their own evaluations based on their available data. Each provincial-level administrative region needs to meet the data aggregation requirements of multiple river basins, but tasks are generally allocated at the prefecture-level city level, and some data requires data from river basins to ensure consistency with the overall river basin evaluation results. Therefore, they have both a need for data and results sharing and a need to conduct independent surveys and evaluations. Furthermore, provincial-level tasks are not conducive to the aggregation of data from various river basins within their jurisdiction, and river basins find it difficult to compare the differences between provincial-level aggregated data and their own evaluation data, leading to duplication of work and difficulties in maintaining consistency in data aggregation.

[0062] Table 1. Cross-relationship between river basins and provincial-level administrative regions

[0063]

[0064] This application addresses the problems existing in current national groundwater resource assessments, such as the large volume of information, poor visibility, difficulties in sharing and synchronizing operational data, and inconsistencies between provincial and river basin summary results. It proposes an intelligent management method and system for groundwater resource assessment tasks, linking the national, river basin, and provincial levels. (Reference) Figure 1 With the support of the system, a four-level online collaborative work mechanism has been formed, which realizes task allocation, data sharing, evaluation and review confirmation, and result aggregation. It can effectively solve the problems of unclear regional responsibilities, asynchronous information, and inconsistent aggregated results in the two management systems.

[0065] This application proposes a process from a top-down task coordination perspective, including the online distribution, execution, collaboration, review, summary, and task tracking of groundwater resource assessment tasks. It also solves the problems in the traditional offline work mechanism by visually displaying task areas and hierarchical management of permissions.

[0066] From the perspective of the task executor, a process is proposed, including: data preparation, historical data migration, data modification, data integrity, rationality verification, and data parameter balance analysis and adjustment.

[0067] The system defines different permissions based on the responsibilities of the personnel performing the work, further subdividing them into management personnel and ordinary personnel. This ultimately forms a three-level collaborative work method of national overall supervision, river basin implementation management, and provincial and regional execution feedback. The system visualizes the task areas of business personnel at different levels and manages, executes, and supervises tasks through hierarchical permission levels. It also evaluates the scope of work repetition, thus innovatively solving problems such as unclear task boundaries, inefficient progress monitoring, difficulty in real-time information synchronization, and difficulties in data sharing that exist in traditional offline work mechanisms.

[0068] The core idea of ​​this application is as follows: First, to solidify the three-tiered management system of "national-basin-province" and its regional relationships within the system, laying the organizational and spatial foundation for collaboration; second, to establish a standardized data upload, verification, conversion, and storage channel, transforming the chaotic raw data into a unified, organized, and directly computable data base; third, based on clear organizational relationships and a high-quality data base, to design intelligent task distribution and collaborative execution logic, with the system automatically identifying and handling duplicate work issues that may arise due to overlapping management; and finally, to ensure transparent task execution, controllable output quality, and consistent summary results through full-process visual monitoring and multi-level review.

[0069] The intelligent collaborative management system and method for groundwater resource assessment tasks provided in this application aim to construct an online work platform integrating "standardized data management, intelligent task collaboration, and visualized process monitoring." (Reference) Figure 2 and Figure 3 In one embodiment, its specific working method is explained in detail through several coherent implementation scenarios.

[0070] Implementation Scenario 1: System Initialization and Basic Configuration

[0071] Before the system is put into use, basic configuration is required. First, the administrator imports vector boundary data for the entire country, the nine major river basins, 31 provincial-level administrative regions (including autonomous regions and municipalities), and lower-level administrative divisions into the Region and Relationship Management module 101. The core function of the system is to automatically analyze and establish a table of spatial intersections and authority-responsibility relationships between these regions. For example, the system will record spatial overlaps between "Haihe River Basin" and "Beijing, Tianjin, Hebei Province, etc.", and by default associate the management authority-responsibility of the overlapping areas.

[0072] Secondly, in the user and permission management module 102, user accounts are created and roles are assigned according to the actual organizational structure. Roles are divided into three levels: national level (e.g., administrators of the Ministry of Natural Resources), river basin level (e.g., administrators of the Yangtze River Water Resources Commission), and provincial level (e.g., administrators of the Hubei Provincial Institute of Geological Environment Monitoring). Each level is further subdivided into "management users" and "ordinary users." For example, the "Yellow River Conservancy Commission" account is assigned the role of "river basin-level management user," which has the authority to distribute and review tasks; while the accounts of its subordinate technical centers are assigned the role of "river basin-level ordinary user," which only has the authority to upload data and perform calculations. This step solidifies the working mechanism of "national overall supervision, river basin implementation management, and provincial execution feedback."

[0073] This application, through a refined division of permissions, solidifies the three-tiered collaborative work mechanism of "national overall supervision, river basin implementation management, and provincial and regional execution feedback" within the system, ensuring that the rights and responsibilities of all types of users are equal, operations are compliant, and the orderly and secure operation of the entire collaborative management process is guaranteed.

[0074] Implementation Scenario 2: Nationwide Task Creation and Distribution

[0075] After logging into the system, the national administrator enters the task management interface, creates a task named "2024 National Groundwater Resources Assessment," selects all 9 major river basins and 31 provincial-level administrative regions in the task scope selection, and sets the task deadline. After clicking "Submit," the task collaboration management module 105 automatically pushes the task notification to the administrator accounts of the 9 river basin management agencies and the 31 provincial-level technical units based on regional relationships.

[0076] Implementation Scenario 3: Watershed-level Task Collaboration and Decision Making

[0077] After receiving the task from the national government, the Yangtze River Basin Administrator needs to organize and carry out the evaluation work in the basin. The system interface map highlights the Yangtze River Basin area and automatically identifies the task status (such as "not started" or "in progress") of more than 10 provincial-level administrative regions such as Shanghai, Jiangsu, and Zhejiang through the task status perception unit.

[0078] Collaborative Decision-Making: The administrator first needs to decide on the source of the evaluation data. Upon review, it was discovered that Yunnan Province may be unable to conduct the system evaluation this year due to funding issues. At this point, the intelligent decision support unit, based on the status "The Yangtze River Basin is related to Yunnan Province, but Yunnan Province's task is stalled," provides the administrator with the following options: A. Wait for or urge Yunnan Province; B. The Yangtze River Basin conducts its own evaluation of the portion within Yunnan Province. The administrator selects B.

[0079] Intelligent Range Filtering: When an administrator creates a subtask titled "Jinsha River Basin (Secondary Basin)," a general area is selected on the map. The Task Collaboration Management Module 105 immediately activates: it recognizes that the selected area involves both Qinghai and Yunnan provinces. Based on regional relationships and task status (Qinghai province has already conducted evaluations and committed to data sharing, while Yunnan province has not), the system automatically removes the portion belonging to Qinghai province from the selected area, retaining only the Jinsha River Basin area belonging to Yunnan province on the interface map as the valid subtask area.

[0080] The collaborative processing logic transforms management rules into automated decision support functions for the system. Through a progressive process of "shared confirmation - scope filtering - comparison and selection," it respects the evaluation autonomy of each level of unit while intelligently avoiding duplication of work and waste of resources. It ensures that the data source for the final results submitted to the next higher level is unique and that responsibility is clear. This is the core innovation in solving the problem of overlapping management systems.

[0081] Data Upload and Standardization: After receiving the sub-task "Jinsha River Basin (Yunnan Part)," ordinary users in the basin begin preparing data. This requires calculating "rainfall infiltration recharge." The system interface guides them to the upload page of the data standardization processing engine 103. The page clearly displays that this calculation requires two types of data: 1. Rainfall infiltration coefficient zoning map (SHP vector); 2. Annual rainfall isosurface map (TIF raster).

[0082] After a user uploads a shapefile (shp) file, the data identification and verification unit automatically initiates checks: verifying whether the coordinate system is CGCS2000; checking whether the attribute table contains the "infiltration coefficient α" field and whether the value is between 0 and 1; and performing spatial topology checks (e.g., no polygon overlap). If the check fails, the system immediately displays the specific error. After the check passes, the data conversion and publishing unit converts the vector data into raster data with a 1 km resolution in the Asia North Albers Equa1 Area Conic projection coordinate system, stores it in the unified spatial database 104, and automatically publishes it as a map service. The raster data also undergoes a similar checking (value range, accuracy) and conversion (resampling to 1 km) process. Thus, the messy raw data is transformed into standardized "data bricks" with a unified format, accurate location, and direct computational capability.

[0083] By predefined standardized data specifications and automated verification and conversion processes, data from diverse sources and in various formats are transformed into a unified, standardized data base that can be directly used for model calculations. This solves the problems of cumbersome data preprocessing, inconsistent standards, and difficulty in direct sharing and calculation in traditional methods, laying a technical foundation for the collaborative use and automated calculation of multi-source data.

[0084] Implementation Scenario 4: Provincial-level Task Execution and Historical Migration

[0085] Take Hubei Province's implementation of its provincial evaluation tasks as an example.

[0086] Historical Migration: To improve efficiency, users in Hubei Province click the "Data Migration" function. The data migration service module responds to the command, retrieving the unit's evaluation task configuration from the previous year (2023) from the unified spatial database 104. This includes: the boundaries of the county-level evaluation units at that time, the "hilly / plain" type labeled for each unit, and the list of supplementary items selected for each unit (e.g., calculating "rainfall infiltration," "canal irrigation infiltration," and "groundwater evaporation" for "plain unit A"). This configuration information is copied to the 2024 task with a single click, allowing users to fine-tune it, thus saving significant time spent on repetitive configurations.

[0087] By migrating historical task data with a single click, the initial configuration workload for periodic evaluation work is significantly reduced, ensuring the continuity and comparability of evaluation methods and unit divisions across different years, thereby improving work efficiency and the serialization and standardization of evaluation work.

[0088] Evaluation Calculation and Balance Adjustment: After configuring the evaluation units and recharge / discharge items for a specific prefecture / city, the user initiates the calculation. The system calls upon the standardized 1 km raster data corresponding to each recharge / discharge item, performs spatial calculations, and obtains the total recharge and discharge amounts for each unit in that prefecture / city. After the calculation is complete, the evaluation calculation and balance adjustment module 106 automatically performs balance analysis. If the balance difference (recharge - discharge) of a certain plain unit is found to be negative and exceeds the 5% allowable threshold, the system will highlight this and display the calculated values ​​for each recharge / discharge item in a list. If the user finds that the "groundwater extraction volume" is abnormally high, they will check and correct the extraction volume statistics and re-upload them. The system automatically updates the standardized raster data and recalculates until the balance meets the requirements. This process achieves rapid iterative optimization of the calculation.

[0089] This application proceduralizes and makes interactive the traditionally expert-experience-dependent water balance adjustment process. The system automatically diagnoses imbalance problems and assists in locating them, guiding users to make targeted adjustments to data or parameters, forming a rapid iterative closed loop of "calculation-diagnosis-feedback-optimization," thereby improving the rationality and accuracy of the evaluation results in water balance.

[0090] Implementation Scenario 5: Process Monitoring, Review, and Summary

[0091] Visualized Monitoring: Throughout the entire work cycle, national and river basin administrators can view the overall progress in real time through the dashboard of the Visualized Monitoring and Results Summary Module 107. The map uses varying shades of color to indicate the task completion rate of each provincial-level administrative region. Clicking on a specific provincial-level administrative region allows users to view the data upload status of its subordinate cities and prefectures, and even access the data management unit to directly view the evaporation station data curves or groundwater level raster maps uploaded by a particular city online.

[0092] Results Comparison and Review: In the Yellow River Basin, both Shanxi Province and the basin itself conducted independent evaluations of the "Fenhe Basin" area, resulting in two sets of results. During the review, the comparative analysis tool unit of Task Collaboration Management Module 105 was triggered. The system displayed key indicators from both sets of results side-by-side, such as pie charts of replenishment composition, bar charts of discharge volume, and comparisons of equilibrium differences. Based on the comparative analysis, the Yellow River Conservancy Commission administrator selected the result deemed more reasonable (such as the result from Shanxi Province) for confirmation.

[0093] Final Summary: After all river basins have reviewed and confirmed their respective results, they are submitted to the national administrator. In the visualization monitoring and results summary module 107, the national administrator can generate the "National Groundwater Resources Assessment Report (2024)" with one click. The data in the report can be spatially summarized by administrative region (generating data for 31 provincial-level administrative regions) or by river basin (generating data for 9 major river basins), ensuring that the total national amount is consistent with the sum of the individual items.

[0094] This application achieves transparency and visualization in the task management process. Managers can monitor overall and local progress in real time and promptly identify lagging links. At the same time, permission-based data visualization and sharing facilitates mutual understanding of the data foundation and evaluation process among users at all levels, thereby strengthening process supervision and collaborative communication, and changing the problems of information opacity and lagging supervision in traditional offline work models.

[0095] As can be seen from the five interconnected implementation scenarios above, this application deeply couples organizational management mechanisms (multi-level linkage) with technical implementation methods (data-driven intelligent management and intelligent process collaboration). The data standardization engine provides high-quality, interoperable data fuel for the entire collaborative work process; the task collaboration logic, based on clear organizational and spatial relationships, intelligently schedules tasks and avoids conflicts; and the online and visualized nature of the entire process ensures transparency and controllability. The organic combination of these three elements constitutes a complete, self-consistent, and efficient intelligent collaborative management solution, thereby fundamentally changing the traditional offline work model.

[0096] Overall, the advantages of this application compared to the prior art include:

[0097] 1. Solved the problem of overlapping management systems: By digitizing and structuring the three-level organizational structure of "national-basin-province" and its complex spatial relationships in the system, and designing corresponding intelligent collaborative logic (such as sharing, filtering, and comparison), the task boundaries were fundamentally clarified, conflicts of authority and duplication of work were avoided, and efficient collaboration across levels and regions was achieved.

[0098] 2. Achieved standardization and automation of data management: Through predefined data specifications and automated verification and transformation processes, multi-source heterogeneous raw data is efficiently transformed into a unified, high-quality standard data base that can be directly used for model calculations, thereby solving the fundamental obstacles to data sharing and utilization, and significantly improving data preparation efficiency and reliability.

[0099] 3. Enhanced the scientific rigor and transparency of the evaluation process: The system's built-in functions, such as evaluation calculation workflow, historical data migration, and balance analysis and adjustment, standardize evaluation practices and reduce human arbitrariness. Full-process visual monitoring makes task progress, data status, and calculation results readily apparent, strengthening process supervision and management.

[0100] 4. Ensured the consistency and authority of the results: Through a systematic and solidified multi-level review mechanism, especially the mandatory comparison and selection of results from duplicate regions, the uniqueness and logical consistency of the data sources of the final submitted and summarized results were ensured, thereby significantly improving the overall quality and credibility of the national evaluation results.

[0101] Based on the same inventive concept, embodiments of this application also provide an electronic device. Figure 4 This is a structural block diagram of an electronic device provided in an embodiment of this application. Figure 4 As shown in the embodiments of this application, an electronic device includes: one or more processors 501, a memory 502, and one or more I / O interfaces 503. The memory 502 stores one or more programs, which, when executed by the one or more processors, cause the one or more processors to implement any of the collaborative management methods described in the above embodiments; the one or more I / O interfaces 503 are connected between the processor and the memory, configured to enable information interaction between the processor and the memory.

[0102] Among them, processor 501 is a device with data processing capabilities, including but not limited to central processing unit (CPU); memory 502 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory (FLASH); I / O interface (read-write interface) 503 is connected between processor 501 and memory 502, and can realize information interaction between processor 501 and memory 502, including but not limited to data bus (Bus).

[0103] In some embodiments, the processor 501, memory 502, and I / O interface 503 are interconnected via bus 504, and thus connected to other components of the computing device.

[0104] In some embodiments, the one or more processors 501 include a field-programmable gate array.

[0105] This application also provides a computer-readable medium. The computer-readable medium stores a computer program, which, when executed by a processor, implements the steps of any of the cooperative management methods described in the above embodiments. The computer-readable storage medium can be volatile or non-volatile.

[0106] This application also provides a computer program product, including computer-readable code, or a non-volatile computer-readable storage medium carrying computer-readable code. When the computer-readable code is run in the processor of an electronic device, the processor in the electronic device executes the steps in any of the collaborative management methods described above.

[0107] Those skilled in the art will understand that all or some of the steps, systems, and apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software can be distributed on a computer-readable storage medium, which may include computer storage media (or non-transitory media) and communication media (or transient media).

[0108] As is known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information, such as computer-readable program instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), static random access memory (SRAM), flash memory or other memory technologies, portable compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, it is known to those skilled in the art that communication media typically contain computer-readable program instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0109] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0110] The computer program instructions used to perform the operations of this application may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuits, such as programmable logic circuits, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), are personalized by utilizing the status information of the computer-readable program instructions. These electronic circuits can execute the computer-readable program instructions to implement various aspects of this application.

[0111] The computer program product described herein can be implemented specifically through hardware, software, or a combination thereof. In one alternative embodiment, the computer program product is specifically embodied in a computer storage medium; in another alternative embodiment, the computer program product is specifically embodied in a software product, such as a software development kit (SDK), etc.

[0112] Various aspects of this application are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0113] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that, when executed by the processor of the computer or other programmable data processing apparatus, they create means for implementing the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, programmable data processing apparatus, and / or other device to operate in a particular manner; thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0114] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to perform the functions / actions specified in one or more boxes of a flowchart and / or block diagram.

[0115] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0116] Exemplary embodiments have been disclosed herein, and while specific terminology has been used, it is used and should be interpreted only in a general illustrative sense and is not intended to be limiting. In some embodiments, it will be apparent to those skilled in the art that features, characteristics, and / or elements described in conjunction with particular embodiments may be used alone, or in combination with features, characteristics, and / or elements described in conjunction with other embodiments, unless otherwise expressly indicated. Therefore, those skilled in the art will understand that various changes in form and detail may be made without departing from the scope of this application as set forth by the appended claims.

Claims

1. A collaborative management method for groundwater resource assessment tasks, characterized in that, include: The system will integrate multi-level geospatial vector data, including national, river basin, provincial and sub-provincial administrative divisions, and establish spatial intersection and authority-responsibility relationships between regions at each level. The system users are divided into a three-tier system: national, river basin, and provincial. Each user tier is equipped with a data upload and processing unit. The data upload and processing unit is used to receive multi-format raw evaluation data related to groundwater recharge and discharge items uploaded by users, automatically identify and verify the data for standardization, and convert the verified data into standardized calculation raster data and store it. Evaluation tasks covering specific river basins and provinces are created and distributed by national-level management users. After receiving the tasks, river basin-level and provincial-level management users determine whether there are duplicate evaluation tasks for the same geographical area initiated by users at other levels within their jurisdiction based on regional relationships. If there are duplicate evaluation tasks, the system triggers collaborative processing logic, which includes at least one of the following: directly sharing completed evaluation results data, automatically filtering geographical areas covered by other tasks when creating sub-tasks, or comparing and selecting multiple evaluation results generated in the same area; if there are no duplicate evaluation tasks, users at all levels can independently perform groundwater resource evaluation calculations by calling the calculation raster data obtained after the aforementioned standardization processing within their task scope. River basin-level management users review all evaluation results within their jurisdiction and screen and confirm results from overlapping areas; the reviewed and confirmed results are submitted to national-level management users, who then spatially aggregate them by administrative region or river basin to form national and regional evaluation results.

2. The collaborative management method according to claim 1, characterized in that, Converting to standardized computational raster data, specifically including: Based on the groundwater recharge and discharge balance relationship, multiple recharge and discharge items and a set of evaluation parameters corresponding to each recharge and discharge item are predefined; Receive raw data uploaded by users and automatically identify the supplementary items and data types to which the data belongs based on the parameter set. The data types include at least time-series dynamic monitoring data, vector partition data and raster data. For different data types, the corresponding validation rules are invoked to perform standardization checks. The standardization checks include at least one of the following: spatial coordinate system, attribute field integrity, numerical range, and time series continuity. All types of data that pass the verification are uniformly converted into standardized computational raster data with a specified spatial resolution under a preset projection coordinate system and stored.

3. The collaborative management method according to claim 2, characterized in that, The collaborative processing logic specifically includes: When a watershed-level management user confirms the use of evaluation results shared by an associated province, the system automatically marks the standardized calculation raster data and evaluation result data of that province within the watershed as shared data available for the watershed. When a watershed-level management user needs to create a subtask independently, the system automatically removes overlapping areas from the total geographical scope of the subtask defined by the user, where there are already related provinces and regions that have committed to evaluation and are preparing to share data, and generates a net evaluation scope for task creation based on the regional association relationship. When independent evaluation results from both the river basin and related provinces exist simultaneously within the same geographical area, the system extracts and displays the intermediate or final evaluation results of the standardized calculation raster data from both sides, allowing river basin-level management users to conduct comparative analysis and select one as the confirmed result for the region.

4. The collaborative management method according to claim 1, characterized in that, Independent execution of groundwater resource assessment calculations by users at all levels also includes the migration of historical task data, specifically including: In response to the user's instruction to initiate data migration for the current evaluation task, the system automatically extracts the evaluation unit division scheme, landform type identifier, supplementary item setting parameters and / or associated historical standardized calculation raster data from the user-specified historical evaluation tasks, and copies or associates them with the current task.

5. The collaborative management method according to claim 1 or 4, characterized in that, Also includes: The system provides a visual interface for senior users to view the execution progress of tasks of all subordinate users under their jurisdiction in real time; The system visualizes and queries the data generated during task execution, including uploaded raw data, standardized computational raster data, and intermediate calculation results, based on user permissions and regional relationships.

6. The collaborative management method according to claim 1, characterized in that, When users at all levels independently perform groundwater resource assessment calculations, the system provides a balance analysis and adjustment function, specifically including: After the user completes the calculation of each replenishment and discharge volume within the evaluation unit, the system performs a balance calculation based on the difference between the total replenishment and the total discharge volume; If the imbalance exceeds the preset threshold, the system will prompt an imbalance and allow the user to locate the specific supplementary item, readjust the evaluation parameters or standardize the calculated raster data corresponding to that supplementary item, and then re-trigger the calculation until the balance requirements are met.

7. A collaborative management system for implementing the collaborative management method according to any one of claims 1-6, characterized in that, include: The region and relationship management module (101) is used to store multi-level geospatial vector data at the national, river basin, provincial and sub-region levels, and to establish and maintain spatial intersection and rights and responsibilities relationships between regions at each level. The User and Permission Management Module (102) is used to create and authenticate a three-tiered user system at the national, river basin, and provincial levels, and to assign management or ordinary permission roles to users. The data standardization processing engine (103) is used to receive multi-format raw evaluation data uploaded by users, automatically identify and verify the standardization according to the predefined set of supplementary items, and convert the verified data into standardized computational raster data and store it in a unified spatial database (104). A unified spatial database (104) is used for the aforementioned data storage; The task collaboration management module (105) is used to respond to the task creation and distribution instructions of the management user, and intelligently process duplicate evaluation tasks based on the association relationship in the region and relationship management module (101). It includes sub-logic units for realizing data sharing, range filtering or result comparison selection. The evaluation calculation and balance adjustment module (106) is used to provide users with evaluation unit configuration, replenishment and discharge item selection, calculation execution and interactive adjustment functions based on water balance difference; The visualization monitoring and results summary module (107) is used to display task progress, spatial data, and evaluation results in a graphical manner, and provides a multi-level review interface. Finally, it summarizes and generates evaluation results reports at all levels according to spatial scope.

8. The collaborative management system according to claim 7, characterized in that, The data standardization processing engine (103) includes: The rule configuration unit is used to predefine and store the set of evaluation parameters corresponding to groundwater recharge and discharge items, as well as the verification rules for different data types; The data identification and verification unit is used to automatically classify the received uploaded data and call the corresponding verification rules to perform standardization checks. The data conversion and publishing unit is used to convert the verified vector, raster, and time series data into standardized computational raster data with specified projection and resolution, and then store them in a unified spatial database (104), and generate map services for visualization.

9. The collaborative management system according to claim 7, characterized in that, The task collaboration management module (105) includes: The task status awareness unit is used to track the geographical scope, execution status, and data sharing intentions of each task in real time. The intelligent decision support unit is used to automatically recommend collaborative strategies based on regional associations and information from the task status perception unit when managing users to perform task operations. The collaborative strategies include direct sharing, range filtering, or initiating comparison. The comparative analysis tool unit is used to extract and visualize key data and results when multiple results exist in the same area, assisting management users in making selections.

10. The collaborative management system according to claim 7, characterized in that, Also includes: Data migration service module; The data migration service module is connected to the unified spatial database (104) and the evaluation calculation and balance adjustment module (106). It is used to respond to the migration instructions from the evaluation calculation and balance adjustment module (106), retrieve the specified historical task data from the unified spatial database (104), including evaluation unit configuration, supplementary arrangement item settings and related standardized calculation grid data identifiers, and associate or copy them to the current task.

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