Water budget intelligent compilation and execution management and control method and system based on water main body image

Abstract

This invention relates to a method and system for intelligent water budget preparation and execution control based on water user profiles, belonging to the field of water resources management. Addressing the problems of existing water budget management systems, such as difficulty in data integration, lack of quantitative support for water use characteristics, reliance on experience in budget preparation, lagging monitoring, and fragmented control, this invention collects heterogeneous data from multiple sources, including water withdrawal permits, direct water use reporting, metering monitoring, and planned water use, and cleans, merges, and stores this data uniformly. It extracts static and dynamic behavioral tags from water users to construct dynamically updated water user profiles; calculates and verifies water budget quotas by combining industry water use quotas and regional water use control limits; acquires actual water use data in real time and compares it with the verified quotas to calculate execution deviations; quantitatively assesses and classifies risk levels for water users, management departments, and regions; and drives adjustments, rectification, and final settlement linkage based on early warning and differentiated strategies to form a closed-loop control system. This invention improves the scientific nature of water budget preparation, the real-time nature of monitoring, and the level of refined control.

Description

Technical Field

[0001] This invention relates to the field of water resource management technology, specifically to a method and system for intelligent water budget preparation and execution control based on water user profiles. Background Technology

[0002] The rigid water resource constraint system and the dual control system for total water consumption and water intensity have been fully implemented nationwide. Water budgeting, drawing on the fiscal budget management model, is a management tool for planning, controlling, and evaluating the total water consumption of water-using units and regions. It runs through the entire process of budget preparation, quota allocation, execution supervision, dynamic adjustment, and final account assessment, and is a crucial tool for implementing the "Four Waters, Four Fixed Points" water management principle, standardizing water use behavior, and optimizing water resource allocation. With the advancement of water conservancy informatization, water budget management has gradually shifted from manual ledger management to information-based management. However, existing water budget management systems still have many shortcomings in data integration, compilation methods, execution monitoring, and risk management, making it difficult to meet the requirements of refined management under the rigid constraints of water resources.

[0003] However, the existing water budget management system still has the following shortcomings: First, data integration capabilities are weak, and the problem of data silos is prominent. Existing systems typically only connect to a single or a few data sources, and various water business data are scattered across different platforms. Budget preparation requires staff to manually summarize data across platforms, which is inefficient, has a high error rate, and a long preparation cycle, making it difficult to support efficient preparation and accurate management of water budgets.

[0004] Second, there is a lack of quantitative characterization of water use characteristics of water users, resulting in insufficient basis for supervision and calculation. The existing system has not established a quantitative characterization mechanism for the water use patterns, water use stability, and compliance capabilities of water users. Budget calculation and water use supervision lack personalized and differentiated data support, making it difficult to achieve refined management and control.

[0005] Third, the budget preparation model is crude, and the quota calculation relies on manual experience. Existing systems mostly use fixed templates for filling in data and simply adding or subtracting historical data. The calculation results deviate significantly from the actual water demand, which easily leads to problems such as idle budgets, over-budget water use, and repeated adjustments, resulting in low water resource utilization efficiency.

[0006] Fourth, budget execution monitoring is lagging and risk early warning capabilities are insufficient. Existing systems mainly rely on post-event data aggregation and final account statistics, and only support static ledger queries. Risks such as over-budget water withdrawal and execution delays depend on regular manual checks, resulting in delayed early warnings and coarse-grained control, making it difficult to achieve pre-event prevention and in-event intervention.

[0007] Fifth, the management processes are fragmented and lack closed-loop control throughout the entire process. The existing system's budget preparation, execution monitoring, risk warning, budget adjustment, and final account assessment are independent of each other and lack coordination. Early warning and response rely on manual intervention, making it difficult to achieve closed-loop management of the entire water budget lifecycle.

[0008] In summary, existing water budget management technologies have shortcomings in areas such as multi-source data integration, water use characteristic quantification, intelligent budget preparation, real-time monitoring and early warning, and closed-loop management, failing to meet the needs of refined and intelligent water budget management under rigid water resource constraints. Therefore, there is an urgent need for a water budget management solution that integrates intelligent preparation, dynamic execution monitoring, and closed-loop risk management. Summary of the Invention

[0009] To address the shortcomings of existing technologies, this invention provides a method and system for intelligent water budget preparation and execution control based on water user profiles. It aims to solve the technical problems in existing water budget management, such as difficulties in integrating multi-source data, lack of quantitative support for water user characteristics, reliance on manual experience in budget preparation, lagging budget execution monitoring, and fragmentation of control links.

[0010] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention discloses a method for intelligent water budgeting and execution control based on water user profiles, comprising the following steps: Collect multi-source heterogeneous data, including water withdrawal permit data, water use direct reporting data, metering and monitoring data, and planned water use data; clean, merge, and uniformly store the multi-source heterogeneous data; Based on the unified storage of multi-source heterogeneous data, static attribute tags and dynamic behavior tags of water users are extracted to construct and dynamically update the profile of water users. Based on the water user profile, industry water quotas, and regional water consumption control limits, the water budget for each water user is automatically calculated and verified. The actual water consumption data of the water user is acquired in real time, and the actual water consumption data is compared with the approved water budget to calculate the water budget execution deviation. Based on the water budget execution deviation and the water user profile, risk quantification assessments are conducted for water users, management departments, and regions, and risk levels are classified. Early warning information and differentiated control strategies are generated according to the risk levels, and water budget adjustments, problem rectification, and final account assessments are carried out in a coordinated manner.

[0011] Furthermore, the process of collecting multi-source heterogeneous data and cleaning, fusing, and uniformly storing the multi-source heterogeneous data includes: classifying and splitting the collected multi-source heterogeneous data, cleaning the data, deduplicating and completing it, and aligning the entities according to a preset association and binding relationship, and then merging the data into the individual database of water users, the regional summary database, the watershed summary database, and the management department's business database, respectively.

[0012] Furthermore, the extraction of static attribute tags and dynamic behavior tags of water users includes: retrieving a preset tag rule library, reading static attribute tags from the profile information of water users, and automatically calculating and generating dynamic behavior tags based on the unified stored multi-source heterogeneous data and time-series operation data; wherein, the static attribute tags are manually maintained and updated by the administrator, the dynamic behavior tags are automatically updated incrementally, and the water user profile is linked with the metering and monitoring data for traceability throughout the entire process.

[0013] Furthermore, the water user profile includes profiles of water users with self-supplied water sources, profiles of water users with piped networks, and comprehensive regional profiles.

[0014] Furthermore, the automatic calculation and generation of water budget quotas for water users includes: retrieving complete profile data of the corresponding water user, industry water quotas, and regional water total control limits; displaying the water user's historical water usage data and annual water budget execution data; generating an annual water budget benchmark quota according to a preset calculation model; and having the water user confirm the water budget data online and the management department verify the water budget data online.

[0015] Furthermore, the real-time acquisition of actual water consumption data of water users and calculation of water budget execution deviation includes: real-time connection to water metering terminals, synchronization of actual water consumption, automatic calculation of water budget execution rate and water budget debt ratio, marking of abnormal data exceeding preset deviation thresholds, and generation of dynamic ledger of water budget execution.

[0016] Furthermore, the step of conducting risk quantification assessments and classifying risk levels for water users, management departments, and regions includes: calling a preset scoring model to quantify and score water users, management departments, and regions, and classifying risk levels into three levels: red, yellow, and blue; the preset scoring model includes a water user water intake behavior characteristic model, a water intake and water use management department management characteristic model, and a regional / watershed water intake and water use management assessment model.

[0017] Furthermore, it also includes: based on the aforementioned red, yellow, and blue three-level risk levels, conducting cross-level risk linkage analysis on micro-level water users, meso-level management departments, and macro-level regions, and outputting differentiated control strategies based on the linkage analysis results.

[0018] Secondly, the present invention also provides a water budget intelligent compilation and execution control system based on water user profiles, characterized in that it includes: A multi-source data aggregation unit is used to collect multi-source heterogeneous data and clean, fuse and uniformly store the multi-source heterogeneous data, including water withdrawal permit data, water use direct reporting data, metering and monitoring data and planned water use data. The water user profile building unit is used to extract static attribute tags and dynamic behavior tags of water users based on the multi-source heterogeneous data uniformly stored by the multi-source data aggregation unit, and to build and dynamically update the water user profile. The intelligent water budgeting unit is used to automatically calculate and generate the water budget amount for the water user based on the water user profile, industry water quota, and regional water total control limit, and to verify the water budget amount. The water budget execution dynamic monitoring unit is used to acquire the actual water consumption data of the water user in real time, compare the actual water consumption data with the approved water budget amount, and calculate the water budget execution deviation. The risk warning and closed-loop management unit is used to conduct risk quantification assessments and classify risk levels for water users, management departments and regions based on the water budget execution deviation and the water user profile. It generates warning information and differentiated management strategies according to the risk levels, and coordinates the completion of water budget adjustments, problem rectification and final account assessment. The human-computer interaction unit is used to visualize the processing results of the multi-source data aggregation unit, the water user profile construction unit, the intelligent water budget preparation unit, the water budget execution dynamic monitoring unit, and the risk warning and closed-loop management unit.

[0019] Furthermore, the risk warning and closed-loop management unit is also used to automatically collect the annual water budget amount, the annual real-time actual water withdrawal data, and the water budget adjustment approval records after the end of a single budget year. It summarizes and generates the annual final accounts basic data table according to the water user and district / county dimensions, and archives the annual final accounts report, metering and monitoring raw data, and annual performance evaluation of water user profiles into the permanent water withdrawal budget electronic ledger. All archived data retains the traceability link and cannot be tampered with.

[0020] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) Automatic aggregation of multi-source data reduces workload and increases efficiency. The system automatically collects and integrates multi-source heterogeneous data such as water withdrawal permit data, water use direct reporting data, metering and monitoring data, and planned water use data, and completes cleaning, fusion and unified storage. There is no need for staff to manually summarize data across platforms, which effectively reduces the workload of grassroots staff and improves data accuracy and budget preparation efficiency.

[0021] (2) Personalized budget calculation driven by profiles improves the rationality of the budget. By extracting static attribute tags and dynamic behavior tags, the profile of water users is constructed and dynamically updated. Combined with industry water quotas and regional water total control limits, the water budget is automatically calculated so that the budget is in line with the actual water use patterns of water users, reducing problems such as idle budget, over-budget water use and repeated adjustments, and improving the efficiency of water resource utilization.

[0022] (3) Real-time monitoring and proactive risk prevention. Real-time acquisition of actual water usage data and comparison with the approved water budget amount, automatic calculation of water budget execution deviation, and real-time linkage between water usage data and budget execution data. Management personnel can intervene and handle the situation immediately, realizing the transformation from post-event verification to pre-event warning and in-event control.

[0023] (4) Multi-level risk classification and differentiated management. Risk quantification assessments are conducted for water users, management departments and regions respectively, and risk levels are classified. Differentiated management strategies are output, and graded responses and differentiated treatments are implemented for management objects at different risk levels to avoid "one-size-fits-all" management.

[0024] (5) Closed-loop management throughout the entire process. Early warning information and differentiated control strategies drive the coordinated execution of water budget adjustments, problem rectification and final account assessment, realize the data connection and automatic linkage of budget preparation, verification, monitoring, adjustment and final account assessment, reduce manual intervention, form an integrated closed-loop process of intelligent preparation, verification, dynamic monitoring, budget adjustment and final account assessment, and promote the transformation of water budget management from a manual extensive mode to a digital, intelligent and refined mode. Attached Figure Description

[0025] Figure 1 This is a system block diagram of the intelligent water budgeting and execution control system based on water user profiles, according to an embodiment of the present invention. Figure 2 This is a flowchart illustrating the intelligent water budgeting and execution control method based on water user profiles according to an embodiment of the present invention. Figure 3 This is a schematic diagram illustrating the association relationship of water user portrait data in an embodiment of the present invention. Detailed Implementation

[0026] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0027] To make the objectives, technical solutions, and advantages of the present invention clearer, the specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0028] like Figure 1As shown, this embodiment provides a water budget intelligent compilation and execution control system based on water user profiles, including a multi-source data aggregation unit, a water user profile construction unit, a water budget intelligent compilation unit, a water budget execution dynamic monitoring unit, a risk warning and closed-loop control unit, and a human-computer interaction unit.

[0029] The multi-source data aggregation unit is used to collect multi-source heterogeneous data and clean, merge, and store the multi-source heterogeneous data in a unified manner. The multi-source heterogeneous data includes water withdrawal permit data, water use direct reporting data, metering and monitoring data, and planned water use data.

[0030] Specifically, the multi-source data aggregation unit connects all data sources, including water resource monitoring points and water intake meters, to the system platform, maintaining basic information such as monitoring equipment information, water intake permit information, water consumption quota parameters, and regional water consumption control indicators. The front-end monitoring terminals and business databases continuously transmit structured and semi-structured raw data to the system platform via interfaces. Based on configured associations and bindings, the collected data is categorized, split, cleaned, deduplicated, completed, and entity aligned, then aggregated into individual water user databases, regional summary databases, watershed summary databases, and management department business databases, achieving unified storage of multi-source data. Through this process, multi-source heterogeneous data scattered across different platforms is automatically aggregated and stored uniformly, eliminating the need for manual cross-platform aggregation by staff. This effectively reduces the workload of grassroots personnel, improves data accuracy and processing efficiency, and provides a unified and clean data foundation for subsequent profile construction and water budget calculation.

[0031] The water user profile building unit is connected to the multi-source data aggregation unit. It is used to extract static attribute tags and dynamic behavior tags of water users based on the multi-source heterogeneous data uniformly stored by the multi-source data aggregation unit, and to build and dynamically update the water user profile.

[0032] Specifically, the user profile building unit retrieves a preset tag rule library, which stores tag generation rules. Each rule includes triggering conditions and corresponding tags. For example, "monthly average water consumption is 120% higher than the industry average" triggers the "high water consumption" tag, "water consumption fluctuation rate is higher than a preset threshold" triggers the "unstable water consumption" tag, and "budget not exceeded for two consecutive years" triggers the "good performance" tag. The system matches the collected data with the triggering conditions of each rule. If the match is successful, the corresponding static or dynamic tag is generated. The user profile building unit reads static attribute tags from the user's profile information, such as the user's industry category, water permit type, water use, and region. It also automatically calculates and generates dynamic behavior tags based on the unified stored multi-source heterogeneous data and time-series operation data, such as monthly average water consumption, water consumption fluctuation rate, seasonal water consumption characteristics, and budget execution status over the years. In this system, static attribute tags are manually maintained and updated by the administrator when they change, while dynamic behavior tags are automatically updated incrementally with monitoring data. The profile data is linked to metering and monitoring data throughout the entire process for traceability; that is, each dynamic tag in the profile can be traced back to the corresponding underlying metering and monitoring data. The water user profile construction unit integrates all feature tags to generate profiles of self-supplied water users, pipe network water users, and regional comprehensive profiles. Through the combined extraction of static attribute tags and dynamic behavior tags, and an incremental update mechanism, a dynamic quantitative characterization of the water user's water usage characteristics and compliance capabilities is achieved. Furthermore, the profile data is traceable to the underlying metering and monitoring data, ensuring the authenticity and reliability of the profile data and providing personalized quantitative basis for water budget calculation and differentiated supervision.

[0033] In this application, "water user profile" refers to a set of feature tags formed based on the basic information and behavioral data of water users. This includes individual-level profiles of self-supplied water users, piped water users, and regional comprehensive profiles. The water user profile changes dynamically with updates to the underlying metering and monitoring data, serving as the fundamental data source for water budget calculation, risk assessment, and differentiated regulation. Figure 3 As shown, the data sources for the water user profile (taking water users as an example) in this embodiment include two categories: first, static attribute data, such as water withdrawal permit information, construction project information, industry affiliation, water source information, and metering facility information; second, dynamic behavioral data, such as water withdrawal records, metering facility verification / replacement / failure events, water withdrawal exceeding the permitted limit events, and water resource fee payment events. The above data are aligned and linked through unified identifiers such as water withdrawal permit numbers and water right holder codes, collectively forming a complete profile for water users, providing quantitative basis for benchmark calculation of water budget amounts, monitoring of execution deviations, and risk quantification assessment.

[0034] The intelligent water budgeting unit is connected to the water user profile building unit to automatically calculate and generate the water budget amount for each water user based on the water user profile, industry water quotas, and regional water consumption control limits, and to verify the water budget amount.

[0035] Specifically, the intelligent water budgeting unit retrieves complete profile data of the corresponding water user, industry water consumption quotas, and regional water consumption control limits. It displays the water user's historical water consumption data and annual water budget execution data, and generates an annual water budget benchmark amount according to a preset calculation model. The water user confirms the water budget data online, and the management department verifies the water budget data online. The verified water budget amount serves as the comparison benchmark for subsequent execution monitoring. By incorporating the water user profile, industry water consumption quotas, and regional water consumption control limits into a unified calculation logic, the calculated water budget amount not only reflects the actual water consumption patterns of the water user but also does not exceed regional rigid constraints, reducing budget idleness, over-budget water consumption, and repeated adjustments, thereby improving water resource utilization efficiency.

[0036] The dynamic monitoring unit for water budget execution is used to acquire actual water consumption data from water users in real time, compare the actual water consumption data with the approved water budget, and calculate the deviation in water budget execution. Specifically, the dynamic monitoring unit connects to the water metering terminal in real time, synchronizes the actual water consumption, automatically calculates the water budget execution rate and water budget debt ratio, marks abnormal data exceeding the preset deviation threshold, and generates a dynamic ledger for water budget execution. By acquiring actual water consumption data in real time and comparing it with the approved water budget, abnormal water consumption exceeding the deviation threshold can be detected in a timely manner. The generated dynamic ledger for water budget execution allows management personnel to intervene and handle the situation immediately, realizing a shift from post-event verification to pre-event warning and in-event control.

[0037] The risk early warning and closed-loop management unit is connected to the water budget execution dynamic monitoring unit and the water user profile construction unit. Based on water budget execution deviations and water user profiles, it performs quantitative risk assessments and classifies risk levels for water users, management departments, and regions. Based on the risk levels, it generates early warning information and differentiated management strategies, and coordinates water budget adjustments, problem rectification, and final account assessments. Specifically, the risk early warning and closed-loop management unit calls a preset scoring model to quantitatively score water users, management departments, and regions, classifying risk levels into red, yellow, and blue levels. The preset scoring model includes a water user water intake behavior characteristic model, a water intake and management department management characteristic model, and a regional / watershed water intake and management assessment model, used to perform quantitative risk assessments for water users, management departments, and regions, respectively. Based on the risk level, it pushes early warning information and management suggestions to users with corresponding permissions. Subsequently, based on the red, yellow, and blue risk levels, it conducts cross-level risk linkage analysis of micro-level water users, meso-level management departments, and macro-level regions, and outputs differentiated management strategies based on the linkage analysis results. By conducting multi-level quantitative assessments and risk classifications targeting water users, management departments, and regions, we can achieve quantitative risk classification and differentiated handling, avoiding a "one-size-fits-all" approach to control. Furthermore, by using early warning information and differentiated control strategies, we can drive the coordinated implementation of water budget adjustments, problem rectification, and final account assessments, forming a closed-loop management system for the entire water budget process.

[0038] In this application, each model in the pre-set scoring model quantifies and scores based on different evaluation dimensions: the water user water withdrawal behavior characteristic model scores the water user's water withdrawal behavior based on the water user's dynamic behavior tags (e.g., average monthly water withdrawal, water usage fluctuation rate, seasonal water usage characteristics, and historical water budget execution status) and historical water withdrawal compliance records; the water withdrawal management department management characteristic model scores the management department's control effectiveness based on the timeliness of budget approval, the overall compliance rate of water users in the jurisdiction, and the rectification implementation rate; the regional / basin water withdrawal management assessment model scores the overall management risk of the region / basin based on the total execution status in the regional aggregated data, the risk aggregation results of water users in the region, and the basin control indicators. After quantifying and scoring the above three levels of control objects, the comprehensive score is compared with the pre-set classification threshold. The higher the comprehensive score, the greater the risk: a comprehensive score of 80 or above is judged as a red risk level, a comprehensive score of 60 or above but below 80 is judged as a yellow risk level, and a comprehensive score below 60 is judged as a blue risk level. Each model's score can be obtained by weighting and summing the scores of its various assessment dimensions according to preset weights. For example, the score of the water user's water withdrawal behavior characteristic model is obtained by weighting and summing the scores of water use volatility dimension, compliance record dimension, etc.; the regional score of the regional / basin water use management assessment model can be obtained by weighting and aggregating the risk scores of each water user in the region according to the proportion of water withdrawal, and adjusting it in combination with the regional total implementation status; all weights and aggregation coefficients are preset by the management department according to the control priorities.

[0039] The human-computer interaction unit connects to the data of the aforementioned units and is used to visualize the processing results of the multi-source data aggregation unit, the water user profile construction unit, the intelligent water budget preparation unit, the water budget execution dynamic monitoring unit, and the risk warning and closed-loop management unit. It presents data reports, water user profiles, water budget ledgers, early warning information, and management recommendations to users with different access levels. Through this visualization for users with varying access levels, managers and water users can intuitively grasp the data reports, water user profiles, water budget ledgers, and early warning information, improving information acquisition efficiency and management response speed.

[0040] As a preferred embodiment of this practice, the risk warning and closed-loop management unit is also used to automatically collect the annual water budget amount, real-time actual water withdrawal data, and water budget adjustment approval records after the end of a single budget year. It then summarizes these data into an annual final accounts basic data table based on water user entities and district / county dimensions. The annual final accounts report, raw metering and monitoring data, and annual performance evaluation data of water user profiles are archived to a permanent electronic ledger for water withdrawal budgets. All archived data retains a traceability link and is tamper-proof. Through the automatic collection and unified archiving of annual final accounts data, the orderly accumulation and multi-condition retrieval and reuse of final accounts data are achieved. Furthermore, traceability link management ensures that archived data is traceable and tamper-proof, providing reliable data support for annual performance evaluation and subsequent annual budget preparation.

[0041] like Figure 2 As shown, this embodiment provides a method for intelligent water budget preparation and execution control based on water user profiles. The method can be executed by the system described in the above embodiment and includes the following steps: Step one involves collecting multi-source heterogeneous data, including water abstraction permit data, direct water use reporting data, metering and monitoring data, and planned water use data. This data is then cleaned, merged, and stored uniformly. Specifically, all data sources, such as water resource monitoring points and water intake meters, are connected to the system platform. Basic information maintenance is completed, including basic information on monitoring equipment, water abstraction permits, water use quota parameters, and regional water use control indicators. Structured and semi-structured raw data are continuously transmitted to the system platform from front-end monitoring terminals and business databases via interfaces. Based on configured associations and bindings, the collected data is categorized, split, cleaned, deduplicated, completed, and entity aligned, and then aggregated into individual water user databases, regional summary databases, watershed summary databases, and management department business databases. This step achieves automatic aggregation and unified storage of multi-source data, avoiding manual cross-platform aggregation and improving data accuracy and budget preparation efficiency.

[0042] Step two involves extracting static attribute tags and dynamic behavior tags from the unified, stored multi-source heterogeneous data to construct and dynamically update the water user profile. Specifically, a preset tag rule library is retrieved (the specific implementation of the tag generation rules in this rule library is described in the system embodiment above). Static attribute tags are read from the water user's profile information, and dynamic behavior tags are automatically calculated and generated based on the unified, stored multi-source heterogeneous data and time-series operational data. Static attribute tags are manually maintained and updated by the administrator, while dynamic behavior tags are automatically updated incrementally. The profile data is linked to metering and monitoring data for traceability throughout the process. After integrating all feature tags, profiles of self-supplied water users, pipeline network users, and regional comprehensive users are generated respectively. For example, if the dynamic behavior tag of a water user shows that its water consumption exhibits significant seasonal fluctuations (summer water consumption is significantly higher than winter water consumption), this feature will be used as the basis for calculating the monthly water budget, ensuring that the calculated budget aligns with the actual water consumption patterns of the water user. This step, through the combined extraction and incremental updating of static attribute tags and dynamic behavior tags, achieves a dynamic quantitative characterization of the water user's water consumption characteristics, providing a personalized quantitative basis for water budget calculation.

[0043] Step 3: Based on the water user profile, industry water quotas, and regional water consumption control limits, the system automatically calculates and generates the water budget for each water user, and then verifies the water budget. Specifically, it retrieves the complete profile data, industry water quotas, and regional water consumption control limits for the corresponding water user, displays the user's historical water consumption data and annual water budget execution data, and generates an annual water budget benchmark amount according to a preset calculation model. For example, the preset calculation model uses the user's average actual water consumption over the past three years as the base, verifies and corrects it based on industry water quotas, and is constrained by the regional water consumption control limits to generate an annual water budget benchmark amount. This amount is then broken down into monthly amounts based on the seasonal water consumption characteristics in the profile. Subsequently, the water user logs into the system, refers to historical water consumption data and the water budget benchmark amount, and manually fills in the actual declared value based on their actual production and operation water needs. After submission, the system locks the data, completing the confirmation of the current water budget data. The management department queries and verifies the water budget declaration data of each water user. If the review fails, the data is returned to the water user for resubmission. If the review is successful, the annual water budget for that water user is officially verified. This step ensures that the calculated water budget aligns with the actual water usage patterns of the water users and is subject to regional water consumption control, thereby reducing idle quotas and over-budget water use and improving the rationality of quota calculation.

[0044] Step four involves acquiring real-time actual water consumption data from water users, comparing this data with the approved water budget, and calculating the water budget execution deviation. Specifically, this involves real-time connection to water metering terminals to synchronize actual water consumption, automatically calculating the water budget execution rate and water budget debt ratio, marking abnormal data exceeding preset deviation thresholds, and generating a dynamic ledger of water budget execution. This step enables real-time quantification of water budget execution deviations, providing data support for anomaly warnings and rapid response, and improving the timeliness of execution supervision.

[0045] It should be noted that in this application, "water budget execution rate" refers to the ratio of actual water consumption in the current period to the approved water budget, used to characterize the progress of water budget usage; "water budget debt ratio" refers to the proportion of used water budget to the approved water budget, used to characterize the degree of water budget consumption. The preset deviation threshold can be set by the management department according to control needs, for example, set to 10%. When actual water consumption exceeds the planned amount for the corresponding time node of the approved water budget by 10%, it is marked as abnormal data and an early warning is triggered. Management personnel can intervene immediately, realizing a shift from post-event verification to pre-event warning and in-event control.

[0046] Step five involves conducting quantitative risk assessments and classifying risk levels for water users, management departments, and regions based on water budget execution deviations and user profiles. Early warning information and differentiated control strategies are generated according to these risk levels, and water budget adjustments, problem rectification, and final account assessments are coordinated. Specifically, a pre-set scoring model is used to quantitatively score water users, management departments, and regions, classifying risk levels into red, yellow, and blue. The pre-set scoring model includes a water user behavior characteristic model, a water use management department management characteristic model, and a regional / watershed water use management assessment model, used to conduct quantitative risk assessments for water users, management departments, and regions, respectively. Subsequently, based on the red, yellow, and blue risk levels, cross-level risk linkage analysis is conducted for micro-level water users, meso-level management departments, and macro-level regions, and differentiated control strategies are output based on the analysis results. This step, through multi-level quantitative assessment and risk classification, achieves graded risk response and differentiated handling, improves control granularity, and provides quantitative basis for subsequent early warning and closed-loop handling.

[0047] In this application, each model in the pre-set scoring model quantifies and scores based on different evaluation dimensions: the water user water withdrawal behavior characteristic model scores the water user's water withdrawal behavior based on the water user's dynamic behavior tags (e.g., average monthly water withdrawal, water usage fluctuation rate, seasonal water usage characteristics, and historical water budget execution status) and historical water withdrawal compliance records; the water withdrawal management department management characteristic model scores the management department's control effectiveness based on the timeliness of budget approval, the overall compliance rate of water users in the jurisdiction, and the rectification implementation rate; the regional / basin water withdrawal management assessment model scores the overall management risk of the region / basin based on the total execution status in the regional aggregated data, the risk aggregation results of water users in the region, and the basin control indicators. After quantifying and scoring the above three levels of control objects, the comprehensive score is compared with the pre-set classification threshold. The higher the comprehensive score, the greater the risk: a comprehensive score of 80 or above is judged as a red risk level, a comprehensive score of 60 or above but below 80 is judged as a yellow risk level, and a comprehensive score below 60 is judged as a blue risk level. Each model's score can be obtained by weighting and summing the scores of its various assessment dimensions according to preset weights. For example, the score of the water user's water withdrawal behavior characteristic model is obtained by weighting and summing the scores of water use volatility dimension, compliance record dimension, etc.; the regional score of the regional / basin water use management assessment model can be obtained by weighting and aggregating the risk scores of each water user in the region according to the proportion of water withdrawal, and adjusting it in combination with the regional total implementation status; all weights and aggregation coefficients are preset by the management department according to the control priorities.

[0048] It should be noted that, in this application, "cross-level risk linkage analysis" refers to aggregating the risk characteristics of micro-level water users upwards to participate in the comprehensive assessment of meso-level management departments and macro-level regions, thereby realizing the transmission of the impact of lower-level risks on the results of higher-level assessments. For example, when multiple water users in a certain area simultaneously exhibit red risks, the regional risk score of the regional comprehensive assessment model is adjusted upwards accordingly, triggering a red alert at the regional level.

[0049] In this application, "differentiated management and control strategy" refers to personalized management and control recommendations generated for different risk levels and different levels of management targets. For example, for water users at the red risk level, the recommendation is to "suspend new water withdrawal approvals and rectify within a specified period"; for water users at the yellow risk level, the recommendation is to "restrict water withdrawals exceeding the budget and increase monitoring frequency"; and for water users at the blue risk level, the recommendation is to "continuous monitoring and reminders". The system pushes early warning information and differentiated management and control strategies based on the risk level, and coordinates water budget adjustments, problem rectification, and final account assessment to form a closed-loop management system. The problem rectification process is as follows: the system pushes the water users corresponding to the red risk level and their problem list to the management department; the management department issues rectification requirements and sets rectification deadlines in the system; the water users report rectification progress and submit rectification results in the system on schedule; the management department verifies and accepts the rectification results, closes the problem after acceptance, and returns it for further rectification if acceptance fails; the data of the entire rectification process is stored in the system as the basis for subsequent assessment and evaluation.

[0050] Step Six: After the end of a single budget year, the system automatically collects the annual water budget amount, real-time actual water withdrawal data, and water budget adjustment approval records. It then summarizes the total annual water budget, actual annual water consumption, total water budget execution deviation, and surplus data by water user and district / county, automatically generating the annual final accounts basic data table. After the final accounts are approved, the annual final accounts report, raw metering and monitoring data, and annual performance evaluation data for water user profiles are uniformly archived into the permanent electronic ledger of the water withdrawal budget. This allows for multi-condition searching, exporting, and printing by year, water user, and region. This step achieves orderly archiving and traceable management of final accounts data, providing reliable data support for annual performance evaluation and subsequent budget preparation.

[0051] It should be noted that, in this application, "immutable" means that the archived data is managed through version records and traceability links in the electronic ledger database. Every data change retains operation records and data source links, ensuring that the archived data is traceable, verifiable, and non-repudiable. All archived data retains traceability links and is tamper-proof.

[0052] As can be seen from the above specific implementation methods, the present invention provides personalized quantitative basis for water budget calculation by profiling water users, so that the budget is consistent with the actual water use patterns of water users; it achieves proactive risk prevention and graded handling through real-time deviation calculation and multi-level risk assessment; and it achieves closed-loop management of the entire life cycle of water budget through the coordinated execution of each link.

[0053] The above are merely preferred embodiments of the present invention and do not constitute any limitation on the technical scope of the present invention. Therefore, any minor modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention shall still fall within the scope of the technical solution of the present invention.

Claims

1. A water budgeting intelligent compilation and execution control system based on water user profiles, characterized in that, include: A multi-source data aggregation unit is used to collect multi-source heterogeneous data and clean, fuse and uniformly store the multi-source heterogeneous data, including water withdrawal permit data, water use direct reporting data, metering and monitoring data and planned water use data. The water user profile construction unit is used to retrieve a preset tag rule library based on the multi-source heterogeneous data uniformly stored by the multi-source data aggregation unit, read static attribute tags from the water user's profile information, and automatically calculate and generate dynamic behavior tags based on the uniformly stored multi-source heterogeneous data and time-series operation data; wherein, the static attribute tags are manually maintained and updated by the administrator, the dynamic behavior tags are automatically updated incrementally, and the water user profile is linked with the metering and monitoring data for traceability throughout the entire process; The intelligent water budgeting unit is used to automatically calculate and generate the water budget amount for the water user based on the water user profile, industry water quota, and regional water total control limit, and to verify the water budget amount. The water budget execution dynamic monitoring unit is used to acquire the actual water consumption data of the water user in real time, compare the actual water consumption data with the approved water budget amount, and calculate the water budget execution deviation. The risk warning and closed-loop management unit is used to conduct risk quantification assessments and classify risk levels for water users, management departments, and regions based on the water budget execution deviation and the water user profile. It generates early warning information and differentiated management strategies according to the risk levels, and coordinates the completion of water budget adjustments, problem rectification, and final account assessment. After the end of a single budget year, it automatically collects the annual water budget amount, the annual real-time actual water withdrawal data, and water budget adjustment approval records. It summarizes and generates an annual final account basic data table by water user and district / county. It archives the annual final account report, metering and monitoring raw data, and annual performance evaluation of water user profiles to the permanent water withdrawal budget electronic ledger. All archived data retains traceability links and is tamper-proof. The human-computer interaction unit is used to visualize the processing results of the multi-source data aggregation unit, the water user profile construction unit, the intelligent water budget preparation unit, the water budget execution dynamic monitoring unit, and the risk warning and closed-loop management unit.

2. A method for intelligent water budget preparation and execution control based on water user profiles, characterized in that, The method is executed by the intelligent water budgeting and execution control system based on water user profiles as described in claim 1, and includes the following steps: Collect multi-source heterogeneous data, including water withdrawal permit data, water use direct reporting data, metering and monitoring data, and planned water use data; clean, merge, and uniformly store the multi-source heterogeneous data; Based on the unified storage of multi-source heterogeneous data, a preset tag rule library is retrieved to read static attribute tags from the water user's profile information, and dynamic behavior tags are automatically calculated and generated based on the unified storage of multi-source heterogeneous data and time-series operation data. The static attribute tags are manually maintained and updated by the administrator, the dynamic behavior tags are automatically updated incrementally, and the water user profile is linked with the metering and monitoring data for traceability throughout the entire process. Based on the water user profile, industry water quotas, and regional water consumption control limits, the water budget for each water user is automatically calculated and verified. Specifically, the system retrieves complete profile data, industry water quotas, and regional water consumption control limits for the corresponding water user, displays the user's historical water consumption data and annual water budget execution data, generates an annual water budget benchmark according to a preset calculation model, and allows the water user to confirm the water budget data online. The management department then verifies the water budget data online to obtain the verified water budget. The system connects to the water metering terminal in real time, synchronizes the actual water consumption, compares the actual water consumption data with the approved water budget, automatically calculates the water budget execution rate and water budget debt ratio, marks abnormal data that exceed the preset deviation threshold, and generates a dynamic ledger of water budget execution to determine the water budget execution deviation. Based on the water budget execution deviation and the water user profile, risk quantification assessments are conducted on water users, management departments, and regions, and risk levels are classified. Early warning information and differentiated control strategies are generated according to the risk levels, and water budget adjustments, problem rectification, and final account assessments are completed in a coordinated manner. At the end of a single budget year, the annual water budget amount, real-time actual water withdrawal data, and water budget adjustment approval records are automatically collected. The annual final accounts basic data table is generated by summarizing the data according to the water user and district / county. The annual final accounts report, metering and monitoring raw data, and annual performance evaluation of water user profiles are archived to the permanent water withdrawal budget electronic ledger. All archived data retains traceability links and cannot be tampered with.

3. The intelligent water budgeting and execution control method based on water user profiles according to claim 2, characterized in that, The process of collecting multi-source heterogeneous data and cleaning, fusing, and uniformly storing the multi-source heterogeneous data includes: classifying and splitting the collected multi-source heterogeneous data, cleaning the data, removing duplicates and completing data, and aligning entities according to preset association and binding relationships, and then merging the data into individual databases of water users, regional summary databases, watershed summary databases, and management department business databases, respectively.

4. The intelligent water budgeting and execution control method based on water user profiles according to claim 2, characterized in that, The water user profile includes profiles of water users with self-supplied water sources, water users with piped networks, and comprehensive regional profiles.

5. The intelligent water budgeting and execution control method based on water user profiles according to claim 2, characterized in that, The step of conducting risk quantification assessments and classifying risk levels for water users, management departments, and regions includes: calling a preset scoring model to quantify and score water users, management departments, and regions, and classifying risk levels into three levels: red, yellow, and blue; the preset scoring model includes a water user water intake behavior characteristic model, a water intake and water use management department management characteristic model, and a regional / watershed water intake and water use management assessment model.

6. The intelligent water budgeting and execution control method based on water user profiles according to claim 5, characterized in that, Also includes: Based on the aforementioned red, yellow, and blue risk levels, cross-level risk linkage analysis is conducted on micro-level water users, meso-level management departments, and macro-level regions, and differentiated control strategies are output based on the linkage analysis results.

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