Clear water circulation intelligent scheduling method and system based on water environment situation driving

Abstract

The invention discloses a clear water circulation intelligent scheduling method and system based on water environment situation driving, and the method comprises the steps: carrying out the automatic model configuration based on a multi-mode automatic selection algorithm driven by the water environment situation, and driving the running water scheduling simulation; online simulation calculation of clear water circulation forecasting scheduling and forecasting and early warning of clear water circulation are achieved; a clear water loop scheduling decision-making platform is established by combining a WebGL visualization technology with a WebGis technology, and refined simulation rehearsal of various scheduling scenes on a three-dimensional terrain is realized; through a clear water circulation multi-target scheduling decision scheme optimization method, according to a clear water circulation scheduling result, optimization of a plurality of scheduling schemes is realized, factors such as water change amount, engineering operation time, gate water discharge amount, pump station water diversion amount and the like are brought into an evaluation index system, and a clear water circulation multi-target scheduling decision scheme which not only meets the clear water circulation requirement but also meets the water circulation requirement is optimized. The scheduling time can be saved to the greatest extent, the cost is reduced, and the experience judgment error of a scheduling decision maker is reduced.

Description

Technical Field

[0001] This invention relates to the field of intelligent scheduling technology for clean water circulation in regional water environments, specifically to a method and system for intelligent scheduling of clean water circulation driven by water environment conditions. Background Technology

[0002] Water environment issues have become one of the key problems that restrict and affect the healthy development of human society.

[0003] In recent years, with the introduction and development of various water environment models and B / S technologies both domestically and internationally, water environment forecasting systems have begun to be developed. These systems use real-time monitoring data of water bodies to drive hydrodynamic-water quality models for water environment simulation and forecasting. Commonly used numerical water quality models use convection-diffusion equations as governing equations to simulate the cycling systems of nutrients such as phosphorus and nitrogen, phytoplankton and zooplankton systems, and the relationship between biological growth rates and these nutrients, sunlight, and temperature, as well as the relationship between the growth rates of phytoplankton and zooplankton. There are also some studies on the optimization of water environment scheduling schemes, mainly using methods such as hierarchical analysis and multi-objective fuzzy optimization theory models. By setting an evaluation index system for scheduling results, a weighted average score method is used to select the scheduling scheme with the highest score as the optimal scheme.

[0004] Current water environment forecasting and early warning systems mostly rely on hydrodynamic-water quality coupling models to predict short-term water environment trends. They cannot conduct preliminary simulations of various engineering scheduling measures based on the results of water environment forecasting and early warning, thereby proposing optimal engineering scheduling measures to improve current water environment problems. This needs urgent improvement. Summary of the Invention

[0005] One of the technical problems this application aims to solve is to overcome the shortcomings of the above-mentioned related technologies and provide a method and system for intelligent scheduling of clean water circulation based on water environment conditions. Based on water environment conditions and local real-time hydrodynamic conditions, the system automatically selects multiple modes and configures automatic models to match appropriate clean water circulation scheduling methods for different types of water environment conditions, thereby improving decision-making efficiency, optimizing the water flow scheduling process, improving river and lake microcirculation, enhancing the clean water circulation effect, and saving scheduling costs.

[0006] The technical solution adopted by this intelligent scheduling method for clear water circulation to solve the technical problem is as follows: an intelligent scheduling method for clear water circulation based on water environment situation, which mainly includes the following steps: Based on the water environment situation obtained from comprehensive monitoring, a multi-mode automatic selection algorithm is driven to configure the automatic model and drive the simulation of water flow scheduling, so as to realize the online simulation calculation of clear water circulation forecast scheduling and the forecast and early warning of clear water circulation. A water circulation scheduling decision platform was established by combining WebGL visualization technology with WebGIS technology to realize the fine simulation and pre-show of various scheduling scenarios on three-dimensional terrain. By using the multi-objective scheduling decision-making scheme optimization method for the Qingshui Ring-through system, the optimization of multiple scheduling schemes is achieved based on the scheduling results of the Qingshui Ring-through system. Based on the evaluation index system, the scheduling scheme that meets the needs of the Qingshui Ring-through system and can save scheduling time and reduce costs to the maximum extent is selected. The Qingshui Huantong scheduling scheme includes multiple scheduling modes, including routine water exchange, regional water replenishment, and water environment improvement modes. Normal water exchange mode: When the water quality problem in the target area is relatively minor and the water level in the water supply area is high and the water quality is relatively good, the control gate is opened and closed according to the daily scheduling rules of the project, so that the water system in the target area can freely exchange water with the water supply area and the drainage area, and the clear water circulation is achieved by relying on the water system's own hydrodynamics. Regional water replenishment mode: When the water level in the target area is low and the water storage is small, resulting in water quality exceeding the standard, and there is little rainfall in the future, the control gate is opened to control the gate opening degree and opening time, and high-quality water from the water supply area is introduced to improve the water quality of the target area; under the regional water replenishment mode, the water in the target area is only replenished and not discharged. Water environment improvement mode: When the target area has prominent water quality problems and the water level in the drainage area is high and water cannot be freely exchanged, the water supply area control gate is opened to introduce high-quality water source, while the drainage pump is turned on to discharge sewage into the drainage area.

[0007] Compared with related technologies, this intelligent water circulation scheduling method has the following advantages: It realizes online refined water environment scheduling and pre-scheduling: Based on the current water environment situation and future forecasts, the scheduling mode of projects such as gates and pumps is set online. Through the joint scheduling of gates and pumps, high-quality water sources from the main stream are introduced to increase the ecological water replenishment and inland river hydrodynamics, thereby promoting water exchange between water areas, strengthening the circulation of the regional water network, improving microcirculation, realizing refined water environment scheduling, and ultimately improving the water environment quality of the regional water network.

[0008] Simulation of the pre-drilled effect of the clear water circulation scheduling: Based on the digital base plate 3D image data, WebGL technology is used to realize the organic integration of hydrodynamic evolution, water quality evolution process and topographic information, so as to make the clear water circulation scheduling effect as vivid and realistic as possible.

[0009] The scheme optimization model of the basic multi-mode automatic selection and automatic model configuration method, in addition to taking the water environment factors before and after scheduling as evaluation indicators, also introduces factors such as water exchange volume, project operation time, gate discharge volume, and pump station water intake volume as scheme evaluation indicators. The optimized scheduling scheme not only meets the requirements of water environment improvement, but also optimizes the project scheduling process and shortens the project operation time, thereby improving the clear water circulation effect and reducing scheduling costs.

[0010] As a preferred option, the clear water circulation scheduling scheme also includes a variety of scheduling methods, including the water diversion method of first draining and then replenishing, draining and replenishing simultaneously, and replenishing and then draining. The method of first draining and then replenishing water: When the water quality problem in the target area is serious and the water level is high, first turn on the drainage pump to discharge a certain proportion of the sewage in the target area into the drainage area, then turn off the drainage pump and turn on the control gate to introduce high-quality water from the water supply area. Water replenishment and drainage method: When there is a high requirement for the timeliness of water quality improvement, water replenishment and drainage is adopted. In this method, the water exchange ratio and water exchange volume are set as constraints. The method of replenishing water before draining is as follows: When the water quality problem in the target area is serious and the water level is low, the control gate of the water supply area is opened first to introduce high-quality water to quickly dilute pollutants and improve water quality. Then, the drainage pump is turned on to drain water into the drainage area to maintain the water level in the target area.

[0011] As an improvement, the method for selecting the optimal multi-objective scheduling decision scheme for the clear water circulation system specifically includes the following steps. A1. Establish an evaluation index system for the clean water circulation scheduling scheme: Evaluation factors include, but are not limited to, conventional evaluation factors such as water quality indicators and water exchange volume, as well as economic indicators such as project operating time, project operation duration, gate drainage volume, and pump station water intake volume; among them, the indicator system U = {u1, u2, ..., un}, where n is the total number of evaluation factors; ui represents the i-th indicator affecting the quality of the clear water circulation scheduling scheme, i = 1, 2, ..., n; A2 establishes an evaluation set: The evaluation results of various indicators are represented by an evaluation set. The evaluation results of each indicator are divided into 4 categories: excellent, good, average, poor, and very poor. The evaluation set V = {v1, v2, v3, v4, v5}, where v1 = excellent, v2 = good, v3 = average, v4 = poor, and v5 = very poor. For each evaluation indicator ui in each scheme, there is an evaluation result vi. A3 determines the weight of the indicators in the evaluation system: For all factors affecting the quality of the solution, a weight is given for each indicator according to its importance; for each indicator ui in U = {u1, u2, ..., un}, there is a one-to-one correspondence between it and an ai in A = {a1, a2, ..., an}; where the specific value of ai is determined by expert scoring method. A4 Constructs the membership matrix of the evaluation indicators: Assuming the membership degree of the i-th element ui in the evaluation index system U to the j-th evaluation result in the evaluation set V is rij, establish the membership matrix of the evaluation indexes: Where m is the number of evaluation result types in the evaluation set V; The membership degree of each element is determined by the trapezoidal fuzzy distribution in the assignment method; A5 establishes a comprehensive evaluation model: After determining the membership matrix R and the weights A of the indicators in the evaluation system through steps A1-A4, the fuzzy vector B is calculated according to the formula: B = A1n* Rnm= {b1, b2,…, bm} The score for a single scheme evaluation is calculated based on the highest membership degree. The scheme with the highest score among multiple schemes is the preferred scheme for the multi-objective scheduling decision-making scheme of the Qingshui Ring-Tunnel.

[0012] As an improvement, a clear water loop scheduling decision platform is established by combining WebGL visualization technology with WebGIS technology to realize refined simulation and pre-visualization of various scheduling scenarios on three-dimensional terrain. Specifically: Assume the number of grid cells is sn, the number of nodes is sm, and the number of simulation periods is tn; ① Establish a two-dimensional hydrodynamic-water quality model, perform water quality evolution simulation calculations, and store the hydrodynamic and water quality calculation results in the grid to form an sn*tn dimensional matrix SO(sn,tn); ② After transforming the grid and node data N0(sn) used in step ① into Mercator plane coordinate system, normalize it to form an sn-dimensional Grid array N1(sn). ③ Distribute the hydrodynamic and water quality calculation results SO(sn,tn) stored in the grid in step ① to the shared nodes of the grid according to the grid area weight, forming an m*tn dimensional matrix S1(sm,tn); ④ Combining steps ② and ③, S1(sm,tn) has an array S1(j,i) at each time step i that corresponds one-to-one with each element N1(j) in N1(n); ⑤ Create a canvas (Canvace) in HTML5, and determine the drawing area of ​​the Canvace canvas based on the coordinate range of N0(sn) in the geodetic 2000 coordinate system; ⑥ Load the N1(sn) generated in step ③ into the canvas Canvace, restore the grid coordinates to the geodetic 2000 coordinate system in the webpage, and achieve offset-free overlay with WebGIS; ⑦ Using the built-in Kriging interpolation algorithm in Canvace, generate a cloud map from the data S1(j,i) at each time step i based on the node coordinates; ⑧ The cloud map generated in step ⑦ is superimposed on the three-dimensional terrain according to the geographic coordinates and water level. The data of water body, water quality cloud map, three-dimensional terrain, underwater terrain of river channel, water conservancy project and other structures are linked in real time to drive the data and realize the realistic expression and dynamic interaction of the three-dimensional scene.

[0013] The technical solution adopted by this intelligent water circulation scheduling system to solve the technical problem is as follows: a system for implementing the above-mentioned intelligent water circulation scheduling method based on water environment situation, comprising: Basic Information Management Subsystem: Based on GIS electronic maps, it comprehensively displays the current status of water diversion layout within the region, including but not limited to water diversion routes, control sections, water function zones, sluice gates, pumping stations, rivers, water level monitoring stations, and water quality monitoring stations; it supports map switching functions, providing map zooming, panning, and moving operations based on the selected administrative division map, topographic map, and image map. Integrated monitoring subsystem: Based on GIS electronic map, it realizes the display of comprehensive monitoring information, including but not limited to water quality monitoring stations, gate and pump operation status, river water status, rainfall, flow rate, and video; according to user needs, it can perform real-time statistics on gate and pump flow rate, areal rainfall, river water storage, and pollutant concentration at multiple time scales, and display the statistical results in charts or other forms; Water environment early warning subsystem: includes water quality monitoring and early warning module, rainfall monitoring and early warning module and hydrological monitoring and early warning module; Water quality monitoring and early warning module: It acquires 24-hour monitoring water quality information and automatically sends an alert to relevant personnel via SMS when the early warning conditions are triggered, based on a variety of pre-set early warning rules. Rainfall monitoring and early warning module: Based on GIS electronic map, it monitors and issues early warnings of real-time rainfall information in the Qingshui Huantong area, providing real-time and accurate rainfall information services; Water situation monitoring and early warning module: Based on GIS electronic map, it monitors the water level and tide level of the river network in the Qingshui Huantong area in real time, displays the real-time water level, warning water level, guaranteed water level and the trend of river water level rise and fall, displays the river water level process line information based on chart cross-checking, and highlights and alarms water situation information exceeding the warning level. The scheduling decision-making subsystem includes a water environment scheduling forecast module, a clean water circulation scheduling simulation module, an optimized scheduling and scenario consultation module, and a scheduling plan generation module; Water environment scheduling and forecasting module: Based on the current water environment and hydrodynamic situation of each area, as well as the future forecast situation, it automatically selects multiple modes and configures the engineering scheduling methods, initial scheduling values, target water levels and other parameters of the riverside diversion and drainage gates and inland river control gates. It calls the water environment scheduling professional model to perform engineering scheduling simulation calculations and forecasts the future changes in water quality, water level and other factors in the target area. The water circulation scheduling simulation module utilizes WebGL technology to overlay the digitized water circulation simulation results onto a 3D digital baseboard, simulating and displaying the dynamic evolution of water quality during the water allocation process, thus forming a real-time water resource simulation scenario. The optimization scheduling and scenario consultation module: By quantitatively evaluating the results of different pre-simulation schemes, the schemes are ranked according to their scores. After consultation, the water level change process curve, water quality index change process curve, and water diversion process curve of each scheme are comprehensively analyzed and compared, and the scheduling scheme with the highest comprehensive score is selected. Dispatch plan generation module: Based on the optimal dispatch scheme determined by the optimization and consultation results, the dispatch plan is automatically generated. The dispatch plan includes real-time monitoring status, regional water environment early warning status, regional water environment forecast status, engineering dispatch plan, and clear water circulation dispatch objectives.

[0014] Compared with related technologies, this intelligent water circulation scheduling system has the following advantages: it can combine the needs of precise water replenishment and regional regulation, aim at refined water transfer management, take the water environment scheduling model as the core, analyze and simulate the changes in river water level, flow velocity, flow rate and water quality under various scheduling modes, coordinate the joint scheduling plan of engineering groups such as river water diversion gates and pumps and inland river control gates, support daily water exchange and emergency response to sudden water pollution events, help improve the hydrodynamic conditions of regional river network, enhance the level of water environment situation assessment and decision analysis, and realize refined and intelligent management of water environment water transfer affairs. Attached Figure Description

[0015] Figure 1 This is a flowchart of the intelligent scheduling method for clean water circulation driven by water environment conditions, as proposed in this application.

[0016] Figure 2 This is a network diagram of the intelligent scheduling system for clean water circulation based on water environment conditions, as proposed in this application.

[0017] Figure 3 This is a screenshot of the WebGL visualization results of the intelligent scheduling system for clean water circulation based on water environment conditions, as described in this application. Detailed Implementation

[0018] First, those skilled in the art should understand that these embodiments are merely used to explain the technical principles of the embodiments of this application and are not intended to limit the scope of protection of the embodiments of this application. Those skilled in the art can make adjustments as needed to adapt to specific application scenarios.

[0019] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0020] The present invention provides a method for intelligent scheduling of clean water circulation based on water environment situation. Figure 1 As shown, based on the hydrodynamic-water quality coupling model and the clear water circulation forecasting and early warning model, a method of joint scheduling of gates and pumps is used to introduce high-quality water sources into the water supply area, increase ecological water replenishment and inland river hydrodynamics, thereby promoting water exchange between water areas, strengthening the circulation of the regional water network, improving microcirculation, realizing refined scheduling of the water environment, and ultimately improving the water environment quality of the regional water network. The main steps include the following: Based on comprehensive monitoring of the water environment, a multi-mode automatic selection algorithm is driven to automatically configure the model and drive the simulation of water flow scheduling, thereby realizing online simulation calculation of clear water circulation forecasting and scheduling, as well as forecasting and early warning of clear water circulation.

[0021] By combining WebGL visualization technology with WebGIS technology, a scheduling decision platform for the Qingshui Ring Road was established to realize the refined simulation and pre-playing of various scheduling scenarios on three-dimensional terrain.

[0022] By employing a multi-objective scheduling decision-making method for the clear water circulation system, and based on the scheduling results, multiple scheduling schemes are optimized. Factors such as water exchange volume, engineering operation time, gate discharge volume, and pump station water intake volume are incorporated into the evaluation index system to select the optimal scheduling scheme that meets the needs of the clear water circulation system while maximizing time savings and cost reduction. Figure 3 As shown.

[0023] In this embodiment, the scheduling scheme is as follows: based on the current water environment situation and future forecasts, the scheduling methods of projects such as sluice gates and pumps are automatically set. Through the joint scheduling of sluice gates and pumps, high-quality water sources are introduced into the water supply area to increase ecological water replenishment and inland river hydrodynamics, thereby promoting water exchange between water areas, strengthening the circulation of the regional water network, improving microcirculation, realizing refined scheduling of the water environment, and ultimately improving the water environment quality of the regional water network. Modes such as routine water exchange, regional water replenishment, and water environment improvement are provided. The specific mode selection scenarios are as follows: When the water quality problem in the target area is relatively minor, the water level in the water supply area is high and the water quality is good, the normal water exchange mode is selected. The control gate is opened and closed according to the daily scheduling rules of the project, so that the water system in the target area can freely exchange water with the water supply area and the drainage area, and the clear water circulation is achieved by relying on the water system's own hydrodynamics. When the target area has low water levels and insufficient water storage, resulting in water quality exceeding standards, and there is little expected rainfall in the future, a regional water replenishment mode is selected. This involves opening the control gate, regulating its opening degree and duration, and introducing high-quality water from the supply area to improve the water quality of the target area. Under this mode, water is only replenished to the target area without being discharged. When the target area has prominent water quality issues and the water level in the drainage area is high, making it impossible to freely exchange water, select the water environment improvement mode. At the same time, open the water supply area control gate to introduce high-quality water source and start the drainage pump to discharge sewage into the drainage area.

[0024] After selecting each specific mode, three scheduling methods can be chosen based on different scenarios: sort first then fill, sort while filling, and fill first then sort. The specific scenarios are as follows: First drain then replenish: When the water quality problem in the target area is serious and the water level is high, the first replenish then drain mode should be adopted. First, turn on the drainage pump to discharge a certain proportion of the sewage in the target area into the drainage area, then turn off the drainage pump and turn on the control gate to introduce high-quality water from the water supply area. Simultaneous replenishment and drainage: When there is a high requirement for the timeliness of water quality improvement, the simultaneous replenishment and drainage mode should be adopted. In order to save scheduling costs, this mode needs to take the water exchange ratio and water exchange volume as constraints. First replenish, then drain: When the water quality problem in the target area is serious and the water level is low, first open the control gate of the water supply area to introduce high-quality water source to quickly dilute pollutants and improve water quality. Then, turn on the drainage pump to drain water into the drainage area to maintain the water level in the target area.

[0025] Once the scheduling method is selected, in order to formulate a feasible plan, corresponding control conditions need to be established based on the selected scenario. These control conditions include the highest and lowest water levels in the target area after scheduling. For the simultaneous replenishment and drainage mode, the control conditions also include the water exchange ratio and volume between the target area and the water supply area.

[0026] In this embodiment, the steps of the method for selecting the optimal multi-objective scheduling decision scheme for clear water circulation are as follows: A1. Establish an evaluation index system for the clean water circulation scheduling scheme: In this project, the evaluation factors, in addition to conventional evaluation factors such as water quality indicators and water exchange volume, also include economic indicators such as project operating time, gate discharge volume, and pumping station water intake volume. For example, the indicator system is U = {u1, u2, ..., un}, where n is the total number of economic indicators; Where ui represents the i-th indicator affecting the quality of the clean water circulation scheduling scheme, i=1,2,…,n.

[0027] A2 establishes an evaluation set: The evaluation results of various indicators are represented by an evaluation set. The evaluation result for each indicator is divided into four categories: Excellent, Good, Average, Poor, and Very Poor. The evaluation set V = {v1, v2, v3, v4, v5}, where v1 = Excellent, v2 = Good, v3 = Average, v4 = Poor, and v5 = Very Poor. For each evaluation indicator ui in each scheme, there is an evaluation result vi.

[0028] A3 determines the weight of the indicators in the evaluation system: For all factors influencing the quality of a solution, their importance varies, therefore a weight needs to be assigned to each indicator. That is, for each indicator ui in U = {u1, u2, ..., un}, there is a one-to-one correspondence between it and an ai in A = {a1, a2, ..., an}.

[0029] The specific value of ai can be determined through expert scoring.

[0030] A4 Constructs the membership matrix of the evaluation indicators: Assuming the membership degree of the i-th element ui in the evaluation index system U to the j-th evaluation result in the evaluation set V is rij, establish the membership matrix of the evaluation indexes: Where m is the number of evaluation result types in the evaluation set V; the membership degree of each element is determined by the trapezoidal fuzzy distribution in the assignment method. The trapezoidal fuzzy distribution can be understood as the trapezoidal distribution commonly used in fuzzy distributions.

[0031] A5 establishes a comprehensive evaluation model: After determining the membership matrix R and the weights A of the indicators in the evaluation system through steps ①-④, the fuzzy vector B is calculated according to the formula: B = A1n* Rnm= {b1, b2,…, bm} The score for a single scheme evaluation is calculated based on the highest membership degree. The scheme with the highest score among multiple schemes is the preferred scheme for the multi-objective scheduling decision-making scheme of the Qingshui Ring-Tunnel.

[0032] In this embodiment, the steps of the method for fusing the pre-simulation of the clean water circulation environment with the three-dimensional digital base plate based on WebGL technology are as follows: WebGL technology combines HTML5 and JavaScript, making it easy to develop and run 3D graphics on web pages, and it has certain advantages in rendering complex 3D models. Assume the number of grid cells is sn, the number of nodes is sm, and the number of simulation periods is tn; ① Establish a two-dimensional hydrodynamic-water quality model, perform water quality evolution simulation calculations, and store the hydrodynamic and water quality calculation results in the grid to form an sn*tn dimensional matrix SO(sn,tn); ② After transforming the grid and node data N0(sn) used in step ① into Mercator plane coordinate system, normalize it to form an sn-dimensional Grid array N1(sn). ③ Distribute the hydrodynamic and water quality calculation results SO(sn,tn) stored in the grid in step ① to the grid shared nodes according to the grid area weight, forming an sm*tn dimensional matrix S1(sm,tn); ④ In this way, S1(sm,tn) has an array S1(j,i) at each time step i that corresponds one-to-one with each element N1(j) in N1(sn).

[0033] ⑤ Create a canvas (Canvace) in HTML5 and determine the drawing area of ​​the Canvace canvas based on the coordinate range of N0 (sn) (geo-2000 coordinate system); ⑥ Load the N1(sn) generated in step ③ into the canvas Canvace. This allows the grid coordinates to be restored to the geodetic 2000 coordinate system in the webpage, enabling offset-free overlay with WebGIS. ⑦ Using the built-in Kriging interpolation algorithm in Canvace, generate a cloud map from the data S1(j,i) at each time step i based on the node coordinates; ⑧ The generated cloud map is superimposed on the three-dimensional terrain according to the geographic coordinates and water level. The data of water body, water quality cloud map, three-dimensional terrain, underwater terrain of river channel, water conservancy project and other structures are linked in real time to drive the data, so as to realize the realistic expression of the three-dimensional scene and make it dynamic and interactive.

[0034] The present invention provides a water environment situation-driven intelligent scheduling system for clean water circulation, such as... Figure 2 As shown, based on hydrodynamic-water quality forecasting numerical data and a live water scheduling simulation model, engineering optimization scheduling enhances water environment forecasting and early warning capabilities, thereby improving regional water environment quality, raising the level of water environment scheduling and management, and ensuring regional water environment safety. It mainly includes: a basic information management subsystem for communication connections, a comprehensive monitoring subsystem, a water environment early warning subsystem, and a scheduling decision-making subsystem.

[0035] In this embodiment, the basic information management subsystem is based on a GIS electronic map to comprehensively display the current status information of water diversion layout in the region, including but not limited to water diversion routes, control sections, water function zones, sluice gates, pumping stations, rivers, water level monitoring stations, and water quality monitoring stations; it supports map switching functions based on the selected administrative division map, topographic map, and image map; and provides map zooming, panning, and moving operations, including but not limited to map zooming.

[0036] The basic information management subsystem includes: a natural geographic pipeline module, used to manage the storage, retrieval, display, and updating of natural geographic information; a water diversion pipeline module, used to manage the storage, retrieval, display, and updating of water diversion line information; and engineering and monitoring stations, used to manage the storage, retrieval, display, and updating of information on gate pump engineering and monitoring stations.

[0037] In this embodiment, the integrated monitoring subsystem, based on a GIS electronic map, displays comprehensive monitoring information, including but not limited to water quality monitoring stations, sluice gate and pump operation status, river water conditions, rainfall, flow rate, and video. It also provides real-time statistics on sluice gate and pump flow, areal rainfall, river water storage, and pollutant concentration at multiple time scales, based on user needs, with the results displayed in charts and graphs. This assists management personnel in quickly and conveniently understanding the water environment information within the region, facilitating water allocation.

[0038] In this embodiment, the water environment early warning subsystem is used for water quality monitoring and early warning, rainfall monitoring and early warning, and hydrological monitoring and early warning.

[0039] The water environment early warning subsystem includes: The water quality monitoring and early warning module acquires 24-hour monitoring water quality information. Based on various pre-set early warning rules, it automatically sends alerts to relevant personnel via SMS when warning conditions are triggered. Early warning levels are categorized into General (Level IV), Moderately Severe (Level III), Severe (Level II), and Extremely Severe (Level I), respectively distinguished by blue, yellow, orange, and red colors, with pop-up windows and audible alerts displayed in the system. Users can select a specific time period to query water quality element information for that period and access graphs showing changes in water quality elements. The system integrates data from the entire water system with monitoring data from water quality monitoring stations for correlation analysis. It performs comparative analysis of raw automatic monitoring data, including comparisons between neighboring areas, between different water systems, between different river sections, and year-on-year and month-on-month analyses of the same monitoring station.

[0040] The rainfall monitoring and early warning module, based on a GIS electronic map, monitors and issues early warnings for real-time rainfall information in the Qingshui Huantong area, providing real-time and accurate rainfall information services. Users can filter and search by station name and administrative division. The search results are displayed in a combination of charts and graphs, and the module also supports outputting search results.

[0041] The water situation monitoring and early warning module, based on a GIS electronic map, monitors the water level and tide level of the river network in the Qingshui Huantong area in real time, displays the real-time water level, warning water level, guaranteed water level, and the trend of river water level rise and fall, displays the river water level process line information based on chart cross-checking, highlights water situation information exceeding the warning level and alarms, and allows users to customize the query time period and draw the real-time water level process line of each station.

[0042] In this embodiment, the scheduling decision subsystem uses a multi-mode automatic selection algorithm driven by water environment conditions to automatically configure models and drive the simulation of water flow scheduling. This enables online simulation calculations of clear water circulation forecasting and scheduling, as well as forecasting and early warning of clear water circulation. A clear water circulation scheduling decision platform is established using WebGL visualization technology combined with WebGIS technology, enabling detailed simulation and pre-playing of various scheduling scenarios on a three-dimensional terrain. Through multi-objective automatic optimization technology, multiple scheduling schemes are optimized based on the clear water circulation scheduling results. Factors such as water exchange volume, engineering operation time, gate drainage volume, and pump station water intake volume are incorporated into the evaluation index system to select the optimal scheduling scheme that meets the needs of clear water circulation while maximizing the saving of scheduling time and reducing costs, thereby reducing the experience-based judgment errors of scheduling decision-makers.

[0043] The scheduling decision subsystem includes: The water environment scheduling and forecasting module automatically sets the scheduling mode of projects such as gate pumps based on the current situation and future forecasts of the water environment. Through the joint scheduling of gate pumps, high-quality water sources are introduced into the water supply area to increase the amount of ecological water replenishment and the hydrodynamics of inland rivers, thereby promoting water exchange between water areas, strengthening the circulation of the regional water network, improving microcirculation, realizing refined scheduling of the water environment, and ultimately improving the water environment quality of the regional water network. It offers modes such as routine water exchange, regional water replenishment, and water environment improvement. Based on the current water environment and hydrodynamic conditions of each area (including the current water quality and real-time water level of the target area and water diversion area, real-time water level of the drainage area, current engineering operation status, and external river tide level, etc.) and future forecasts (including rainfall forecasts, water level forecasts, and tide level forecasts for the target area, water diversion area, and drainage area), it automatically selects multiple modes and configures parameters such as the engineering scheduling methods, initial scheduling values, and target water levels for the riverside diversion and drainage gates and inland river control gates. It calls upon a professional water environment scheduling model to perform engineering scheduling simulation calculations and forecast future changes in water quality and water level in the target area. Simultaneously, it statistically analyzes information such as the change in storage capacity in the target area under this scheme, and the opening and closing times, durations, opening degrees, water diversion volumes, and drainage volumes of the gates and pumps.

[0044] The Clear Water Circulation Scheduling Simulation Module utilizes WebGL technology to overlay the digitized simulation results of the Clear Water Circulation system onto a 3D digital base, simulating the dynamic evolution of water quality during water allocation and creating a real-time water resource simulation scenario. The system displays the distribution of various water quality elements (such as COD, BOD, total phosphorus, total nitrogen, ammonia nitrogen, dissolved oxygen, chlorophyll a, etc.) in the water area using cloud maps, and shows the evolution of these elements through animation. Users can also query the concentration of water quality elements at any location.

[0045] The scheduling and scenario consultation modules were optimized, and a multi-indicator evaluation system was established, including indicators such as water diversion and drainage duration, water diversion rate, water retention rate, and water quality change. The results of different pre-simulation schemes were quantitatively evaluated, and the schemes were ranked according to their scores. After consultation, the water level change curves, water quality index change curves, and water diversion process curves of each scheme were comprehensively analyzed and compared, and the scheduling scheme with the highest comprehensive score was selected.

[0046] The dispatch plan generation module automatically generates a dispatch plan with one click based on the optimal dispatch scheme determined by optimization and consultation results. The plan includes: ① Real-time monitoring: water conditions at important river sections in the region, river storage capacity, sluice gate and pump operation status, water quality assessment, etc.; ② Regional water environment early warning status; ③ Regional water environment forecast status: areal rainfall, runoff, water quality, etc. for the next 1-7 days; ④ Engineering dispatch plan: water diversion and discharge processes at sluice gates and pumping stations for the next 1-7 days; ⑤ Clear water circulation dispatch targets: river and lake water level targets, water quality targets, etc. The generated dispatch plan supports downloading, printing, and publishing functions.

[0047] The intelligent scheduling system for clean water circulation, driven by water environment conditions, comprehensively applies the following technologies.

[0048] Watershed pollution load analysis technology: Based on the current pollution source survey and assessment of industrial, agricultural, domestic, and aquaculture pollution sources in the study area, key pollution indicators are selected, a pollution load analysis model is established, the pollution load and proportion of each pollution source are quantitatively analyzed, the pollution load of the target object in the future period is predicted, and early warning is issued.

[0049] Two-dimensional hydrodynamic-water quality coupled model technology: Based on the established watershed pollution load analysis model, for the target water system, a hydrodynamic model under unstructured grid and a two-dimensional water quality model under MUSCL interpolation reconstruction are constructed. On this basis, a coupled model is constructed through model chain technology to realize the simulation of flow field changes in the computational area and the prediction of future water quality changes.

[0050] Water environment multi-objective scheduling decision optimization model technology: Based on the current operation status of water conservancy projects in the region, a water quality multi-objective scheduling decision optimization model is established based on artificial neural network (ANN) and multi-objective genetic algorithm (GA). According to the future water quality change process and the set water quality target, the engineering scheduling scheme is iteratively optimized in real time, and finally the optimal scheduling scheme under the target condition is generated to guide the scientific and efficient operation of water conservancy projects.

[0051] Water quality pre-simulation visualization model technology: Based on geospatial data, monitoring data and model result data, a two-dimensional visualization rendering engine is used to construct a two-dimensional visualization simulation model for water quality pre-simulation. The model displays the movement and change process of various water quality indicators in the water system in the form of water quality evolution animation, helping managers to intuitively grasp the water quality change patterns.

[0052] Technology for constructing a water system scheduling decision-making platform for water environment improvement: Based on the actual needs of regional water environment improvement, various existing pollution load analysis models, hydrodynamic and water quality models, engineering optimization scheduling decision-making models, and visualization simulation models are coupled to establish a water system scheduling decision-making platform for water environment improvement. The platform mainly includes functions such as data base, real-time monitoring, water environment early warning, scheduling decision-making, visualization simulation, and data dashboard.

[0053] A WebGL-based technology for integrating water quality evolution with a 3D digital baseboard: WebGL technology combines HTML5 and JavaScript, facilitating the development and execution of 3D graphics on web pages and offering advantages in rendering complex 3D models. The calculation results of a 2D hydrodynamic-water quality model are discretized in a grid format on the web page, and a cloud map is generated using the Kriging interpolation algorithm on Canvace. The generated cloud map is then overlaid onto the 3D terrain according to geographic coordinates. Real-time data-driven association of water bodies, water quality cloud maps, 3D terrain, and structures enables realistic and dynamically interactive representation of the 3D scene.

[0054] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for intelligent scheduling of clean water circulation based on water environment situation, characterized in that, The main steps include the following: Based on the water environment situation obtained from comprehensive monitoring, a multi-mode automatic selection algorithm is driven to automatically configure the model, drive the simulation of water flow scheduling, and realize the online simulation calculation of clear water circulation forecast scheduling and the forecast and early warning of clear water circulation. A water circulation scheduling decision platform was established by combining WebGL visualization technology with WebGIS technology to realize the fine simulation and pre-show of various scheduling scenarios on three-dimensional terrain. By using the multi-objective scheduling decision-making scheme optimization method for the Qingshui Ring-through system, the optimization of multiple scheduling schemes is achieved based on the scheduling results of the Qingshui Ring-through system. Based on the evaluation index system, the scheduling scheme that meets the needs of the Qingshui Ring-through system and can save scheduling time and reduce costs to the maximum extent is selected. The Qingshui Huantong scheduling scheme includes multiple scheduling modes, including routine water exchange, regional water replenishment, and water environment improvement modes. Normal water exchange mode: When the water quality problem in the target area is relatively minor and the water level in the water supply area is high and the water quality is relatively good, the control gate is opened and closed according to the daily scheduling rules of the project, so that the water system in the target area can freely exchange water with the water supply area and the drainage area, and the clear water circulation is achieved by relying on the water system's own hydrodynamics. Regional water replenishment mode: When the water level in the target area is low and the water storage is small, resulting in water quality exceeding the standard, and there is little rainfall in the future, the control gate is opened to control the gate opening degree and opening time, and high-quality water from the water supply area is introduced to improve the water quality of the target area; under the regional water replenishment mode, the water in the target area is only replenished and not discharged. Water environment improvement mode: When the target area has prominent water quality problems and the water level in the drainage area is high and water cannot be freely exchanged, the water supply area control gate is opened to introduce high-quality water source, while the drainage pump is turned on to discharge sewage into the drainage area.

2. The method for intelligent scheduling of clean water circulation based on water environment situation as described in claim 1, characterized in that, The clear water circulation scheduling scheme also includes a variety of scheduling methods, including the methods of first discharging and then replenishing, discharging and replenishing simultaneously, and replenishing and then discharging. The method of first draining and then replenishing water: When the water quality problem in the target area is serious and the water level is high, first turn on the drainage pump to discharge a certain proportion of the sewage in the target area into the drainage area, then turn off the drainage pump and turn on the control gate to introduce high-quality water from the water supply area. Water replenishment and drainage method: When there is a high requirement for the timeliness of water quality improvement, water replenishment and drainage is adopted. In this method, the water exchange ratio and water exchange volume are set as constraints. The method of replenishing water before draining is as follows: When the water quality problem in the target area is serious and the water level is low, the control gate of the water supply area is opened first to introduce high-quality water to quickly dilute pollutants and improve water quality. Then, the drainage pump is turned on to drain water into the drainage area to maintain the water level in the target area.

3. A method for intelligent scheduling of clean water circulation based on water environment situation as described in claim 1 or 2, characterized in that, The method for optimizing the multi-objective scheduling decision-making scheme of the clear water circulation system includes the following steps. A1. Establish an evaluation index system for the clean water circulation scheduling scheme: Evaluation factors include, but are not limited to, conventional evaluation factors such as water quality indicators and water exchange volume, as well as economic indicators such as project operating time, project operation duration, gate drainage volume, and pump station water intake volume; among them, the indicator system U = {u1, u2, ..., un}, where n is the total number of evaluation factors; ui represents the i-th indicator affecting the quality of the clear water circulation scheduling scheme, i = 1, 2, ..., n; A2. Establish an evaluation set: The evaluation results of various indicators are represented by an evaluation set. The evaluation results of each indicator are divided into 5 categories: excellent, good, average, poor, and very poor. The evaluation set V = {v1, v2, v3, v4, v5}, where v1 = excellent, v2 = good, v3 = average, v4 = poor, and v5 = very poor. For each evaluation indicator ui in each scheme, there is an evaluation result vi. A3 determines the weight of the indicators in the evaluation system: For all factors affecting the quality of the solution, a weight is given for each indicator according to its importance; for each indicator ui in U = {u1, u2, ..., un}, there is a one-to-one correspondence between it and an ai in A = {a1, a2, ..., an}; where the specific value of ai is determined by expert scoring method. A4 Constructs the membership matrix of the evaluation indicators: Assuming the membership degree of the i-th element ui in the evaluation index system U to the j-th evaluation result in the evaluation set V is rij, establish the membership matrix of the evaluation indexes: Where m is the number of evaluation result types in the evaluation set V; The membership degree of each element is determined by the trapezoidal fuzzy distribution in the assignment method; A5 establishes a comprehensive evaluation model: After determining the membership matrix R and the weights A of the indicators in the evaluation system through steps A1-A4, the fuzzy vector B is calculated according to the formula: B = A1n* Rnm= {b1, b2,…, bm} The score for a single scheme evaluation is calculated based on the highest membership degree. The scheme with the highest score among multiple schemes is the preferred scheme for the multi-objective scheduling decision-making scheme of the Qingshui Ring-Tunnel.

4. The method for intelligent scheduling of clean water circulation based on water environment situation as described in claim 1, characterized in that, A waterway scheduling decision-making platform was established by combining WebGL visualization technology with WebGIS technology to achieve refined simulation and pre-visualization of various scheduling scenarios on three-dimensional terrain. Specifically: Assume the number of grid cells is sn, the number of nodes is sm, and the number of simulation periods is tn; ① Establish a two-dimensional hydrodynamic-water quality model, perform water quality evolution simulation calculations, and store the hydrodynamic and water quality calculation results in the grid to form an sn*tn dimensional matrix SO(sn,tn); ② After transforming the grid and node data N0(sn) used in step ① into Mercator plane coordinate system, normalize it to form an sn-dimensional Grid array N1(sn). ③ Distribute the hydrodynamic and water quality calculation results SO(sn,tn) stored in the grid in step ① to the grid shared nodes according to the grid area weight, forming an sm*tn dimensional matrix S1(sm,tn); ④ Combining steps ② and ③, S1(sm,tn) has an array S1(j,i) at each time step i that corresponds one-to-one with each element N1(j) in N1(sn); ⑤ Create a canvas (Canvace) in HTML5, and determine the drawing area of ​​the Canvace canvas based on the coordinate range of N0(sn) in the geodetic 2000 coordinate system; ⑥ Load the N1(sn) generated in step ③ into the canvas Canvace, restore the coordinates of the grid to the geodetic 2000 coordinate system in the webpage, and achieve offset-free overlay with WebGIS; ⑦ Using the built-in Kriging interpolation algorithm in Canvace, generate a cloud map from the data S1(j,i) at each time step i based on the node coordinates; ⑧ The cloud map generated in step ⑦ is superimposed on the three-dimensional terrain according to the geographic coordinates and water level. The data of water body, water quality cloud map, three-dimensional terrain, underwater terrain of river channel, water conservancy project and other structures are linked in real time to drive the data and realize the realistic expression and dynamic interaction of the three-dimensional scene.

5. A system for implementing the intelligent scheduling method for clean water circulation based on water environment situation as described in claim 1, characterized in that, include: Basic Information Management Subsystem: Based on GIS electronic maps, it comprehensively displays the current status of water diversion layout within the region, including but not limited to water diversion routes, control sections, water function zones, sluice gates, pumping stations, rivers, water level monitoring stations, and water quality monitoring stations; it supports map switching functions, providing map zooming, panning, and moving operations based on the selected administrative division map, topographic map, and image map. Integrated monitoring subsystem: Based on GIS electronic map, it realizes the display of comprehensive monitoring information, including but not limited to water quality monitoring stations, gate and pump operation status, river water status, rainfall, flow rate, and video; according to user needs, it can perform real-time statistics on gate and pump flow rate, areal rainfall, river water storage, and pollutant concentration at multiple time scales, and display the statistical results in charts or other forms; Water environment early warning subsystem: includes water quality monitoring and early warning module, rainfall monitoring and early warning module and hydrological monitoring and early warning module; Water quality monitoring and early warning module: It acquires 24-hour monitoring water quality information and automatically sends an alert to relevant personnel via SMS when the early warning conditions are triggered, based on a variety of pre-set early warning rules. Rainfall monitoring and early warning module: Based on GIS electronic map, it monitors and issues early warnings of real-time rainfall information in the Qingshui Huantong area, providing real-time and accurate rainfall information services; Water situation monitoring and early warning module: Based on GIS electronic map, it monitors the water level and tide level of the river network in the Qingshui Huantong area in real time, displays the real-time water level, warning water level, guaranteed water level and the trend of river water level rise and fall, displays the river water level process line information based on chart cross-checking, and highlights and alarms water situation information exceeding the warning level. The scheduling decision-making subsystem includes a water environment scheduling forecast module, a clean water circulation scheduling simulation module, an optimized scheduling and scenario consultation module, and a scheduling plan generation module; Water environment scheduling and forecasting module: Based on the current water environment and hydrodynamic situation of each area, as well as the future forecast situation, it automatically selects multiple modes and configures the engineering scheduling methods, initial scheduling values, target water levels and other parameters of the riverside diversion and drainage gates and inland river control gates. It calls the water environment scheduling professional model to perform engineering scheduling simulation calculations and forecasts the future changes in water quality, water level and other factors in the target area. The water circulation scheduling simulation module utilizes WebGL technology to overlay the digitized water circulation simulation results onto a 3D digital baseboard, simulating and displaying the dynamic evolution of water quality during the water allocation process, thus forming a real-time water resource simulation scenario. The optimization scheduling and scenario consultation module: By quantitatively evaluating the results of different pre-simulation schemes, the schemes are ranked according to their scores. After consultation, the water level change process curve, water quality index change process curve, and water diversion process curve of each scheme are comprehensively analyzed and compared, and the scheduling scheme with the highest comprehensive score is selected. Dispatch plan generation module: Based on the optimal dispatch scheme determined by the optimization and consultation results, the dispatch plan is automatically generated. The dispatch plan includes real-time monitoring status, regional water environment early warning status, regional water environment forecast status, engineering dispatch plan, and clear water circulation dispatch objectives.

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