A dispatching decision method and system suitable for integrated management of plant, network and river

Abstract

The present invention discloses a scheduling decision method and system suitable for integrated management of plant, network and river, comprising: by collecting geographic information data, pipe network survey data, pump gate weir pool data, sewage treatment facilities and meteorological, hydrological and water quality monitoring data and other multi-factor data in the water receiving area of ​​the sewage treatment plant in the study area, constructing a "plant-station-network-river" integrated mechanism model of coupling surface runoff pollution module, pipe network confluence transmission module, river network confluence transmission module, sewage treatment plant, pump station and regulating reservoir and other engineering facility generalization modules, realizing the simulation of water quantity and water quality changes in the whole process of "rainfall-ground production, confluence-entering underground drainage pipe network-pump station, sewage treatment plant, regulating reservoir-entering river (lake) through outlet" and the coordinated control operation strategy of "plant-station-network-river".

Description

Technical Field

[0001] The present invention relates to the field of smart water technology, and in particular to a dispatching decision method and system suitable for integrated management of plant, network and river. Background Art

[0002] The integrated management of urban drainage system, plant network and river is a mode of unified planning, construction, operation and management that combines urban drainage system (including sewage collection, treatment and discharge facilities), pipe network system and river management. This management mode aims to improve the operating efficiency of urban drainage system, reduce water pollution and protect water environment.

[0003] With the acceleration of urbanization and the improvement of environmental awareness, the integrated operation and management of urban drainage plants, networks and rivers is facing greater and greater challenges. The traditional drainage system management method can no longer meet the needs of modern cities for efficient, safe and intelligent operation of drainage systems. At present, most of the smart water services in the drainage industry are still in the information and digitalization stage. They have formed a certain foundation in the perception, data, platform and application system levels, and are mainly based on operation and management systems that can realize dynamic and static data collection, display, daily production process management and simple logical analysis of data. The degree of intelligence is not high, and most of them have not achieved plant-network-river integration. In addition, the current drainage system scheduling has the following defects:

[0004] High complexity of scheduling and management: The urban drainage system involves multiple links and facilities, including sewage collection, transmission, treatment and final discharge into rivers. This leads to high complexity of scheduling and management of the entire system, which requires consideration of multiple factors such as water quality, water volume, pipe network operation status, weather, etc., making it difficult to achieve overall optimization.

[0005] Insufficient information sharing and coordination: In the integrated dispatching and management of urban drainage systems, information sharing and coordination between various departments and facilities are crucial. However, in actual operations, due to problems such as information islands and inconsistent data formats, information sharing and coordination are difficult, affecting the efficiency and accuracy of dispatching management.

[0006] Insufficient prediction and early warning capabilities: Urban drainage systems face a variety of uncertainties, such as rainfall, sewage discharge, etc. At present, the drainage systems of some cities lack accurate prediction and early warning capabilities, and are unable to predict and respond to possible problems in advance, resulting in the inability to make effective scheduling decisions in an emergency.

[0007] Low level of automation and intelligence: The integrated dispatching and management of urban drainage systems, plants, networks and rivers requires highly automated and intelligent support. However, the automation and intelligence levels of drainage systems in some cities are low, and they still rely on manual operation and judgment, resulting in inefficient dispatching and management, and prone to errors.

[0008] Limited emergency response capability: In the integrated dispatching and management of urban drainage systems, emergency response capability is crucial for dealing with emergencies. However, the drainage systems in some cities lack an effective emergency response mechanism and are unable to make dispatching decisions quickly and accurately in emergencies, resulting in the expansion of the situation and increased losses.

[0009] Therefore, it has become an urgent need in the industry to develop a drainage system management platform that can use data for modeling and simulation to form decision-making plans, thereby serving the actual production scheduling of integrated plant, network and river for real-time monitoring, early warning, diagnosis, optimization and guidance of scheduling control. Summary of the invention

[0010] The purpose of the present invention is to overcome the above-mentioned shortcomings and provide a scheduling decision-making method and system suitable for the integrated management of plant, network and river, so as to realize the simulation of water quantity and quality changes in the whole process of "rainfall - ground production and convergence - entering the underground drainage network - pumping station, sewage treatment plant, storage tank - entering the river (lake) through the outlet", as well as the coordinated control and operation strategy of "plant-station-network-river".

[0011] In order to solve the above technical problems, the technical solution adopted by the present invention is: a dispatching decision method suitable for integrated management of plant, grid and river, which comprises the following steps:

[0012] Step S1: Summarize and organize the geographic information data, pipeline network background data, pump, sluice, weir, pond and plant data in the study area, delineate each drainage area, monitor and perceive the multi-source water information data in the city through flow meters, liquid level meters, water quality monitoring stations, and plant and station gateway IoT sensing devices, monitor the drainage elements of each drainage area source, network, station, plant, pond, well, and river in real time, dynamically analyze the water volume and water quality of each area's inflow and outflow, and identify abnormal alarms;

[0013] Step S2: Based on the historical rainfall data of the urban area, the fused-corrected short-term and medium-term forecast rainfall, and the outlet flow / water level and water quality data, a deep learning analysis of the rain-flood-water quality relationship is performed to predict the future flow / water quality process of the outlet using the forecast rainfall data as the trigger condition for the regular scheduling of the drainage system;

[0014] Step S3: Delineate different dispatching scenarios, and design integrated dispatching strategies for multiple scenarios such as "grid-station-factory", "grid-pool-factory", "grid-station-river", and "grid-factory-river" under rainless and rainy conditions;

[0015] Step S4: Based on the urban topography and pipe network topology, simulate the flow generation of sub-catchment units and their confluence process to the confluence point, simulate the generation and transmission process of surface runoff and non-point source pollution, and realize the simulation and prediction of non-point source pollution, which serves as the upper boundary of pollutant accumulation and erosion and hydrodynamic water quality model; at the same time, use the LSTM confluence analysis model to simulate the confluence process in areas where pipe network data is missing or of poor quality, to make up for the problem of insufficient simulation accuracy of the hydrodynamic water quality model in this area;

[0016] Step S5: Design a coordinated control and operation strategy of "drainage source-pipeline network-pump station-wastewater treatment plant forebay" in combination with local conditions and needs, use the finite difference method to solve the Saint-Venant equations and the one-dimensional convection-diffusion equation, and preview the change process of water level, flow and water quality of the drainage system under different scheduling schemes. Use dynamic integration and system simulation theory, take the operation needs of the drainage system as the goal, and build a multi-objective optimization model for joint control. Integrate the optimization model and the mechanism model through the "simulation-optimization" mode, and use the optimization algorithm to solve the best joint scheduling plan for related facilities in the system;

[0017] Step S6: Based on the optimized dispatching plan generated in S5, dispatching control instructions are generated, and manual review, modification and confirmation are supported, supporting the monitoring and control of the operating status of pumps, gates and valves and the integrated automatic operation control of the project.

[0018] Furthermore, in step S3, the design of the “network-station-factory” integrated scheduling strategy includes:

[0019] Dispatching objectives: The safest operation of the pipeline network and the most economical operation of the pump station;

[0020] Control elements: sewage lifting pump station;

[0021] Scheduling constraints: The pipe network does not overflow and the sewage treatment plant does not operate overloaded;

[0022] Dispatching process: During low flow at night, the high water level of the pipe network upstream of the pump station collection pool is used to lower the liquid level of the pipe network downstream of the pump station, reduce the lifting head and the number of units started, reduce energy consumption, and relieve the processing pressure of the sewage treatment plant; when the incoming water is increased, the pump station is used to quickly pump out the sewage in the pipe network so that the sewage in the pipe network enters the sewage treatment system as soon as possible, avoiding high liquid level operation of the pipe network, reducing the drainage pressure of the pipe network, and ensuring the safe operation of the pipe network.

[0023] Furthermore, in step S3, the design of the “network-pool-plant” integrated scheduling strategy includes:

[0024] Dispatching objectives: Minimum pollution from overflow at the outlet, minimum overflow from the inspection well, most economical operation of the pump station, and most stable operation of the sewage treatment plant;

[0025] Control elements: storage tank;

[0026] Scheduling constraints: The water inflow to the sewage treatment plant does not exceed the load, the water quality does not fall below the lower limit of the sewage treatment plant, the water level in the regulating reservoir does not exceed the upper limit of the water storage, and the initial rainwater does not overflow the river;

[0027] Dispatching process: start the submersible sewage pump in the regulating and storage tank before the rain to lower the liquid level in the pipe network and free up the water capacity of the air conditioning and storage tank; when the pollutant concentration is high at the beginning of rainfall, allow sewage to enter the regulating and storage tank to avoid overflow pollution; in the middle of rainfall, when the pollutant concentration is lower than the lower limit of the sewage treatment plant and the regulating and storage tank and the sewage treatment plant are operating at high load, reduce the number of pump stations started, reduce the flow into the plant, and ensure the safety of the plant and the pool; in the late stage of rainfall, the pump station is used to pump out and lower the liquid level in the pipe network and the water level in the storage tank to avoid high-load operation affecting the life of the network pool.

[0028] Furthermore, in step S3, the design of the “network-station-river” integrated scheduling strategy includes:

[0029] Dispatching objectives: the safest operation of the pipeline network and the most economical energy consumption of the pumping station;

[0030] Control elements: Stormwater pumping station;

[0031] Scheduling constraints: The pipe network does not overflow and the river water level does not exceed the flood level;

[0032] Dispatching process: When the rainfall intensity is low, the water level of the outer river is not high, and the water quality is good, the pump station will not be opened; when the rainfall intensity is high, the water level of the outer river is slightly supported, and the water quality is good, but the liquid level in the pipeline network is not high, the rainwater pump station will not be opened temporarily, and the rainwater will be stored in the pipeline network and the front pool of the pump station to maintain a high water level. The pump station will be opened after the water level in the river drops to reduce energy consumption; when the pipeline network and the river continue to operate at a high liquid level, the water quality of the outer river is poor and the rainfall continues to increase, the pump station will be opened to ensure flood control and drainage safety and improve the water quality of the river.

[0033] Furthermore, in step S3, the design of the “grid-plant-river” integrated dispatching strategy includes:

[0034] Scheduling target: maximum water replenishment for river ecology;

[0035] Control elements: sewage treatment plants;

[0036] Scheduling constraints: The concentration of pollutants in the sewage treatment plant shall not be higher than that in the inland river; the lower limit of the river ecological landscape water level; the upper limit of the river flood control water level;

[0037] Dispatching process: When the water quality of urban rivers is poor and the water level is lower than the lower limit of the ecological landscape water level, the tail water of the sewage treatment plant will be discharged into the urban rivers to reduce the concentration of pollutants in the urban rivers, increase the water level of the urban rivers, and avoid affecting the landscape effect due to low water levels.

[0038] Furthermore, in step S4, the accumulation of pollutants is to simulate the growth law of the accumulation of surface pollutants over time; it is calculated using the saturation function method, assuming that the accumulation of pollutants and time are in a saturated function relationship;

[0039] Pollutant washoff simulates the erosion of the ground surface and the dissolution of pollutants during the runoff period. It is calculated using the exponential function method, assuming that the amount of pollutant washoff is proportional to the amount of pollutant accumulation and has an exponential relationship with the runoff volume.

[0040] Furthermore, the saturation cumulative function: m B (t d )=B max t d / (K B +t d );

[0041] Exponential washoff function:

[0042]

[0043] Where: m B is the pollutant accumulation per unit area; t d is the cumulative time; B max is the maximum accumulation of pollutants; K B is the half-saturation constant of the accumulation process; w is the amount of pollutant flushing per unit time; K W is the scour coefficient; q is the runoff rate; N W is the runoff index.

[0044] Furthermore, in step S5, the optimization algorithm is as follows:

[0045] Step S501: determine the objective function and formulate constraints;

[0046] Step S502: generating a set of initial dispatching rules within the feasible domain, wherein the initial dispatching rules are operation dispatching rules for flow limiting gates, movable weirs, and pumping facilities in the drainage system at each control step length based on the daily operation experience of the plant and station network;

[0047] Step S503: According to the dispatching rules, the integrated dispatching model of "plant-station-network" is used to simulate the water quantity and water quality joint dispatching process, and the water level, flow rate, flow velocity and water quality of the characteristic points are screened by using constraint conditions, and relevant evaluation indicators are counted;

[0048] Step S504: converting the index into a fitness value of the intelligent optimization method to evaluate all scheduling rules;

[0049] Step S505: Determine whether the stop condition is met. If yes, stop the iteration. Otherwise, generate new scheduling rules through the intelligent optimization method, repeat the simulation-optimization process, and determine the optimized scheduling plan.

[0050] Furthermore, the objective function of step S501 is to maximize the comprehensive benefits of overflow pollution and plant energy consumption under the initial rain condition, as follows:

[0051] The weighted sum of total objectives 1 and 2 is minimal:

[0052] min f=min(k 1 f 1 +k 2 f 2 );

[0053] Where: f represents the standardized value of the total target of the optimization algorithm, f 1 represents the minimum standardized value of initial rain overflow pollution of target 1, f 2 represents the standardized value of total energy consumption of sewage treatment plants and pumping stations in target 2, k 1 , k 2 Respectively represent the weight coefficients of target 1 and target 2;

[0054] Goal 1: Minimize pollution from initial rain overflow:

[0055]

[0056] Where: f 1 Indicates the minimum standardized value of initial rain overflow pollution of target 1, C l,t represents the outflow water quality concentration at the overflow point l at time t, Q OS l,t represents the sewage outflow rate at the overflow point l at time t, and Δt represents the time difference;

[0057] Goal 2: Minimize the total energy consumption of sewage treatment plants and pumping stations:

[0058]

[0059] Where: f 能 represents the standardized value of total energy consumption of sewage treatment plant and pumping station in target 2, ρ is the standardized coefficient of conversion of tons of water, q k,t represents the inflow rate of the kth sewage treatment plant at time t, Δt represents the time difference, β k,t represents the water and electricity consumption per ton of sewage at the kth sewage treatment plant at time t, λ i,j,t is a constant, its value is 0 or 1, 0 means the pump is off, 1 means the pump is on, N i,j,t represents the pump power of the jth pump in the i-th pump station at time t, η i,t,j Represents the pump motor efficiency of the jth pump in the i-th pump station at time t.

[0060] Furthermore, in step S5, the specific process of constructing the multi-objective optimization model for joint regulation is as follows:

[0061] Using dynamic integration and system simulation theory, taking the drainage system operation demand as the goal, a multi-objective optimization model of "plant-station-network" joint regulation is constructed. The optimization model structure includes objectives / objective functions, control variables / operations, and constraints. The model predictive control steps are as follows:

[0062] ① At the current moment, use the prediction model to predict the situation between time a and time b;

[0063] ② Bring the predicted situation into an optimization model for calculation to obtain the optimal parameters and control strategy / scheme between time a and time b;

[0064] ③Complete the calculation before time a and use the solution for control;

[0065] ④Move back time a and b and repeat the above steps.

[0066] In addition, the present invention also discloses a plant-grid-river integrated dispatching decision system, which includes the following modules:

[0067] Monitoring and alarm module: used for real-time monitoring and abnormal alarm of drainage elements such as source, network, station, plant, pool, well and river; video monitoring and abnormal alarm of operation status of key control and treatment facilities; dynamic analysis of water volume and water quality of inflow and outflow in each zone, and abnormal alarm;

[0068] Forecast and warning module: Based on the urban rainfall forecast results, it warns of short-term heavy rainfall in the future; based on the drainage network, sewage treatment plant, river water level, flow, and water quality forecast results, it warns of waterlogging overflow in the network, overload operation of the water plant, and water level support at the outlet river; based on the operating status of the reservoir and pump station units before the rain, it warns of high water levels in the reservoir before the rain and abnormal start and stop of the pump station units;

[0069] Problem diagnosis module: Analyze and diagnose the causes of abnormal operation of sewage treatment plants based on the water volume and quality of sewage treatment plants, the operation of pump stations and storage tanks; identify, classify and locate problem areas based on fixed-point online monitoring, big data analysis algorithms and water volume and quality characteristics; analyze abnormal discharge outlets and identify companies that leak water based on water quality characteristic factors of the assessment section and the relationship between the upstream and downstream sections, and assist in tracing the source of the problem;

[0070] Operation optimization module: for the daily operation of the plant, the optimization goal is to minimize the economic operation cost of the pump station and the sewage treatment plant, and the safety operation restrictions of the pipe network and the sewage treatment plant are used as constraints. Combined with model prediction, the optimization algorithm is used to generate the optimal scheduling plan; the functions include scheduling condition constraints, and provide corresponding optimization goals and constraint conditions for the daily economic operation scenarios of the plant;

[0071] Dispatch rehearsal module: provides customized switching of multiple scenarios for dispatch simulation, model parameter setting, dynamic control of multiple facilities, and comprehensive simulation service platform for multiple factors, to prevent and control the operation risks of drainage systems, improve operation efficiency, and reduce operation costs. According to rainfall and dispatch facilities, determine the dispatch scenarios of "network-station-plant", "network-tank-plant", "network-station-river", and "river-station-gate" under rainfall overflow pollution control and steady-state operation dispatch, and rainless cost reduction and efficiency increase dispatch. Customize the model parameters of dispatch simulation hydrodynamics, water quality, and operation time step, and control and dynamically adjust the dispatch status of sewage lift stations and storage tanks in real time;

[0072] Consultation and decision-making module: Provide an online consultation and discussion platform for the scheduling rehearsal of corresponding problems in the operation of all elements of the drainage system, plant network, river and lake, and important consultation scenarios for emergency response to emergencies. Based on a single picture, it aggregates and displays key monitoring, early warning, and rehearsal data to assist in the scientific decision-making of emergency response and rehearsal plans. For sudden water quality abnormalities and typhoon and rainstorm emergency events, it provides consultations with abnormal point locations, water quantity and quality monitoring, and rainfall process information to assist in emergency response. Emergency consultations are conducted based on the diagnosis of drainage problems in pipeline networks, pumping stations, reservoirs, interception gate valves, sewage treatment plants, and river water quantity and quality drainage, as well as the rehearsal results of various scheduling plans for forecasting and early warning of network pools, plants, and rivers.

[0073] Dispatching control module: According to the joint dispatching and control scheme of pumping stations, reservoirs, gate valves, and multiple sewage treatment plants determined by the dispatching rehearsal and consultation decision, the module conducts linkage control over pumping stations, reservoirs, gate valves, and various drainage facilities of multiple sewage treatment plants, and supports manual review, modification, and confirmation;

[0074] Emergency response module: Build a command and control "one map" that integrates personnel, vehicles, materials and event information, establish an emergency command and dispatch application for urban drainage, flood control and water pollution emergencies, improve the timeliness of water risk management and control, and improve the efficiency of emergency response to urban water risk issues.

[0075] Beneficial effects of the invention: The invention fully integrates the hydrological, hydrodynamic and water quality model of the urban drainage system, the deep reinforcement learning model, the collaborative intelligent scheduling system, the operation monitoring data and the drainage facility attribute data, constructs an integrated scheduling system of "plant-station-network", establishes a water quantity and water quality spatiotemporal scheduling mechanism at the scale of the urban drainage network, improves the operation analysis capability, scheduling supervision capability and intelligent decision-making capability of the drainage system, and realizes the refined collaborative operation of various facilities. Specifically, the following beneficial effects are included:

[0076] 1. Comprehensive monitoring and real-time alarm: The system can monitor all aspects of the drainage system in real time, including source, network, station, plant, pool, well, river, etc., detect abnormalities and alarm in time to ensure safe and stable operation of the system.

[0077] 2. Accurate forecasting and early warning: Based on urban rainfall forecasts, pipe network water level and flow forecasts, etc., the system can predict possible abnormal situations in advance and issue early warnings to provide strong support for scheduling decisions.

[0078] 3. Intelligent problem diagnosis: By analyzing data such as the amount and quality of water entering and leaving the plant, and the operation of pumping stations and storage tanks, the system can automatically diagnose problems in the operation of the drainage system and improve the efficiency and accuracy of problem solving.

[0079] 4. Optimize operation and scheduling: The system aims to minimize economic operation costs, combines model prediction and optimization algorithms to generate optimal scheduling plans, reduce operation costs, and improve system efficiency.

[0080] 5. Multi-scenario scheduling preview: Provides functions such as multi-scenario custom switching and model parameter setting to help prevent and control drainage system operation risks and improve operation efficiency.

[0081] 6. Online consultation and decision-making: Provide an online consultation and discussion platform for problem scheduling rehearsals and emergency response to emergencies during the operation of all elements of the drainage system, to assist in scientific decision-making.

[0082] 7. Linkage control and manual review: According to the scheduling plan, the system can realize linkage control of various drainage facilities, and support manual review, modification and confirmation to ensure the accuracy and safety of the control strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] Figure 1 It is a simplified diagram of the overall business process of the scheduling decision system;

[0084] Figure 2 It is a schematic diagram of the problem diagnosis principle in the scheduling decision system;

[0085] Figure 3 It is a schematic diagram of the technical route of the scheduling plan in the scheduling decision system;

[0086] Figure 4 It is a schematic diagram of the monitoring and alarm module in the dispatching decision-making system;

[0087] Figure 5 It is a schematic diagram of the forecast and warning module in the dispatch decision system;

[0088] Figure 6 It is a schematic diagram of the problem diagnosis module in the scheduling decision system;

[0089] Figure 7 It is a schematic diagram of the scheduling preview module in the scheduling decision system;

[0090] Figure 8 It is a schematic diagram of the consultation decision module in the scheduling decision system;

[0091] Fig. 9 It is a schematic diagram of the operation optimization module in the scheduling decision system;

[0092] Fig.10 This is a schematic diagram of runoff prediction for the inlet 01YS1862 of the rainwater pipe on Jiefang Road in Lu'an City;

[0093] Fig.11 Design schematic diagrams for integrated scheduling strategies for multiple scenarios;

[0094] Fig.12 This is a schematic diagram of the pollutant scour prediction of the entrance of the rainwater pipe 01YS1862 on Jiefang Road, Lu'an City, Anhui Province;

[0095] Fig.13 This is a schematic diagram of the sewage prediction of 01WS2681 upstream of the Lu'an Jiefang Road sewage pipe formed using the LSTM sewage prediction model;

[0096] Fig.14 This is a schematic diagram of the simulation and prediction of water quantity and quality of the underground drainage system in the Jingsan Road area of ​​Lu'an formed using the LSTM confluence analysis model;

[0097] Fig.15 This is a schematic diagram of the optimization scheduling related content generated based on the Chengnan and Fenghuangqiao areas of Lu'an City;

[0098] Fig.16 This is a schematic diagram of the optimized dispatching plan generated based on the Chengnan and Fenghuangqiao areas of Lu'an City;

[0099] Fig.17 Application effect for Lu'an Figure 1 ;

[0100] Fig.18 Application effect for Lu'an Figure 2 ;

[0101] Fig.19 Flowchart of the model predictive control steps. DETAILED DESCRIPTION

[0102] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0103] Embodiment 1: A dispatching decision method applicable to integrated management of plant, grid and river, comprising the following steps:

[0104] Step S1: Summarize and organize the geographic information data, pipeline network background data, pump, sluice, weir, pond and plant data in the study area, delineate each drainage area, monitor and perceive the multi-source water information data in the city through flow meters, liquid level meters, water quality monitoring stations, and plant and station gateway IoT sensing devices, monitor the drainage elements of each drainage area source, network, station, plant, pond, well, and river in real time, dynamically analyze the water volume and water quality of each area's inflow and outflow, and identify abnormal alarms;

[0105] Step S2: Based on the historical rainfall data of the urban area, the fused-corrected short-term and medium-term forecast rainfall, and the outlet flow / water level and water quality data, a deep learning analysis of the rain-flood-water quality relationship is performed to predict the future flow / water quality process of the outlet using the forecast rainfall data as the trigger condition for the regular scheduling of the drainage system;

[0106] Fig.10 The runoff prediction of 01YS1862 at the entrance of the rainwater pipe of Jiefang Road, Lu'an City, Anhui Province was formed according to this method;

[0107] Step S3: Delineate different dispatching scenarios, and design integrated dispatching strategies for multiple scenarios such as "grid-station-factory", "grid-pool-factory", "grid-station-river", and "grid-factory-river" under rainless and rainy conditions;

[0108] The design of the integrated dispatching strategy of “network-station-factory” includes:

[0109] Dispatching objectives: The safest operation of the pipeline network and the most economical operation of the pump station;

[0110] Control elements: sewage lifting pump station;

[0111] Scheduling constraints: The pipe network does not overflow and the sewage treatment plant does not operate overloaded;

[0112] Dispatching process: During low flow at night, the high water level of the pipe network upstream of the pump station collection pool is used to lower the liquid level of the pipe network downstream of the pump station, reduce the lifting head and the number of units started, reduce energy consumption, and relieve the processing pressure of the sewage treatment plant; when the incoming water is increased, the pump station is used to quickly pump out the sewage in the pipe network so that the sewage in the pipe network enters the sewage treatment system as soon as possible, avoiding high liquid level operation of the pipe network, reducing the drainage pressure of the pipe network, and ensuring the safe operation of the pipe network.

[0113] The design of the integrated dispatching strategy of “network-pool-plant” includes:

[0114] Dispatching objectives: Minimum pollution from overflow at the outlet, minimum overflow from the inspection well, most economical operation of the pump station, and most stable operation of the sewage treatment plant;

[0115] Control elements: storage tank;

[0116] Scheduling constraints: The inflow of water to the sewage treatment plant does not exceed the load, the water quality does not fall below the lower limit of the sewage treatment plant, the water level of the regulating reservoir does not exceed the upper limit of the water storage, and the initial rainwater does not overflow the river;

[0117] Dispatching process: start the submersible sewage pump in the regulating and storage tank before the rain to lower the liquid level in the pipe network and free up the water capacity of the air conditioning and storage tank; when the pollutant concentration is high at the beginning of rainfall, allow sewage to enter the regulating and storage tank to avoid overflow pollution; in the middle of rainfall, when the pollutant concentration is lower than the lower limit of the sewage treatment plant and the regulating and storage tank and the sewage treatment plant are operating at high load, reduce the number of pump stations started, reduce the flow into the plant, and ensure the safety of the plant and the pool; in the late stage of rainfall, the pump station is used to pump out and lower the liquid level in the pipe network and the water level in the storage tank to avoid high-load operation affecting the life of the network pool.

[0118] The design of the integrated dispatching strategy of “network-station-river” includes:

[0119] Dispatching objectives: the safest operation of the pipeline network and the most economical energy consumption of the pumping station;

[0120] Control elements: Stormwater pumping station;

[0121] Scheduling constraints: The pipe network does not overflow and the river water level does not exceed the flood level;

[0122] Dispatching process: When the rainfall intensity is low, the water level of the outer river is not high, and the water quality is good, the pump station will not be opened; when the rainfall intensity is high, the water level of the outer river is slightly supported, and the water quality is good, but the liquid level in the pipeline network is not high, the rainwater pump station will not be opened temporarily, and the rainwater will be stored in the pipeline network and the front pool of the pump station to maintain a high water level. The pump station will be opened after the water level in the river drops to reduce energy consumption; when the pipeline network and the river continue to operate at a high liquid level, the water quality of the outer river is poor and the rainfall continues to increase, the pump station will be opened to ensure flood control and drainage safety and improve the water quality of the river.

[0123] The design of the integrated dispatching strategy of “grid-plant-river” includes:

[0124] Scheduling target: maximum water replenishment for river ecology;

[0125] Control elements: sewage treatment plants;

[0126] Scheduling constraints: The concentration of pollutants in the sewage treatment plant shall not be higher than that in the inland river; the lower limit of the river ecological landscape water level; the upper limit of the river flood control water level;

[0127] Dispatching process: When the water quality of urban rivers is poor and the water level is lower than the lower limit of the ecological landscape water level, the tail water of the sewage treatment plant will be discharged into the urban rivers to reduce the concentration of pollutants in the urban rivers, increase the water level of the urban rivers, and avoid affecting the landscape effect due to low water levels.

[0128] Step S4: Based on the urban topography and pipe network topology, simulate the flow generation of sub-catchment units and their confluence process to the confluence point, simulate the generation and transmission process of surface runoff and non-point source pollution, and realize the simulation and prediction of non-point source pollution, which serves as the upper boundary of pollutant accumulation and erosion and hydrodynamic water quality model; at the same time, use the LSTM confluence analysis model to simulate the confluence process in areas where pipe network data is missing or of poor quality, to make up for the problem of insufficient simulation accuracy of the hydrodynamic water quality model in this area;

[0129] Pollutant accumulation simulates the growth law of surface pollutant accumulation over time; it is calculated using the saturation function method, assuming that the pollution accumulation and time have a saturation function relationship;

[0130] Pollutant washoff simulates the erosion of the ground surface and the dissolution of pollutants during the runoff period. It is calculated using the exponential function method, assuming that the amount of pollutant washoff is proportional to the amount of pollutant accumulation and has an exponential relationship with the runoff volume.

[0131] Furthermore, the saturation cumulative function: m B (t d )=B max t d / (K B +t d );

[0132] Exponential washoff function:

[0133]

[0134] Where: m B is the pollutant accumulation per unit area; t d is the cumulative time; B max is the maximum accumulation of pollutants; K B is the half-saturation constant of the accumulation process; w is the amount of pollutant flushing per unit time; K W is the scour coefficient; q is the runoff rate; N W is the runoff index.

[0135] like Fig.12 , 13 14 are respectively the pollutant scour prediction diagram of 01YS1862 at the entrance of the Jiefang Road rainwater pipe in Lu'an City, Anhui Province formed according to this method, the sewage prediction diagram of 01WS2681 upstream of the Jiefang Road sewage pipe in Lu'an formed by using the LSTM sewage discharge prediction model, and the water quantity and quality simulation prediction diagram of the underground drainage system in the Jingsan Road area of ​​Lu'an formed by using the LSTM confluence analysis model.

[0136] Step S5: Design a coordinated control and operation strategy of "drainage source-pipeline network-pump station-wastewater treatment plant forebay" in combination with local conditions and needs, use the finite difference method to solve the Saint-Venant equations and the one-dimensional convection-diffusion equation, and preview the change process of water level, flow and water quality of the drainage system under different scheduling schemes. Use dynamic integration and system simulation theory, take the operation needs of the drainage system as the goal, and build a multi-objective optimization model for joint control. Integrate the optimization model and the mechanism model through the "simulation-optimization" mode, and use the optimization algorithm to solve the best joint scheduling plan for related facilities in the system; Fig.15 Related content for optimized dispatching generated based on the Chengnan and Fenghuangqiao areas of Lu'an City:

[0137] The Saint-Venant equations are:

[0138] Continuity

[0139] momentum

[0140] Where: Q is the flow rate, m 3 / s; q is the lateral inflow, m 3 / s; A is the water flow area, m 2 ; h is the water level, m; R is the hydraulic radius, m; C is the Xie Cai coefficient; a is the momentum correction coefficient.

[0141] In step S5, the specific process of constructing the multi-objective optimization model for joint regulation is as follows:

[0142] Using dynamic integration and system simulation theory, taking the drainage system operation demand as the goal, a multi-objective optimization model of "plant-station-network" joint regulation is constructed. The optimization model structure includes objectives / objective functions, control variables / operations, and constraints; Fig.19 As shown, the model predictive control steps are as follows:

[0143] ① At the current moment, use the prediction model to predict the situation between time a and time b;

[0144] ② Bring the predicted situation into an optimization model for calculation to obtain the optimal parameters and control strategy / scheme between time a and time b;

[0145] ③Complete the calculation before time a and use the solution for control;

[0146] ④Move back at time a and b and repeat the above steps;

[0147] The multi-objective optimization solution method is selected according to actual needs:

[0148] Linear weighted method: according to the importance of each goal, weights are set to convert multiple goals into a single-goal optimization problem;

[0149] Main goal method: select the most important sub-goal from K goals as the optimization goal, and the remaining sub-goals as constraints. Each sub-goal is constrained by an upper bound.

[0150] Approximation target method: let the decision maker propose a target value so that each objective function is as close to the corresponding target value as possible;

[0151] Pareto optimality: operates directly based on the original objective function and value, can be applied to any objective and any function, and its optimal solution is a set.

[0152] The optimization algorithm is as follows:

[0153] Step S501 objective function gives the following example for maximizing the comprehensive benefits of overflow pollution and power plant energy consumption in the case of initial rain:

[0154] The weighted sum of total objectives 1 and 2 is minimal:

[0155] min f=min(k 1 f 1 +k 22 );

[0156] Where: f represents the standardized value of the total target of the optimization algorithm, f 1 represents the minimum standardized value of initial rain overflow pollution of target 1, f 2 represents the standardized value of total energy consumption of sewage treatment plants and pumping stations in target 2, k 1 , k 2 Respectively represent the weight coefficients of target 1 and target 2;

[0157] Goal 1: Minimize pollution from initial rain overflow:

[0158]

[0159] Where: f 1 Indicates the minimum standardized value of initial rain overflow pollution of target 1, C l,t represents the outflow water quality concentration at the overflow point l at time t, Q OS l,t represents the sewage outflow rate at the overflow point l at time t, and Δt represents the time difference;

[0160] Goal 2: Minimize the total energy consumption of sewage treatment plants and pumping stations:

[0161]

[0162] Where: f 能represents the standardized value of total energy consumption of sewage treatment plant and pumping station in target 2, ρ is the standardized coefficient of conversion of tons of water, q k,t represents the inflow rate of the kth sewage treatment plant at time t, Δt represents the time difference, β k,t represents the water and electricity consumption per ton of sewage at the kth sewage treatment plant at time t, λ i,j,t is a constant, its value is 0 or 1, 0 means the pump is off, 1 means the pump is on, N i,j,t represents the pump power of the jth pump in the i-th pump station at time t, η i,t,j Represents the pump motor efficiency of the jth pump in the i-th pump station at time t.

[0163] Step S502: generating a set of initial dispatching rules within the feasible domain; the initial dispatching rules are operation dispatching rules for flow limiting gates, movable weirs, and pumping facilities in the drainage system at each control step length based on the daily operation experience of the plant and station network;

[0164] Step S503: According to the dispatching rules, the integrated dispatching model of "plant-station-network" is used to simulate the water quantity and water quality joint dispatching process, and the water level, flow rate, flow velocity and water quality of the characteristic points are screened by using constraint conditions, and relevant evaluation indicators are counted;

[0165] Step S504: converting the index into a fitness value of the intelligent optimization method to evaluate all scheduling rules;

[0166] Step S505: Determine whether the stop condition is met. If yes, stop the iteration. Otherwise, generate new scheduling rules through the intelligent optimization method, repeat the simulation-optimization process, and determine the optimized scheduling plan.

[0167] like Fig.16 As shown, this is an optimized scheduling plan generated based on the Chengnan and Fenghuangqiao areas of Lu'an City.

[0168] Step S6: Based on the optimized dispatching plan generated in S5, dispatching control instructions are generated, and manual review, modification and confirmation are supported, supporting the monitoring and control of the operating status of pumps, gates and valves and the integrated automatic operation control of the project.

[0169] Finally, the actual results achieved by this scheme are as follows: the liquid level in the forebay of the water inlet pump house of the Chengbei sewage treatment plant in Lu'an was significantly reduced, the COD of the water inlet pump house of the Chengbei plant was improved, the number of start-up and shutdown times of the pump station was reduced, and the liquid level of some prone points in Lu'an was reduced (such as Fig.17 and 18 shown).

[0170] like Figures 1 to 9 As shown, the present invention also discloses a plant-grid-river integrated dispatching decision system, which includes the following modules:

[0171] Monitoring and alarm module: used for real-time monitoring and abnormal alarm of drainage elements such as source, network, station, plant, pool, well and river; video monitoring and abnormal alarm of operation status of key control and treatment facilities; dynamic analysis of water volume and water quality of inflow and outflow in each zone, and abnormal alarm;

[0172] Forecast and warning module: Based on the urban rainfall forecast results, it warns of short-term heavy rainfall in the future; based on the drainage network, sewage treatment plant, river water level, flow, and water quality forecast results, it warns of waterlogging overflow in the network, overload operation of the water plant, and water level support at the outlet river; based on the operating status of the reservoir and pump station units before the rain, it warns of high water levels in the reservoir before the rain and abnormal start and stop of the pump station units;

[0173] Problem diagnosis module: Analyze and diagnose the causes of abnormal operation of sewage treatment plants based on the water volume and quality of sewage treatment plants, the operation of pump stations and storage tanks; identify, classify and locate problem areas based on fixed-point online monitoring, big data analysis algorithms and water volume and quality characteristics; analyze abnormal discharge outlets and identify companies that leak water based on water quality characteristic factors of the assessment section and the relationship between the upstream and downstream sections, and assist in tracing the source of the problem;

[0174] Operation optimization module: for the daily operation of the plant, the optimization goal is to minimize the economic operation cost of the pump station and the sewage treatment plant, and the safety operation restrictions of the pipe network and the sewage treatment plant are used as constraints. Combined with model prediction, the optimization algorithm is used to generate the optimal scheduling plan; the functions include scheduling condition constraints, and provide corresponding optimization goals and constraint conditions for the daily economic operation scenarios of the plant;

[0175] Dispatch rehearsal module: provides customized switching of multiple scenarios for dispatch simulation, model parameter setting, dynamic control of multiple facilities, and comprehensive simulation service platform for multiple factors, to prevent and control the operation risks of drainage systems, improve operation efficiency, and reduce operation costs. According to rainfall and dispatch facilities, determine the dispatch scenarios of "network-station-plant", "network-tank-plant", "network-station-river", and "river-station-gate" under rainfall overflow pollution control and steady-state operation dispatch, and rainless cost reduction and efficiency increase dispatch. Customize the model parameters of dispatch simulation hydrodynamics, water quality, and operation time step, and control and dynamically adjust the dispatch status of sewage lift stations and storage tanks in real time;

[0176] Consultation and decision-making module: Provide an online consultation and discussion platform for the scheduling rehearsal of corresponding problems in the operation of all elements of the drainage system, plant network, river and lake, and important consultation scenarios for emergency response to emergencies. Based on a single picture, it aggregates and displays key monitoring, early warning, and rehearsal data to assist in the scientific decision-making of emergency response and rehearsal plans. For sudden water quality abnormalities and typhoon and rainstorm emergency events, it provides consultations with abnormal point locations, water quantity and quality monitoring, and rainfall process information to assist in emergency response. Emergency consultations are conducted based on the diagnosis of drainage problems in pipeline networks, pumping stations, reservoirs, interception gate valves, sewage treatment plants, and river water quantity and quality drainage, as well as the rehearsal results of various scheduling plans for forecasting and early warning of network pools, plants, and rivers.

[0177] Dispatching control module: According to the joint dispatching and control scheme of pumping stations, reservoirs, gate valves, and multiple sewage treatment plants determined by the dispatching rehearsal and consultation decision, the module conducts linkage control over pumping stations, reservoirs, gate valves, and various drainage facilities of multiple sewage treatment plants, and supports manual review, modification, and confirmation;

[0178] Emergency response module: Build a command and control "one map" that integrates personnel, vehicles, materials and event information, establish an emergency command and dispatch application for urban drainage, flood control and water pollution emergencies, improve the timeliness of water risk management and control, and improve the efficiency of emergency response to urban water risk issues.

[0179] The above embodiments are only preferred technical solutions of the present invention and should not be regarded as limiting the present invention. The protection scope of the present invention shall be the technical solutions recorded in the claims, including equivalent replacement solutions of the technical features in the technical solutions recorded in the claims. That is, equivalent replacement improvements within this scope are also within the protection scope of the present invention.

Claims

1. A dispatching decision method suitable for integrated management of plant, grid and river, characterized by: It includes the following steps: Step S1: Summarize and organize the geographic information data, pipeline network background data, pump, sluice, weir, pond and plant data in the study area, delineate each drainage area, monitor and perceive the multi-source water information data in the city through flow meters, liquid level meters, water quality monitoring stations, and plant and station gateway IoT sensing devices, monitor the drainage elements of each drainage area source, network, station, plant, pond, well, and river in real time, dynamically analyze the water volume and water quality of each area's inflow and outflow, and identify abnormal alarms; Step S2: Based on the historical rainfall data of the urban area, the fused-corrected short-term and medium-term forecast rainfall, and the outlet flow / water level and water quality data, a deep learning analysis of the rain-flood-water quality relationship is performed to predict the future flow / water quality process of the outlet using the forecast rainfall data as the trigger condition for the regular scheduling of the drainage system; Step S3: Delineate different dispatching scenarios, and design integrated dispatching strategies for multiple scenarios including "grid-station-factory", "grid-pool-factory", "grid-station-river", and "grid-factory-river" under rainless and rainy conditions; Step S4: Based on the urban topography and pipe network topology, simulate the flow generation of sub-catchment units and their confluence process to the confluence point, simulate the generation and transmission process of surface runoff and non-point source pollution, and realize the simulation and prediction of non-point source pollution, which serves as the upper boundary of pollutant accumulation and erosion and hydrodynamic water quality model; at the same time, use the LSTM confluence analysis model to simulate the confluence process in areas where pipe network data is missing or of poor quality, to make up for the problem of insufficient simulation accuracy of the hydrodynamic water quality model in this area; Step S5: Design a coordinated control and operation strategy of "drainage source-pipeline network-pump station-wastewater treatment plant forebay" in combination with local conditions and needs, use the finite difference method to solve the Saint-Venant equations and the one-dimensional convection-diffusion equation, and preview the change process of water level, flow and water quality of the drainage system under different scheduling schemes. Use dynamic integration and system simulation theory, take the operation needs of the drainage system as the goal, and build a multi-objective optimization model for joint control. Integrate the optimization model and the mechanism model through the "simulation-optimization" mode, and use the optimization algorithm to solve the best joint scheduling plan for related facilities in the system; Step S6: Based on the optimized dispatching plan generated in S5, a dispatching control instruction is generated, and manual review, modification and confirmation are supported, and the operation status monitoring and control of pumps, gates and valves and engineering integrated joint automatic operation control are supported; In step S5, the optimization algorithm is as follows: Step S501: determine the objective function and formulate constraints; Step S502: generating a set of initial dispatching rules within the feasible domain, wherein the initial dispatching rules are operation dispatching rules for flow limiting gates, movable weirs, and pumping facilities in the drainage system at each control step length based on the daily operation experience of the plant and station network; Step S503: According to the dispatching rules, the integrated dispatching model of "plant-station-network" is used to simulate the joint dispatching process of water quantity and water quality, and the water level, flow rate, flow velocity and water quality of the characteristic points are screened by using constraint conditions, and relevant evaluation indicators are counted; Step S504: converting the index into a fitness value of the intelligent optimization method to evaluate all scheduling rules; Step S505: Determine whether the stop condition is met. If yes, stop the iteration. Otherwise, generate new scheduling rules through the intelligent optimization method, repeat the simulation-optimization process, and determine the optimized scheduling plan.

2. A dispatching decision method suitable for integrated management of plant, grid and river according to claim 1, characterized in that: In step S3, the design of the "network-station-factory" integrated scheduling strategy includes: Dispatching objectives: The safest operation of the pipeline network and the most economical operation of the pump station; Control elements: sewage lifting pump station; Scheduling constraints: The pipe network does not overflow and the sewage treatment plant does not operate overloaded; Dispatching process: During low flow at night, the high water level of the pipe network upstream of the pump station collection pool is used to lower the liquid level of the pipe network downstream of the pump station, reduce the lifting head and the number of units started, reduce energy consumption, and relieve the processing pressure of the sewage treatment plant; when the incoming water is increased, the pump station is used to quickly pump out the sewage in the pipe network so that the sewage in the pipe network enters the sewage treatment system as soon as possible, avoiding high liquid level operation of the pipe network, reducing the drainage pressure of the pipe network, and ensuring the safe operation of the pipe network.

3. A dispatching decision method suitable for integrated management of plant, grid and river according to claim 1, characterized in that: In step S3, the design of the "network-pool-plant" integrated scheduling strategy includes: Dispatching objectives: Minimum pollution from overflow at the outlet, minimum overflow from the inspection well, most economical operation of the pump station, and most stable operation of the sewage treatment plant; Control elements: storage tank; Scheduling constraints: The inflow of water to the sewage treatment plant does not exceed the load, the water quality does not fall below the lower limit of the sewage treatment plant, the water level of the regulating reservoir does not exceed the upper limit of the water storage, and the initial rainwater does not overflow the river; Dispatching process: start the submersible sewage pump in the regulating and storage tank before the rain to lower the liquid level in the pipe network and free up the water capacity of the air conditioning and storage tank; when the pollutant concentration is high at the beginning of rainfall, allow sewage to enter the regulating and storage tank to avoid overflow pollution; in the middle of rainfall, when the pollutant concentration is lower than the lower limit of the sewage treatment plant and the regulating and storage tank and the sewage treatment plant are operating at high load, reduce the number of pump stations started, reduce the flow into the plant, and ensure the safety of the plant and the pool; in the late stage of rainfall, the pump station is used to pump out and lower the liquid level in the pipe network and the water level in the storage tank to avoid high-load operation affecting the life of the network pool.

4. A dispatching decision method suitable for integrated management of plant, grid and river according to claim 1, characterized in that: In step S3, the design of the "network-station-river" integrated scheduling strategy includes: Dispatching objectives: the safest operation of the pipeline network and the most economical energy consumption of the pumping station; Control elements: Stormwater pumping station; Scheduling constraints: The pipe network does not overflow and the river water level does not exceed the flood level; Dispatching process: When the rainfall intensity is low, the water level of the outer river is not high, and the water quality is good, the pump station will not be opened; when the rainfall intensity is high, the water level of the outer river is slightly supported, and the water quality is good, but the liquid level in the pipeline network is not high, the rainwater pump station will not be opened temporarily, and the rainwater will be stored in the pipeline network and the front pool of the pump station to maintain a high water level. The pump station will be opened after the water level in the river drops to reduce energy consumption; when the pipeline network and the river continue to operate at a high liquid level, the water quality of the outer river is poor and the rainfall continues to increase, the pump station will be opened to ensure flood control and drainage safety and improve the water quality of the river.

5. The dispatching decision method applicable to integrated management of plant, grid and river according to claim 1, characterized in that: In step S3, the design of the "grid-plant-river" integrated dispatching strategy includes: Scheduling target: maximum water replenishment for river ecology; Control elements: sewage treatment plants; Scheduling constraints: The concentration of pollutants in the sewage treatment plant shall not be higher than that in the inland river; the lower limit of the river ecological landscape water level; the upper limit of the river flood control water level; Dispatching process: When the water quality of urban rivers is poor and the water level is lower than the lower limit of the ecological landscape water level, the tail water of the sewage treatment plant will be discharged into the urban rivers to reduce the concentration of pollutants in the urban rivers, increase the water level of the urban rivers, and avoid affecting the landscape effect due to too low water level.

6. A dispatching decision method suitable for integrated management of plant, grid and river according to claim 1, characterized in that: In step S4, the accumulation of pollutants is to simulate the growth law of the accumulation of surface pollutants over time; it is calculated using the saturation function method, assuming that the accumulation of pollutants and time are in a saturated function relationship; Pollutant washoff simulates the erosion of the ground surface and the dissolution of pollutants during the runoff period. It is calculated using the exponential function method, assuming that the amount of pollutant washoff is proportional to the amount of pollutant accumulation and has an exponential relationship with the runoff volume.

7. A dispatching decision method suitable for integrated management of plant, grid and river according to claim 6, characterized in that: Saturation cumulative function: m B (t d )=B max t d / (K B +t d ); Exponential washoff function: Where: m B is the pollutant accumulation per unit area; t d is the cumulative time; B max is the maximum accumulation of pollutants; K B is the half-saturation constant of the accumulation process; w is the amount of pollutant flushing per unit time; K W is the scour coefficient; q is the runoff rate; N W is the runoff index.

8. The dispatching decision method applicable to integrated management of plant, grid and river according to claim 1, characterized in that: The objective function of step S501 is to maximize the comprehensive benefits of overflow pollution and plant energy consumption in the case of initial rain, as follows: The weighted sum of total objectives 1 and 2 is minimal: min f = min (k1f1 + k2f2); Where: f represents the standardized value of the total target of the optimization algorithm, f1 represents the minimum standardized value of initial rain overflow pollution of target 1, f2 represents the standardized value of the total energy consumption of the sewage treatment plant and pumping station of target 2, k1 and k2 represent the weight coefficients of target 1 and target 2 respectively; Goal 1: Minimize pollution from initial rain overflow: Where: f1 represents the minimum standardized value of initial rain overflow pollution of target 1, C l,t represents the outflow water quality concentration at the overflow point l at time t, Q OS l,t represents the sewage outflow rate at the overflow point l at time t, and Δt represents the time difference; Goal 2: Minimize the total energy consumption of sewage treatment plants and pumping stations: Where: f 能 represents the standardized value of total energy consumption of sewage treatment plant and pumping station in target 2, ρ is the standardized coefficient of conversion of tons of water, q k,t represents the inflow rate of the kth sewage treatment plant at time t, Δt represents the time difference, β k,t represents the water and electricity consumption per ton of sewage at the kth sewage treatment plant at time t, λ i,j,t is a constant, its value is 0 or 1, 0 means the pump is off, 1 means the pump is on, N i,j,t represents the pump power of the jth pump in the i-th pump station at time t, η i,t,j Represents the pump motor efficiency of the jth pump in the i-th pump station at time t.

9. The dispatching decision method applicable to integrated management of plant, grid and river according to claim 1, characterized in that: In step S5, the specific process of constructing the multi-objective optimization model for joint regulation is as follows: Using dynamic integration and system simulation theory, taking the drainage system operation demand as the goal, a multi-objective optimization model of "plant-station-network" joint regulation is constructed. The optimization model structure includes objectives / objective functions, control variables / operations, and constraints. The model predictive control steps are as follows: ① At the current moment, use the prediction model to predict the situation between time a and time b; ② Bring the predicted situation into an optimization model for calculation to obtain the optimal parameters and control strategy / scheme between time a and time b; ③Complete the calculation before time a and use the solution for control; ④Move back time a and b and repeat the above steps.

10. A system using the dispatching decision method for integrated plant-grid-river management as claimed in any one of claims 1 to 9, characterized in that: It includes the following modules: Monitoring and alarm module: used for real-time monitoring and abnormal alarm of drainage elements such as source, network, station, plant, pool, well and river; video monitoring and abnormal alarm of operation status of key control and treatment facilities; Dynamically analyze the water volume and quality of water inflow and outflow in each zone, and generate abnormal alarms; Forecast and warning module: Based on the urban rainfall forecast results, it warns of short-term heavy rainfall in the future; based on the drainage network, sewage treatment plant, river water level, flow, and water quality forecast results, it warns of waterlogging overflow in the network, overload operation of the water plant, and water level support at the outlet river; based on the operating status of the reservoir and pump station units before the rain, it warns of high water levels in the reservoir before the rain and abnormal start and stop of the pump station units; Problem diagnosis module: Analyze and diagnose the causes of abnormal operation of sewage treatment plants based on the water volume and quality of sewage treatment plants, the operation of pump stations and storage tanks; identify, classify and locate problem areas based on fixed-point online monitoring, big data analysis algorithms and water volume and quality characteristics; analyze abnormal discharge outlets and identify companies that leak water based on water quality characteristic factors of the assessment section and the relationship between the upstream and downstream sections, and assist in tracing the source of the problem; Operation optimization module: for the daily operation of the plant, the optimization goal is to minimize the economic operation cost of the pump station and the sewage treatment plant, and the safety operation restrictions of the pipe network and the sewage treatment plant are used as constraints. Combined with model prediction, the optimization algorithm is used to generate the optimal scheduling plan; the functions include scheduling condition constraints, and provide corresponding optimization goals and constraint conditions for the daily economic operation scenarios of the plant; Dispatching rehearsal module: provides customized switching of multiple scenarios for dispatching simulation, model parameter setting, dynamic regulation of multiple facilities, and comprehensive simulation service platform of multiple factors, to prevent and control the operation risks of drainage systems, improve operation efficiency, and reduce operation costs; according to rainfall and dispatching facilities, it determines the dispatching scenarios of "network-station-plant", "network-tank-plant", "network-station-river", and "river-station-gate" under rainfall overflow pollution control and steady-state operation dispatching, and rainless cost reduction and efficiency increase dispatching; it customizes the model parameters of dispatching simulation hydrodynamics, water quality, and operation time step, and controls and dynamically adjusts the dispatching status of sewage lifting pump stations and storage tanks in real time; Consultation and decision-making module: Provide an online consultation and discussion platform for the scheduling rehearsal of corresponding problems in the operation of all elements of the drainage system, plant network, river and lake, and important consultation scenarios for emergency response to emergencies. Based on a single picture, it aggregates and displays key monitoring, early warning, and rehearsal data to assist in the scientific decision-making of emergency response and rehearsal plans. For sudden water quality abnormalities and typhoon and rainstorm emergency events, it provides consultations with abnormal point locations, water quantity and quality monitoring, and rainfall process information to assist in emergency response. Emergency consultations are conducted based on the diagnosis of drainage problems in pipeline networks, pumping stations, reservoirs, interception gate valves, sewage treatment plants, and river water quantity and quality drainage, as well as the rehearsal results of various scheduling plans for forecasting and early warning of network pools, plants, and rivers. Dispatching control module: According to the joint dispatching and control scheme of pumping stations, reservoirs, gate valves, and multiple sewage treatment plants determined by the dispatching rehearsal and consultation decision, the module conducts linkage control over pumping stations, reservoirs, gate valves, and various drainage facilities of multiple sewage treatment plants, and supports manual review, modification, and confirmation; Emergency response module: Build a command and control "one map" that integrates personnel, vehicles, materials and event information, establish an emergency command and dispatch application for urban drainage and flood control and water pollution emergencies, improve the timeliness of water risk management and control, and improve the efficiency of emergency response to urban water risk issues.

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