Dynamic simulation cooperative regulation and control method for urban water system

Abstract

The invention discloses a dynamic simulation cooperative regulation and control method for an urban water system. Comprising the following steps of demand analysis and target setting, data collection and analysis, modeling and simulation, simulation analysis and verification, collaborative regulation and control strategy making, implementation and monitoring, and evaluation and improvement. In a demand analysis and target setting stage, key problems are identified through investigation and research, and water-saving, energy-saving and carbon emission reduction targets are set. In the data collection and analysis stage, data of water resources, energy consumption and carbon emission are collected, processed and analyzed. In the modeling and simulation stage, multi-agent modeling and system dynamics modeling are adopted, and an urban water system dynamic simulation platform is constructed. In the simulation analysis and verification stage, simulation models under different scenes are operated, the accuracy and reliability of the models are verified, the simulation models and regulation and control strategies are optimized, efficient utilization of urban water resources is achieved, energy consumption and carbon emission are reduced, and sustainable development of the urban ecological environment and social economy is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of urban water system management, and in particular to a method for dynamic simulation and coordinated regulation of an urban water system. Background Art

[0002] With global climate change and the acceleration of urbanization, urban water systems are facing unprecedented challenges. Urban water systems not only have the task of providing reliable drinking water and treating wastewater for residents, but also need to support the city's industrial and agricultural water needs. In this process, the efficiency of water resource utilization, energy consumption, and carbon emissions management have become key issues that need to be addressed.

[0003] In existing technologies, the management of urban water systems is usually to optimize and adjust each subsystem independently. For example, the water supply system may improve water supply efficiency by increasing water sources and optimizing pipe networks; the sewage treatment system may reduce pollutant emissions by improving treatment processes; and energy management may reduce energy consumption and carbon emissions by introducing renewable energy and improving equipment efficiency. However, this decentralized management method has obvious limitations and fails to comprehensively consider the complex relationship between water resources, energy and carbon emissions, resulting in limited optimization effects in each link.

[0004] To this end, we proposed a dynamic simulation and coordinated control method for urban water systems. Summary of the invention

[0005] The purpose of the present invention is to provide a method for dynamic simulation and coordinated regulation of urban water systems, which has the advantages of efficient water saving, energy saving and carbon reduction, and solves the problem of insufficient coordinated management between water resources, energy and carbon emissions in the prior art.

[0006] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a method for dynamic simulation and coordinated regulation of urban water systems, comprising the following steps: S1, demand analysis and goal setting; S2, data collection and analysis; S3, modeling and simulation; S4, simulation analysis and verification; S5, coordinated regulation strategy formulation; S6, implementation and monitoring; S7, evaluation and improvement.

[0007] Preferably, the demand analysis and goal setting specifically include: S11, identifying key issues: through investigation and research, identifying key issues such as low water resource utilization efficiency, high energy consumption and large carbon emissions in urban water systems; evaluating the impact of the above issues on urban ecological environment and social and economic development, and providing direction for subsequent data collection; S12, setting water-saving goals: determining goals for reducing domestic, industrial and agricultural water consumption; improving sewage treatment and rainwater reuse rates, ensuring efficient use of water resources, and paying attention to the above data in data collection; S13, formulating energy-saving goals: optimizing the energy use structure and reducing the use of high-energy consumption equipment; improving energy utilization efficiency, promoting energy-saving technologies and equipment, and guiding the collection of energy data based on the goals; S14, determining carbon reduction targets: formulating specific measures to reduce greenhouse gas emissions and promoting the application of low-carbon technologies and clean energy; setting phased carbon reduction targets, and establishing a corresponding assessment mechanism as the basis for carbon emission data collection and analysis, and providing direction and requirements for data collection and analysis in step S2.

[0008] Preferably, the data collection and analysis specifically include: S21, water resource data collection: collect the supply and use of urban surface water and groundwater to ensure that the set water-saving goals are met; monitor rainwater reuse and sewage treatment data to achieve the set efficient utilization goals; S22, energy consumption data collection: obtain energy usage data, including electricity, natural gas, and coal, to ensure compliance with energy-saving goals; record the purpose and consumption of energy use, and optimize the energy structure; S23, carbon emission data collection: collect carbon emission data from all links, including direct emissions and indirect emissions, to ensure compliance with carbon reduction goals; monitor greenhouse gas emission sources, record their emissions and changing trends, and provide data for the model; S24, data processing and analysis: clean and organize the collected data to ensure the integrity and accuracy of the data, and provide reliable data for the modeling and simulation in step S3; use statistical analysis methods to identify data patterns and key influencing factors, analyze the relationship between water resources, energy and carbon emissions, and provide a basis for subsequent modeling.

[0009] Preferably, the modeling and simulation specifically include: S31, multi-agent modeling (ABM): simulate the behavior and decision-making process of different decision-making subjects in water resource utilization, energy consumption and carbon emissions, using the data analysis results of the previous step; establish an interaction model between the subjects, analyze the impact of their behavior on the overall system, and combine the actual data in the data collection and analysis of step S2; S32, system dynamics modeling (SD): construct a dynamic interaction model between water resources, energy and carbon emissions, based on the data processing results of the previous step; analyze the impact of different factors on the dynamic changes of the system, and predict the future behavior and trend of the system; S33, model integration and simulation platform: integrate ABM and SD models to form a comprehensive urban water system dynamic simulation platform; run different scenarios on the simulation platform, analyze the impact of policies, technologies and environmental changes on the system, provide a basis for the simulation analysis and verification in step S4, and use the simulation model to directly use it for subsequent simulation analysis and verification.

[0010] Preferably, the simulation analysis and verification specifically include: S41, scenario setting: formulate different simulation scenarios, including policy changes, environmental disturbances and economic development, according to the model and data of the previous step; set the specific parameters and change conditions of each scenario to ensure the diversity and representativeness of the scenarios; S42, simulation operation: run the simulation model, observe the dynamic response of the system under different scenarios, record the changes of various indicators, and verify the accuracy and reliability of the model; S43, model verification: compare the simulation results with the actual observation data to verify the accuracy and reliability of the model; according to the verification results, adjust the model parameters and structure to ensure the accuracy and applicability of the model; the verified model is used for the formulation of the coordinated control strategy in step S5 to ensure the scientificity and feasibility of the strategy.

[0011] Preferably, the formulation of the coordinated control strategy specifically includes: S51, coordinated mechanism analysis: in-depth analysis of the coordinated relationship between water resources, energy and carbon emissions, identification of optimized coordinated mechanisms, based on the results of simulation analysis and verification in step S4; evaluation of the effectiveness and feasibility of different coordinated control strategies to ensure the implementation effect of the strategy; S52, water-saving strategy formulation: improve the reuse rate of rainwater and sewage, reduce water waste, combined with the analysis results of the previous step; optimize the water use structure, improve the efficiency of each water use link, so as to achieve the set water-saving goals; S53, energy-saving measures formulation: promote high-efficiency energy-saving technologies and equipment , reduce energy waste, and utilize the analysis results of the previous step; optimize the energy use structure, increase the proportion of renewable energy use, and achieve energy conservation goals; S54, carbon reduction strategy formulation: reduce the use of high-carbon emission energy, promote low-carbon technology and clean energy; reduce carbon emissions in all links through technological innovation and management optimization to achieve carbon reduction goals; S55, comprehensive control strategy: comprehensively consider the synergistic effects of water, energy, and carbon, and formulate a comprehensive control strategy to achieve efficient resource management and minimize carbon emissions; the formulated strategy will provide guidance for the implementation and monitoring in step S6 to ensure the effective implementation of the strategy.

[0012] Preferably, the implementation and monitoring specifically include: S61, control strategy implementation: execute the formulated control strategy in the actual system to ensure the implementation of measures, combined with the strategy of the previous step; establish an implementation plan and timetable for the control measures, clarify the tasks and responsibilities, and ensure that they are carried out as planned; S62, real-time monitoring system: establish a real-time monitoring system to dynamically track changes in water resources, energy use and carbon emissions; obtain key data in real time through sensors and data acquisition equipment to ensure the timeliness and accuracy of the data, and provide a basis for the evaluation and improvement in step S7; S63, adjustment and optimization: adjust and optimize the control measures in a timely manner according to the monitoring data; form a feedback loop, continuously improve the control strategy, improve the adaptability and responsiveness of the system, and ensure the effectiveness of the evaluation and improvement in step S7.

[0013] Preferably, the evaluation and improvement specifically include: S71, effect evaluation: regularly evaluate the effects of control measures to verify whether the expected water-saving, energy-saving and carbon-reduction targets are achieved; adopt a combination of quantitative and qualitative methods to comprehensively evaluate the effects of control measures, and provide feedback for the demand analysis and target setting in the next round of step S1; S72, model optimization: according to the evaluation results, adjust and optimize the simulation model to improve its accuracy and applicability; continuously update model parameters and structure to ensure that the model can reflect the latest actual situation and provide support for subsequent simulation analysis; S73, control strategy improvement: based on the latest data and evaluation results, optimize the control strategy to ensure dynamic optimization of the system.

[0014] Compared with the prior art, the present invention has the following beneficial effects:

[0015] 1. The present invention achieves the effect of comprehensively considering the complex relationship between water resources, energy and carbon emissions by setting up a modeling and simulation platform that combines system dynamics (SD) and multi-agent modeling (ABM). The platform can simulate the dynamic changes of the system under different scenarios, ensuring the scientificity and feasibility of the regulation strategy.

[0016] 2. The present invention achieves a comprehensive assessment of water resource utilization efficiency, energy consumption and carbon emission issues in urban water systems and the formulation of optimization targets by setting detailed demand analysis and target setting steps. By identifying key issues and setting water conservation, energy conservation and carbon emission reduction targets, it provides a clear direction and basis for subsequent regulatory strategies.

[0017] 3. In the data collection and analysis stage, the present invention fully considers the data requirements of water resources, energy and carbon emissions, and ensures the integrity and accuracy of the data through data cleaning and analysis. This provides reliable data support for subsequent modeling and simulation, and ensures the accuracy and applicability of the model.

[0018] 4. In the simulation analysis and verification process, the present invention ensures the accuracy and reliability of the simulation results through scenario setting and model verification steps. By running different scenarios, it is possible to analyze the impact of policy, technology and environmental changes on the system, thereby formulating a more scientific and effective collaborative control strategy.

[0019] 5. The present invention establishes a real-time monitoring system through the implementation and monitoring steps, which can dynamically track the changes in water resources, energy use and carbon emissions. The acquisition and analysis of real-time monitoring data enables the control measures to be adjusted and optimized in a timely manner according to the actual situation, ensuring the effective implementation of the control strategy.

[0020] 6. The present invention forms a feedback loop through the evaluation and improvement steps to continuously improve the control strategy and enhance the adaptability and responsiveness of the system. The effects of the control measures are regularly evaluated, and the simulation model and control strategy are optimized based on the evaluation results to ensure the dynamic optimization and long-term effectiveness of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a schematic diagram of the dynamic simulation and coordinated regulation of the urban water system of the present invention;

[0022] Figure 2 This is a schematic diagram of the urban water resource supply, demand and circulation system of the present invention;

[0023] Figure 3 This is a step diagram of the method for dynamic simulation and coordinated control of urban water systems of the present invention;

[0024] Figure 4A diagram of the steps for needs analysis and goal setting for the present invention;

[0025] Figure 5 This is a diagram of the data collection and analysis steps of the present invention;

[0026] Figure 6 It is a diagram of the modeling and simulation steps of the present invention;

[0027] Figure 7 It is a simulation analysis and verification step diagram of the present invention;

[0028] Figure 8 Formulate a step diagram for the collaborative regulation strategy of the present invention;

[0029] Fig. 9 It is a diagram of the implementation and monitoring steps of the present invention;

[0030] Fig.10 This is a diagram of the steps for evaluating and improving the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] See also Figures 1 to 10 The present invention relates to a method for dynamic simulation and coordinated regulation of urban water systems. The method comprehensively considers the relationship between water resources, energy and carbon emissions, uses multi-agent modeling (ABM) and system dynamics modeling (SD) technology, establishes a dynamic simulation platform, and realizes the overall optimization and efficient management of urban water systems. The method comprises the following steps:

[0033] Demand analysis and goal setting (S1) to identify key issues in the urban water system, such as low water resource utilization efficiency, high energy consumption and large carbon emissions. Set water conservation, energy conservation and carbon emission reduction goals to provide direction for subsequent data collection and analysis.

[0034] Data collection and analysis (S2): collect data on water resources, energy consumption and carbon emissions, clean and organize the data to ensure data integrity and accuracy. Analyze data patterns and key influencing factors to provide a basis for modeling and simulation.

[0035] Modeling and simulation (S3) uses agent-based modeling (ABM) to simulate the behavior and decision-making process of different decision-makers. Use system dynamics modeling (SD) to build a dynamic interaction model between water resources, energy, and carbon emissions. Integrate ABM and SD models to form a comprehensive urban water system dynamic simulation platform.

[0036] Simulation analysis and verification (S4): formulate different simulation scenarios, run the simulation model, and observe the dynamic response of the system under different scenarios. Verify the accuracy and reliability of the simulation results, and adjust the model parameters and structure according to the results.

[0037] Coordinated control strategy formulation (S5): Analyze the synergistic relationship between water resources, energy and carbon emissions, formulate a comprehensive control strategy, and achieve efficient resource management and minimize carbon emissions. Implementation and monitoring (S6): Execute the formulated control strategy in the actual system, and establish a real-time monitoring system to dynamically track key data. According to the monitoring data, timely adjust and optimize the control measures to ensure the effective implementation of the control strategy. Evaluation and improvement (S7): Regularly evaluate the effect of the control measures, optimize the simulation model and control strategy according to the evaluation results, form a feedback loop, continuously improve, and improve the adaptability and responsiveness of the system. The demand analysis and goal setting specifically include identifying key issues (S11): Through investigation and research, identify the key issues of low water resource utilization efficiency, high energy consumption and large carbon emissions in the urban water system. Evaluate the impact of these issues on the urban ecological environment and social and economic development, and provide direction for subsequent data collection. For example, in the urban water supply system, by analyzing the water use of each link, find out the reasons for low water use efficiency and propose improvement measures. Evaluate the necessity of using high-energy-consuming equipment and find alternatives to reduce energy consumption. Identify sources of carbon emissions, assess their impact on the environment, and develop improvement plans to reduce carbon emissions.

[0038] Set water conservation targets (S12) and determine specific goals for reducing water consumption in life, industry and agriculture, such as promoting the formation of water conservation habits among residents, improving industrial water recycling technology, and improving the efficiency of agricultural irrigation technology.

[0039] Improve the sewage treatment and rainwater reuse rates to ensure efficient use of water resources. In data collection, pay attention to the water consumption, treatment volume, and reuse volume of each water use link to ensure that the set water-saving goals are operational and achievable.

[0040] Set energy-saving goals (S13), optimize the energy use structure, introduce renewable energy, and reduce dependence on traditional energy, such as the application of solar energy and hydropower. Through intelligent control systems, optimize energy use and reduce energy waste.

[0041] Reduce the use of high-energy-consuming equipment, transform or replace it with more energy-efficient equipment and technologies. Promote energy-saving technologies and equipment to reduce overall energy consumption. Guide the collection and analysis of energy data to ensure the effectiveness of energy-saving measures.

[0042] Determine carbon reduction targets (S14), formulate specific measures to reduce greenhouse gas emissions, promote the application of low-carbon technologies and clean energy, and reduce the use of fossil energy. Improve energy efficiency and reduce energy waste and unnecessary carbon emissions.

[0043] Set phased carbon reduction targets. According to the actual situation of the urban water system, formulate phased carbon reduction targets to ensure the gradual realization of the overall goal. Establish a carbon emission assessment mechanism to monitor and evaluate carbon emissions in all links. In data collection, pay attention to carbon emission data, including emissions and change trends in each link, to ensure the integrity and accuracy of the data, and provide a basis for subsequent analysis and decision-making.

[0044] The data collection and analysis specifically includes: S21, water resources data collection

[0045] Collect the supply and use of urban surface water and groundwater, surface water data, including the water supply and use of surface water sources such as rivers, lakes, and reservoirs. Through monitoring stations, these data are collected in real time to ensure that changes in surface water resources can be reflected in a timely manner.

[0046] Groundwater data, including water withdrawal from groundwater wells, groundwater level changes, etc. Use a groundwater monitoring system to regularly collect and update data to ensure the rational use of groundwater resources.

[0047] Ensure that the set water-saving targets are met, compare the actual water consumption with the set water-saving targets, and evaluate whether the expected results have been achieved. If not, analyze the reasons and adjust the water-saving measures.

[0048] Through data analysis, the water use efficiency and water-saving potential of each water use link can be determined to further optimize the water use structure.

[0049] Monitor data on rainwater reuse and sewage treatment. Rainwater reuse includes the amount of rainwater collected, treated and reused. By installing rainwater collection systems and reuse facilities, monitor the actual use of rainwater.

[0050] Wastewater treatment, including the treatment capacity, treatment efficiency and effluent quality of wastewater treatment plants. These data are collected and analyzed regularly to ensure that wastewater treatment achieves the expected efficient utilization goals.

[0051] S22. Energy consumption data collection: Obtain energy usage data, including electricity, natural gas, coal, etc. Electricity data, including electricity consumption in each link of water intake, water transmission, treatment and reuse. By installing electricity meters and intelligent power monitoring systems, electricity consumption data is collected and recorded in real time. Natural gas and coal data, including natural gas and coal usage in heating, power equipment and other links. Data is collected regularly through gas meters and coal usage records.

[0052] Record the purpose and consumption of energy, optimize the energy structure, and record the energy consumption of each link in detail, such as the energy consumption of water intake pumps, processing equipment, water supply pipelines, etc. Through data analysis, identify high energy consumption links and put forward optimization suggestions.

[0053] In line with energy-saving goals, we will adjust the energy usage structure, promote the use of renewable energy, and reduce dependence on traditional energy.

[0054] S23. Carbon emission data collection. Collect carbon emission data from all links, including direct emissions and indirect emissions. Direct emissions include carbon dioxide emissions from burning fossil fuels (such as coal and natural gas). Collect emission data in real time by installing emission monitoring equipment. Indirect emissions include carbon emissions from electricity consumption. Calculate indirect carbon emissions based on electricity usage data and electricity carbon emission coefficients. Monitor greenhouse gas emission sources, record their emissions and changing trends, and provide data for the model. By installing greenhouse gas monitoring equipment, monitor the carbon emissions of each emission source in real time, record emissions and changing trends. Analyze carbon emission data from all links, identify major emission sources, and propose emission reduction measures to provide reliable data support for subsequent modeling.

[0055] S24, data processing and analysis, clean and organize the collected data to ensure the integrity and accuracy of the data, data cleaning, remove noise and outliers in the data, and ensure the authenticity and reliability of the data. Data organization, standardize the data to ensure that the data format is consistent for subsequent analysis and processing. Provide reliable data for the modeling and simulation in step S3, input the cleaned and organized data into the modeling system, ensure that the data input in the modeling process is accurate, and provide a reliable data basis for simulation. Use statistical analysis methods to identify data patterns and key influencing factors, analyze the relationship between water resources, energy and carbon emissions, and provide a basis for subsequent modeling. Data analysis, use statistical analysis methods such as regression analysis, time series analysis, etc. to identify patterns and trends in the data. Key factor identification, by analyzing water resources, energy and carbon emission data, identify key influencing factors, understand the relationship between factors, and provide a basis for modeling.

[0056] The modeling and simulation specifically include: S31, multi-agent modeling (ABM), simulating the behavior and decision-making process of different decision-making subjects in water resource utilization, energy consumption and carbon emissions. The decision-making subjects include different types of subjects such as residents, enterprises, and governments. Each subject has different behaviors and decision-making processes in water resource utilization, energy consumption and carbon emissions. Behavior simulation simulates the behavior of each subject in different situations, such as residents' water use, enterprises' water use and energy consumption in the production process, and the government's decision-making process when formulating and implementing policies. Decision-making process, based on the data analysis results of the previous step, simulates the decision-making process of decision-making subjects in different situations, such as the formation of residents' water-saving habits, the implementation of enterprises' energy-saving and emission reduction measures, etc. Establish an interactive model between the subjects to analyze the impact of their behaviors on the overall system. The interactive model establishes interactive relationships between different subjects, such as water competition between residents and enterprises, and policy impacts between enterprises and the government. Behavior impact analysis, through the model, analyzes the impact of different subjects' behaviors on the overall system, such as the impact of residents' water-saving behavior on the overall water consumption, and the impact of enterprises' energy-saving measures on the overall energy consumption and carbon emissions. Combined with the actual data in the data collection and analysis of step S2, the actual data collected and analyzed in step S2 is used to ensure the accuracy and reliability of the model. The model parameters are corrected by the actual data to ensure that the model can truly reflect the actual situation.

[0057] S32. System dynamics modeling (SD), construct a dynamic interaction model between water resources, energy and carbon emissions, and analyze the interaction and influence between various factors. System structure, construct an overall system structure including multiple subsystems such as water resources supply, energy consumption, carbon emissions, etc., and analyze the dynamic interaction relationship between each subsystem. Analyze the impact of different factors on the dynamic changes of the system. Through the system dynamics model, analyze the impact of different factors on the dynamic changes of the system, such as the impact of policy changes, technological progress, environmental disturbances, etc. on water resource utilization, energy consumption and carbon emissions. Impact analysis, use the model to predict system behavior under different scenarios, such as the impact of policy adjustments on water conservation goals, the impact of technological progress on energy conservation effects, and the impact of environmental changes on carbon emissions.

[0058] Predict the future behavior and trend of the system. Through the system dynamics model, predict the future behavior and trend of the system under different scenarios, such as the trend of water resource utilization, energy consumption and carbon emission in the next few years. Scenario prediction: Based on the model, formulate different scenario prediction plans and analyze the possible behavior and change trend of the system under different scenarios.

[0059] S33. Model integration and simulation platform: Integrate ABM and SD models to form a comprehensive urban water system dynamic simulation platform. Model integration: Integrate multi-agent modeling (ABM) and system dynamics modeling (SD) on a unified simulation platform to form a comprehensive urban water system dynamic simulation platform. Platform design: Design a user-friendly simulation platform that provides functions such as model input, simulation operation, and result output to facilitate users to conduct simulation analysis and decision support. Run different scenarios on the simulation platform to analyze the impact of policy, technology, and environmental changes on the system. Scenario setting: Set different simulation scenarios on the simulation platform, such as policy change scenarios, technology progress scenarios, and environmental disturbance scenarios. Simulation operation: Run the simulation model to observe the dynamic response of the system under different scenarios and record the changes in various indicators. Impact analysis: Analyze the impact of policy, technology, and environmental changes on the system, evaluate the system performance under different scenarios, and put forward optimization suggestions.

[0060] Provide a basis for the simulation analysis and verification in step S4. The results and analysis provided by the simulation platform will be directly used in the subsequent simulation analysis and verification steps to ensure the scientificity and reliability of the model and simulation. Data output, output the simulation results as the basic data for subsequent analysis and decision-making, to ensure the accuracy and feasibility of simulation analysis and verification. The simulation analysis and verification specifically includes: S41, scenario setting

[0061] Different simulation scenarios are formulated, including policy changes, environmental disturbances and economic development. Policy change scenarios include newly issued environmental protection regulations, water resources management policies, energy conservation and emission reduction policies, etc., to simulate the impact of policy implementation on urban water systems. Environmental disturbance scenarios include the impact of extreme weather events (such as floods and droughts) and climate change on water supply and demand, simulating the impact of environmental changes on the system and its adaptability. Economic development scenarios include urban expansion, population growth, industrial structure adjustment, etc., simulating the impact of economic development on water resources, energy consumption and carbon emissions. According to the model and data in the previous step, set the specific parameters and change conditions of each scenario to ensure the diversity and representativeness of the scenario. Specific parameter setting: according to the data collection and analysis results in the previous step, set the specific parameters of each scenario, such as policy implementation time, environmental change amplitude, economic development speed, etc. Change condition setting: set the change conditions under each scenario, such as changes in water resource utilization after the implementation of different policies, changes in water resource supply under different environmental disturbances, and changes in energy consumption at different stages of economic development. Diversity and representativeness: ensure that the set scenarios are diverse and representative, can cover various possible situations, and comprehensively evaluate the response and adaptability of the system.

[0062] S42. Simulation operation: Run the simulation model and observe the dynamic response of the system under different scenarios. Simulation process: Run the set scenarios on the simulation platform and observe the dynamic response of the system under different scenarios, such as changes in water resource utilization, energy consumption, carbon emissions, etc. Dynamic response recording: Record the dynamic response of the system under different scenarios and pay attention to the changes in various indicators, such as water resource supply, water consumption, processing volume, energy consumption, carbon emissions, etc. Record the changes in various indicators to verify the accuracy and reliability of the model. Indicator recording: Record the changes in various indicators under different scenarios in detail to ensure the integrity and accuracy of the data. Model verification: Verify the accuracy and reliability of the model by comparing the simulation results with the actual observation data to ensure that the model can truly reflect the actual situation.

[0063] S43, model verification, compare the simulation results with the actual observation data to verify the accuracy and reliability of the model, data comparison, compare the simulation results with the actual observation data, analyze the differences between the two, and evaluate the accuracy of the model. Error analysis, analyze the error between the simulation results and the actual data, find out the cause of the error, and ensure the reliability of the model. According to the verification results, adjust the model parameters and structure to ensure the accuracy and applicability of the model. Parameter adjustment, adjust the model parameters according to the error analysis results to ensure that the model can more accurately reflect the actual situation. Structural optimization, optimize the model structure according to the verification results, ensure the accuracy and applicability of the model, and improve the prediction ability of the model. The verified model is used for the formulation of the coordinated control strategy in step S5 to ensure the scientificity and feasibility of the strategy. Model output, output the verified model as the basis for the subsequent formulation of the coordinated control strategy to ensure the scientificity and feasibility of the strategy. Strategy support, use the verified model to support the formulation and implementation of the coordinated control strategy, ensure that the strategy can effectively respond to system changes under different scenarios, and achieve optimal management of water resources, energy and carbon emissions.

[0064] The formulation of the coordinated control strategy specifically includes: S51, coordinated mechanism analysis, in-depth analysis of the coordinated relationship between water resources, energy and carbon emissions, coordinated relationship identification, through the simulation analysis and verification results in step S4, the coordinated relationship between water resource utilization, energy consumption and carbon emissions is identified. Mutual impact analysis, analysis of the mutual impact of water resources, energy and carbon emissions in different scenarios, such as the impact of water-saving measures on energy consumption and carbon emissions, the impact of energy-saving measures on water resource utilization and carbon emissions, etc. Based on the results of the simulation analysis and verification in step S4, identify the optimized coordinated mechanism, coordinated mechanism optimization, according to the simulation analysis and verification results, identify and optimize the coordinated mechanism between water resources, energy and carbon emissions, and propose specific optimization plans. Optimization strategy evaluation, evaluate the effectiveness and feasibility of different coordinated control strategies, and ensure that the optimization plan can be effectively implemented in actual operations. Evaluate the effectiveness and feasibility of different coordinated control strategies to ensure the implementation effect of the strategy, effectiveness evaluation, through the simulation model, evaluate the implementation effect of different coordinated control strategies, such as the realization of water-saving goals, energy-saving goals and carbon reduction goals. Feasibility analysis: analyzing the feasibility of different strategies in actual operations, considering technical, economic and environmental factors, and ensuring the operability and sustainability of the strategies.

[0065] S52. Formulate water-saving strategies to increase the reuse rate of rainwater and sewage and reduce water waste. For rainwater reuse, formulate specific measures to increase the rainwater reuse rate, such as increasing rainwater collection and storage facilities and promoting rainwater reuse technology. For sewage reuse, formulate measures to increase the sewage reuse rate, such as improving sewage treatment technology and promoting sewage recycling technology. Combined with the analysis results of the previous step, optimize the water use structure and improve the efficiency of each water use link to achieve the set water-saving goals. For water use structure optimization, optimize the water use structure of each water use link in the city through data analysis and simulation results, improve water use efficiency and reduce water waste. For water-saving technology promotion, promote efficient water-saving technologies and equipment, such as low-water-consumption washing equipment, water-saving irrigation technology, etc., to ensure the improvement of water use efficiency in each link.

[0066] S53. Formulate energy-saving measures, promote high-efficiency energy-saving technologies and equipment, reduce energy waste, and apply high-efficiency equipment to promote the use of high-efficiency energy-saving equipment, such as high-efficiency motors, energy-saving lighting equipment, etc., to reduce energy waste. Promote energy-saving technologies, promote advanced energy-saving technologies, such as smart grids, energy management systems, etc., to improve energy efficiency. Utilize the analysis results of the previous step to optimize the energy use structure, increase the proportion of renewable energy use, and achieve energy-saving goals. Energy structure optimization, optimize the urban energy use structure through simulation analysis, increase the proportion of renewable energy use, such as solar energy, wind energy, etc., and reduce dependence on fossil energy. Promote renewable energy, promote renewable energy technologies and equipment, such as solar photovoltaic power generation systems, wind power generation systems, etc., to achieve energy-saving goals.

[0067] S54. Formulate carbon emission reduction strategies, reduce the use of high-carbon emission energy, promote low-carbon technology and clean energy, promote low-carbon technology, promote low-carbon technology, such as carbon capture and storage technology, low-carbon building technology, etc., to reduce the use of high-carbon emission energy. Clean energy application, promote the use of clean energy, such as natural gas, hydrogen energy, etc., to replace high-carbon emission energy and reduce carbon emissions. Reduce carbon emissions in all links through technological innovation and management optimization to achieve carbon emission reduction goals. Technological innovation, through technological innovation, improve the carbon emission control capabilities of all links, such as improving industrial production processes, optimizing transportation systems, etc. Management optimization, through management optimization, improve the level of carbon emission management, such as establishing a carbon emission monitoring and management system, implementing carbon emission trading, etc., to ensure the realization of carbon emission reduction goals.

[0068] S55, comprehensive control strategy, comprehensively consider the synergistic effects of water, energy and carbon, formulate a comprehensive control strategy, achieve efficient resource management and minimize carbon emissions, comprehensive effect analysis, through simulation analysis, comprehensively consider the synergistic effects of water resources, energy and carbon emissions, and formulate a comprehensive control strategy. Comprehensive strategy formulation, formulate a comprehensive control strategy to achieve efficient use of water resources, energy conservation and minimize carbon emissions, and ensure sustainable management of resources. The formulated strategy will provide guidance for the implementation and monitoring in step S6 to ensure the effective implementation of the strategy. Strategy guidance, take the comprehensive control strategy as the guiding principle for implementation and monitoring to ensure the effective implementation of various measures. Monitoring support, through the real-time monitoring system, dynamically track the implementation effect of the strategy, timely adjust and optimize the control measures, and ensure the effective implementation of the strategy.

[0069] The implementation and monitoring phase specifically includes the following steps: S61, implementation of control strategy, executing the formulated control strategy in the actual system to ensure the implementation of measures, combined with the strategy of the previous step, strategy execution, the control strategy formulated in the previous step is actually applied to the urban water system to ensure that various measures are effectively implemented. Implementation of measures, ensuring the specific implementation of control measures, such as the implementation of water-saving measures, the application of energy-saving equipment, the promotion of carbon reduction technology, etc., to ensure that various measures are carried out as planned. Establish an implementation plan and timetable for control measures, clarify various tasks and responsibilities, and ensure that they are carried out as planned. Execution plan, formulate a detailed implementation plan and timetable, and clarify the specific implementation steps and time nodes of various control measures. Task and responsibility allocation, clarify various tasks and responsibilities, ensure that each department and personnel understand their responsibilities, and ensure that control measures are carried out as planned.

[0070] S62, real-time monitoring system, establish a real-time monitoring system, dynamically track changes in water resources, energy use and carbon emissions, monitoring system construction, establish a complete real-time monitoring system, use advanced monitoring technology and equipment to dynamically track changes in water resources, energy use and carbon emissions in urban water systems. Data collection, through sensors and data collection equipment, real-time acquisition of key data, such as water resource usage, energy consumption, carbon emissions, etc., to ensure the timeliness and accuracy of the data. Through sensors and data collection equipment, real-time acquisition of key data to ensure the timeliness and accuracy of the data, provide a basis for the evaluation and improvement in step S7, data processing, process and analyze the data acquired in real time, ensure the accuracy and reliability of the data, and provide basic data support for subsequent evaluation and improvement. Data storage, establish a data storage and management system to ensure the safe storage and convenient access of real-time data, and provide support for the dynamic monitoring of the system.

[0071] S63, adjustment and optimization, timely adjustment and optimization of control measures according to monitoring data, data analysis, data analysis based on the data obtained by the real-time monitoring system, to find problems and deficiencies in the system. Measures adjustment, timely adjustment and optimization of control measures according to the results of data analysis, such as adjusting water consumption, optimizing energy use structure, improving carbon reduction technology, etc., to ensure efficient operation of the system. Form a feedback loop, continuously improve the control strategy, improve the adaptability and responsiveness of the system, and ensure the effectiveness of the evaluation and improvement in step S7. Feedback mechanism, establish a feedback mechanism, feed back the monitoring data and adjustment results to the decision-making department, and ensure the continuous improvement of the control strategy. Adaptability improvement, by continuously improving the control strategy, improve the adaptability and responsiveness of the system, ensure that the system can cope with changes in different scenarios, and ensure the effectiveness of evaluation and improvement.

[0072] The evaluation and improvement stage specifically includes the following steps: S71, effect evaluation, regularly evaluate the effect of the control measures to verify whether the expected water-saving, energy-saving and carbon-reduction goals are achieved; regular evaluation, regularly conduct effect evaluation to verify whether the various control measures have achieved the expected water-saving, energy-saving and carbon-reduction goals. Effect verification, by comparing the expected goals and actual results, verify the effect of the control measures, find problems and deficiencies, and ensure the effectiveness of the control measures. A combination of quantitative and qualitative methods is used to comprehensively evaluate the effect of the control measures, and provide feedback for the demand analysis and goal setting in the next round of step S1. Quantitative evaluation, using quantitative evaluation methods such as statistical analysis, data comparison, etc., to comprehensively evaluate the effect of the control measures. Qualitative evaluation, using qualitative evaluation methods such as expert review, questionnaire survey, etc., to supplement the deficiencies of quantitative evaluation and comprehensively evaluate the effect of the control measures. Feedback provision, feedback the evaluation results to the decision-making department, provide a scientific basis for the next round of demand analysis and goal setting, and ensure the continuous optimization of the control strategy.

[0073] S72. Model optimization: adjust and optimize the simulation model according to the evaluation results to improve its accuracy and applicability. Model adjustment: adjust and optimize the parameters and structure of the simulation model according to the effect evaluation results to improve the accuracy and applicability of the model. Parameter optimization: optimize the parameter settings of the simulation model to ensure that the model can more accurately reflect the actual situation and provide support for subsequent simulation analysis. Continuously update the model parameters and structure to ensure that the model can reflect the latest actual situation and provide support for subsequent simulation analysis. Model update: continuously update the parameters and structure of the simulation model according to the latest data and information to ensure that the model can reflect the actual situation in a timely manner. Support simulation analysis: provide a scientific basis for subsequent simulation analysis by optimizing and updating the model to ensure the accuracy and reliability of the simulation results.

[0074] S73. Improvement of control strategies. Based on the latest data and evaluation results, optimize the control strategies to ensure the dynamic optimization of the system. Strategy optimization. Based on the latest data and evaluation results, optimize the control strategies to ensure the dynamic optimization of the system. Improvement measures. Propose specific improvement measures, such as optimizing water-saving strategies, promoting advanced energy-saving technologies, and strengthening carbon emission reduction management, to ensure the effectiveness and sustainability of the control strategies. Form a feedback mechanism to ensure the continuous improvement and optimization of the system. Feedback mechanism. Establish a sound feedback mechanism to feed back the evaluation results and improvement measures to relevant departments to ensure the continuous improvement and optimization of the system. Continuous improvement. Through continuous evaluation and improvement, improve the overall performance and adaptability of the system to ensure the sustainable development and efficient operation of the urban water system.

[0075] Example 1

[0076] Background: Hongyunli, Jianshan Street, Hexi District is a densely populated residential area, with the boundaries of the area starting from Taihu Road in the east, Lishui Road in the south, Jiefang South Road in the west, and Dagu South Road in the north. In order to optimize the water resources management in this area, this paper proposes a regional meter water management method based on intelligent analysis. This method aims to improve the utilization efficiency of water resources, reduce waste, and ensure water supply safety by collecting and analyzing the water use data of each household.

[0077] The purpose of this embodiment is to provide an intelligent regional meter water volume management method, which realizes accurate water supply, water leakage detection and abnormal water consumption alarm through real-time monitoring and analysis of water consumption data of each household in the region, thereby improving the management efficiency and service level of the water supply system.

[0078] Real-time data collection and analysis: Using advanced sensor technology and wireless communication technology, we can collect water consumption data of each household in real time, and conduct big data analysis through cloud computing platform. Intelligent water leakage detection: By analyzing water consumption data, we can find and locate water leakage points in time to reduce water waste. Abnormal water consumption alarm: Set water consumption threshold. When a household's water consumption exceeds the set range, the system will automatically alarm and notify users and management departments through SMS or APP.

[0079] Application scenarios: Residential water management: Real-time monitoring and management of residential users’ water consumption to promptly detect abnormal situations. Non-residential user management: Including water consumption monitoring of industrial transportation, government administration, construction finance, hotel entertainment, commerce and special industries to improve management efficiency. Leakage detection and maintenance: Through intelligent systems, timely detection and repair of leaks can be carried out to reduce water waste.

[0080] Taking Hongyunli, Jianshan Street, Hexi District as an example, the meter water volume data from 2014 to 2023 is analyzed to demonstrate the application effect of the intelligent water management system in detail.

[0081] Table 1: Water volume data of Hongyunli, Jianshan Street, Hexi District from 2014 to 2023

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[0084] Table 2: Comparison of application effects of intelligent water management system

[0085] index Before implementation (2014-2018) After implementation (2019-2023) Water leakage detection times 2 8 <![CDATA[Average water consumption (m 3 )]]> 20.5 18.7 Abnormal water consumption alarm times 0 15 Water resource utilization efficiency (%) 78 89

[0086] A detailed comparative experiment was conducted to compare water use data and management efficiency before and after the implementation of the intelligent water management system. The results are as follows:

[0087] Leakage detection: Before implementation (2014-2018): Leakage detection was performed twice, mainly through manual inspection. After implementation (2019-2023): Leakage detection increased to 8 times, and leaks were found and repaired in time through intelligent systems, reducing water waste.

[0088] Water consumption management: Before implementation (2014-2018): average water consumption was 20.5m 3 After implementation (2019-2023): average water consumption will drop to 18.7m 3 Thanks to the precise control and real-time monitoring of the intelligent management system, water use efficiency has been significantly improved.

[0089] Abnormal water consumption alarm: Before implementation (2014-2018): No abnormal water consumption alarm, and the management method is relatively passive. After implementation (2019-2023): The system triggered 15 abnormal water consumption alarms, and timely notified users and management departments through data analysis, avoiding potential water waste and losses. Water resource utilization efficiency: Before implementation (2014-2018): The water resource utilization efficiency was 78%. After implementation (2019-2023): The water resource utilization efficiency increased to 89%, significantly improving the utilization rate of water resources.

[0090] Through the intelligent regional water meter management system, accurate water supply and efficient management of Hongyunli area in Jianshan Street, Hexi District has been achieved. The system not only improves the efficiency of water resource utilization, but also significantly reduces water leakage and water waste, and has broad application prospects and promotion value.

[0091] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for dynamic simulation and coordinated control of urban water systems, characterized in that: The following steps are involved: S1. Requirements analysis and goal setting; S2. Data collection and analysis; S3. Modeling and simulation; S4, simulation analysis and verification; S5, collaborative control strategy formulation; S6, implementation and monitoring; S7. Evaluation and improvement.

2. The method for dynamic simulation and coordinated control of urban water systems according to claim 1, characterized in that: The needs analysis and goal setting specifically include: S11. Identify key issues: Through investigation and research, identify key issues in urban water systems, such as low water resource utilization efficiency, high energy consumption and large carbon emissions; assess the impact of the above issues on the urban ecological environment and socio-economic development, and provide direction for subsequent data collection; S12. Set water conservation targets: Determine targets for reducing water consumption in domestic, industrial and agricultural sectors; improve sewage treatment and rainwater reuse rates to ensure efficient use of water resources, and pay attention to the above data in data collection; S13. Set energy-saving goals: optimize the energy use structure and reduce the use of high-energy-consuming equipment; improve energy efficiency, promote energy-saving technologies and equipment, and guide the collection of energy data based on the goals; S14. Determine carbon emission reduction targets: formulate specific measures to reduce greenhouse gas emissions and promote the application of low-carbon technologies and clean energy; set phased carbon emission reduction targets and establish a corresponding assessment mechanism as the basis for carbon emission data collection and analysis, and provide direction and requirements for data collection and analysis in step S2.

3. The method for dynamic simulation and coordinated control of urban water systems according to claim 1, characterized in that: The data collection and analysis specifically include: S21. Water resource data collection: Collect the supply and use of urban surface water and groundwater to ensure that the set water conservation targets are met; monitor the data of rainwater reuse and sewage treatment to achieve the set efficient utilization targets; S22. Energy consumption data collection: Obtain energy usage data, including electricity, natural gas, and coal, to ensure compliance with energy conservation goals; record the purpose and consumption of energy use to optimize the energy structure; S23. Carbon emission data collection: Collect carbon emission data from all links, including direct and indirect emissions, to ensure compliance with carbon reduction targets; monitor greenhouse gas emission sources, record their emissions and changing trends, and provide data for the model; S24, data processing and analysis: Clean and organize the collected data to ensure the integrity and accuracy of the data, and provide reliable data for the modeling and simulation in step S3; use statistical analysis methods to identify data patterns and key influencing factors, analyze the relationship between water resources, energy and carbon emissions, and provide a basis for subsequent modeling.

4. The method for dynamic simulation and coordinated control of urban water systems according to claim 1, characterized in that: The modeling and simulation specifically include: S31, multi-agent modeling (ABM): simulate the behavior and decision-making process of different decision-making subjects in water resource utilization, energy consumption and carbon emissions, using the data analysis results of the previous step; establish an interaction model between the subjects, analyze the impact of their behavior on the overall system, and combine the actual data in step S2 data collection and analysis; S32, System Dynamics Modeling (SD): Construct a dynamic interaction model between water resources, energy and carbon emissions based on the data processing results of the previous step; analyze the impact of different factors on the dynamic changes of the system and predict the future behavior and trend of the system; S33, model integration and simulation platform: Integrate ABM and SD models to form a comprehensive urban water system dynamic simulation platform; run different scenarios on the simulation platform to analyze the impact of policy, technology and environmental changes on the system, provide a basis for the simulation analysis and verification in step S4, and use the simulation model directly for subsequent simulation analysis and verification.

5. The method for dynamic simulation and coordinated control of urban water systems according to claim 1, characterized in that: The simulation analysis and verification specifically include: S41, Scenario setting: Develop different simulation scenarios, including policy changes, environmental disturbances, and economic development, based on the models and data from the previous step; set specific parameters and change conditions for each scenario to ensure the diversity and representativeness of the scenarios; S42, simulation operation: run the simulation model, observe the dynamic response of the system under different scenarios, record the changes of various indicators, and verify the accuracy and reliability of the model; S43, model verification: compare the simulation results with the actual observation data to verify the accuracy and reliability of the model; adjust the model parameters and structure according to the verification results to ensure the accuracy and applicability of the model; the verified model is used for the formulation of the coordinated control strategy in step S5 to ensure the scientificity and feasibility of the strategy.

6. The method for dynamic simulation and coordinated control of urban water systems according to claim 1, characterized in that: The collaborative control strategy formulation specifically includes: S51, synergy mechanism analysis: in-depth analysis of the synergy relationship between water resources, energy and carbon emissions, identification of optimized synergy mechanisms, based on the results of simulation analysis and verification in step S4; evaluation of the effectiveness and feasibility of different synergy control strategies to ensure the implementation effect of the strategies; S52. Water-saving strategy formulation: Improve the reuse rate of rainwater and sewage, reduce water waste, and combine the analysis results of the previous step; optimize the water use structure and improve the efficiency of each water use link to achieve the set water-saving goals; S53. Energy-saving measures formulation: Promote high-efficiency energy-saving technologies and equipment, reduce energy waste, and use the analysis results of the previous step; optimize the energy use structure, increase the proportion of renewable energy use, and achieve energy-saving goals; S54. Carbon reduction strategy formulation: reduce the use of high-carbon emission energy, promote low-carbon technology and clean energy; reduce carbon emissions in all links through technological innovation and management optimization to achieve carbon reduction goals; S55. Comprehensive control strategy: Comprehensively consider the synergistic effects of water, energy and carbon, formulate a comprehensive control strategy to achieve efficient resource management and minimize carbon emissions; the formulated strategy will provide guidance for the implementation and monitoring in step S6 to ensure the effective implementation of the strategy.

7. The method for dynamic simulation and coordinated control of urban water systems according to claim 1, characterized in that: The implementation and monitoring specifically include: S61, Control strategy implementation: Implement the formulated control strategy in the actual system to ensure the implementation of measures, combined with the previous step strategy; establish an implementation plan and timetable for control measures, clarify various tasks and responsibilities, and ensure that they proceed as planned; S62, real-time monitoring system: establish a real-time monitoring system to dynamically track changes in water resources, energy use and carbon emissions; obtain key data in real time through sensors and data acquisition equipment to ensure the timeliness and accuracy of the data, providing a basis for the evaluation and improvement in step S7; S63, Adjustment and Optimization: Adjust and optimize control measures in a timely manner based on monitoring data; form a feedback loop, continuously improve control strategies, enhance the adaptability and responsiveness of the system, and ensure the effectiveness of the evaluation and improvement in step S7.

8. The method for dynamic simulation and coordinated control of urban water systems according to claim 1, characterized in that: The evaluation and improvement specifically include: S71. Effect evaluation: Regularly evaluate the effects of control measures to verify whether the expected water conservation, energy conservation and carbon reduction targets are achieved; use a combination of quantitative and qualitative methods to comprehensively evaluate the effects of control measures and provide feedback for the next round of demand analysis and target setting in step S1; S72, Model optimization: According to the evaluation results, adjust and optimize the simulation model to improve its accuracy and applicability; continuously update the model parameters and structure to ensure that the model can reflect the latest actual situation and provide support for subsequent simulation analysis; S73. Control strategy improvement: Based on the latest data and evaluation results, optimize the control strategy to ensure dynamic optimization of the system.

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