Intelligent scheduling operation method for building water supply

Abstract

The invention relates to the technical field of water supply scheduling, in particular to an intelligent scheduling operation method for building water supply, which comprises the following steps of: collecting water flow, water pressure, energy price and water pump operation state, calculating water supply demand and energy cost at each time point, and obtaining real-time water supply demand data; and performing time sequence analysis on the real-time water supply demand data, and extracting trend and periodic characteristics of the water supply demand. According to the method, the water flow, the water pressure, the energy price and the running state of the water pump are collected, the water supply demand and the energy cost at each time point are obtained through calculation, water supply demand prediction is optimized, meanwhile, the periodicity and trend of water supply are determined through time sequence analysis, and it is ensured that decision is based on a solid scientific basis. Besides, the operation parameters of each water pump are optimized, the energy consumption, the water supply capacity, the operation cost and the equipment abrasion degree are comprehensively evaluated, and the energy efficiency is improved and the service life of equipment is prolonged by adjusting the operation parameters.

Description

Technical Field

[0001] The present invention relates to the technical field of water supply scheduling, and in particular to an intelligent scheduling operation method for building water supply. Background Art

[0002] The field of water supply scheduling technology involves the development and application of a series of systems and technologies to optimize the allocation and use efficiency of water resources. The key to this field is how to effectively manage and regulate multiple factors in the water supply system, such as pump operation, reservoir water level, pipe network pressure and water quality safety.

[0003] However, the existing technology lacks comprehensive analysis of real-time data, which makes it difficult to respond to changes in demand in a timely manner, leading to uneven resource allocation and energy waste. For example, the lack of monitoring of the operating status of water pumps makes it difficult to predict and adjust, which can easily lead to over-operation or inefficient operation, which not only consumes unnecessary energy, but may also shorten the service life of equipment and increase maintenance costs. This reduces the overall performance and sustainable operation capacity of the water supply system and limits the modernization of water resources management. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent scheduling and operation method for building water supply.

[0005] In order to achieve the above object, the present invention adopts the following technical solution, a method for intelligent scheduling and operation of building water supply, comprising the following steps: Collect water flow, water pressure, energy price and water pump operation status, calculate water supply demand and energy cost at each time point, obtain real-time water supply demand data, perform time series analysis on the real-time water supply demand data, extract the trend and periodic characteristics of water supply demand, and obtain water supply demand forecast value; Based on the water supply demand forecast value, the energy consumption, water supply capacity, operating cost and equipment wear degree of each water pump at different operating speeds and start-stop times are calculated, and a set of water pump operating parameters is generated. The water pump operating parameter set is combined and calculated for each combination. The total energy consumption, total water supply, total operating cost and equipment life impact are calculated, a multi-objective optimization problem is established, the operating parameter combination is solved, and the water pump operation plan is obtained.

[0006] Preferably, based on the water pump operation scheme, each water pump is regarded as a player in the game, the operation speed and start and stop time are set, the profit of each player under the operation speed and start and stop time is calculated, a water pump profit matrix is ​​generated, the water pump profit matrix is ​​iteratively calculated, each interaction effect is analyzed, the strategy combination is found, the Nash equilibrium point is calculated, and the Nash equilibrium operation strategy is obtained; Based on the Nash equilibrium operation strategy, the operation parameters of each water pump, including the operation speed and start and stop time, are adjusted, the water supply efficiency, energy consumption and water pump status are monitored in real time, the performance is compared with the Nash equilibrium operation strategy, and the operation parameters are adjusted according to the deviation.

[0007] Preferably, the steps for obtaining the water supply demand forecast value are: Collect water flow, water pressure, energy price and pump operation status, calculate water demand and energy cost at each time point, and obtain a real-time water demand data set; Based on the real-time water supply demand data set, calculate the comprehensive water supply demand score at each time point , the calculation formula is: in, is the water flow at the i-th time point, is the water pressure at the i-th time point, is the energy price at time i, is the weight coefficient, is the total number of time points; Based on the comprehensive water supply demand score, time series analysis is performed to extract the trend and periodic characteristics of the water supply demand to obtain a water supply demand forecast value.

[0008] Preferably, the steps of obtaining the water pump operation parameter set are: Based on the water supply demand forecast value, analyze the performance of each water pump at different operating speeds and start and stop times to obtain preliminary performance evaluation results; Based on the preliminary performance evaluation results, the operating cost and equipment wear of each pump are calculated using the following formula: and in, Representative The operating cost of a water pump, Representative The degree of wear of the pump equipment For water pump The running speed, is the running time, is the start-stop frequency, and are the adjustment factors for cost and wear, respectively; Based on the calculation results of operating costs and equipment wear, a set of water pump operating parameters is compiled and summarized.

[0009] Preferably, the steps for obtaining the water pump operation plan are: Integrate the operating speed, start and stop time, operating cost and wear data of each pump to calculate the total energy consumption, total water supply, total operating cost and equipment life impact to form a comprehensive data set of operating parameters; Based on the comprehensive data set of operating parameters, a multi-objective optimization problem function is established. , the definition formula is: in, is the total energy consumption, is the total water supply, is the total operating cost, Influence of equipment life. is the weight; Apply nonlinear programming or multi-objective genetic algorithm to solve the multi-objective optimization problem function, find the combination of water pump operation parameters, and generate the water pump operation plan.

[0010] Preferably, the steps of obtaining the water pump profit matrix are: Based on the water pump operation plan, the operation speed and start and stop time of each water pump are determined, and each water pump is regarded as an independent player in the game to obtain the player strategy configuration; According to the player strategy configuration, the profit of each pump player is calculated as follows: in, Indicates The revenue of a water pump, is the speed benefit coefficient, is the running speed, is the start-stop cost coefficient, is the start and stop time; According to the benefits, a water pump benefit matrix is ​​constructed to describe the benefit distribution of the water pump under different operating configurations, and the water pump benefit matrix is ​​obtained.

[0011] Preferably, the steps for obtaining the Nash equilibrium operation strategy are: Perform iterative calculations on the pump benefit matrix and obtain the strategy change results for each iteration by analyzing the interaction between each pump. Based on the results of the strategy changes, analyze the strategy combinations, identify the potential benefits and conflicts under each combination, and find a coordinated state; Calculate the Nash equilibrium point of each combination and obtain the Nash equilibrium operation strategy.

[0012] Preferably, based on the Nash equilibrium operation strategy, the operation parameters of each water pump, including the operation speed and start and stop time, are adjusted, the water supply efficiency, energy consumption and water pump status are monitored in real time, the performance is compared with the Nash equilibrium operation strategy, and the steps of adjusting the operation parameters according to the deviation are as follows: Based on the Nash equilibrium operation strategy, the operation speed and start / stop time of each water pump are adjusted to obtain an adjusted operation parameter configuration; Based on the adjusted operating parameter configuration, the water supply efficiency, energy consumption and status of each water pump are monitored in real time to obtain real-time monitoring data; Based on the real-time monitoring data, the current water pump performance is compared with the setting of the Nash equilibrium operation strategy to verify whether it is effective.

[0013] Compared with the prior art, the advantages and positive effects of the present invention are: The present invention collects water flow, water pressure, energy price and water pump operating status, and calculates the water supply demand and energy cost at each time point, thereby optimizing the water supply demand forecast. At the same time, time series analysis is used to clarify the periodicity and trend of water supply, ensuring that the decision is based on a solid scientific basis. In addition, the operating parameters of each water pump are optimized, and the energy consumption, water supply capacity, operating cost and equipment wear are comprehensively evaluated. By adjusting the operating parameters, energy efficiency and equipment life are improved. Through multi-objective optimization, a balance between cost and efficiency is achieved, and the economy and environmental sustainability of the water supply system are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the steps of the present invention. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0016] See also Figure 1 The present invention provides a technical solution, a method for intelligent scheduling and operation of building water supply, comprising the following steps: Collect water flow, water pressure, energy price and water pump operation status, calculate water demand and energy cost at each time point, obtain real-time water demand data, perform time series analysis on real-time water demand data, extract the trend and periodic characteristics of water demand, and obtain water demand forecast value; Based on the predicted water supply demand, the energy consumption, water supply capacity, operating cost and equipment wear degree of each water pump at different operating speeds and start-stop times are calculated, and a set of water pump operating parameters is generated. The water pump operating parameter set is combined and calculated to calculate the total energy consumption, total water supply, total operating cost and equipment life impact under each combination. A multi-objective optimization problem is established to solve the operating parameter combination and obtain the water pump operation plan. Based on the water pump operation plan, each water pump is regarded as a player in the game, the operation speed and start and stop time are set, the benefits of each player under the operation speed and start and stop time are calculated, the water pump benefit matrix is ​​generated, the water pump benefit matrix is ​​iteratively calculated, each interaction effect is analyzed, the strategy combination is found, the Nash equilibrium point is calculated, and the Nash equilibrium operation strategy is obtained; Based on the Nash equilibrium operation strategy, the operating parameters of each water pump, including the operating speed and start and stop time, are adjusted. The water supply efficiency, energy consumption and water pump status are monitored in real time. The performance is compared with the Nash equilibrium operation strategy, and the operating parameters are adjusted according to the deviation.

[0017] The steps to obtain the water supply demand forecast value are as follows: Collect water flow, water pressure, energy price and pump operation status, calculate water demand and energy cost at each time point, and obtain a real-time water demand data set; Based on the real-time water supply demand dataset, calculate the comprehensive water supply demand score at each time point , the calculation formula is: in, is the water flow at the i-th time point, is the water pressure at the i-th time point, is the energy price at time i, is the weight coefficient, is the total number of time points; Time series analysis is performed based on the comprehensive water supply demand score to extract the trend and periodic characteristics of water supply demand and obtain the water supply demand forecast value.

[0018] Specifically, water flow, water pressure, energy prices and water pump operating status are collected, and these data are monitored in real time, and the water flow and water pressure data as well as energy cost information at each time point are summarized to generate a data summary report. In this process, the water flow and water pressure data come from the continuous monitoring system, and the energy price is obtained through real-time market data. By integrating these data, the operating efficiency and cost consumption of the water supply system can be tracked in real time to ensure the accuracy and timeliness of the data. These data reflect the operating status and energy utilization efficiency of the water supply system, and provide a basis for the next step of data analysis.

[0019] The benefit of the formula is that it takes into account the impact of water flow, water pressure and energy prices on the water supply demand score through a weighted average approach, making the assessment more comprehensive and accurate; The parameters are obtained by statistical analysis based on past data. For example, the weights may be adjusted according to the impact of each parameter on water demand in the past to reflect the importance of different parameters. For the total number of time points considered, a representative monitoring period is usually chosen, such as the number of time points in a day; Calculation process: water flow collected at a certain moment Liter / minute, water pressure Ba, energy prices Yuan / kWh, and the weight coefficients are , total number of time points (number of hours in a day), substituting it into the formula for calculation, the result is 353.56. The result shows that the comprehensive water supply demand score at each time point is approximately 353.56, which reflects the comprehensive consideration of the water supply demand level and energy cost at that time point. A higher score means a greater water supply demand or a higher energy cost.

[0020] Time series analysis is performed based on the comprehensive water supply demand score. The known score data is used to analyze the statistical characteristics of the time series. By identifying patterns in the data, such as trends or periodicity, statistical methods are used to predict future data. In this process, not only the numerical value of the score is considered, but also its stability and changing trend over time need to be evaluated. On this basis, time series analysis methods, such as autoregressive models, are used to learn and predict future water supply demand from historical data to obtain a water supply demand forecast value, which is a quantitative representation of future water supply demand and reflects the expected water supply and possible cost changes.

[0021] The steps for obtaining the pump operation parameter set are: Based on the predicted water demand, the performance of each pump at different operating speeds and start / stop times was analyzed to obtain preliminary performance evaluation results. Based on the preliminary performance evaluation results, the operating cost and equipment wear of each pump are calculated using the following formula: and in, Representative The operating cost of a water pump, Representative The degree of wear of the pump equipment For water pump The running speed, is the running time, is the start-stop frequency, and are the adjustment factors for cost and wear, respectively; Based on the calculation results of operating costs and equipment wear, a set of water pump operating parameters is compiled and summarized.

[0022] Specifically, based on the predicted value of water supply demand, the performance of each water pump at different operating speeds and start-stop times is evaluated. This process requires detailed consideration of the water flow and pressure characteristics of each water pump under specific operating conditions. These characteristics directly affect the efficiency and output performance of the water pump. Through the analysis of historical data and combined with real-time monitoring data, the performance level that each water pump may achieve at the set operating speed and start-stop time is evaluated, and then the possible output flow and pressure loss of each water pump under different conditions are calculated to obtain preliminary performance evaluation results.

[0023] The benefit of the formula is that, in this way, the effects of the operating speed and start-stop frequency of the pump on cost and wear can be considered simultaneously, allowing for more accurate predictions of maintenance costs and replacement cycles, thereby optimizing operating strategies and cost management; and The parameters are obtained through historical maintenance records and component replacement frequency statistics. , and Parameters are obtained by collecting data; Calculation process: running speed of pump i RPM, running time Hours, start-stop frequency times / hour, and , by substituting it into the formula, a quantitative assessment of the operating cost and equipment wear can be provided, which helps the maintenance team to formulate preventive maintenance plans and cost budgets.

[0024] Based on the calculation results of operating costs and equipment wear, the operating parameters of each pump are optimized. This optimization process includes selecting the most appropriate operating speed and start and stop time to balance energy consumption and maintenance requirements. The generated operating parameter set provides a comprehensive reference for adjusting the actual operating strategy of the pump and forming the final pump operating parameter plan, which can be directly applied to the pump operation control system to ensure maximum operating efficiency and cost-effectiveness.

[0025] The steps to obtain the pump operation plan are: Integrate the operating speed, start and stop time, operating cost and wear data of each pump to calculate the total energy consumption, total water supply, total operating cost and equipment life impact to form a comprehensive data set of operating parameters; Based on the comprehensive data set of operating parameters, a multi-objective optimization problem function is established , the definition formula is: in, is the total energy consumption, is the total water supply, is the total operating cost, Influence of equipment life. is the weight; Apply nonlinear programming or multi-objective genetic algorithm to solve the multi-objective optimization problem function, find the combination of water pump operation parameters, and generate the water pump operation plan.

[0026] Specifically, the operating parameters of each water pump are integrated, including speed, start and stop time, operating cost and degree of equipment wear. These parameters are obtained from real-time monitoring. Real-time monitoring records data at regular intervals. These data reflect the real-time working status of each water pump. Through data analysis, the total energy consumption, total water supply, total operating cost and equipment life impact can be evaluated to obtain a comprehensive operating parameter data set, which includes detailed operating records and comprehensive evaluation results of all water pumps.

[0027] The usefulness of the formula lies in that it comprehensively considers the four dimensions of energy consumption, cost, water supply and equipment life. By setting different weights for each indicator, the relationship between these indicators can be balanced to find an operation plan; is the total energy consumption calculated by energy metering equipment, is the total operating cost obtained from finance, The total water supply calculated for the flow meter and time recorder, The impact on equipment life is estimated based on maintenance records and equipment replacement cycles.

[0028] Apply nonlinear programming or multi-objective genetic algorithm to solve multi-objective optimization problem functions. First, select a suitable algorithm, such as nonlinear programming for continuous problems, while genetic algorithm is suitable for global search. Then, set the algorithm parameters, such as population size, crossover rate, mutation rate, etc., to ensure that the algorithm can run efficiently. Through the iterative operation of these algorithms, the optimal solution is gradually approached. The final generated water pump operation plan will be selected based on the optimization results. This plan will guide the daily operation and maintenance of the water pump to ensure the best balance between the goals of energy saving and efficient water supply.

[0029] The steps to obtain the water pump profit matrix are: Based on the water pump operation plan, determine the operating speed and start and stop time of each water pump, regard each water pump as an independent player in the game, and obtain the player strategy configuration; According to the player strategy configuration, the profit of each pump player is calculated using the following formula: in, Indicates The revenue of a water pump, is the speed benefit coefficient, is the running speed, is the start-stop cost coefficient, is the start and stop time; According to the benefits, a water pump benefit matrix is ​​constructed to describe the benefit distribution of the water pump under different operating configurations, and the water pump benefit matrix is ​​obtained.

[0030] Specifically, based on the pump operation plan, the operating speed and start and stop time of each pump are determined to form a set of strategy configurations. This configuration regards each pump as an independent game player whose strategy is defined by its respective operating parameters. The operating speed and start and stop time are used to calculate the possible optimal operating strategy. The selection of operating speed and start and stop time reflects the operating efficiency and expected maintenance requirements of each pump. These parameters are usually determined by the physical capacity and design operating parameters of the pump and need to be adjusted according to actual operating conditions and expected output to ensure that the pump provides the necessary water supply while keeping energy consumption and operating costs within an acceptable range. This process involves a detailed performance evaluation of each pump and the calculation of expected operating costs to form a comprehensive operating strategy.

[0031] The benefit of the formula is that by adjusting the running speed and start and stop time The weight of the pump can flexibly control the balance between the operating cost and efficiency of the pump, thereby optimizing the overall operating efficiency of the pump; The steps to obtain the parameters are to determine the contribution of each unit increase in operating speed to revenue through regression analysis of historical operating data. The parameters are obtained by monitoring the effects of different start-stop frequencies on maintenance costs and equipment wear; Based on the profit calculation results of each water pump, a water pump profit matrix is ​​constructed. The matrix describes in detail the profit distribution of each water pump under different operating configurations. Through the profit matrix, the profit situation under different strategy configurations can be obtained, so as to conduct cost-benefit analysis and optimize the operation strategy of the water pump. The construction of the profit matrix depends on the profits of each water pump calculated above. These profits are arranged according to the water pump number and configuration parameters. Each row represents the expected profit of a water pump under different configurations, and each column corresponds to a specific operating setting.

[0032] The steps to obtain the Nash equilibrium operation strategy are: Perform iterative calculations on the pump benefit matrix and obtain the strategy change results for each iteration by analyzing the interaction between each pump. Based on the results of strategy changes, analyze strategy combinations, identify potential benefits and conflicts under each combination, and find a coordinated state; Calculate the Nash equilibrium point of each combination and obtain the Nash equilibrium operation strategy.

[0033] Specifically, an iterative calculation of the water pump benefit matrix is ​​performed. Iterative calculation is a repetitive process in which each step adjusts the input of the next step based on the output of the previous step. This is particularly important in multiple water pumps because the output of each water pump may affect the performance of other water pumps. In this way, we can carefully analyze how the performance of each water pump under a specific configuration affects the performance of the entire system. Iterative calculation not only helps to understand the dynamic relationship between water pumps, but also reveals potential optimal configurations. This process is carried out through computer simulation, and each iteration updates the operating parameters of the water pump, such as adjusting the flow or pressure setting to achieve better system operating efficiency. Through continuous testing and adjustment, we can approach the optimal solution.

[0034] Based on the results of the strategy change, the performance of each pump under different operating conditions and the impact on each other are considered. By evaluating different strategy combinations, we identify which combinations can reduce energy consumption and operating costs while maintaining efficient water supply, and find a coordinated state in which all pumps can operate in their respective good conditions.

[0035] Calculate the Nash equilibrium point of each combination and get the Nash equilibrium operation strategy. Nash equilibrium is a theoretical concept used in game theory to describe a state in which no party can unilaterally change its strategy to gain greater benefits in a game involving multiple parties. This concept is applied in the optimization of the water pump system to ensure that each water pump cannot gain greater benefits by changing its strategy given the strategies of other water pumps.

[0036] Based on the Nash equilibrium operation strategy, adjust the operating parameters of each pump, including the operating speed and start and stop time, monitor the water supply efficiency, energy consumption and pump status in real time, compare the performance with the Nash equilibrium operation strategy, and adjust the operating parameters according to the deviation as follows: Based on the Nash equilibrium operation strategy, the operation speed and start and stop time of each water pump are adjusted to obtain the adjusted operation parameter configuration; Based on the adjusted operating parameter configuration, the water supply efficiency, energy consumption and status of each water pump are monitored in real time to obtain real-time monitoring data; Based on real-time monitoring data, the current pump performance is compared with the setting of the Nash equilibrium operation strategy to verify its effectiveness.

[0037] Specifically, the running speed and start and stop time of the water pump are adjusted according to the Nash equilibrium strategy. Each adjustment is based on the evaluation of the current working status and expected operating conditions of the water pump. The evaluation includes checking whether the flow and pressure indicators meet the water pump efficiency and energy saving goals. During the adjustment process, the operator or the automatic control system records the performance indicators of each water pump, such as the reading of the flow meter and the value of the pressure gauge, to ensure that each parameter is within the threshold range of safe operation. These thresholds are pre-set based on historical data and the manufacturer's performance standards. For example, the flow threshold is set to not less than 1000 liters but not more than 5000 liters per hour, and the pressure threshold is maintained between 5 and 10 bars; After the adjusted operating parameter configuration is implemented, continue to monitor the water supply efficiency and energy consumption of each pump. The monitoring work involves collecting real-time data on flow and power usage. Each pump is equipped with a flow meter and an energy meter. These devices send data at regular intervals, and then analyze this data regularly, such as every 15 minutes, to ensure that the operating data of all pumps are within the preset performance indicators, such as power consumption must not exceed 2 kWh per hour and water supply efficiency must reach at least 100 liters per minute. Any readings that exceed these standards will be marked as abnormal and require further technical evaluation and adjustment, so as to ensure the continuous operation and performance maintenance of the pump system and obtain real-time monitoring data; The collected monitoring data is used to compare performance against the standards of the Nash equilibrium operating strategy. The specific comparison process includes analyzing the difference between the actual operating efficiency of each pump and the target efficiency to determine whether there is a deviation and its value. For example, by comparing the percentage difference between the actual flow rate and the target flow rate, if the actual flow rate of a pump is found to be more than 10% lower than the target flow rate, this situation will be identified as performance degradation and require immediate adjustment or maintenance. For example, if the deviation threshold is set to ±5%, any performance outside this range will trigger an operation notification to perform necessary maintenance or parameter readjustment to verify whether it is effective.

[0038] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for intelligent scheduling and operation of building water supply, characterized in that: The following steps are involved: Collect water flow, water pressure, energy price and water pump operation status, calculate water supply demand and energy cost at each time point, obtain real-time water supply demand data, perform time series analysis on the real-time water supply demand data, extract the trend and periodic characteristics of water supply demand, and obtain water supply demand forecast value; Based on the water supply demand forecast value, the energy consumption, water supply capacity, operating cost and equipment wear degree of each water pump at different operating speeds and start-stop times are calculated, and a set of water pump operating parameters is generated. The water pump operating parameter set is combined and calculated for each combination. The total energy consumption, total water supply, total operating cost and equipment life impact are calculated, a multi-objective optimization problem is established, the operating parameter combination is solved, and the water pump operation plan is obtained.

2. The intelligent scheduling and operation method for building water supply according to claim 1 is characterized in that: Based on the water pump operation scheme, each water pump is regarded as a player in the game, the operation speed and start and stop time are set, the profit of each player under the operation speed and start and stop time is calculated, and a water pump profit matrix is ​​generated. The water pump profit matrix is ​​iteratively calculated, each interactive impact is analyzed, the strategy combination is found, the Nash equilibrium point is calculated, and the Nash equilibrium operation strategy is obtained; Based on the Nash equilibrium operation strategy, the operation parameters of each water pump, including the operation speed and start and stop time, are adjusted, the water supply efficiency, energy consumption and water pump status are monitored in real time, the performance is compared with the Nash equilibrium operation strategy, and the operation parameters are adjusted according to the deviation.

3. The intelligent scheduling and operation method for building water supply according to claim 1 is characterized in that: The steps for obtaining the water supply demand forecast value are as follows: Collect water flow, water pressure, energy price and pump operation status, calculate water demand and energy cost at each time point, and obtain a real-time water demand data set; Based on the real-time water supply demand data set, calculate the comprehensive water supply demand score at each time point , the calculation formula is: in, is the water flow at the i-th time point, is the water pressure at the i-th time point, is the energy price at time i, is the weight coefficient, is the total number of time points; Based on the comprehensive water supply demand score, time series analysis is performed to extract the trend and periodic characteristics of the water supply demand to obtain a water supply demand forecast value.

4. The intelligent scheduling and operation method for building water supply according to claim 1 is characterized in that: The steps for obtaining the water pump operation parameter set are: Based on the water supply demand forecast value, analyze the performance of each water pump at different operating speeds and start and stop times to obtain preliminary performance evaluation results; Based on the preliminary performance evaluation results, the operating cost and equipment wear of each pump are calculated using the following formula: and in, Representative The operating cost of a water pump, Representative The degree of wear of the pump equipment For water pump The running speed, is the running time, is the start-stop frequency, and are the adjustment factors for cost and wear, respectively; Based on the calculation results of operating costs and equipment wear, a set of water pump operating parameters is compiled and summarized.

5. The intelligent scheduling and operation method for building water supply according to claim 1 is characterized in that: The steps for obtaining the water pump operation plan are: Integrate the operating speed, start and stop time, operating cost and wear data of each pump to calculate the total energy consumption, total water supply, total operating cost and equipment life impact to form a comprehensive data set of operating parameters; Based on the comprehensive data set of operating parameters, a multi-objective optimization problem function is established. , the definition formula is: in, is the total energy consumption, is the total water supply, is the total operating cost, Influence of equipment life. is the weight; Apply nonlinear programming or multi-objective genetic algorithm to solve the multi-objective optimization problem function, find the combination of water pump operation parameters, and generate the water pump operation plan.

6. The intelligent scheduling and operation method for building water supply according to claim 2 is characterized in that: The steps for obtaining the water pump profit matrix are: Based on the water pump operation plan, the operation speed and start and stop time of each water pump are determined, and each water pump is regarded as an independent player in the game to obtain the player strategy configuration; According to the player strategy configuration, the profit of each pump player is calculated as follows: in, Indicates The revenue of a water pump, is the speed benefit coefficient, is the running speed, is the start-stop cost coefficient, is the start and stop time; According to the benefits, a water pump benefit matrix is ​​constructed to describe the benefit distribution of the water pump under different operating configurations, and the water pump benefit matrix is ​​obtained.

7. The intelligent scheduling and operation method for building water supply according to claim 2 is characterized in that: The steps for obtaining the Nash equilibrium operation strategy are as follows: Perform iterative calculations on the pump benefit matrix and obtain the strategy change results for each iteration by analyzing the interaction between each pump. Based on the results of the strategy changes, analyze the strategy combinations, identify the potential benefits and conflicts under each combination, and find a coordinated state; Calculate the Nash equilibrium point of each combination and obtain the Nash equilibrium operation strategy.

8. The intelligent scheduling and operation method for building water supply according to claim 2 is characterized in that: Based on the Nash equilibrium operation strategy, the operation parameters of each water pump are adjusted, including the operation speed and start and stop time, the water supply efficiency, energy consumption and water pump status are monitored in real time, and the performance is compared with the Nash equilibrium operation strategy. The steps of adjusting the operation parameters according to the deviation are as follows: Based on the Nash equilibrium operation strategy, the operation speed and start / stop time of each water pump are adjusted to obtain an adjusted operation parameter configuration; Based on the adjusted operating parameter configuration, the water supply efficiency, energy consumption and status of each water pump are monitored in real time to obtain real-time monitoring data; Based on the real-time monitoring data, the current water pump performance is compared with the setting of the Nash equilibrium operation strategy to verify whether it is effective.

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