Water supply scheduling method and system based on multi-objective optimization model

Abstract

The invention relates to the technical field of intelligent water supply scheduling optimization, and particularly discloses a water supply scheduling method and system based on a multi-objective optimization model, and the method comprises the steps: calculating a water supply suitability score through the comprehensive analysis of water quality, water supply amount and water supply energy consumption data, and dividing the water supply scheduling into suitable scheduling and non-suitable scheduling according to the score; for proper scheduling, continuing to execute the current water supply scheme and reducing the monitoring frequency; for non-suitable scheduling, determining an adjustment interval by analyzing a water quality deviation index, a water supply amount fluctuation index and a water supply energy consumption index in a plurality of monitoring periods, and adjusting water supply data according to the adjustment interval so as to improve a water supply suitability degree score; the reliability and stability of the water supply system can be improved, energy conservation, emission reduction and resource optimization configuration are achieved, and efficient and stable operation of the water supply system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent water supply scheduling optimization, and in particular to a water supply scheduling method and system based on a multi-objective optimization model. Background Art

[0002] With the acceleration of urbanization and population growth, the rational use and efficient management of water resources has become an urgent problem to be solved. Common problems in traditional water supply systems include unstable water quality, large fluctuations in water supply, and high energy consumption. These problems not only affect the quality of life of residents and the continuity of industrial production, but also cause waste of resources and burden on the environment. The traditional water supply management model mainly relies on manual experience and simple automation equipment, lacks comprehensive analysis and real-time monitoring of multi-dimensional data such as water quality, water quantity and energy consumption, resulting in slow response when responding to emergencies and difficulty in achieving precise regulation.

[0003] The present invention is aimed at the problems existing in the above background. By comprehensively analyzing the water quality deviation index, the water supply fluctuation index and the water supply energy consumption index, the water supply suitability score is calculated, and the water supply scheduling is divided into suitable scheduling and unsuitable scheduling according to the score. For the case of unsuitable scheduling, the present invention obtains different water supply scheduling data within a certain monitoring period, analyzes the difference between suitable scheduling and unsuitable scheduling, determines the adjustment interval, and adjusts the water supply data accordingly, so as to finally realize the optimized operation of the water supply system. This technical solution can not only improve the reliability and stability of the water supply system, but also realize energy conservation, emission reduction and optimal allocation of resources. Summary of the invention

[0004] The purpose of the present invention is to provide a water supply monitoring cycle, by collecting and processing water quality, water supply and water supply energy consumption data, calculate the water supply suitability score, and divide the water supply scheduling into suitable scheduling and unsuitable scheduling according to the comparison between the score and the preset threshold; for suitable scheduling, continue to implement the current water supply plan and reduce the monitoring frequency; for unsuitable scheduling, by analyzing the suitability scores and their various indicators in several monitoring cycles, determine the adjustment intervals of water quality deviation index, water supply fluctuation index and water supply energy consumption index, and adjust the water supply data based on these intervals, in order to improve the water supply suitability score; in a monitoring cycle after adjustment, recalculate the suitability score, if the score meets the standard, stop adjusting; otherwise, continue to narrow the adjustment interval until the expected effect is achieved. This technical solution can timely discover and optimize the deficiencies of the water supply system, improve the quality and efficiency of water supply, reduce energy consumption, and ensure the stability and reliability of the water supply system.

[0005] The purpose of the present invention can be achieved through the following technical solutions: The water supply scheduling method based on the multi-objective optimization model includes the following steps: S1: Acquire water supply data, process the water supply data, and obtain a water supply suitability score; wherein the water supply data includes: water quality, water supply quantity, and water supply energy consumption; S2: Divide the water supply data into suitable dispatch and unsuitable dispatch according to the suitability score; S3: Based on the water supply situation that is suitable for scheduling, water supply is implemented; based on the water supply situation that is not suitable for scheduling, water supply data is adjusted to find the optimal combination solution; S4: Based on the water supply scheduling under the optimal combination solution, continue to monitor the water supply data to determine whether the water supply suitability has improved.

[0006] As a further solution of the present invention: In S1, the water supply data is processed to obtain a water supply suitability score. The process of obtaining the suitability score is as follows: the water quality deviation index F and the water supply fluctuation index and water supply energy consumption index After comprehensive analysis, the water supply suitability score is obtained. The specific calculation expression is: ; In the formula, Q is the suitability score Q, , and is the preset scale factor, and > > >0.

[0007] As a further solution of the present invention: the process of obtaining the water quality deviation index F is: within a water supply monitoring cycle, obtaining water quality data of the current cycle, including water turbidity, water pH, amount of dissolved oxygen in water, water conductivity, degree of oxidation of organic matter in water, and content of organic matter in water; The data feature vectors between different independent sources and the feature vectors of the corresponding historical normal water quality data are regarded as a set of data for comparison; For the eigenvector information in each set of data, the deviation index of the eigenvector is calculated, and the calculation formula is: ; Where F is the deviation index between the characteristic vector of the current period water quality data and the corresponding characteristic vector of the historical normal water quality data, is the data feature vector between different independent sources, is the characteristic vector of the corresponding historical normal water quality data, and i represents the i-th water quality data.

[0008] As a further solution of the present invention: Water supply fluctuation index The acquisition process is as follows: within a water supply monitoring cycle, the monitoring cycle is divided into several equal time periods, and the water supply in each time period is obtained, recorded as , j represents the number of time periods collected; Integrate the water supply in all time periods to obtain a water supply group; calculate the mean value within the water supply group and standard deviation ; According to the water supply fluctuation during the monitoring period, the water supply fluctuation index is calculated; the specific calculation expression is: , where It is the fluctuation index of water supply in the current cycle.

[0009] As a further solution of the present invention: water supply energy consumption index The acquisition process is as follows: within a water supply monitoring cycle, the monitoring cycle is divided into several equal time periods, and the energy consumption of the water supply system during operation in each time period is obtained, recorded as ; The energy consumption time division is the same as the water supply time division; the water supply energy consumption in all time periods Integrate to obtain energy consumption groups; obtain the standard deviation value within the energy consumption group and average ; Through the formula Calculate the energy consumption index ;in, and is the preset scale factor, and and Both are greater than 0.

[0010] As a further solution of the present invention: in S2, the water supply data classification standard is: if the water supply suitability score Q is greater than or equal to the preset water supply suitability score threshold, it is recorded as suitable scheduling, otherwise, it is recorded as unsuitable scheduling.

[0011] As a further solution of the present invention: In S3, the method for adjusting the water supply data is: adjusting the interval according to the water quality deviation index , Water supply fluctuation index adjustment range Adjustment interval of water supply energy consumption index , respectively obtain the corresponding water supply data, and record the corresponding water supply data as adjustment standard data.

[0012] A water supply scheduling system based on a multi-objective optimization model includes a water supply data acquisition module, a water supply data analysis module, a water supply data division module and a water supply data adjustment module; A water supply data collection module, which is used to collect water supply data, including water quality, water supply volume and water supply energy consumption; A water supply data analysis module, which is used to process water supply data to obtain a water supply suitability score; A water supply data division module, wherein the water supply data is divided into suitable scheduling and unsuitable scheduling according to the suitability score; A water supply data adjustment module executes water supply based on a water supply situation that is suitable for scheduling; adjusts water supply data based on a water supply situation that is not suitable for scheduling, and continues to monitor the water supply data to determine whether the suitability of water supply is improved.

[0013] Beneficial effects of the present invention: (1) The present invention calculates the water supply suitability score by comprehensively analyzing water quality, water supply quantity and water supply energy consumption data, and determines the suitability of water supply scheduling based on the score, thereby significantly improving the reliability and stability of the water supply system. Traditional water supply management systems often rely on manual experience or a single indicator for scheduling, and it is difficult to fully consider the impact of multiple factors such as water quality, water quantity and energy consumption. The technical solution of the present invention not only can grasp the operating status of the water supply system in real time by introducing a multi-dimensional data monitoring and analysis mechanism, but also can objectively evaluate the effect of water supply scheduling through quantitative indicators (such as water quality deviation index, water supply fluctuation index and energy consumption index). In particular, in the case of inappropriate scheduling, the present invention provides clear adjustment directions and intervals, so that managers can accurately adjust water supply data according to the water quality deviation index adjustment interval, water supply fluctuation index adjustment interval and water supply energy consumption index adjustment interval, avoiding system instability that may be caused by blind adjustment. In addition, through continuous monitoring and optimization, the present invention can ensure the long-term stable operation of the water supply system under a constantly changing external environment. (2) Through the refined management and adjustment of the water supply energy consumption index, the present invention can effectively reduce energy consumption and waste in the water supply process. Through the strict control of the water quality deviation index, the present invention can ensure that the water quality is always in a good state, reduce the secondary treatment cost caused by water quality problems, and further save resources. The multi-objective optimization method proposed in the present invention can balance the relationship between water quality, water volume and energy consumption, so that each adjustment can take into account the overall benefits of the system, avoiding the practice of simply pursuing a certain indicator while ignoring other key factors, thereby achieving the optimal allocation of resources. This comprehensive optimization strategy improves the operating efficiency of the water supply system. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The present invention will be further described below in conjunction with the accompanying drawings.

[0015] Figure 1 It is a flow chart of the water supply scheduling method based on the multi-objective optimization model of the present invention; Figure 2 It is a flowchart of the comprehensive analysis process of water supply suitability score in the present invention; Figure 3 It is a flowchart of the water supply suitability judgment and execution scheme in the present invention. DETAILED DESCRIPTION

[0016] 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.

[0017] See also Figure 1 As shown, the present invention is a water supply scheduling method based on a multi-objective optimization model, comprising the following steps: S1: Acquire water supply data, process the water supply data, and obtain a water supply suitability score; wherein the water supply data includes: water quality, water supply quantity, and water supply energy consumption; S2: Divide the water supply data into suitable dispatch and unsuitable dispatch according to the suitability score; S3: Based on the water supply situation that is suitable for scheduling, water supply is implemented; based on the water supply situation that is not suitable for scheduling, water supply data is adjusted to find the optimal combination solution; S4: Based on the water supply scheduling under the optimal combination solution, continue to monitor the water supply data to determine whether the water supply suitability has improved.

[0018] See also Figure 2 As shown, in S1, the suitability score in the water supply scheduling process is obtained through comprehensive analysis of water supply data, including: Collect water supply data, including data on water quality, water availability, and energy consumption; this data can be obtained from sensors, historical records, or other data sources; In a water supply monitoring cycle, the water quality data of the current cycle is obtained, including water turbidity, water pH, amount of dissolved oxygen in water, water conductivity, degree of oxidation of organic matter in water and content of organic matter in water; The characteristics of water turbidity, water pH, dissolved oxygen content in water, water conductivity, degree of oxidation of organic matter in water and content of organic matter in water are expressed as vectors, each characteristic rule is standardized, and a vector score of each rule is set, wherein each characteristic rule is set with a corresponding score; The data feature vectors between different independent sources and the feature vectors of the corresponding historical normal water quality data are regarded as a set of data for comparison; For the eigenvector information in each set of data, the deviation index of the eigenvector is calculated, and the calculation formula is: ; Where F is the deviation index between the characteristic vector of the current period water quality data and the corresponding characteristic vector of the historical normal water quality data, is the data feature vector between different independent sources, is the characteristic vector of the corresponding historical normal water quality data, i represents the i-th water quality data, i=1,2,...,n; It should be noted that the deviation index is the degree of water quality deviation obtained by comparing current water quality data with historical water quality data. The larger the water quality deviation index, the worse the water quality in the corresponding period.

[0019] In a water supply monitoring cycle, the monitoring cycle is divided into several equal time periods (such as every hour) to obtain the water supply in each time period, which is recorded as , j represents the number of time periods collected, j=1,2,...,m; integrate the water supply in all time periods to obtain a water supply group; calculate the mean value within the water supply group and standard deviation ; According to the water supply fluctuation during the monitoring period, the water supply fluctuation index is calculated; the specific calculation expression is: , where is the fluctuation index of water supply in the current cycle; It should be noted that the water supply fluctuation index is obtained based on the mean and standard deviation of water supply in all time periods within a monitoring cycle. The water supply fluctuation index reflects the stability of water supply within the monitoring cycle. The larger the water supply fluctuation index, the more unstable the water supply in the current cycle. When the water supply fluctuation index is smaller and less than the threshold, it means that the water supply within the corresponding monitoring cycle is in a stable state.

[0020] In a water supply monitoring cycle, the monitoring cycle is divided into several equal time periods (such as every hour), and the energy consumption of the water supply system during operation in each time period is obtained, which is recorded as ; The energy consumption time division is the same as the water supply time division; the water supply energy consumption in all time periods Integrate to obtain energy consumption groups; obtain the standard deviation value within the energy consumption group and average ; Through the formula Calculate the energy consumption index ;in, and is the preset scale factor, and and All are greater than 0; It should be noted that: Energy consumption index It reflects the energy consumption of the water supply system during the current monitoring period; a lower comprehensive energy consumption index indicates lower energy consumption, while a higher comprehensive energy consumption index indicates higher energy consumption, which requires further analysis of the reasons and taking corresponding measures to optimize it.

[0021] The water quality deviation index F and water supply fluctuation index and water supply energy consumption index After comprehensive analysis, the water supply suitability score is obtained. The specific calculation expression is: ; In the formula, Q is the suitability score Q, , and is the preset scale factor, and > > >0; It should be noted that the suitability score Q reflects the comprehensive evaluation performance of the water supply system during the current monitoring period, and the larger the suitability score Q is, the better the current water supply scheduling plan is and the better the water supply effect is.

[0022] See also Figure 3 As shown, in S2, based on S1, the water supply suitability score Q is obtained, and the water supply suitability score Q is compared with the preset water supply suitability score threshold; if the water supply suitability score Q is greater than or equal to the preset water supply suitability score threshold, it means that the water supply scheduling in the corresponding monitoring period is good, which is recorded as suitable scheduling; if the water supply suitability score Q is less than the preset water supply suitability score threshold, it means that the water supply scheduling in the corresponding monitoring period is poor, which is recorded as unsuitable scheduling; It should be noted that by calculating the suitability score within the monitoring period and evaluating the current water supply scheduling effect, the current water supply scheduling method can be adjusted in a timely manner to improve the energy consumption and water supply efficiency of the water supply process.

[0023] In S3, based on S2, if the water supply is suitable for scheduling, the current water supply plan will continue to be implemented and the monitoring frequency will be reduced; based on the water supply situation that is not suitable for scheduling, the water supply data will be adjusted to find the optimal combination solution; Specifically: If the water supply scheduling is judged to be suitable for scheduling, the current water supply plan will continue to be implemented, and the monitoring frequency can be reduced, because the water supply system is operating well at this time and does not need frequent monitoring; If the water supply scheduling is judged to be inappropriate, it is necessary to adjust the water supply data and find the optimal combination solution, which involves the following steps: Obtain different water supply scheduling within a number of the same monitoring periods, compare the suitability scores Q within all monitoring periods with the preset suitability scores, and obtain a number of suitable scheduling periods and non-suitable scheduling periods; The water quality deviation index F and water supply fluctuation index within all suitable scheduling cycles are calculated. and water supply energy consumption index According to the order of size, they are integrated to obtain the appropriate scheduling water quality deviation index group, the appropriate scheduling water supply fluctuation index group and the appropriate scheduling water supply energy consumption index group; The water quality deviation index F and water supply fluctuation index in all unsuitable scheduling periods are calculated. and water supply energy consumption index In order of size, they are integrated to obtain the unsuitable scheduling water quality deviation index group, the unsuitable scheduling water supply fluctuation index group, and the unsuitable scheduling water supply energy consumption index group; Obtain the intersection between the suitable scheduling water quality deviation index group and the unsuitable scheduling water quality deviation index group, sort the suitable scheduling water quality deviation index by size, obtain the suitability water quality deviation index interval, remove the intersection of the suitability water quality deviation index interval, and obtain the water quality deviation index adjustment interval ,in, is the minimum water quality deviation index within the water quality deviation index adjustment interval, is the maximum water quality deviation index within the water quality deviation index adjustment range; Obtain the intersection between the suitable scheduling water supply fluctuation index group and the non-suitable scheduling water supply fluctuation index group, sort the suitable scheduling water supply fluctuation index by size, obtain the suitability water supply fluctuation index interval, remove the intersection of the suitability water supply fluctuation index interval, and obtain the water supply fluctuation index adjustment interval ;in, is the minimum water supply fluctuation index within the water supply fluctuation index adjustment range, The maximum water supply fluctuation index within the water supply fluctuation index adjustment range; Obtain the intersection between the suitable scheduling water supply energy consumption index group and the non-suitable scheduling water supply energy consumption index group, sort the suitable scheduling water supply energy consumption index by size, obtain the suitability water supply energy consumption index interval, remove the intersection of the suitability water supply energy consumption index interval, and obtain the water supply energy consumption index adjustment interval ,in, is the minimum water supply energy consumption index within the water supply energy consumption index adjustment range, The maximum water supply energy consumption index within the water supply energy consumption index adjustment range; Adjust the interval according to the water quality deviation index , Water supply fluctuation index adjustment range Adjustment interval of water supply energy consumption index , respectively obtain the corresponding water supply data, and record the corresponding water supply data as adjustment standard data.

[0024] It should be noted that: a comprehensive analysis is conducted on a batch of different water supply scheduling cycles, and the adjustment interval is obtained based on the water supply cycles that are suitable for scheduling and not suitable for scheduling. The corresponding water supply data can be adjusted according to the adjustment interval, so that the multi-target water supply data can obtain a more suitable adjustment range.

[0025] In S4, based on S3, the water supply data of non-suitable scheduling is obtained, and the water quality deviation index F and water supply fluctuation index are calculated. and water supply energy consumption index , adjust the interval according to the water quality deviation index , Water supply fluctuation index adjustment range Adjustment interval of water supply energy consumption index , adjust the water supply data, and calculate the suitability score within a monitoring period after the adjustment. If the suitability score within the adjusted monitoring period is greater than or equal to the preset suitability score threshold, it means that the adjustment is appropriate and no further adjustment is required; if the suitability score within the adjusted monitoring period is less than the preset suitability score threshold, continue the adjustment method in S3 to continue to narrow the adjustment interval.

[0026] A water supply scheduling system based on a multi-objective optimization model includes a water supply data acquisition module, a water supply data analysis module, a water supply data division module and a water supply data adjustment module; A water supply data collection module, which is used to collect water supply data, including water quality, water supply volume and water supply energy consumption; A water supply data analysis module, which is used to process water supply data to obtain a water supply suitability score; A water supply data division module, wherein the water supply data is divided into suitable scheduling and unsuitable scheduling according to the suitability score; A water supply data adjustment module executes water supply based on a water supply situation that is suitable for scheduling; adjusts water supply data based on a water supply situation that is not suitable for scheduling, and continues to monitor the water supply data to determine whether the suitability of water supply is improved.

[0027] The technical solution of the present invention is to calculate the water supply suitability score by collecting and processing water quality, water supply and water supply energy consumption data within a water supply monitoring cycle, and divide the water supply scheduling into suitable scheduling and unsuitable scheduling according to the comparison between the score and the preset threshold; for suitable scheduling, continue to implement the current water supply plan and reduce the monitoring frequency; for unsuitable scheduling, by analyzing the suitability scores and their various indicators within several monitoring cycles, determine the adjustment intervals of the water quality deviation index, water supply fluctuation index and water supply energy consumption index, and adjust the water supply data based on these intervals, in order to improve the water supply suitability score; within a monitoring cycle after adjustment, recalculate the suitability score, if the score meets the standard, stop adjusting; otherwise, continue to narrow the adjustment interval until the expected effect is achieved. This technical solution can timely discover and optimize the deficiencies of the water supply system, improve the water supply quality and efficiency, reduce energy consumption, and ensure the stability and reliability of the water supply system.

[0028] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0029] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0030] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0031] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0032] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A water supply scheduling method based on a multi-objective optimization model, characterized in that: The following steps are involved: S1: Acquire water supply data, process the water supply data, and obtain a water supply suitability score; wherein the water supply data includes: water quality, water supply quantity, and water supply energy consumption; S2: Divide the water supply data into suitable dispatch and unsuitable dispatch according to the suitability score; S3: Based on the water supply situation that is suitable for scheduling, water supply is implemented; based on the water supply situation that is not suitable for scheduling, water supply data is adjusted to find the optimal combination solution; S4: Based on the water supply scheduling under the optimal combination solution, continue to monitor the water supply data to determine whether the water supply suitability has improved.

2. The water supply scheduling method based on the multi-objective optimization model according to claim 1 is characterized in that: The water supply suitability score obtained by processing the water supply data is specifically: In a water supply monitoring cycle, water quality data is collected and analyzed to obtain the water quality deviation index F, where the water quality data includes: water turbidity, water pH, dissolved oxygen content in water, water conductivity, oxidation degree of organic matter in water, and content of organic matter in water; In a water supply monitoring cycle, water supply data is collected and analyzed to obtain the water supply fluctuation index. , where the water supply data is the water supply; In a water supply monitoring cycle, water supply energy consumption data is collected and analyzed to obtain the water supply energy consumption index. ,The water supply energy consumption data refers to the energy consumption during the operation of the water supply system; The water quality deviation index F and water supply fluctuation index and water supply energy consumption index Substitute it into the comprehensive analysis formula to obtain the water supply suitability score; Wherein, the comprehensive analysis formula is: ； In the formula, Q is the suitability score, , and is the preset scale factor, and > > >

0.

3. The water supply scheduling method based on the multi-objective optimization model according to claim 2 is characterized in that: In a water supply monitoring cycle, water quality data is collected and analyzed to obtain the water quality deviation index F, which specifically includes: The characteristics of water turbidity, water pH, dissolved oxygen content in water, water conductivity, degree of oxidation of organic matter in water and content of organic matter in water are expressed as vectors, each characteristic rule is standardized, and the vector score of each rule is set, and each characteristic rule is set with a corresponding score; The data feature vectors between different independent sources and the feature vectors of the corresponding historical normal water quality data are regarded as a set of data for comparison; For each set of data, the water quality deviation index is calculated: The water quality deviation index calculation formula is: ； Where F is the deviation index between the characteristic vector of the current period water quality data and the corresponding characteristic vector of the historical normal water quality data. is the data feature vector between different independent sources, is the characteristic vector of the corresponding historical normal water quality data, and i represents the i-th water quality data.

4. The water supply scheduling method based on the multi-objective optimization model according to claim 2 is characterized in that: In a water supply monitoring cycle, water supply data is collected and analyzed to obtain a water supply fluctuation index. Specifically include: The monitoring period is divided into several equal time periods to obtain the water supply in each time period, recorded as , j represents the number of time periods collected; Integrate the water supply in all time periods to obtain a water supply group; Calculate the mean within the water supply group and standard deviation ; Calculate the water supply fluctuation index based on the water supply fluctuation during the monitoring period; The calculation formula of water supply fluctuation index is: ； In the formula, It is the fluctuation index of water supply in the current cycle.

5. The water supply scheduling method based on a multi-objective optimization model according to claim 2 is characterized in that: In a water supply monitoring cycle, water supply energy consumption data is collected and analyzed to obtain a water supply energy consumption index. Specifically include: The monitoring period is divided into several equal time periods, and the energy consumption of the water supply system in each time period is obtained, which is recorded as ; The energy consumption division time period is the same as the water supply division time period; The water supply energy consumption in all time periods Perform integration to obtain energy consumption groups; Get the standard deviation value within the energy consumption group and average ; Calculate the energy consumption index based on the energy consumption of the water supply system during operation within the monitoring period; The energy consumption index calculation formula is: ； in, is the energy consumption index during the water supply monitoring period, and is the preset scale factor, and and Both are greater than 0.

6. The water supply scheduling method based on a multi-objective optimization model according to claim 1 is characterized in that: The water supply data is divided according to the suitability score; The water supply data classification standards are: Determine whether the suitability score Q is greater than or equal to the preset water supply suitability score threshold. If so, it is recorded as suitable scheduling, otherwise, it is recorded as unsuitable scheduling.

7. The water supply scheduling method based on a multi-objective optimization model according to claim 1 is characterized in that: The water supply data is adjusted based on the water supply situation suitable for scheduling to obtain the adjustment interval, which specifically includes: Adjustment interval according to water quality deviation index , Water supply fluctuation index adjustment range Adjustment interval of water supply energy consumption index , respectively obtain the corresponding water supply data, and record the corresponding water supply data as adjustment standard data.

8. The water supply scheduling system based on the multi-objective optimization model is characterized by: A water supply scheduling method based on a multi-objective optimization model for implementing any one of claims 1 to 7, comprising: A water supply data collection module, which is used to collect water supply data, including water quality, water supply volume and water supply energy consumption; A water supply data analysis module, which is used to process water supply data to obtain a water supply suitability score; A water supply data division module, wherein the water supply data is divided into suitable scheduling and unsuitable scheduling according to the suitability score; A water supply data adjustment module executes water supply based on a water supply situation that is suitable for scheduling; adjusts water supply data based on a water supply situation that is not suitable for scheduling, and continues to monitor the water supply data to determine whether the suitability of water supply is improved.

9. The water supply scheduling system based on the multi-objective optimization model according to claim 8, characterized in that: The water supply data analysis module at least includes: A water quality deviation index calculation unit, which is used to obtain water quality data within a water supply monitoring period and calculate a water quality deviation index; A water supply fluctuation index calculation unit, the water supply fluctuation index unit is used to obtain the water supply within the water supply monitoring period and calculate the water supply fluctuation index; A water supply energy consumption index calculation unit is used to obtain the energy consumption of the water supply system during operation within a water supply monitoring period and calculate the water supply energy consumption index.

10. The water supply scheduling system based on the multi-objective optimization model according to claim 9 is characterized in that: The water supply data adjustment module at least includes: A water quality deviation index adjustment interval unit, which is used to obtain water supply conditions within multiple monitoring cycles and obtain a water quality deviation index adjustment interval through comprehensive analysis; A water supply fluctuation index adjustment interval unit, which is used to obtain water supply conditions within multiple monitoring cycles and obtain a water supply fluctuation index adjustment zone through comprehensive analysis; The water supply energy consumption index adjustment interval unit is used to obtain water supply conditions within multiple monitoring cycles and obtain the water supply energy consumption index adjustment interval through comprehensive analysis.

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