Intelligent scheduling system and method for waterworks

Abstract

The invention provides a waterworks intelligent scheduling system and method, and the method comprises the steps: determining an initial water supply strategy of each water outlet end according to the layout of a water supply pipe network of all water outlet ends of a waterworks; according to the real-time pipeline pressure data of the water supply pipe network layout, all key nodes of the water supply pipe network layout are calibrated; according to the distribution characteristics of the key nodes, the pressure drop change state in the water supply network is estimated, and an initial water supply strategy is corrected, so that a pump station operation strategy corresponding to the water outlet end is determined; according to the pump station operation strategies of all the water outlet ends and the actual water treatment condition of the waterworks, operation parameter change is carried out on the pump station corresponding to each water outlet end; and according to the actual load of the pump station corresponding to each water outlet end, the working modes of the pump stations are switched. Real-time water supply monitoring is carried out on a water supply pipe network connected with a waterworks, a water supply strategy and a pump station operation strategy are adaptively adjusted, scheduling operation is carried out from the water supply level and the water delivery level, and normal and stable water supply of the water supply pipe network is guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of tap water supply, and in particular to a tap water plant intelligent scheduling system and method. BACKGROUND

[0002] The tap water plant centrally purifies and processes natural environment water bodies such as river water, lake water or rainwater, and delivers tap water to user terminals distributed in different places through a water supply pipe network. The pump station is the core component of the water supply system of the tap water plant, and it plays a role in boosting and adjusting water volume delivery. In an actual water supply scenario, the tap water plant is provided with multiple water outlets, each of which is connected to a corresponding water supply pipe network, and the tap water produced by the tap water plant through purification processing is outputted outside through each water outlet. However, the water supply pipe network is inevitably affected by internal and external environmental factors, which leads to insufficient water pressure in some pipes and cannot meet the normal water supply demand. Therefore, how to automatically schedule the operation of the pump station of the tap water plant according to the actual water pressure of the water supply pipe network is of great significance to ensure the normal and stable water supply of the water supply pipe network. SUMMARY

[0003] The present application aims to provide a tap water plant intelligent scheduling system and method, which determines the initial water supply strategy of each water outlet according to the water supply pipe network layout of all water outlets of the tap water plant, calibrates all key nodes of the water supply pipe network layout according to real-time pipe pressure data of the water supply pipe network layout, estimates the pressure drop change state of the internal water supply pipe network of the water outlet according to the distribution characteristics of the key nodes, and corrects the initial water supply strategy to determine the operation strategy of the pump station corresponding to the water outlet, changes the operation parameters of the pump station corresponding to each water outlet according to the operation strategy of the pump station of all water outlets and the water treatment status of the tap water plant, and switches the working mode of the pump station according to the actual load of the pump station corresponding to each water outlet. Through real-time water supply monitoring of the water supply pipe network connected to the tap water plant, the water supply strategy and the pump station operation strategy are adaptively adjusted, and scheduling operations are performed from the water supply and water delivery level to ensure the normal and stable water supply of the water supply pipe network.

[0004] The present application is achieved by the following technical solutions: A tap water plant intelligent scheduling system, comprising: A water supply strategy determination module is configured to obtain the water supply pipe network layout of all water outlets of the tap water plant, and determine the initial water supply strategy of each water outlet according to the water supply pipe network layout; A node calibration module is configured to calibrate all key nodes of the water supply pipe network layout according to real-time pipe pressure data of the water supply pipe network layout; A water supply strategy correction module is configured to estimate the pressure drop change state of the internal water supply pipe network of the water outlet according to the distribution characteristics of the key nodes, and correct the initial water supply strategy in this way; a pump station operation determination module configured to determine a pump station operation strategy corresponding to each water outlet end according to the corrected initial water supply strategy; a pump station operation change module configured to change operation parameters of each pump station corresponding to each water outlet end according to the pump station operation strategies of all water outlet ends and water treatment conditions of the waterworks; a working mode switching module configured to switch working modes of the pump stations corresponding to each water outlet end according to actual loads of the pump stations.

[0005] Optionally, the water supply strategy determination module is configured to obtain a water supply network layout of all water outlet ends of the waterworks, and determine an initial water supply strategy of each water outlet end according to the water supply network layout, including: obtaining a water supply network layout map of each water outlet end of the waterworks, wherein the water supply network layout map includes a topological connection relationship and a pipe size of a main water supply pipeline and a water supply branch pipeline connected to each water outlet end respectively; determining an initial water supply strategy of each water outlet end according to the water supply network layout map and a desired water supply pressure condition of the water supply branch pipeline, wherein the desired water supply pressure condition refers to a water supply pressure along a whole line of the water supply branch pipeline, and the initial water supply strategy refers to a change strategy of an initial water supply pressure of each water outlet end with time; the node calibration module is configured to calibrate all key nodes of the water supply network layout according to real-time pipe pressure data of the water supply network layout, including: obtaining real-time pipe dynamic pressure data of the main water supply pipeline and the water supply branch pipeline along a line respectively, extracting time information and position information of a pressure abnormal fluctuation event from the real-time pipe dynamic pressure data, so as to calibrate the key nodes of the main water supply pipeline and the water supply branch pipeline respectively; wherein the key nodes refer to position points of leakage inside the pipelines.

[0006] Optionally, the water supply strategy correction module is configured to estimate a pressure drop change state inside the water supply network of the water outlet end according to distribution characteristics of the key nodes, so as to correct the initial water supply strategy, including: estimating a pressure drop change state along a line of each pipeline according to a distribution position of the key nodes along a line of each pipeline in the water supply network layout and a leakage flow of the key nodes, so as to integrate the pressure drop change state inside the water supply network of the water outlet end; wherein the pressure drop change state refers to a water pressure drop value per unit length of the pipeline; determining a pressure gap corresponding to a state of maintaining a preset water supply pressure of the water supply network according to the pressure drop change state inside the water supply network, so as to correct the initial water supply strategy; the pump station operation determination module is configured to determine a pump station operation strategy corresponding to each water outlet end according to the corrected initial water supply strategy, including: According to the corrected initial water supply strategy and the water pump cluster operation state of each outlet end, the pump station operation strategy corresponding to each outlet end is determined; wherein the water pump cluster operation state refers to the actual operation load of the water pump cluster subordinate water pump in the pump station; the pump station operation strategy refers to the operation load change value of the water pump cluster subordinate water pump in the pump station.

[0007] Optionally, according to the pressure drop change state, it is determined whether there is a water supply pipe network leakage point, and whether to alarm, including: Real-time monitoring of the actual water pressure drop value corresponding to the pressure drop change state of the water supply pipe network; Accessing the standard water pressure drop value corresponding to the pressure drop change state of the water supply pipe network; Using the actual water pressure drop value and the standard water pressure drop value of the water supply pipe network to obtain a water pressure influence factor; Wherein, the water pressure influence factor is obtained by the following formula:

[0008] Wherein, f represents the water pressure influence factor; n represents the collection times of the pressure drop change state of the water supply pipe network; Pi+1 and Pi respectively represent the actual water pressure drop value corresponding to the i+1th and i th data collection; Pe represents the standard deviation of the pressure drop change state corresponding to the current n times data collection; Pz represents the standard water pressure drop value corresponding to the pressure drop change state of the water supply pipe network; Pmax represents the maximum value of the actual water pressure drop value of the pressure drop change state corresponding to the current n times data collection; Pb represents the average value of the actual water pressure drop value of the pressure drop change state corresponding to the current n times data collection; Comparing the water pressure influence factor with the preset factor threshold value; When the water pressure influence factor exceeds the preset factor threshold value, the actual water supply flow corresponding to each key point in the water supply pipe network is monitored in real time; Accessing the rated water supply flow corresponding to the pipeline design corresponding to each key point in the water supply pipe network; Using the actual water supply flow and the rated water supply flow corresponding to each key point in combination with the water pressure influence factor to obtain a water pressure abnormality judgment parameter; Wherein, the water pressure abnormality judgment parameter is obtained by the following formula:

[0009] Wherein, Q represents the water pressure abnormality judgment parameter; f represents the water pressure influence factor; fy represents the preset factor threshold value; A represents the leakage influence correction coefficient, the value range is 0.8-1.2; m represents the total number of key points; Vi represents the actual water supply flow corresponding to the i th key point; Vei represents the rated water supply flow corresponding to the i th key point. comparing the water pressure abnormality judgment parameter with a preset parameter threshold value; When the water pressure abnormality judgment parameter exceeds the preset parameter threshold value, it is determined that there is a water supply network leakage point in the current water supply network, and an alarm is given.

[0010] Optionally, the pump station operation change module is configured to change the operation parameters of the pump station corresponding to each water outlet according to the pump station operation strategy of all water outlets and the water treatment status of the waterworks, including: obtaining the real-time purified water output flow of the waterworks to determine the purified water distribution flow of each water outlet; and adjusting the pressure boosting target value parameter of each water pump under the pump station corresponding to each water outlet according to the purified water distribution flow and the pump station operation strategy of all water outlets; The working mode switching module is configured to switch the working mode of the pump station corresponding to each water outlet according to the actual load of the pump station, including: According to the actual load of each water pump under the pump station corresponding to each water outlet, identifying the water pump in the overloading state, and switching the water pump in the overloading state to the intermittent working mode.

[0011] A smart scheduling method for a waterworks, including: obtaining the water supply network layout of all water outlets of the waterworks, determining the initial water supply strategy of each water outlet according to the water supply network layout, and calibrating all key nodes of the water supply network layout according to the real-time pipeline pressure data of the water supply network layout; According to the distribution characteristics of the key nodes, estimating the pressure drop change state inside the water supply network of the water outlet, and correcting the initial water supply strategy; determining the pump station operation strategy corresponding to each water outlet according to the corrected initial water supply strategy; According to the pump station operation strategy of all water outlets and the water treatment status of the waterworks, changing the operation parameters of the pump station corresponding to each water outlet; and switching the working mode of the pump station corresponding to each water outlet according to the actual load of the pump station.

[0012] Optionally, the water supply network layout of all water outlets of the waterworks is obtained, and the initial water supply strategy of each water outlet is determined according to the water supply network layout; and all key nodes of the water supply network layout are calibrated according to the real-time pipeline pressure data of the water supply network layout, including: obtaining the water supply network layout map of each water outlet of the waterworks, wherein the water supply network layout map includes the topological connection relationship and pipeline size of each water outlet connected to the water supply main pipeline and its water supply branch pipeline; determining an initial water supply strategy of each water outlet according to the water supply network layout map and a desired water supply pressure condition of the water supply branch pipe; wherein the desired water supply pressure condition refers to a water supply pressure along a line of the water supply branch pipe; and the initial water supply strategy refers to a change strategy of an initial water supply pressure of each water outlet over time; acquiring real-time pipe dynamic pressure data of the water supply main pipe and the water supply branch pipe along a line of each pipe, extracting pressure abnormal fluctuation event occurrence time information and position information from the real-time pipe dynamic pressure data, and using the information to mark a key node of each of the water supply main pipe and the water supply branch pipe; wherein the key node refers to a position point of a leakage inside the pipe.

[0013] Optionally, according to the distribution characteristics of the key node, a pressure drop change state inside the water supply network of the water outlet is estimated, so as to correct the initial water supply strategy; and according to the corrected initial water supply strategy, a pump station operation strategy corresponding to each water outlet is determined, including: According to the distribution position of the key node along a line of each pipe in the water supply network layout and a key node leakage flow, a pressure drop change state along a line of each pipe is estimated, so as to integrate the pressure drop change state inside the water supply network of the water outlet; wherein the pressure drop change state refers to a water pressure drop value of a unit length pipe; according to the pressure drop change state inside the water supply network, a pressure gap corresponding to a water supply pressure state maintained by the water supply network is determined, so as to correct the initial water supply strategy; According to the corrected initial water supply strategy and a water pump cluster operation state of each water outlet, a pump station operation strategy corresponding to each water outlet is determined; wherein the water pump cluster operation state refers to an actual operation load of a water pump subordinate to the water pump cluster in the pump station; and the pump station operation strategy refers to an operation load change value of the water pump subordinate to the water pump cluster in the pump station.

[0014] Optionally, according to the pressure drop change state, it is determined whether there is a water supply network leakage point, and it is determined whether to alarm, including: Real-time monitoring of an actual water pressure drop value corresponding to the pressure drop change state of the water supply network; Retrieving a standard water pressure drop value corresponding to the pressure drop change state of the water supply network; Using the actual water pressure drop value and the standard water pressure drop value of the water supply network to obtain a water pressure influence factor; The water pressure influence factor is obtained by the following formula:

[0015] Wherein, f represents a water pressure influence factor; n represents a collection number of pressure drop change states of the water supply network; Pi+1 and Pi respectively represent actual water pressure drop values corresponding to the (i+1)th and ith data collection; Pe represents a standard deviation of the pressure drop change state corresponding to the current n-time data collection; Pz represents a standard water pressure drop value corresponding to the pressure drop change state of the water supply network; Pmax represents a maximum value of the actual water pressure drop value of the pressure drop change state corresponding to the current n-time data collection; and Pb represents an average value of the actual water pressure drop value of the pressure drop change state corresponding to the current n-time data collection. The water pressure influence factor is compared with a preset factor threshold value. When the water pressure influence factor exceeds the preset factor threshold value, actual water supply flow rates corresponding to each key point in the water supply network are monitored in real time. A rated water supply flow rate corresponding to a pipeline design of each key point in the water supply network is called. An abnormal water pressure judgment parameter is obtained by using the actual water supply flow rate and the rated water supply flow rate corresponding to each key point in combination with the water pressure influence factor. The abnormal water pressure judgment parameter is obtained by the following formula:

[0016] Wherein, Q represents the abnormal water pressure judgment parameter; f represents the water pressure influence factor; fy represents the preset factor threshold value; A represents a leakage influence correction coefficient, and the value range is 0.8-1.2; m represents a total number of key points; Vi represents an actual water supply flow rate corresponding to the ith key point; and Vei represents a rated water supply flow rate corresponding to the ith key point. The abnormal water pressure judgment parameter is compared with a preset parameter threshold value. When the abnormal water pressure judgment parameter exceeds the preset parameter threshold value, it is determined that there is a water supply network leakage point in the current water supply network, and an alarm is given.

[0017] Optionally, according to a pump station operation strategy of all water outlets and a water treatment live situation of the waterworks, an operation parameter of a pump station corresponding to each water outlet is changed; according to an actual load of the pump station corresponding to each water outlet, a working mode of the pump station is switched, including: A real-time purified water output flow rate of the waterworks is obtained to determine a purified water distribution flow rate of each water outlet; according to the purified water distribution flow rate and a pump station operation strategy of all water outlets, a booster target value parameter of each water pump under each pump station corresponding to each water outlet is adjusted; According to an actual load of each water pump under the pump station corresponding to each water outlet, a water pump in an overload state is identified, so that the water pump in the overload state is switched to an intermittent working mode.

[0018] Compared with the prior art, the present application has the following beneficial effects: The waterworks intelligent scheduling system and method provided by the present application determines an initial water supply strategy for each water outlet end according to the water supply pipe network layout of all water outlet ends of the waterworks; calibrates all key nodes of the water supply pipe network layout according to real-time pipe pressure data of the water supply pipe network layout; estimates the pressure drop change state inside the water supply pipe network according to the distribution characteristics of the key nodes, and corrects the initial water supply strategy, so as to determine the pump station operation strategy corresponding to the water outlet end; changes the operation parameters of the pump station corresponding to each water outlet end according to the pump station operation strategy of all water outlet ends and the water treatment status of the waterworks; and switches the working mode of the pump station according to the actual load of the pump station corresponding to each water outlet end. Through real-time water supply monitoring of the water supply pipe network connected to the waterworks, the water supply strategy and the pump station operation strategy are adaptively adjusted, scheduling operation is performed from the water supply and water transmission level, and normal and stable water supply of the water supply pipe network is ensured. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings. Among them: Figure 1 The structure diagram of the waterworks intelligent scheduling system provided by the present application.

[0020] Figure 2 The flowchart of the waterworks intelligent scheduling method provided by the present application. DETAILED DESCRIPTION

[0021] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings. It can be understood that the specific embodiments described here are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, in order to facilitate the description, only the parts related to the present application are shown in the drawings, but not all the structures. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0022] The terms "include" and "have" and any variations thereof in the present application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product or device.

[0023] Reference to an "embodiment" in this document means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another. As will be apparent to those of ordinary skill in the art, embodiments described herein can be combined with other embodiments.

[0024] Reference is made to Figure 1 As shown in the drawings, an embodiment of the present application provides a waterworks intelligent scheduling system. The waterworks intelligent scheduling system comprises: A water supply strategy determination module is configured to acquire a water supply network layout of all water outlets of a waterworks, and determine an initial water supply strategy of each water outlet according to the water supply network layout. A node calibration module is configured to calibrate all key nodes of the water supply network layout according to real-time pipeline pressure data of the water supply network layout. A water supply strategy correction module is configured to estimate a pressure drop change state inside a water supply network of a water outlet according to distribution characteristics of the key nodes, and correct the initial water supply strategy. A pump station operation determination module is configured to determine a pump station operation strategy corresponding to each water outlet according to the corrected initial water supply strategy. A pump station operation change module is configured to implement operation parameter change of a pump station corresponding to each water outlet according to the pump station operation strategy of all water outlets and water treatment conditions of the waterworks. A working mode switching module is configured to switch a working mode of the pump station corresponding to each water outlet according to an actual load of the pump station.

[0025] The waterworks intelligent scheduling system according to the above embodiment determines an initial water supply strategy of each water outlet according to a water supply network layout of all water outlets of a waterworks, calibrates all key nodes of the water supply network layout according to real-time pipeline pressure data of the water supply network layout, estimates a pressure drop change state inside a water supply network according to distribution characteristics of the key nodes, corrects the initial water supply strategy, determines a pump station operation strategy corresponding to each water outlet, implements operation parameter change of a pump station corresponding to each water outlet according to the pump station operation strategy of all water outlets and water treatment conditions of the waterworks, and switches a working mode of the pump station corresponding to each water outlet according to an actual load of the pump station. Through real-time water supply monitoring of a water supply network connected to the waterworks, the water supply strategy and the pump station operation strategy are adaptively adjusted, scheduling operation is performed from the water supply and water transmission level, and normal and stable water supply of the water supply network is ensured.

[0026] In another embodiment, the water supply strategy determination module is configured to obtain the water supply network layout of all water outlets of the waterworks, determine the initial water supply strategy of each water outlet according to the water supply network layout, including: obtaining the water supply network layout map of each water outlet of the waterworks, wherein the water supply network layout map includes the topological connection relationship and pipe size of the main water supply pipeline and the branch water supply pipeline connected to each water outlet; determining the initial water supply strategy of each water outlet according to the water supply network layout map and the expected water supply pressure condition of the branch water supply pipeline; wherein the expected water supply pressure condition refers to the water supply pressure along the branch water supply pipeline; the initial water supply strategy refers to the change strategy of the initial water supply pressure of each water outlet over time; The node calibration module is configured to calibrate all key nodes of the water supply network layout according to the real-time pipe pressure data of the water supply network layout, including: obtaining the real-time pipe dynamic pressure data of the main water supply pipeline and the branch water supply pipeline, extracting the time information and location information of the pressure abnormal fluctuation event from the real-time pipe dynamic pressure data, and calibrating the key nodes of the main water supply pipeline and the branch water supply pipeline; wherein the key node refers to the location point of the leakage inside the pipeline.

[0027] The above-mentioned embodiments have the beneficial effects that the waterworks collects and purifies river water, reservoir water or rainwater to obtain tap water meeting the corresponding drinking standards, and delivers the tap water to the outside through several water outlets of the waterworks. With the construction and improvement of the water supply network, each water outlet of the waterworks is connected to the corresponding water supply network, and each water outlet is also configured with a pump station, which can include a water pump cluster. The water pumps in the water pump cluster can independently or jointly pressurize the tap water output by the water outlet, ensuring that the water supply network maintains a corresponding water pressure state.

[0028] It can be understood that each water outlet end is connected to a water supply main pipeline, and a plurality of water supply branch pipelines are connected to the water supply main pipeline at different positions along the line, and the end of each water supply branch pipeline is connected to a water end such as a residence, that is, each water outlet end is connected to a water supply network, so that each water outlet end corresponds to a corresponding water supply network layout map, and the topological connection relationship and pipeline size of the water supply main pipeline and its water supply branch pipelines connected to each water outlet end can be obtained from the water supply network layout map, so as to comprehensively and accurately characterize the structure state of the water supply network connected to each water outlet end. The end of each water supply branch pipeline is directly connected to a water end, and each water end corresponds to a corresponding water supply pressure. The original water supply pressure of the water outlet end of the water plant directly affects the actual water supply pressure of each water end. In order to ensure that the water pressure of the water outlet end of the water plant meets the water pressure demand of each water end, according to the water supply network layout map of each water outlet end and the expected water supply pressure condition of each water supply branch pipeline thereof, the water pressure distribution of the entire water supply network is analyzed to determine the initial water supply strategy of each water outlet end. It can be understood that when each water outlet end changes and adjusts its corresponding water supply pressure according to its corresponding initial water supply strategy over time, theoretically, it can ensure that all water supply branch pipelines in the water supply network connected to itself maintain a corresponding water supply pressure along the line, thereby meeting the water pressure demand of the water end connected to the water supply branch pipeline.

[0029] In an actual water supply scene, the water supply main pipeline and the water supply branch pipeline may be cracked and leak due to aging of the pipeline material itself or external environmental factors. As the leakage of tap water inside the pipeline, the water pressure inside the pipeline will decrease, and the more dense the distribution of leakage points inside the pipeline or the greater the leakage flow, the greater the decrease in water pressure inside the pipeline, thereby affecting the final water supply pressure of the pipeline to the water end. If the water outlet end still implements water supply according to the above initial water supply strategy under the condition that there are many leakage points in the pipeline or the leakage flow is large, the water supply pressure in the pipeline cannot be effectively maintained, and therefore it is necessary to adaptively adjust the above initial water supply strategy according to the leakage condition inside the pipeline. Specifically, real-time pipeline dynamic pressure data of the water supply main pipeline and the water supply branch pipeline along the line is obtained, and time domain change analysis is performed on the above real-time pipeline dynamic pressure data to obtain pressure abnormal fluctuation event occurrence time information and position information corresponding to the water supply main pipeline and the water supply branch pipeline, wherein the pressure abnormal fluctuation event can be, but is not limited to, an event in which the water pressure drop value inside the pipeline exceeds a preset threshold. If the number of pressure abnormal fluctuation events occurring at a position point inside the water supply main pipeline or the water supply branch pipeline within a preset time length exceeds a preset number threshold, the corresponding position point is determined as a leakage position point (i.e. a key node), which provides a basis for subsequent estimation of the water pressure drop inside the water supply network.

[0030] In another embodiment, the water supply strategy correction module is configured to estimate the pressure drop change state inside the water supply network at the water outlet according to the distribution characteristics of the key nodes, so as to correct the initial water supply strategy, including: According to the distribution position of the key nodes along the line of each pipe in the water supply network layout and the leakage flow of the key nodes, the pressure drop change state along the line of each pipe is estimated, so as to integrate the pressure drop change state inside the water supply network at the water outlet; wherein the pressure drop change state refers to the water pressure drop value per unit length of the pipe; according to the pressure drop change state inside the water supply network, the pressure gap corresponding to the state of maintaining the preset water supply pressure of the water supply network is determined, so as to correct the initial water supply strategy; The pump station operation determination module is configured to determine the pump station operation strategy corresponding to each water outlet according to the corrected initial water supply strategy, including: According to the corrected initial water supply strategy and the water pump cluster operation state in the pump station of each water outlet, the pump station operation strategy corresponding to each water outlet is determined; wherein the water pump cluster operation state refers to the actual operation load of the water pump belonging to the water pump cluster in the pump station; the pump station operation strategy refers to the operation load change value of the water pump belonging to the water pump cluster in the pump station.

[0031] The beneficial effects of the above embodiments are known from the above analysis. The more the number of key nodes inside the pipe (inside the main water supply pipe or inside the branch water supply pipe), the more the distribution is dense, and the greater the leakage flow (i.e. the greater the volume of tap water penetrating outward per unit time), the faster and greater the water pressure drop inside the pipe. The spatial distribution and leakage state of the key nodes inside the pipe in the water supply network directly affect the water pressure stability of the water supply network. Therefore, according to the distribution position of the key nodes along the line of each pipe in the water supply network layout and the leakage flow of the key nodes, the pressure drop change state along the line of each pipe is estimated, so as to integrate the water pressure drop value per unit length of the pipe inside the water supply network at the water outlet. Then, according to the pressure drop change state inside the water supply network, the overall water pressure drop value inside the water supply network is determined. By comparing the water pressure drop value with the state of maintaining the preset water supply pressure of the water supply network, the pressure gap corresponding to the state of maintaining the preset water supply pressure of the water supply network is obtained, and the initial water supply strategy is corrected according to the pressure gap, such as correcting the initial water supply pressure of the water outlet corresponding to the initial water supply strategy, so as to ensure that the corrected water supply pressure of the water outlet compensates for the water pressure drop caused by the key node penetration.

[0032] Each outlet end is configured with a pump station, when the initial water supply strategy of the outlet end is corrected, the pump station of the outlet end needs to adaptively adjust the operation state of the water pump cluster in the pump station according to the corrected initial water supply strategy, specifically, according to the corrected initial water supply strategy and the actual operation load of the water pump subordinate to the water pump cluster in each outlet end pump station, the operation load change value of the water pump subordinate to the water pump cluster in each outlet end corresponding pump station is determined, so that each water pump in the pump station changes its own operation state, realizes accurate regulation and control of water pressure, and effectively maintains the normal and stable water pressure inside the water supply network.

[0033] In another embodiment, whether there is a water supply network leak point is determined according to the pressure drop change state, and whether to alarm is determined, including: Real-time monitoring of the actual water pressure drop value corresponding to the pressure drop change state of the water supply network; Retrieving the standard water pressure drop value corresponding to the pressure drop change state of the water supply network; Obtaining a water pressure influence factor using the actual water pressure drop value and the standard water pressure drop value of the water supply network; Wherein, the water pressure influence factor is obtained by the following formula: , Wherein, f represents the water pressure influence factor; n represents the collection times of the pressure drop change state of the water supply network; Pi+1 and Pi respectively represent the actual water pressure drop values corresponding to the i+1th and ith data collection; Pe represents the standard deviation of the pressure drop change state corresponding to the current n times data collection; Pz represents the standard water pressure drop value corresponding to the pressure drop change state of the water supply network; Pmax represents the maximum value of the actual water pressure drop value of the pressure drop change state corresponding to the current n times data collection; Pb represents the average value of the actual water pressure drop value of the pressure drop change state corresponding to the current n times data collection; Comparing the water pressure influence factor with a preset factor threshold value; When the water pressure influence factor exceeds the preset factor threshold value, the actual water supply flow corresponding to each key point in the water supply network is monitored in real time; Retrieving the rated water supply flow corresponding to the pipeline design corresponding to each key point in the water supply network; Obtaining a water pressure abnormality judgment parameter using the actual water supply flow and the rated water supply flow corresponding to each key point in combination with the water pressure influence factor; Wherein, the water pressure abnormality judgment parameter is obtained by the following formula: , wherein Q represents a water pressure anomaly judgment parameter; f represents a water pressure influence factor; fy represents a preset factor threshold; A represents a leakage influence correction coefficient, and the value range is 0.8-1.2; m represents the total number of key points; Vi represents the actual water supply flow corresponding to the ith key point; and Vei represents the rated water supply flow corresponding to the ith key point. The water pressure anomaly judgment parameter is compared with a preset parameter threshold. When the water pressure anomaly judgment parameter exceeds the preset parameter threshold, it is determined that there is a water supply pipeline network leakage point in the current water supply pipeline network, and an alarm is given.

[0034] The above-mentioned embodiments have the beneficial effects that the time series difference, statistical characteristics (standard deviation, maximum value, average value) of the pressure drop change are integrated with the relationship with the standard pressure drop through the water pressure influence factor f, and then the quantitative analysis of the difference between the actual and rated water supply flow is combined with the water pressure anomaly judgment parameter Q, so that the coupling judgment of the multi-dimensional data of “pressure drop + flow” is realized, the single index misjudgment is avoided, the accuracy of the leakage point identification is greatly improved, and the false alarm and missed alarm situations are effectively reduced. The water pressure influence factor f integrates the statistical characteristics of multiple data collection, which can adapt to the dynamic fluctuations of the water supply pipeline network pressure drop; the water pressure anomaly judgment parameter Q introduces the leakage influence correction coefficient A (with a specific value range), which can be dynamically adjusted according to the actual conditions such as the pipeline aging degree and the working condition difference, and enhances the adaptability to different pipeline network states and different operating conditions. At the same time, the two major leakage point core characteristic dimensions of “pressure drop change itself fluctuation” and “flow supply-demand difference” are covered, and the double performances of “water pressure anomaly” and “flow anomaly” caused by the leakage point are integrated from the physical mechanism, so that the leakage point judgment logic is more comprehensive, covering multiple causes and forms of the water supply pipeline network leakage point. At the same time, the leakage point judgment is transformed from experience-driven to a whole-process data-driven mode of “data collection-formula quantization-threshold comparison”, and the physical quantity is quantitatively associated and logically deduced by using mathematical formula as a carrier, so that the leakage point judgment is upgraded from qualitative experience to quantitative scientific decision-making, and the technical level of the water supply pipeline network leakage point monitoring is improved. The parameters (such as the collection times n, the number of key points m, and the value range of the leakage influence correction coefficient A) in the formula have clear engineering significance and operability, which is convenient for deploying monitoring equipment, collecting data and carrying out calculation in the actual pipeline network, and can directly guide the leakage point alarm and operation and maintenance decision-making of the engineering end, and improve the operation and maintenance efficiency and intelligent level of the water supply pipeline network.

[0035] In another embodiment, the pump station operation change module is configured to implement operation parameter changes for each pump station corresponding to each water outlet according to the pump station operation strategy of all water outlets and the water treatment status of the waterworks, including: The real-time purified water output flow of the waterworks is obtained to determine the purified water distribution flow of each water outlet; and the boost target value parameter of each water pump under each pump station corresponding to each water outlet is adjusted according to the purified water distribution flow and the pump station operation strategy of all water outlets. The working mode switching module is used to switch the working mode of the pump station according to the actual load of each water outlet corresponding pump station, including: According to the actual load of each water pump under each water outlet corresponding pump station, the water pump in the overload state is identified, and the water pump in the overload state is switched to the intermittent working mode.

[0036] The beneficial effects of the above embodiments take into account that the waterworks has multiple water outlets, each water outlet requires different external water delivery flow, and the water purification output of the waterworks is limited. In order to enable each water outlet to obtain the corresponding flow of purified water, the real-time purification water output flow of the waterworks is first obtained, and the purification water distribution flow of each water outlet is determined, and the booster target value parameters of each water pump under the pump station corresponding to each water outlet are adjusted in combination with the pump station operation strategy of all water outlets, such as first determining the purification water flow allocated to a certain water outlet, adjusting the booster target value parameters of the water pump corresponding to the above water outlet according to the running load change value of the water pump under the pump cluster in the pump station (i.e. the target water pressure value that the water pump needs to increase the input purified water to), ensure that each water pump accurately implements pressure boosting under the premise of its own bearable running load, and ensure that each water outlet corresponding water supply network can maintain the required water pressure. According to the actual load of each water pump under each water outlet corresponding pump station, the water pump in the overload state is identified, and the water pump in the overload state is switched to the intermittent working mode (i.e. the water pump works alternately for a period of time and then stops working for a period of time), which avoids damage caused by excessive load of individual water pumps while ensuring continuous operation of the whole pump station, effectively prolonging the service life of the pump station.

[0037] Please refer to Figure 2 An embodiment of the present application provides a waterworks intelligent scheduling method. The waterworks intelligent scheduling method comprises: Obtaining the water supply network layout of all water outlets of the waterworks, determining the initial water supply strategy of each water outlet according to the water supply network layout, and calibrating all key nodes of the water supply network layout according to the real-time pipeline pressure data of the water supply network layout. According to the distribution characteristics of the key nodes, estimate the pressure drop change state inside the water supply network of the water outlet, and correct the initial water supply strategy accordingly; according to the corrected initial water supply strategy, determine the pump station operation strategy corresponding to each water outlet; According to the pump station operation strategy of all water outlets and the water treatment status of the waterworks, implement running parameter change for the pump station corresponding to each water outlet; according to the actual load of each water outlet corresponding pump station, switch the working mode of the pump station.

[0038] The beneficial effects of the above embodiment are that the waterworks intelligent scheduling method determines the initial water supply strategy of each water outlet end according to the water supply network layout of all water outlet ends of the waterworks; calibrates all key nodes of the water supply network layout according to real-time pipeline pressure data of the water supply network layout; estimates the pressure drop change state inside the water supply network according to the distribution characteristics of the key nodes, and corrects the initial water supply strategy to determine the pump station operation strategy corresponding to the water outlet end; changes the operation parameters of the pump station corresponding to each water outlet end according to the pump station operation strategy of all water outlet ends and the water treatment status of the waterworks; and switches the working mode of the pump station according to the actual load of the pump station corresponding to each water outlet end. Through real-time water supply monitoring of the water supply network connected to the waterworks, the water supply strategy and the pump station operation strategy are adaptively adjusted, and scheduling operations are performed from the water supply and water transmission level to ensure normal and stable water supply of the water supply network.

[0039] In another embodiment, the water supply network layout of all water outlet ends of the waterworks is obtained, and the initial water supply strategy of each water outlet end is determined according to the water supply network layout; all key nodes of the water supply network layout are calibrated according to real-time pipeline pressure data of the water supply network layout, including: The water supply network layout map of each water outlet end of the waterworks is obtained, wherein the water supply network layout map includes the topological connection relationship and the pipeline size of each water outlet end connected to the main water supply pipeline and the water supply branch pipeline thereof; The initial water supply strategy of each water outlet end is determined according to the water supply network layout map and the expected water supply pressure condition of the water supply branch pipeline; wherein the expected water supply pressure condition refers to the water supply pressure along the line of the water supply branch pipeline; and the initial water supply strategy refers to the change strategy of the initial water supply pressure of each water outlet end over time; Real-time pipeline dynamic pressure data of the main water supply pipeline and the water supply branch pipeline along the line thereof is obtained, and the time information and the position information of the pressure abnormal fluctuation event are extracted from the real-time pipeline dynamic pressure data to calibrate the key nodes of the main water supply pipeline and the water supply branch pipeline; wherein the key node refers to the position point of the leakage inside the pipeline.

[0040] The beneficial effects of the above embodiment are that the waterworks collects and purifies river water, reservoir water or rainwater to obtain tap water meeting the corresponding drinking standards, and delivers the tap water to the outside through a plurality of water outlet ends of the waterworks. With the construction and increasing perfection of the water supply network, each water outlet end of the waterworks is connected to the corresponding water supply network, and each water outlet end is also configured with a pump station. The pump station can include a water pump cluster, and a plurality of water pumps in the water pump cluster can independently or jointly pressurize the tap water output by the water outlet end to ensure that the water pressure inside the water supply network is maintained at a corresponding state.

[0041] It can be understood that each water outlet end is connected to a water supply main pipeline, and a plurality of water supply branch pipelines are connected to the water supply main pipeline at different positions along the line, and the end of each water supply branch pipeline is connected to a water end such as a residence, that is, each water outlet end is connected to a water supply network, so that each water outlet end corresponds to a corresponding water supply network layout map, and the topological connection relationship and pipeline size of the water supply main pipeline and its water supply branch pipelines connected to each water outlet end can be obtained from the water supply network layout map, so as to comprehensively and accurately characterize the structure state of the water supply network connected to each water outlet end. The end of each water supply branch pipeline is directly connected to a water end, and each water end corresponds to a corresponding water supply pressure. The original water supply pressure of the water outlet end of the water plant directly affects the actual water supply pressure of each water end. In order to ensure that the water pressure of the water outlet end of the water plant meets the water pressure demand of each water end, according to the water supply network layout map of each water outlet end and the expected water supply pressure condition of each water supply branch pipeline thereof, the water pressure distribution of the entire water supply network is analyzed to determine the initial water supply strategy of each water outlet end. It can be understood that when each water outlet end changes and adjusts its corresponding water supply pressure according to its corresponding initial water supply strategy over time, theoretically, it can ensure that all water supply branch pipelines in the water supply network connected to itself maintain a corresponding water supply pressure along the line, thereby meeting the water pressure demand of the water end connected to the water supply branch pipeline.

[0042] In an actual water supply scene, the water supply main pipeline and the water supply branch pipeline may be cracked and leak due to aging of the pipeline material itself or external environmental factors. As the leakage of tap water inside the pipeline, the water pressure inside the pipeline will decrease, and the more dense the distribution of leakage points inside the pipeline or the greater the leakage flow, the greater the decrease in water pressure inside the pipeline, thereby affecting the final water supply pressure of the pipeline to the water end. If the water outlet end still implements water supply according to the above initial water supply strategy under the condition that there are many leakage points in the pipeline or the leakage flow is large, the water supply pressure in the pipeline cannot be effectively maintained, and therefore the above initial water supply strategy needs to be adaptively adjusted according to the leakage condition inside the pipeline. Specifically, real-time pipeline dynamic pressure data of the water supply main pipeline and the water supply branch pipeline along the line is obtained, time domain change analysis is performed on the above real-time pipeline dynamic pressure data, and time information and position information of pressure abnormal fluctuation events corresponding to the water supply main pipeline and the water supply branch pipeline are obtained. The pressure abnormal fluctuation event can be, but is not limited to, an event in which the water pressure drop inside the pipeline exceeds a preset threshold. If the number of pressure abnormal fluctuation events occurring at a position point inside the water supply main pipeline or the water supply branch pipeline within a preset time length exceeds a preset number threshold, the corresponding position point is determined as a leakage position point (i.e., a key node), which provides a basis for subsequent estimation of the water pressure drop inside the water supply network.

[0043] In another embodiment, according to the distribution characteristics of the key nodes, the pressure drop change state inside the water supply network of the water outlet is estimated to correct the initial water supply strategy; according to the corrected initial water supply strategy, the operation strategy of the pump station corresponding to each water outlet is determined, including: According to the distribution position of the key nodes along the line of each pipeline in the water supply network layout and the leakage flow of the key nodes, the pressure drop change state along the line of each pipeline is estimated, so as to integrate the pressure drop change state inside the water supply network of the water outlet; wherein the pressure drop change state refers to the water pressure drop value per unit length of the pipeline; according to the pressure drop change state inside the water supply network, the pressure gap corresponding to the state of maintaining the preset water supply pressure of the water supply network is determined, so as to correct the initial water supply strategy; According to the corrected initial water supply strategy and the water pump cluster operation state in the pump station of each water outlet, the pump station operation strategy corresponding to each water outlet is determined; wherein the water pump cluster operation state refers to the actual operation load of the water pump subordinate to the water pump cluster in the pump station; the pump station operation strategy refers to the operation load change value of the water pump subordinate to the water pump cluster in the pump station.

[0044] The beneficial effects of the above embodiments are known through the above analysis. The more the number of key nodes inside the pipeline (inside the main water supply pipeline or inside the branch water supply pipeline), the more intensive the distribution, and the greater the leakage flow (i.e. the greater the volume of tap water per unit time), the faster and greater the water pressure drop inside the pipeline. The spatial distribution and leakage state of the key nodes inside the pipeline in the water supply network directly affect the water pressure stability of the water supply network. Therefore, according to the distribution position of the key nodes along the line of each pipeline in the water supply network layout and the leakage flow of the key nodes, the pressure drop change state along the line of each pipeline is estimated, so as to integrate the water pressure drop value per unit length of the pipeline inside the water supply network of the water outlet. Then, according to the pressure drop change state inside the water supply network, the overall water pressure drop value inside the water supply network is determined. By comparing the water pressure drop value with the state of maintaining the preset water supply pressure of the water supply network, the pressure gap corresponding to the state of maintaining the preset water supply pressure of the water supply network is obtained, and the initial water supply strategy is corrected according to the pressure gap, such as correcting the initial water supply pressure of the water outlet corresponding to the initial water supply strategy, so as to ensure that the corrected water supply pressure of the water outlet compensates for the water pressure drop caused by the key node leakage.

[0045] Each water outlet is configured with a pump station. After the initial water supply strategy of the water outlet is corrected, the pump station of the water outlet needs to adaptively adjust the water pump cluster operation state in the pump station according to the corrected initial water supply strategy. Specifically, according to the corrected initial water supply strategy and the actual operation load of the water pump subordinate to the water pump cluster in the pump station of each water outlet, the operation load change value of the water pump subordinate to the water pump cluster in the pump station corresponding to each water outlet is determined, so as to change the operation state of each water pump in the pump station, realize accurate regulation and control of the water pressure, and effectively maintain the normal and stable water pressure inside the water supply network.

[0046] In another embodiment, the determination of whether there is a leakage point in the water supply network according to the pressure drop change state and the determination of whether to alarm include: monitoring the actual water pressure drop value corresponding to the pressure drop change state of the water supply network in real time; calling the standard water pressure drop value corresponding to the pressure drop change state of the water supply network; obtaining a water pressure influence factor using the actual water pressure drop value and the standard water pressure drop value of the water supply network; wherein the water pressure influence factor is obtained by the following formula: , wherein f represents the water pressure influence factor; n represents the number of times of collecting the pressure drop change state of the water supply network; Pi+1 and Pi represent the actual water pressure drop values corresponding to the i+1th and ith data collection, respectively; Pe represents the standard deviation of the pressure drop change state corresponding to the current n times of data collection; Pz represents the standard water pressure drop value corresponding to the pressure drop change state of the water supply network; Pmax represents the maximum value of the actual water pressure drop value of the pressure drop change state corresponding to the current n times of data collection; and Pb represents the average value of the actual water pressure drop value of the pressure drop change state corresponding to the current n times of data collection; comparing the water pressure influence factor with a preset factor threshold value; when the water pressure influence factor exceeds the preset factor threshold value, monitoring the actual water supply flow corresponding to each key point in the water supply network in real time; calling the rated water supply flow corresponding to the pipeline design corresponding to each key point in the water supply network; obtaining a water pressure abnormality judgment parameter using the actual water supply flow and the rated water supply flow corresponding to each key point in combination with the water pressure influence factor; wherein the water pressure abnormality judgment parameter is obtained by the following formula: , wherein Q represents the water pressure abnormality judgment parameter; f represents the water pressure influence factor; fy represents the preset factor threshold value; A represents a leakage influence correction coefficient, and the value range is 0.8-1.2; m represents the total number of key points; and Vi represents the actual water supply flow corresponding to the ith key point; and Vei represents the rated water supply flow corresponding to the ith key point; comparing the water pressure abnormality judgment parameter with a preset parameter threshold value; when the water pressure abnormality judgment parameter exceeds the preset parameter threshold value, determining that there is a leakage point in the current water supply network, and alarming.

[0047] The beneficial effects of the above embodiments are achieved by integrating the time series differences, statistical characteristics (standard deviation, maximum value, average value) of pressure drop changes with the relationship between standard pressure drop and the water pressure influence factor f. Combined with the quantitative analysis of the difference between actual and rated water supply flow by the water pressure anomaly judgment parameter Q, this achieves coupled judgment of multi-dimensional data of "pressure drop + flow," avoiding misjudgment based on a single indicator, significantly improving the accuracy of leak identification, and effectively reducing false alarms and missed alarms. The water pressure influence factor f incorporates the statistical characteristics of multiple data acquisitions, adapting to the dynamic fluctuations of water supply network pressure drop. The water pressure anomaly judgment parameter Q introduces a leakage influence correction coefficient A (with a clearly defined value range), which can be dynamically adjusted according to actual conditions such as pipeline aging and operating condition differences, enhancing adaptability to different network states and operating conditions. Simultaneously, it covers the two core leak characteristic dimensions of "pressure drop fluctuation" and "flow supply and demand difference," integrating the dual manifestations of "water pressure anomaly" and "flow anomaly" caused by leaks from a physical mechanism perspective, making the leak judgment logic more comprehensive and covering multiple causes and manifestations of leaks in the water supply network. Simultaneously, leak detection is transformed from experience-driven to a full-process data-driven model of "data collection - formula quantification - threshold comparison." Using mathematical formulas as a vehicle, it achieves quantitative correlation and logical derivation of physical quantities, upgrading leak detection from qualitative experience to quantitative scientific decision-making, thus enhancing the technical level of leak monitoring in water supply networks. The parameters in the formulas (such as the number of data collections n, the number of key points m, and the range of values ​​for the leakage impact correction coefficient A) have clear engineering significance and operability, facilitating the deployment of monitoring equipment, data collection, and calculation in actual pipeline networks. This directly guides leak alarm and maintenance decisions at the engineering end, improving the operation and maintenance efficiency and intelligence level of water supply networks.

[0048] In another embodiment, based on the pump station operation strategies at all water outlets and the actual water treatment status of the waterworks, the operating parameters of the pump station corresponding to each water outlet are changed; and the operating mode of the pump station is switched according to the actual load of the pump station corresponding to each water outlet, including: Obtain the real-time purified water output flow rate of the waterworks to determine the purified water distribution flow rate at each outlet; based on the purified water distribution flow rate and the pump station operation strategy at all outlets, adjust the booster target value parameters of each pump under the corresponding pump station at each outlet. Based on the actual load of each pump under the corresponding pumping station at each outlet, the pumps in the overload state are identified, and the overloaded pumps are switched to intermittent working mode.

[0049] The beneficial effects of the above embodiments are as follows: considering that the waterworks has multiple outlets, each requiring a different external water flow rate, and that the waterworks' water purification output is limited, in order to ensure that each outlet receives a corresponding flow rate of purified water, the real-time purified water output flow rate of the waterworks is first obtained to determine the purified water allocation flow rate for each outlet. Combined with the pump station operation strategies for all outlets, the boosting target value parameters of each pump under the corresponding pump station are adjusted. For example, the purified water flow rate allocated to a certain outlet is first determined, and the boosting target value parameters of the pumps corresponding to the outlet are adjusted based on the change in the operating load of the pumps under the pump cluster within the pump station (i.e., the target water pressure value that the pump needs to increase the input purified water to). This ensures that each pump accurately implements boosting under its own operating load capacity, and that the water supply network corresponding to each outlet can maintain the required water pressure. Furthermore, based on the actual load of each pump under the pumping station corresponding to each water outlet, the pumps in the overload state are identified and switched to intermittent working mode (i.e., the pumps work alternately for a period of time and then stop working for a period of time). This ensures the continuous operation of the pumping station as a whole while avoiding damage to individual pumps due to excessive load, effectively extending the working life of the pumping station.

[0050] Overall, this intelligent dispatching system and method for the waterworks determines the initial water supply strategy for each outlet based on the layout of the water supply network at all outlets of the waterworks; it identifies all key nodes in the water supply network layout based on real-time pipeline pressure data; it estimates the pressure drop changes within the water supply network based on the distribution characteristics of the key nodes and corrects the initial water supply strategy to determine the corresponding pump station operation strategy for each outlet; it changes the operating parameters of the pump stations corresponding to each outlet based on the pump station operation strategies of all outlets and the actual water treatment status of the waterworks; and it switches the operating mode of the pump stations based on the actual load of each outlet pump station. By monitoring the water supply network connected to the waterworks in real time and adaptively adjusting the water supply strategy and pump station operation strategy, dispatching operations are performed at both the water supply and transmission levels to ensure the normal and stable water supply of the water supply network.

[0051] The above is only one specific embodiment of the present invention, and any improvements made based on the concept of the present invention shall be considered within the scope of protection of the present invention.

Claims

1. A smart dispatching system for a waterworks, characterized in that, include: The water supply strategy determination module is used to obtain the water supply network layout of all water outlets of the waterworks and determine the initial water supply strategy for each water outlet based on the water supply network layout. The node calibration module is used to calibrate all key nodes of the water supply network layout based on real-time pipeline pressure data of the water supply network layout. The water supply strategy correction module is used to estimate the pressure drop change state inside the water supply network at the water outlet end based on the distribution characteristics of the key nodes, so as to correct the initial water supply strategy. The pump station operation determination module is used to determine the pump station operation strategy corresponding to each water outlet based on the corrected initial water supply strategy. The pump station operation change module is used to change the operating parameters of each pump station corresponding to each water outlet based on the pump station operation strategy of all water outlets and the actual water treatment status of the waterworks. The working mode switching module is used to switch the working mode of the pump station according to the actual load of the pump station corresponding to each water outlet.

2. The intelligent dispatching system for waterworks as described in claim 1, characterized in that: The water supply strategy determination module is used to obtain the water supply network layout of all water outlets of the waterworks, and determine the initial water supply strategy for each water outlet based on the water supply network layout, including: Obtain the water supply network layout map of each water outlet of the waterworks, wherein the water supply network layout map includes the topological connection relationship and pipe size of the main water supply pipe and its branch water supply pipes connected to each water outlet; Based on the water supply network layout map and the expected water supply pressure conditions of the water supply branch pipelines, the initial water supply strategy for each outlet is determined; wherein, the expected water supply pressure conditions refer to the water supply pressure along the entire line of the water supply branch pipeline; and the initial water supply strategy refers to the strategy for changing the initial water supply pressure of each outlet over time. The node calibration module is used to calibrate all key nodes of the water supply network layout based on real-time pipeline pressure data, including: Real-time dynamic pressure data of the main water supply pipeline and the branch water supply pipelines are obtained. The time and location information of abnormal pressure fluctuation events are extracted from the real-time dynamic pressure data to mark the key nodes of the main water supply pipeline and the branch water supply pipelines. The key node refers to the location where leakage occurs inside the pipeline.

3. The intelligent dispatching system for waterworks as described in claim 2, characterized in that: The water supply strategy correction module is used to estimate the pressure drop change state inside the water supply network at the outlet end based on the distribution characteristics of the key nodes, thereby correcting the initial water supply strategy, including: Based on the distribution location and leakage flow of key nodes along each pipeline in the water supply network layout, the pressure drop change state along each pipeline is estimated, thereby integrating the pressure drop change state within the water supply network at the outlet end; wherein, the pressure drop change state refers to the water pressure drop per unit length of pipeline; based on the pressure drop change state within the water supply network, the pressure gap corresponding to maintaining the preset water supply pressure state of the water supply network is determined, thereby correcting the initial water supply strategy; The pump station operation determination module is used to determine the pump station operation strategy corresponding to each outlet end based on the corrected initial water supply strategy, including: Based on the corrected initial water supply strategy and the operating status of the pump cluster within each outlet pumping station, the pumping station operation strategy corresponding to each outlet is determined; wherein, the operating status of the pump cluster refers to the actual operating load of the pumps under the pump cluster within the pumping station; and the pumping station operation strategy refers to the change value of the operating load of the pumps under the pump cluster within the pumping station.

4. The intelligent dispatching system for waterworks as described in claim 3, characterized in that: Determine if there is a leak in the water supply network based on the pressure drop changes, and decide whether to trigger an alarm, including: Real-time monitoring of the actual water pressure drop value corresponding to the pressure drop change status of the water supply network; Retrieve the standard water pressure drop value corresponding to the pressure drop change state of the water supply network; The water pressure influencing factor is obtained by using the actual water pressure drop value and the standard water pressure drop value of the water supply network. The water pressure influence factor is obtained by the following formula: ， Where f represents the water pressure influencing factor; n represents the number of times the pressure drop change state of the water supply network is collected; Pi+1 and Pi represent the actual water pressure drop value corresponding to the (i+1)th and ithth data collections, respectively; Pe represents the standard deviation of the pressure drop change state corresponding to the current n data collections; Pz represents the standard water pressure drop value corresponding to the pressure drop change state of the water supply network; Pmax represents the maximum actual water pressure drop value of the pressure drop change state corresponding to the current n data collections; and Pb represents the average actual water pressure drop value of the pressure drop change state corresponding to the current n data collections. The water pressure influence factor is compared with a preset factor threshold. When the water pressure influence factor exceeds the preset factor threshold, the actual water supply flow rate corresponding to each key point in the water supply network is monitored in real time. Retrieve the rated water supply flow rate corresponding to the pipeline design for each key point in the water supply network; The parameters for judging water pressure anomalies are obtained by combining the actual water supply flow and rated water supply flow corresponding to each key point with the water pressure influencing factor. The parameters for judging abnormal water pressure are obtained by the following formula: ， Where Q represents the water pressure anomaly judgment parameter; f represents the water pressure influence factor; fy represents the preset factor threshold; A represents the leakage influence correction coefficient, with a value range of 0.8-1.2; m represents the total number of key points; Vi represents the actual water supply flow corresponding to the i-th key point; and Vei represents the rated water supply flow corresponding to the i-th key point. The abnormal water pressure judgment parameters are compared with preset parameter thresholds; When the water pressure anomaly judgment parameter exceeds the preset parameter threshold, it is determined that there is a water supply network leak in the current water supply network, and an alarm is triggered.

5. The intelligent dispatching system for waterworks as described in claim 3, characterized in that: The pump station operation modification module is used to modify the operating parameters of each pump station corresponding to each water outlet based on the pump station operation strategies of all water outlets and the actual water treatment status of the waterworks, including: The real-time purified water output flow rate of the waterworks is obtained to determine the purified water distribution flow rate at each outlet. Based on the purified water distribution flow rate and the pump station operation strategy at all outlets, the boosting target value parameter of each pump under the corresponding pump station at each outlet is adjusted. The operating mode switching module is used to switch the operating mode of the pumping station according to the actual load of the pumping station corresponding to each water outlet, including: Based on the actual load of each pump under the corresponding pumping station at each outlet, the pumps in the overload state are identified, and the overloaded pumps are switched to intermittent working mode.

6. A smart scheduling method for waterworks, characterized in that, include: Obtain the water supply network layout of all water outlets of the waterworks, and determine the initial water supply strategy for each water outlet based on the water supply network layout. Based on the real-time pipeline pressure data of the water supply network layout, all key nodes of the water supply network layout are identified; Based on the distribution characteristics of the key nodes, the pressure drop change state inside the water supply network at the outlet is estimated, thereby correcting the initial water supply strategy. Based on the corrected initial water supply strategy, determine the pump station operation strategy corresponding to each water outlet. Based on the pump station operation strategies at all water outlets and the actual water treatment status of the waterworks, the operating parameters of the pump station corresponding to each water outlet are changed. The operating mode of the pump station is switched according to the actual load of the pump station corresponding to each water outlet.

7. The intelligent scheduling method for waterworks as described in claim 6, characterized in that: Obtain the water supply network layout of all water outlets of the waterworks, and determine the initial water supply strategy for each water outlet based on the water supply network layout. Based on the real-time pipeline pressure data of the water supply network layout, all key nodes of the water supply network layout are identified, including: Obtain the water supply network layout map of each water outlet of the waterworks, wherein the water supply network layout map includes the topological connection relationship and pipe size of the main water supply pipe and its branch water supply pipes connected to each water outlet; Based on the water supply network layout map and the expected water supply pressure conditions of the water supply branch pipelines, the initial water supply strategy for each outlet is determined; wherein, the expected water supply pressure conditions refer to the water supply pressure along the entire line of the water supply branch pipeline; and the initial water supply strategy refers to the strategy for changing the initial water supply pressure of each outlet over time. Real-time dynamic pressure data of the main water supply pipeline and the branch water supply pipelines are obtained. The time and location information of abnormal pressure fluctuation events are extracted from the real-time dynamic pressure data to mark the key nodes of the main water supply pipeline and the branch water supply pipelines. The key node refers to the location where leakage occurs inside the pipeline.

8. The intelligent scheduling method for waterworks as described in claim 6, characterized in that: Based on the distribution characteristics of the key nodes, the pressure drop change state inside the water supply network at the outlet is estimated, thereby correcting the initial water supply strategy. Based on the corrected initial water supply strategy, determine the pump station operation strategy corresponding to each outlet, including: Based on the distribution location and leakage flow of key nodes along each pipeline in the water supply network layout, the pressure drop change state along each pipeline is estimated, thereby integrating the pressure drop change state within the water supply network at the outlet end; wherein, the pressure drop change state refers to the water pressure drop per unit length of pipeline; based on the pressure drop change state within the water supply network, the pressure gap corresponding to maintaining the preset water supply pressure state of the water supply network is determined, thereby correcting the initial water supply strategy; Based on the corrected initial water supply strategy and the operating status of the pump cluster within each outlet pumping station, the pumping station operation strategy corresponding to each outlet is determined; wherein, the operating status of the pump cluster refers to the actual operating load of the pumps under the pump cluster within the pumping station; and the pumping station operation strategy refers to the change value of the operating load of the pumps under the pump cluster within the pumping station.

9. The intelligent scheduling method for waterworks as described in claim 8, characterized in that: Determine if there is a leak in the water supply network based on the pressure drop changes, and decide whether to trigger an alarm, including: Real-time monitoring of the actual water pressure drop value corresponding to the pressure drop change status of the water supply network; Retrieve the standard water pressure drop value corresponding to the pressure drop change state of the water supply network; The water pressure influencing factor is obtained by using the actual water pressure drop value and the standard water pressure drop value of the water supply network. The water pressure influence factor is obtained by the following formula: ， Where f represents the water pressure influencing factor; n represents the number of times the pressure drop change state of the water supply network is collected; Pi+1 and Pi represent the actual water pressure drop value corresponding to the (i+1)th and ithth data collections, respectively; Pe represents the standard deviation of the pressure drop change state corresponding to the current n data collections; Pz represents the standard water pressure drop value corresponding to the pressure drop change state of the water supply network; Pmax represents the maximum actual water pressure drop value of the pressure drop change state corresponding to the current n data collections; and Pb represents the average actual water pressure drop value of the pressure drop change state corresponding to the current n data collections. The water pressure influence factor is compared with a preset factor threshold. When the water pressure influence factor exceeds the preset factor threshold, the actual water supply flow rate corresponding to each key point in the water supply network is monitored in real time. Retrieve the rated water supply flow rate corresponding to the pipeline design for each key point in the water supply network; The parameters for judging water pressure anomalies are obtained by combining the actual water supply flow and rated water supply flow corresponding to each key point with the water pressure influencing factor. The parameters for judging abnormal water pressure are obtained by the following formula: ， Where Q represents the water pressure anomaly judgment parameter; f represents the water pressure influence factor; fy represents the preset factor threshold; A represents the leakage influence correction coefficient, with a value range of 0.8-1.2; m represents the total number of key points; Vi represents the actual water supply flow corresponding to the i-th key point; and Vei represents the rated water supply flow corresponding to the i-th key point. The abnormal water pressure judgment parameters are compared with preset parameter thresholds; When the water pressure anomaly judgment parameter exceeds the preset parameter threshold, it is determined that there is a water supply network leak in the current water supply network, and an alarm is triggered.

10. The intelligent scheduling method for waterworks as described in claim 8, characterized in that: Based on the pump station operation strategies at all water outlets and the actual water treatment status of the waterworks, the operating parameters of the pump station corresponding to each water outlet are changed. Based on the actual load of the pumping station corresponding to each water outlet, the operating mode of the pumping station is switched, including: The real-time purified water output flow rate of the waterworks is obtained to determine the purified water distribution flow rate at each outlet. Based on the purified water distribution flow rate and the pump station operation strategy at all outlets, the boosting target value parameter of each pump under the corresponding pump station at each outlet is adjusted. Based on the actual load of each pump under the corresponding pumping station at each outlet, the pumps in the overload state are identified, and the overloaded pumps are switched to intermittent working mode.

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