Regional water tank regulation and storage method and system

Abstract

The invention discloses a regional water tank regulation and storage method and system. The method comprises the steps of obtaining statistical data of a water tank based on collected basic data of the water tank; based on the basic data of the water tank and the statistical data of the water tank, sequentially obtaining an inlet flow velocity fitting result, a water consumption prediction result of a future date and a water tank peak period and water age calculation result; determining a pipe network peak period based on the collected pipe network pressurization point flow data of the area corresponding to the water tank; generating a regulation and storage calculation result according to an inlet flow velocity fitting result, a water consumption prediction result of a future date, a water tank peak period, a water age calculation result and a pipe network peak period; and controlling an electric control valve of the water tank to act based on the regulation and storage calculation result. By means of the scheme, the water inlet period and the liquid level threshold value of the water tank can be dynamically adjusted, pipe network flow fluctuation in the peak period is reduced, and the pressure standard deviation of the pressurization point is reduced. Meanwhile, it can be ensured that water storage or dynamic water replenishing of the water tank is completed before the peak period, and the water utilization gap rate is reduced.

Description

Technical Field

[0001] This application generally relates to the technical field of water tank water supply. More specifically, this application relates to a method and system for regional water tank regulation and storage. Background Art

[0002] With the continuous improvement of the urban water supply level, the stability and security of water supply have increasingly become the focus of attention of the government and the public. As the "last mile" of the urban water supply system, the stability and security of secondary water supply are crucial for the reliability of the entire water supply network. In many mid- to high-rise residential communities, residential water use is usually divided into a pressurized area and a direct supply area according to the floor height. The mid- to high-rise area, as the pressurized area, generally stores water in water tanks to ensure the continuity of water supply; while the low-rise area is directly supplied by the municipal water supply network.

[0003] During the process of storing water in water tanks to ensure water supply, these water tanks usually use float valves to control the water inlet, resulting in the water tank liquid level only being maintained at the height set by the float valve, and the storage capacity of the water tank not being fully utilized. During the peak water use period, the water tanks still need to intake a large amount of water to meet the user needs, which may cause pressure relief problems, resulting in insufficient pressure in the direct supply area and affecting the stability of water supply. At the same time, when the water tank water level remains high for a long time and the daily water consumption is relatively low, it may lead to the water staying in the water tank for too long, thereby causing problems such as reduced residual chlorine and yellowish water quality in the water used by users in the pressurized area, affecting the safety of residents' water use. In addition, in order to ensure sufficient pressure at the most unfavorable point, dispatchers may increase the outlet pressure of the water plant or the regional pressurized pumping station. However, such a lack of targeted measures will not only lead to a significant increase in energy consumption, but also may increase the risk of pipeline leakage and pipe bursting in the water supply network, thus affecting the safety and stability of residents' water use.

[0004] In view of this, there is an urgent need to provide a regional water tank regulation and storage solution to perform peak-shifting regulation and storage on regional water tanks to ensure the stability of water supply. At the same time, fully consider the mutual influence of multiple water tanks' water storage and the impact on the entire water supply network to minimize energy consumption as much as possible. Summary of the Invention

[0005] In order to solve at least one or more of the above-mentioned technical problems, this application proposes a regional water tank regulation and storage solution in multiple aspects.

[0006] In a first aspect, the present application provides a method for regulating and storing water in a regional water tank, including: obtaining statistical data of the water tank based on the collected basic data of the water tank, where the statistical data of the water tank includes the import flow difference within multiple preset time intervals corresponding to multiple dates respectively, and the export flow within multiple preset time intervals corresponding to multiple dates respectively; sequentially obtaining the import flow velocity fitting result, the water consumption prediction result for a future date, the water tank peak period and the water age calculation result based on the basic data of the water tank and the statistical data of the water tank; determining the peak period of the water supply network based on the flow data of the network pressure boosting point in the area corresponding to the water tank; generating a regulation and storage calculation result based on the import flow velocity fitting result, the water consumption prediction result for a future date, the water tank peak period, the water age calculation result and the peak period of the water supply network; and controlling the electric control valve of the water tank to act based on the regulation and storage calculation result.

[0007] In some embodiments, the aforementioned basic data of the water tank includes: real-time import cumulative flow data, real-time import instantaneous flow data, real-time import pressure data, real-time water tank liquid level data, set high water level of the water tank and set low water level of the water tank.

[0008] In some embodiments, in the process of obtaining the statistical data of the water tank based on the collected basic data of the water tank, the following steps are performed: statistically calculating the import flow difference within multiple preset time intervals corresponding to multiple dates respectively according to the real-time import cumulative flow data, where the calculation formula for the import flow difference within the preset time interval is: E Δt =E t -E t-Δt , E Δt is the import flow difference within the preset time interval, E t is the cumulative import flow data at the current moment, and E t-Δt represents the cumulative import flow data at the previous moment; calculating the export flow within multiple preset time intervals corresponding to multiple dates respectively according to the real-time water tank liquid level data and the real-time import cumulative flow data, where the calculation formula for the export flow within the preset time interval is: E Δt出 =E Δt +(L t-Δt -L t )×S, E Δt出 is the export flow within the preset time interval, L t is the water tank liquid level data at the current moment, L t-Δt represents the water tank liquid level data at the previous moment, and S is the bottom area of the water tank.

[0009] In some embodiments, in the process of successively obtaining the fitting result of the inlet flow rate, the predicted result of the water consumption for a future date, the peak period of the water tank, and the calculation result of the water age based on the basic data of the water tank and the statistical data of the water tank, the following steps are executed: preprocess the real-time inlet instantaneous flow rate data and the real-time inlet pressure data, and perform data fitting on the preprocessed real-time inlet instantaneous flow rate data and real-time inlet pressure data to obtain the fitting curve of the inlet flow rate; preprocess the outlet flow rates within multiple preset time intervals corresponding to multiple dates respectively, and obtain the predicted result of the water consumption for a future date based on the outlet flow rates within multiple preset time intervals corresponding to multiple dates respectively and the influencing factor data corresponding thereto; identify and process abnormal data in the outlet flow rates within multiple preset time intervals corresponding to multiple dates respectively, and obtain the peak period of the water tank based on the outlet flow rates within multiple preset time intervals corresponding to multiple dates respectively and the identified abnormal data; obtain the initial water age according to the set high water level of the water tank and the set low water level of the water tank, where the calculation formula for the initial water age is: T initial is the initial water age, L low is the set low water level of the water tank, L high is the set high water level of the water tank, V=(L high -L low )×S, S is the bottom area of the water tank, L is the current water level of the water tank, q is the average water consumption, t 液变 is the time taken for the water in the water tank to drop from the set high water level to the set low water level.

[0010] In some embodiments, in the process of obtaining the peak period of the water tank based on the outlet flow rates within multiple preset time intervals corresponding to multiple dates respectively and the identified abnormal data, the following steps are executed: obtain the water consumption within each preset time interval corresponding to each date based on the outlet flow rates within multiple preset time intervals corresponding to each date respectively, and sort the water consumption within each preset time interval corresponding to each date in chronological order to form the water consumption data set corresponding to each date; obtain the water consumption corresponding to each date based on the water consumption data set corresponding to each date; calculate the corresponding water consumption ratio for each piece of data in the time series data set corresponding to each date one by one, and obtain the peak period corresponding to each date based on the calculation results of the water consumption ratios corresponding to each piece of data in the time series data set; perform elimination processing on the dates with peak periods and abnormal data; take the intersection of all peak periods in the remaining dates with peak periods after the elimination processing as the peak period of the water tank.

[0011] In some embodiments, in the process of obtaining the peak period corresponding to each date based on the calculation results of the water consumption ratios corresponding to the data in the time series dataset, the following steps are performed: Determine whether there is data in the time series dataset whose corresponding water consumption ratio is greater than or equal to a set threshold; In response to there being no data in the time series dataset whose corresponding water consumption ratio is greater than or equal to the set threshold, determine that there is no peak period for the date corresponding to the time series dataset; In response to there being data in the time series dataset whose corresponding water consumption ratio is greater than or equal to the set threshold, determine whether there is data in the time series dataset whose corresponding water consumption ratio of continuously adjacent data is greater than or equal to the set threshold; In response to there being data in the time series dataset whose corresponding water consumption ratio of continuously adjacent data is greater than or equal to the set threshold, sort each piece of data in the corresponding continuously adjacent data in chronological order to form a water consumption subset, and use the initial time corresponding to the water consumption subset as the start time of the peak period of the corresponding water tank, and use the end time corresponding to the water consumption subset as the end time of the peak period of the corresponding water tank; In response to there being no data in the time series dataset whose corresponding water consumption ratio of continuously adjacent data is greater than or equal to the set threshold, use the initial time of each piece of data whose corresponding water consumption ratio is greater than or equal to the set threshold as the start time of the peak period of the corresponding water tank, and use the end time of each piece of data whose corresponding water consumption ratio is greater than or equal to the set threshold as the end time of the peak period of the corresponding water tank; Use the time period between the start time of the peak period of the corresponding water tank and the end time of the peak period of the corresponding water tank as the peak period corresponding to the corresponding date.

[0012] In some embodiments, the calculation formula for the current water age is:

[0013] T n is the water age at the current moment n, V' is the water volume in the water tank at the current moment n, V 进 is the water inflow volume within the time interval Δt, V 进 = F t ×Δt, F t is the water inflow rate within the time interval Δt, T 进 refers to the water age of the inflow water, Δt is the preset time interval, T n-1 is the water age at the previous moment n - 1.

[0014] In some embodiments, in the process of generating the storage calculation result based on the fitting result of the inlet flow rate, the predicted water consumption result for a future date, the peak period of the water tank, the water age calculation result, and the peak period of the pipe network, the following steps are performed: obtaining the predicted outlet water volume of the water tank in the current area during the peak period of the pipe network according to the peak period of the pipe network and the predicted water consumption result for a future date; determining whether the effective volume of the water tank is greater than or equal to the predicted outlet water volume of the water tank during the peak period of the pipe network; in response to the effective volume of the water tank being greater than or equal to the predicted outlet water volume of the water tank during the peak period of the pipe network, calculating the earliest water inlet end time point and the latest water inlet end time point at which the water in the water tank is used up at the end of the peak period of the water tank based on the predicted outlet water volume of the water tank during the peak period of the pipe network and the fitting result of the inlet flow rate; in response to the effective volume of the water tank being less than the predicted outlet water volume of the water tank during the peak period of the pipe network, calculating the latest water inlet end time point at which the water tank is filled to full at the start time of the peak period of the water tank based on the fitting result of the inlet flow rate, and advancing the latest water inlet end time point by a preset duration as the earliest water inlet time point; selecting the optimal water inlet end time point from the latest water inlet end time point and the earliest water inlet time point based on the optimization objective, and determining the corresponding water inlet end liquid level.

[0015] In some embodiments, the optimization objective includes at least one of pipe network pressure balance, water age minimization, and minimum electricity cost.

[0016] In a second aspect, the present application provides a set of regional water tank storage systems that perform regional water tank storage using the regional water tank storage method described in any one of the embodiments of the first aspect. The system includes: a data acquisition module for acquiring the basic data of the water tank; a data statistics module for obtaining the statistical data of the water tank based on the acquired basic data of the water tank, where the statistical data of the water tank includes the inlet flow difference within a plurality of preset time intervals corresponding to a plurality of dates respectively, and the outlet flow within a plurality of preset time intervals corresponding to a plurality of dates respectively; a data calculation module for sequentially obtaining the fitting result of the inlet flow rate, the predicted water consumption result for a future date, the peak period of the water tank, and the water age calculation result based on the basic data of the water tank and the statistical data of the water tank; a water tank storage module for determining the peak period of the pipe network based on the flow data of the pipe network pressurization point corresponding to the acquired water tank, and generating a storage calculation result based on the fitting result of the inlet flow rate, the predicted water consumption result for a future date, the peak period of the water tank, the water age calculation result, and the peak period of the pipe network; a water tank control module for controlling the electric control valve of the water tank to act based on the storage calculation result.

[0017] Through the regional water tank regulation scheme provided above, in the embodiments of the present application, by generating regulation calculation results based on the fitting results of the inlet flow rate, the predicted water consumption results for future dates, the peak periods of the water tank, the water age calculation results, and the peak periods of the pipe network, it is possible to dynamically adjust the water inlet time period and the liquid level threshold of the water tank, reduce the flow rate fluctuations in the pipe network during peak periods, lower the standard deviation of the pressure at the pressurization point, and effectively avoid local overpressure or underpressure phenomena. At the same time, it can ensure that the water tank completes water storage or dynamic water replenishment before the peak period, reducing the water shortage rate. In addition, it can generate a regulation strategy that takes into account energy consumption, water quality, and stability, achieving a reduction in the comprehensive cost of a single scheduling. Further, in some embodiments, by taking the pressure balance of the pipe network, minimizing the water age, or minimizing the electricity cost as the optimization objective of the water tank regulation, it is possible to provide corresponding water tank regulation strategies according to the business needs of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features, and advantages of the exemplary embodiments of the present application will become readily understood. In the drawings, several embodiments of the present application are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0019] Figure 1 Shows an exemplary flowchart of the regional water tank regulation method according to an embodiment of the present application;

[0020] Figure 2 Shows a schematic diagram of the composition of a water supply system according to an embodiment of the present application;

[0021] Figure 3 Shows an exemplary flowchart of obtaining the fitting results of the inlet flow rate, the predicted water consumption results for future dates, the peak periods of the water tank, and the water age calculation results according to an embodiment of the present application;

[0022] Figure 4 Shows an exemplary flowchart of obtaining the peak period of the water tank according to an embodiment of the present application;

[0023] Figure 5 Shows an exemplary flowchart of obtaining the peak period corresponding to each date based on the calculation results of the water consumption ratio corresponding to each piece of data in the time series dataset according to an embodiment of the present application;

[0024] Figure 6 Shows an exemplary flowchart of generating regulation calculation results based on the fitting results of the inlet flow rate, the predicted water consumption results for future dates, the peak periods of the water tank, the water age calculation results, and the peak periods of the pipe network according to an embodiment of the present application;

[0025] Figure 7 Shows an exemplary structural block diagram of the regional water tank regulation system according to an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present application.

[0027] It should be understood that the terms "including" and "comprising" used in the specification and claims of the present application indicate the presence of the described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their combinations.

[0028] It should also be understood that the terms used in the specification of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. As used in the specification and claims of the present application, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include the plural forms. It should also be further understood that the term "and / or" used in the specification and claims of the present application refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0029] In the prior art, the solutions for water tank regulation are mainly divided into three types: The first is to estimate the peak time according to the water usage pattern of each water tank by manual means, and directly set the water inlet time of the water tank to ensure that the water tank continuously intakes water within a fixed time period until it reaches the highest liquid level. The second is to transform the water tank structure to make its capacity large enough, and also predict the peak period according to the water usage pattern, intake water before the peak period, and at the same time adjust the water outlet structure of the water tank to achieve the instantaneous flow rate change of the water outlet at different water demand levels, so as to relieve the water shortage during the peak period and the problem of easy damage of the water pipes. The third is to judge the peak period according to the water usage pattern, and set fixed high and low liquid levels of the water tank, and intake water before the peak period. Intake water again when the water usage is insufficient during the peak period or after the peak period to reduce the water intake during the peak period and relieve the pressure on the municipal pipe network. In addition, combined with the control of the valve opening, the valve is fully opened during the non-peak period. If water still needs to be intaken during the peak period, the valve opening is adjusted according to the water intake to ensure the balance between the water intake and the water outlet during the peak period, and avoid overusing the resources of the municipal pipe network. At the same time, a water quality monitoring system is introduced to disinfect the water tank when the water quality is poor.

[0030] However, the first solution for water tank regulation based on the fixed-time water inlet method does not consider the prediction of future water volume, and the water inlet situation is easily affected by factors such as weather and holidays. Therefore, relying solely on the fixed-time water inlet may lead to poor regulation effects. In fact, the key factor affecting the pressure of the municipal pipe network is the peak period of the pipe network itself, rather than the peak period of the water tank. The second solution for water tank regulation focuses on the reconstruction of the water tank, which is difficult to achieve based on the existing water tank. This not only increases the cost but also may significantly extend the time when residents' water use is affected during the reconstruction period. The third solution for water tank regulation is to inlet water according to fixed high and low water levels before the peak period and stop when the highest water level is reached. During or after the peak period, if the water use is insufficient, water inlet is carried out again. This water inlet logic is limited to a single water tank and does not comprehensively consider the synergistic effect of multiple water tanks. Regulating only according to the water use law of a single water tank may cause multiple water tanks to inlet water simultaneously, resulting in an excessive instantaneous flow rate in the pipe network, thus triggering the peak period in advance and forming a new pressure peak. At the same time, this solution fails to provide corresponding scheduling strategies according to different business requirements of users and is limited to adjusting the water inlet strategy of a single water tank. It does not solve the problem from the perspective of ensuring the pressure at the most unfavorable point of the pipe network, so it cannot effectively alleviate the problems such as a sharp increase in energy consumption caused by the increase in the outlet pressure of the plant station, as well as pipe network leakage and pipe burst.

[0031] In view of this, the embodiments of the present application provide a regional water tank regulation scheme, which calculates the peak water consumption according to the water use law of the pipe network in the area to solve the problem of insufficient water supply pressure in the direct supply area caused by the water inlet during the peak period of the water tank. At the same time, instead of using a fixed high water level, the peak period of the water tank is predicted according to the actual water use situation of the water tank to ensure that the water inlet volume of the water tank remains within a reasonable range, avoiding excessive water inlet resulting in too high water age and water quality deterioration. Again, the information of water tanks in each area is collected, and combined with real-time and historical data, as well as the water age of the water tank and the instantaneous flow rate of the pipe network, intelligent scheduling is carried out for the water tanks in each area to avoid the problem of artificial peak period caused by scheduling only according to the data characteristics of a single water tank. In addition, corresponding scheduling strategies are provided according to the business requirements of users such as the optimal pipe network pressure, the optimal water age, and the optimal cost.

[0032] Figure 1 The exemplary flowchart of the regional water tank regulation method 100 according to the embodiments of the present application is shown.

[0033] As Figure 1 shown, in step S110, the statistical data of the water tank is obtained based on the collected basic data of the water tank, where the statistical data of the water tank includes the import flow difference within multiple preset time intervals corresponding to multiple dates and the export flow within multiple preset time intervals corresponding to multiple dates.

[0034] In the embodiments of the present application, the water tank is arranged in the water supply system, and the specific composition of the water supply system can be referred toFigure 2 。

[0035] Figure 2 Shows a schematic diagram of the composition of the water supply system according to an embodiment of the present application.

[0036] As Figure 2 shown, the water supply system 200 includes a municipal pipe network 210, a water tank 220, and a water supply area 230. The municipal pipe network 210 supplies water to the pressurized area of the water supply area 230 through the water tank 220 by using a first water supply device 250, a second water supply device 260, and a third water supply device 270 to cope with peak water use or pressure fluctuation water supply, and the municipal pipe network 210 directly supplies water to the direct supply area of the water supply area 230. Specifically, an inlet pressure gauge 221, an inlet flow meter 222, and an electric control valve 223 are sequentially arranged at the front end of the water inlet of the water tank 220. The inlet pressure gauge is used to collect the inlet pressure data of the water tank 220 to avoid abnormal water supply due to insufficient pressure. The inlet flow meter 222 is used to monitor the real-time cumulative inlet flow data and the real-time instantaneous inlet flow data of the water tank 220. The electric control valve 223 is used to directly control the rate of water flow into the water tank 220. A float valve 224 and a liquid level gauge 225 are arranged inside the water tank 220. The float valve 224 is used as a redundant control device to forcibly close the water inlet when the liquid level exceeds the upper limit to prevent overflow accidents. The liquid level gauge 225 detects the water level information of the water tank 220.

[0037] Specifically, the first water supply device 250, the second water supply device 260, and the third water supply device 270 may be the same device or different devices, and the present application does not limit this. For example, the first water supply device 250, the second water supply device 260, and the third water supply device 270 are all pressurizing pumps.

[0038] In the embodiment of the present application, the basic data of the water tank includes: real-time cumulative inlet flow data, real-time instantaneous inlet flow data, real-time inlet pressure data, real-time water tank liquid level data, set high water tank level, and set low water tank level.

[0039] In the embodiment of the present application, in the process of obtaining the statistical data of the water tank based on the collected basic data of the water tank, the inlet flow differences corresponding to multiple preset time intervals on multiple dates are statistically calculated according to the real-time cumulative inlet flow data, where the calculation formula for the inlet flow difference within the preset time interval is: E Δt =E t -E t-Δt , E Δt is the inlet flow difference within the preset time interval, E t is the cumulative inlet flow data at the current moment, E t-ΔtRepresents the cumulative import flow data at the previous moment. At the same time, according to the real-time water tank liquid level data and the real-time cumulative import flow data, the outlet flow rates corresponding to multiple preset time intervals for multiple dates are calculated. Among them, the calculation formula for the outlet flow rate within the preset time interval is: E Δt出 = E Δt +(L t-Δt - L t )×S, where E Δt出 is the outlet flow rate within the preset time interval, L t is the water tank liquid level data at the current moment, L t-Δt represents the water tank liquid level data at the previous moment, and S is the bottom area of the water tank.

[0040] Obtaining the import flow rate differences corresponding to multiple preset time intervals for multiple dates can provide a basis for subsequently obtaining the water inflow of the water tank, and obtaining the outlet flow rates corresponding to multiple preset time intervals for multiple dates can provide a basis for subsequently obtaining the water outflow of the water tank.

[0041] In the embodiments of the present application, the aforementioned time interval can be set according to actual needs and historical experience, and the present application does not limit this here.

[0042] After performing step S110, in step S120, based on the basic data of the water tank and the statistical data of the water tank, the import flow rate fitting result, the water consumption prediction result for future dates, the water tank peak period and the water age calculation result are obtained in sequence.

[0043] In the embodiments of the present application, the specific steps involved in step S120 can be referred to Figure 3 .

[0044] Figure 3 Shows an exemplary flowchart of obtaining the import flow rate fitting result, the water consumption prediction result for future dates, the water tank peak period and the water age calculation result in the embodiments of the present application.

[0045] As Figure 3As shown, in step S310, the real-time import instantaneous flow rate data and the real-time import pressure data are preprocessed, and the preprocessed real-time import instantaneous flow rate data and real-time import pressure data are curve-fitted to obtain an import flow velocity fitting curve. In step S320, the outlet flow rates within multiple preset time intervals corresponding to multiple dates are preprocessed, and a water consumption prediction result for a future date is obtained based on the preprocessed outlet flow rates within multiple preset time intervals corresponding to multiple dates and the influencing factor data corresponding thereto. In step S330, the abnormal data in the outlet flow rates within multiple preset time intervals corresponding to multiple dates are identified and processed, and a water tank peak period is obtained based on the outlet flow rates within multiple preset time intervals corresponding to multiple dates and the identified abnormal data. In step S340, an initial water age is obtained according to the set high water level of the water tank and the set low water level of the water tank. In step S350, the current water age is obtained according to the real-time water tank level data and the real-time import cumulative flow rate data.

[0046] In an embodiment of the present application, during the preprocessing of the real-time import instantaneous flow rate data and the real-time import pressure data, the abnormal data in the real-time import instantaneous flow rate data and the real-time import pressure data are removed to eliminate the influence of the abnormal data on the subsequent fitting result and enhance the accuracy of obtaining the fitting result.

[0047] In an embodiment of the present application, during the curve-fitting of the preprocessed real-time import instantaneous flow rate data and real-time import pressure data, the least squares method is used for polynomial fitting, and the highest power is changed for cyclic fitting until the fitting loss obtained is the smallest. At this time, this highest power is used to fit the real-time import instantaneous flow rate data and the real-time import pressure data to obtain a curve, which is denoted as where f(t) is the fitting curve, n is the highest power, and a i is the i-th parameter obtained based on the real-time import instantaneous flow rate data and the real-time import pressure data.

[0048] In an embodiment of the present application, during the preprocessing of the outlet flow rates within multiple preset time intervals corresponding to multiple dates, the missing data are supplemented, and the extreme data and noise data are eliminated, thereby avoiding the influence of the extreme data and noise data on the subsequent obtaining of the water consumption prediction result for a future date, improving the data integrity and continuity, and avoiding prediction result deviation caused by data missing during the subsequent obtaining of the water consumption prediction result for a future date.

[0049] In an embodiment of the present application, the aforementioned influencing factor data includes weather factor data and date factor data. Among them, the weather factor data includes temperature, humidity, and precipitation data, and the date factor data includes judgment data on whether it is a working day, whether it is a rest day, and whether it is a major holiday. Since weather factor data such as temperature, humidity, and precipitation directly affect water usage behaviors (such as high temperature increasing the water demand of residents and precipitation reducing the irrigation water demand), and date factor data such as working days, rest days, and holidays reflect the patterns of social activities (such as a sharp increase in water consumption during holidays and concentrated water usage periods on working days), obtaining the water consumption prediction results for future dates by combining the aforementioned influencing factor data with the outlet flow rates within multiple preset time intervals corresponding to multiple preprocessed dates can improve the accuracy and practicality of water consumption prediction through multi-dimensional modeling and a dynamic adaptation mechanism, providing a scientific basis for the refinement and intelligentization of water service management.

[0050] In an embodiment of the present application, in the process of obtaining the water consumption prediction results for future dates based on the outlet flow rates within multiple preset time intervals corresponding to multiple preprocessed dates and the corresponding influencing factor data, the outlet flow rates within multiple preset time intervals corresponding to multiple preprocessed dates and the corresponding influencing factor data are used together as the input of a neural network for training, and then the water consumption prediction results for future dates are obtained according to the training results of the neural network.

[0051] In an embodiment of the present application, the specific process involving the peak period of the water tank based on the outlet flow rates within multiple preset time intervals corresponding to multiple dates and the identified abnormal data can be referred to Figure 4 .

[0052] Figure 4 Shows an exemplary flowchart for obtaining the peak period of the water tank in an embodiment of the present application.

[0053] As Figure 4As shown, in step S410, the water consumption for each preset time interval corresponding to each date is obtained based on the outlet flow rates within multiple preset time intervals corresponding to each date respectively, and the water consumption for each preset time interval corresponding to each date is sorted in chronological order to form a water consumption data set corresponding to each date. In step S420, the water consumption corresponding to each date is obtained based on the water consumption data set corresponding to each date. In step S430, for each piece of data in the time series data set corresponding to each date, the corresponding water consumption ratio is calculated item by item, and the peak period corresponding to each date is obtained based on the calculation results of the water consumption ratios corresponding to each piece of data in the time series data set. In step S440, the dates with peak periods and abnormal data are excluded. In step S450, the intersection of all peak periods in the remaining dates with peak periods after the exclusion process is taken as the water tank peak period.

[0054] In an embodiment of the present application, in the process of obtaining the water consumption for each preset time interval corresponding to each date based on the outlet flow rates within multiple preset time intervals corresponding to each date respectively, the outlet flow rates within multiple preset time intervals corresponding to each date are multiplied by their corresponding preset time intervals, thereby obtaining the water consumption for each preset time interval corresponding to each date.

[0055] In an embodiment of the present application, in the process of obtaining the water consumption corresponding to each date based on the water consumption data set corresponding to each date, the total water consumption in the water consumption data set is added up to obtain the water consumption corresponding to each date.

[0056] In an embodiment of the present application, the specific process involved in obtaining the peak period corresponding to each date based on the calculation results of the water consumption ratios corresponding to each piece of data in the time series data set can be referred to Figure 5 .

[0057] Figure 5 The exemplary flowchart shows the process of obtaining the peak period corresponding to each date based on the calculation results of the water consumption ratios corresponding to each piece of data in the time series data set in an embodiment of the present application.

[0058] As Figure 5As shown, in step S510, it is determined whether there is data in the time series dataset whose corresponding water consumption ratio is greater than or equal to the set threshold. In response to the absence of data in the time series dataset whose corresponding water consumption ratio is greater than or equal to the set threshold, in step S520, it is determined that there is no peak period for the date corresponding to the time series dataset. In response to the presence of data in the time series dataset whose corresponding water consumption ratio is greater than or equal to the set threshold, in step S530, it is determined whether there is data in the time series dataset whose corresponding water consumption ratio of continuously adjacent data is greater than or equal to the set threshold. In response to the presence of data in the time series dataset whose corresponding water consumption ratio of continuously adjacent data is greater than or equal to the set threshold, in step S540, each piece of data in the corresponding continuously adjacent data is sorted in chronological order to form a water consumption subset, and the start time corresponding to the water consumption subset is used as the start time of the peak period of the corresponding water tank, and the end time corresponding to the water consumption subset is used as the end time of the peak period of the corresponding water tank. In response to the absence of data in the time series dataset whose corresponding water consumption ratio of continuously adjacent data is greater than or equal to the set threshold, in step S550, the start time of each piece of data whose corresponding water consumption ratio is greater than or equal to the set threshold is used as the start time of the peak period of the corresponding water tank, and the end time of each piece of data whose corresponding water consumption ratio is greater than or equal to the set threshold is used as the end time of the peak period of the corresponding water tank. Then, in step S560, the time period between the start time of the peak period of the corresponding water tank and the end time of the peak period of the corresponding water tank is used as the peak period corresponding to the corresponding date.

[0059] In an embodiment of the present application, the foregoing set threshold is obtained by analyzing the characteristics of the historically collected water consumption ratio data, and the specific value is not limited herein.

[0060] In an embodiment of the present application, through the foregoing specific process of obtaining the peak period corresponding to each date, the peak period corresponding to each date may be 0, single, or multiple. And the time period corresponding to each peak period may be the sum of multiple preset time intervals or a single preset time interval.

[0061] The specific process of obtaining the peak period corresponding to each date through the foregoing can accurately identify the peak period and provide a good data basis for obtaining the peak period of the water tank subsequently.

[0062] In an embodiment of the present application, by performing elimination processing on the dates with peak periods and abnormal data, the interference of low-quality data on the calculation of the peak period can be avoided, ensuring that the final result is based on the normal water use pattern. By taking the intersection of all peak periods in the remaining dates with peak periods after the elimination processing as the peak period of the water tank, occasional peaks can be filtered, and only the long-term stable water use pattern can be retained, enhancing the stability of the obtained peak period of the water tank.

[0063] In the embodiments of the present application, the calculation formula for the initial water age is as follows: T 初始 is the initial water age, L low is the set low water level of the water tank, L high is the set high water level of the water tank, V = (L high - L low ) × S, where S is the bottom area of the water tank, L is the current water level of the water tank, q is the average water consumption, t 液变 is the time taken for the water in the water tank to drop from the set high water level to the set low water level.

[0064] In the embodiments of the present application, the calculation formula for the current water age is as follows:

[0065] T n is the water age at the current moment n, V' is the water volume in the water tank at the current moment n, V 进 is the water inflow volume within the time interval Δt, V 进 = F t × Δt, where F t is the water inflow rate within the time interval Δt, T 进 refers to the water age of the inflow water, Δt is the preset time interval, T n-1 is the water age at the previous moment n - 1.

[0066] In the embodiments of the present application, the initial water age and the current water age are used as the water age calculation results. Since the initial water age reflects the residence time of the water body before entering the water tank, and the current water age represents the actual residence time of the water body in the water tank, the combination of the two can accurately evaluate the risk of water quality deterioration (such as the generation of disinfection by-products, the growth of microorganisms, etc.). Therefore, in the subsequent process of generating the regulation calculation results, the initial water age and the current water age can be comprehensively considered according to the actual needs of the user to shorten the overall water age and ensure the safety of water supply.

[0067] After performing step S120, in step S130, the peak period of the water supply network is determined based on the flow data of the pressurization point in the area corresponding to the water tank collected.

[0068] In an embodiment of the present application, during the process of determining the peak period of the pipe network based on the flow data of the pipe network pressure boosting points in the area corresponding to the water tank collected, abnormal data identification processing is performed on the outlet flow of the pipe network pressure boosting points within multiple preset time intervals corresponding to multiple dates, and the peak period of the pipe network is obtained based on the outlet flow of the pipe network pressure boosting points within multiple preset time intervals corresponding to multiple dates and the identified abnormal data. Specifically, the specific process of obtaining the peak period of the pipe network based on the outlet flow of the pipe network pressure boosting points within multiple preset time intervals corresponding to multiple dates and the identified abnormal data is the same as the specific process involved in obtaining the peak period of the water tank based on the outlet flow within multiple preset time intervals corresponding to multiple dates and the identified abnormal data, and the present application will not elaborate herein.

[0069] By determining the peak period of the pipe network, it is possible to ensure that the water tank completes water storage or dynamic water replenishment before the peak period during the subsequent generation of the regulation calculation result, reduce the water shortage rate, and solve the problem of insufficient water supply pressure in the direct supply area caused by the water inlet during the peak period of the water tank.

[0070] After step S130 is executed, in step S140, a regulation calculation result is generated based on the import flow velocity fitting result, the water consumption prediction result for a future date, the peak period of the water tank, the water age calculation result, and the peak period of the pipe network.

[0071] In an embodiment of the present application, the specific steps involved in step S140 can be referred to Figure 6 .

[0072] As Figure 6 shown, in step S610, the expected outlet water volume of the water tank in the current area during the peak period of the pipe network is obtained based on the peak period of the pipe network and the water consumption prediction result for a future date. In step S620, it is judged whether the effective volume of the water tank is greater than or equal to the expected outlet water volume of the water tank during the peak period of the pipe network. In response to the effective volume of the water tank being greater than or equal to the expected outlet water volume of the water tank during the peak period of the pipe network, in step S630, based on the expected outlet water volume of the water tank during the peak period of the pipe network and the import flow velocity fitting result, the earliest water inlet end time point and the latest water inlet end time point when the water in the water tank is used up at the end of the peak period of the water tank are calculated. In response to the effective volume of the water tank being less than the expected outlet water volume of the water tank during the peak period of the pipe network, in step S640, the latest water inlet end time point when the water tank is filled to full at the start time of the peak period of the water tank is calculated based on the import flow velocity fitting result, and the earliest water inlet time point is obtained by moving the latest water inlet end time point forward by a preset time period. Then, in step S650, the optimal water inlet end time point is selected from the latest water inlet end time point and the earliest water inlet time point based on the optimization objective, and the corresponding water inlet end liquid level is determined.

[0073] In an embodiment of the present application, in the process of obtaining the predicted outlet water volume of the water tank in the current area during the peak period of the pipe network based on the water consumption prediction results of the peak period of the pipe network and future dates, the intersection of the peak period of the pipe network and future dates is obtained to get the peak period of the pipe network in future dates. Then, the water consumption prediction result of the peak period of the pipe network in future dates is used as the predicted outlet water volume of the water tank in the current area during the peak period of the pipe network.

[0074] In an embodiment of the present application, the effective volume of the water tank is obtained by multiplying the bottom area of the water tank by the effective water level height of the water tank. In some embodiments of the present application, the effective water level height of the water tank is the distance between the set high water level of the water tank and the set low water level of the water tank. In other embodiments of the present application, the effective water level height of the water tank can also be obtained by other means, and the present application does not limit this here.

[0075] In an embodiment of the present application, when the effective volume of the water tank is greater than or equal to the predicted outlet water volume of the water tank during the peak period of the pipe network, then the water tank does not need to be filled with water during the peak period of the pipe network. It only needs to store water outside the peak period of the pipe network and release a large amount of stored water during the peak period of the water tank. By calculating the earliest water inlet end time point and the latest water inlet end time point when the water in the water tank is used up at the end of the peak period of the water tank, the water inlet volume of the water tank can be ensured to be within a reasonable range according to the actual water use situation of the water tank, avoiding the problems of too high water age and water quality deterioration caused by excessive water inlet.

[0076] In an embodiment of the present application, when the effective volume of the water tank is less than the predicted outlet water volume of the water tank during the peak period of the pipe network, then the water tank still needs to be filled with water during the peak period of the pipe network. At this time, it is expected that the water inlet time of the water tank is as close as possible to the start time of the peak period of the water tank. According to the fitting result of the inlet flow rate and the predicted outlet water volume of the water tank during the peak period of the pipe network, it is inversely deduced when to fill the water to exactly meet the requirement of filling the whole tank of water at the start of the peak period of the water tank, avoiding the problem that multiple water tanks in the area fill water at the same time and the pipe network pressure is too high.

[0077] In an embodiment of the application, the foregoing optimization objectives include at least one of pipe network pressure balance, minimum water age, and minimum electricity cost. If the optimal pipe network pressure is selected, it is necessary to comprehensively consider the pipe network flow rate at the water inlet time of the water tank to make the flow rate as uniform as possible at each moment. If the optimal water age in the community is selected, it is necessary to comprehensively consider the water age situation. If the optimal cost is selected, it is necessary to consider the electricity price time period and make the water tank fill water at the valley price of electricity as much as possible. Thus, a corresponding water tank regulation strategy can be provided according to the business needs of users.

[0078] After step S140 is executed, in step S150, the electric control valve of the water tank is controlled to act based on the regulation calculation result.

[0079] In an embodiment of the present application, during the process of controlling the electric control valve of the water tank based on the regulation calculation result, the water tank control module receives the regulation calculation result and controls the electric control valve of the water tank to open at the calculated optimal water inlet end time point and close at the calculated water inlet end liquid level.

[0080] In summary, through the regional water tank regulation scheme provided above, the embodiment of the present application can generate a regulation calculation result according to the fitting result of the inlet flow rate, the predicted water consumption result of the future date, the peak period of the water tank, the water age calculation result, and the peak period of the pipe network, and can dynamically adjust the water inlet period and liquid level threshold of the water tank, reduce the flow rate fluctuation of the pipe network during the peak period, reduce the standard deviation of the pressure at the pressurization point, and effectively avoid local overpressure or underpressure phenomena. At the same time, it can ensure that the water tank completes water storage or dynamic water replenishment before the peak period, and reduce the water shortage rate. In addition, it can generate a regulation strategy that takes into account energy consumption, water quality, and stability, and achieve a reduction in the comprehensive cost of a single scheduling. Further, in some embodiments, taking the pipe network pressure balance, the minimum water age, or the lowest electricity cost as the optimization goal of the water tank regulation, corresponding water tank regulation strategies can be provided according to the business needs of users.

[0081] The embodiment of the present application also provides a regional water tank regulation system, which can adopt the aforementioned regional water tank regulation method 100 for regional water tank regulation, or can adopt other methods for regional water tank regulation, and the present application does not limit this here.

[0082] Figure 7 Fig. shows an exemplary structural block diagram of the regional water tank regulation system 700 according to the embodiment of the present application.

[0083] As Figure 7 shown, the system 700 includes a data acquisition module 710, a data statistics module 720, a data calculation module 730, a water tank regulation module 740, and a water tank control module 750.

[0084] In an embodiment of the present application, the data acquisition module 710, the data statistics module 720, the data calculation module 730, and the water tank control module 750 are arranged at the edge side, and the water tank regulation module 740 is arranged at the platform side. The data acquisition module 710 sends the collected data to the data statistics module 720, and the data statistics module 720 obtains a statistical result based on the data collected by the data acquisition module 710. The data calculation module 730 performs data calculation on the data collected by the data acquisition module 710 and the statistical result obtained by the data statistics module 720. Then, the data calculation module 730 sends the data settlement result to the water tank regulation module 740 to obtain a regulation calculation result, the water tank regulation module 740 sends the regulation calculation result to the water tank control module 750, and the water tank control module 750 controls the electric control valve of the water tank to act based on the regulation calculation result.

[0085] With the above settings, the system 700 combines the edge gateway with the platform. Some algorithms related to underlying data are executed on the edge gateway, while the scheduling algorithm that needs to combine multiple water tanks is carried out on the platform, thereby improving the computing efficiency. At the same time, when the network is unstable, the scheduling strategy of edge-side storage is adopted to guide the next regulation.

[0086] Specifically, the data acquisition module 710 is used to acquire the basic data of the water tank.

[0087] Specifically, the data statistics module 720 is used to obtain the statistical data of the water tank based on the acquired basic data of the water tank. Among them, the statistical data of the water tank includes the import flow difference within multiple preset time intervals corresponding to multiple dates, and the export flow within multiple preset time intervals corresponding to multiple dates.

[0088] Specifically, the data calculation module 730 is used to sequentially obtain the import flow velocity fitting result, the water consumption prediction result for future dates, the water tank peak period and the water age calculation result based on the basic data of the water tank and the statistical data of the water tank.

[0089] Specifically, the water tank regulation module 740 is used to determine the network peak period based on the flow data of the network pressure boosting point corresponding to the acquired water tank, and generate a regulation calculation result according to the import flow velocity fitting result, the water consumption prediction result for future dates, the water tank peak period, the water age calculation result, and the network peak period.

[0090] Specifically, the water tank control module 750 is used to control the electric control valve of the water tank to act based on the regulation calculation result.

[0091] When the system 700 performs regional water tank regulation using the aforementioned regional water tank regulation method 100, the data acquisition module 710 and the data calculation module 730 are used to execute the aforementioned step S110, the data calculation module 730 is used to execute the aforementioned step S120, the water tank regulation module 740 is used to execute the aforementioned step S130 and the aforementioned step S140, and the water tank control module 750 is used to execute the aforementioned step S150. The specific execution process can be referred to the previous text and will not be elaborated here.

[0092] Although multiple embodiments of the present application have been shown and described herein, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art can think of many changes, alterations, and alternative ways without departing from the spirit and scope of the present application. It should be understood that various alternative solutions to the embodiments of the present application described herein can be adopted in the practice of the present application. The appended claims are intended to define the scope of protection of the present application and thus cover equivalents or alternative solutions within the scope of these claims.

Claims

1. A method for regional water tank regulation, characterized in that, Including: Obtaining the statistical data of the water tank based on the collected basic data of the water tank. The statistical data of the water tank includes the import flow difference within multiple preset time intervals corresponding to multiple dates respectively, and the export flow within multiple preset time intervals corresponding to multiple dates respectively; Successively obtaining the import flow velocity fitting result, the water consumption prediction result for future dates, the water tank peak period, and the water age calculation result based on the basic data of the water tank and the statistical data of the water tank; Determining the pipe network peak period based on the flow data of the pipe network pressure boosting point in the area corresponding to the water tank collected; Generating a regulation calculation result based on the import flow velocity fitting result, the water consumption prediction result for future dates, the water tank peak period, the water age calculation result, and the pipe network peak period; Controlling the electric control valve of the water tank to act based on the regulation calculation result.

2. The regional water tank regulation method according to claim 1, characterized in that, The basic data of the water tank includes: real-time import cumulative flow data, real-time import instantaneous flow data, real-time import pressure data, real-time water tank liquid level data, set high water level of the water tank, and set low water level of the water tank.

3. The regional water tank regulation method according to claim 2, characterized in that In the process of obtaining the statistical data of the water tank based on the collected basic data of the water tank, the following steps are executed: Statistically calculate the import flow differences within multiple preset time intervals corresponding to multiple dates based on real-time cumulative import flow data. Among them, the calculation formula for the import flow difference within the preset time interval is: E Δt = E t - E t-Δt , where E Δt is the import flow difference within the preset time interval, E t is the cumulative import flow data at the current moment, and E t-Δt represents the cumulative import flow data at the previous moment; Calculate the outlet flow rates corresponding to multiple preset time intervals for multiple dates based on the real-time water tank liquid level data and the real-time cumulative inlet flow rate data. Among them, the calculation formula for the outlet flow rate within the preset time interval is: E Δt出 = E Δt +(L t-Δt - L t ) × S, where E Δt出 is the outlet flow rate within the preset time interval, L t is the water tank liquid level data at the current moment, L t-Δt represents the water tank liquid level data at the previous moment, and S is the bottom area of the water tank.

4. The regional water tank regulation method according to claim 2, characterized in that In the process of successively obtaining the import flow velocity fitting result, the water consumption prediction result for future dates, the water tank peak period, and the water age calculation result based on the basic data of the water tank and the statistical data of the water tank, the following steps are executed: Preprocessing the real-time import instantaneous flow data and the real-time import pressure data, and performing data fitting on the preprocessed real-time import instantaneous flow data and real-time import pressure data to obtain an import flow velocity fitting curve; Preprocessing the export flow within multiple preset time intervals corresponding to multiple dates respectively, and obtaining the water consumption prediction result for future dates based on the export flow within multiple preset time intervals corresponding to multiple dates respectively after preprocessing and the corresponding influencing factor data; Identifying and processing abnormal data in the export flow within multiple preset time intervals corresponding to multiple dates respectively, and obtaining the water tank peak period based on the export flow within multiple preset time intervals corresponding to multiple dates respectively and the identified abnormal data; Obtain the initial water age according to the set high water level of the water tank and the set low water level of the water tank, where the calculation formula for the initial water age is: T_initial is the initial water age, L low is the set low water level of the water tank, L high is the set high water level of the water tank, V = (L high - L low ) × S, S is the bottom area of the water tank, L is the current water level of the water tank, q is the average water consumption, t_liquid is the time it takes for the water in the water tank to drop from the set high water level of the water tank to the set low water level of the water tank; Obtaining the current water age according to the real-time water tank liquid level data and the real-time import cumulative flow data.

5. The regional water tank regulation method according to claim 4, characterized in that In the process of obtaining the water tank peak period based on the export flow within multiple preset time intervals corresponding to multiple dates respectively and the identified abnormal data, the following steps are executed: Obtaining the water consumption within each preset time interval corresponding to each date based on the export flow within multiple preset time intervals corresponding to each date respectively, and sorting the water consumption within each preset time interval corresponding to each date in chronological order to form a water consumption data set corresponding to each date; Obtaining the water consumption corresponding to each date based on the water consumption data set corresponding to each date; Calculating the corresponding water consumption ratio for each piece of data in the time series data set corresponding to each date one by one, and obtaining the peak period corresponding to each date based on the calculation results of the water consumption ratios corresponding to each piece of data in the time series data set; Performing elimination processing on the dates with peak periods and abnormal data. Take the intersection of all peak periods in the dates with peak periods remaining after the culling process as the water tank peak period.

6. The regional water tank regulation method according to claim 5, characterized in that In the process of obtaining the peak period corresponding to each date based on the calculation results of the water consumption ratios corresponding to the data in the time series dataset, the following steps are executed: Determine whether there is data in the time series dataset with a corresponding water consumption ratio greater than or equal to the set threshold; In response to the absence of data in the time series dataset with a corresponding water consumption ratio greater than or equal to the set threshold, determine that there is no peak period for the date corresponding to the time series dataset; In response to the presence of data in the time series dataset with a corresponding water consumption ratio greater than or equal to the set threshold, determine whether there is data in the time series dataset with a corresponding water consumption ratio greater than or equal to the set threshold for continuously adjacent data; In response to the presence of data in the time series dataset with a corresponding water consumption ratio greater than or equal to the set threshold for continuously adjacent data, sort each piece of data in the corresponding continuously adjacent data in chronological order to form a water consumption subset, and take the initial time corresponding to the water consumption subset as the start time of the corresponding water tank peak period, and take the end time corresponding to the water consumption subset as the end time of the corresponding water tank peak period; In response to the absence of data in the time series dataset with a corresponding water consumption ratio greater than or equal to the set threshold for continuously adjacent data, take the initial time of each piece of data with a corresponding water consumption ratio greater than or equal to the set threshold as the start time of the corresponding water tank peak period, and take the end time of each piece of data with a corresponding water consumption ratio greater than or equal to the set threshold as the end time of the corresponding water tank peak period; Take the time period between the start time of the corresponding water tank peak period and the end time of the corresponding water tank peak period as the peak period corresponding to the corresponding date.

7. The method for regulating and storing water in the regional water tank according to claim 4, wherein The calculation formula for the current water age is as follows: T n is the water age at the current moment n, V' is the water volume in the water tank at the current moment n, and V 进 is the water inflow volume within the time interval Δt, and V 进 = F t ×Δt, where F t is the water inflow velocity within the time interval Δt, T 进 refers to the water age of the inflow water, Δt is the preset time interval, and T n-1 is the water age at the previous moment n - 1.

8. The method for regulating and storing water in a regional water tank according to claim 1, characterized in that In the process of generating the regulation calculation result based on the import flow rate fitting result, the water consumption prediction result for the future date, the water tank peak period, the water age calculation result, and the pipe network peak period, the following steps are executed: Obtain the predicted outlet water volume of the water tank in the current area during the pipe network peak period based on the pipe network peak period and the water consumption prediction result for the future date; Determine whether the effective volume of the water tank is greater than or equal to the predicted outlet water volume of the water tank during the pipe network peak period; In response to the effective volume of the water tank being greater than or equal to the predicted outlet water volume of the water tank during the pipe network peak period, calculate the earliest water inlet end time point and the latest water inlet end time point at which the water in the water tank is used up at the end of the water tank peak period based on the predicted outlet water volume of the water tank during the pipe network peak period and the import flow rate fitting result; In response to the effective volume of the water tank being less than the predicted outlet water volume of the water tank during the pipe network peak period, calculate the latest water inlet end time point at which the water tank is filled to full at the start time of the water tank peak period based on the import flow rate fitting result, and take the latest water inlet end time point shifted forward by a preset time period as the earliest water inlet time point; Select the optimal water inlet end time point from the latest water inlet end time point and the earliest water inlet time point based on the optimization objective, and determine the corresponding water inlet end liquid level.

9. The method for regulating and storing water in a regional water tank according to claim 8, wherein The optimization objective includes at least one of pipe network pressure balance, water age minimization, and minimum electricity cost.

10. A regional water tank storage system, characterized in that, Regional water tank regulation is carried out by using the regional water tank regulation method described in any one of claims 1-9. The system includes: A data acquisition module for acquiring the basic data of the water tank; A data statistics module for obtaining the statistical data of the water tank based on the acquired basic data of the water tank. Among them, the statistical data of the water tank includes the import flow difference within multiple preset time intervals corresponding to multiple dates and the export flow within multiple preset time intervals corresponding to multiple dates; A data calculation module for sequentially obtaining the import flow velocity fitting result, the water consumption prediction result for future dates, the water tank peak period and the water age calculation result based on the basic data of the water tank and the statistical data of the water tank; A water tank regulation module for determining the peak period of the pipe network based on the flow data of the pipe network pressure boosting point corresponding to the acquired water tank, and generating a regulation calculation result according to the import flow velocity fitting result, the water consumption prediction result for future dates, the water tank peak period, the water age calculation result and the peak period of the pipe network; A water tank control module for controlling the electric control valve of the water tank to act based on the regulation calculation result.

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