A method, device and equipment for generating a multi-water source scheduling scheme

Abstract

The present application provides a method, device and equipment for generating a multi-water source scheduling scheme, and relates to the field of urban water supply technology. The method includes: obtaining the historical monthly water supply of multiple water plants in the target month, the water supply-demand ratio, and the actual water supply in the preset time period before the first moment, obtaining the daily available water volume of multiple water sources, and predicting the daily water demand of each water plant in the target month based on the historical monthly water supply of each water plant, the water supply-demand ratio, and the actual water supply in the preset time period, and then predicting the average daily water intake of each water plant in multiple water sources in the target month based on the daily water demand of each water plant in the target month and the daily available water volume of multiple water sources, and finally generating a multi-water source scheduling scheme for each water plant in the target month based on the average daily water intake. There is no need for personnel to manually generate a multi-water source scheduling scheme, which solves the problem of poor real-time performance, and automatically generates a multi-water source scheduling scheme for each water plant in the target month, thereby improving generation efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of urban water supply, and in particular to a method, device and equipment for generating a multi-water source scheduling scheme. Background Art

[0002] Under the existing water sources and equipment conditions, by reasonably organizing and coordinating the operation and management of multiple water sources, maintaining service pressure as a prerequisite, and rationally operating equipment such as pumps, the water supply cost can be minimized, thereby achieving efficient use and optimal allocation of water resources. However, the current multi-water source scheduling function still collects data manually, enters the data into a spreadsheet file, and formulates a scheduling plan based on personal past experience. This has the problems of high labor costs, long time consumption, and long problem solving time, and cannot meet the requirements of the information system in terms of real-time performance. Summary of the invention

[0003] The purpose of the present invention is to address the deficiencies in the above-mentioned prior art and provide a method, device and equipment for generating a multi-water source scheduling plan, so as to automatically generate a multi-water source scheduling plan for each water plant in the target month based on the historical monthly water supply of multiple water plants in the target month, the water supply-demand ratio, the actual water supply in a preset time period before the first moment, and the daily available water volume of multiple water sources in the target month, thereby improving the generation efficiency.

[0004] To achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:

[0005] In a first aspect, an embodiment of the present application provides a method for generating a multi-water source scheduling plan, the method comprising:

[0006] Obtain the historical monthly water supply of multiple water plants in the target month, the water supply-demand ratio, and the actual water supply in the preset time period before the first moment;

[0007] Obtain the daily available water volume of multiple water sources in the target month;

[0008] Predict the daily water demand of each water plant in the target month based on the historical monthly water supply of each water plant in the same period, the water supply-demand ratio and the actual water supply in the preset time period;

[0009] According to the daily water demand of each water plant in the target month and the daily available water of the multiple water sources in the target month, predict the daily average water intake of each water plant from the multiple water sources in the target month;

[0010] A multi-water source dispatching plan for each water plant in the target month is generated based on the average daily water intake.

[0011] In an optional implementation manner, predicting the daily water demand of each water plant in the target month based on the historical monthly water supply of each water plant in the same period, the water supply-demand ratio, and the actual water supply in the preset time period includes:

[0012] Predicting the monthly water supply of each water plant in the target month based on the historical monthly water supply of each water plant in the same period and the actual water supply in the preset time period;

[0013] Predicting the daily water supply of each water plant in the target month based on the monthly water supply of each water plant in the target month;

[0014] The daily water demand of each water plant in the target month is predicted based on the daily water supply of each water plant in the target month and the water supply-demand ratio.

[0015] In an optional embodiment, the actual water supply in the preset time period includes: a plurality of actual daily water supplies in the preset time period;

[0016] The predicting of the monthly water supply of each water plant in the target month according to the historical monthly water supply of each water plant in the same period and the actual water supply of the preset time period includes:

[0017] Determine the historical average monthly water supply of each water plant in the target month based on the historical water supply of each water plant in the same period;

[0018] Predicting multiple weekly water supplies for the target month based on the multiple actual daily water supplies;

[0019] The monthly water supply of each water plant in the target month is predicted based on the historical average monthly water supply during the same period and the multiple weekly water supplies.

[0020] In an optional embodiment, before obtaining the daily available water volume of multiple water sources in the target month, the method further includes:

[0021] The daily available water volume of each water source in the target month is determined based on the reservoir capacity, guaranteed reservoir capacity, daily water intake volume of each water source at the first moment and the start time of the target month.

[0022] In an optional implementation, the predicting of the average daily water intake of each water plant from the multiple water sources in the target month based on the daily water demand of each water plant in the target month and the daily available water of the multiple water sources in the target month includes:

[0023] Based on the preset water supply relationship table between each water plant and the multiple water sources, according to the daily water demand of each water plant in the target month, and the daily available water volume of the multiple water sources in the target month, the average daily water intake of each water plant from the multiple water sources in the target month is predicted.

[0024] In an optional embodiment, based on the preset water supply relationship table between each water plant and the multiple water sources, according to the daily water demand of each water plant in the target month, and the daily available water of the multiple water sources in the target month, predicting the average daily water intake of each water plant from the multiple water sources in the target month includes:

[0025] Determining, according to the preset water supply relationship table, at least one first water source that supplies water to a first target water plant among the multiple water plants;

[0026] Determine whether the daily available water volume of the at least one first water source is greater than or equal to the daily water demand of the first target water plant in the target month;

[0027] If the daily available water volume of the at least one first water source is greater than or equal to the daily water demand of the first target water plant in the target month, the average daily water intake of the first target water plant from the at least one first water source in the target month is determined based on the daily water demand of the first target water plant in the target month.

[0028] In an optional embodiment, the method further comprises:

[0029] If the daily available water volume of the at least one first water source is less than the daily water demand of the first target water plant in the target month, then determining at least one second water source that supplies water to the first target water plant according to the preset water supply relationship table;

[0030] Determine whether the daily available water volume of the at least one second water source is greater than or equal to the daily water demand of the first target water plant in the target month;

[0031] If the daily available water volume of the at least one second water source is greater than or equal to the daily water demand of the first target water plant in the target month, then the average daily water intake of the first target water plant from the at least one second water source in the target month is determined according to the daily water demand of the first target water plant in the target month;

[0032] If the sum of the daily available water volume of at least one second water source is less than the water demand of the first target water plant in the target month, continue to determine the water source that supplies water to the first target water plant according to the preset water supply relationship table, until a target water source whose daily available water volume is greater than or equal to the water demand of the first target water plant in the target month is determined, and the average daily water intake of the first target water plant at the target water source in the target month is determined.

[0033] In an optional embodiment, the method further comprises:

[0034] Acquire emergency input information for the second target water plant at the second moment, the emergency input information including: the time period to be adjusted and the daily water demand of the second target water plant in the time period to be adjusted, wherein the start time of the time period to be adjusted is the second moment, and the end time of the time period to be adjusted is the end time of the target month;

[0035] Based on the daily water demand in the time period to be adjusted and the daily available water volume of the multiple water sources in the time period to be adjusted, the average daily water intake of the second target water plant from the multiple water sources in the time period to be adjusted is determined, and a multi-water source scheduling plan for the second target water plant in the time period to be adjusted is generated.

[0036] In a second aspect, the embodiment of the present application further provides a device for generating a multi-water source scheduling plan, including:

[0037] An acquisition module is used to obtain the historical monthly water supply of multiple water plants in the target month, the water supply-demand ratio, and the actual water supply in a preset time period before the first moment;

[0038] The acquisition module is also used to obtain the daily available water volume of multiple water sources in the target month;

[0039] A prediction module, used to predict the daily water demand of each water plant in the target month according to the historical monthly water supply of each water plant in the same period, the water supply-demand ratio and the actual water supply in the preset time period;

[0040] The prediction module is further used to predict the average daily water intake of each water plant from the multiple water sources in the target month based on the daily water demand of each water plant in the target month and the daily available water of the multiple water sources in the target month;

[0041] A generation module is used to generate a multi-water source scheduling plan for each water plant in the target month according to the average daily water intake.

[0042] In the third aspect, an embodiment of the present application also provides a computer device, comprising: a processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor, and when the computer device is running, the processor communicates with the storage medium through the bus, and the processor executes the program instructions to perform the steps of the multi-water source scheduling scheme generation method as described in any one of the first aspects.

[0043] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for generating a multi-water source scheduling plan as described in any one of the first aspects are executed.

[0044] The beneficial effects of this application are:

[0045] The embodiment of the present application provides a method, device and equipment for generating a multi-water source scheduling scheme, the method comprising: obtaining the historical monthly water supply, water supply and demand ratio and actual water supply of multiple water plants in the target month, obtaining the daily available water of multiple water sources, and predicting the daily water demand of each water plant in the target month according to the historical monthly water supply, water supply and demand ratio and actual water supply of the preset time period of each water plant, and then predicting the average daily water intake of each water plant in multiple water sources in the target month according to the daily water demand of each water plant in the target month and the daily available water of multiple water sources, and finally generating a multi-water source scheduling scheme for each water plant in the target month according to the average daily water intake. The method of the present application does not require personnel to manually generate a multi-water source scheduling scheme, solves the problem of poor real-time performance, and automatically generates a multi-water source scheduling scheme for each water plant in the target month according to the historical monthly water supply, water supply and demand ratio, actual water supply of the preset time period before the first moment and the daily available water of multiple water sources in the target month, thereby improving generation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0047] Figure 1 One of the flow charts of a method for generating a multi-water source scheduling scheme provided in an embodiment of the present application;

[0048] Figure 2 A second flow chart of generating a multi-water source scheduling solution provided in an embodiment of the present application;

[0049] Figure 3 A third flow chart of a multi-water source scheduling scheme generation process provided in an embodiment of the present application;

[0050] Figure 4 A schematic diagram of a preset water supply relationship table provided in an embodiment of the present application;

[0051] Figure 5 A fourth flow chart of a method for generating a multi-water source scheduling scheme provided in an embodiment of the present application;

[0052] Figure 6 A fifth flow chart of a method for generating a multi-water source scheduling scheme provided in an embodiment of the present application;

[0053] Figure 7 A sixth flow chart of a method for generating a multi-water source scheduling scheme provided in an embodiment of the present application;

[0054] Figure 8 A schematic diagram of functional modules of a device for generating a multi-water source scheduling scheme provided in an embodiment of the present application;

[0055] Fig. 9 A schematic diagram of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.

[0057] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0058] In the description of the present application, it should be noted that if the terms "upper", "lower", etc. appear, the orientation or position relationship indicated is based on the orientation or position relationship shown in the drawings, or is the orientation or position relationship in which the product of the application is usually placed when used. It is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application.

[0059] In addition, the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0060] It should be noted that, in the absence of conflict, the features in the embodiments of the present application may be combined with each other.

[0061] In order to automatically generate a multi-water source scheduling plan for each water plant in the target month and improve the generation efficiency, an embodiment of the present application provides a multi-water source scheduling plan generation method, by obtaining the historical monthly water supply of multiple water plants in the target month, the water supply-demand ratio and the actual water supply in a preset time period before the first moment, the daily available water volume of multiple water sources is obtained, and the daily water demand of each water plant in the target month is predicted based on the historical monthly water supply of each water plant in the target month, the water supply-demand ratio and the actual water supply in the preset time period. Then, based on the daily water demand of each water plant in the target month and the daily available water of multiple water sources, the average daily water intake of each water plant in multiple water sources in the target month is predicted. Finally, based on the average daily water intake, a multi-water source scheduling plan for each water plant in the target month is generated. There is no need for personnel to manually generate the multi-water source scheduling plan, which solves the problem of poor real-time performance, and automatically generates a multi-water source scheduling plan for each water plant in the target month to improve the generation efficiency.

[0062] The following is a detailed explanation of a method for generating a multi-water source scheduling scheme provided by an embodiment of the present application through specific examples in conjunction with the accompanying drawings. A method for generating a multi-water source scheduling scheme provided by an embodiment of the present application can be implemented by a computer device pre-installed with: a multi-water source scheduling scheme generation algorithm or detection software, by running the algorithm or software. The computer device can be, for example, a server or a terminal, and the terminal can be a user computer. Figure 1 One of the flow charts of a method for generating a multi-water source scheduling scheme provided in an embodiment of the present application; Figure 1 As shown, the method includes:

[0063] S101. Obtain the historical monthly water supply of multiple water plants in the target month, the water supply-demand ratio, and the actual water supply in a preset time period before the first moment.

[0064] S102. Obtain daily available water volume of multiple water sources in a target month.

[0065] In this embodiment, the Supervisory Control And Data Acquisition (SCADA) system is called to obtain the historical monthly water supply of multiple water plants in the target month, the water supply-demand ratio, and the actual water supply in the preset time period before the first moment, as well as the daily available water volume of multiple water sources in the target month. Among them, the SCADA system is a computer-based DCS and power automation monitoring system with a wide range of applications. It can also be used in data acquisition and monitoring control and process control in the fields of electricity, metallurgy, petroleum, chemical industry, gas, railways, etc.

[0066] Specifically, the target month is a future month of the current month. For example, if the current month is October 2024, the target month may be November 2024, December 2024, etc., without limitation.

[0067] If the target month is November 2024, then obtain the water supply of multiple water plants in the same period of November. The water supply of the same period of history is the average of the water supply of the same period of history, that is, the average of the daily water supply of the same period of history is taken to determine the average of the historical water supply of the current month. For example, the water supply of a water plant in the target month is expressed as: H = (h1, h2, ..., h n ), where h1 can be expressed as the average historical water supply of the water plant in November 2023, h2 can be expressed as the average historical water supply of the water plant in November 2022, and h n It can be expressed as the average historical water supply of the water plant in November of year n.

[0068] The water supply-demand ratio of multiple water plants in the target month is the water supply-demand ratio determined by taking the average of the water supply-demand ratios of multiple water plants in historical months. The calculation formula is expressed as:

[0069]

[0070] Among them, X represents the water supply and demand ratio of a water plant, X1, X2, X n are the water supply and demand ratios of the water plant in historical months. For example, if n is 5 and the target month is November, then X1 represents the water supply and demand ratio of the water plant in October, and X n It is expressed as the water supply-demand ratio of the water plant in June, where the water supply-demand ratio is the ratio of actual water supply to actual water demand.

[0071] The first moment is characterized by the moment when the multi-water source scheduling scheme for each water plant in the target month is generated. For example, if the multi-water source scheduling scheme for each water plant in November 2024 is generated on October 28, 2024, then October 28, 2024 is the first moment. Since the water supply in the preset time period before the first moment is known, the actual water supply in the preset time period before the first moment is obtained. The preset time period can be 30 days, 15 days, 7 days, etc., and there is no restriction here. If the preset time period is 30 days, the actual water supply in the 30 days before October 28, 2024 is obtained.

[0072] Optionally, before obtaining the daily available water volume of multiple water sources in the target month, the method further includes:

[0073] The daily available water volume of each water source in the target month is determined based on the reservoir capacity, guaranteed reservoir capacity, daily water intake and the start time of the target month of each water source at the first moment.

[0074] Specifically, the formula for calculating the daily available water volume of a water source in the target month can be expressed as:

[0075]

[0076] Among them, C val It is expressed as the daily available water volume of the water source, that is, the average daily water consumption in the target month, C cur It is expressed as the storage capacity of the water source at the first moment, C low It is expressed as the storage capacity of the water source, Q cur It represents the daily water intake of the water source, T1 represents the time required from the first moment to the start time of the target month. For example, if the first moment is October 28, 2024, and the start time of the target month is November 1, 2024, then T1 is 4, and T represents the number of days in the target month. In this way, the daily available water volume of multiple water sources in the target month can be obtained.

[0077] S103. Predict the daily water demand of each water plant in the target month based on the historical monthly water supply of each water plant in the same period, the water supply-demand ratio, and the actual water supply in a preset time period.

[0078] S104. Based on the daily water demand of each water plant in the target month and the daily available water volume of multiple water sources, predict the average daily water intake of each water plant from multiple water sources in the target month.

[0079] S105. Generate a multi-water source dispatching plan for each water plant in the target month based on the average daily water intake.

[0080] Specifically, based on the historical monthly water supply of each water plant, the water supply-demand ratio and the actual water supply in the preset time period, the daily water demand of each water plant in the target month is predicted.

[0081] By comparing the daily water demand of each water plant in the target month and the daily available water volume of multiple water sources, the average daily water intake of each water plant from multiple water sources in the target month is determined, and then a multi-water source scheduling plan for each water plant in the target month is generated.

[0082] To summarize, an embodiment of the present application provides a method for generating a multi-water source scheduling scheme, the method comprising: obtaining the historical monthly water supply, water supply-demand ratio, and actual water supply of multiple water plants in the target month in a preset time period before a first moment, obtaining the daily available water volume of multiple water sources, and predicting the daily water demand of each water plant in the target month based on the historical monthly water supply, water supply-demand ratio, and actual water supply of each water plant in the preset time period, and then predicting the average daily water intake of each water plant in multiple water sources in the target month based on the daily water demand of each water plant in the target month and the daily available water of multiple water sources, and finally generating a multi-water source scheduling scheme for each water plant in the target month based on the average daily water intake. The method of the present application does not require personnel to manually generate a multi-water source scheduling plan, thereby solving the problem of poor real-time performance. According to the historical monthly water supply of multiple water plants in the target month, the water supply-demand ratio, the actual water supply in the preset time period before the first moment, and the daily available water volume of multiple water sources in the target month, a multi-water source scheduling plan for each water plant in the target month is automatically generated to improve generation efficiency.

[0083] The embodiment of the present application also provides another possible implementation of the method for generating a multi-water source scheduling plan: Figure 2 The second flow chart of generating a multi-water source scheduling scheme provided in the embodiment of the present application is as follows: Figure 2 As shown in the figure, based on the historical monthly water supply of each water plant, the water supply-demand ratio and the actual water supply in the preset time period, the daily water demand of each water plant in the target month is predicted, including:

[0084] S201. Predict the monthly water supply of each water plant in the target month based on the historical monthly water supply of each water plant in the same period and the actual water supply in a preset time period.

[0085] S202. Predict the daily water supply of each water plant in the target month based on the monthly water supply of each water plant in the target month.

[0086] S203. Predict the daily water demand of each water plant in the target month based on the daily water supply and water supply-demand ratio of each water plant in the target month.

[0087] In this embodiment, the water supply process of the water plant has the following rules: affected by policy guidelines, industrial structure adjustment and economic growth factors on the development of the water supply area of ​​the water plant, the annual total water supply of the water plant has a trend of gradually increasing, decreasing or basically remaining the same from year to year; in terms of annual distribution, the water supply process of the water plant maintains a relatively stable change rule under the joint action of seasonal changes, major holidays and other factors, which is manifested in that the water supply process of the same water plant has significant process similarity in the water supply process of consecutive years; in a short period of time, the daily water supply of the water plant is affected by many uncertainties such as the randomness of user water use and emergencies, which manifests as a random fluctuation process, but the amplitude of its water supply fluctuation is generally small, and the impact of this randomness on water balance can be basically ignored.

[0088] Therefore, according to the above rules, the monthly water supply of each water plant in the target month is predicted based on the historical monthly water supply of each water plant in the same period and the actual water supply in the preset time period, and the daily water supply of each water plant in the target month is predicted based on the monthly water supply of each water plant in the target month.

[0089] Since the water supply-demand ratio is represented by the ratio of water supply to water demand, the daily water supply of each water plant in the target month is divided by the water supply-demand ratio to obtain the daily water demand of each water plant in the target month.

[0090] It should be noted that according to the above rules, the continuous water supply data of each water plant in the past three years is statistically analyzed to determine the average annual water supply growth rate α of the water plant in the near future, and the total water consumption T of the next year is predicted based on the growth rate y+1 =αT y In order to meet the requirements of strict water resources management system, combined with the regional water resources comprehensive planning, the predicted annual water supply of the water plant is checked to ensure that it meets the total water supply control requirements, that is, T y+1 ≤T max If the total annual water supply exceeds the requirement, the growth rate is calculated according to the total control target and the growth rate is corrected to X = (T maz -T y ) / Y y The growth rate can be used to generate the growth curve of the annual water supply of each water plant.

[0091] In the method provided in the embodiment of the present application, the monthly water supply of each water plant in the target month is predicted based on the historical monthly water supply of each water plant in the same period and the actual water supply in a preset time period. The daily water supply of each water plant in the target month is predicted based on the monthly water supply of each water plant in the target month. The daily water demand of each water plant in the target month is predicted based on the daily water supply of each water plant in the target month and the water supply-demand ratio. The daily water demand of each water plant in the target month is predicted based on the historical monthly water supply of each water plant in the same period, the water supply-demand ratio and the actual water supply in the preset time period.

[0092] The embodiment of the present application also provides another possible implementation of a method for generating a multi-water source scheduling scheme, wherein the actual water supply in a preset time period includes: a plurality of actual daily water supplies in the preset time period; Figure 3 The third flow chart of generating a multi-water source scheduling scheme provided in the embodiment of the present application is as follows: Figure 3 As shown in the figure, based on the historical monthly water supply of each water plant in the same period and the actual water supply in the preset time period, the monthly water supply of each water plant in the target month is predicted, including:

[0093] S301. Determine the historical average monthly water supply of each water plant in the target month based on the historical water supply of each water plant in the same period.

[0094] S302: Predict multiple weekly water supplies in a target month based on multiple actual daily water supplies.

[0095] S303. Predict the monthly water supply of each water plant in the target month based on the historical average monthly water supply in the same period and multiple weekly water supplies.

[0096] In this embodiment, the historical water supply of a water plant in the same period can be expressed as H = (h1, h2, ..., h n ), the historical average monthly water supply of a water plant in the target month can be expressed as:

[0097]

[0098] Among them, H m It is expressed as the historical average monthly water supply in the same period when the target month is month m, h i It is expressed as the historical water supply in the target month of the i-th year.

[0099] For example, if the multiple actual daily water supplies are 30 actual daily water supplies, the multiple actual daily water supplies can be expressed as D = (d1, d2, ..., d n ), n is 30. By using the sliding window method, the water supply of multiple weeks in the target month is predicted. Since there are 7 days in a week, the water supply of 4 weeks in the target month can be predicted. A sliding window with a window size of 7 is defined.

[0100] If W k It is expressed as the average water supply in the kth week of the target month. The calculation formula for the average water supply in the kth week is:

[0101]

[0102] The water supply for the four weeks is expressed as:

[0103]

[0104]

[0105] And based on the average monthly water supply in the same period of history and multiple weekly water supplies, the monthly water supply of each water plant in the target month is predicted. The prediction expression is:

[0106]

[0107] The weighted average of the weekly water supply for the four weeks is taken using the weight factor w, and then added to the average monthly water supply for the same period in history to predict the monthly water supply for the target month.

[0108] It should be noted that the average daily water supply in the target month is determined based on the monthly water supply of each water plant in the target month and the number of days in the target month. The calculation formula is expressed as:

[0109]

[0110] Among them, P represents the monthly water supply of a water plant in the target month, D represents the number of days in the target month, and M represents the average daily water supply in the target month.

[0111] In addition, the daily water demand of each water plant in the target month is calculated based on the historical average monthly water supply of each water plant in the target month and the average daily water supply in the target month. The calculation formula is as follows:

[0112] M final =x*H m +(1-x)*M

[0113] Among them, M finsl It is expressed as the daily water demand of a water plant in the target month, H m It is expressed as the historical average monthly water supply of a water plant in the target month, x is the preset weight, where 0≤x≤1.

[0114] In the method provided in the embodiment of the present application, the historical average monthly water supply of each water plant in the target month is determined based on the historical water supply of each water plant in the same period; multiple weekly water supplies of the target month are predicted based on multiple actual daily water supplies; the monthly water supply of each water plant in the target month is predicted based on the historical average monthly water supply and multiple weekly water supplies, thereby realizing the prediction of the monthly water supply of each water plant in the target month based on the historical monthly water supply of each water plant in the same period and the actual water supply in a preset time period.

[0115] The embodiment of the present application also provides another possible implementation of the method for generating a multi-water source scheduling plan: Figure 4A schematic diagram of a preset water supply relationship table provided in an embodiment of the present application. Based on the daily water demand of each water plant in the target month and the daily available water volume of multiple water sources in the target month, the average daily water intake of each water plant in multiple water sources in the target month is predicted, including:

[0116] Based on the preset water supply relationship table between each water plant and multiple water sources, the average daily water intake of each water plant from multiple water sources in the target month is predicted according to the daily water demand of each water plant in the target month and the daily available water volume of multiple water sources in the target month.

[0117] In this embodiment, the main goal of multi-water source scheduling is to ensure the supply and demand balance of the water supply system. The main basis for scheduling calculation is the law of conservation of mass. According to the economic coefficient of each water source, a preset water supply relationship table between each water plant and multiple water sources is determined in advance, and the priorities of multiple water plants are sorted. Water is allocated in sequence according to the sorting order, such as Figure 4 As shown, a multi-water source scheduling plan is generated for the five water plants. The priorities of the five water plants are from high to low: Water Plant A, Water Plant B, Water Plant C, Water Plant D, and Water Plant E. A multi-water source scheduling plan is generated for Water Plant A first, then for Water Plant B, and finally for Water Plant E.

[0118] Among them, the water source that Water Plant A prioritizes to draw water from is Water Source 1, followed by Water Source 2 and Water Source 3, then Water Source 4 and Water Source 5; the water source that Water Plant B prioritizes to draw water from is Water Source 3 and Water Source 2, followed by Water Source 6; the water source that Water Plant C prioritizes to draw water from is Water Source 5, followed by Water Source 4; the water source that Water Plant D prioritizes to draw water from is Water Source 7, followed by Water Source 4; the water source that Water Plant E prioritizes to draw water from is Water Source 3 and Water Source 2, followed by Water Source 7.

[0119] Based on the preset water supply relationship table between each water plant and multiple water sources, the daily water demand of each water plant in the target month and the daily available water volume of multiple water sources in the target month are compared to predict the average daily water intake of each water plant from multiple water sources in the target month.

[0120] The embodiment of the present application also provides another possible implementation of the method for generating a multi-water source scheduling plan: Figure 5 The fourth flow chart of a method for generating a multi-water source scheduling scheme provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, based on the preset water supply relationship table between each water plant and multiple water sources, according to the daily water demand of each water plant in the target month and the daily available water of multiple water sources in the target month, the average daily water intake of each water plant from multiple water sources in the target month is predicted, including:

[0121] S401. Determine at least one first water source that supplies water to a first target water plant among multiple water plants according to a preset water supply relationship table.

[0122] S402. Determine whether the daily available water volume of at least one first water source is greater than or equal to the daily water demand of the first target water plant in the target month.

[0123] S403. If the daily available water volume of at least one first water source is greater than or equal to the daily water demand of the first target water plant in the target month, determine the average daily water intake of the first target water plant from at least one first water source in the target month based on the daily water demand of the first target water plant in the target month.

[0124] For example, continue to refer to Figure 4 If a multi-water source scheduling plan is generated for Water Plant A, Water Plant B, Water Plant C, and Water Plant D, and the first target water plant is determined to be Water Plant E, then according to the preset water supply relationship table, at least one first water source supplying water to the first target water plant is determined to be Water Source 3 and Water Source 2.

[0125] Then determine whether the sum of the daily available water volume of water source 3 and water source 2 is greater than or equal to the daily water demand of water plant E in the target month. If the sum of the daily available water volume of water source 3 and water source 2 is greater than or equal to the daily water demand of water plant E in the target month, water is supplied to water plant E according to the preset proportional coefficient. For example, the preset proportional coefficient is 6:4, then according to the daily water demand of water plant E in the target month, determine that the average daily water intake of water source 3 is 60% of the daily water demand of water plant E in the target month, and the average daily water intake of water source 2 is 40% of the daily water demand of water plant E in the target month.

[0126] It should be noted that, if there are multiple water sources in at least one first water source, it is determined whether the sum of the daily available water volumes of the multiple water sources is greater than or equal to the daily water demand of the first target water plant in the target month, and based on the daily water demand of the first target water plant in the target month and the preset proportional coefficient, the average daily water intake of the first target water plant from the multiple first water sources in the target month is determined; if there is one water source in at least one first water source, it is determined whether the daily available water volume of one water source is greater than or equal to the daily water demand of the first target water plant in the target month, and based on the daily water demand of the first target water plant in the target month, the average daily water intake of the first target water plant from one water source in the target month is determined.

[0127] In the method provided in the embodiment of the present application, at least one first water source that supplies water to a first target water plant among multiple water plants is determined based on a preset water supply relationship table; it is determined whether the daily available water volume of at least one first water source is greater than or equal to the daily water demand of the first target water plant in the target month; if the daily available water volume of at least one first water source is greater than or equal to the daily water demand of the first target water plant in the target month, then the average daily water intake of the first target water plant from at least one first water source in the target month is determined based on the daily water demand of the first target water plant in the target month; only when the daily available water volume of at least one first water source is greater than or equal to the daily water demand of the first target water plant in the target month, can the first target water plant draw water from at least one first water source and determine the average daily water intake.

[0128] The embodiment of the present application also provides another possible implementation of the method for generating a multi-water source scheduling plan: Figure 6 FIG5 is a flow chart of a method for generating a multi-water source scheduling scheme provided in an embodiment of the present application. Figure 6 As shown, the method also includes:

[0129] S501. If the daily available water volume of at least one first water source is less than the daily water demand of the first target water plant in the target month, determine at least one second water source that supplies water to the first target water plant according to a preset water supply relationship table.

[0130] S502. Determine whether the daily available water volume of at least one second water source is greater than or equal to the daily water demand of the first target water plant in the target month.

[0131] S503. If the daily available water volume of at least one second water source is greater than or equal to the daily water demand of the first target water plant in the target month, determine the average daily water intake of the first target water plant from at least one second water source in the target month based on the daily water demand of the first target water plant in the target month.

[0132] S504. If the sum of the daily available water volume of at least one second water source is less than the water demand of the first target water plant in the target month, continue to determine the water source that supplies water to the first target water plant according to the preset water supply relationship table, until a target water source whose daily available water volume is greater than or equal to the water demand of the first target water plant in the target month is determined, and the average daily water intake of the first target water plant at the target water source in the target month is determined.

[0133] In this embodiment, continuing to refer to the above example, if the sum of the daily available water volume of water source 3 and water source 2 is less than the daily water demand of water plant E in the target month, then according to the preset water supply relationship table, it is determined that at least one second water source supplying water to water plant E is water source 7, and it is determined whether the daily available water volume of water source 7 is greater than or equal to the daily water demand of water plant E in the target month.

[0134] If the daily available water volume of water source 7 is greater than or equal to the daily water demand of water plant E in the target month, then based on the daily water demand of water plant E in the target month, the average daily water intake of water plant E from water source 7 in the target month is determined to be the daily water demand of water plant E in the target month.

[0135] If the daily available water volume of water source 7 is less than the daily water demand of water plant E in the target month, the water source supplying water to water plant E will continue to be determined as water source 4 according to the preset water supply relationship table, until a target water source whose daily available water volume is greater than or equal to the water demand of the first target water plant in the target month is determined, and the average daily water intake of the first target water plant at the target water source in the target month is determined.

[0136] In the method provided in the embodiment of the present application, if the daily available water volume of at least one first water source is less than the daily water demand of the first target water plant in the target month, then at least one second water source supplying water to the first target water plant is determined according to a preset water supply relationship table; it is judged whether the daily available water volume of at least one second water source is greater than or equal to the daily water demand of the first target water plant in the target month; if the daily available water volume of at least one second water source is greater than or equal to the daily water demand of the first target water plant in the target month, then the first target water plant in the target month is determined according to the daily water demand of the first target water plant in the target month. The average daily water intake of a target water plant from at least one second water source; if the sum of the daily available water intake of at least one second water source is less than the water demand of the first target water plant in the target month, continue to determine the water source supplying water to the first target water plant according to the preset water supply relationship table, until a target water source whose daily available water intake is greater than or equal to the water demand of the first target water plant in the target month is determined, and the average daily water intake of the first target water plant from the target water source in the target month is determined, so as to achieve the determination of the average daily water intake of each water plant from multiple water sources by re-determining the water supply source.

[0137] The embodiment of the present application also provides another possible implementation of the method for generating a multi-water source scheduling plan: Figure 7 The sixth flow chart of a method for generating a multi-water source scheduling scheme provided in an embodiment of the present application. Figure 7 As shown, the method also includes:

[0138] S601. Obtain emergency input information for a second target water plant at a second moment.

[0139] Among them, the emergency input information includes: the time period to be adjusted and the daily water demand of the second target water plant in the time period to be adjusted, among which the start time of the time period to be adjusted is the second time, and the end time of the time period to be adjusted is the end time of the target month.

[0140] S602. Based on the daily water demand in the time period to be adjusted and the daily available water volume of multiple water sources in the time period to be adjusted, determine the average daily water intake of the second target water plant from multiple water sources in the time period to be adjusted, and generate a multi-water source scheduling plan for the second target water plant in the time period to be adjusted.

[0141] In this embodiment, due to a series of factors such as water plant equipment failure and natural conditions, some uncontrollable events may occur, resulting in a reduction or increase in production of the second target water plant. Therefore, it is necessary to adjust the multi-water source scheduling plan from the moment the emergency occurs to the end of the target month, where the moment the emergency occurs is the second moment, and the time period to be adjusted is determined according to the end of the target month, and the daily water demand of the second target water plant in the time period to be adjusted is obtained.

[0142] Re-compare the daily water demand of the second target water plant in the time period to be adjusted and the daily available water volume of multiple water sources in the time period to be adjusted, determine the average daily water intake of the second target water plant in multiple water sources in the time period to be adjusted, and generate a multi-water source scheduling plan for the second target water plant in the time period to be adjusted based on the average daily water intake of the second target water plant in multiple water sources. The specific determination of the average daily water intake of the second target water plant in multiple water sources in the time period to be adjusted can refer to the above examples S401-S504, which are not limited here.

[0143] In the method provided in the embodiment of the present application, emergency input information for the second target water plant at the second moment is obtained, and the emergency input information includes: the time period to be adjusted and the daily water demand of the second target water plant in the time period to be adjusted, wherein the start time of the time period to be adjusted is the second moment, and the end time of the time period to be adjusted is the end time of the target month; based on the daily water demand in the time period to be adjusted, and the daily available water volume of multiple water sources in the time period to be adjusted, the average daily water intake of the second target water plant in multiple water sources in the time period to be adjusted is determined, and a multi-water source scheduling plan for the second target water plant in the time period to be adjusted is generated, so that a single-day scheduling plan can be generated in real time for emergency situations, so as to achieve timely response to emergencies.

[0144] The following is a corresponding explanation of the multi-water source scheduling scheme generating device and electronic device provided by any of the above embodiments of the present application. Its specific implementation process and the technical effects produced are the same as those of the corresponding method embodiments mentioned above. For the sake of brief description, the parts not mentioned in this embodiment can refer to the corresponding contents in the method embodiment.

[0145] Figure 8 This is a functional module diagram of a device for generating a multi-water source scheduling scheme provided in an embodiment of the present application. Figure 8 As shown, the multi-water source scheduling scheme generating device 100 includes:

[0146] An acquisition module 110 is used to obtain the historical monthly water supply of multiple water plants in the target month, the water supply-demand ratio, and the actual water supply in a preset time period before the first moment;

[0147] The acquisition module 110 is also used to obtain the daily available water volume of multiple water sources in the target month;

[0148] The prediction module 120 is used to predict the daily water demand of each water plant in the target month based on the historical monthly water supply of each water plant in the same period, the water supply-demand ratio and the actual water supply in a preset time period;

[0149] The prediction module 120 is further used to predict the average daily water intake of each water plant from multiple water sources in the target month based on the daily water demand of each water plant in the target month and the daily available water of multiple water sources in the target month;

[0150] The generation module 130 is used to generate a multi-water source scheduling plan for each water plant in a target month according to the average daily water intake.

[0151] Optionally, the prediction module 120 is also used to predict the monthly water supply of each water plant in the target month based on the historical monthly water supply of each water plant in the same period and the actual water supply in a preset time period; predict the daily water supply of each water plant in the target month based on the monthly water supply of each water plant in the target month; and predict the daily water demand of each water plant in the target month based on the daily water supply of each water plant in the target month and the water supply-demand ratio.

[0152] Optionally, the actual water supply in the preset time period includes: multiple actual daily water supplies in the preset time period; the prediction module 120 is also used to determine the historical average monthly water supply of each water plant in the target month based on the historical water supply of each water plant in the same period; predict multiple weekly water supplies in the target month based on multiple actual daily water supplies; predict the monthly water supply of each water plant in the target month based on the historical average monthly water supply and multiple weekly water supplies.

[0153] Optionally, the device further comprises:

[0154] The determination module is used to determine the daily available water volume of each water source in the target month based on the reservoir capacity, guaranteed reservoir capacity, daily water intake and the start time of the target month of each water source at the first moment.

[0155] Optionally, the prediction module 120 is also used to predict the average daily water intake of each water plant from multiple water sources in the target month based on a preset water supply relationship table between each water plant and multiple water sources, according to the daily water demand of each water plant in the target month, and the daily available water volume of multiple water sources in the target month.

[0156] Optionally, the prediction module 120 is also used to determine at least one first water source that supplies water to a first target water plant among multiple water plants based on a preset water supply relationship table; determine whether the daily available water volume of at least one first water source is greater than or equal to the daily water demand of the first target water plant in the target month; if the daily available water volume of at least one first water source is greater than or equal to the daily water demand of the first target water plant in the target month, then determine the average daily water intake of the first target water plant from at least one first water source in the target month based on the daily water demand of the first target water plant in the target month.

[0157] Optionally, the prediction module 120 is also used to determine at least one second water source that supplies water to the first target water plant according to a preset water supply relationship table if the daily available water volume of at least one first water source is less than the daily water demand of the first target water plant in the target month; determine whether the daily available water volume of at least one second water source is greater than or equal to the daily water demand of the first target water plant in the target month; if the daily available water volume of at least one second water source is greater than or equal to the daily water demand of the first target water plant in the target month, determine the average daily water intake of the first target water plant from at least one second water source in the target month according to the daily water demand of the first target water plant in the target month; if the sum of the daily available water volumes of at least one second water source is less than the water demand of the first target water plant in the target month, continue to determine the water source that supplies water to the first target water plant according to the preset water supply relationship table, until a target water source whose daily available water volume is greater than or equal to the water demand of the first target water plant in the target month is determined, and determine the average daily water intake of the first target water plant from the target water source in the target month.

[0158] Optionally, the prediction module 120 is also used to obtain emergency entry information for the second target water plant at the second moment, the emergency entry information including: the time period to be adjusted and the daily water demand of the second target water plant in the time period to be adjusted, wherein the start time of the time period to be adjusted is the second moment, and the end time of the time period to be adjusted is the end time of the target month; based on the daily water demand in the time period to be adjusted, and the daily available water volume of multiple water sources in the time period to be adjusted, determine the average daily water intake of the second target water plant in multiple water sources during the time period to be adjusted, and generate a multi-water source scheduling plan for the second target water plant during the time period to be adjusted.

[0159] The above-mentioned device is used to execute the method provided by the aforementioned embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0160] The above modules may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASICs), or one or more microprocessors, or one or more field programmable gate arrays (FPGAs). For another example, when a module is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0161] Fig. 9 Schematic diagram of a computer device provided in an embodiment of the present application, which can be used to generate a multi-water source scheduling plan. Fig. 9 As shown, the electronic device includes: a processor 210 , a storage medium 220 , and a bus 230 .

[0162] The storage medium 220 stores machine-readable instructions executable by the processor 210. When the computer device is running, the processor 210 communicates with the storage medium 220 via the bus 230, and the processor 210 executes the machine-readable instructions to perform the steps of the above method embodiment. The specific implementation method and technical effect are similar and will not be repeated here.

[0163] Optionally, the present application further provides a storage medium 220, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above method embodiment are executed. The specific implementation method and technical effect are similar and will not be repeated here.

[0164] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0165] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0166] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0167] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to perform some steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, abbreviated: ROM), random access memory (English: Random Access Memory, abbreviated: RAM), disk or optical disk and other media that can store program codes.

[0168] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for generating a multi-water source scheduling plan, characterized in that: The method comprises: Obtain the historical monthly water supply of multiple water plants in the target month, the water supply-demand ratio, and the actual water supply in the preset time period before the first moment; Obtain the daily available water volume of multiple water sources in the target month; Predict the daily water demand of each water plant in the target month based on the historical monthly water supply of each water plant in the same period, the water supply-demand ratio and the actual water supply in the preset time period; According to the daily water demand of each water plant in the target month and the daily available water of the multiple water sources in the target month, predict the daily average water intake of each water plant from the multiple water sources in the target month; A multi-water source dispatching plan for each water plant in the target month is generated based on the average daily water intake.

2. The method according to claim 1, characterized in that The predicting of the daily water demand of each water plant in the target month according to the historical monthly water supply of each water plant in the same period, the water supply-demand ratio and the actual water supply in the preset time period includes: Predicting the monthly water supply of each water plant in the target month based on the historical monthly water supply of each water plant in the same period and the actual water supply in the preset time period; Predicting the daily water supply of each water plant in the target month based on the monthly water supply of each water plant in the target month; The daily water demand of each water plant in the target month is predicted based on the daily water supply of each water plant in the target month and the water supply-demand ratio.

3. The method according to claim 2, characterized in that The actual water supply volume during the preset time period includes: a plurality of actual daily water supply volumes during the preset time period; The predicting of the monthly water supply of each water plant in the target month according to the historical monthly water supply of each water plant in the same period and the actual water supply of the preset time period includes: Determine the historical average monthly water supply of each water plant in the target month based on the historical water supply of each water plant in the same period; Predicting multiple weekly water supplies for the target month based on the multiple actual daily water supplies; The monthly water supply of each water plant in the target month is predicted based on the historical average monthly water supply during the same period and the multiple weekly water supplies.

4. The method according to claim 1, characterized in that Before obtaining the daily available water volume of multiple water sources in the target month, the method further includes: The daily available water volume of each water source in the target month is determined based on the reservoir capacity, guaranteed reservoir capacity, daily water intake volume of each water source at the first moment and the start time of the target month.

5. The method according to claim 1, characterized in that The method of predicting the average daily water intake of each water plant from the multiple water sources in the target month based on the daily water demand of each water plant in the target month and the daily available water of the multiple water sources in the target month includes: Based on the preset water supply relationship table between each water plant and the multiple water sources, according to the daily water demand of each water plant in the target month, and the daily available water volume of the multiple water sources in the target month, the average daily water intake of each water plant from the multiple water sources in the target month is predicted.

6. The method according to claim 5, characterized in that The method of predicting the average daily water intake of each water plant from the multiple water sources in the target month based on the preset water supply relationship table between each water plant and the multiple water sources, according to the daily water demand of each water plant in the target month and the daily available water of the multiple water sources in the target month, includes: Determining, according to the preset water supply relationship table, at least one first water source that supplies water to a first target water plant among the multiple water plants; Determine whether the daily available water volume of the at least one first water source is greater than or equal to the daily water demand of the first target water plant in the target month; If the daily available water volume of the at least one first water source is greater than or equal to the daily water demand of the first target water plant in the target month, the average daily water intake of the first target water plant from the at least one first water source in the target month is determined based on the daily water demand of the first target water plant in the target month.

7. The method according to claim 6, characterized in that The method further comprises: If the daily available water volume of the at least one first water source is less than the daily water demand of the first target water plant in the target month, then determining at least one second water source that supplies water to the first target water plant according to the preset water supply relationship table; Determine whether the daily available water volume of the at least one second water source is greater than or equal to the daily water demand of the first target water plant in the target month; If the daily available water volume of the at least one second water source is greater than or equal to the daily water demand of the first target water plant in the target month, then the average daily water intake of the first target water plant from the at least one second water source in the target month is determined according to the daily water demand of the first target water plant in the target month; If the sum of the daily available water volume of at least one second water source is less than the water demand of the first target water plant in the target month, continue to determine the water source that supplies water to the first target water plant according to the preset water supply relationship table, until a target water source whose daily available water volume is greater than or equal to the water demand of the first target water plant in the target month is determined, and the average daily water intake of the first target water plant at the target water source in the target month is determined.

8. The method according to claim 1, characterized in that The method further comprises: Acquire emergency input information for the second target water plant at the second moment, the emergency input information including: the time period to be adjusted and the daily water demand of the second target water plant in the time period to be adjusted, wherein the start time of the time period to be adjusted is the second moment, and the end time of the time period to be adjusted is the end time of the target month; Based on the daily water demand in the time period to be adjusted and the daily available water volume of the multiple water sources in the time period to be adjusted, the average daily water intake of the second target water plant from the multiple water sources in the time period to be adjusted is determined, and a multi-water source scheduling plan for the second target water plant in the time period to be adjusted is generated.

9. A device for generating a multi-water source scheduling plan, characterized in that: include: An acquisition module is used to obtain the historical monthly water supply of multiple water plants in the target month, the water supply-demand ratio, and the actual water supply in a preset time period before the first moment; The acquisition module is also used to obtain the daily available water volume of multiple water sources in the target month; A prediction module, used to predict the daily water demand of each water plant in the target month according to the historical monthly water supply of each water plant in the same period, the water supply-demand ratio and the actual water supply in the preset time period; The prediction module is further used to predict the average daily water intake of each water plant from the multiple water sources in the target month based on the daily water demand of each water plant in the target month and the daily available water of the multiple water sources in the target month; A generation module is used to generate a multi-water source scheduling plan for each water plant in the target month according to the average daily water intake.

10. A computer device, characterized in that: include: A processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor. When the computer device is running, the processor communicates with the storage medium via the bus, and the processor executes the program instructions to perform the steps of the method for generating a multi-water source scheduling plan as described in any one of claims 1 to 8.

Images