Water conservancy resource optimal configuration method based on big data

Abstract

The invention discloses a water conservancy resource optimal configuration method based on big data, and relates to the technical field of data processing methods, and the method comprises the steps: determining a water utilization network of a target region, carrying out the water utilization monitoring of each water utilization point in the water utilization network, and outputting the input water utilization information and the output water utilization information of each water utilization point. And performing water consumption evaluation according to the input water consumption information and the output water consumption information of each water consumption point to obtain multi-stage water consumption points. And inputting the input water consumption information and the output water consumption information of each water consumption point in the water consumption network into a water resource chain type supply identification model, performing path identification in the multi-stage water consumption points according to the water resource chain type supply identification model, and outputting a water resource supply path. And carrying out water resource scheduling on the water network according to the water resource supply path. The technical problems of unreasonable water resource allocation and imperfect water quality management caused by difficulty in multi-index comprehensive evaluation in a complex water network in a water resource management method in the prior art are solved.

Description

Technical Field

[0001] The present application relates to the technical field related to data processing methods, and specifically to a method for optimizing the allocation of water resources based on big data. Background Art

[0002] With the acceleration of industrialization and urbanization, the demand for water resources continues to increase, and the rational allocation and efficient use of water resources have become important issues that need to be addressed. Traditional water resources management methods often rely on static data and empirical rules, which are difficult to cope with the complex and changing water supply and demand conditions. However, existing methods still have problems such as insufficient data integration, single evaluation indicators, and low efficiency of path optimization in water use monitoring, water use assessment, and supply path identification, making it difficult to achieve comprehensive optimization of water resources and high-quality water supply.

[0003] Therefore, in the existing technology, it is difficult for water resources management methods to conduct comprehensive multi-indicator evaluation in complex water use networks, resulting in technical problems such as unreasonable water resources allocation and imperfect water quality management. Summary of the invention

[0004] This application provides a method for optimizing the allocation of water resources based on big data, which solves the technical problem that it is difficult for the existing water resource management method to conduct comprehensive evaluation of multiple indicators in a complex water use network, resulting in unreasonable water resource allocation and imperfect water quality management. Through multi-level water point evaluation and path optimization, efficient optimization of water resources and continuous improvement of water quality are achieved, and the overall water resource utilization efficiency and water supply quality are improved.

[0005] The present application provides a method for optimizing the allocation of water resources based on big data, the method comprising: determining a water use network in a target area, wherein each node in the water use network corresponds to a water use point; performing water use monitoring on each water use point in the water use network, and outputting input water use information and output water use information of each water use point; performing water use evaluation based on the input water use information and output water use information of each water use point, and obtaining multi-level water use points, wherein the multi-level water use points are obtained by dividing each water use point through multi-level indicator thresholds, and the water use quality of water use points at the same level is within the indicator threshold of the same level; inputting the input water use information and output water use information of each water use point in the water use network into a water resource chain supply identification model, performing path identification in the multi-level water use points according to the water resource chain supply identification model, and outputting a water resource supply path; and performing water resource scheduling on the water use network according to the water resource supply path.

[0006] In the implementation, the method also includes: connecting a filtering device to the target area; identifying a filtering energy efficiency index of the filtering device, wherein the filtering energy efficiency index is obtained by identifying the difference in water quality before and after filtering; updating the output water use information of each water use point according to the filtering energy efficiency index, including: obtaining water use data affected by the filtering energy efficiency index, correcting the water use data using the filtering energy efficiency index as a weight coefficient, and obtaining updated input water use information and output water use information; outputting an updated water resource supply path according to the updated input water use information and output water use information, wherein a water resource filtering node is provided between adjacent nodes in the updated water resource supply path.

[0007] In the implementation, water use evaluation is performed according to the input water use information and output water use information of each water use point to obtain multi-level water use points. The method includes: obtaining the input water quality and output water quality of each water use point according to the input water information and output water information of each water use point; outputting the water dissolved oxygen difference index, water pollution difference index and water COD difference index of each water use point according to the input water quality and output water quality of each water use node; performing weight calculation on each water use point according to the water dissolved oxygen difference index, water pollution difference index and water COD difference index, and outputting the water pollution index of each water use point, wherein the weight calculation includes obtaining the first weight, the second weight and the third weight corresponding to the water dissolved oxygen difference index, the water pollution difference index and the water COD difference index, and summing the water dissolved oxygen difference index and the water pollution difference index with the first weight, the second weight and the third weight; setting a multi-level index threshold, dividing the water pollution index according to the multi-level index threshold, and outputting the multi-level water use node.

[0008] In the implementation method, after outputting the water pollution index of each water use point, N water use points whose water pollution index is greater than the preset water pollution index are obtained, and the N water use points are independently marked as water resources supply points, where N is a positive integer; the N water use points are deleted, and the multi-level water use nodes are updated.

[0009] In the implementation, path identification is performed in the multi-level water use points according to the water resource chain supply identification model, and the water resource supply path is output. The method includes: obtaining a first-level water use point, a second-level water use point, ... an M-th level water use point, wherein M is the number of the multi-level water use points; obtaining an initial water use point of the first-level water use point; matching the second-level water use point based on the initial water use point of the first-level water use point to obtain a matching water use node of the second-level water use point; chain marking the initial water use point of the first-level water use point and the matching water use node of the second-level water use point, and so on, until the matching water use node of the M-th level water use point is obtained, and a water resource supply path is generated according to the initial water use point and M-1 matching water use nodes.

[0010] In the implementation method, matching two adjacent levels of water use points includes a first constraint condition; the first constraint condition is that the input water quality and input water volume of the matching water use node of the second level water use point are less than or equal to the output water quality and output water volume of the initial water use point.

[0011] In the implementation, the method also includes: obtaining the water resource transportation cost of adjacent water use nodes; calculating the comprehensive water resource transportation cost of the water resource supply path based on the water resource transportation cost of the adjacent water use nodes; if the comprehensive water resource transportation cost is greater than the comprehensive preset water resource transportation cost, taking the preset water resource transportation cost as the target, performing path optimization in the multi-level water use points and updating the water resource supply path.

[0012] In the implementation, the path optimization is performed in the multi-level water use points with the preset water resource transmission cost as the target, and the method includes: obtaining a water use node whose water resource transmission cost is greater than the preset water resource transmission cost, and marking the water use node as a water use node to be optimized; locating the water use point level to which the water use node to be optimized belongs, and obtaining candidate nodes with a water resource transmission cost less than or equal to the preset water resource transmission cost in the water use point level according to the water resource chain supply identification model, and recalculating the comprehensive water resource transmission cost until an alternative water use node with a water resource transmission cost less than or equal to the comprehensive preset water resource transmission cost is obtained, and the water resource supply path is updated according to the alternative water use node. The present application proposes a method for optimizing the allocation of water resources based on big data, by determining the water use network of the target area, wherein each node in the water use network corresponds to a water use point; monitoring the water use of each water use point in the water use network, and outputting the input water use information and output water use information of each water use point; evaluating the water use according to the input water use information and output water use information of each water use point, and obtaining multi-level water use points, wherein the multi-level water use points are divided and obtained by multi-level index thresholds, and the water use quality of water use points at the same level is within the same level index threshold; inputting the input water use information and output water use information of each water use point in the water use network into the water resource chain supply identification model, performing path identification in the multi-level water use points according to the water resource chain supply identification model, and outputting the water resource supply path; and scheduling the water resources of the water use network according to the water resource supply path. The method solves the technical problem that the water resource management method in the prior art is difficult to conduct multi-index comprehensive evaluation in a complex water use network, resulting in unreasonable water resource allocation and imperfect water quality management. Through multi-level water use point assessment and path optimization, efficient and optimal allocation of water resources and continuous improvement of water quality are achieved, which improves the overall water resource utilization efficiency and the technical effect of water supply quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0014] Figure 1 A schematic diagram of a flow chart of a method for optimizing water resources allocation based on big data provided in an embodiment of the present application; Figure 2 A schematic diagram of the process of obtaining multi-level water use points in a method for optimizing water resource allocation based on big data provided in an embodiment of the present application. DETAILED DESCRIPTION

[0015] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0016] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0017] The present application embodiment provides a method for optimizing water resources allocation based on big data, such as Figure 1 As shown, the method includes: Determine a water use network of a target area, wherein each node in the water use network corresponds to a water use point; perform water use monitoring on each water use point in the water use network, and output input water use information and output water use information of each water use point; perform water use evaluation according to the input water use information and output water use information of each water use point, and obtain multi-level water use points, wherein the multi-level water use points are obtained by dividing each water use point through a multi-level indicator threshold, and the water use quality of the water use points at the same level is within the indicator threshold of the same level; Determine the water use network of the target area, which is a complex network formed by abstracting all water-related nodes (such as industrial users, agricultural water points, domestic water communities, etc.) in the area where water resources optimization allocation needs to be performed as nodes, and using pipelines (water channels, pipeline networks) as connections. Each node in the water use network corresponds to a water use point. Subsequently, water use is monitored for each water use point in the water use network, and the water input and water output of each water use point are obtained. The water input is the water use of the corresponding node, and the water output is the actual drainage of the corresponding node. At the same time, the input water quality and output water quality of each node are monitored, and the input water information and output water information of each water use point are output. The water use information includes the input and output water use at each node and the corresponding quality data. When the input and output water quality data are obtained, the water dissolved oxygen index, water pollution index and water COD index are obtained by performing standardized detection on the input and output water quality at the node, and the corresponding water quality data is obtained and recorded according to the detection results. Furthermore, water use assessment is performed based on the input water use information and output water use information of each water use point to obtain multi-level water use points. Water pollution index threshold ranges correspond to water use points of different levels, and the multi-level water use points are obtained by dividing each water use point through multi-level index thresholds. The water use quality of water use points at the same level is within the index threshold range of the same level.

[0018] like Figure 2 As shown, the method provided in the embodiment of the present application also includes: obtaining the input water quality and output water quality of each water use point according to the input water information and output water information of each water use point; outputting the water dissolved oxygen difference index, water pollution difference index and water COD difference index of each water use point according to the input water quality and output water quality of each water use node; performing weight calculation on each water use point according to the water dissolved oxygen difference index, water pollution difference index and water COD difference index, and outputting the water pollution index of each water use point, wherein the weight calculation includes obtaining the first weight, the second weight and the third weight corresponding to the water dissolved oxygen difference index, the water pollution difference index and the water COD difference index, and adding and calculating the water dissolved oxygen difference index and the water pollution difference index with the first weight, the second weight and the third weight; setting a multi-level indicator threshold, dividing the water pollution index according to the multi-level indicator threshold, and outputting a multi-level water use node.

[0019] Water use assessment is performed based on the input water use information and output water use information of each water use point to obtain multi-level water use points. The method includes: obtaining the input water quality and output water quality of each water use point based on the input water use information and output water use information of each water use point. Among them, the input water quality and the output water quality include water dissolved oxygen index, water pollution index and water COD index. According to the input water quality and the output water quality of each water use node, the index difference is calculated, and the water dissolved oxygen difference index, water pollution difference index and water COD difference index of each water use point are output. Among them, the water dissolved oxygen difference index is the ratio of the calculation result of the dissolved oxygen value in the input water minus the dissolved oxygen value in the output water to the dissolved oxygen value in the input water. The water pollution difference index is the difference between the pollutant concentration in the input water and the pollutant concentration in the output water. The water COD difference index is the difference between the chemical oxygen demand in the input water and the chemical oxygen demand in the output water. Finally, the weights of each water use point are calculated according to the water dissolved oxygen difference index, water pollution difference index and water COD difference index, and the water pollution index of each water use point is output, wherein the weights of the water dissolved oxygen difference index, water pollution difference index and water COD difference index are set based on the actual preference requirements, and the water dissolved oxygen difference index, water pollution difference index and water COD difference index correspond to the first weight, the second weight and the third weight, the absolute value sum of the weights of the first weight, the second weight and the third weight is 1, the water dissolved oxygen difference index is positive, and the weight values ​​of the water pollution difference index and the water COD difference index are negative. According to the weighted summation results of the water dissolved oxygen difference index, the water pollution difference index and the water COD difference index, the water pollution index of each water use point is output. When the calculation parameter is lower, the corresponding water pollution is more serious, and vice versa, the water quality is improved. Finally, a multi-level indicator threshold of the water pollution index is set, each level corresponds to a water pollution index threshold interval, the water pollution index is divided according to the multi-level indicator threshold, and the multi-level water use node is output.

[0020] After outputting the water pollution index of each water use point, obtain N water use points whose water pollution index is greater than the preset water pollution index. The preset water pollution index is the maximum water pollution index set in advance. When it is greater than this index, the pollution to the water body is more serious, and separate water supply is required, and it cannot participate in the chain water supply. By marking the N water use points with independent water resource supply, where N is a positive integer, delete the N water use points and update the multi-level water use nodes.

[0021] The input water use information and output water use information of each water use point in the water use network are input into a water resource chain supply identification model, path identification is performed in the multi-level water use points according to the water resource chain supply identification model, and a water resource supply path is output; water resources are scheduled for the water use network according to the water resource supply path.

[0022] The input water use information and output water use information of each water use point in the water use network are input into the water resource chain supply identification model, and the path of the water use node is identified in the multi-level water use points according to the water resource chain supply identification model, and the water resource supply path is output. The water resource chain supply identification model matches the two adjacent water use points according to the input water use information and output water use information of each water use point, and generates a water resource supply path according to the matching result. Finally, the water resource is dispatched for the water use network according to the water resource supply path. The technical problem that the water resource management method in the prior art is difficult to conduct a comprehensive evaluation of multiple indicators in a complex water use network, resulting in unreasonable water resource allocation and imperfect water quality management is solved. Through multi-level water use point evaluation and path optimization, efficient and optimal allocation of water resources and continuous improvement of water quality are achieved, and the technical effect of improving the overall water resource utilization efficiency and water supply quality is improved.

[0023] The method provided in the embodiment of the present application also includes: obtaining a first-level water use point, a second-level water use point, ... an M-th level water use point, where M is the number of the multiple levels of water use points; obtaining an initial water use point of the first-level water use point; matching the second-level water use point based on the initial water use point of the first-level water use point to obtain a matching water use node of the second-level water use point; chain marking the initial water use point of the first-level water use point and the matching water use node of the second-level water use point, and so on, until the matching water use node of the M-th level water use point is obtained, and a water resource supply path is generated based on the initial water use point and M-1 matching water use nodes.

[0024] According to the water resource chain supply identification model, path identification is performed in the multi-level water use points, and the water resource supply path is output. The method includes: the water resource chain supply identification model obtains the first-level water use point, the second-level water use point, ... the M-th level water use point, wherein M is the number of levels of the multi-level water use points, and each level of water use point contains one or more water use nodes. The higher the level, the worse the water quality input and output of the corresponding water use node. Subsequently, the initial water use point of the first-level water use point is obtained, and the initial water use point of the first-level water use point is the water use point in the first-level water use point that is located in the water use network close to the water supply node. Based on the initial water use point of the first-level water use point, matching is performed at the second-level water use point, and the water use point corresponding to the initial water use point of the first-level water use point at the second-level water use point is obtained, and the matching water use node of the second-level water use point is obtained. Subsequently, the initial water point of the first-level water point and the matching water point of the second-level water point are chain-marked, so that the initial water point of the first-level water point and the matching water point of the second-level water point are chain-bound, and the same matching method is used to perform matching of other water points in the first-level water point, and so on, until the matching water point of the M-th level water point is obtained, and the chain marking of all remaining levels of water points is completed. Finally, the water resource supply path is generated based on the initial water point and M-1 matching water nodes.

[0025] The method provided in the embodiment of the present application also includes: the first constraint condition is that the input water quality and input water volume of the matching water node of the second-level water point are both less than or equal to the output water quality and output water volume of the initial water point. Specifically, the matching of two adjacent levels of water points includes the first constraint condition; wherein, the first constraint condition is that the input water quality and input water volume of the matching water node of the second-level water point are both less than or equal to the output water quality and output water volume of the initial water point. The matching of two adjacent levels of water points also includes the second constraint condition, the third constraint condition, and up to the M-1 constraint condition. The second constraint condition is that the input water quality and input water volume of the matching water node of the third-level water point are both less than or equal to the output water quality and output water volume of the second-level water point.

[0026] The method provided in the embodiment of the present application also includes: obtaining the water resource delivery cost of adjacent water use nodes; calculating the comprehensive water resource delivery cost of the water resource supply path according to the water resource delivery cost of the adjacent water use nodes; if the comprehensive water resource delivery cost is greater than the comprehensive preset water resource delivery cost, taking the preset water resource delivery cost as the target, performing path optimization in the multi-level water use points, and updating the water resource supply path. Obtain the water resource delivery cost of the adjacent water use nodes, the water resource delivery cost of the adjacent water use nodes is the comprehensive cost required to deliver a certain amount of water resources from the higher level water use point to the adjacent lower level water use point, including: energy cost is the electric energy or other energy consumed by the water pump to pressurize and raise the water level. Pipeline maintenance cost is the cost of regular cleaning, maintenance and overhaul that may be required for water flow through the water supply network. Distance and terrain cost is that the water delivery path with longer distance and higher terrain usually has higher cost. Professional and technical personnel obtain the water resource delivery cost of the adjacent water use nodes of each node after calculating the above costs. Subsequently, according to the water resource delivery cost of the adjacent water use nodes, the sum of the water resource delivery costs of each adjacent water use node in the water resource supply path is obtained to obtain the comprehensive water resource delivery cost. After obtaining the comprehensive water resource delivery cost, it is determined whether the comprehensive water resource delivery cost is greater than the comprehensive preset water resource delivery cost. The comprehensive preset water resource delivery cost is a preset water resource optimization configuration cost limit. If the comprehensive water resource delivery cost is greater than the comprehensive preset water resource delivery cost, the preset water resource delivery cost is used as a target to perform path optimization in the multi-level water use points, obtain a water resource supply path that meets the requirements, and update the water resource supply path.

[0027] The method provided in the embodiment of the present application also includes: obtaining a water use node whose water resource transmission cost is greater than the preset water resource transmission cost, and identifying the water use node as a water use node to be optimized; locating the water use point level to which the water use node to be optimized belongs, and obtaining a candidate node with a water resource transmission cost less than or equal to the preset water resource transmission cost in the water use point level according to the water resource chain supply identification model, and recalculating the comprehensive water resource transmission cost until an alternative water use node with a water resource transmission cost less than or equal to the comprehensive preset water resource transmission cost is obtained, and the water resource supply path is updated according to the alternative water use node.

[0028] The method of performing path optimization in the multi-level water use points with the preset water resource delivery cost as the target includes: when the comprehensive delivery cost of a water resource supply path exceeds the preset water resource delivery cost target, it is necessary to find the nodes on the path that cause the excess. These nodes may cause the overall path cost to rise due to geographical location, pipeline maintenance costs, excessive energy consumption or excessive water quality maintenance costs. By obtaining the water use nodes in the water resource supply path whose water resource delivery cost is greater than the preset water resource delivery cost, the water use nodes are identified as water use nodes to be optimized. The preset water resource delivery cost is the maximum cost of water resource delivery for adjacent level nodes. The water use point level to which the water use node to be optimized belongs is located, that is, the water use point level corresponding to the water use node to be optimized is located. According to the water resource chain supply identification model, a candidate node with a cost less than or equal to the preset water resource delivery cost is obtained in the water use point level to which it belongs, and the comprehensive water resource delivery cost is recalculated until an alternative water use node with a cost less than or equal to the comprehensive preset water resource delivery cost is obtained, and the water resource supply path is updated according to the alternative water use node.

[0029] The method provided in the embodiment of the present application also includes: connecting a filtering device to the target area; identifying a filtering energy efficiency index of the filtering device, wherein the filtering energy efficiency index is obtained by identifying the difference in water quality before and after filtering; updating the output water use information of each water use point according to the filtering energy efficiency index, including: obtaining water use data affected by the filtering energy efficiency index, correcting the water use data with the filtering energy efficiency index as a weight coefficient, and obtaining updated input water use information and output water use information; outputting an updated water resource supply path according to the updated input water use information and output water use information, wherein a water resource filtering node is provided between adjacent nodes in the updated water resource supply path.

[0030] A filtering device connected to the target area is arranged between each adjacent node. By identifying the filtering energy efficiency index of the filtering device, the filtering energy efficiency index is obtained by identifying the difference in water quality before and after filtering, and by calculating the difference in water quality before and after filtering, the percentage of the remaining specific pollutants of the filtering device after purifying the water quality is obtained, and the filtering energy efficiency index is obtained. Subsequently, the output water use information of each water use point is updated according to the filtering energy efficiency index, including: obtaining the water use data affected by the filtering energy efficiency index, multiplying the corresponding water use data with the filtering energy efficiency index as a weight coefficient to perform the correction of the water use data, obtaining the calculation result, obtaining the corrected water use data, obtaining the updated input water use information and the output water use information, so as to obtain the input water use information updated at the next level. Pollution compensation is performed on the updated input water use information according to the dissolved oxygen difference index, water pollution difference index and water COD difference index corresponding to the input water use information updated at the next level, and the difference index is compensated to the updated input water use information, so as to obtain the updated output water use information. Further, according to the updated input water use information and output water use information, supply path acquisition is performed through the water resource chain supply identification model, and an updated water resource supply path is output, wherein water resource filtering nodes are set between adjacent nodes in the updated water resource supply path.

[0031] The technical solution provided by the embodiment of the present invention determines the water use network of the target area, monitors the water use of each water use point in the water use network, and outputs the input water use information and output water use information of each water use point. Water use evaluation is performed based on the input water use information and output water use information of each water use point to obtain multi-level water use points. The input water use information and output water use information of each water use point in the water use network are input into the water resource chain supply identification model, and the path identification is performed in the multi-level water use points according to the water resource chain supply identification model, and the water resource supply path is output. Water resources are dispatched for the water use network according to the water resource supply path. The technical problem that the water resource management method in the prior art is difficult to perform a comprehensive evaluation of multiple indicators in a complex water use network, resulting in unreasonable water resource allocation and imperfect water quality management, is solved. Through multi-level water use point evaluation and path optimization, efficient and optimal allocation of water resources and continuous improvement of water quality are achieved, and the technical effect of improving the overall water resource utilization efficiency and water supply quality is improved.

[0032] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for optimizing water resources allocation based on big data, characterized in that: The method comprises: Determine a water use network for a target area, wherein each node in the water use network corresponds to a water use point; Monitor water use at each water use point in the water use network, and output input water use information and output water use information of each water use point; Water use evaluation is performed according to the input water use information and the output water use information of each water use point to obtain multi-level water use points, wherein the multi-level water use points are obtained by dividing each water use point according to a multi-level indicator threshold, and the water use quality of the water use points at the same level is within the indicator threshold of the same level; Inputting the input water use information and the output water use information of each water use point in the water use network into a water resource chain supply identification model, performing path identification in the multi-level water use points according to the water resource chain supply identification model, and outputting a water resource supply path; Water resources are dispatched on the water use network according to the water resources supply path.

2. The method according to claim 1, characterized in that After outputting the water resource supply path, the method further includes: A filtering device connected to the target area; Identifying a filtration energy efficiency index of the filtration device, wherein the filtration energy efficiency index is obtained by identifying the difference in water quality before and after filtration; The output water use information of each water use point is updated according to the filtering energy efficiency index, including: obtaining water use data affected by the filtering energy efficiency index, correcting the water use data with the filtering energy efficiency index as a weight coefficient, and obtaining updated input water use information and output water use information; An updated water resource supply path is output according to the updated input water use information and the output water use information, wherein water resource filtering nodes are arranged between adjacent nodes in the updated water resource supply path.

3. The method according to claim 1, characterized in that Water use evaluation is performed based on the input water use information and output water use information of each water use point to obtain multi-level water use points. The method includes: According to the input water use information and output water use information of each water use point, the input water quality and output water quality of each water use point are obtained; According to the input water quality and output water quality of each water use node, the water dissolved oxygen difference index, water pollution difference index and water COD difference index of each water use point are output; According to the water dissolved oxygen difference index, the water pollution difference index and the water COD difference index, weight calculation is performed on each water use point, and the water pollution index of each water use point is output, wherein the weight calculation includes obtaining the first weight, the second weight and the third weight corresponding to the water dissolved oxygen difference index, the water pollution difference index and the water COD difference index, and summing the water dissolved oxygen difference index and the water pollution difference index with the first weight, the second weight and the third weight; A multi-level indicator threshold is set, the water use pollution indicator is divided according to the multi-level indicator threshold, and a multi-level water use node is output.

4. The method according to claim 3, characterized in that After outputting the water pollution index of each water use point, N water use points whose water pollution index is greater than the preset water pollution index are obtained, and independent water resource supply identification is performed on the N water use points, where N is a positive integer; The N water use points are deleted, and the multi-level water use nodes are updated.

5. The method according to claim 1, characterized in that Path identification is performed in the multi-level water use points according to the water resource chain supply identification model, and a water resource supply path is output, the method comprising: Obtaining a first-level water use point, a second-level water use point, ... an M-th-level water use point, where M is the number of the multiple-level water use points; Obtaining the initial water use point of the first-level water use point; Based on the initial water use point of the first-level water use point, the water use point of the second-level water use point is matched to obtain a matching water use node of the second-level water use point; The initial water use point of the first-level water use point and the matching water use node of the second-level water use point are chain-marked, and so on, until the matching water use node of the M-th-level water use point is obtained, and a water resource supply path is generated according to the initial water use point and M-1 matching water use nodes.

6. The method according to claim 5, characterized in that The matching of two adjacent water use points includes the first constraint condition; The first constraint condition is that the input water quality and input water volume of the matching water use node of the second-level water use point are both less than or equal to the output water quality and output water volume of the initial water use point.

7. The method according to claim 5, characterized in that The method further comprises: Obtain the water resource transportation cost of adjacent water-using nodes; Calculating the comprehensive water resource delivery cost of the water resource supply path according to the water resource delivery cost of the adjacent water use nodes; If the comprehensive water resource delivery cost is greater than the comprehensive preset water resource delivery cost, the preset water resource delivery cost is used as a target to perform path optimization in the multi-level water use points to update the water resource supply path.

8. The method according to claim 7, characterized in that The method of performing path optimization in the multi-level water use points with the preset water resource delivery cost as the target includes: Acquire a water-using node whose water resource transmission cost is greater than the preset water resource transmission cost, and mark the water-using node as a water-using node to be optimized; Locate the water use point level to which the water use node to be optimized belongs, obtain candidate nodes with a cost less than or equal to the preset water resource transmission cost in the water use point level according to the water resource chain supply identification model, and recalculate the comprehensive water resource transmission cost until an alternative water use node with a cost less than or equal to the comprehensive preset water resource transmission cost is obtained, and update the water resource supply path according to the alternative water use node.

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