A method and system for generating an urban drainage pipe network based on remote sensing images

Abstract

The present invention belongs to the technical field of urban drainage network generation, and discloses a method and system for generating an urban drainage network based on remote sensing images, including: obtaining multi-source information of a target area; using a drainage network visual model to identify the satellite remote sensing image to obtain a network topology structure diagram of the drainage network; wherein, the vertices in the network topology structure diagram of the drainage network represent well points in the drainage network, and the edges represent pipelines connected between the well points; associating the multi-source information and the network topology structure diagram through geographical coordinates, and storing the associated multi-source information and network topology structure diagram in a GIS database; calculating the pipe crown cover depth, slope and diameter of each pipeline in the network topology structure diagram, and storing the calculation results in the GIS database as the attribute information of the corresponding pipeline, thereby completing the generation of the drainage network. The present invention realizes the rapid, efficient and low-cost acquisition of the layout and attributes of the drainage network.

Description

Technical Field

[0001] The present invention belongs to the technical field of urban drainage pipe network generation, and more specifically, relates to a method and system for generating an urban drainage pipe network based on remote sensing images. Background Art

[0002] As a key facility supporting the operation of modern cities, the spatial layout and attribute information of urban underground drainage systems are crucial to flood control, ecological environment protection, and urban construction and development.

[0003] Currently, the main technical means of obtaining information on the layout and attributes of urban drainage networks include field surveys, reviewing historical planning data, and model inversion, but these methods all have flaws. While field surveys can provide accurate data, they are affected by weather and pipeline conditions, resulting in long data collection cycles, high costs, and low efficiency. Reviewing planning data is difficult to reflect the actual network conditions due to delayed data updates and incomplete information. Model inversion technology relies on idealized conditions and ignores actual building density and construction changes, resulting in significant differences between simulation results and actual layouts, failing to meet engineering precision requirements. Therefore, how to efficiently, accurately, and cost-effectively obtain drainage network information has become a technical problem that the industry urgently needs to solve. Summary of the Invention

[0004] In response to the above defects or improvement needs of the existing technology, the present invention provides a method and system for generating urban drainage network based on remote sensing images, which aims to improve the efficiency and quality of urban drainage network information acquisition and reduce the acquisition cost.

[0005] To achieve the above objectives, the present invention provides a method for generating an urban drainage network based on remote sensing images, comprising:

[0006] Obtain multi-dimensional information on the target area, including: satellite remote sensing images, geographic elevation information, soil information, building information, rainfall information, and population density, comprehensive domestic sewage quota, and designed industrial wastewater volume for each sub-area of the target area;

[0007] The satellite remote sensing image is recognized using a drainage network visual model to obtain a network topology diagram of the drainage network; wherein vertices in the network topology diagram of the drainage network represent well points in the drainage network, and edges represent pipelines connected between the well points;

[0008] Associating the multivariate information with the network topology diagram through geographic coordinates, and storing the associated multivariate information and network topology diagram in a GIS database;

[0009] Calculate the topsoil cover depth, slope, and diameter of each pipeline in the network topology structure diagram, and store the calculation results in the GIS database as the attribute information of the corresponding pipeline to complete the generation of the drainage pipe network.

[0010] Further, the visual model of the drainage pipe network includes:

[0011] An image encoder for obtaining the feature map of the satellite remote sensing image;

[0012] A geometric decoder for predicting the probability of the existence of manhole covers in each pixel of the feature map to obtain a probability map, and performing non-maximum suppression processing on the probability map to obtain the central positions of the manhole covers in the satellite remote sensing image; where the central positions of all manhole covers form the vertex set V in the network topology structure diagram;

[0013] A topology decoder for traversing all vertices in the vertex set V to generate the edge set E in the network topology structure diagram, specifically including: calculating the connection probability between each vertex and the vertices within a given radius; taking the average of all connection probabilities between two vertices A and B as the probability value of the existence of an edge between vertices A and B; if the probability value is greater than a preset threshold, it is considered that there is an edge between vertices A and B to obtain the set E of all edges; where the vertex set V and the set E of edges corresponding to the vertices form the network topology structure diagram.

[0014] Further, performing non-maximum suppression on the probability map to obtain the central positions of the manhole covers in the satellite remote sensing image includes:

[0015] Discarding the pixels in the probability map that are lower than the probability threshold to obtain a processed probability map;

[0016] Within the non-maximum suppression radius of each pixel in the processed probability map, discarding all pixels except the pixel with the maximum probability, and the positions of the remaining pixels are used as the central positions of the manhole covers in the satellite remote sensing image.

[0017] Further, the diameter of each pipeline is determined by the topsoil cover depth, slope of each pipeline, and the design flow rate of each pipeline; where the calculation method of the design flow rate of each pipeline is:

[0018] Calculate the average design flow rate of domestic sewage by using the population density of each sub-region in the target area and the comprehensive domestic sewage quota; draw a buffer zone of the pipeline according to the network topology structure diagram, and use the total building area intersecting with the buffer zone as the building service area of each pipeline;

[0019] Determine the sewage design flow rate of each pipeline using the average designed flow rate of domestic sewage of residents, the building service area of each pipeline, and the designed industrial wastewater volume; use the sewage design flow rate of each pipeline as the design flow rate of each pipeline.

[0020] Further, the design flow rate of each pipeline further includes the rainwater design flow rate of each pipeline. Superimpose the rainwater design flow rate of each pipeline and the sewage design flow rate of each pipeline correspondingly as the design flow rate of the corresponding pipeline; wherein, the calculation method of the rainwater design flow rate of each pipeline is as follows:

[0021] Use GIS to draw the catchment area of each well point based on the pipe point and the geographical elevation information to obtain the catchment area of each well point catchment area; use the rainfall information of the target area to obtain the corresponding runoff per unit area, and multiply it by the catchment area to obtain the rainwater design flow rate of each pipeline.

[0022] Further, the buried depth of the pipe top of each pipeline and the slope of each pipeline are determined by the geographical elevation information and the soil information.

[0023] The present invention also provides a system for generating an urban drainage pipe network based on remote sensing images, including:

[0024] A data acquisition module for acquiring multivariate information of the target area, including: satellite remote sensing images, geographical elevation information, soil information, building information, rainfall information, and the population density, comprehensive domestic sewage quota, and designed industrial wastewater volume of each sub-region of the target area;

[0025] An identification module for identifying the satellite remote sensing image with a drainage pipe network visual model to obtain a network topology structure diagram of the drainage pipe network; wherein, the vertices in the network topology structure diagram of the drainage pipe network represent the well points in the drainage pipe network, and the edges represent the pipelines connected between the well points;

[0026] A storage module for associating the multivariate information and the network topology structure diagram through geographical coordinates, and storing the associated multivariate information and network topology structure diagram in a GIS database;

[0027] A calculation module for calculating the buried depth of the pipe top, slope, and diameter of each pipeline in the network topology structure diagram, and storing the calculation results in the GIS database as the attribute information of the corresponding pipeline to complete the generation of the drainage pipe network.

[0028] The present invention also provides an electronic device, including a computer-readable storage medium and a processor;

[0029] The computer-readable storage medium is used to store executable instructions;

[0030] The processor is configured to read the executable instructions stored in the computer-readable storage medium and execute the method according to any one of the above.

[0031] The present invention also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the method according to any one of the above is implemented.

[0032] The present invention also provides a computer program product, including a computer program. When the computer program runs on a computer, the computer is caused to execute the method according to any one of the above.

[0033] Generally speaking, through the above technical solutions conceived by the present invention, the following beneficial effects can be achieved:

[0034] (1) In the method for generating an urban drainage pipe network based on remote sensing images of the present invention, by using high-resolution remote sensing images to extract the topological structure information of the drainage pipe network under the urban surface, and then associating multi-source information including satellite remote sensing images, geographical elevation information, soil information, building information, rainfall information, and the population density, comprehensive domestic sewage quota, and designed industrial wastewater volume of each sub-region of the target area with the topological structure information of the drainage pipe network through geographical coordinates. Attribute information such as the top cover soil depth, slope, and diameter of the pipeline is added to the associated two-dimensional map data to form three-dimensional data, which is stored in the GIS database, realizing the rapid and accurate identification of the layout and attributes of the drainage pipe network. The method of the present invention does not require on-site detection, improves the rapid acquisition of drainage pipe network information, and has a low cost; moreover, obtaining the actual topological structure and rich multi-source information of the drainage pipe network based on high-resolution remote sensing images improves the accuracy of drainage pipe network information acquisition.

[0035] (2) Preferably, considering that the features of manhole covers can be relatively accurately extracted from high-resolution remote sensing images, while the pipelines are laid underground, the visual model of the drainage pipe network constructed in the present invention predicts the probability of the existence of manhole covers in each pixel of the remote sensing image feature map through the designed geometric decoder. After non-maximum suppression processing, the precise central positions of all manhole covers are obtained. The central positions of all manhole covers constitute the vertex set V in the network topology structure diagram of the drainage pipe network, and this vertex set represents the positions of the well points in the drainage pipe network. Based on the precise positions of the determined well points, the designed topological decoder is used to determine whether there is a pipeline connection relationship between the well points, and then the precise network topology structure diagram of the predicted drainage pipe network is obtained.

[0036] (3) Preferably, when calculating the diameters of each pipeline, not only the designed sewage flow rate of each pipeline is considered, but also the designed rainfall flow rate is considered, making the calculated attribute information more comprehensive and accurate.

[0037] In summary, the method of the present invention extracts the information of the drainage pipe network under the urban surface by using high-resolution remote sensing images, and combines with the Geographic Information System (GIS) technology to achieve the rapid and accurate identification of the layout and attributes of the drainage pipe network. The present invention improves the efficiency and quality of obtaining drainage pipe network information, and provides a strong technical guarantee for the scientific planning and efficient operation of the urban drainage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A method for generating an urban drainage pipe network based on remote sensing images in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0039] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0040] Embodiment 1

[0041] As Figure 1 shown, the method for generating an urban drainage pipe network based on remote sensing images provided by the embodiment of the present invention mainly includes:

[0042] S1. Obtain the multi-source information of the target area, including: satellite remote sensing images, geographic elevation information, soil information, building information, rainfall information, and the population density, comprehensive domestic sewage quota, and designed industrial wastewater volume of each sub-area of the target area; wherein, the soil information includes the frost depth, type, etc. of the soil; the building information includes the area and boundary contour of the building; the rainfall information includes rainfall amount, rainfall intensity, and rainfall distribution; the satellite remote sensing image in the embodiment of the present invention is a high-resolution optical remote sensing image or a synthetic aperture radar image.

[0043] S2. Identify the satellite remote sensing image of the target area with a drainage pipe network visual model to obtain a network topology structure diagram of the drainage pipe network; wherein, the vertices in the network topology structure diagram of the drainage pipe network represent the well points in the drainage pipe network, and the edges represent the pipelines connecting the well points.

[0044] S3. Associate the multi-source information of the target area with the network topology structure diagram of the drainage pipe network through geographical coordinates, that is, associate the multi-source information with the well points or pipelines with the same geographical coordinates, and store the associated multi-source information and network topology structure diagram in the GIS database to achieve unified management and rapid query of the data.

[0045] S4. Calculate the topsoil cover depth, slope of each pipeline, and the diameter of each pipeline in the network topology structure diagram using the multi-source information of the target area, and store the calculation results in the GIS database as the attribute information of the corresponding pipeline to complete the generation of the drainage network.

[0046] As a preferred implementation, in S2, the constructed visual model of the drainage network includes: an image encoder, a geometry decoder, and a topology decoder.

[0047] The image encoder is used to obtain the feature map of the satellite remote sensing image.

[0048] The geometry decoder is used to predict the probability of the existence of manhole covers in each pixel of the feature map to obtain a probability map; and perform non-maximum suppression processing on the probability map to obtain the central positions of the manhole covers in the satellite remote sensing image; the central positions of all manhole covers constitute the vertex set V{v i ∈R 2} of the network topology structure diagram of the drainage network, where v i represents the central position of the i-th manhole cover.

[0049] The topology decoder is used to traverse all vertices in the vertex set V to generate the edge set E in the network topology structure diagram, specifically including: for each vertex, calculate the connection probability between each vertex and the vertices within a given radius; take the average of all connection probabilities between two vertices A and B as the probability value of the existence of an edge between vertices A and B; for example, for vertex A, the connection probability between it and vertex B within the given radius is 0.6, and for vertex B, the connection probability between it and vertex A within the given radius is 0.2, then the probability of the existence of an edge between vertices A and B is 0.4; if the probability value is greater than the preset threshold, it is considered that there is an edge between vertices A and B, that is, there is a connection relationship between vertices A and B, and so on to obtain all the edge sets E.

[0050] Based on the graph vertex set V and the edge set E, the network topology structure diagram of the predicted drainage network is obtained. The vertex set V is the set of well points in the drainage network; the edge set E reflects the connection relationship between well points, that is, the pipelines connecting well points, and well points are connected by pipelines.

[0051] As a preferred implementation, performing non-maximum suppression processing on the probability map to obtain the central positions of the manhole covers in the satellite remote sensing image includes:

[0052] Discard the pixels in the probability map that are lower than the probability threshold to obtain the processed probability map;

[0053] Within the non-maximum suppression radius of each pixel in the processed probability map, discard all pixels except the pixel with the maximum probability, and the positions of the remaining pixels form the graph vertex set.

[0054] In the embodiments of the present invention, the image encoder adopts the Vision Transformer architecture, divides the satellite remote sensing image into multiple non-overlapping blocks of 16×16 pixel size, encodes each non-overlapping block into an embedding vector of a fixed dimension, and then stacks the embedding vectors to obtain a tensor; uses 12 multi-head attention layers in the image encoder to process the tensor to obtain a feature image.

[0055] In the embodiments of the present invention, the geometric decoder includes 4 transposed convolutional layers, each layer uses a 3×3 convolutional kernel, the stride is 2, and each layer doubles the spatial feature resolution and reduces the number of channels. The topological decoder is implemented by using a Transformer-based graph neural network structure.

[0056] As a preferred implementation, in S3, the GIS database adopts the PostGIS database system to support the efficient storage and query of large-scale spatial data.

[0057] As a preferred implementation, in S4, the topsoil burial depth and slope of each pipeline are determined by geographical elevation information and soil information; in the embodiments of the present invention, the topsoil burial depth of the pipeline is above 0.7m; the slope is above 0.003.

[0058] The diameter of each pipeline is determined based on the topsoil burial depth of each pipeline, the slope of each pipeline, and the designed flow rate of each pipeline; among them, the calculation method of the designed flow rate of each pipeline is:

[0059] Calculate the average designed flow rate of domestic sewage by using the population density and comprehensive domestic sewage quota of each sub-region in the target area; draw the buffer zone of the pipeline according to the network topology structure diagram of the drainage network, and take the total building area intersecting with the buffer zone as the building service area of each pipeline;

[0060] Determine the designed sewage flow rate of each pipeline by using the average designed flow rate of domestic sewage, the building service area of each pipeline, and the designed industrial wastewater volume.

[0061] Preferably, the calculation method of the diameter of each pipeline in the present invention also considers the designed rainwater flow rate, specifically including:

[0062] Use GIS to draw the catchment area of each well point based on the pipe point and geographical elevation information, and then obtain the catchment area of the catchment area of each well point; use the rainfall information of the target area to obtain the corresponding runoff per unit area, and multiply it by the catchment area of the catchment area to obtain the designed rainwater flow rate of each pipeline;

[0063] Correspondingly superimpose the designed sewage flow rate of each pipeline and the designed rainwater flow rate of each pipeline as the designed flow rate of each pipeline.

[0064] In summary, first, the present invention constructs a visual model of a drainage pipe network, which integrates three modules: an image encoder, a geometric decoder, and a topological decoder. Using several satellite remote sensing images of the target area as input, in actual use, only the satellite remote sensing images of the target area need to be obtained and input into the aforementioned drainage pipe network visual model to obtain the network topology structure diagram of the drainage pipe network in the target area. Then, the multi-source information of the obtained target area and the network topology structure diagram of the aforementioned drainage pipe network are stored in the GIS database, enabling unified management and rapid query of data. Finally, the pipe crown cover depth of each pipe point, the slope and diameter attributes of each pipeline are calculated using the data in the aforementioned GIS database, and the calculation results are stored in the GIS database, ultimately completing the generation of the drainage pipe network. Compared with the traditional technology, the present invention generates an urban drainage pipe network based on remote sensing images, which not only improves the recognition and management efficiency, but also reduces the workload and cost of personnel. Therefore, it is very suitable for large-scale application and promotion in the field of drainage pipe network engineering technology.

[0065] Embodiment 2

[0066] An embodiment of the present invention provides a system for generating an urban drainage pipe network based on remote sensing images, including:

[0067] A data acquisition module, configured to acquire multi-source information of the target area, including: satellite remote sensing images, geographic elevation information, soil information, building information, rainfall information, and the population density, comprehensive domestic sewage quota, and designed industrial wastewater volume of each sub-area of the target area;

[0068] An identification module, configured to identify the satellite remote sensing images using the drainage pipe network visual model to obtain the network topology structure diagram of the drainage pipe network; wherein, the vertices in the network topology structure diagram of the drainage pipe network represent the well points in the drainage pipe network, and the edges represent the pipelines connected between the well points;

[0069] A storage module, configured to associate the multi-source information and the network topology structure diagram through geographic coordinates, and store the associated multi-source information and network topology structure diagram in the GIS database;

[0070] A calculation module, configured to calculate the pipe crown cover depth, slope, and diameter of each pipeline in the network topology structure diagram, and store the calculation results in the GIS database as the attribute information of the corresponding pipeline, completing the generation of the drainage pipe network.

[0071] For the implementation method of each of the above modules, refer to the description of the corresponding steps in Embodiment 1, which will not be elaborated here.

[0072] Embodiment 3

[0073] An embodiment of the present invention provides an electronic device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the method for generating an urban drainage pipe network based on a remote sensing image in Embodiment 1 above are implemented.

[0074] The related technical solutions are the same as above and will not be elaborated here.

[0075] Embodiment 4

[0076] An embodiment of the present invention 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 an urban drainage pipe network based on a remote sensing image in Embodiment 1 above are implemented.

[0077] Specifically, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0078] The related technical solutions are the same as above and will not be elaborated here.

[0079] Embodiment 5

[0080] An embodiment of the present application provides a computer program product, including a computer program. When the computer program runs on a computer, the computer is caused to execute the steps of the method for generating an urban drainage pipe network based on a remote sensing image in Embodiment 1 above.

[0081] The related technical solutions are the same as above and will not be elaborated here.

[0082] Those skilled in the art can easily understand that the above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for generating an urban drainage pipe network based on remote sensing images, characterized in that, include: Obtain multi-dimensional information on the target area, including: satellite remote sensing images, geographic elevation information, soil information, building information, rainfall information, and population density, comprehensive domestic sewage quota, and designed industrial wastewater volume for each sub-area of the target area; The satellite remote sensing image is recognized using a drainage network visual model to obtain a network topology diagram of the drainage network; wherein vertices in the network topology diagram of the drainage network represent well points in the drainage network, and edges represent pipelines connected between the well points; Associating the multivariate information with the network topology diagram through geographic coordinates, and storing the associated multivariate information and network topology diagram in a GIS database; Calculate the top cover depth, slope, and diameter of each pipeline in the network topology diagram, and store the calculation results in the GIS database as attribute information of the corresponding pipeline to complete the generation of the drainage network; The diameter of each pipeline is determined by the buried depth of the top of each pipeline, the slope of each pipeline, and the design flow of each pipeline; wherein the design flow of each pipeline is calculated as follows: Calculating the average design flow rate of domestic sewage using the population density of each sub-area of the target area and the comprehensive domestic sewage quota; drawing a buffer zone for the pipeline according to the network topology diagram, and taking the sum of the building areas intersecting with the buffer zone as the building service area of each pipeline; Determine the sewage design flow rate of each pipeline using the average design flow rate of domestic sewage, the building service area of each pipeline, and the designed industrial wastewater volume; and use the sewage design flow rate of each pipeline as the design flow rate of each pipeline; The design flow of each pipeline also includes the rainwater design flow of each pipeline, and the rainwater design flow of each pipeline and the sewage design flow of each pipeline are superimposed to obtain the design flow of the corresponding pipeline; wherein the rainwater design flow of each pipeline is calculated as follows: The catchment area of each well point is drawn using GIS according to the pipe points and the geographic elevation information to obtain the catchment area of each well point catchment area; the rainfall information of the target area is used to obtain the corresponding unit area runoff, which is multiplied by the catchment area to obtain the rainwater design flow of each pipeline.

2. The method according to claim 1, characterized in that, The drainage network visual model includes: An image encoder, configured to obtain a feature map of the satellite remote sensing image; a geometric decoder for predicting the probability of the presence of a manhole cover in each pixel of the feature map to obtain a probability map, and performing non-maximum suppression on the probability map to obtain the center position of the manhole cover in the satellite remote sensing image; wherein the center positions of all manhole covers constitute a vertex set V in the network topology structure graph; A topological decoder is used to traverse all vertices in the vertex set V to generate the edge set E in the network topology structure diagram, specifically including: calculating the connection probability between each vertex and each vertex within a given radius; taking the average of all connection probabilities between two vertices A and B as the probability value that there is an edge between vertices A and B; if the probability value is greater than a preset threshold, it is considered that there is an edge between vertices A and B, and all edge sets E are obtained; wherein, the vertex set V and the edge set E corresponding to the vertices constitute the network topology structure diagram.

3. The method according to claim 2, wherein Performing non-maximum suppression processing on the probability map to obtain the central position of the manhole cover in the satellite remote sensing image, including: Discarding the pixels with probabilities lower than the probability threshold in the probability map to obtain a processed probability map; Within the non-maximum suppression radius of each pixel in the processed probability map, discarding all pixels except the pixel with the maximum probability, and the position of the remaining pixels is used as the central position of the manhole cover in the satellite remote sensing image.

4. The method according to claim 1, wherein The topsoil burial depth of each pipeline and the slope of each pipeline are determined by the geographical elevation information and the soil information.

5. A system for generating an urban drainage pipe network based on remote sensing images, characterized in that, Including: A data acquisition module for acquiring multivariate information of the target area, including: satellite remote sensing images, geographical elevation information, soil information, building information, rainfall information, and the population density, comprehensive domestic sewage quota, and designed industrial wastewater volume of each sub-area of the target area; An identification module for identifying the satellite remote sensing image with a drainage pipe network visual model to obtain a network topology structure diagram of the drainage pipe network; wherein, the vertices in the network topology structure diagram of the drainage pipe network represent the well points in the drainage pipe network, and the edges represent the pipelines connected between the well points; A storage module for associating the multivariate information and the network topology structure diagram through geographical coordinates and storing the associated multivariate information and network topology structure diagram in a GIS database; A calculation module for calculating the topsoil burial depth, slope, and diameter of each pipeline in the network topology structure diagram and storing the calculation results in the GIS database as the attribute information of the corresponding pipeline to complete the generation of the drainage pipe network; wherein, the diameter of each pipeline is determined by the topsoil burial depth of each pipeline, the slope of each pipeline, and the designed flow rate of each pipeline; wherein, the calculation method of the designed flow rate of each pipeline is: Calculating the average designed flow rate of domestic sewage using the population density of each sub-area of the target area and the comprehensive domestic sewage quota; drawing a buffer zone of the pipeline according to the network topology structure diagram, and taking the total building area intersecting with the buffer zone as the building service area of each pipeline; Determining the sewage designed flow rate of each pipeline using the average designed flow rate of domestic sewage, the building service area of each pipeline, and the designed industrial wastewater volume; taking the sewage designed flow rate of each pipeline as the designed flow rate of each pipeline; The designed flow rate of each pipeline further includes the rainwater designed flow rate of each pipeline, and the rainwater designed flow rate of each pipeline and the sewage designed flow rate of each pipeline are correspondingly superimposed as the designed flow rate of the corresponding pipeline; wherein, the calculation method of the rainwater designed flow rate of each pipeline is: Using GIS, draw the catchment areas of each well point based on the pipe points and the geographical elevation information to obtain the catchment areas of the catchment areas of each well point; obtain the corresponding runoff per unit area using the rainfall information of the target area, and multiply it by the catchment area to obtain the rainwater design flow of each pipeline.

6. An electronic device, characterized in that, It includes a computer-readable storage medium and a processor; The computer-readable storage medium is used to store executable instructions; The processor is used to read the executable instructions stored in the computer-readable storage medium and execute the method according to any one of claims 1-4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, the method according to any one of claims 1-4 is implemented.

8. A computer program product, characterized in that, It includes a computer program, and when the computer program runs on a computer, the computer is made to execute the method according to any one of claims 1-4.

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