CN113239502B

CN113239502B - Artificial intelligence image processing-based urban sewage pipe network simulation construction method

Info

Publication number: CN113239502B
Application number: CN202110440435.8A
Authority: CN
Inventors: 肖小杰
Original assignee: Hunan Zhong Ming Technology Co ltd
Current assignee: Hunan Zhong Ming Technology Co ltd
Priority date: 2021-04-23
Filing date: 2021-04-23
Publication date: 2022-08-09
Anticipated expiration: 2041-04-23
Also published as: CN113239502A

Abstract

The invention discloses a simulated construction method of an urban sewage pipe network based on artificial intelligence image processing, which comprises the following operations: acquiring the total purification treatment amount information of the sewage treatment center of each divided grid, and calculating to obtain a total purification treatment amount list of the sewage treatment center in a preset satellite map area; judging whether the current segmentation grid meets a first high-purification evaluation condition or not; performing regional community pollution discharge and parallel access operation on other segmentation grids which do not meet the first high-purification evaluation condition; searching the positions of all the segmentation grids which are lower than or equal to the first purification treatment total amount standard threshold value in a preset satellite map area, and searching all first-level road routes in the preset satellite map area at the same time; and collecting all the associated target areas along the reference line to form a sewage truck road transportation recommended route formed by the current second target community area and the current first-level road route to finish the vehicle sewage transportation treatment operation.

Description

Artificial intelligence image processing-based urban sewage pipe network simulation construction method

Technical Field

The invention relates to the technical field of artificial intelligence processing, in particular to a method for simulating and constructing an urban sewage pipe network based on artificial intelligence image processing.

Background

Along with the rapid development of urbanization, a great deal of construction of various newly-built communities, hotels, schools and the like at the edge of a city or in a new area leads to the obvious increase of urban sewage discharge, so that if more centralized sewage treatment plants are required to be expanded in the process of generally adopting centralized sewage treatment, a great deal of construction investment is required, the original urban pipe network system is required to be upgraded and modified, and further, the serious influence is brought to various infrastructures along the line of urban roads, traffic and pipe networks, buildings along the line of the pipe networks, urban appearance, environmental sanitation, urban atmosphere and the like. The problem that people have to face and urgently need to solve is how to improve the urban sewage treatment rate and protect water resources and water environment.

Through technical progress and development for many years, the existing urban sewage pipelines are subjected to intelligent connection and intelligent construction management by adopting artificial intelligence and image acquisition modes in the prior art, but researches show that the intelligent sewage pipeline network construction is usually carried out by directly merging the artificial intelligence and the image acquisition modes into a main sewage pipeline in an area with higher sewage treatment capacity; however, for some areas with lower sewage treatment capacity, people often study and neglect the method, and a better and more intelligent sewage pipe network construction and treatment method is not provided, and obviously, the defect is that people need to overcome and change the technical status.

Disclosure of Invention

In view of the foregoing problems, an object of an embodiment of the present invention is to provide a method for constructing a sewage pipe network in an artificial intelligence image processing manner, so as to provide a virtual construction capability of an intelligent sewage pipe network in an urban area global area, and help an enterprise construct a sewage pipe network with the highest cost saving and efficiency.

The embodiment of the invention provides an artificial intelligence image processing-based urban sewage pipe network simulation construction method, which comprises the following operation steps:

step S1: dividing grid lines on a pipeline plane graph model of a preset satellite map area so as to form a plurality of rectangular divided grids in the preset satellite map area; acquiring purification treatment total amount information of the sewage treatment center of each divided grid, and calculating to obtain a purification treatment total amount list of the sewage treatment center in a preset satellite map area, wherein the purification treatment total amount list of the sewage treatment center is arranged from high purification treatment total amount to low purification treatment total amount; a sewage conveying central pipeline is respectively arranged at the left side and the right side of the pipeline plane graph model of each preset satellite map area, and the sewage conveying central pipeline is a first sewage conveying central pipeline and a second sewage conveying central pipeline; the diameters and the pipeline materials of the first sewage conveying central pipeline and the second sewage conveying central pipeline are the same;

judging whether the current segmentation grid meets a first high-purification evaluation condition;

executing pipeline access selection operation of the first sewage conveying central pipeline or the second sewage conveying central pipeline on the divided grids meeting the first high-purification evaluation condition, and entering step S2;

performing regional community pollution discharge and access operation on other segmentation grids which do not meet the first high-purification evaluation condition, and entering step S3;

step S3: and executing a second-stage sewage treatment operation on the segmentation grids which do not meet the first high-purification evaluation condition, wherein the method specifically comprises the following operation steps:

step S31: acquiring sewage pipe well attribute information in the segmentation grids which do not accord with the first high-purification evaluation condition; the sewage pipe well attribute information comprises position information of each sewage pipe well, current sewage storage capacity of the sewage pipe well and total water storage capacity of the sewage pipe well;

step S32: simultaneously acquiring the sewage purification treatment capacity of all the sewage treatment centers in the segmentation grids which do not accord with the first high purification evaluation condition in the preset satellite map area;

step S33: calculating the total amount of sewage purification treatment capacity of all the division grids which do not accord with the first high purification evaluation condition in the preset satellite map area, screening out the division grids which are higher than a first purification treatment total amount standard threshold value, determining that the current division grid is a first target community area, and searching the positions of all the division grids which do not accord with the first high purification evaluation condition in the preset satellite map area by taking the current first target community area as a central point, taking the current first target community area as an original point and taking the preset radius length; if other divided grids higher than the first purification treatment total amount standard threshold value are searched, communicating a sewage treatment center in the current first target community region with a sewage treatment center in the searched divided grids through branch sewage pipelines to form a sewage pipeline in the community region to finish regional community sewage treatment operation (to prepare for subsequent connection of a first sewage conveying center pipeline and a second sewage conveying center pipeline); the branch sewage pipeline is a branch sewage pipeline with a thinner pipe diameter relative to the first sewage conveying central pipeline and the second sewage conveying central pipeline;

step S34: calculating the total amount of sewage purification treatment capacity of all the segmentation grids which do not accord with the first high purification evaluation condition in the preset satellite map area, screening out all the segmentation grids which are lower than or equal to the first purification treatment total amount standard threshold value, determining that the current segmentation grid is a second target community area, searching the positions of all the segmentation grids which are lower than or equal to the first purification treatment total amount standard threshold value in the preset satellite map area, and simultaneously searching all first-level road routes in the preset satellite map area;

the method comprises the steps that a current second target community area is used as a starting point, a first-level highway route closest to the starting point is determined as a reference line, all positions of a segmentation grid which is lower than or equal to a first purification treatment total amount standard threshold value and is arranged in a preset satellite map area are searched along the reference line, when the distance calculation length from the searched positions of the segmentation grid to the reference line is smaller than the standard distance threshold value, the current segmentation grid is determined to be a related target area related to the second target community area of the starting point, and a sewage truck highway transportation recommended route formed by the current second target community area and the current first-level highway route is formed by gathering all related target areas along the reference line to finish vehicle sewage transportation treatment operation; sending the sewage vehicle road transportation recommended route to a central processing server; wherein the first-level road route is a provincial-level road or a county-level road; the calculation length of the distance from the searched position of the segmentation grid to the reference line is as follows: the shortest road route length (all forms of roads) between the center of the segmentation grid and the datum line or the straight line distance length between the center of the segmentation grid and the datum line; the shortest road route length is the shortest road length of all conventional roads formed from the center of the segmentation grid to the reference line calculated by using an image recognition method.

Preferably, as one possible embodiment; before executing step S1, the method further includes executing preprocessing operations: and acquiring distribution information of a sewage treatment center in a preset satellite map area and a pipeline plane map model in the preset satellite map area.

Preferably, as one possible embodiment; in step S33, the calculating the total amount of the sewage purification treatment amount of each of the divided grids in the preset satellite map area that do not meet the first high purification evaluation condition includes the following steps:

step S331: collecting attribute information of the sewage pipe wells in the current segmentation grid, and calculating the sum of cached sewage amounts of all the sewage pipe wells in the current segmentation grid; wherein the cached sewage amount of each sewage pipe well is equal to the difference between the total water storage amount of the sewage pipe well and the current sewage storage amount of the sewage pipe well;

step S332: summarizing and acquiring the sum of the treatment capacity of all sewage treatment centers in the current divided grid; wherein the treatment capacity of each sewage treatment center comprises the daily average sewage treatment capacity of the sewage treatment center;

step S333: and summing the sum of the cached sewage amount of all the sewage pipe wells in the current segmentation grid and the sum of the treatment capacity of all the sewage treatment centers in the current segmentation grid to obtain the total amount of the sewage purification treatment capacity of each segmentation grid.

Preferably, as one possible embodiment; the method comprises the following steps of acquiring and calculating daily average sewage treatment capacity of each sewage treatment center while acquiring the sum of the treatment capacities of all the sewage treatment centers in the current segmentation grid, and comprises the following operation steps:

step S3321: acquiring a load purification treatment capacity attenuation coefficient of a sewage treatment center;

step S3322: according to the workload of the sewage treatment unit in unit time of the sewage treatment center and the daily work purification treatment duration;

step S3323: calculating the daily average sewage treatment capacity of the sewage treatment center according to the load purification treatment capacity attenuation coefficient, the workload of a sewage treatment unit in unit time of the sewage treatment center and the daily working purification treatment duration;

sigma M = Sn multiplied by Ns multiplied by Ts, Ns is the workload of a sewage treatment unit in unit time of a sewage treatment center, and Sn is a load purification treatment capacity attenuation coefficient; ts is the daily cleaning time.

Preferably, as one possible embodiment; the step S2 specifically includes the following operations:

step S2: starting to perform pipeline wiring operation from the sewage treatment center to a sewage conveying center pipeline in a preset satellite map area from a partition grid with the highest total purification treatment amount in a sewage treatment center total purification treatment amount list, and gradually performing pipeline access selection operation from the sewage treatment center to a first sewage conveying center pipeline or a second sewage conveying center pipeline in the preset satellite map area to the lowest partition grid until the whole preset satellite map area completes pipeline access operation of all the sewage treatment centers; when the pipeline wiring operation from the sewage treatment center to the sewage conveying center pipeline of each current segmentation grid is carried out, the position of the current segmentation grid relative to a preset satellite map area is firstly identified; detecting and searching a sewage conveying central pipeline (namely, the sewage conveying central pipeline is on the left side) which is positioned at the same side of a preset satellite map area with the current segmentation grid, and determining the position of the corresponding sewage conveying central pipeline; the corresponding sewage conveying central pipeline is a target sewage conveying central pipeline; selecting a bus sewage treatment center belonging to the current segmentation grid from the current segmentation grid as a centralized node of all sewage treatment centers in the current segmentation grid, wherein the centralized node enables all the sewage treatment centers of the current segmentation grid to be connected to the bus sewage treatment center in a gathering manner; identifying a plurality of original obstacle sewage treatment centers (the obstacle sewage treatment centers are waste sewage treatment centers or underground building facilities which can not carry out sewage pipeline wiring, such as subway buildings, house buildings and the like) in a preset satellite map area, determining the positions of the obstacle sewage treatment centers, and laying a planning pipeline on the preset satellite map area, wherein the planning pipeline enables the bus sewage treatment center to start to connect a target sewage conveying center pipeline along the latitude line of the pipeline plane graph model, and simultaneously bypasses the obstacle sewage treatment centers on the planning pipeline to obtain a target planning pipeline line of the current segmentation grid; repeating the step S2, performing pipeline line connection planning operation on the segmentation grids according to the sequence from high to low of the total purification treatment amount in the total purification treatment amount list of the sewage treatment center, and finally completing the main pipeline connection operation of the sewage in the preset satellite map area of all segmentation grids meeting the first high purification evaluation condition in the preset satellite map area;

preferably, as one possible embodiment; the segmentation grids meeting the first high purification evaluation condition are that the total amount of the sewage purification treatment amount of the current segmentation grids is greater than or equal to the total amount of standard high purification treatment; the total amount of the sewage purification treatment amount of the current segmentation grid which does not accord with the first high purification evaluation condition is lower than the standard high purification treatment amount.

Preferably, as one possible embodiment; the obstacle sewage treatment center is a waste sewage treatment center on a preset satellite map area or an underground building facility (such as a subway building or a shallow underground house building facility) for obstructing pipeline wiring of a sewage delivery center.

Preferably, as one possible embodiment; the sewage treatment center comprises a biological purification tank and a sewage treatment center detection system; the sewage treatment center detection system is used for summarizing and calculating the purification amount of the biological purification tank.

The technical scheme provided by the embodiment of the invention has the following beneficial effects:

the invention discloses an artificial intelligence image processing-based urban sewage pipe network simulation construction method, wherein an evacuation path calculation method relates to the following scheme: dividing grid lines on a pipeline plane graph model of a preset satellite map area so as to form a plurality of rectangular segmentation grids in the preset satellite map area; acquiring purification treatment total amount information of the sewage treatment center of each divided grid, and calculating to obtain a purification treatment total amount list of the sewage treatment center in a preset satellite map area, wherein the purification treatment total amount list of the sewage treatment center is arranged from high purification treatment total amount to low purification treatment total amount; a sewage conveying central pipeline is respectively arranged at the left side and the right side of the pipeline plane graph model of each preset satellite map area, and the sewage conveying central pipeline is a first sewage conveying central pipeline and a second sewage conveying central pipeline; the diameters and the pipeline materials of the first sewage conveying central pipeline and the second sewage conveying central pipeline are the same; judging whether the current segmentation grid meets a first high-purification evaluation condition;

executing pipeline access selection operation of the first sewage conveying central pipeline or the second sewage conveying central pipeline on the divided grids meeting the first high-purification evaluation condition, and entering step S2; the embodiment of the invention also uses the reference that the operation of accessing the main sewage pipeline is realized for the segmentation grid with high treatment capacity in the prior art, but the subsequent water treatment operation of the area with low treatment capacity is also carried out;

according to the specific technical scheme of the embodiment of the invention, the divided grids which do not accord with the first high-purification evaluation condition are not considered to be unnecessary to be connected to the main sewage pipeline (namely the first sewage conveying central pipeline and the second sewage conveying central pipeline), and researches show that if all sewage pipes of the divided grids are connected to the main sewage pipeline of the sewage conveying central pipeline, the method is considered to cause waste to the main pipeline resources, and the construction cost is very high; therefore, the technical scheme of the application adopts regional community pollution discharge treatment operation; the regional community pollution discharge treatment operation is a treatment method researched and designed, and the treatment method specifically refers to the factor of a first total purification treatment amount standard threshold value, a cutting method is not adopted for the segmentation grids of different total purification treatment amounts, but two modes of subdivision are adopted, and a branch sewage pipeline laying construction method in a community region is adopted for the segmentation grids higher than the first total purification treatment amount standard threshold value, so that a community region with large sewage purification treatment amount is formed, and preparation is made for merging into a main sewage pipeline in the future; the community which is lower than or equal to the first total purification treatment standard threshold value is implemented by adopting a sewage truck road transportation mode; the sewage pipeline laying construction method and the sewage vehicle road transportation mode adopt image processing and distance calculation methods to obtain an optimal regional community sewage disposal operation; therefore, the optimal sewage vehicle transportation route is recommended to a management department to realize efficient management, and the technical scheme is not a cutting technical scheme by comprehensively considering specific use conditions under specific working conditions and implementing regional community pollution discharge treatment operation and vehicle sewage transportation treatment operation.

In a more specific embodiment, step S34: screening all the segmentation grids which are lower than or equal to the first total purification treatment standard threshold value, determining the current segmentation grid as a second target community area, searching the positions of all the segmentation grids which are lower than or equal to the first total purification treatment standard threshold value in a preset satellite map area, and searching all first-level road routes in the preset satellite map area at the same time; meanwhile, taking a current second target community area as a starting point, determining a first-level road route closest to the starting point as a reference line, searching all positions of segmentation grids which are lower than or equal to a first purification treatment total standard threshold value in a preset satellite map area along the reference line, determining the current segmentation grid as a related target area related to the second target community area of the starting point when the distance calculation length from the searched positions of the segmentation grids to the reference line is smaller than the standard distance threshold value, and collecting all related target areas along the reference line to form a sewage road transportation recommended route formed by the current second target community area and the current first-level road route; sending the recommended route of sewage road transportation to a central processing server; it should be noted that, at the same time, the current second target community area is taken as a starting point, the first-level highway route closest to the starting point is determined as a reference line, and a highway recommended route is formed by searching along the reference line and is recommended to the sewage management server, so that the sewage vehicle can be subjected to forward resolution recommendation to the user, and management of a management department is greatly facilitated. The first-level road route is a provincial-city-level road or a county-level road;

the embodiment of the invention can identify the road routes by using the image processing technology through the artificial intelligence image processing-based urban sewage pipe network simulation construction method, establish a pipeline plane graph model of a preset satellite map area, virtually carry out sewage pipe network simulation laying in the model, calculate an optimal laying scheme in an artificial intelligence mode (by searching the positions of all the divided grids which are lower than or equal to a first purification treatment total amount standard threshold value in the preset satellite map area and simultaneously searching all the first-level road routes in the preset satellite map area, simultaneously taking the current second target community area as a starting point, determining the first-level road route which is closest to the starting point as a reference line, searching the positions of all the divided grids which are lower than or equal to the first purification treatment total amount standard threshold value in the preset satellite map area along the reference line, when the distance calculation length from the searched position of the divided grid to the reference line is smaller than a standard distance threshold value, determining that the current divided grid is a related target area related to a second target community area of the starting point, and collecting all related target areas along the line of the reference line to form a sewage road transportation recommended route formed by the current second target community area and the current first-level road route; according to the technical scheme adopted by the embodiment of the invention, the modes of a road route, a high-density optimization algorithm, an optimal path method and the like are fully considered, and an optimal sewage pipeline construction scheme is designed, so that scientific distribution is realized, and the technical requirements of low construction cost and high operation efficiency of a sewage pipeline pipe network are met.

In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solution of the present invention, the drawings needed in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope of the present invention, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.

FIG. 1 is a schematic flow chart of a simulation construction method for an urban sewage pipe network based on artificial intelligence image processing provided by the invention;

fig. 2 is a schematic diagram showing a specific flow of calculating the total amount of sewage purification treatment capacity of each divided grid which does not meet the first high-purification evaluation condition in a preset satellite map area in the artificial intelligence image processing-based urban sewage pipe network simulation construction method provided by the invention;

FIG. 3 is a schematic diagram showing a specific process of collecting and calculating daily average sewage treatment capacity of each sewage treatment center in the artificial intelligence image processing-based urban sewage pipe network simulation construction method provided by the invention;

fig. 4 is a schematic architecture diagram of a simulation building system for a municipal sewage network based on artificial intelligence image processing according to an embodiment of the present invention.

Reference numbers: an artificial intelligence image processing-based urban sewage pipe network simulation construction system 100; an initialization module 10; a high purification treatment module 20; a low purification process module 30; an information acquisition submodule 31; a computation submodule 32; a first search submodule 33; a second search submodule 34.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.

Example one

As shown in fig. 1, fig. 1 is a schematic flow chart of a method for constructing a simulation of an urban sewer network based on artificial intelligence image processing according to a first embodiment of the present invention. Before executing the sewage pipe network simulation construction method, simulating or actually constructing two main sewage conveying pipelines on a pipeline plane graph model of a preset satellite map area; and the left side and the right side of the pipeline plane graph model of each preset satellite map area are respectively provided with a sewage conveying central pipeline which is a first sewage conveying central pipeline and a second sewage conveying central pipeline, and the sewage conveying central pipeline is a technical basis for executing sewage pipeline simulation construction.

step S1: dividing grid lines on a pipeline plane graph model of a preset satellite map area so as to form a plurality of rectangular segmentation grids in the preset satellite map area (namely, each segmentation grid forms a small satellite map area); acquiring purification treatment total amount information of the sewage treatment center of each divided grid, and calculating to obtain a purification treatment total amount list of the sewage treatment center in a preset satellite map area, wherein the purification treatment total amount list of the sewage treatment center is arranged from high purification treatment total amount to low purification treatment total amount; the diameters and the pipeline materials of the first sewage conveying central pipeline and the second sewage conveying central pipeline are the same;

judging whether the current segmentation grid meets a first high purification evaluation condition (or called a high purification treatment total amount threshold condition, namely the segmentation grid meeting the first high purification evaluation condition is an area in which the total amount of the sewage purification treatment amount of the current segmentation grid is greater than or equal to the standard high purification treatment total amount);

step S33: calculating the total amount of sewage purification treatment capacity of all the division grids which do not accord with the first high purification evaluation condition in the preset satellite map area, screening out the division grids which are higher than a first purification treatment total amount standard threshold value, determining that the current division grid is a first target community area, and searching the positions of all the division grids which do not accord with the first high purification evaluation condition in the preset satellite map area by taking the current first target community area as a central point, taking the current first target community area as an original point and taking the preset radius length; if other divided grids higher than the first total purification treatment standard threshold value are searched, communicating a sewage treatment center in the current first target community area with the sewage treatment center in the searched divided grids through branch sewage pipelines to form a sewage pipeline in the community area to finish the community sewage treatment operation (to prepare for the subsequent connection of a first sewage conveying center pipeline and a second sewage conveying center pipeline); the branch sewage pipeline is a branch sewage pipeline with a thinner pipe diameter relative to the first sewage conveying central pipeline and the second sewage conveying central pipeline;

the method comprises the steps that a current second target community area is used as a starting point, a first-level road route which is closest to the starting point is determined as a reference line, all positions of segmentation grids which are lower than or equal to a first purification treatment total standard threshold value in a preset satellite map area are searched along the reference line, when the distance calculation length from the searched positions of the segmentation grids to the reference line is smaller than the standard distance threshold value, the current segmentation grids are determined to be related target areas which are related to the second target community area of the starting point, and a sewage truck road transportation recommended route which is formed by the current second target community area and the current first-level road route is formed along all related target areas along the reference line in a gathering mode to finish vehicle sewage transportation treatment operation; sending the sewage vehicle road transportation recommended route to a central processing server; the first-level highway route is a provincial highway or a county highway; the calculation length of the distance from the searched position of the segmentation grid to the reference line is as follows: the shortest road route length (all forms of roads) between the center of the segmentation grid and the datum line or the straight line distance length between the center of the segmentation grid and the datum line; the shortest road route length is the shortest road length of all conventional roads (namely, the conventional roads comprise provincial level roads or county level roads) formed from the center of the segmentation grid to the reference line calculated by using the image recognition method.

It should be noted that, in the specific technical solution of the embodiment of the present invention, it is considered that no main sewage pipeline (i.e. the first sewage conveying central pipeline and the second sewage conveying central pipeline) is required to be connected to the divided grids that do not meet the first high purification evaluation condition, and research finds that if all sewage pipes of the divided grids are connected to the main sewage pipeline of the sewage conveying central pipeline, the method is considered to cause waste of main pipeline resources, and the construction cost is very high; therefore, the technical scheme of the application adopts regional community pollution discharge treatment operation; the regional community pollution discharge treatment operation is a treatment method researched and designed, and the treatment method specifically refers to the factor of a first total purification treatment amount standard threshold value, a cutting method is not adopted for the segmentation grids of different total purification treatment amounts, but two modes of subdivision are adopted, and a branch sewage pipeline laying construction method in a community region is adopted for the segmentation grids higher than the first total purification treatment amount standard threshold value, so that a community region with large sewage purification treatment amount is formed, and preparation is made for merging into a main sewage pipeline in the future; the community which is lower than or equal to the first total purification treatment standard threshold value is implemented by adopting a sewage truck road transportation mode; the sewage pipeline laying construction method and the sewage vehicle road transportation mode adopt image processing and distance calculation methods to obtain an optimal regional community sewage disposal operation; therefore, the optimal sewage vehicle transportation route is recommended to a management department to realize efficient management, and the technical scheme is not a cutting technical scheme by comprehensively considering specific use conditions under specific working conditions and implementing regional community pollution discharge treatment operation and vehicle sewage transportation treatment operation.

the embodiment of the invention can identify the road routes by using the image processing technology through the artificial intelligence image processing-based urban sewage pipe network simulation construction method, establish a pipeline plane graph model of a preset satellite map area, virtually carry out sewage pipe network simulation laying in the model, calculate an optimal laying scheme in an artificial intelligence mode (by searching the positions of all the divided grids which are lower than or equal to a first purification treatment total amount standard threshold value in the preset satellite map area and simultaneously searching all first-level road routes in the preset satellite map area, simultaneously taking a current second target community area as a starting point, determining a first-level road route which is closest to the starting point as a reference line, searching the positions of all the divided grids which are lower than or equal to the first purification treatment total amount standard threshold value in the preset satellite map area along the reference line, and when the calculated length of the distance from the searched positions of the divided grids to the reference line is less than the standard distance threshold value, determining the current segmentation grid as an associated target area associated with a second target community area of the starting point, and collecting all associated target areas along the reference line to form a sewage road transportation recommendation route formed by the current second target community area and the current first-level road route; according to the technical scheme adopted by the embodiment of the invention, the modes of a road route, a high-density optimization algorithm, an optimal path method and the like are fully considered, and an optimal sewage pipeline construction scheme is designed, so that scientific distribution is realized, and the technical requirements of low construction cost and high operation efficiency of a sewage pipeline pipe network are met.

Before executing step S1, the method further includes executing preprocessing operations: and acquiring distribution information of a sewage treatment center in a preset satellite map area and a pipeline plane map model in the preset satellite map area.

As shown in fig. 2, in step S33, the calculating the total amount of sewage purification treatment amount of each of the divided grids in the preset satellite map area that do not meet the first high purification evaluation condition includes the following steps:

In the embodiment of the invention, in the specific implementation process, the design optimization is also carried out on the calculation of the total amount of the sewage purification treatment capacity of each partition grid, and in the prior art, the total amount of the sewage purification treatment capacity in the region is calculated according to the actual installed total amount in the region, for example, the sewage purification treatment capacity of each purification device is summarized, but the actual error of the method is larger; according to the embodiment of the invention, a large number of sensors are arranged in the equipment and the sewage pipe network, a large number of effective data are collected, the daily average sewage treatment capacity of the sewage treatment center is obtained through data analysis and calculation, the attribute information of the sewage pipe well in the current segmentation grid is collected, and the total amount of the sewage purification treatment capacity of each segmentation grid with higher reference value is finally obtained through calculation.

As shown in fig. 3, while obtaining the sum of the treatment capacities of all the sewage treatment centers in the current divided grid, the method further comprises collecting and calculating the daily average sewage treatment capacity of each sewage treatment center, and comprises the following operation steps:

sigma M = Sn multiplied by Ns multiplied by Ts, Ns is the workload of the sewage treatment unit in unit time of the sewage treatment center, and Sn is the attenuation coefficient of the load purification treatment capacity; ts is the daily cleaning time.

In a specific technical scheme, the embodiment of the invention automatically calculates the daily average sewage treatment capacity of each sewage treatment center of the pool by the method to evaluate the sewage treatment capacity of a single sewage treatment center, and the technical scheme of the invention considers that the treatment capacity of the single sewage treatment center can be obtained according to the product of Ns and Ts; research shows that the product of the attenuation coefficient of the load purification treatment capacity, the residual service life duration of the sewage treatment center and the reliability coefficient of the equipment.

In the specific technical solution of the embodiment of the present invention, the sewage pipeline treatment of the high purification area is realized by performing step S2; the embodiment also realizes intelligent connection management on the sewage pipeline in the high-purification area; step S2: starting to perform pipeline wiring operation from the sewage treatment center to a sewage conveying center pipeline in a preset satellite map area from a partition grid with the highest total purification treatment amount in a sewage treatment center total purification treatment amount list, gradually performing pipeline access selection operation from the sewage treatment center to a first sewage conveying center pipeline or a second sewage conveying center pipeline in the preset satellite map area to the lowest partition grid until the whole preset satellite map area completes the pipeline access operation of all the sewage treatment centers (planning treatment is performed from a high-rank partition grid to a first-rank partition grid, and along with the laying treatment of the sewage pipeline in the previous high-density area, the laying treatment of the sewage pipeline in the subsequent low-density area is performed, so that the complicated to simple sewage pipe network treatment process is completed); when the pipeline wiring operation from the sewage treatment center to the sewage conveying center pipeline of each current segmentation grid is carried out, the position of the current segmentation grid relative to a preset satellite map area is firstly identified; detecting and searching a sewage conveying central pipeline (namely, the sewage conveying central pipeline is on the left side) which is positioned at the same side of a preset satellite map area with the current segmentation grid, and determining the position of the corresponding sewage conveying central pipeline; the corresponding sewage conveying central pipeline is a target sewage conveying central pipeline; selecting a bus sewage treatment center belonging to the current segmentation grid from the current segmentation grid as a centralized node of all sewage treatment centers in the current segmentation grid, wherein the centralized node enables all the sewage treatment centers of the current segmentation grid to be connected to the bus sewage treatment center in a gathering manner; identifying a plurality of original obstacle sewage treatment centers (the obstacle sewage treatment centers are waste sewage treatment centers or underground building facilities which can not carry out sewage pipeline wiring, such as subway buildings, house buildings and the like) in a preset satellite map area, determining the positions of the obstacle sewage treatment centers, and laying a planning pipeline on the preset satellite map area, wherein the planning pipeline enables the bus sewage treatment center to start to connect a target sewage conveying center pipeline along the latitude line of the pipeline plane graph model, and simultaneously bypasses the obstacle sewage treatment centers on the planning pipeline to obtain a target planning pipeline line of the current segmentation grid; repeating the step S2, performing pipeline line connection planning operation on the segmentation grids according to the sequence from high to low of the total purification treatment amount in the total purification treatment amount list of the sewage treatment center, and finally completing the main pipeline connection operation of the sewage in the preset satellite map area of all segmentation grids meeting the first high purification evaluation condition in the preset satellite map area; the obstacle sewage treatment center is a waste sewage treatment center on a preset satellite map area or an underground building facility (such as a subway building or a shallow underground house building facility) for obstructing pipeline wiring of a sewage delivery center.

Before step S2 is executed, the following steps are also included: judging whether a preset satellite map area needs to update the first high-purification evaluation condition every preset time period; if the ratio of the segmented grids meeting the current first high-purification evaluation condition in the preset satellite map area to all segmented grids in the preset satellite map area exceeds 60%, updating the current first high-purification evaluation condition; and meanwhile, the total purification treatment amount list of the sewage treatment center is updated. The technical scheme can ensure intermittent updating of the first high-purification evaluation condition, simultaneously updates the purification treatment total amount list of the sewage treatment center, and finally provides dynamically-changed precondition judgment conditions for completing iterative solution of the access scheme of the main sewage pipeline in the current high-threshold area.

In summary, in the embodiments of the present invention, the first high-purification evaluation condition is continuously updated, the obstacle sewage treatment center is continuously updated, and the like, so as to finally realize the determination operation of the sewage treatment center in each current divided grid, and simultaneously continuously update the waste sewage treatment center or the underground building facility which cannot perform sewage pipeline wiring, avoid the above obstacle node, and finally continuously iteratively solve the sewage main pipeline access scheme in the current high-threshold region. The sewage treatment center comprises a biological purification tank and a sewage treatment center detection system; the sewage treatment center detection system is used for summarizing and calculating the purification amount of the biological purification tank.

In a specific technical scheme of the embodiment of the invention, the segmentation grids meeting the first high purification evaluation condition are that the total amount of sewage purification treatment capacity of the current segmentation grids is greater than or equal to the total amount of standard high purification treatment; the segmentation grids which do not accord with the first high purification evaluation condition are that the total amount of the sewage purification treatment amount of the current segmentation grids is lower than the total amount of the standard high purification treatment amount.

When the embodiment of the invention carries out the treatment of low total purification treatment amount, the idea of distributed sewage treatment is adopted, and meanwhile, the technical preparation is continuously provided for accessing the main sewage pipeline along with the time advance; according to the technical scheme of the embodiment of the invention, when a centralized sewage treatment plant is not suitable, small and miniature sewage treatment facilities built nearby are adopted to collect and treat sewage in a small area, a local area or even a cell, and a first-level road route is found nearby, so that a sewage road transportation recommended route is formed. According to the technical scheme adopted by the embodiment of the invention, different solutions are selected according to different specific conditions, and the sludge of the sewage treatment plant meeting the conditions (such as the first high-purification evaluation condition) is subjected to centralized treatment, so that various problems of city planning, municipal construction and the like caused by upgrading and reconstruction of a pipe network system of a centralized sewage treatment plant are avoided, and the centralized treatment of the sludge of the urban sewage treatment plant is facilitated;

in the case where the first high-level purification evaluation condition is not satisfied, the distributed purification processing is not performed by one cutting, but specific cases are divided, for example, cases 1 and 2 described below;

case 1: calculating the total amount of sewage purification treatment capacity of all the segmentation grids which do not accord with the first high purification evaluation condition in the preset satellite map area, screening out the segmentation grids which are higher than a first purification treatment total amount standard threshold value, determining that the current segmentation grid is a first target community area, and searching the positions of all the segmentation grids which do not accord with the first high purification evaluation condition in the preset satellite map area by taking the current first target community area as a central point, taking the current first target community area as an original point and taking the preset radius length; if other divided grids higher than the first total purification treatment standard threshold value are searched, communicating a sewage treatment center in the current first target community area with a sewage treatment center in the searched divided grids through branch sewage pipelines to form a sewage pipeline in the community area to finish regional community sewage treatment operation (obviously, the condition is still suitable for centralized sewage treatment but is not suitable for accessing a main sewage pipeline, so that community area sewage pipeline construction is temporarily adopted, the sewage pipelines in the community area in the current divided grids are increased at any time, after updating, the first high purification evaluation condition is possibly met at a certain later stage, and the first sewage conveying center pipeline and the second sewage conveying center pipeline can be directly accessed and connected, so that the sewage pipeline in the current community area is prepared for subsequently connecting the first sewage conveying center pipeline and the second sewage conveying center pipeline, and meanwhile, the community area sewage pipeline is prepared for subsequently connecting the first sewage conveying center pipeline and the second sewage conveying center pipeline The sewage pipelines in the region can be directly converted into centralized nodes of all sewage treatment centers in the current segmentation grid in fact in many subsequent cases); the branch sewage pipeline is a branch sewage pipeline with a smaller pipe diameter than the first sewage conveying central pipeline and the second sewage conveying central pipeline, and the branch sewage pipeline is designed because the cost for building the sewage pipeline in the community area is lowest, and the pipeline which has a larger diameter, higher compressive strength and is difficult to construct like the main sewage pipeline is not required to be selected;

case 2: calculating the total amount of sewage purification treatment capacity of all the segmentation grids which do not accord with the first high purification evaluation condition in the preset satellite map area, screening out all the segmentation grids which are lower than or equal to the first purification treatment total amount standard threshold value, determining the current segmentation grid as a second target community area, searching the positions of all the segmentation grids which are lower than or equal to the first purification treatment total amount standard threshold value in the preset satellite map area, and simultaneously searching all first-level road routes in the preset satellite map area.

Example two

The artificial intelligence based technology category mainly comprises big data acquisition information processing, natural language processing, knowledge representation, intelligent search, reasoning, planning, machine learning, knowledge acquisition, combined scheduling and the like.

The second embodiment of the invention provides a schematic structural diagram of an artificial intelligence image processing-based urban sewage pipe network simulation construction system. The system is implemented based on the principle and technology of the artificial intelligent image processing-based urban sewage pipe network simulation construction method in the first embodiment, and details are not repeated herein.

Referring to fig. 4, a simulation system 100 for constructing an urban sewer network based on artificial intelligence image processing according to a second embodiment of the present invention includes an initialization module 10, a high purification processing module 20, and a low purification processing module 30, where;

an initialization module 10, configured to divide a grid line on a pipeline plan model of a preset satellite map area, so that a plurality of rectangular divided grids are formed in the preset satellite map area (that is, each divided grid forms a small satellite map area); acquiring purification treatment total amount information of the sewage treatment center of each divided grid, and calculating to obtain a purification treatment total amount list of the sewage treatment center in a preset satellite map area, wherein the purification treatment total amount list of the sewage treatment center is arranged from high purification treatment total amount to low purification treatment total amount; the diameters and the pipeline materials of the first sewage conveying central pipeline and the second sewage conveying central pipeline are the same; judging whether the current segmentation grid meets a first high purification evaluation condition (or called a high purification treatment total amount threshold condition, namely the segmentation grid meeting the first high purification evaluation condition is an area in which the total amount of the sewage purification treatment amount of the current segmentation grid is greater than or equal to the standard high purification treatment total amount);

performing pipeline access selection operation of a first sewage conveying central pipeline or a second sewage conveying central pipeline on the division grids meeting the first high-purification evaluation condition, and processing through a high-purification processing module 20;

performing regional community pollution discharge and access operation on other segmentation grids which do not meet the first high-purification evaluation condition, and processing 30 through a low-purification processing module;

the low purification processing module 30 comprises an information acquisition submodule 31, a calculation submodule 32, a first search submodule 33 and a second search submodule 34;

and executing a second-stage sewage treatment operation on the segmentation grids which do not meet the first high-purification evaluation condition, wherein the method specifically comprises the following operation steps:

the information acquisition submodule 31 is used for acquiring sewer pipe well attribute information in the segmentation grids of the division grids which do not accord with the first high-purification evaluation condition; the attribute information of the sewage pipe well comprises position information of each sewage pipe well, current sewage storage capacity of the sewage pipe well and total water storage capacity of the sewage pipe well;

the calculation submodule 32 is used for simultaneously acquiring the sewage purification treatment capacity of all the sewage treatment centers in the segmentation grids which do not accord with the first high purification evaluation condition in the preset satellite map area;

the first search submodule 33 is configured to calculate the total amount of sewage purification treatment amount of all the divided grids that do not meet the first high-purification evaluation condition in the preset satellite map area, screen out the divided grids that are higher than the first purification treatment total amount standard threshold, determine that the current divided grid is the first target community area, and search the positions of all the divided grids that do not meet the first high-purification evaluation condition in the preset satellite map area by using the current first target community area as a central point, using the current first target community area as an origin, and using the preset radius length; if other divided grids higher than the first total purification treatment standard threshold value are searched, communicating a sewage treatment center in the current first target community area with the sewage treatment center in the searched divided grids through branch sewage pipelines to form a sewage pipeline in the community area to finish the community sewage treatment operation (to prepare for the subsequent connection of a first sewage conveying center pipeline and a second sewage conveying center pipeline); the branch sewage pipeline is a branch sewage pipeline with a thinner pipe diameter relative to the first sewage conveying central pipeline and the second sewage conveying central pipeline;

the second search submodule 34 is configured to calculate the total amount of sewage purification treatment amount of all the divided grids in the preset satellite map area, which do not meet the first high purification evaluation condition, screen out all the divided grids that are lower than or equal to the first purification treatment total amount standard threshold value, determine that the current divided grid is the second target community area, search the positions of all the divided grids in the preset satellite map area that are lower than or equal to the first purification treatment total amount standard threshold value, and search all the first-level road routes in the preset satellite map area at the same time;

the method comprises the steps that a current second target community area is used as a starting point, a first-level road route which is closest to the starting point is determined as a reference line, all positions of segmentation grids which are lower than or equal to a first purification treatment total standard threshold value in a preset satellite map area are searched along the reference line, when the distance calculation length from the searched positions of the segmentation grids to the reference line is smaller than the standard distance threshold value, the current segmentation grids are determined to be related target areas which are related to the second target community area of the starting point, and a sewage truck road transportation recommended route which is formed by the current second target community area and the current first-level road route is formed along all related target areas along the reference line in a gathering mode to finish vehicle sewage transportation treatment operation; sending the sewage vehicle road transportation recommended route to a central processing server; wherein the first-level road route is a provincial-level road or a county-level road; the calculation length of the distance from the searched position of the segmentation grid to the reference line is as follows: the shortest road route length (all forms of roads) between the center of the segmentation grid and the datum line or the straight line distance length between the center of the segmentation grid and the datum line; the shortest road route length is the shortest road length of all conventional roads (namely, the conventional roads comprise provincial level roads or county level roads) formed from the center of the segmentation grid to the reference line calculated by using the image recognition method.

The high purification processing module 20 is configured to start a pipeline wiring operation from the sewage processing center to a sewage delivery center pipeline in a preset satellite map area from a partition grid with the highest total purification processing amount in the sewage processing center total purification processing amount list, and gradually perform a pipeline access selection operation from the sewage processing center to a first sewage delivery center pipeline or a second sewage delivery center pipeline in the preset satellite map area to the lowest partition grid until the whole preset satellite map area completes the pipeline access operation of all the sewage processing centers; when the pipeline wiring operation from the sewage treatment center to the sewage conveying center pipeline of each current segmentation grid is carried out, the position of the current segmentation grid relative to a preset satellite map area is firstly identified; detecting and searching a sewage conveying central pipeline which is positioned at the same side of a preset satellite map area with the current segmentation grid, and determining the position of the corresponding sewage conveying central pipeline; the corresponding sewage conveying central pipeline is a target sewage conveying central pipeline; selecting a bus sewage treatment center belonging to the current segmentation grid from the current segmentation grid as a centralized node of all sewage treatment centers in the current segmentation grid, wherein the centralized node enables all the sewage treatment centers of the current segmentation grid to be connected to the bus sewage treatment center in a gathering manner; identifying a plurality of original obstacle sewage treatment centers on a preset satellite map area, determining the positions of the obstacle sewage treatment centers, and arranging a planning pipeline on the preset satellite map area, wherein the planning pipeline enables the bus sewage treatment center to start to connect a target sewage conveying central pipeline along the latitude line of the pipeline plane graph model, and simultaneously bypasses the obstacle sewage treatment centers on the planning pipeline to obtain a target planning pipeline line of the current segmentation grid; and repeating the steps to carry out planning pipeline line connection operation on the segmentation grids according to the sequence from the high purification treatment total amount to the low purification treatment total amount in the sewage treatment center purification treatment total amount list, and finally finishing the preset satellite map area sewage main pipeline connection operation of all segmentation grids meeting the first high purification evaluation condition in the preset satellite map area.

EXAMPLE III

Correspondingly, the third embodiment of the invention also provides a computer-readable storage medium, which stores the computer program used by the artificial intelligence image processing-based urban sewage pipe network simulation construction method.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, each functional module or unit in each embodiment of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part of the technical solution that contributes to the prior art in essence can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention.

Claims

1. A simulation construction method of an urban sewage pipe network based on artificial intelligence image processing is characterized by comprising the following steps: the method comprises the following operations:

step S1: dividing grid lines on a pipeline plane graph model of a preset satellite map area so as to form a plurality of rectangular segmentation grids in the preset satellite map area; acquiring purification treatment total amount information of the sewage treatment center of each divided grid, and calculating to obtain a purification treatment total amount list of the sewage treatment center in a preset satellite map area, wherein the purification treatment total amount list of the sewage treatment center is arranged from high purification treatment total amount to low purification treatment total amount; a sewage conveying central pipeline is respectively arranged at the left side and the right side of the pipeline plane graph model of each preset satellite map area, and the sewage conveying central pipeline is a first sewage conveying central pipeline and a second sewage conveying central pipeline; the diameters and the pipeline materials of the first sewage conveying central pipeline and the second sewage conveying central pipeline are the same; judging whether the current segmentation grid meets a first high-purification evaluation condition;

executing pipeline access selection operation of the first sewage conveying central pipeline or the second sewage conveying central pipeline on the divided grids meeting the first high-purification evaluation condition, and entering step S2; performing regional community pollution discharge and access operation on other segmentation grids which do not meet the first high-purification evaluation condition, and entering step S3;

step S31: acquiring sewage pipe well attribute information in the segmentation grids which do not accord with the first high-purification evaluation condition; the attribute information of the sewage pipe well comprises position information of each sewage pipe well, current sewage storage capacity of the sewage pipe well and total water storage capacity of the sewage pipe well;

step S33: calculating the total amount of sewage purification treatment capacity of all the division grids which do not accord with the first high purification evaluation condition in the preset satellite map area, screening out the division grids which are higher than a first purification treatment total amount standard threshold value, determining that the current division grid is a first target community area, and searching the positions of all the division grids which do not accord with the first high purification evaluation condition in the preset satellite map area by taking the current first target community area as a central point, taking the current first target community area as an original point and taking the preset radius length; if other divided grids higher than the first purification treatment total amount standard threshold value are searched within the preset radius range, communicating a sewage treatment center in the current first target community area with a sewage treatment center in the searched divided grids through branch sewage pipelines to form a sewage pipeline in the community area to finish the regional community sewage disposal operation; the branch sewage pipeline is a branch sewage pipeline with a thinner pipe diameter relative to the first sewage conveying central pipeline and the second sewage conveying central pipeline;

taking a current second target community area as a starting point, determining a first-level road route closest to the starting point as a reference line, searching all positions of the segmentation grids which are lower than or equal to a first purification treatment total amount standard threshold value in a preset satellite map area along the reference line, and determining the current segmentation grid as a related target area related to the second target community area of the starting point when the distance calculation length from the searched positions of the segmentation grids to the reference line is smaller than the standard distance threshold value; acquiring a current second target community area and all associated target areas along the reference line, and integrating all associated target areas along the reference line and the current second target community area to form a sewage truck road transportation recommended route associated with the current first-level road route, and finishing vehicle sewage transportation processing operation; sending the sewage vehicle road transportation recommended route to a central processing server; wherein the first-level road route is a provincial-level road or a county-level road; the calculation length of the distance from the searched position of the segmentation grid to the reference line is as follows: the shortest road route length between the center of the segmentation grid and the datum line or the straight line distance length between the center of the segmentation grid and the datum line.

2. The artificial intelligence image processing-based urban sewer network simulation construction method according to claim 1, further comprising performing preprocessing operation before performing step S1: and acquiring distribution information of a sewage treatment center in a preset satellite map area and a pipeline plane map model in the preset satellite map area.

3. The artificial intelligence image processing-based urban sewer network simulation construction method according to claim 2, wherein in step S33, the calculating of the total amount of sewage purification treatment amount of each divided grid which does not meet the first high purification evaluation condition in the preset satellite map area comprises the following steps:

step S333: and adding the sum of the cached sewage amount of all the sewage pipe wells in the current segmentation grid and the sum of the treatment capacity of all the sewage treatment centers in the current segmentation grid, and calculating to obtain the total amount of the sewage purification treatment capacity of each segmentation grid.

4. The artificial intelligence image processing-based urban sewage pipe network simulation construction method according to claim 3, wherein the method for acquiring the sum of the treatment capacities of all sewage treatment centers in the current divided grid and acquiring and calculating the daily average sewage treatment capacity of each sewage treatment center comprises the following operation steps:

step S3323: calculating the daily average sewage treatment capacity of the sewage treatment center according to the load purification treatment capacity attenuation coefficient, the workload of a sewage treatment unit in unit time of the sewage treatment center and the daily work purification treatment duration;

5. The artificial intelligence image processing-based urban sewer network simulation construction method according to claim 4, wherein the step S2 specifically comprises the following operations:

step S2: starting to perform pipeline wiring operation from the sewage treatment center to a sewage conveying central pipeline in a preset satellite map area from a partition grid with the highest purification treatment total amount in the sewage treatment center purification treatment total amount list, and gradually performing pipeline wiring operation from the sewage treatment center to the sewage conveying central pipeline in the preset satellite map area to the lowest partition grid; when the pipeline wiring operation of the sewage conveying central pipeline is carried out, the pipeline access selection operation of the first sewage conveying central pipeline or the second sewage conveying central pipeline is carried out until the pipeline access operation of all sewage treatment centers is completed in the whole preset satellite map area; when the pipeline wiring operation from the sewage treatment center to the sewage conveying center pipeline of each current segmentation grid is carried out, the position of the current segmentation grid relative to a preset satellite map area is firstly identified; searching a sewage conveying central pipeline which is positioned at the same side of a preset satellite map area with the current segmentation grid, and determining the position of the corresponding sewage conveying central pipeline; the corresponding sewage conveying central pipeline is a target sewage conveying central pipeline; selecting a bus sewage treatment center belonging to the current segmentation grid from the current segmentation grid as a centralized node of all sewage treatment centers in the current segmentation grid, wherein the centralized node enables all the sewage treatment centers of the current segmentation grid to be connected to the bus sewage treatment center in a gathering manner; identifying a plurality of original obstacle sewage treatment centers on a preset satellite map area, determining the positions of the obstacle sewage treatment centers, and arranging a planning pipeline on the preset satellite map area, wherein the planning pipeline enables the bus sewage treatment center to start to connect a target sewage conveying central pipeline along the latitude line of the pipeline plane graph model, and simultaneously bypasses the obstacle sewage treatment centers on the planning pipeline to obtain a target planning pipeline line of the current segmentation grid; and repeating the step S2, performing planning pipeline line connection operation on the segmentation grids according to the sequence from high to low of the total purification treatment amount in the total purification treatment amount list of the sewage treatment center, and finally completing the main pipeline connection operation of the preset satellite map area sewage of all segmentation grids meeting the first high purification evaluation condition in the preset satellite map area.

6. The artificial intelligence image processing-based urban sewer network simulation construction method according to claim 5, wherein the segmentation grids meeting the first high purification evaluation condition are such that the total amount of sewage purification treatment capacity of the current segmentation grid is greater than or equal to the standard high purification treatment total amount; the segmentation grids which do not accord with the first high purification evaluation condition are that the total amount of the sewage purification treatment amount of the current segmentation grids is lower than the total amount of the standard high purification treatment amount.

7. The artificial intelligence image processing-based urban sewer network simulation construction method according to claim 6, wherein the obstacle sewage treatment center is a waste sewage treatment center on a preset satellite map area or an underground building facility which obstructs pipeline wiring of a sewage delivery center.

8. The artificial intelligence image processing-based urban sewer network simulation construction method according to claim 1, wherein the sewage treatment center comprises a biological purification tank and a sewage treatment center detection system; the sewage treatment center detection system is used for summarizing and calculating the purification amount of the biological purification tank.