A method and system for selecting a site for connection of a drainage network

Abstract

The present invention provides a method and system for selecting a connection location of a drainage pipe network, including: constructing a city model; analyzing and confirming location factors; using the confirmed location factors to optimize the city model; obtaining the operation information of the drainage pipe network connection in real time to dynamically adjust the city model; and confirming the connection address information of the drainage pipe network according to the city model. By constructing, optimizing, and dynamically adjusting the city model according to the actual urban construction, the connection address information of the drainage pipe network confirmed by the root city model conforms to the current urban construction, which is systematic. In addition, since the connection address information of the drainage pipe network is automatically generated by the city model according to an algorithm, it does not depend on manual experience and has high scientificity, solving the problem that the existing selection of the connection location of the drainage pipe network lacks scientificity and systematicness.

Description

Technical Field

[0001] The present invention relates to the technical field of smart city construction, and particularly to a method and system for selecting the location of drainage network connection points. Background Art

[0002] With the acceleration of the urbanization process, the urban drainage system is facing more and more challenges. The traditional method for selecting the location of drainage connection points is usually to provide the planning and construction CAD drawings to the drainage management department after the connection applications are initiated by units such as industrial parks and residential areas. In the approval process, it is necessary to rely on manual experience and combine the current situation of the drainage network to give a preliminary location for drainage connection, and then conduct on-site verification to confirm the final connection point. The traditional method relies heavily on empirical judgment and lacks scientificity and systematicness.

[0003] In addition, the existing methods for selecting the location of drainage connection points do not integrate the hydrodynamic force of the pipe network, nor do they consider the large-scale topological structure of the urban drainage network globally. The structural census period of the pipe network is once every 5 to 10 years, resulting in an unclear current situation of the drainage network, and it is impossible to verify whether the currently confirmed connection point is the optimal connection point; coupled with serious problems such as illegal discharge, leakage, and wrong connection, the selection of drainage connection locations is like a black box project, leading to problems such as sewage overflow and urban waterlogging, and the phenomenon of repeated treatment is serious.

[0004] Therefore, in order to improve the efficiency and adaptability of the urban drainage system, there is an urgent need for an intelligent method for selecting the location of drainage connection points. Summary of the Invention

[0005] The purpose of the present invention is to provide a method and system for selecting the location of drainage network connection points, so as to at least solve the problem that the existing selection of drainage network connection locations lacks scientificity and systematicness.

[0006] To solve the above technical problems, the present invention provides a method for selecting the location of drainage network connection points, including:

[0007] Construct a city model;

[0008] Analyze and confirm the location factors;

[0009] Optimize the city model by using the confirmed location factors;

[0010] Obtain the operation information of drainage network connection in real time to dynamically adjust the city model;

[0011] Confirm the drainage network connection address information according to the city model.

[0012] Optionally, in the above method for selecting the location of drainage network connection, the method for constructing the city model includes:

[0013] Obtain the network data of the city, including population density, urban terrain, infrastructure, existing drainage facilities, and pipe network connection points;

[0014] Integrate the network data of the city using GIS technology and construct a virtual urban space model using the metaverse technology;

[0015] Build a pipe network health evaluation model based on the virtual urban space model to obtain the urban model.

[0016] Optionally, in the method for selecting the location of drainage pipe network connection, the method for analyzing and confirming the location factors includes:

[0017] Conduct a weighted analysis of the population density to confirm the service demand for drainage connection points;

[0018] Analyze the urban terrain to confirm the impact of the urban terrain on the drainage effect;

[0019] Evaluate the compatibility of the infrastructure to confirm the compatibility between the pipe network connection points and the infrastructure;

[0020] Analyze the potential impact of the existing drainage facilities and pipe network connection points on the surrounding environment.

[0021] Optionally, in the method for selecting the location of drainage pipe network connection, the method for optimizing the urban model using the confirmed location factors includes:

[0022] Define the objective function and constraints;

[0023] According to the objective function and constraints, use the confirmed location factors to optimize the urban model.

[0024] Optionally, in the method for selecting the location of drainage pipe network connection, the objective function includes drainage efficiency, cost, service coverage rate, and degree of environmental impact; the constraints include the service scope, drainage capacity, and safety standards of the pipe network connection points; the method for optimizing the urban model includes one or more of genetic algorithm, particle swarm optimization algorithm, and machine learning method.

[0025] Optionally, in the method for selecting the location of drainage pipe network connection, the method for dynamically adjusting the urban model by obtaining the operation information of the drainage pipe network connection in real time includes:

[0026] Based on the Internet of Things technology, use sensors to obtain the operation information of the drainage pipe network connection in real time;

[0027] Use a preset dynamic adjustment algorithm to dynamically adjust the operation load of the connection pipe network and the layout of the pipe network connection points in the urban model according to the operation information of the drainage pipe network connection obtained in real time.

[0028] Optionally, in the method for selecting a connection location for a drainage pipe network, the method for confirming the connection address information of the drainage pipe network based on the urban model includes:

[0029] According to the planning requirements, confirm multiple location selection plans in the urban model;

[0030] According to the interaction results, confirm the final plan from multiple location selection plans;

[0031] According to the final plan, automatically deploy the pipe network connection points and update the urban model.

[0032] Optionally, in the method for selecting a connection location for a drainage pipe network, the method for confirming multiple location selection plans in the urban model according to the planning requirements includes:

[0033] Set up a knowledge base with real-time updates in the urban model;

[0034] Utilize the knowledge in the knowledge base to confirm multiple location selection plans according to the planning requirements, and the location selection plans include the addresses of the pipe network connection points, expected effects, and potential risks.

[0035] Optionally, in the method for selecting a connection location for a drainage pipe network, the method for selecting a connection location for a drainage pipe network further includes:

[0036] Manage the existing drainage facilities and pipe network connection points.

[0037] To solve the above technical problems, the present invention also provides a system for selecting a connection location for a drainage pipe network, including:

[0038] A model construction module for constructing an urban model;

[0039] A model optimization module for analyzing and confirming the location selection factors and using the confirmed location selection factors to optimize the urban model;

[0040] A model adjustment module for obtaining the operation information of the drainage pipe network connection in real time to dynamically adjust the urban model;

[0041] An address confirmation module for confirming the connection address information of the drainage pipe network based on the urban model.

[0042] A method and system for selecting the location of drainage network connection provided by the present invention include: constructing a city model; analyzing and confirming location factors; optimizing the city model by using the confirmed location factors; obtaining the operation information of drainage network connection in real time to dynamically adjust the city model; and confirming the address information of drainage network connection according to the city model. By constructing, optimizing and dynamically adjusting the city model according to the actual urban construction, the address information of drainage network connection confirmed by the root city model conforms to the current urban construction, which has systematicness. In addition, since the address information of drainage network connection is automatically generated by using the city model according to the algorithm, it does not rely on manual experience and has high scientificity, solving the problems of lack of scientificity and systematicness in the existing selection of drainage network connection location. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a flowchart of a method for selecting the location of drainage network connection provided by this embodiment;

[0044] Figure 2 is a schematic diagram of a drainage network treatment plan provided by this embodiment;

[0045] Figure 3 is a schematic structural diagram of a system for selecting the location of drainage network connection provided by this embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] The following further elaborates on a method and system for selecting the location of drainage network connection proposed by the present invention in conjunction with the accompanying drawings and specific embodiments. It should be noted that the accompanying drawings are all in a very simplified form and use non-precise scales, only for conveniently and clearly assisting in explaining the purpose of the embodiments of the present invention. In addition, the structures shown in the accompanying drawings are often part of the actual structures. In particular, the accompanying drawings need to show different emphases and sometimes use different scales.

[0047] It should be noted that the "first", "second", etc. in the description, claims and drawings of the present invention are used to distinguish similar objects in order to describe the embodiments of the present invention, rather than to describe a specific order or sequence. It should be understood that such structures can be interchanged under appropriate circumstances. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0048] This embodiment provides a method for selecting the location of drainage network connection, as Figure 1 shown, including:

[0049] S1, constructing a city model;

[0050] S2, Analyze and confirm the site selection factors;

[0051] S3, Optimize the urban model using the confirmed site selection factors;

[0052] S4, Obtain the operation information of the drainage pipe network connection in real time to dynamically adjust the urban model;

[0053] S5, Confirm the drainage pipe network connection address information according to the urban model.

[0054] A method for site selection of drainage pipe network connection provided in this embodiment, by constructing, optimizing and dynamically adjusting the urban model according to the actual urban construction, makes the drainage pipe network connection address information confirmed by the urban model conform to the current urban construction, which is systematic; in addition, since the drainage pipe network connection address information is automatically generated by the urban model according to the algorithm, it does not rely on manual experience and has high scientificity, solving the problem that the existing site selection of drainage pipe network connection lacks scientificity and systematicness.

[0055] Specifically, in this embodiment, in step S1, the method for constructing the urban model includes:

[0056] S11, Obtain the network data of the city, including population density, urban terrain, infrastructure, existing drainage facilities and pipe network connection points.

[0057] In practical applications, in addition to the above content, the network data of the city can also include the city's transportation network, landform, buildings, roads, green spaces, etc., and even can include meteorological information, such as rainfall cycle, rainfall amount, etc. The more comprehensive the obtained network data is, the finer the later constructed urban model is, and the more accurate, effective and closer to reality the confirmed drainage pipe network connection address information is.

[0058] S12, Integrate the network data of the city using GIS technology and construct an urban virtual space model using the metaverse technology.

[0059] GIS (Geographic Information System or Geo-Information system, Geographic Information System) is a specific and very important spatial information system. GIS is a technical system that collects, stores, manages, calculates, analyzes, displays and describes the geographical distribution data in the space of the entire or part of the earth's surface (including the atmosphere) under the support of computer hardware and software systems.

[0060] With the help of GIS technology, the obtained network data of the city can be organically processed, thereby constructing an urban virtual space model proportional to the actual city.

[0061] In practical applications, the CIM (Common Information Model) can also be used to organically process the obtained building and infrastructure data, historical drainage connection usage data, population distribution, climate data, etc., and jointly build a urban virtual space model together with GIS technology.

[0062] In addition, metaverse technologies such as virtual reality (VR-AR) can be used to enable the constructed urban virtual space model to be displayed in a visual manner.

[0063] S13. Build a pipeline network health evaluation model based on the urban virtual space model to obtain the urban model.

[0064] In order to better manage various types of data required for the urban virtual space model and effectively evaluate the urban virtual space model, in this embodiment, a pipeline network health evaluation model is also built. The pipeline network health evaluation model is used to implement data governance of the pipeline network, including metadata management of the pipeline network, master data management of the pipeline network, data standard management of the pipeline network, data lineage management of the pipeline network, data fusion processing of the pipeline network, data quality management of the pipeline network, data audit management of the pipeline network, data security management of the pipeline network, data asset management of the pipeline network, etc. That is to say, the urban model described in this embodiment not only includes the urban virtual space model to display the current urban construction situation, but also includes the pipeline network health evaluation model to evaluate the drainage pipeline network situation in the city.

[0065] Furthermore, in this embodiment, in step S2, the method for analyzing and confirming the site selection factors includes:

[0066] S21. Conduct weighted analysis on population density to confirm the service demand of drainage connection points.

[0067] Specifically, in this embodiment, machine learning models such as random forest and neural network can be used to predict the drainage flow at different locations under specific conditions (such as specific population density and specific rainfall events).

[0068] This embodiment gives a calculation method for the predicted value of drainage flow:

[0069]

[0070] Among them, i represents the current urban area; represents the predicted value of the drainage flow in the current urban area; represents the population quantity in the current urban area, which can be obtained through census data; represents the area of the current urban area; represents the drainage demand coefficient of the current urban area; represents the rainfall in the current urban area. A function representing the relationship between rainfall and predicted drainage flow; ML represents a machine learning model, and are model parameters.

[0071] S23. Analyze the urban terrain to confirm the impact of the urban terrain on drainage effect;

[0072] S24. Evaluate the compatibility of infrastructure to confirm the compatibility between pipe network connection points and infrastructure;

[0073] S25. Analyze the potential impact of existing drainage facilities and pipe network connection points on the surrounding environment.

[0074] Specifically, in this embodiment, evaluation factors such as terrain analysis, infrastructure compatibility, and environmental impact assessment need to be comprehensively considered to help the algorithm evaluate the suitability of each potential location. For example, the terrain affects the direction and speed of water flow, thus affecting the drainage effect. Therefore, when selecting a location, the elevation and slope need to be considered.

[0075] This embodiment provides a comprehensive fitness function to consider the suitability of each evaluation factor:

[0076]

[0077]

[0078]

[0079]

[0080] where x represents the current location, represents the terrain analysis of the current location, represents the compatibility analysis between the current location and existing infrastructure, represents the environmental impact analysis of the current location, represents the total suitability analysis of the current location, is an adjustable weight; is the weight of the terrain factor, represents the terrain model parameter, controlling the degree of influence of the terrain on suitability, represents the lowest altitude, represents the altitude of the current location, represents the terrain slope of the current location; is the weight of the compatibility factor, represents the compatibility score between the current location and existing infrastructure; is the weight of the environmental factor, represents the environmental model parameter, controlling the degree of influence of the environment on suitability, Represents the environmental impact score of the current location.

[0081] In practical applications, 、 、 and can all be adjusted according to the actual situation and policy requirements to reflect the importance of different factors. By maximizing the fitness function, the optimal location of the connection point can be selected.

[0082] When using a machine learning model, historical data can be used to train the machine learning model first to ensure the generalization performance and robustness of the machine learning model.

[0083] In addition, in practical applications, in addition to the above-mentioned population density, rainfall, drainage flow, terrain, compatibility of existing drainage facilities, and environmental impact assessment, the location selection factors to be considered can also include other relevant indicators. Through the comprehensive evaluation of the location selection factors, an area with high population density, large weighted flow demand, high infrastructure compatibility, and small environmental impact factors, which can drain efficiently and coexist harmoniously with the surrounding environment, can be selected as the potential location of the connection point, so as to ensure that the location selection of the drainage connection point is more scientific and reasonable.

[0084] Furthermore, in this embodiment, in step S3, the method of optimizing the urban model by using the confirmed location selection factors includes:

[0085] S31, define the objective function and constraints.

[0086] Specifically, in this embodiment, the objective function includes drainage efficiency, cost, service coverage rate, and environmental impact degree. Among them, the drainage efficiency can be to minimize the drainage time or maximize the drainage rate; the cost can be to minimize the total cost of connection point construction and maintenance; the service coverage rate can be to maximize the population coverage ratio served by the connection point; the environmental impact degree can be to minimize the negative impact of the connection point on the surrounding environment.

[0087] And, in this embodiment, the constraints include the service scope, drainage capacity, and safety standards of the pipe network connection point. Among them, the service scope needs to ensure that the service scope of each connection point meets the minimum requirements; the drainage capacity needs to ensure that the connection point can handle the maximum expected flow within its service scope; the safety standards require that the design and location of the connection point must meet the established safety standards.

[0088] Of course, in practical applications, other objective functions and constraints can be set according to actual needs, and this application does not limit this.

[0089] S32, optimize the urban model according to the objective function and constraints by using the confirmed location selection factors.

[0090] Specifically, in this embodiment, the method for optimizing the urban model includes one or more of genetic algorithms, particle swarm optimization algorithms, and machine learning methods.

[0091] For example, a genetic algorithm (multi-objective genetic algorithm) can be used to calculate multiple objective function values for each connection point location (individual) and convert them into fitness scores; individuals are selected for reproduction based on the fitness scores, and those that perform well on multiple objectives are preferentially selected; crossover operations (such as order crossover, partial mapping crossover) are applied to generate new offspring; the offspring individuals are mutated to introduce new genetic diversity; a certain proportion of the most adaptable individuals are directly retained in the next generation to ensure that excellent solutions are not lost; a new population is generated through selection, crossover, and mutation operations; when the predetermined number of iterations is reached or the fitness score no longer improves significantly, the algorithm is stopped; the optimal solution set in the non-dominated sorting is output, and these solutions achieve a balance among multiple objectives.

[0092] In this embodiment, the mathematical expression of the multi-objective genetic algorithm can be:

[0093] Assume that X is the set of all possible connection point locations, is the i-th objective function, is the j-th constraint condition, then the multi-objective optimization problem can be expressed as:

[0094] Maximize / Minimize , , ……, ;

[0095] Subject to , , ……, ;

[0096] where k is the number of objective functions and m is the number of constraint conditions.

[0097] Objective functions:

[0098]

[0099] where, represents the cost, including construction and maintenance costs; represents the service coverage rate, that is, the proportion of the population served by the connection point; represents the environmental impact, such as the degree of interference with the ecosystem; represents the total path length; represents the drainage time under the current rainfall conditions; represents the redundancy of the path, that is, the availability of the alternate path; , , , and are weight coefficients and can be adjusted according to actual situations.

[0100] Constraint conditions:

[0101] g1(location): The connection point must be located in an area where construction is permitted.

[0102] g2(capacity): The drainage capacity of the connection point must meet the maximum expected flow rate.

[0103] g3(path): The connection path must meet the engineering requirements of the structure and materials.

[0104] g4(demand): The connection path must be able to handle the drainage demand under real-time rainfall conditions.

[0105] The multi-objective genetic algorithm is particularly suitable for solving complex problems with multiple conflicting objectives, such as the intelligent location selection problem of drainage connection involved in this application. Through this method, a set of solutions that balance different objectives can be obtained, and finally the decision maker selects the most suitable solution according to the actual situation.

[0106] Of course, when other optimization algorithms are selected, such as the particle swarm optimization algorithm and machine learning methods, those skilled in the art can obtain the corresponding algorithm implementation solutions through the above optimization directions, and this application will not elaborate on them.

[0107] Further, in this embodiment, in step S4, the method for dynamically adjusting the urban model by obtaining the operation information of the drainage pipe network connection in real time includes:

[0108] S41, based on the Internet of Things technology, use sensors to obtain the operation information of the drainage pipe network connection in real time;

[0109] S42, use a preset dynamic adjustment algorithm to dynamically adjust the operation load of the connection pipe network and the layout of the pipe network connection points in the urban model according to the operation information of the drainage pipe network connection obtained in real time.

[0110] Specifically, the operation load of the connection pipe network and the layout of the connection points can be dynamically adjusted according to real-time data, and the two optimal connection points can be selected.

[0111] In this way, the actual urban data information can be synchronized with the virtual urban model, thus ensuring the effectiveness of the drainage pipe network connection address information obtained using the urban model.

[0112] Further, in this embodiment, in step S5, the method for confirming the drainage pipe network connection address information according to the urban model includes:

[0113] S51. According to the planning requirements, confirm multiple site selection schemes in the urban model.

[0114] Specifically, in this embodiment, a knowledge base with real-time updates can be set up in the urban model first. The knowledge base includes the latest urban construction data and drainage technologies. Then, using the knowledge in the knowledge base, confirm multiple site selection schemes according to the planning requirements. The site selection schemes include the addresses of pipe network connection points, expected effects, potential risks, etc.

[0115] S52. According to the interaction results, confirm the final scheme from multiple site selection schemes.

[0116] Specifically, in this embodiment, through the interaction interface, technicians can confirm the scheme that best meets the actual requirements from multiple alternative site selection schemes as the final scheme. Of course, during the selection process, an approval process can also be added, so as to approve and confirm the final scheme by the superior deciding on the content of the subordinate.

[0117] S53. According to the final scheme, automatically deploy the pipe network connection points and update the urban model.

[0118] Specifically, in this embodiment, the final scheme is provided in the form of a detailed decision support report, including the recommended connection points, expected effects, potential risks, etc. When the connection points are confirmed, the urban model will be automatically updated with the content of the final scheme.

[0119] In addition, considering the differences between actual urban construction and the urban model, in this embodiment, a method for selecting the location of drainage pipe network connection also includes:

[0120] Manage the existing drainage facilities and pipe network connection points.

[0121] Specifically, in this embodiment, it is mainly necessary to perform data management, data quality inspection and analysis, and data anomaly repair and update on the nodes (manholes, rainwater inlets, discharge outlets, gates, valves, pump stations, storage tanks, sewage connection points of drainage users) of drainage infrastructure, pipelines (drain pipes, drainage channels), and surfaces (connection ranges of drainage users, water areas, storage facilities). Among them, the drainage static data includes: pipe diameter, pipe age, pipe material, pipe length, pipe bottom elevation, pipeline slope, pipeline burial depth, rainwater zoning, sewage zoning, horizontal net distance, sedimentation thickness, covering depth, soil type, land use type, building distribution, terrain data, permeability coefficient, runoff coefficient, etc.; the drainage dynamic basic data includes: rainfall, river water level, pipeline liquid level, pipeline flow rate, outlet flow rate, waterlogging point water level.

[0122] When treating the drainage pipe network, it is necessary to conduct data quality inspection, analysis, and treatment on the integrity, topological structure, connectivity, scope, elevation, flow direction, pipe diameter, etc. of various original data of drainage infrastructure. For example, integrate and organize data such as CAD data of drainage facilities, tables, documents, pictures related to drainage facilities.

[0123] For example Figure 2 As shown, when conducting data integrity treatment, it is necessary to check item by item whether the data in each data table is filled in completely, and mark problems such as non-unique identification codes.

[0124] In addition, data topology treatment includes: verifying and processing problems such as pipe point overlap, pipeline overlap, isolated points, pipeline misconnection, no out-flow, more than 1 downstream quantity, downstream exists for the discharge outlet, multiple upstream exists for the discharge outlet, upstream inspection exists for the rainwater inlet, node spatial position deviation, pipeline reverse, pipeline connection missing, pipeline reverse slope, looped pipe network or dead-end network, pipeline duplication, pipeline disconnected in the middle, etc., by comparing with relevant index parameters in the pipe network design standard. For example: for pipeline topology anomalies, it is necessary to check whether the start and end codes of the drainage pipe channel are included in the attribute table corresponding to the facility type; for upstream analysis of key points such as discharge outlets and pumping stations, it is necessary to verify whether the upstream nodes and pipelines are connected, and also check whether the receiving water body number of the discharge outlet is included in the data table of receiving water bodies such as rivers and lakes. Topology anomalies can be verified and processed through various pipe network data inspection item parameters integrated in the topology toolbox, and automatically repaired by matching standard values.

[0125] In addition, data anomaly treatment includes: treatment of topological structure anomalies, elevation anomalies, attribute item anomalies, pipe diameter anomalies, flow direction anomalies, pipeline over-length, pipeline reverse slope, pipe network misconnection, etc. For example: for the obviously abnormal invalid pipe diameter in the pipe channel-node topology relationship table found in the topology inspection, set it to zero, and then fill all zero / null pipe diameters according to the upstream and downstream pipe diameter value filling method based on rules to detect and repair abnormal pipe diameter data. The pipe diameter filling scheme can be controlled by input parameters, and at the same time, single isolated empty pipe segments can be identified and the starting empty pipe channel can be deleted. For the pipe top elevation data of the branch pipe segments in the pipe segment branch / multi-way node set found in the topology inspection, process it based on the least squares method, detect the elevation points with large deviation from the fitting curve as abnormal pipe top elevation data to form pipe segment branch elevation data; modify the upstream pipe segment elevation data based on rules, and correct the reference value of the elevation to the corresponding function value on the curve to form multi-way node elevation data; then, based on the connection relationship between the pipe channel and the inspection well elevation for the multi-way node elevation data, detect and repair the elevation anomalies at the multi-way nodes and the elevation anomalies at the inspection well bottom through judgment rules.

[0126] In addition, data connectivity analysis is used to analyze the set of drainage facilities connected to a certain pipe. By using connectivity analysis, it is possible to visually analyze whether the connected topology within a region is complete and discover problems such as network islands and broken ends. All the pipes upstream of the pipeline can be analyzed to obtain the drainage area range, and errors such as network broken ends and misconnections can be visually judged. Problems such as pipelines having no downstream outlets and directly discharging into river channels can be visually analyzed.

[0127] In addition, pipe network profile analysis includes cross-section and longitudinal-section analysis. For information such as the length, slope, and buried depth of pipeline segments, abnormal information such as pipelines being exposed on the ground and pipelines being inserted into the bottom of the well can be discovered. Cross-section analysis reflects the horizontal mutual positions between each pipeline and the situation of underground burial. It can effectively judge the phenomenon of pipeline duplication and redundancy.

[0128] In this way, by treating the existing drainage facilities and pipe network connection points, not only can the existing urban drainage facilities and pipe network connection points be sorted out, and the problems therein be uniformly improved, but also it can be ensured that the established urban model is consistent with the actual urban situation, thereby ensuring that the new connection point is the best connection point.

[0129] This embodiment also provides a system for selecting the location of a drainage pipe network connection, as Figure 3 shown, including:

[0130] A model construction module for constructing an urban model;

[0131] A model optimization module for analyzing and confirming location factors and using the confirmed location factors to optimize the urban model;

[0132] A model adjustment module for obtaining the operation information of the drainage pipe network connection in real time to dynamically adjust the urban model;

[0133] An address confirmation module for confirming the address information of the drainage pipe network connection according to the urban model.

[0134] The method and system for selecting the location of a drainage pipe network connection provided in this embodiment can quickly understand the data of each dimension of the alternative land plots and evaluate them, greatly improving the efficiency, scientificity, and accuracy of location selection. The method and system for selecting the location of a drainage pipe network connection provided in this embodiment form a standardized evaluation standard by integrating expert experience, the structure of the pipe network, defect problems, and the drainage capacity of the pipe network, and perform system automatic scoring through the standardized evaluation system, which helps to eliminate the deviation brought by individual expert judgments, and the evaluation results are more objective and scientific. The method and system for selecting the location of a drainage pipe network connection provided in this embodiment consider multiple factors in intelligent location selection, such as terrain, infrastructure compatibility, and environmental impact, making the location selection more comprehensive and reasonable; through real-time monitoring and dynamic adjustment, the quality of decision-making is improved; through continuous optimization, the evaluation results are more accurate.

[0135] It should be noted that the various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts among the embodiments, reference can be made to each other. In addition, the different parts among the embodiments can also be combined and used, and the present invention does not limit this.

[0136] A method and system for drainage network connection site selection provided in this embodiment include: constructing a city model; analyzing and confirming site selection factors; using the confirmed site selection factors to optimize the city model; obtaining the operation information of the drainage network connection in real time to dynamically adjust the city model; and confirming the drainage network connection address information according to the city model. By constructing, optimizing, and dynamically adjusting the city model according to the actual urban construction, the drainage network connection address information confirmed by the root city model conforms to the current urban construction, which is systematic. In addition, since the drainage network connection address information is automatically generated according to the algorithm using the city model, it does not depend on manual experience and has high scientificity, solving the problem of lack of scientificity and systematicness in the existing drainage network connection site selection.

[0137] The above description is only a description of the preferred embodiments of the present invention, and does not limit the scope of the present invention in any way. Any changes and modifications made by those of ordinary skill in the art of the present invention according to the above disclosure are within the protection scope of the claims.

Claims

1. A method for selecting a site for a drainage network connection, characterized in that: include: Build city models; Analyze and confirm the site selection factors; Optimize the city model using the confirmed location factors; Obtain real-time drainage network connection and operation information to dynamically adjust the city model; Confirm the drainage network connection address information based on the city model; The method for analyzing and confirming the site selection factors includes: Conduct a population density-weighted analysis to identify service needs at drainage connection points; Analyze urban topography to confirm the impact of urban topography on drainage performance; Conduct infrastructure compatibility assessments to confirm the compatibility of pipeline connection points with infrastructure; Analyze the potential impact of existing drainage facilities and pipe network connection points on the surrounding environment; x represents the current location, Represents the terrain analysis of the current location, Represents the compatibility analysis of the current location with existing infrastructure, Indicates the current environmental impact analysis, represents the overall suitability analysis of the current location, is an adjustable weight; is the weight of the terrain factor, Represents the terrain model parameters, which controls the influence of terrain on fitness. Indicates the minimum altitude, Indicates the altitude of the current location. Indicates the terrain slope at the current location; is the compatibility factor weight, A score indicating the compatibility of the current location with existing infrastructure; is the environmental factor weight, Represents the environmental model parameters, controlling the degree of influence of the environment on suitability, Indicates the environmental impact score of the current location.

2. A method for selecting a site for a drainage network connection according to claim 1, characterized in that: The method for constructing a city model comprises: Obtain network data of the city, including population density, urban topography, infrastructure, existing drainage facilities and pipe network connection points; Use GIS technology to integrate the city's network data and use metaverse technology to build a virtual space model of the city; A pipeline network health evaluation model is constructed based on the urban virtual space model to obtain a city model.

3. A method for selecting a site for a drainage network connection according to claim 1, characterized in that: The method for optimizing the city model using the confirmed location factors includes: Define the objective function and constraints; According to the objective function and constraints, the urban model is optimized using the confirmed location factors.

4. A method for selecting a site for a drainage network connection according to claim 3, characterized in that: The objective function includes drainage efficiency, cost, service coverage, and environmental impact; the constraint conditions include the service scope, drainage capacity, and safety standards of the pipeline connection point; and the method for optimizing the urban model includes one or more of a genetic algorithm, a particle swarm optimization algorithm, and a machine learning method.

5. The method for selecting a site for a drainage network connection according to claim 1, wherein: The method for obtaining the drainage network connection operation information in real time to dynamically adjust the city model includes: Based on the Internet of Things technology, sensors are used to obtain real-time information on the connection and operation of the drainage network; Using the preset dynamic adjustment algorithm, the connection network operation load and the layout of the connection points in the urban model are dynamically adjusted according to the real-time drainage network connection operation information.

6. A method for selecting a site for a drainage network connection according to claim 1, characterized in that: The method for confirming the drainage network connection address information based on the city model includes: Confirm multiple site selection options in the city model based on planning requirements; According to the interactive results, the final plan is confirmed from multiple site selection plans; Based on the final plan, pipeline connection points are automatically deployed and the city model is updated.

7. A method for selecting a site for a drainage network connection according to claim 6, characterized in that: The method for confirming multiple site selection options in the city model according to planning requirements includes: Set up a real-time updated knowledge base in the city model; Utilizing the knowledge in the knowledge base, multiple site selection schemes are confirmed according to planning requirements, wherein the site selection schemes include the addresses of the pipe network connection points, expected effects and potential risks.

8. The method for selecting a site for a drainage network connection according to claim 1, wherein: The method for selecting a site for connecting the drainage network further includes: Manage existing drainage facilities and pipeline connection points.

9. A system for selecting a site for a drainage network connection, characterized in that: A method for selecting a site for a drainage network connection applicable to any one of claims 1 to 8, comprising: Model building module, used to build city models; Model optimization module, used to analyze and confirm the location factors, and use the confirmed location factors to optimize the city model; Model adjustment module, used to obtain real-time drainage network connection operation information to dynamically adjust the city model; The address confirmation module is used to confirm the drainage network connection address information based on the city model; In the model optimization module, the method for analyzing and confirming the site selection factors includes: Conduct a population density-weighted analysis to identify service needs at drainage connection points; Analyze urban topography to confirm the impact of urban topography on drainage performance; Conduct infrastructure compatibility assessments to confirm the compatibility of pipeline connection points with infrastructure; Analyze the potential impact of existing drainage facilities and pipe network connection points on the surrounding environment; x represents the current location, Represents the terrain analysis of the current location, Represents the compatibility analysis of the current location with existing infrastructure, Indicates the current environmental impact analysis, represents the overall suitability analysis of the current location, is an adjustable weight; is the weight of the terrain factor, Represents the terrain model parameters, which controls the influence of terrain on fitness. Indicates the minimum altitude, Indicates the altitude of the current location. Indicates the terrain slope at the current location; is the compatibility factor weight, A score indicating the compatibility of the current location with existing infrastructure; is the environmental factor weight, Represents the environmental model parameters, controlling the degree of influence of the environment on suitability, Indicates the environmental impact score of the current location.

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