GIS (Geographic Information System) and CIM (Common Information Model)-based universe virtual space drainage connection intelligent site selection system

Abstract

The invention provides a drainage connection intelligent site selection system based on GIS and CIM meta universe virtual space, and aims to realize intelligent site selection and optimal management of connection points of an urban drainage pipe network through an advanced geographic information system and an urban information model technology. Comprising a model construction module, a drainage pipe network generation module, a model optimization module, a model adjustment module, an address confirmation module, a governance module and an interaction module, a city model and a drainage pipe network model are optimized and dynamically adjusted according to actual city construction, and drainage pipe network connection address information conforms to current city construction; the drainage pipe network connection address information is automatically generated by adopting an algorithm according to the city model and the drainage pipe network model, high scientificity is achieved, the city model and the drainage pipe network model can be dynamically adjusted according to the real-time city construction data, the problem that existing drainage pipe network connection address selection is lack of scientificity and systematicness is solved, and the service life of the drainage pipe network is prolonged. And powerful technical support is provided for planning and management of an urban drainage system.

Description

Technical Field

[0001] The present invention relates to the technical field of smart city construction, and more specifically, to an intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space. Background Art

[0002] With the acceleration of urbanization, urban drainage systems are facing more and more challenges. The traditional method of selecting drainage connection points is usually to provide planning and construction CAD drawings to the drainage management department after the park, community and other units initiate the connection application. In the approval process, it is necessary to rely on manual experience and the current status of the drainage network to give the drainage connection pre-selection site, and then conduct on-site verification to confirm the final connection point. The traditional method relies heavily on experience judgment and lacks scientificity and systematicness.

[0003] In addition, the existing method for selecting the site for drainage connection points does not integrate the hydrodynamics of the pipeline network, nor does it take into account the overall topological structure of the large-scale drainage pipeline network in the city. The structural survey cycle of the pipeline network is every 5 to 10 years, which leads to an unclear status of the drainage pipeline network and no way to verify whether the currently confirmed connection point is the optimal connection point. Coupled with the serious problems of illegal drainage, leakage and wrong connection, the site selection of drainage connection is like a black box project, which leads to problems such as sewage overflow and urban waterlogging, and the phenomenon of repeated governance is serious.

[0004] Therefore, in order to improve the efficiency and adaptability of urban drainage systems, an intelligent drainage connection point site selection system is urgently needed. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space, so as to at least solve the problem that the existing drainage network connection site selection lacks scientificity and systematicness.

[0006] In order to solve the above technical problems, the present invention provides an intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space, including: Model building module, used to build city models; Drainage network generation module, used to build drainage network model; Model optimization module, used to analyze and confirm the site selection factors, and use the confirmed site selection factors to optimize the urban model and drainage network model; Model adjustment module, used to obtain drainage network connection operation information in real time to dynamically adjust the city model and drainage network model; An address confirmation module is used to confirm the drainage network connection address information based on the city model and the drainage network model; The management module is used to manage existing drainage facilities and pipe network connection points; Site selection module, used for site selection, address editing, model editing, model demonstration and simulation.

[0007] The present invention provides a drainage connection intelligent site selection system based on GIS and CIM metaverse virtual space, including: constructing a city model and a drainage network model; analyzing and confirming the site selection factors; optimizing the city model and the drainage network model using the confirmed site selection factors; obtaining drainage network connection operation information in real time to dynamically adjust the city model and the drainage network model; and confirming the drainage network connection address information according to the city model and the drainage network model. By constructing, optimizing and dynamically adjusting the city model and the drainage network model according to actual urban construction, the drainage network connection address information confirmed by the city model and the drainage network model conforms to the current urban construction and is systematic; in addition, since the drainage network connection address information is automatically generated according to the algorithm using the city model and the drainage network model, the city model and the drainage network model can be dynamically adjusted according to the real-time urban construction data, and it does not rely on manual experience, and it has a high scientificity, which solves the problem that the existing drainage network connection site selection lacks scientificity and systematicity, and provides strong technical support for the planning and management of urban drainage systems.

[0008] Optionally, in the intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space, the method for constructing the city model and the drainage network model includes: Obtain basic data of the city, including population density, urban topography, and infrastructure; Obtain basic data of the drainage network, including existing drainage facilities and network connection points; Use GIS technology to integrate the basic data of the city, and use Metaverse technology to build a virtual space model of the city and the virtual space model of the drainage network; Based on the urban virtual space model and the drainage network virtual space model, a network health evaluation model is constructed to obtain the urban model and drainage network model. Through advanced geographic information system and urban information model technology, intelligent site selection and optimal management of urban drainage network connection points are realized.

[0009] Optionally, in the intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space, the method for analyzing and confirming the site selection factors includes: Conduct a population density-weighted analysis to identify service needs at sewer connection points; Analyze urban topography to confirm the impact of urban topography on drainage performance; Conduct infrastructure compatibility assessment 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.

[0010] Optionally, in the intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space, based on the weighted analysis of population density to confirm the service demand of drainage connection points, a method for calculating the drainage flow prediction value is given:

[0011] Among them, i represents the current city area; It represents the predicted value of drainage flow in the current urban area; Indicates the current population of the urban area, which can be obtained through census data; Indicates the area of ​​the current urban area; Indicates the drainage demand coefficient of the current urban area; Indicates the rainfall in the current urban area. represents the relationship function between rainfall and drainage flow prediction value; ML represents the machine learning model, are model parameters.

[0012] Optionally, in the intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space, based on the analysis of the potential impact of existing drainage facilities and pipe network connection points on the surrounding environment, a comprehensive fitness function is given to consider the suitability of each evaluation factor:

[0013]

[0014]

[0015]

[0016] Among them, 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 environmental impact analysis of the current location, represents the overall suitability analysis of the current location, is an adjustable weight; is the weight of terrain factor, Represents the terrain model parameters, controlling the influence of terrain on suitability. 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, Represents the environmental impact score of the current location.

[0017] Optionally, in the intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space, the method for optimizing the city model and the drainage network model by using the confirmed site selection factors includes: Define the objective function and constraints; According to the objective function and constraints, the urban model and drainage network model are optimized using the confirmed site selection factors.

[0018] Optionally, in the intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space, 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; the method for optimizing the urban model and the drainage network model includes one or more of genetic algorithms, particle swarm optimization algorithms, and machine learning methods.

[0019] Optionally, in the intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space, the method for obtaining drainage network connection operation information in real time to dynamically adjust the city model and the drainage network 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 network connection points in the urban model and the drainage network model are dynamically adjusted according to the real-time drainage network connection operation information.

[0020] Optionally, in the intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space, the drainage confirmation according to the city model and the drainage network model includes: According to planning requirements, multiple site selection options are confirmed in the urban model and drainage network model; According to the interactive results, the final plan is confirmed from multiple site selection plans; According to the final plan, the pipe network connection points are automatically deployed, and the urban model and drainage network model are updated.

[0021] Optionally, in the intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space, the method for confirming multiple site selection schemes in the city model and the drainage network model according to planning requirements includes: Set up a real-time updated urban drainage knowledge base in the urban model and drainage network model; Using the knowledge in the urban drainage knowledge base, multiple site selection schemes are confirmed according to planning requirements, and the site selection schemes include the addresses of pipe network connection points, expected effects and potential risks.

[0022] Compared with the prior art, the present invention is beneficial in that: through advanced geographic information system and urban information model technology, intelligent site selection and optimized management of urban drainage network connection points are realized. In addition, the drainage network connection address information is automatically generated according to the algorithm using the urban model, and the urban model and drainage network model can be dynamically adjusted according to real-time urban construction data. It does not rely on manual experience and has high scientificity. It solves the problem that the existing drainage network connection site selection lacks scientificity and systematicity, and provides strong technical support for the planning and management of urban drainage systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a structural schematic diagram of an intelligent site selection system for drainage connection in virtual space based on GIS and CIM metaverse of the present invention.

[0024] Figure 2 This is a schematic diagram of a management solution for the intelligent site selection system for virtual space drainage connection based on GIS and CIM metaverse according to the present invention.

[0025] Figure 3 This is a model demonstration diagram of the intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space of the present invention.

[0026] Figure 4 The present invention is a flow chart of a method for intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space. DETAILED DESCRIPTION

[0027] The method and system for selecting the site for connecting the drainage network proposed by the present invention are further described in detail below in combination 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 proportions, which are only used to conveniently and clearly assist in explaining the purpose of the embodiments of the present invention. In addition, the structure shown in the accompanying drawings is often a part of the actual structure. In particular, the emphasis of each accompanying drawing is different, and sometimes different proportions are used.

[0028] It should be noted that the terms "first", "second", etc. in the specification, 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 the structures used in this way can be interchanged under appropriate circumstances. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] Example like Figure 1 As shown, this embodiment provides an intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space, including: Model building module, used to build city models; Drainage network generation module, used to build drainage network model; Model optimization module, used to analyze and confirm the site selection factors, and use the confirmed site selection factors to optimize the urban model and drainage network model; Model adjustment module, used to obtain drainage network connection operation information in real time to dynamically adjust the city model and drainage network model; An address confirmation module is used to confirm the drainage network connection address information based on the city model and the drainage network model; The management module is used to manage existing drainage facilities and pipe network connection points; Site selection module, used for site selection, address editing, model editing, model demonstration and simulation. The present embodiment provides a drainage connection intelligent site selection system based on GIS and CIM metaverse virtual space, which can quickly understand the data of various dimensions of the candidate plots and evaluate them, greatly improving the efficiency, scientificity and accuracy of site selection. The present embodiment provides a drainage connection intelligent site selection system based on GIS and CIM metaverse virtual space, which forms a standardized evaluation standard by combining expert experience, the structure of the pipe network, defects, and the drainage capacity of the pipe network, and automatically scores the system through a standardized evaluation system, which helps to eliminate the deviation caused by the expert's personal judgment, and the evaluation result is more objective and scientific. The present invention provides a drainage connection intelligent site selection system based on GIS and CIM metaverse virtual space, which aims to realize the intelligent site selection and optimized management of the connection points of the urban drainage pipe network through advanced geographic information system and urban information model technology. The present embodiment provides a drainage connection intelligent site selection system based on GIS and CIM metaverse virtual space, in which intelligent site selection takes into account multiple factors, such as terrain, infrastructure compatibility and environmental impact, making the site 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.

[0030] Specifically, Figure 2 As shown, in this embodiment, step S1, the method for constructing a city model and a drainage network model includes: S11, obtain basic data of the city, including population density, urban topography, and infrastructure; S12, obtaining basic data of the drainage network, including existing drainage facilities and network connection points.

[0031] In practical applications, in addition to the above, the basic data of the city can also include the city's transportation network, landforms, buildings, roads, green spaces, etc., and even meteorological information, such as rainfall cycles, rainfall, etc. The more comprehensive the basic data obtained, the more refined the city model constructed later, and the more accurate, effective and closer to reality the confirmed drainage network connection address information will be.

[0032] S13, use GIS technology to integrate the basic data of the city, and use metaverse technology to build a virtual space model of the city and a virtual space model of the drainage network.

[0033] GIS (Geographic Information System or Geo-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 entire or part of the earth's surface (including the atmosphere) space with the support of computer hardware and software systems.

[0034] With the help of GIS technology, the basic data of the city and the drainage network can be organically processed, so as to construct a virtual space model of the city and the drainage network that are proportional to the actual city.

[0035] In practical applications, CIM (City Information Model) can also be used to organically process the acquired building and infrastructure data, historical drainage connection usage data, population distribution, climate data, etc., and jointly construct the urban virtual space model and drainage network virtual space model together with GIS technology.

[0036] In addition, metaverse technologies, such as virtual reality (VR-AR), can be used to display the constructed urban virtual space model and drainage network virtual space model in a visual way.

[0037] S14, constructing a pipe network health evaluation model based on the urban virtual space model and the drainage pipe network virtual space model to obtain an urban model and a drainage pipe network model.

[0038] In order to better manage the various types of data required for the urban virtual space model and the drainage network virtual space model, and to effectively evaluate the urban virtual space model and the drainage network virtual space model, in this embodiment, a network health evaluation model is also constructed. The network health evaluation model is used to implement data governance of the network, including metadata management of the network, network master data management, network data standard management, network data lineage management, network data fusion processing, network data quality management, network data audit management, network data security management, network data asset management, etc. In other words, the city model and drainage network model described in this embodiment not only include the urban virtual space model and the drainage network virtual space model to display the current urban construction situation, but also include a network health evaluation model to evaluate the drainage network situation in the city.

[0039] Furthermore, in this embodiment, step S2, the method of analyzing and confirming the site selection factor includes: S21, perform a weighted analysis of population density to determine the service demand at the drainage connection point.

[0040] Specifically, in this embodiment, machine learning models, such as random forests, neural networks, etc., can be used to predict the drainage flow at different locations under specific conditions (such as specific population density and specific rainfall events).

[0041] This embodiment provides a method for calculating the drainage flow prediction value:

[0042] Among them, i represents the current city area; It represents the predicted value of drainage flow in the current urban area; Indicates the current population of the urban area, which can be obtained through census data; Indicates the area of ​​the current urban area; Indicates the drainage demand coefficient of the current urban area; Indicates the rainfall in the current urban area. represents the relationship function between rainfall and drainage flow prediction value; ML represents the machine learning model, are model parameters.

[0043] S22, analyze the urban topography to confirm the impact of urban topography on drainage performance; S23, conduct an assessment of the compatibility of infrastructure to confirm the compatibility of the pipeline network connection points with the infrastructure; S24, analyze the potential impact of existing drainage facilities and pipe network connection points on the surrounding environment.

[0044] Specifically, in this embodiment, it is necessary to comprehensively consider evaluation factors such as terrain analysis, infrastructure compatibility, and environmental impact assessment to help the algorithm evaluate the suitability of each potential site. For example, the terrain will affect the direction and speed of water flow, thereby affecting the drainage effect. Therefore, the height and slope of the terrain need to be considered when selecting a site.

[0045] This embodiment provides a comprehensive fitness function to consider the suitability of each evaluation factor:

[0046]

[0047]

[0048]

[0049] Among them, 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 environmental impact analysis of the current location, represents the overall suitability analysis of the current location, is an adjustable weight; is the weight of terrain factor, Represents the terrain model parameters, controlling the influence of terrain on suitability. 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, Represents the environmental impact score of the current location.

[0050] In practical applications, , , and All of them can be adjusted according to actual conditions and policy requirements to reflect the importance of different factors. By maximizing the fitness function, the best connection point location can be selected.

[0051] When using a machine learning model, you can first try to train the machine learning model with historical data to ensure the generalization performance and robustness of the machine learning model.

[0052] In addition, in practical applications, in addition to the above-mentioned population density, rainfall, drainage flow, terrain, compatibility with existing drainage facilities, and environmental impact assessment, the site selection factors to be considered may also include other relevant indicators. Through a comprehensive evaluation of the site selection factors, areas with high population density, large weighted flow demand, high infrastructure compatibility, and small environmental impact factors, which can both efficiently drain water and coexist harmoniously with the surrounding environment, are selected as potential connection points, thereby ensuring that the site selection of drainage connection points is more scientific and reasonable.

[0053] Furthermore, in this embodiment, in step S3, the method of optimizing the city model using the confirmed location factors includes: S31, define the objective function and constraints; Specifically, in this embodiment, the objective function includes drainage efficiency, cost, service coverage, and environmental impact. Among them, drainage efficiency can be to minimize drainage time or maximize drainage rate; cost can be to minimize the total cost of connection point construction and maintenance; service coverage can be to maximize the population coverage ratio of connection point services; and environmental impact can be to minimize the negative impact of connection points on the surrounding environment.

[0054] And, in this embodiment, the constraints include the service range, drainage capacity, and safety standards of the pipe network connection point. Among them, the service range needs to ensure that the service range 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 range; the safety standard requires that the design and location of the connection point must meet the established safety standards.

[0055] Of course, in practical applications, other objective functions and constraints can be set according to actual needs, and this application does not impose any restrictions on this.

[0056] S32, according to the objective function and constraints, the urban model and the drainage network model are optimized using the confirmed site selection factors.

[0057] Specifically, in this embodiment, the method for optimizing the city model includes one or more of a genetic algorithm, a particle swarm optimization algorithm, and a machine learning method.

[0058] For example, a genetic algorithm (multi-objective genetic algorithm) can be used to calculate multiple objective function values ​​for each connection point position (individual) and convert them into fitness scores; select individuals for reproduction based on the fitness scores, giving priority to those that perform well on multiple objectives; apply crossover operations (such as sequential crossover, partial mapping crossover) to produce new offspring; mutate the offspring individuals to introduce new genetic diversity; retain a certain proportion of the most fit individuals to directly enter the next generation to ensure that excellent solutions are not lost; generate a new population through selection, crossover and mutation operations; stop the algorithm when a predetermined number of iterations is reached or the fitness score is no longer significantly improved; output the optimal solution set in the non-dominated sorting, which strikes a balance between multiple objectives.

[0059] In this embodiment, the mathematical expression of the multi-objective genetic algorithm can be: Assume X is the set of all possible connection point locations, is the ith objective function, is the jth constraint, the multi-objective optimization problem can be expressed as: Maximize / Minimize , ,……, ; constraint , ,……, ; Where k is the number of objective functions and m is the number of constraints.

[0060] Objective function:

[0061] in, represents costs, including construction and maintenance costs; represents the service coverage, i.e. the proportion of the population served by the access point; Indicates environmental impact, such as the degree of interference with the ecological and environmental protection system; Indicates the total length of the path; Indicates the drainage time under current rainfall conditions; Indicates the redundancy of the path, that is, the availability of the backup path; , , , and is the weight coefficient, which can be adjusted according to actual conditions.

[0062] Constraints: g1(location): The connection point must be located in an area where construction is allowed.

[0063] g2 (capacity): The drainage capacity of the connection point must meet the maximum expected flow.

[0064] g3(path): The connection path must meet the engineering requirements of structure and materials.

[0065] g4(demand): The connection path must be able to handle the drainage demand under real-time rainfall conditions.

[0066] Multi-objective genetic algorithms are particularly suitable for solving complex problems with multiple conflicting objectives, such as the intelligent site selection problem of drainage connection involved in this application. Through this method, a set of solutions that balance different objectives can be obtained, and the decision maker will eventually choose the most appropriate solution based on the actual situation.

[0067] Of course, when other optimization algorithms are selected, such as particle swarm optimization algorithm and machine learning method, those skilled in the art can obtain the corresponding algorithm implementation scheme through the above-mentioned optimization direction, and this application will not go into details.

[0068] Furthermore, in this embodiment, in step S4, the method of obtaining the drainage network connection operation information in real time to dynamically adjust the city model and the drainage network model includes: S41, based on the Internet of Things technology, uses sensors to obtain real-time information on the connection and operation of the drainage network; S42, using a preset dynamic adjustment algorithm, dynamically adjusting the connection pipe network operation load and the layout of the pipe network connection points in the city model and the drainage pipe network model according to the drainage pipe network connection operation information obtained in real time.

[0069] Specifically, the operating load of the connecting pipeline network and the layout of the connecting points can be dynamically adjusted according to real-time data, and the best two connecting points can be selected.

[0070] In this way, the actual city data information can be synchronized with the virtual city model and drainage network model, thereby ensuring the validity of the drainage network connection address information obtained using the city model and drainage network model.

[0071] Furthermore, in this embodiment, in step S5, the method for confirming the drainage network connection address information according to the city model and the drainage network model includes: S51, based on planning requirements, confirm multiple site selection options in the urban model and drainage network model.

[0072] Specifically, in this embodiment, a real-time updated urban drainage knowledge base can be set up in the city model first, and the urban drainage knowledge base includes the latest urban construction data and drainage technology; then, using the knowledge in the urban drainage knowledge base, multiple site selection plans are confirmed according to planning requirements, and the site selection plans include the addresses of pipeline connection points, expected effects and potential risks, etc.

[0073] S52: confirming a final solution from multiple site selection solutions based on the interaction result.

[0074] Specifically, in this embodiment, the technical personnel can confirm the solution that best meets the actual needs from multiple alternative site selection solutions as the final solution through the interactive interface. Of course, in the selection process, an approval process can also be added, so that the final solution can be approved and confirmed by the superior deciding the subordinate content.

[0075] S53, according to the final plan, automatically deploys pipe network connection points and updates the city model and drainage pipe network model.

[0076] Specifically, in this embodiment, the final plan is provided in the form of a detailed decision support report, including recommended connection points, expected effects and potential risks, etc. When the connection points are confirmed, the city model and drainage network model will be automatically updated with the content of the final plan.

[0077] In addition, considering the differences between actual urban construction and the urban model, the governance module in this embodiment includes: Specifically for existing drainage, in this embodiment, it is mainly necessary to conduct data governance, data quality inspection and analysis, data anomaly repair and update for the nodes (inspection wells, rainwater inlets, discharge outlets, gates, valves, pumping stations, storage tanks, sewage connection points for drainage households), pipelines (drainage pipes, drainage channels), and surfaces (drainage household connection range, water area, storage facilities) of the drainage infrastructure. Among them, the static drainage data include: pipe diameter, pipe age, pipe material, pipe length, pipe bottom elevation, pipe slope, pipe burial depth, rainwater division, sewage division, horizontal clearance, sediment thickness, cover depth, soil type, land use type, building distribution, terrain data, permeability coefficient, runoff coefficient, etc.; the dynamic basic drainage data include: rainfall, river water level, pipe network liquid level, pipe network flow, outlet flow, and water level at waterlogging points.

[0078] When managing the drainage network, it is necessary to check, analyze and manage the integrity, topology, connectivity, range, elevation, flow direction, pipe diameter and other original data of the drainage infrastructure. For example, the drainage facility CAD data, drainage facility-related tables, documents, pictures and other data need to be integrated and sorted.

[0079] like Figure 3 As shown, the model demonstration and simulation of the interactive module of this embodiment are shown in the figure. The model demonstration is a combination of urban locations and urban drainage pipe networks. The green lines are existing drainage pipes, the yellow lines are urban roads, and the red lines represent the fullness of the drainage pipes. The darker the color, the higher the fullness. The demonstration can also observe the sewage treatment and rainwater collection conditions, and feedback the real-time status and forecast conditions. In addition, the interactive module of this embodiment also includes address selection, address editing, and model editing (not shown in the figure).

[0080] like Figure 4 As shown, when conducting data integrity management, you should check whether each data in each data table is complete, and mark problems such as non-unique identification codes.

[0081] In addition, data topology governance includes: for pipe point overlap, pipeline overlap, isolated points, pipeline misconnection, no outflow, downstream number greater than 1, downstream of the discharge port, multiple upstream of the discharge port, upstream of the rainwater outlet, node spatial position offset, pipeline reversal, pipeline connection loss, pipeline reverse slope, ring network or broken network, pipeline duplication, pipeline disconnection in the middle, etc., combined with the comparison of relevant indicator parameters in the pipeline network design standard for verification and processing. For example: for pipeline topology anomalies, it is necessary to check whether the start and end codes of the drainage channel are included in the attribute table of the corresponding facility type; for upstream analysis of key points such as discharge ports and pumping stations, it is necessary to check whether the nodes and pipelines upstream are connected, and whether the receiving water body number of the discharge port is included in the data table of receiving water bodies such as rivers and lakes. Topological anomalies can be verified and processed through the various pipe network data inspection item parameters integrated in the topology toolbox, and the standard values ​​can be matched to automatically repair topological anomalies.

[0082] In addition, data anomaly management includes: topological structure anomalies, elevation anomalies, attribute item anomalies, pipe diameter anomalies, flow direction anomalies, pipeline overlength, pipeline reverse slope, pipe network misconnection, etc. For example: for the invalid pipe diameters with obvious abnormalities in the pipe-node topological relationship table found in the topological check, set them to zero, and then fill all zero / empty pipe diameters according to the rule-based upstream and downstream pipe diameter value filling method to detect and repair abnormal pipe diameter data. The pipe diameter filling scheme can be controlled by input parameters, and a single isolated empty pipe section can also be identified and the empty pipe channel at the beginning can be deleted. The pipe top elevation data of the branch pipe sections in the pipe section branch / multi-pass node set found in the topology check are processed based on the least squares method, and the elevation points with a large deviation from the fitting curve are detected as abnormal pipe top elevation data to form pipe section branch elevation data; the upstream pipe section elevation data is modified based on the rules, and the reference value of the corrected elevation is the corresponding function value on the curve to form multi-pass node elevation data; then, the elevation data of the multi-pass node is based on the connection relationship between the elevations of the pipeline and the inspection well, and the elevation anomalies at the multi-pass nodes and the elevation anomalies at the bottom of the inspection well are detected and repaired through judgment rules.

[0083] And, data connectivity analysis is used to analyze the collection of drainage facilities connected to the pipeline. Connectivity analysis can intuitively analyze whether the connected topology within the region is complete, and find network islands, disconnections and other errors. Analyze all pipelines upstream of the pipeline, obtain the drainage partition range, and intuitively judge network disconnections, wrong connections and other error information. Intuitively analyze problems such as no downstream outlets and direct discharge to rivers.

[0084] And, pipeline network profile analysis, including cross-section and longitudinal section analysis. According to the pipeline segment length, slope, buried depth information, etc., abnormal information such as pipeline exposed on the ground and pipeline inserted into the bottom of the well is found. The cross-section analysis reflects the horizontal position of each pipeline and the underground burial situation. It can effectively determine the duplication and redundancy of pipelines.

[0085] In this way, by managing the existing drainage facilities and pipeline connection points, we can not only sort out the existing urban drainage facilities and pipeline connection points and make unified improvements to the problems therein, but also ensure that the established urban model and drainage pipeline model are consistent with the actual status of the city, thereby ensuring that the new connection point is the best connection point.

[0086] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the technical solution of the present invention, and are not intended to limit the specific implementation methods of the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the claims of the present invention shall be included in the protection scope of the claims of the present invention.

Claims

1. An intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space, including: Model building module, used to build city models; Drainage network generation module, used to build drainage network model; Model optimization module, used to analyze and confirm the site selection factors, and use the confirmed site selection factors to optimize the urban model and drainage network model; Model adjustment module, used to obtain drainage network connection operation information in real time to dynamically adjust the city model and drainage network model; An address confirmation module is used to confirm the drainage network connection address information based on the city model and the drainage network model; The management module is used to manage existing drainage facilities and pipe network connection points; Interactive modules for site selection, site editing, model editing, model demonstration and simulation.

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

3. According to claim 1, a GIS and CIM metaverse virtual space drainage connection intelligent site selection system is characterized in that: The method for analyzing and confirming the site selection factors includes: Conduct a population density-weighted analysis to identify service needs at sewer connection points; Analyze urban topography to confirm the impact of urban topography on drainage performance; Assess the compatibility of infrastructure 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.

4. According to claim 3, a GIS and CIM metaverse virtual space drainage connection intelligent site selection system is characterized in that: Based on the weighted analysis of population density to confirm the service demand of drainage connection points, a method for calculating the drainage flow prediction value is given: Among them, i represents the current city area; Indicates the predicted value of drainage flow in the current urban area; Indicates the current population of the urban area, which can be obtained through census data; Indicates the area of ​​the current urban area; Indicates the drainage demand coefficient of the current urban area; Indicates the rainfall in the current urban area. represents the relationship function between rainfall and drainage flow prediction value; ML represents the machine learning model, are model parameters.

5. According to claim 3, a GIS and CIM metaverse virtual space drainage connection intelligent site selection system is characterized in that: Based on the analysis of the potential impact of existing drainage facilities and pipe network connection points on the surrounding environment, a comprehensive fitness function is given to consider the suitability of each evaluation factor: Among them, 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 environmental impact analysis of the current location, represents the overall suitability analysis of the current location, is an adjustable weight; is the weight of terrain factor, Represents the terrain model parameters, controlling the influence of terrain on suitability. 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, Represents the environmental impact score of the current location.

6. The intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space according to claim 1 is characterized in that: The method for optimizing the urban model and the drainage network model by using the confirmed site selection factors includes: Define the objective function and constraints; According to the objective function and constraints, the urban model and drainage network model are optimized using the confirmed site selection factors.

7. The intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space according to claim 6 is 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 pipe network connection point; the method for optimizing the urban model and the drainage pipe network model includes one or more of a genetic algorithm, a particle swarm optimization algorithm, and a machine learning method.

8. The intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space according to claim 1 is characterized in that: The method for obtaining the drainage network connection operation information in real time to dynamically adjust the city model and the drainage network 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 network connection points in the urban model and the drainage network model are dynamically adjusted according to the real-time drainage network connection operation information.

9. The intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space according to claim 1 is characterized in that: The drainage confirmation based on the city model and the drainage network model includes: According to planning requirements, multiple site selection options are confirmed in the urban model and drainage network model; According to the interactive results, the final plan is confirmed from multiple site selection plans; According to the final plan, the pipe network connection points are automatically deployed, and the urban model and drainage network model are updated.

10. The intelligent site selection system for drainage connection based on GIS and CIM metaverse virtual space according to claim 9 is characterized in that: The method for confirming multiple site selection schemes in the city model and the drainage network model according to planning requirements includes: Set up a real-time updated urban drainage knowledge base in the urban model and drainage network model; Using the knowledge in the urban drainage knowledge base, multiple site selection schemes are confirmed according to planning requirements, and the site selection schemes include the addresses of pipe network connection points, expected effects and potential risks.

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