Three-dimensional visual pipe network management method and system based on digital twinning and medium

Abstract

The invention provides a three-dimensional visual pipe network management method, system and device based on digital twinning and a medium, and the method comprises the steps: obtaining two-dimensional drawing data, operation and maintenance data and information document data of an underground pipe network; converting the two-dimensional drawing data into a three-dimensional model, establishing a unique identifier for each part of the three-dimensional model, and associating the unique identifier with the information document data; building a digital twinborn model based on the three-dimensional model, mapping the operation maintenance data to the digital twinborn model, and simulating and predicting the operation state of the underground pipe network; the prediction result is analyzed and evaluated, and the prediction result and the analysis and evaluation result are visually displayed, so that the problems of separation of data and drawings, difficulty in updating and maintenance, poor consistency and low retrieval and analysis efficiency caused by a traditional manual and paper management mode of the power plant are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent pipe network management, and in particular to a three-dimensional visual pipe network management method, system, equipment and medium based on digital twins. Background Art

[0002] After large power plants are completed and put into operation, their underground spaces develop a highly complex network of pipeline facilities—tens of thousands of power pipelines forming a three-dimensional network, encompassing over ten specialized categories, including power transmission and distribution cables, thermal pipelines, and water supply and drainage networks. Due to historical differences in construction standards and lagging operational and maintenance archive management, underground pipelines are commonly plagued by issues such as lack of archive integrity, coordinate accuracy deviations, and topological misalignment. When pipeline leaks or construction damage occur, traditional manual inspections are time-consuming, and positioning errors lead to a gradual increase in the risk of secondary disasters. The resulting unplanned downtime can cost up to 3 million yuan per day.

[0003] The current management model faces two technical bottlenecks: First, the heterogeneous storage of paper-based drawings and the physical separation of equipment attribute data from two-dimensional drawings creates a "drawing-attribute separation" phenomenon, resulting in long data update lags and low version consistency. Second, there is a disconnect between static data and dynamic operations and maintenance. Manual searches require traversing paper archives, and multidimensional data analysis takes a long time to respond. This results in a lack of data support for underground facility renovation planning and a high rate of decision-making errors. More critically, the system relies too heavily on implicit knowledge, with critical pipeline information stored solely based on the experience of a few experienced engineers. This "living map" management model has posed a significant operational risk, directly threatening the power plant's inherent safety and sustainable development capabilities.

[0004] Therefore, it is urgent to propose a three-dimensional visualization pipeline network management method, system, equipment and medium based on digital twins to solve the technical problems of data and drawings separation, difficulty in updating and maintenance, poor consistency and low retrieval and analysis efficiency caused by traditional manual and paper management methods in power plants. Summary of the Invention

[0005] In order to overcome the problems existing in the related art, the present disclosure provides a three-dimensional visual pipeline network management method, device, equipment and medium based on digital twins to solve the technical problems in the related art of power plants caused by traditional manual and paper management methods, such as separation of data and drawings, difficulty in updating and maintenance, poor consistency and low retrieval and analysis efficiency.

[0006] One or more embodiments of this specification provide a three-dimensional visual pipe network management method based on digital twins, including the following steps:

[0007] Obtain 2D drawing data, operation and maintenance data, and information document data of underground pipeline networks;

[0008] Converting the two-dimensional drawing data into a three-dimensional model, establishing a unique identifier for each component of the three-dimensional model, and associating the unique identifier with the information document data;

[0009] Building a digital twin model based on the three-dimensional model, mapping the operation and maintenance data to the digital twin model, and simulating and predicting the operation status of the underground pipeline network;

[0010] Analyze and evaluate the prediction results, and visualize the prediction results, analysis and evaluation results.

[0011] Preferably, the method further comprises the following steps:

[0012] Integrate the underground pipeline network's lightning module, display module, and communication module with the digital twin model to conduct data interaction and collaboration, and debug and optimize the integration results;

[0013] Obtain the operating parameters and status information of the underground pipeline network in real time and display them visually.

[0014] Preferably, the step of constructing a digital twin model based on the three-dimensional model, mapping the operation and maintenance data to the digital twin model, and simulating and predicting the operation status of the underground pipe network specifically includes the following steps:

[0015] The digital twin model obtains the operation and maintenance data in real time through a data interface;

[0016] Cleaning, converting and preprocessing the operation and maintenance data;

[0017] Store the pre-processed data in a relational database and create data indexes and views;

[0018] Machine learning algorithms are used to predict data, and numerical simulation algorithms are used to dynamically simulate the digital twin model to simulate and predict the operating status of the underground pipeline network.

[0019] Preferably, the method further comprises the following steps:

[0020] The three-dimensional model is imported into a three-dimensional engine, and the three-dimensional model is rendered through material mapping, light and shadow effects and texture details, and the three-dimensional model is displayed, interacted with, and data query and analysis are performed.

[0021] One or more embodiments of this specification provide a three-dimensional visual pipe network management system based on digital twins, including a data acquisition module, a three-dimensional modeling module, a twin model module, and an analysis module;

[0022] The data acquisition module is used to acquire two-dimensional drawing data, operation and maintenance data, and information document data of the underground pipe network;

[0023] The three-dimensional modeling module is used to convert the two-dimensional drawing data into a three-dimensional model, establish a unique identifier for each component of the three-dimensional model, and associate the unique identifier with the information document data;

[0024] The twin model module is used to construct a digital twin model based on the three-dimensional model, map the operation and maintenance data to the digital twin model, and simulate and predict the operation status of the underground pipeline network;

[0025] The analysis module is used to analyze and evaluate the prediction results, and to visualize the prediction results, analysis and evaluation results.

[0026] Preferably, a data interaction module is also included for integrating the lightning module, display module and communication module of the underground pipeline network with the digital twin model to perform data interaction and collaboration, and debug and optimize the integration results;

[0027] Obtain the operating parameters and status information of the underground pipeline network in real time and display them visually.

[0028] Preferably, the twin model module includes an interface unit, a preprocessing unit, an indexing unit and a prediction unit;

[0029] The interface unit is used for the digital twin model to obtain the operation and maintenance data in real time through a data interface;

[0030] The pre-processing unit is used to clean, convert and pre-process the operation and maintenance data;

[0031] The index unit is used to store the pre-processed data in a relational database and establish data indexes and views;

[0032] The prediction unit is used to predict data using a machine learning algorithm, dynamically simulate the digital twin model using a numerical simulation algorithm, and simulate and predict the operating status of the underground pipeline network.

[0033] Preferably, it also includes a model display module for importing the three-dimensional model into a three-dimensional engine, and rendering the three-dimensional model through material mapping, light and shadow effects and texture details, and displaying, interacting, querying and analyzing data of the three-dimensional model.

[0034] One or more embodiments of the present specification provide a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the three-dimensional visual pipeline network management method based on digital twins as described above is implemented.

[0035] One or more embodiments of this specification provide a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the above-mentioned three-dimensional visual pipeline network management method based on digital twins.

[0036] The present disclosure provides a three-dimensional visualization pipeline network management method, system, equipment, and medium based on digital twins. The advantages are: by acquiring two-dimensional drawing data, operation and maintenance data, and information document data of the underground pipeline network, unified digital integration of the two-dimensional drawings, operation and maintenance data, and document materials of the underground pipeline network is achieved; the two-dimensional drawing data is converted into a three-dimensional model, a unique identifier is established for each component of the three-dimensional model, the unique identifier is associated with the information document data, the two-dimensional drawing is converted into a three-dimensional model with a unique identifier, and a precise mapping relationship between the physical entity and the digital model is established; a digital twin model is constructed based on the three-dimensional model, the operation and maintenance data is mapped to the digital twin model, the operating status of the underground pipeline network is simulated and predicted, the accuracy of fault location is improved, and the maintenance response time is shortened; the prediction results are analyzed and evaluated, and the prediction results, analysis and evaluation results are visualized. Through the visualization analysis platform, multi-dimensional spatial analysis, maintenance cycle optimization suggestions, and emergency repair plans are provided to support full life cycle management decisions, reduce pipeline network accident rates, reduce operation and maintenance costs, improve emergency response efficiency, and significantly enhance the intelligent level of power plant pipeline network management. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0038] Figure 1 A flowchart of a three-dimensional visualization pipeline network management method based on digital twins provided in one or more embodiments of this specification;

[0039] Figure 2 Provided for one or more embodiments of this specification;

[0040] Figure 3 Provided for one or more embodiments of this specification;

[0041] Figure 4 A schematic diagram of the structure of a three-dimensional visual pipe network management system based on digital twins provided in one or more embodiments of this specification;

[0042] Figure 5A schematic diagram of the structure of a computer device provided in one or more embodiments of this specification. DETAILED DESCRIPTION

[0043] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the technical solutions in one or more embodiments of this specification will be clearly and completely described below in conjunction with the drawings in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this invention document.

[0044] The present invention will be described in detail below with reference to specific implementation methods and the accompanying drawings.

[0045] Method Example

[0046] According to an embodiment of the present invention, a three-dimensional visualization pipe network management method based on digital twin is provided. Figure 1 FIG. 1 is a flow chart of a three-dimensional visualization pipeline network management method based on digital twins provided in this embodiment. The three-dimensional visualization pipeline network management method based on digital twins according to an embodiment of the present invention includes the following steps:

[0047] S110. Obtain two-dimensional drawing data, operation and maintenance data, and information document data of the underground pipeline network. The two-dimensional drawing data includes CAD drawings (DWG / DXF format), such as power plant pipeline layout diagrams, equipment installation diagrams, and pipeline route diagrams. Preprocessing is performed using Python scripts or the Autodesk Forge API to achieve lightweight drawings and reduce redundant data. Operation and maintenance data includes equipment ledger information, operating parameters, maintenance records, etc., and is stored in a relational database (such as MySQL or Oracle). Specifically, data types include equipment ledger information (such as pipeline materials and specifications), media flowing through the pipes (water, steam, gas, fuel, and chemicals, etc.), real-time operating parameters (pressure / temperature / flow), historical fault records, maintenance work orders, etc. MySQL clusters are used to store structured data, Redis caches frequently accessed data (such as real-time parameters), and Elasticsearch supports full-text search (such as fault keywords). Information document data includes equipment manuals, operating procedures, emergency plans, etc., and is stored in a file server in document format (such as PDF and DOCX). A directory tree is established based on the device ID and shared through the NFS file system. Distributed storage is achieved in combination with MinIO.

[0048] S120. Use professional 3D modeling software to convert the 2D drawing data into a 3D model. The model format adopts the common FBX and OBJ. Specifically, use Blender to batch process CAD drawings to generate low-poly models (number of triangles < 100,000). 3ds Max bakes PBR materials for key equipment (such as valves and sensors). Use the Assimp library to convert the model into GLB format to support efficient loading on the Web. Create a unique identifier for each component of the 3D model, embed JSON metadata (including device ID, coordinates, asset properties) for each model component, and associate the unique identifier with the information document data, such as Figure 2 As shown in the figure, it is a schematic diagram of the process of importing the two-dimensional drawing data into the three-dimensional model provided in this embodiment. OpenCV edge detection + Hough transform is used to extract CAD lines, combined with OCR to recognize the annotated text, and the target detection model (YOLOv5) based on PyTorch is used to identify the equipment symbols (valves, pumps) in the drawings. The detection results are mapped to the ontology library to establish the connection relationship between devices.

[0049] S130: Construct a digital twin model based on the three-dimensional model, obtain real-time operation and maintenance data of the power plant assets through a data interface, map the operation and maintenance data to the digital twin model, simulate and predict the operating status of the underground pipeline network, use machine learning algorithms, such as neural networks and decision trees, to model and predict the data, and use numerical simulation algorithms to dynamically simulate the pipeline network model to simulate the operating status of the pipeline network under different operating conditions. Finite element analysis software, such as ANSYS, ABAQUS, or a self-developed simulation program, can be used to achieve synchronous updating of the model and data.

[0050] Bind the BIM model with IoT real-time data through the MQTT protocol, convert the GPS coordinates of the IoT device into the local coordinate system of the BIM model to achieve spatiotemporal data fusion, and then implement incremental updates (DeltaSync) of the model status based on the timestamp. Calibrate the sensor and model timestamps based on the NTP protocol, and integrate PhysX or Havok to implement pipeline fluid dynamics simulation, such as Figure 3 As shown, this is a schematic diagram of the construction process of the digital twin model provided in this embodiment.

[0051] S140. Use data mining algorithms to analyze and evaluate the prediction results, and visualize the prediction results, analysis and evaluation results. Use WebGL technology to display the three-dimensional model on the web page. Users can access the platform through a browser and perform interactive operations. Develop mobile applications (such as iOS and Android) to display and operate the platform on mobile devices, providing decision support for the operation and maintenance, fault diagnosis, and optimized scheduling of the pipeline network.

[0052] The method provided in this embodiment realizes the unified digital integration of the two-dimensional drawings, operation and maintenance data, and document materials of the underground pipeline network by acquiring the two-dimensional drawing data, operation and maintenance data, and information document data of the underground pipeline network; converts the two-dimensional drawing data into a three-dimensional model, establishes a unique identifier for each component of the three-dimensional model, associates the unique identifier with the information document data, converts the two-dimensional drawing into a three-dimensional model with a unique identifier, and establishes a precise mapping relationship between the physical entity and the digital model; constructs a digital twin model based on the three-dimensional model, maps the operation and maintenance data to the digital twin model, simulates and predicts the operating status of the underground pipeline network, improves the accuracy of fault location, and shortens the maintenance response time; analyzes and evaluates the prediction results, and visualizes the prediction results, analysis and evaluation results, and provides multi-dimensional spatial analysis, maintenance cycle optimization suggestions, and emergency repair plans through a visual analysis platform to support full life cycle management decisions, reduce pipeline network accident rates, reduce operation and maintenance costs, improve emergency response efficiency, and significantly improve the intelligent level of power plant pipeline management.

[0053] In one embodiment, the following steps are further included:

[0054] After integrating the lightning module, display module and communication module of the underground pipeline network with the digital twin model, data interaction and collaboration are carried out, and the integration results are debugged and optimized to ensure the normal operation of each system and the accuracy of the data.

[0055] The developed pipeline detector uses sensor technology to obtain the operating parameters and status information of the underground pipeline network in real time and display it visually.

[0056] The method provided in this embodiment can comprehensively, real-timely and accurately monitor and manage underground pipeline networks, greatly improving the safety and stability of pipeline network operation, effectively improving management efficiency, and providing solid technical support for the reliable operation of power plant infrastructure.

[0057] In one embodiment, the digital twin model is constructed based on the three-dimensional model, the operation and maintenance data is mapped to the digital twin model, and the operation status of the underground pipe network is simulated and predicted, specifically comprising the following steps:

[0058] Develop a data interface with the existing information system of the power plant. The digital twin model obtains the operation and maintenance data in real time through the data interface using RESTful API, SOAP, etc., to achieve real-time data acquisition and update.

[0059] The operation and maintenance data is cleaned, converted and pre-processed to ensure the accuracy and consistency of the data.

[0060] Store the preprocessed data in a relational database, and create data indexes and views to facilitate data query and analysis.

[0061] Machine learning algorithms are used to predict data, and numerical simulation algorithms are used to dynamically simulate the digital twin model to simulate and predict the operating status of the underground pipeline network.

[0062] The method provided in this embodiment realizes the accurate simulation and efficient prediction of the operating status of the underground pipeline network, provides solid and powerful data support and decision-making basis for the scientific operation and maintenance, fault prevention and reasonable planning of the underground pipeline network, and greatly improves the intelligence and refinement level of underground pipeline network management.

[0063] In one embodiment, the following steps are further included:

[0064] The three-dimensional model is imported into a three-dimensional engine, and the three-dimensional model is rendered through material mapping, lighting effects and texture details. The visible area model is dynamically loaded through a quadtree structure, and a custom lighting model is written through GLSL to display, interact, query and analyze the data of the three-dimensional model. Comprehensive and continuous three-dimensional accurate pipeline path modeling is carried out for the underground pipeline corridor of the entire plant area to complete the construction of the digital twin model of the pipeline network. After the twin is constructed, the layout of the entire underground pipeline network of the power plant can be observed from all directions and with a wide field of view. Any environment, pipeline, valve, and well in the twin model corresponds to the real state one by one and is given its own attributes (circulating medium, direction, burial depth, process parameters, etc.), making the underground pipeline world no longer mysterious. Focusing on data accuracy, error control, realistic simulation, detail coverage, functional simulation, compatibility and scalability, as well as documentation and instructions, a three-dimensional virtual asset of the underground pipeline network is formed.

[0065] System Example

[0066] According to an embodiment of the present invention, a three-dimensional visual pipe network management system based on digital twin is provided. Figure 4 As shown, this is a structural diagram of the three-dimensional visual pipe network management system based on digital twins provided in this embodiment. According to the three-dimensional visual pipe network management system based on digital twins according to an embodiment of the present invention, it includes a data acquisition module 41, a three-dimensional modeling module 42, a twin model module 43 and an analysis module 44.

[0067] The data acquisition module 41 is used to acquire two-dimensional drawing data, operation and maintenance data, and information document data of the underground pipeline network.

[0068] The three-dimensional modeling module 42 is used to convert the two-dimensional drawing data into a three-dimensional model, establish a unique identifier for each component of the three-dimensional model, and associate the unique identifier with the information document data.

[0069] The twin model module 43 is used to build a digital twin model based on the three-dimensional model, map the operation and maintenance data to the digital twin model, and simulate and predict the operation status of the underground pipeline network.

[0070] The analysis module 44 is used to analyze and evaluate the prediction results, and to visualize the prediction results, analysis and evaluation results.

[0071] The device provided in this embodiment acquires two-dimensional drawing data, operation and maintenance data, and information document data of the underground pipeline network through a data acquisition module 41, thereby realizing unified digital integration of the two-dimensional drawings, operation and maintenance data, and document data of the underground pipeline network. The three-dimensional modeling module 42 converts the two-dimensional drawing data into a three-dimensional model, establishes a unique identifier for each component of the three-dimensional model, associates the unique identifier with the information document data, converts the two-dimensional drawing into a three-dimensional model with a unique identifier, and establishes a precise mapping relationship between the physical entity and the digital model. The twin model module 43 constructs a digital twin model based on the three-dimensional model, maps the operation and maintenance data to the digital twin model, simulates and predicts the operating status of the underground pipeline network, improves the accuracy of fault location, and shortens the maintenance response time. The analysis module 44 analyzes and evaluates the prediction results, and visually displays the prediction results, analysis results, and evaluation results. Through the visual analysis platform, it provides multi-dimensional spatial analysis, maintenance cycle optimization suggestions, and emergency repair plans to support full life cycle management decisions, reduce pipeline network accident rates, reduce operation and maintenance costs, improve emergency response efficiency, and significantly improve the intelligent level of urban pipeline network management.

[0072] In one embodiment, a data interaction module is also included, which is used to integrate the lightning module, display module and communication module of the underground pipeline network with the digital twin model to conduct data interaction and collaboration, debug and optimize the integration results, obtain the operating parameters and status information of the underground pipeline network in real time, and perform visual display.

[0073] The device provided in this embodiment can monitor and manage underground pipelines in an all-round, real-time and accurate manner, greatly improving the safety and stability of pipeline operation, effectively improving management efficiency, and providing solid technical support for the reliable operation of urban infrastructure.

[0074] In one embodiment, the twin model module 43 includes an interface unit, a preprocessing unit, an indexing unit, and a prediction unit. The interface unit is used for the digital twin model to obtain the operation and maintenance data in real time through a data interface. The preprocessing unit is used to clean, convert, and preprocess the operation and maintenance data. The indexing unit is used to store the preprocessed data in a relational database and establish data indexes and views. The prediction unit is used to predict the data using a machine learning algorithm, dynamically simulate the digital twin model using a numerical simulation algorithm, and simulate and predict the operating status of the underground pipeline network.

[0075] The device provided in this embodiment realizes accurate simulation and efficient prediction of the operating status of the underground pipeline network, provides solid and powerful data support and decision-making basis for the scientific operation and maintenance, fault prevention and reasonable planning of the underground pipeline network, and greatly improves the intelligence and refinement level of underground pipeline network management.

[0076] In one embodiment, a model display module is further included, which is used to import the three-dimensional model into a three-dimensional engine, and render the three-dimensional model through material mapping, light and shadow effects and texture details, and to display, interact, query and analyze data of the three-dimensional model.

[0077] The embodiment of the present invention is an apparatus embodiment corresponding to the above-mentioned method embodiment. The specific operations of the processing steps of each module can be understood by referring to the description of the method embodiment, and will not be repeated here.

[0078] like Figure 5 As shown, the present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the three-dimensional visualization pipeline management method in the above embodiment is implemented, or when the computer program is executed by a processor, the three-dimensional visualization pipeline management method based on digital twins in the above embodiment is implemented.

[0079] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0080] Each embodiment in this specification is described in a progressive manner. The same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device or system embodiments, since they are basically similar to the method embodiments, the description is relatively simple. For the relevant parts, refer to the partial description of the method embodiments. The device and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. A person of ordinary skill in the art can understand and implement it without making any creative efforts.

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and the contents not described in detail in the specification of the present invention belong to the common knowledge of those skilled in the art.

Claims

1. A three-dimensional visual pipe network management method based on digital twins, characterized in that: The following steps are involved: Obtain 2D drawing data, operation and maintenance data, and information document data of underground pipeline networks; Converting the two-dimensional drawing data into a three-dimensional model, establishing a unique identifier for each component of the three-dimensional model, and associating the unique identifier with the information document data; Building a digital twin model based on the three-dimensional model, mapping the operation and maintenance data to the digital twin model, and simulating and predicting the operation status of the underground pipeline network; Analyze and evaluate the prediction results, and visualize the prediction results, analysis and evaluation results.

2. The three-dimensional visualization pipe network management method based on digital twins according to claim 1 is characterized in that: The following steps are also included: Integrate the underground pipeline network's lightning module, display module, and communication module with the digital twin model to conduct data interaction and collaboration, and debug and optimize the integration results; Obtain the operating parameters and status information of the underground pipeline network in real time and display them visually.

3. The three-dimensional visualization pipe network management method based on digital twins according to claim 1 is characterized in that: The digital twin model is constructed based on the three-dimensional model, the operation and maintenance data is mapped to the digital twin model, and the operation status of the underground pipeline network is simulated and predicted, which specifically includes the following steps: The digital twin model obtains the operation and maintenance data in real time through a data interface; Cleaning, converting and preprocessing the operation and maintenance data; Store the pre-processed data in a relational database and create data indexes and views; Machine learning algorithms are used to predict data, and numerical simulation algorithms are used to dynamically simulate the digital twin model to simulate and predict the operating status of the underground pipeline network.

4. The three-dimensional visualization pipe network management method based on digital twins according to claim 1 is characterized in that: The following steps are also included: The three-dimensional model is imported into a three-dimensional engine, and the three-dimensional model is rendered through material mapping, light and shadow effects and texture details, and the three-dimensional model is displayed, interacted with, and data query and analysis are performed.

5. A three-dimensional visual pipe network management system based on digital twins, characterized in that: It includes data acquisition module, 3D modeling module, twin model module and analysis module; The data acquisition module is used to acquire two-dimensional drawing data, operation and maintenance data, and information document data of the underground pipe network; The three-dimensional modeling module is used to convert the two-dimensional drawing data into a three-dimensional model, establish a unique identifier for each component of the three-dimensional model, and associate the unique identifier with the information document data; The twin model module is used to construct a digital twin model based on the three-dimensional model, map the operation and maintenance data to the digital twin model, and simulate and predict the operation status of the underground pipeline network; The analysis module is used to analyze and evaluate the prediction results, and to visualize the prediction results, analysis and evaluation results.

6. The three-dimensional visual pipe network management system based on digital twin according to claim 5, characterized in that: It also includes a data interaction module, which is used to integrate the lightning module, display module, and communication module of the underground pipeline network with the digital twin model to conduct data interaction and collaboration, and to debug and optimize the integration results; Obtain the operating parameters and status information of the underground pipeline network in real time and display them visually.

7. The three-dimensional visual pipe network management system based on digital twin according to claim 5, characterized in that: The twin model module includes an interface unit, a preprocessing unit, an indexing unit and a prediction unit; The interface unit is used for the digital twin model to obtain the operation and maintenance data in real time through a data interface; The pre-processing unit is used to clean, convert and pre-process the operation and maintenance data; The index unit is used to store the pre-processed data in a relational database and establish data indexes and views; The prediction unit is used to predict data using a machine learning algorithm, dynamically simulate the digital twin model using a numerical simulation algorithm, and simulate and predict the operating status of the underground pipeline network.

8. The three-dimensional visual pipe network management system based on digital twin according to claim 5, characterized in that: It also includes a model display module for importing the three-dimensional model into a three-dimensional engine, and rendering the three-dimensional model through material mapping, light and shadow effects and texture details, and displaying, interacting, querying and analyzing data of the three-dimensional model.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, it implements the three-dimensional visualization pipeline network management method based on digital twins as described in any one of claims 1 to 4.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the three-dimensional visualization pipeline network management method based on digital twins are implemented as described in any one of claims 1 to 4.

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