Underground space management system and method for modular intelligent digital modeling
The modular intelligent digital modeling system has solved problems such as incomplete data and frequent accidents in underground space management, enabling precise management and scientific decision-making for underground spaces and objects, and improving construction efficiency and safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SANMEN NUCLEAR POWER CO LTD
- Filing Date
- 2025-11-24
- Publication Date
- 2026-04-24
AI Technical Summary
Existing technologies are unable to effectively manage underground spaces and objects, leading to problems such as frequent accidents, untimely emergency response, lack of scientific basis in design, high construction costs, and incomplete risk identification.
A modular intelligent digital modeling system is adopted, including a data storage layer, a data governance layer, a multi-dimensional digital model relationship layer, and a spatial digital model display layer. Modular digital models are constructed through knowledge graph technology and large language models to achieve unified management and visualization of underground space and objects.
It enables precise management of underground space and objects, reduces human error, improves construction efficiency and safety, scientifically formulates emergency response measures, reduces costs, and enhances the scientific nature of design and construction.
Smart Images
Figure CN121920646A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the fields of knowledge graph technology, underground space technology, three-dimensional model technology, digital twin technology, and computer technology, and specifically relates to a modular intelligent digital modeling underground space management system and method. Background Technology
[0002] With the increasing demand for underground infrastructure development, underground pipe networks are becoming more diverse, wider in scope, more complex in distribution, and growing at an increasingly rapid pace. During construction, incomplete data on underground spaces and objects leads to incidents such as gas explosions, power outages, water outages, and network disruptions, resulting in casualties and property damage. Furthermore, a lack of precise data management results in inaccurate accident location and risk identification, leading to delayed emergency responses. The absence of timely data management and real-time model updates contributes to frequent accidents. Finally, the lack of visualization in underground data management results in a lack of scientific basis for design and decision-making.
[0003] Traditional underground pipeline management models are no longer sufficient to meet management needs, and the main problems are as follows: They only manage underground objects, not underground space; design and construction input information is insufficient; unclear signage leads to incorrect pipeline connections and accidents; data is fragmented, making data acquisition and analysis difficult; unclear location leads to pipeline damage, disrupting daily life and work; incomplete equipment data results in a lack of preventative maintenance and functional loss; unclear pipeline types lead to inadequate emergency preparedness; unclear underground pipeline layout increases construction costs; unclear pipeline layout leads to unreasonable construction procedures, increasing costs; inconsistent pipeline symbols increase the cost of spare parts preparation and construction; there is a lack of scientific data to provide a scientific basis for underground pipeline design; and there is a lack of flexible configuration models to assist in scientific design. Summary of the Invention
[0004] The purpose of this invention is to provide a modular intelligent digital modeling underground space management system and method, which can realize advanced management of underground space and management of underground objects; establish a unified symbol library and pipeline model library to achieve disambiguation management of underground space and objects, and achieve unified understanding and expression; realize the establishment of a digital twin to create a visualized multi-dimensional digital model; realize modular digital model drawing, segmentation and embedding; realize digital simulation exercise of the scheme, eliminate risks, and improve the efficiency and effectiveness of emergency rescue and construction, among other functions.
[0005] Technical solution to achieve the purpose of this invention:
[0006] A modular intelligent digital modeling underground space management system, the system comprising:
[0007] Data storage layer: used to store underground space, underground objects, pipe fitting models, and basic legend data, forming an underground data twin database;
[0008] Data governance layer: used to realize the perception and computation of underground data twins through metadata governance and data dictionary technology;
[0009] Multidimensional Digital Model Relationship Layer: Used to build modular digital models and generate topological relationship graphs from the governed data generated by the data governance layer through knowledge graph technology, semantic association technology, and large language model training.
[0010] Spatial Digital Model Display Layer: Used to display modular digital models and topological relationship diagrams.
[0011] The data storage layer includes: an underground space data storage module, an underground object data storage module, a pipe fitting model data storage module, and a legend data storage module.
[0012] The data governance includes the acquisition, classification, fusion, correction, and editing of data stored in the data storage layer.
[0013] The data governance layer includes a standard dictionary module, an encoding management module, a coordinate management module, and an expert evaluation module.
[0014] The multidimensional digital model relationship layer sets a unified coordinate system and scale. Using semantic association technology and large language model training, it extracts attributes, semantically associates, vectorizes data, unifies coordinate system and scale, and forms spatial, attribute and association relationships between underground space and underground object data to construct a modular digital model of underground space and underground objects. Using the vector data obtained from data vectorization, it connects points, lines, surfaces and volumes. Based on the spatial, attribute and association relationships between underground space and underground object data, it forms continuous space and topological adjacency relationships, generating topological relationship diagrams between spaces, between spaces and objects, and between objects.
[0015] The modular digital model and topological relationship diagram of the multidimensional digital model relationship layer include 0-dimensional model, 1-dimensional model, 2-dimensional model, 3-dimensional model and topological model.
[0016] The system also includes a model simulation demonstration layer, used to acquire segmented 3D models and topological relationship diagrams of underground spaces and objects, conduct analysis, design, and simulation exercises in the segmented 3D models, and embed the design results into the corresponding positions of the overall digital model to form a new overall 3D model; or to accurately locate underground spaces and objects using the overall 3D model, and conduct accident analysis, plan formulation, simulation exercises, and risk assessment using the segmented 3D models and topological relationship diagrams; the model simulation demonstration layer includes: individual 3D models, overall 3D models, segmented 3D models, embedded 3D models, and accident models.
[0017] The system also includes a big data display layer, which is used to display data such as the number of online users on the platform, the amount of different types of data, and the dynamics of key areas of focus. The big data display layer includes a detection module, a big data display module, a login and authorization module, a knowledge map module, and a system maintenance module.
[0018] The system also includes a basic capability layer for time synchronization management, user management, organizational structure management, access control management, security management, and audit logs; the basic capability layer includes user management module, organizational structure management module, access control module, security management module, and audit logs module.
[0019] A modular intelligent digital modeling method for underground space management, the method comprising:
[0020] Step 1: Data acquisition and storage to form an underground data twin database;
[0021] Step 2: Data governance, generating unique, computer-recognizable, and computable post-governance data;
[0022] Step 3: Data calculation, constructing a modular digital model and generating a topology diagram;
[0023] Step 4: Data visualization, including modular digital model and topology diagram visualization;
[0024] Step 5: Data application, with simulation demonstrations in modular digital models and topology diagrams;
[0025] Step 6: Big data visualization to enable scientific management and decision-making.
[0026] The beneficial technical effects of this invention are as follows:
[0027] This invention provides a modular intelligent digital modeling underground space management system, capable of managing underground spaces and objects; achieving intelligent modeling to reduce human error; enabling zoned implementation and centralized management of underground data; achieving underground data visualization for scientific management of underground engineering construction; enabling scientific planning of construction procedures for underground pipeline projects to ensure schedules and reduce costs; enabling risk identification and safety early warning for surface-to-underground pipeline projects to improve safety levels; enabling precise analysis of regional accidents, scientifically formulating emergency response measures, and improving response quality and efficiency; enabling health status management of underground pipeline equipment, preventing maintenance and reducing accidents; achieving unified pipeline symbols to reduce accidental connection and disconnection; accurately identifying and locating faulty equipment to improve response speed; enabling digital design and risk assessment to improve the scientific nature of design and construction; enabling flexible model configuration and model extraction and embedding to provide scientific design, construction, and decision-making, and reduce the impact; expanding smart construction sites from above-ground to underground three-dimensional management; and enabling digital simulation of underground construction schemes to avoid risks and improve efficiency. Attached Figure Description
[0028] Figure 1 An architecture diagram of a modular intelligent digital modeling underground space management system provided by the present invention;
[0029] Figure 2 A flowchart illustrating a modular intelligent digital modeling method for underground space management provided by this invention. Detailed Implementation
[0030] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.
[0031] In this specification, unless the context clearly indicates otherwise, the term "underground space" refers to the space composed of inanimate objects such as natural geological bodies and man-made structures below the earth's surface, which is a continuum; "underground object" refers to an entity that occupies a certain position and range in the underground space, has a certain shape and properties, and has a certain spatial relationship with other objects; "topological surface" refers to the shared surface between underground modules formed based on vector data of a unified coordinate system and a unified scale, including shared surfaces between spaces, between underground spaces and underground objects, and between underground objects, which is part or all of the spatial object surface.
[0032] like Figure 1 As shown, this invention provides a modular intelligent digital modeling underground space management system, comprising:
[0033] Data storage layer: Used to store basic data on underground space, underground objects, pipe fitting models, and legends, forming an underground data twin database. Data in the data storage layer comes from input, import, and online mapping, providing the foundation for the data governance layer, the 3D model relationship layer, and data analysis.
[0034] The data storage layer includes: a data storage module for underground space (physical and chemical underground space data represented by grid core samples), a data storage module for underground objects, a data storage module for pipe fitting models, and a data storage module for legends.
[0035] The pipe fitting model data storage module designs pipe fittings as a unified library of pipe fitting model drawings, specifications, and colors.
[0036] Data governance layer: This layer performs data governance on the underground data twin database through steps such as building a data catalog, designing metadata, analyzing data content, performing data lineage analysis, cleaning, merging, and aligning, generating unique, computer-identifiable, and computable post-governance data. Data governance includes acquiring, classifying, merging, correcting, and editing data stored in the data storage layer. For data that is difficult for the system to govern, experts analyze and manually correct it, and then feed it back into the database.
[0037] The data governance layer includes a standard dictionary module for storing governed data entering the layer. Its primary function is data storage, and another important function is serving as a standard for data alignment. A coding management module is used for computer-computable identification of data lineage. This module enables the visualization of data uniqueness and lineage relationships, providing key values for data computation. A coordinate management module is used to identify underground spaces, enabling the location of underground spaces and objects using vectorized data. An expert assessment module is included for data that cannot be aligned using technical means. Experts can use their professional experience and knowledge to compare data with data in the standard dictionary module, revise and align these data, and then feed the results back to the standard dictionary module.
[0038] Multidimensional Digital Model Relationship Layer: This layer uses knowledge graph technology and semantic association technology to vectorize, classify, and coordinate the data in the data governance layer, generating visualized knowledge graphs and topological relationship graphs. It constructs a large language model by continuously building new knowledge graphs and expanding the knowledge relationship graph through the analysis of data relationships and the learning and training of existing knowledge graphs, thus generating modular digital models and topological relationship graphs.
[0039] The multidimensional digital model relationship layer establishes a unified coordinate system and scale. Using semantic association technology and large language model training, it extracts attributes, performs semantic association, vectorizes data, unifies coordinate systems, and standardizes scales on remediated underground space (raster data represented by rock cores) and underground object data. This establishes spatial, attribute, and relational relationships between the underground space and underground object data, constructing modular digital models of underground space and underground objects. These modular digital models can be of different sizes and built as needed. Modular digital models include overall 3D models and segmented 3D models.
[0040] Using vector data obtained through data vectorization, points, lines, surfaces, and volumes are connected. Based on the spatial, attribute, and association relationships between underground space data and underground object data, continuous spaces and topological adjacency relationships are formed, generating topological relationship diagrams between spaces, between spaces and objects, and between objects.
[0041] The modular digital model and topological relationship diagram of the multidimensional digital model relationship layer include 0-dimensional model, one-dimensional model, two-dimensional model, three-dimensional model and topological model.
[0042] The multidimensional numerical model relation layer can form a complete topological surface for discrete objects in underground space using data and relational line segments, thus achieving the continuity of discrete space; it can form a topographic map for the location, extent, and characteristics of underground objects such as underground pipelines using data and vector line segments, showing the relative positional relationships; it can realize the establishment of modular models and meet the needs of exporting and inserting module data, achieving overall management with vector data; through the single-entity expression of entity data, inserted data expression, and topological data expression, it can display the characteristics of underground space and the relationships between underground objects with vectorized data, unified scale, and three-dimensional expression.
[0043] Spatial Digital Model Display Layer: Used to display modular digital models of underground spaces and objects, as well as topological relationship diagrams between spaces, between spaces and objects, and between objects.
[0044] The spatial digital model display layer can also be used to extract digital models and analyze individual attribute items and relational attribute items of underground spaces and underground objects.
[0045] Specifically, the spatial digital model display layer extracts digital models of the required scope based on the defined physical area, and conducts targeted analysis of individual attribute items and relational attribute items of underground space and underground objects, providing a scientific basis for underground space management such as the design, implementation and decision-making of underground data.
[0046] Model simulation demonstration layer: used to acquire segmented 3D models and topological relationship diagrams of underground spaces and objects, conduct analysis, design, and simulation exercises in the segmented 3D models, embed the design results into the corresponding positions of the overall digital model to form a new overall 3D model; or to accurately locate underground spaces and objects through the overall 3D model, and conduct accident analysis, plan formulation, simulation exercises, and risk assessment through the segmented 3D models and topological relationship diagrams.
[0047] The model simulation demonstration layer includes: single 3D model, overall 3D model, segmented 3D model, embedded 3D model, and accident model.
[0048] When the model simulation demonstration layer is used for new construction, renovation, or expansion needs, it obtains the segmented 3D model and topological relationship diagram of underground space and underground objects based on the needs. Analysis, design, and construction drills are carried out in the segmented 3D model. After the digital design is completed, the design results are embedded into the corresponding position of the overall digital model by embedding the 3D model to form an integrated 3D digital model, i.e., a new overall digital model.
[0049] The model simulation demonstration layer is used when emergency response needs arise. After an above-ground or underground event (accident) occurs, the accident location can be accurately located through the overall 3D model and individual 3D model of the underground space and underground objects. By analyzing the accident trend through the segmented 3D model and accident model, corresponding solutions can be formulated, response plan drills can be carried out, risks can be identified, and the response effect and efficiency can be improved.
[0050] The model simulation demonstration layer can also extract a full-element data model of a custom physical area, allowing designers, reviewers, and decision-makers to complete the simulation in a visual environment and then insert it into the original model. This enables data to be carried out before the actual project, thus avoiding various risks.
[0051] The model simulation demonstration layer can also provide a virtual visualization environment for activities such as construction management and emergency management, enabling scientific decision-making, unified management, precise application, and improved efficiency in underground engineering.
[0052] Big Data Presentation Layer: Used to display data that needs to be shown, such as the number of online users on the platform, the volume of different types of data, and the dynamics of key areas of focus.
[0053] The big data presentation layer includes a detection module, a big data display module, a login and authorization module, a knowledge map module, and a system maintenance module.
[0054] The system of this invention also includes a basic capability layer for time synchronization management, user management, organizational structure management, access control management, security management, and audit logs.
[0055] The basic capability layer includes a user management module, an organizational structure management module, a permission management module, a security management module, and an audit log module.
[0056] This invention also provides a modular intelligent digital modeling method for underground space management, comprising:
[0057] Step 1: Data acquisition and storage to form an underground data twin database.
[0058] The system acquires basic data on underground space, underground objects, pipe fitting models, and legends through three methods: data entry, import, and online mapping. This data is then stored to form an underground data twin database.
[0059] The underground space data includes surveying and mapping data and core data, while the underground object data includes underground pipeline data.
[0060] Step 2: Data governance, generating unique, computer-recognizable, and computable post-governance data.
[0061] Data governance is performed on the data in the underground data twin database to generate unique, computer-identifiable, and computable post-governance data. Data governance includes:
[0062] Data classification and fusion: Automatic classification and semantic fusion of stored data through knowledge graph technology and large language models;
[0063] Data correction and editing: By using a large language model, the data is corrected and edited to form complete data;
[0064] Data standardization output: Generate unique, computer-recognizable, and computable data.
[0065] Step 3: Data calculation, constructing a modular digital model and generating a topology diagram.
[0066] Attribute extraction, semantic association, data vectorization, unified coordinate system, and unified scale are performed on the treated underground space (raster data represented by rock cores) data and underground object data to form spatial relationships, attribute relationships, and association relationships between underground space data and underground object data, and to construct a modular digital model of underground space and underground objects.
[0067] Using vector data obtained through data vectorization, points, lines, surfaces, and volumes are connected. Based on the spatial, attribute, and association relationships between underground space data and underground object data, continuous spaces and topological adjacency relationships are formed, generating topological relationship diagrams between spaces, between spaces and objects, and between objects.
[0068] Step 4: Data visualization, including modular digital models and topology diagrams.
[0069] The modular digital model and topology diagram are displayed, including the modular digital model of underground space and underground objects, the topology diagram of space-to-space, the topology diagram of space-to-object, and the topology diagram of object-to-object.
[0070] Step 5: Data application – simulation demonstration using modular digital models and topology diagrams.
[0071] Obtain segmented 3D models and topological relationship diagrams of underground spaces and objects from modular digital models. Conduct analysis, design, and simulation exercises in the segmented 3D models. Embed the design results into the corresponding positions of the overall digital model to form a new overall 3D model. Alternatively, use the overall 3D model of underground spaces and objects for precise positioning. Use the segmented 3D models and topological relationship diagrams for accident analysis, plan development, simulation exercises, and risk assessment.
[0072] Step 6: Big data visualization to enable scientific management and decision-making.
[0073] The platform displays data such as the number of online users, the volume of different types of data, and the dynamics of key areas of focus; it also enables user management, organizational structure management, access control, security management, and audit logs.
[0074] The present invention has been described in detail above with reference to the accompanying drawings and embodiments. However, the present invention is not limited to the above embodiments, and various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention. All contents not described in detail in the present invention can be derived from existing technologies.
Claims
1. A modular intelligent digital modeling underground space management system, characterized in that, The system includes: Data storage layer: used to store underground space, underground objects, pipe fitting models, and basic legend data, forming an underground data twin database; Data governance layer: used to realize the perception and computation of underground data twins through metadata governance and data dictionary technology; Multidimensional Digital Model Relationship Layer: Used to build modular digital models and generate topological relationship graphs from the governed data generated by the data governance layer through knowledge graph technology, semantic association technology, and large language model training. Spatial Digital Model Display Layer: Used to display modular digital models and topological relationship diagrams.
2. The modular intelligent digital modeling underground space management system according to claim 1, characterized in that, The data storage layer includes: an underground space data storage module, an underground object data storage module, a pipe fitting model data storage module, and a legend data storage module.
3. The modular intelligent digital modeling underground space management system according to claim 1, characterized in that, The data governance includes the acquisition, classification, fusion, correction, and editing of data stored in the data storage layer.
4. The modular intelligent digital modeling underground space management system according to claim 1, characterized in that, The data governance layer includes a standard dictionary module, an encoding management module, a coordinate management module, and an expert evaluation module.
5. The modular intelligent digital modeling underground space management system according to claim 1, characterized in that, The multidimensional digital model relationship layer sets a unified coordinate system and scale. Using semantic association technology and large language model training, it extracts attributes, semantically associates, vectorizes data, unifies coordinate system and scale, and forms spatial, attribute and association relationships between underground space and underground object data to construct a modular digital model of underground space and underground objects. Using the vector data obtained from data vectorization, it connects points, lines, surfaces and volumes. Based on the spatial, attribute and association relationships between underground space and underground object data, it forms continuous space and topological adjacency relationships, generating topological relationship diagrams between spaces, between spaces and objects, and between objects.
6. The modular intelligent digital modeling underground space management system according to claim 1, characterized in that, The modular digital model and topological relationship diagram of the multidimensional digital model relationship layer include 0-dimensional model, 1-dimensional model, 2-dimensional model, 3-dimensional model and topological model.
7. The modular intelligent digital modeling underground space management system according to claim 1, characterized in that, The system also includes a model simulation demonstration layer, used to acquire segmented 3D models and topological relationship diagrams of underground spaces and objects, conduct analysis, design, and simulation exercises in the segmented 3D models, and embed the design results into the corresponding positions of the overall digital model to form a new overall 3D model; or to accurately locate underground spaces and objects using the overall 3D model, and conduct accident analysis, plan formulation, simulation exercises, and risk assessment using the segmented 3D models and topological relationship diagrams; the model simulation demonstration layer includes: individual 3D models, overall 3D models, segmented 3D models, embedded 3D models, and accident models.
8. The modular intelligent digital modeling underground space management system according to claim 1, characterized in that, The system also includes a big data display layer, which is used to display data such as the number of online users on the platform, the amount of different types of data, and the dynamics of key areas of focus. The big data display layer includes a detection module, a big data display module, a login and authorization module, a knowledge map module, and a system maintenance module.
9. The modular intelligent digital modeling underground space management system according to claim 1, characterized in that, The system also includes a basic capability layer for time synchronization management, user management, organizational structure management, access control management, security management, and audit logs; the basic capability layer includes user management module, organizational structure management module, access control module, security management module, and audit logs module.
10. A modular intelligent digital modeling method for underground space management, employing the modular intelligent digital modeling underground space management system described in any one of claims 1-9, characterized in that, The method includes: Step 1: Data acquisition and storage to form an underground data twin database; Step 2: Data governance, generating unique, computer-recognizable, and computable post-governance data; Step 3: Data calculation, constructing a modular digital model and generating a topology diagram; Step 4: Data visualization, including modular digital model and topology diagram visualization; Step 5: Data application, with simulation demonstrations in modular digital models and topology diagrams; Step 6: Big data visualization to enable scientific management and decision-making.