Project-level visual display method and system for highway multi-source data fusion

Abstract

The invention discloses a project-level visualization display method and system for highway multi-source data fusion, and the method comprises the following steps: 1, constructing a multi-source heterogeneous data exchange and integration frame, and carrying out the seamless connection and mapping of a BIM model, GIS space geographic information and an oblique photography three-dimensional point cloud model; 2, formulating a standardized interface specification, and performing specification processing on data from different sources through a data analysis and conversion engine; 3, dynamically and synchronously updating the multi-source engineering data and the project progress in real time; 4, gathering engineering data to construct a digital twinborn model of the expressway project to realize centralized management, multi-dimensional analysis and dynamic presentation in a visual scene; 5, carding and extracting management business logic to construct a flexibly expanded professional application module so as to realize intelligent analysis of the engineering project; and step 6, performing visual immersive display on the multi-source data fusion project by adopting visual man-machine interaction. According to the invention, visual comprehensive management and traceability of each element of the project are realized.

Description

Technical Field

[0001] The present invention relates to the field of highway engineering construction, and in particular to a project-level visualization display method and system for highway multi-source data fusion. Background Art

[0002] With the rapid development of information technology, highway construction project management is gradually moving towards a new era of digitalization and intelligence. Building Information Modeling (BIM), Geographic Information System (GIS), oblique photogrammetry technology, and the multi-integration application of construction process data are providing new methods and means for the refined management and full life cycle control of highway construction projects.

[0003] BIM technology, with parametric modeling and digital collaboration as its core advantages, provides strong data support for the design optimization, construction management, operation and maintenance of highway projects. Eastman et al. [1] discussed that BIM achieves efficient collaboration in the design, construction, and operation and maintenance stages by creating and managing digital information models of the entire life cycle of the project, significantly improving the design quality and construction efficiency. Guo et al. [2] studied the application of virtual prototype technology in the management of the entire life cycle of construction projects, pointing out that BIM can support all stages of project management and improve the overall efficiency of the project. Ding Mengli et al. [3] explored in depth the advantages of BIM-based operation and maintenance management methods in building operation and maintenance.

[0004] With its powerful geographic spatial data management and analysis capabilities, GIS technology provides accurate spatial decision support for highway project pre-planning, route site selection, and construction process monitoring. Zlatanova and Rahman[4] pointed out that GIS technology provides powerful geographic information visualization capabilities for projects, especially in large-scale and complex terrain projects, GIS can provide accurate spatial data support. Wang Mengjun et al.[5] studied the integrated application of BIM and GIS technology in infrastructure projects and analyzed their synergy in project planning, design, and construction. Biljecki et al.[6] further confirmed the wide application and potential of GIS technology in project management. Yuan and Yang[7]'s research shows that by integrating BIM models and GIS data, an integrated visualization platform can be provided for project management to support more sophisticated project monitoring and management.

[0005] In recent years, oblique photogrammetry technology has been widely used in the engineering field. It can quickly and efficiently obtain high-precision three-dimensional models along the highway, providing more intuitive and dynamic data support for key links such as construction monitoring, safety management, and quality inspection. Elkhrachy[8] demonstrated how drone oblique photogrammetry technology can quickly generate high-precision three-dimensional models, providing more intuitive and dynamic support for terrain analysis, progress tracking, and construction quality monitoring. Yan Lupeng et al.[9] demonstrated the application of oblique photogrammetry technology in three-dimensional modeling and visualization of highways. Zhao Li and Liu Wenhua

[10] analyzed in detail the practice of combining BIM with drone oblique photography technology for dynamic monitoring of road construction sites.

[0006] However, the above technologies still face the challenge of deep fusion of multi-source heterogeneous data in practical applications, which is mainly reflected in the following aspects: First, the deep integration of multi-source heterogeneous data is difficult. Since BIM models, GIS geospatial data, oblique photography 3D point clouds and construction process data (such as progress, quality, safety, measurement, investment, etc.) come from different technical systems, they have significant differences in data format, semantic expression and logical structure. This leads to inefficient cross-platform data integration, poor interoperability, and difficulty in achieving seamless connection. Although the industry has carried out a lot of standardization work, mature and unified multi-source data fusion technical standards and specifications have not yet been formed. In the process of data integration, information may be lost and distorted, which limits the sophistication and reliability of digital management.

[0007] Secondly, the real-time and dynamic nature of construction process data is highly required, but the existing system is difficult to meet the needs of highway construction projects. The project involves frequent construction plan adjustments and progress changes, and the data update speeds at each stage are different. The traditional data synchronization mechanism is difficult to reflect the actual progress of the project in a timely manner. Due to technical bottlenecks, the data synchronization cycle of each business system is long and the frequency is low. It is out of touch with the dynamic changes of the project site and cannot support real-time visual monitoring and decision-making analysis. There is a lack of incremental update and consistency maintenance mechanism for massive heterogeneous data, and there is a lag in the real-time mapping of digital twin models and physical entities, which reduces the effectiveness and accuracy of visual management.

[0008] Third, the spatiotemporal benchmarks of multi-source heterogeneous data are not unified, and the semantic descriptions are inconsistent. Data collected and processed by different technical platforms differ in coordinate systems, scales, resolutions, etc., which makes geometric registration and topological association difficult, and it is difficult to achieve accurate spatial alignment. At the same time, there is a lack of a unified engineering information ontology and semantic mapping mechanism, and the data interaction and fusion processes between systems are complex, which can easily introduce errors and distortions, affecting the reliability of subsequent analysis and applications. There is an urgent need to establish a cross-platform, cross-professional semantic conversion and data integration method under a unified spatiotemporal benchmark framework.

[0009] In addition, the professionalism and complexity of technologies such as BIM, GIS, and oblique photography make implementation difficult and costly for small and medium-sized projects. The initial investment in software and hardware is huge, and the professional and technical requirements are high. Small and medium-sized projects have limited human and material resources, making it difficult to equip professional technical teams and high-end equipment, and the return on investment is low. This limits the promotion and application of advanced technologies in small and medium-sized highway projects. How to provide a lightweight, low-cost multi-source data fusion solution has become a practical problem that requires in-depth research.

[0010] Finally, the user-friendliness of the existing visualization platform needs to be improved. Professional software is complex to operate and has many parameter settings, which is not friendly enough to non-professionals. The process of generating visualization results is cumbersome, and there is a lack of intelligent and automated analysis tools. The human-computer interaction method is complex and it is difficult to meet the needs of project managers to quickly obtain key information. It is necessary to optimize the human-computer interaction interface for specific business scenarios, improve the user experience, and provide intuitive and easy-to-use visualization tools.

[0011] In summary, the complexity and dynamism of highway construction management urgently requires a multi-integrated project-level visualization system that integrates BIM, GIS, oblique photography technology, and construction process data. By establishing a cross-platform, cross-professional data fusion and application mechanism, the deep integration, real-time update, and consistency maintenance of multi-source data can be achieved, and the correlation display and full-factor traceability of various project elements can be realized on a single map, which can improve the project's refined management and control capabilities and meet the actual needs of digital and intelligent management of highway construction projects. Summary of the invention

[0012] The purpose of the present invention is to provide a project-level visualization display method and system for highway multi-source data fusion.

[0013] The technical solution adopted by the present invention is: The project-level visualization display method of highway multi-source data fusion includes the following steps: Step 1: Build a standard and unified multi-source heterogeneous data exchange and integration framework to seamlessly connect and map BIM models, GIS spatial geographic information, and oblique photography 3D point cloud models; Step 2: Develop standardized interface specifications covering multi-dimensional data, and use data parsing and conversion engines to standardize data from different sources to ensure the integrity and consistency of data from different sources at the grammatical, semantic, and logical levels; Step 3: Based on the data incremental update algorithm, the distributed parallel computing architecture is used to dynamically update the multi-source engineering data and project progress in real time; Step 4: Gather engineering data covering the entire life cycle, all disciplines, and all elements to build a digital twin model of the highway project. Based on the digital twin model, centralized management, multi-dimensional analysis, and dynamic presentation in a visual scene are achieved. Step 5: Sort out and refine the management business logic to build flexible and expandable professional application modules, and realize intelligent analysis of engineering projects through professional application modules; Step 6: Use visual human-computer interaction to perform a visual immersive display of the multi-source data fusion project.

[0014] Furthermore, the data integration framework constructed in step 1 further includes: Step 1-1, based on coordinate transformation and spatial registration algorithms, automatically correct the deviations of data from different sources in coordinate system, scale, and resolution to achieve the unification of spatiotemporal benchmarks; Step 1-2: Introduce ontology-based semantic description methods, build cross-professional and cross-platform semantic mapping mechanisms, and realize the associative integration of engineering information under multi-dimensional semantics; Steps 1-3: Build a quantifiable and controllable multi-source data quality assessment model, establish an evaluation index system for data accuracy, and support user-defined accuracy requirements.

[0015] Furthermore, the multi-source data real-time update mechanism in step 3 further includes: Step 3-1: Use microservice architecture and componentization to subdivide the key technologies of BIM, GIS, and oblique photography into independent functional modules to improve system integration efficiency; Step 3-2: local modifications of multi-source data are transmitted and dynamically merged in real time through an efficient data synchronization interface for incremental updates; Step 3-3, design a distributed computing architecture and introduce multi-threaded parallel processing technology to update data, significantly shorten the analysis, fusion and visualization rendering time of massive data, and improve the real-time response capability of the system.

[0016] Furthermore, the process of building the digital twin model in step 4 further includes: Step 4-1, multi-source data aggregation stage, connect to various business systems, collect full-process, multi-professional, cross-stage BIM models, GIS geographic information, oblique photography real scene and other data, and perform data cleaning and format conversion; Step 4-2, data fusion phase, based on a standardized data integration framework, engineering data from different sources are associated and mapped in multiple dimensions such as semantics, geometry, and attributes to form a consistent and semantically rich data set; Step 4-3, the visualization construction phase, builds a high-precision three-dimensional visualization model containing rich attribute information and engineering semantics based on the fused data, supporting multi-dimensional linkage query and analysis based on geographic space and engineering semantics.

[0017] Furthermore, the professional application module in step 5 specifically includes: The construction process control module realizes visual monitoring, early warning and deviation analysis of project implementation status by associating with construction progress, quality acceptance, safety management and other data; The operation and maintenance management module gathers maintenance site data, dynamically associates operation status information, and supports visual analysis of road property management, disease diagnosis and treatment, emergency response, etc. The digital asset management module establishes a full asset classification system for highways, associates BIM model objects, and realizes visual asset traceability, health assessment, and usage tracking throughout the entire life cycle.

[0018] The present invention also discloses a project-level visualization display system for multi-source data fusion of highways, including a data input module, a data processing module and a visualization display module; the data input module is used to obtain various types of data and store them in corresponding databases; the data processing module seamlessly connects and maps BIM models, GIS spatial geographic information and oblique photography three-dimensional point cloud models, and dynamically updates them in real time, while calling underlying supporting service software to build a digital twin model of the highway project to achieve centralized management, multi-dimensional analysis and dynamic presentation in the visualization scene; the visualization display module builds a flexibly expandable professional application module based on management business logic to achieve intelligent analysis of engineering projects, and finally uses visualized human-computer interaction to perform a visual and immersive display of the multi-source data fusion project.

[0019] Furthermore, various types of data include relational data, spatial information data and unstructured data; relational data includes basic data, business data and subject data; spatial information data includes OSGB data and BIM data; unstructured data includes unstructured data of documents, pictures and videos.

[0020] The present invention adopts the above technical solution and has the following technical features: 1. Realize the deep fusion and seamless integration of multi-source heterogeneous data: Build a unified multi-source data exchange and integration framework, formulate standardized data interfaces and semantic models, solve the differences in data format, semantic expression and logical structure among BIM models, GIS data, oblique photography point clouds and construction process data, realize cross-platform data interoperability and seamless connection, and improve data fusion efficiency and quality.

[0021] 2. Improve the real-time dynamic update capability of construction process data: Design efficient data synchronization and incremental update mechanisms to support real-time update and management of massive heterogeneous data, and ensure that the system can timely reflect the actual progress of the project. Through digital twin technology, the real-time mapping of virtual models and physical sites can be achieved, the effectiveness and accuracy of visual management can be improved, and rapid decision-making and response can be supported.

[0022] 3. Unify the spatiotemporal benchmark and semantic description of multi-source data: Develop intelligent coordinate conversion and spatial registration algorithms to automatically correct the deviations of data from different sources in terms of coordinate system, scale, resolution, etc., to ensure geometric accuracy and spatial consistency. Build a unified engineering information ontology and semantic mapping mechanism to achieve unified expression of multi-source data at the spatiotemporal benchmark and semantic level, and reduce the risk of errors and distortions in the data integration process.

[0023] 4. Reduce system implementation costs and increase application popularity: Provide lightweight and modular system architecture, adopt cloud computing and edge computing technologies, and reduce dependence on high-end hardware and professional technicians. Through a friendly user interface and simplified operation process, the threshold for using the system is lowered, so that small and medium-sized projects can also easily apply the system, improving the overall digitalization level and informationization capabilities of the industry.

[0024] 5. Improve the user-friendliness and intelligence level of the visualization platform: optimize the human-computer interaction interface, adopt intuitive visualization design, simplify the operation process, and improve the user experience. Integrate intelligent analysis and decision support functions, use natural language processing and artificial intelligence technology to achieve intelligent understanding and response to management semantics, provide personalized and intelligent services, and meet the needs of different users.

[0025] 6. Realize visual management of all project elements and full life cycle control: By integrating and displaying BIM models, GIS data, oblique photography models and construction process data on one map, all-round visual management of project design, construction, operation and maintenance can be achieved. Support the correlation analysis and traceability of key elements such as progress, quality, safety, measurement, investment, etc., provide comprehensive and accurate decision support, and improve the refinement level of project management.

[0026] 7. Build an extensible system architecture to support continuous upgrades and functional expansion: Adopt microservice architecture and component design to support flexible system combination and functional expansion. Reserve interfaces and standards to facilitate future access to new technologies and data types, and maintain the advancement and adaptability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments; Figure 1It is a schematic diagram of the architecture of the project-level visualization display system for highway multi-source data fusion of the present invention; Figure 2 This is a schematic diagram of the business application architecture of highway multi-source data fusion of the present invention; Figure 3 A schematic diagram of the technical architecture of the project-level visualization display method for highway multi-source data fusion of the present invention; Figure 4 A schematic diagram of a system network architecture involved in the project-level visualization display method for highway multi-source data fusion of the present invention; Figure 5 This is a schematic diagram of the BIM+GIS application support system architecture of the project-level visualization display system for multi-source data fusion of highways in the present invention. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0029] like Figures 1 to 5 As shown in Figure 1, in view of the problems existing in the background technology, such as the difficulty in deep integration of multi-source heterogeneous data, the lack of real-time performance of construction process data, the non-uniform spatiotemporal benchmarks of multi-source data, the high application cost, and the lack of user-friendliness of the visualization platform, the present invention aims to provide a method for project-level visualization of highway multi-integration. The system integrates BIM, GIS, oblique photography technology, and construction process data (including progress, quality, safety, measurement, investment, etc.), and realizes the comprehensive management and traceability of various project elements on a single map, meeting the needs of digital, refined, and intelligent management of highway construction projects. It includes the following steps: Step 1: Build a standard and unified multi-source heterogeneous data exchange and integration framework to seamlessly connect and map BIM models, GIS spatial geographic information, and oblique photography 3D point cloud models; Step 2: Develop standardized interface specifications covering multi-dimensional data, and use data parsing and conversion engines to standardize data from different sources to ensure the integrity and consistency of data from different sources at the grammatical, semantic, and logical levels; Step 3: Based on the data incremental update algorithm, the distributed parallel computing architecture is used to dynamically update the multi-source engineering data and project progress in real time; Step 4: Gather engineering data covering the entire life cycle, all disciplines, and all elements to build a digital twin model of the highway project. Based on the digital twin model, centralized management, multi-dimensional analysis, and dynamic presentation in a visual scene are achieved. Step 5: Sort out and refine the management business logic to build flexible and expandable professional application modules, and realize intelligent analysis of engineering projects through professional application modules; Step 6: Use visual human-computer interaction to perform a visual immersive display of the multi-source data fusion project.

[0030] Furthermore, the data integration framework constructed in step 1 further includes: Step 1-1, based on coordinate transformation and spatial registration algorithms, automatically correct the deviations of data from different sources in coordinate system, scale, and resolution to achieve the unification of spatiotemporal benchmarks; Step 1-2: Introduce ontology-based semantic description methods, build cross-professional and cross-platform semantic mapping mechanisms, and realize the associative integration of engineering information under multi-dimensional semantics; Steps 1-3: Build a quantifiable and controllable multi-source data quality assessment model, establish an evaluation index system for data accuracy, and support user-defined accuracy requirements.

[0031] like Figure 2 As shown, the business architecture diagram is generally composed of two stages: design and construction. The design stage mainly includes several business modules such as site investigation, preliminary design, and construction drawing design; the construction stage is relatively complex, covering the main core business processes such as in-depth design of construction drawings, preparation of No. 0 list, construction plan, process reporting, measurement and payment, etc., and also includes progress, quality, investment, archives and other control businesses.

[0032] like Figure 4 As shown in the figure, the network involved in the project-level management platform is mainly composed of the project owner unit network and the section construction unit network. Among them, the project owner unit network mainly carries the operation of project-level database servers, application servers, NVR storage devices, IoT acquisition servers, data interface servers and other equipment; the section construction unit network mainly carries the operation of IoT acquisition terminals, video monitoring terminals, production control equipment, interface servers and other equipment.

[0033] Furthermore, the multi-source data real-time update mechanism in step 3 further includes: Step 3-1: Use microservice architecture and componentization to subdivide the key technologies of BIM, GIS, and oblique photography into independent functional modules to improve system integration efficiency; Step 3-2: local modifications of multi-source data are transmitted and dynamically merged in real time through an efficient data synchronization interface for incremental updates; Step 3-3, design a distributed computing architecture and introduce multi-threaded parallel processing technology to update data, significantly shorten the analysis, fusion and visualization rendering time of massive data, and improve the real-time response capability of the system.

[0034] Furthermore, the process of building the digital twin model in step 4 further includes: Step 4-1, multi-source data aggregation stage, connect to various business systems, collect full-process, multi-professional, cross-stage BIM models, GIS geographic information, oblique photography real scene and other data, and perform data cleaning and format conversion; Step 4-2, data fusion phase, based on a standardized data integration framework, engineering data from different sources are associated and mapped in multiple dimensions such as semantics, geometry, and attributes to form a consistent and semantically rich data set; Step 4-3, the visualization construction phase, builds a high-precision three-dimensional visualization model containing rich attribute information and engineering semantics based on the fused data, supporting multi-dimensional linkage query and analysis based on geographic space and engineering semantics.

[0035] Furthermore, the professional application module in step 5 specifically includes: The construction process control module realizes visual monitoring, early warning and deviation analysis of project implementation status by associating with construction progress, quality acceptance, safety management and other data; The operation and maintenance management module gathers maintenance site data, dynamically associates operation status information, and supports visual analysis of road property management, disease diagnosis and treatment, emergency response, etc. The digital asset management module establishes a full asset classification system for highways, associates BIM model objects, and realizes visual asset traceability, health assessment, and usage tracking throughout the entire life cycle.

[0036] Furthermore, the present invention also discloses a project-level visualization display system for multi-source data fusion of highways, which includes a data input module, a data processing module and a visualization display module; the data input module is used to obtain various types of data and store them in the corresponding database; the data processing module seamlessly connects and maps the BIM model, GIS spatial geographic information and the oblique photography three-dimensional point cloud model, and updates them dynamically and synchronously in real time, while calling the underlying supporting service software to build a digital twin model of the highway project to realize centralized management, multi-dimensional analysis and dynamic presentation in the visualization scene; the visualization display module builds a flexibly expandable professional application module based on the management business logic to realize the intelligent analysis of the engineering project, and finally uses visual human-computer interaction to perform a visual and immersive display of the multi-source data fusion project.

[0037] Furthermore, various types of data include relational data, spatial information data and unstructured data; relational data includes basic data, business data and subject data; spatial information data includes OSGB data and BIM data; unstructured data includes unstructured data of documents, pictures and videos.

[0038] like Figure 3As shown, the underlying technical architecture of the project-level visualization display system for multi-source data fusion of highways of the present invention adopts a layered design, including a data storage module, a basic support module, an application support module and a BIM business application module; the data storage module is used to store various types of databases, the basic support module is the underlying support service software built on the basis of the database, the application support module provides basic business capability support for various business applications, and the BIM business application module provides basic applications with different business capabilities.

[0039] Furthermore, the databases stored in the data storage module include relational databases, spatial information databases and unstructured databases; the relational databases include databases of basic data, business data and subject data; the spatial information databases include databases of OSGB data and BIM data; the unstructured databases include unstructured data of documents, pictures and videos; the support services provided by the basic support module include WEB application support, GIS application support, BIM application support, CA certification support, workflow engine, video service support, digital twin engine, message engine and external interface services; the application support module includes unified user authentication, master data management, organizational authority management, BIM application management, workflow management, video surveillance management, twin digital application management, message management and interface service management; the BIM business application module includes design management applications, investment management applications, progress management applications, quality management applications, safety management applications, green management applications, process and method applications, results delivery applications and visual analysis applications.

[0040] like Figure 5 As shown in the figure, the BIM+GIS application support system corresponds to the data storage layer and application support layer of the top-level architecture, and is composed of several modules such as data storage, basic support, and application support. Among them, the data storage module is used to store various types of underlying support service software built on the basis of the database, and the application support system mainly provides basic business capability support for various business applications.

[0041] The present invention adopts the above technical solution and has the following technical features: 1. Realize the deep fusion and seamless integration of multi-source heterogeneous data: Build a unified multi-source data exchange and integration framework, formulate standardized data interfaces and semantic models, solve the differences in data format, semantic expression and logical structure among BIM models, GIS data, oblique photography point clouds and construction process data, realize cross-platform data interoperability and seamless connection, and improve data fusion efficiency and quality.

[0042] 2. Improve the real-time dynamic update capability of construction process data: Design efficient data synchronization and incremental update mechanisms to support real-time update and management of massive heterogeneous data, and ensure that the system can timely reflect the actual progress of the project. Through digital twin technology, the real-time mapping of virtual models and physical sites can be achieved, the effectiveness and accuracy of visual management can be improved, and rapid decision-making and response can be supported.

[0043] 3. Unify the spatiotemporal benchmark and semantic description of multi-source data: Develop intelligent coordinate conversion and spatial registration algorithms to automatically correct the deviations of data from different sources in terms of coordinate system, scale, resolution, etc., to ensure geometric accuracy and spatial consistency. Build a unified engineering information ontology and semantic mapping mechanism to achieve unified expression of multi-source data at the spatiotemporal benchmark and semantic level, and reduce the risk of errors and distortions in the data integration process.

[0044] 4. Reduce system implementation costs and increase application popularity: Provide lightweight and modular system architecture, adopt cloud computing and edge computing technologies, and reduce dependence on high-end hardware and professional technicians. Through a friendly user interface and simplified operation process, the threshold for using the system is lowered, so that small and medium-sized projects can also easily apply the system, improving the overall digitalization level and informationization capabilities of the industry.

[0045] 5. Improve the user-friendliness and intelligence level of the visualization platform: optimize the human-computer interaction interface, adopt intuitive visualization design, simplify the operation process, and improve the user experience. Integrate intelligent analysis and decision support functions, use natural language processing and artificial intelligence technology to achieve intelligent understanding and response to management semantics, provide personalized and intelligent services, and meet the needs of different users.

[0046] 6. Realize visual management of all project elements and full life cycle control: By integrating and displaying BIM models, GIS data, oblique photography models and construction process data on one map, all-round visual management of project design, construction, operation and maintenance can be achieved. Support the correlation analysis and traceability of key elements such as progress, quality, safety, measurement, investment, etc., provide comprehensive and accurate decision support, and improve the refinement level of project management.

[0047] 7. Build an extensible system architecture to support continuous upgrades and functional expansion: Adopt microservice architecture and component design to support flexible system combination and functional expansion. Reserve interfaces and standards to facilitate future access to new technologies and data types, and maintain the advancement and adaptability of the system.

[0048] In summary, the present invention aims to solve the problems of difficulty in deep integration of multi-source data, lack of real-time performance, inconsistent spatiotemporal benchmarks, high implementation costs, and poor user-friendliness in highway construction project management, and proposes a multi-integrated project-level visualization system that integrates BIM, GIS, oblique photography technology, and construction process data. Through technological innovation and architecture optimization, comprehensive management and traceability of various project elements on a single map are achieved, which improves the digitalization, intelligence, and refinement of highway construction management, and provides strong technical support for the industry's digital transformation and high-quality development.

[0049] Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. In the absence of conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the detailed description of the embodiments of the present application is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians of the art without making creative work are within the scope of protection of the present application.

Claims

1. A project-level visualization method for highway multi-source data fusion, characterized by: It includes the following steps: Step 1: Build a standard and unified multi-source heterogeneous data exchange and integration framework to seamlessly connect and map BIM models, GIS spatial geographic information, and oblique photography 3D point cloud models; Step 2: Develop standardized interface specifications covering multi-dimensional data, and use data parsing and conversion engines to standardize data from different sources to ensure the integrity and consistency of data from different sources at the grammatical, semantic, and logical levels; Step 3: Based on the data incremental update algorithm, the distributed parallel computing architecture is used to dynamically update the multi-source engineering data and project progress in real time; Step 4: Gather engineering data covering the entire life cycle, all disciplines, and all elements to build a digital twin model of the highway project. Based on the digital twin model, centralized management, multi-dimensional analysis, and dynamic presentation in a visual scene are achieved. Step 5: Sort out and refine the management business logic to build flexible and expandable professional application modules, and realize intelligent analysis of engineering projects through professional application modules; Step 6: Use visual human-computer interaction to perform a visual immersive display of the multi-source data fusion project.

2. The project-level visualization display method for highway multi-source data fusion according to claim 1 is characterized by: The data integration framework constructed in step 1 further includes: Step 1-1, based on coordinate transformation and spatial registration algorithms, automatically correct the deviations of data from different sources in coordinate system, scale, and resolution to achieve the unification of spatiotemporal benchmarks; Step 1-2: Introduce ontology-based semantic description methods, build cross-professional and cross-platform semantic mapping mechanisms, and realize the associative integration of engineering information under multi-dimensional semantics; Steps 1-3: Build a quantifiable and controllable multi-source data quality assessment model, establish an evaluation index system for data accuracy, and support user-defined accuracy requirements.

3. The project-level visualization display method for highway multi-source data fusion according to claim 1 is characterized by: The multi-source data real-time update mechanism in step 3 further includes: Step 3-1: Use microservice architecture and componentization to subdivide the key technologies of BIM, GIS, and oblique photography into independent functional modules to improve system integration efficiency; Step 3-2: local modifications of multi-source data are transmitted and dynamically merged in real time through an efficient data synchronization interface for incremental updates; Step 3-3, design a distributed computing architecture and introduce multi-threaded parallel processing technology to update data, significantly shorten the analysis, fusion and visualization rendering time of massive data, and improve the real-time response capability of the system.

4. The project-level visualization display method for highway multi-source data fusion according to claim 1 is characterized by: The process of building a digital twin model in step 4 further includes: Step 4-1, multi-source data aggregation stage, connect various business systems, collect full-process, multi-professional, cross-stage BIM models, GIS geographic information, oblique photography real-life data, and perform data cleaning and format conversion; Step 4-2, data fusion phase, based on a standardized data integration framework, engineering data from different sources are associated and mapped in multiple dimensions of semantics, geometry, and attributes to form a consistent and semantically rich data set; Step 4-3, the visualization construction phase, builds a high-precision three-dimensional visualization model containing rich attribute information and engineering semantics based on the fused data, supporting multi-dimensional linkage query and analysis based on geographic space and engineering semantics.

5. The project-level visualization display method for highway multi-source data fusion according to claim 1 is characterized by: The professional application modules in step 5 specifically include: The construction process control module realizes visual monitoring, early warning and deviation analysis of project implementation status by associating with construction progress, quality acceptance and safety management data; The operation and maintenance management module gathers maintenance site data, dynamically associates operation status information, and supports visual analysis of road property management, disease diagnosis and treatment, and emergency response; The digital asset management module establishes a full asset classification system for highways, associates BIM model objects, and realizes visual asset traceability, health assessment, and usage tracking throughout the entire life cycle.

6. The project-level visualization display method for highway multi-source data fusion according to claim 1 is characterized by: The professional application module in step 5 has built-in intelligent analysis functions for progress simulation, quality traceability, and safety warning.

7. The project-level visualization display method for highway multi-source data fusion according to claim 1 is characterized by: In step 6, artificial intelligence technologies such as natural language processing and knowledge graph reasoning are used to optimize visual human-computer interaction, achieve intelligent understanding of management semantics, create an immersive and easy-to-operate system interface, and enhance user experience.

8. A project-level visualization display system for highway multi-source data fusion, which adopts the project-level visualization display method for highway multi-source data fusion according to any one of claims 1 to 7, characterized in that: The system includes a data input module, a data processing module and a visualization display module; the data input module is used to obtain various types of data and store them in the corresponding database; the data processing module seamlessly connects and maps the BIM model, GIS spatial geographic information and the oblique photography 3D point cloud model, and updates them dynamically and synchronously in real time, while calling the underlying support service software to build a digital twin model of the highway project to achieve centralized management, multi-dimensional analysis and dynamic presentation in the visualization scene; The visualization display module builds flexibly expandable professional application modules based on management business logic to realize intelligent analysis of engineering projects. Finally, through visual human-computer interaction, the project with multi-source data fusion is visualized and immersive.

9. The project-level visualization display system for highway multi-source data fusion according to claim 8 is characterized by: Various types of data include relational data, spatial information data and unstructured data; relational data includes basic data, business data and subject data; spatial information data includes OSGB data and BIM data; unstructured data includes unstructured data of documents, pictures and videos.

Images