Rail transit engineering construction data four-dimensional display and full-life-cycle tracing method

Abstract

The invention discloses a rail transit engineering construction data four-dimensional display and full-life-cycle tracing method, which belongs to the field of rail transit engineering construction, and comprises the steps of direct one-key uploading of engineering site construction daily reports, automatic analysis of big data, data sharing with a BIM model, realization of four-dimensional dynamic demonstration of construction information, and full-life-cycle quality traceability. The intelligent, humanized and efficient file generation assists construction participants such as construction units to efficiently manage the rail transit project, can realize efficient integration of offline data and online digitization, greatly simplifies a construction information digitization path, is convenient for constructors to operate, enriches use scenes of the construction participants such as the construction units, has good economic and social benefits, and is suitable for popularization and application. The application prospect is wide.

Description

Technical Field

[0001] This application belongs to the field of rail transit engineering construction, specifically, it relates to a method for four-dimensional display and full life-cycle traceability of rail transit engineering construction data. Background Technology

[0002] Rail transit engineering involves numerous disciplines such as architecture, structure, electromechanical installation, low-voltage systems, and interior design. Linear projects often cross numerous buildings, have complex surrounding environments, and long construction periods, exhibiting significant characteristics such as large scale, complex environments, multiple disciplines involved, difficulties in cross-operation, and long construction timelines. Some cities, specifically addressing these characteristics, have established their own engineering construction information management platforms from top to bottom, based on project sub-items, project management processes, and information display modules. However, construction and supervision units need to submit a large amount of data according to the requirements of each information module system. In addition to on-site physical work, frontline construction and supervision units handle a large amount of progress, inspection, and monitoring data daily, facing challenges such as excessive project data, untimely data analysis, and poor processing effectiveness. There is an urgent need to combine big data analysis, artificial intelligence, and Deepseek technologies to organically integrate the information-based data submitted by construction and supervision units with paper-based project documents, developing a four-dimensional display and full life-cycle traceability method for rail transit engineering construction data. This would enable efficient and rapid processing of frontline engineering information and high-quality, rapid project construction.

[0003] Existing technologies mostly involve building information management platforms from the top down, without any technical methods to combine information-based data entry with paper-based engineering documents. Each system requires personnel from relevant professional construction units to collect data and then enter the data into each system page according to the requirements of each system, which consumes a lot of human and material resources. The processing efficiency of the information system is not high, and it does not achieve the collection of data throughout the entire life cycle of key engineering materials such as concrete, and does not fully utilize the advantages of digital platforms and big data analysis. Therefore, there is an urgent need to develop a four-dimensional display and full life cycle traceability method for rail transit engineering construction data. Summary of the Invention

[0004] To address the aforementioned problems and technical deficiencies, this application adopts the following technical solution: a method for four-dimensional display and full lifecycle traceability of construction data in rail transit engineering, comprising the following steps: Step 1: Develop a template for filling out construction logs, generate a construction data acquisition and processing module, and divide the rail transit project into sub-items according to the construction sequence. Assign a unique location code to each construction sequence according to the construction sequence, and compile the station project number code. Step 2: Use the BIM data sharing module to formulate BIM model codes based on the project number codes of the rail transit project, build the BIM model, and make the BIM model components correspond one-to-one with the project number codes; Step 3: Use the progress four-dimensional display module to retrieve the construction sequence data of each engineering component in the BIM model and construction log of the BIM sharing module in real time, and use the BIM model to dynamically simulate the engineering construction process according to the construction sequence. Step 4: Use the quality tracking module to set up the quality data upload window, and the construction unit's upload window will call the data from the construction data acquisition module; Step 5: Use the automatic document generation module to generate project report documents, modify the report documents according to the feedback from the user unit, and realize the personalized customization of project report documents; Step 6: Establish a four-dimensional display and full life-cycle traceability system platform for rail transit engineering construction data to achieve intelligent engineering construction management, including one-click data upload, dynamic progress demonstration, full-chain quality tracking, and intelligent document generation.

[0005] Preferably, the station project number code consists of 12 data elements, namely: a major category code composed of 2 uppercase letters, a medium category code composed of 2 numbers, a minor category code composed of 2 numbers, a detailed category code composed of 2 numbers, and a serial number code composed of 4 letters and numbers.

[0006] Furthermore, the major category code marks the unit project, the intermediate category code marks the sub-unit project, the minor category code marks the sub-project, the detailed category code marks the sub-item project, and the serial number marks the construction step position. Through coding, each construction section has a unique code.

[0007] Furthermore, the construction data acquisition and processing module recognizes the construction log file based on the entered data or text, maps the project number code to the construction log content one by one, assigns a code value to each piece of content, and generates electronic construction log data with assigned project number codes.

[0008] Preferably, the serial number value of the BIM model number is consistent with the serial number code set in the construction step sequence, the division of BIM model components is consistent with the division of construction steps, and corresponds one-to-one with the position of the construction step sequence.

[0009] Furthermore, the BIM sharing module is set at the data acquisition module interface. It uses BIM coding as a data sharing link to realize the retrieval of BIM model components and corresponding construction log data. By extracting the coding, the construction log data of the BIM component corresponding to the coding can be read in real time. The BIM model components with associated construction data are generated in the background and can be retrieved at any time. The BIM model is then displayed and analyzed in three dimensions based on the scheduled construction log data.

[0010] Preferably, the four-dimensional display module assigns personalized colors to completed BIM model components and grayscale to unbuilt BIM models according to the construction sequence, thereby displaying the construction progress.

[0011] Furthermore, the four-dimensional display module analyzes and processes the daily push of construction log data, and generates a floating window display of construction quantity table, investment output value table, on-site construction data completion rate and on-site production factor information. When visually displaying the station progress, it realizes the dynamic evolution of station BIM data over time and the four-dimensional display of the station's visual progress.

[0012] Preferably, the quality tracking module extracts safety and quality information based on the collected data from various units through text recognition and image recognition, and associates it with the corresponding BIM model components through the project number code, thereby realizing the traceability of quality information throughout the entire life cycle of each BIM model component, and targeting monitoring and testing data.

[0013] Preferably, the quality tracking module is equipped with an early warning threshold. When the data identified by the quality tracking module exceeds the early warning threshold, a risk level color is assigned to the corresponding BIM model component, and the relevant authorized personnel are notified via communication information. The module promptly issues engineering quality warning information and proposes suggestions for handling quality incidents, thereby realizing full life-cycle engineering quality tracking and decision support.

[0014] Compared to existing technologies, the beneficial effects of this application are as follows: This application enables the uploading of daily construction reports from the project site, automatic big data analysis, and data sharing with BIM models. It achieves a four-dimensional dynamic demonstration of construction information, full life-cycle quality traceability, and intelligent, user-friendly, and efficient document generation. This assists construction units and other participating parties in efficiently managing rail transit projects, realizing the efficient integration of offline data and online digitization. It greatly simplifies the digitization path of construction information, facilitates operation for construction personnel, and enriches the usage scenarios for construction units and other participating parties. It has good economic and social benefits and broad application prospects. Attached Figure Description

[0015] In the attached diagram: Figure 1 This is a schematic diagram of the method flow of an embodiment of this application. Detailed Implementation

[0016] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of this application, but not all embodiments. Generally, the components of the embodiments of this application described and shown in the accompanying drawings can be arranged and designed in various different configurations.

[0017] Example 1 like Figure 1 As shown, a method for four-dimensional display and full life-cycle traceability of construction data in rail transit engineering is characterized by the following steps: Step 1: Develop a template for filling out construction logs, generate a construction data acquisition and processing module, and divide the rail transit project into sub-items according to the construction sequence. Assign a unique location code to each construction sequence according to the construction sequence, and compile the station project number code. The station project number code consists of 12 data elements: a major category code composed of 2 uppercase letters, a medium category code composed of 2 numbers, a minor category code composed of 2 numbers, a detailed category code composed of 2 numbers, and a serial number code composed of 4 letters and numbers.

[0018] Major category codes mark unit projects, intermediate category codes mark sub-unit projects, minor category codes mark sub-projects, detailed category codes mark sub-items, and serial numbers mark the construction step sequence. Through coding, each construction section has a unique code.

[0019] The construction data acquisition and processing module recognizes the construction log file based on the entered data or text, maps the project number code to the content of the construction log, assigns a code value to each content, and generates electronic construction log data with assigned project number codes.

[0020] Develop a data acquisition and processing module for rail transit engineering construction. Specifically, based on the construction sequence, the construction unit divides the rail transit project into sub-items and compiles sub-item project number codes. The code consists of 12 data elements: a major category code (2 uppercase letters), a medium category code (2 digits), a minor category code (2 digits), a detailed category code (2 digits), and a serial number code (4 letters + numbers). The serial number in the code is accurate to each specific construction section, ensuring that each construction section has a unique code.

[0021] Based on the requirements of construction drawings, construction plans, and management documents, a template for filling out construction logs was developed, and a data acquisition and processing module for rail transit engineering construction was developed. The acquisition and processing module was implemented using mainstream programs such as Java, C#, Rust, Go, and PHP. The web-based backend server was configured with data reference modules according to the construction log format template. Construction units could fill out the data through a webpage or app client, or submit it as a construction log file to complete the data acquisition. The acquisition and processing module would match the project number code with the construction log content based on the filled data or text recognition of the construction log file, and assign a code value to each piece of content, forming electronic construction log data with assigned project number codes.

[0022] Step 2: Use the BIM data sharing module to formulate BIM model codes based on the project number codes of the rail transit project, build the BIM model, and make the BIM model components correspond one-to-one with the project number codes; The serial number value of the BIM model number is consistent with the serial number code set in the construction step sequence. The division of BIM model components is consistent with the division of construction steps and corresponds one-to-one with the position of the construction step sequence.

[0023] The BIM sharing module is set at the data acquisition module interface. It uses BIM codes as the data sharing link to realize the retrieval of BIM model components and corresponding construction log data. By extracting the codes, the construction log data of the BIM components corresponding to the codes can be read in real time. The BIM model components with associated construction data are generated in the background and can be retrieved at any time. The BIM model is then displayed and analyzed in three dimensions based on the scheduled construction log data.

[0024] A BIM sharing module for rail transit engineering construction data was built. Specifically, the BIM sharing module was implemented using mainstream programs such as Java, C#, Rust, Go, and PHP. First, BIM model codes were determined based on the project number codes of the rail transit engineering sub-items. Then, the BIM model was built to achieve a one-to-one correspondence between BIM model components and project number codes. Lightweight technology was then used to process the BIM model, making the BIM model components easy to manipulate within the module and reducing data resource consumption. The BIM sharing module uses BIM codes as a data sharing link to realize the retrieval of BIM model components and corresponding construction log data. Based on the scheduled construction log data, the BIM model was displayed and analyzed in three dimensions.

[0025] Step 3: Use the progress four-dimensional display module to retrieve the construction sequence data of each engineering component in the BIM model and construction log of the BIM sharing module in real time, and use the BIM model to dynamically simulate the engineering construction process according to the construction sequence. The 4D display module assigns personalized colors to completed BIM model components based on the construction sequence, and assigns grayscale to unbuilt BIM models to display the construction progress.

[0026] The four-dimensional display module analyzes and processes the daily push of construction log data, generating floating windows to display construction quantity tables, investment output value tables, on-site construction data completion rates, and on-site production factor information. When visually displaying the station's progress, it realizes the dynamic evolution of the station's BIM data over time and the four-dimensional display of the station's visual progress.

[0027] A four-dimensional display module for the visual progress of rail transit projects based on construction data was developed. Specifically, the four-dimensional display module is implemented using mainstream programs such as Java, C#, Rust, Go, and PHP. It retrieves construction sequence data of each engineering component from the BIM model in the BIM sharing module and the construction log in real time. According to the construction sequence, it uses the BIM model to dynamically simulate the construction process. Based on the construction sequence, it assigns personalized colors to completed BIM model components and assigns gray-white to unbuilt BIM model components, thus vividly and intuitively displaying the construction progress. The module analyzes and processes the daily push of construction log data in a timely manner, forming a floating window display of construction quantity tables, investment output value tables, on-site construction data completion rates, on-site production factor information, etc. While visually displaying the station progress, it realizes the dynamic evolution of station BIM data over time, achieving a four-dimensional display of the station's visual progress.

[0028] Step 4: Use the quality tracking module to set up the quality data upload window, and the construction unit's upload window will call the data from the construction data acquisition module; The quality tracking module extracts safety and quality information based on the collected data from various units through text recognition and image recognition, and associates it with the corresponding BIM model components through the project number code, so as to realize the traceability of quality information of each BIM model component throughout its entire life cycle, and to monitor and test data.

[0029] The quality tracking module is equipped with an early warning threshold. When the data detected by the quality tracking module exceeds the early warning threshold, a risk level color is assigned to the corresponding BIM model component, and the relevant authorized personnel are notified via communication information. The module promptly issues engineering quality warning information and proposes suggestions for handling quality incidents, thereby realizing full life-cycle engineering quality tracking and decision support.

[0030] A quality tracking module for rail transit engineering was developed. Specifically, the quality tracking module is implemented using mainstream programs such as Java, C#, Rust, Go, and PHP. It includes quality data upload windows for precast component manufacturers, construction units, supervision units, design units, third-party monitoring units, and third-party testing units. The construction unit's upload window directly calls data from the construction data acquisition module. Other units' upload windows have drop-down menus, with drop-down items categorized by project number code detail. Each unit selects the corresponding location option and then uploads the relevant file data.

[0031] The quality tracking module extracts safety and quality information based on collected data from various units through text and image recognition. It then links this information to the corresponding BIM model components via project number codes, enabling full lifecycle quality information traceability for each BIM model component. For monitoring and testing data, the quality tracking module sets early warning thresholds. When the data identified by the quality tracking module exceeds the early warning threshold, it assigns a risk level color to the corresponding BIM model component and notifies the relevant authorized personnel via communication information. It promptly issues project quality warning information and proposes suggestions for handling quality incidents, thus achieving full lifecycle project quality tracking and decision support.

[0032] Step 5: Use the automatic document generation module to generate project report documents, modify the report documents according to the feedback from the user unit, and realize the personalized customization of project report documents; An AI-based module for automatically generating engineering report documents was developed. Specifically, this module is implemented using mainstream programming languages ​​such as Java, C#, Rust, Go, and PHP. Based on the user's needs, it utilizes mainstream AI architectures such as the MOE architecture and Transformer architecture. It includes voice and text dialog boxes and leverages data resources from modules such as construction data acquisition, BIM sharing, 4D visualization, and quality tracking. Following the user's voice and text requirements, it generates engineering report documents in formats such as text reports and PPT presentations. During the creation of text reports and PPT presentations, a feedback mechanism for the user is added, allowing them to independently add or remove report items and PPT chapters according to their requirements. The module then modifies the report documents based on the user's feedback, enabling personalized customization of engineering report documents. This facilitates use by construction units and other participating parties, improving the efficiency of engineering construction management activities.

[0033] Step 6: Establish a four-dimensional display and full life-cycle traceability system platform for rail transit engineering construction data to achieve intelligent engineering construction management, including one-click data upload, dynamic progress demonstration, full-chain quality tracking, and intelligent document generation.

[0034] The system integrates data acquisition and processing modules, construction data BIM sharing modules, four-dimensional display modules for project progress, project quality tracking modules, and automatic generation modules for project report documents, forming a four-dimensional display and full life-cycle traceability system platform for rail transit engineering construction data, which features "one-click data upload - dynamic progress demonstration - full-chain quality tracking - intelligent document generation".

[0035] Example 2 The first step is to develop a module for collecting and processing construction data for subway stations.

[0036] To create a station project number code, the subway station is first divided into sub-projects such as foundations, beams, slabs, columns, and walls. Then, based on the construction sequence, a unique location code is assigned to each construction step, forming the station project number code. This code consists of 12 data elements: a major category code (2 uppercase letters), a minor category code (2 digits), a detailed category code (2 digits), and a serial number code (4 digits). For example, the code for the station's retaining piles is JG-05.03.00-F131. The major category code marks the unit project, the minor category code marks the sub-unit project, the minor category code marks the sub-project, the detailed category code marks the sub-item project, and the serial number marks the construction step position. This coding ensures that each construction section has a unique code.

[0037] A construction log entry template was developed, and a construction data acquisition and processing module was created. Based on construction drawings, specific construction plans, and other construction management requirements, a construction log entry template suitable for the station's construction was compiled. This station is an underground station, and the construction log includes on-site construction progress, personnel, machinery and equipment, risk classification and control, etc. Each item is broken down into engineering sub-items such as main structure, auxiliary structures, main substation, and tunnel ends. The name of each sub-item is consistent with the Chinese name corresponding to the project number code, and the log entries are filled in using this fixed Chinese name. For construction steps, the construction step code number is directly entered. This construction log entry template was then developed using Java. The data acquisition and processing module, located on the web-based backend server, uses a data reference module arranged according to a construction log format template. Users can fill out the form directly using the template, and the completed file can be exported to generate a construction log file. The web-based or app client also includes a file upload function, allowing construction units to upload offline completed construction logs to the acquisition module with a single click. The acquisition module automatically reads the log content, and the acquisition and processing module reads the construction log data based on the filled-out or uploaded logs. By mapping the project number code to the construction log content, electronic construction log data with assigned project codes is generated in the backend, enabling the collection of safety, progress, and quality information for different parts of the project.

[0038] The second step is to build a BIM data sharing module for subway stations.

[0039] To build a BIM model, the first step is to supplement and complete the BIM model coding principle for the subway station based on the project number code of the subway station and the BIM model building coding requirements. After completion, the station will have a 26-digit BIM code. For example, the retaining pile of this station is 08.1002_JG-05.03.00+30-01.10.05_F131. The serial number value set in the BIM number is consistent with the serial number code set in the construction step sequence, so that the division of BIM model components is completely consistent with the division of construction steps of this station, and the positions correspond one-to-one. Then, lightweight technology is used to process the BIM model, only retaining the spatial position, size parameters and other information of the BIM model, making the BIM model easy to operate on the web interface of the BIM sharing platform and reducing data usage.

[0040] A BIM data sharing module was developed using Java. This module features functions such as BIM model section display and viewing demonstrations. It is set up at the data acquisition module interface. By extracting codes, it can read the construction log data of the corresponding BIM components in real time. In the background, it forms BIM model components that are associated with the construction data. These components can be retrieved at any time, and the BIM model can be displayed and analyzed in three dimensions based on the scheduled construction log data.

[0041] The third step involves developing a four-dimensional display module for the subway station's progress. Specifically, this module is developed using Java. It has a data interface with the BIM sharing module, allowing real-time retrieval of BIM model components and construction log data based on user needs. Using the construction sequence information in the logs, it dynamically simulates the construction process with the BIM model. Based on the construction sequence data, it assigns personalized colors to completed BIM model components and grayscale to uncompleted components. Through this colorful three-dimensional demonstration, the station's progress is displayed vividly and intuitively. Simultaneously, it analyzes and processes the construction log data to generate floating windows displaying construction quantity tables, investment output value tables, on-site construction data completion rates, and on-site production factor information. This not only visually displays the station's progress but also enables the dynamic evolution of the station's BIM data over time, achieving a four-dimensional display of the station's progress.

[0042] The fourth step involves developing a subway station quality tracking module. Specifically, this module is developed using Java. It interfaces directly with the construction data acquisition module to retrieve construction log data. The module also includes quality data upload windows for precast component manufacturers, supervision units, design units, third-party monitoring units, and third-party testing units. Each unit's upload window has drop-down menus, with options consistent with the project's sub-items and construction sequence. Units select options as needed and upload relevant documents. Based on the collected data, the module extracts safety and quality information through text and image recognition. It also interfaces with the BIM sharing module, linking data via project number codes to facilitate data sharing with BIM model component data. This enables a three-dimensional display and traceability of BIM model components and safety and quality information. When the monitoring and testing data identified by this module exceeds the set warning threshold, it generates a safety and quality warning message, assigning red, orange, or yellow (according to the station's risk level) values ​​to the corresponding BIM model components. The message is communicated to the relevant responsible personnel, along with suggestions for handling the quality warning event, thus achieving full lifecycle quality tracking and decision support for subway station projects.

[0043] The fifth step involves developing an AI-based module for automatically generating station project reports. Specifically, this module is developed using Java. For this station, it primarily serves as a tool for construction units to quickly and efficiently report on construction progress. Based on their needs, it utilizes the mainstream Transformer AI architecture, setting up voice and text dialog boxes. Leveraging data resources from construction data acquisition, BIM sharing, 4D display, and quality tracking modules, and adhering to the standardized voice and text format requirements of construction units, it sets up project report text and PPT presentation text formats (report text generally includes project overview, basic information of participating units, project progress, existing problems, and suggested solutions; PPT presentation text generally includes project overview, project progress, existing problems, and solutions). Based on the construction unit's selection, the module automatically generates a draft report. The construction unit can accept the default draft content or add or remove items. Based on feedback from the construction unit, the module further adjusts the generated report, enabling personalized customization of project reports. This facilitates use by construction units, improves the efficiency of data utilization at the construction site, reduces the workload of frontline workers, and enhances the efficiency of project construction management activities.

[0044] The sixth step involves using a Java program to integrate and develop a subway station construction data four-dimensional display and full life-cycle traceability system platform app, which includes a data acquisition and processing module, a construction data BIM sharing module, a four-dimensional display module for project progress, a project quality tracking module, and a project report document automatic generation module. This app is then deployed to the cloud for convenient use by all parties involved in station management. The platform developed using this method achieves intelligent project construction management with features such as "one-click data upload, dynamic progress demonstration, full-chain quality tracking, and intelligent document generation."

[0045] The embodiments described above are merely preferred embodiments of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications, improvements, and substitutions without departing from the concept of this application, and these all fall within the protection scope of this application.

Claims

1. A method for four-dimensional display and full life-cycle traceability of construction data in rail transit engineering, characterized in that, Includes the following steps: Step 1: Develop a template for filling out construction logs, generate a construction data acquisition and processing module, and divide the rail transit project into sub-items according to the construction sequence. Assign a unique location code to each construction sequence according to the construction sequence, and compile the station project number code. Step 2: Use the BIM data sharing module to formulate BIM model codes based on the project number codes of the rail transit project, build the BIM model, and make the BIM model components correspond one-to-one with the project number codes; Step 3: Use the progress four-dimensional display module to retrieve the construction sequence data of each engineering component in the BIM model and construction log of the BIM sharing module in real time, and use the BIM model to dynamically simulate the engineering construction process according to the construction sequence. Step 4: Use the quality tracking module to set up the quality data upload window, and the construction unit's upload window will call the data from the construction data acquisition module; Step 5: Use the automatic document generation module to generate project report documents, modify the report documents according to the feedback from the user unit, and realize the personalized customization of project report documents; Step 6: Establish a four-dimensional display and full life-cycle traceability system platform for rail transit engineering construction data to achieve intelligent engineering construction management, including one-click data upload, dynamic progress demonstration, full-chain quality tracking, and intelligent document generation.

2. The method for four-dimensional display and full life-cycle traceability of construction data in rail transit engineering according to claim 1, characterized in that, The station project number code consists of 12 data elements: a major category code composed of 2 uppercase letters, a medium category code composed of 2 numbers, a minor category code composed of 2 numbers, a detailed category code composed of 2 numbers, and a serial number code composed of 4 letters and numbers.

3. The method for four-dimensional display and full life-cycle traceability of construction data in rail transit engineering according to claim 2, characterized in that, The major category code marks the unit project, the intermediate category code marks the sub-unit project, the minor category code marks the sub-project, the detailed category code marks the sub-item project, and the serial number marks the construction step position. Through coding, each construction section has a unique code.

4. The method for four-dimensional display and full life-cycle traceability of construction data in rail transit engineering according to claim 3, characterized in that, The construction data acquisition and processing module recognizes the construction log file based on the entered data or text, maps the project number code to the construction log content one by one, assigns a code value to each content, and generates electronic construction log data with assigned project number codes.

5. The method for four-dimensional display and full life-cycle traceability of construction data in rail transit engineering according to claim 1, characterized in that, The serial number value of the BIM model number is consistent with the serial number code set in the construction step sequence, and the division of BIM model components is consistent with the division of construction steps, corresponding one-to-one with the position of the construction step sequence.

6. The method for four-dimensional display and full life-cycle traceability of construction data in rail transit engineering according to claim 5, characterized in that, The BIM sharing module is set at the data acquisition module interface. It uses BIM coding as a data sharing link to realize the retrieval of BIM model components and corresponding construction log data. By extracting the coding, the construction log data of the BIM component corresponding to the coding can be read in real time. The BIM model components with associated construction data are generated in the background and can be retrieved at any time. The BIM model is then displayed and analyzed in three dimensions based on the scheduled construction log data.

7. The method for four-dimensional display and full life-cycle traceability of construction data in rail transit engineering according to claim 1, characterized in that, The four-dimensional display module assigns personalized colors to completed BIM model components and grayscale to unbuilt BIM models according to the construction sequence, thus displaying the construction progress.

8. The method for four-dimensional display and full life-cycle traceability of construction data in rail transit engineering according to claim 7, characterized in that, The four-dimensional display module analyzes and processes the daily push of construction log data, and generates a floating window display of construction quantity table, investment output value table, on-site construction data completion rate and on-site production factor information. When visually displaying the station progress, it realizes the dynamic evolution of station BIM data over time and the four-dimensional display of the station's visual progress.

9. The method for four-dimensional display and full life-cycle traceability of construction data in rail transit engineering according to claim 1, characterized in that, The quality tracking module extracts safety and quality information based on the collected data from various units through text recognition and image recognition, and associates it with the corresponding BIM model components through the project number code, thereby realizing the traceability of quality information throughout the entire life cycle of each BIM model component, and targeting monitoring and testing data.

10. The method for four-dimensional display and full life-cycle traceability of construction data in rail transit engineering according to claim 1, characterized in that, The quality tracking module is equipped with an early warning threshold. When the data detected by the quality tracking module exceeds the early warning threshold, a risk level color is assigned to the corresponding BIM model component, and the relevant authorized personnel are notified via communication information. The module promptly issues engineering quality warning information and proposes suggestions for handling quality incidents, thereby realizing full life-cycle engineering quality tracking and decision support.

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