Rail transit prefabricated part production quality information tracking system construction method
By establishing engineering codes, data uploading modules, BIM model feedback, and AI processing, the fragmented quality control problem in the precast component production process has been solved, enabling full-process tracking and data-driven management, thereby improving management efficiency and engineering quality and safety.
Patent Information
- Application Number
- CN202511452792.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-13
- Publication Date
- 2026-01-27
AI Technical Summary
The existing quality control in the production process of precast components suffers from limited coverage, fragmented data records, and difficulty in real-time monitoring of key processes, resulting in substandard quality and high rework costs. Furthermore, the lack of a unified data association and storage medium makes it difficult to trace back to specific production batches and responsible persons.
By employing modules for engineering coding, uploading production quality information via photos, data processing and querying, BIM model feedback, AI processing, and cost comparison, the precast component production process can be fully tracked and managed digitally. Modules are developed using mainstream programming languages such as Java, C#, Rust, Go, and PHP, and combined with the BIM platform, data interconnection and multi-scenario queries are achieved.
It enables full-process tracking of safety and quality information in the production of precast components, improves management efficiency, ensures project quality and safety, expands the application scenarios of economic and technical analysis, and promotes high-quality development of the industry.
Smart Images
Figure CN121414201A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of rail transit engineering construction, and specifically relates to a method for constructing a production quality information tracking system for prefabricated rail transit components. Background Technology
[0002] Currently, precast components have become core building materials in fields such as construction, rail transit, and municipal engineering due to their advantages of high efficiency, environmental protection, and standardization. The industry's production capacity and demand are growing rapidly. However, with the expansion of production scale, the quality control issues in the production process of precast components are becoming increasingly prominent. Under the existing production model, quality supervision relies heavily on manual sampling, which has defects such as limited coverage and fragmented data records. It is difficult to monitor key processes such as concrete mix proportions, steel reinforcement layout, and curing conditions in real time, which can easily lead to quality problems such as substandard strength. Therefore, it is necessary to implement quality control for precast components.
[0003] However, the existing quality control system has obvious shortcomings. Information from each link is scattered in production logs and paper documents, lacking a unified data association and storage medium. Once a quality problem is discovered later, it is difficult to quickly trace it back to the specific production batch, operation station and responsible person. This not only increases rework costs and safety risks, but may also affect the progress of the project due to quality disputes. Summary of the Invention
[0004] To address the aforementioned problems and technical deficiencies, this application adopts the following technical solution: a method for constructing a production quality information tracking system for prefabricated rail transit components, comprising the following steps: Step 1: Based on the construction sequence and the division of rail transit engineering into different parts, assign an engineering code to each precast component. Step 2: Based on the construction drawings provided by the design unit, refine the detailed drawings of the precast component templates, embedded parts and steel reinforcement processing, and refine the detailed processing drawings of each precast component; Step 3: Establish a "Take a Photo and Upload" module for production quality information, and use a camera to capture and upload production process information of precast components to the module's data storage unit; Step 4: Establish a production quality information data processing and query module to realize the mutual feedback between precast component production process information and BIM model data based on real-time transmitted data; Step 5: Establish a production information data AI processing module to compare and check the precast component production and processing data with the construction drawing design data, and generate a verification report in the form of charts; Step 6: Establish a production quality information cost comparison module, extract relevant engineering quantity comparison data from the verification report, and generate a precast component cost comparison result report.
[0005] Preferably, the engineering code consists of 12 data elements, including: a 2-letter uppercase category code, a 2-digit middle category code, a 2-digit minor category code, a 2-digit detailed category code, and a 4-digit serial number code.
[0006] Furthermore, the serial number in the engineering code corresponds to a prefabricated component, and each prefabricated component has a unique code.
[0007] Preferably, the name of the processing detail drawing consists of the engineering code, the name of the prefabricated component, and the detailed detail drawing.
[0008] Preferably, the production process information includes: production quality documents, processing detail drawings, construction preparation stage data, manufacturing stage data, acceptance stage data, strength test reports, finished product acceptance checklists, and factory certificates of conformity.
[0009] Preferably, the BIM model establishment process is as follows: setting up a compatible BIM module data interface, interconnecting with external BIM platform module data, formulating BIM model coding according to the project number code, and establishing a BIM model corresponding to the precast pile production process information.
[0010] Furthermore, the data processing and query module is equipped with a multi-scenario query function. When production problems occur in the use of prefabricated components, users can perform multi-dimensional queries based on the location, time, and size of the prefabricated components to find the steps that caused the problem.
[0011] Preferably, the precast component cost comparison report is generated by calculating the cost increase or decrease of precast component production and processing versus construction drawing budget based on preset engineering budget quotas, contract unit prices, and comprehensive unit price information.
[0012] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the content of the method for constructing a production quality information tracking system for prefabricated rail transit components as described above.
[0013] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the content of the method for constructing a production quality information tracking system for prefabricated rail transit components as described above.
[0014] Compared to existing technologies, the beneficial effects of this application are as follows: This application enables full-process tracking of safety and quality information in the production of precast components for railway stations. This information can be accessed in one place, expanding the application scenarios for economic and technical analysis of precast piles. It empowers production technology analysis and engineering cost comparison through information technology, improving the efficiency of safety and quality production management for precast components. The application yields significant economic and social benefits and has broad application prospects. It provides a solution for full-process quality supervision, real-time data recording, and traceability in precast component production, ensuring engineering quality and safety and promoting the transformation of the precast component industry towards high-quality development. Attached Figure Description
[0015] In the attached diagram: Figure 1 This is a schematic diagram of the method steps in an embodiment of this application; Figure 2 This is a schematic diagram of the device structure according to 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 constructing a production quality information tracking system for prefabricated rail transit components includes the following steps: Step 1: Based on the construction sequence and the division of rail transit engineering into different parts, assign an engineering code to each precast component. The project code consists of 12 data elements, including: a 2-letter uppercase major category code, a 2-digit intermediate category code, a 2-digit minor category code, a 2-digit detailed category code, and a 4-digit serial number code.
[0018] Each serial number in the project code corresponds to a prefabricated component, and each prefabricated component has a unique code.
[0019] Step 2: Based on the construction drawings provided by the design unit, refine the detailed drawings of the precast component templates, embedded parts and steel reinforcement processing, and refine the detailed processing drawings of each precast component; The name of the fabrication detail drawing consists of the project code, the name of the prefabricated component, and the detailed detail drawing.
[0020] Step 3: Establish a "Take a Photo and Upload" module for production quality information, and use a camera to capture and upload production process information of precast components to the module's data storage unit; Production process information includes: production quality documents, processing detail drawings, construction preparation stage data, manufacturing stage data, acceptance stage data, strength test reports, finished product acceptance checklists, and factory certificates of conformity.
[0021] Step 4: Establish a production quality information data processing and query module to realize the mutual feedback between precast component production process information and BIM model data based on real-time transmitted data; The BIM model creation process is as follows: Set up a compatible BIM module data interface, interconnect with external BIM platform module data, formulate BIM model coding according to the project number code, and create a BIM model corresponding to the precast pile production process information.
[0022] The data processing and query module is equipped with a multi-scenario query function. When production problems occur in the use of prefabricated components, users can perform multi-dimensional queries based on the location, time, and size of the prefabricated components to find the steps that caused the problem.
[0023] Step 5: Establish an AI processing module for production information data to compare and check the precast component production and processing data with the construction drawing design data, and generate a verification report in chart form. Step 6: Establish a production quality information cost comparison module, extract relevant engineering quantity comparison data from the verification report, and generate a precast component cost comparison result report.
[0024] The precast component cost comparison report is generated by calculating the cost increase or decrease of precast component production and processing versus construction drawing budget based on preset engineering budget quotas, contract unit prices, and comprehensive unit price information.
[0025] Example 2 The first step is to develop engineering codes for prefabricated components. Based on the division of rail transit engineering into sub-items, engineering code numbers for each sub-item are compiled. 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 digits). The serial number in the code is accurate to each specific prefabricated component, ensuring that each prefabricated component has a unique code.
[0026] The second step is to refine the precast component fabrication drawings based on the construction drawings. Based on the construction drawings provided by the design unit, refine the precast component templates, embedded parts, and steel reinforcement fabrication details, and name these details as "Project Code + Precast Component + Detailed Drawing".
[0027] The third step is to develop a "snap and upload" module for production quality information. This module is implemented using mainstream programming languages such as Java, C#, Rust, Go, and PHP, and is accompanied by a developed app. Using a handheld device's camera, users can capture images of precast component production quality documents, detailed processing drawings, and manual processes such as rebar tying, concrete pouring, curing, and acceptance, and upload these images to the module's data storage unit. The module's computer interface includes a file upload function, allowing production personnel to upload documents such as precast component concrete strength test reports, finished product acceptance checklists, and factory certificates of conformity with a single click.
[0028] The fourth step is to develop a production quality information data processing and query module. This module is implemented using mainstream programming languages such as Java, C#, Rust, Go, and PHP. It can interconnect with external BIM platform modules, and under the condition of consistent engineering code, it realizes the sharing and feedback of precast component production quality information data. By associating the engineering code with the BIM model and transmitting it via communication, the precast component production quality information and BIM model data can be shared and fed back together. This module has a multi-scenario query function, allowing users to perform multi-dimensional queries based on factors such as the location, time, and size of precast components.
[0029] The fifth step is to develop an AI processing module for production information data. This involves utilizing mainstream AI architectures such as MOE and Transformer, and deploying the AI processing module in the production information system using mainstream programming languages such as Java, C#, Rust, Go, and PHP. This module compares and checks precast component production and processing data with construction drawing design data. Based on the construction drawing design documents, the AI extracts production and processing technical requirements, design plans, sections, and detailed drawings. It then checks quality documents such as precast component inspection reports and checklists according to the technical requirements, and compares and checks the detailed drawings of precast component production and processing against the construction drawings, generating a verification report in chart form.
[0030] The sixth step is to develop a production quality information cost comparison module. This module is implemented using mainstream programs such as Java, C#, Rust, Go, and PHP. Based on the verification report generated by the AI processing module, it extracts relevant engineering quantity comparison data and calculates the cost increase or decrease between the precast component production and processing and the construction drawing budget according to the set engineering budget quotas, contract unit prices, and comprehensive unit prices, generating a precast component cost comparison result report.
[0031] Through the above steps, the entire process of safety and quality information in precast pile production is tracked, which improves the efficiency of engineering safety and quality management, yields significant economic and social benefits, and has broad application prospects.
[0032] Example 3 Taking a precast pile component of a subway station as an example, the following construction method is used: The first step is to establish a unique code for each precast pile project. Based on the division of precast piles into different parts and according to the construction sequence, a unique location code is assigned to each precast pile, forming a precast pile project number code. This code consists of 12 data elements: a major category code (2 uppercase letters), a minor category code (2 digits), a sub-category code (2 digits), a detailed category code (2 digits), and a serial number code (4 letters + numbers). An example code is JG-05.03.00-F131.
[0033] The second step is to refine the precast pile formwork, steel reinforcement embedded parts, and steel reinforcement processing detail drawings based on the precast pile construction drawings, and name the processing detail drawings as "serial number code + precast component + detailed detail drawing", for example, "F131-precast pile-pile head steel reinforcement processing detail drawing".
[0034] The third step is to develop a module for uploading production quality information via photos. This module is developed using Java, along with a corresponding app. Using a handheld device's camera, users can capture images and videos of the precast pile construction preparation stage (site and mold photos), the precast pile fabrication stage (reinforcement binding, embedded part installation, vibration, surface curing, demolding photos, etc.), and the precast pile acceptance stage (certificate acceptance photos, inspection batches, etc.). This information is collected and uploaded to the module's data storage unit via the handheld device. The module also includes a file upload function, allowing direct uploading of precast pile design drawings, reinforcement detail drawings, concrete strength test reports, finished product acceptance checklists, and factory certificates of conformity.
[0035] The fourth step is to develop a production quality information data processing and query module. This module is developed using Java, with a BIM module-compatible data interface. BIM model coding is defined based on the project number code, forming a BIM model linked to the precast pile production quality information data. Real-time data transmission enables feedback between precast component production quality information and BIM model data. This module includes multi-scenario query functions. For example, if quality problems occur during the use of precast piles, users can perform multi-dimensional queries based on factors such as the precast pile's code, location, time, and dimensions to accurately pinpoint the steps that caused the quality problem.
[0036] The fifth step is to develop an AI processing module for production information data. This module utilizes the mainstream Transformer AI architecture and is deployed in the production information system using Java. It establishes data interfaces with other modules, allowing users to upload precast pile design drawings. The module then compares and checks the precast pile production and processing details against the design drawings and processing details, and compares and checks the precast pile inspection reports, checklists, and other quality documents according to the design and processing requirements. For any discrepancies identified during the comparisons, a verification report is generated in graphical form.
[0037] The sixth step is to develop a production quality information cost comparison module. This module is developed using Java and interfaces with the AI processing module. It retrieves data from the verification report, extracts relevant precast pile quantity comparison data, and calculates the cost difference between the precast pile production and processing and the construction drawing budget based on the comprehensive unit price in the construction contract and the budget quota in the construction drawings. This generates a precast pile cost comparison result report.
[0038] Example 4 like Figure 2 As shown, from a hardware perspective, this application provides an embodiment of an electronic device containing all or part of the content of a method for constructing a production quality information tracking system for prefabricated rail transit components. The electronic device includes a service processor and a distributed memory. The service processor is connected to the memory, and the distributed memory stores a service self-management program configured to store machine-readable instructions. The service processor executes the service self-management program, and the instructions, when executed by the processor, implement the method for constructing a production quality information tracking system for prefabricated rail transit components as described above.
[0039] From a hardware perspective, in order to effectively improve the flexibility, versatility, and efficiency of data acquisition, this application provides an embodiment of an electronic device comprising all or part of the content of a method for constructing a production quality information tracking system for prefabricated rail transit components. The electronic device specifically includes the following components: The system includes a processor, memory, a communications interface, and a bus; wherein the processor, memory, and communications interface communicate with each other via the bus; the communications interface is used to realize information transmission between the core business system, user terminals, and related databases and other related equipment of the rail transit prefabricated component production quality information tracking system construction method; the logic controller can be a desktop computer, tablet computer, or mobile terminal, etc., but this embodiment is not limited to these.
[0040] In this embodiment, the logic controller can be implemented with reference to the embodiment of the method for constructing a production quality information tracking system for prefabricated rail transit components, the content of which is incorporated herein, and repeated parts will not be described again.
[0041] It is understood that the user terminal may include smartphones, tablet electronic devices, network set-top boxes, portable computers, desktop computers, personal digital assistants (PDAs), in-vehicle devices, smart wearable devices, etc., wherein the smart wearable devices may include smart glasses, smartwatches, smart bracelets, etc.
[0042] In practical applications, parts of the method for constructing a quality tracking system for prefabricated rail transit components can be executed on the electronic device side as described above, or all operations can be completed in the client device. The choice can be made based on the processing power of the client device and the limitations of the user's usage scenario; this application does not impose any limitations on this. If all operations are completed in the client device, the client device may further include a processor.
[0043] The aforementioned client device may have a communication module (i.e., a communication unit) that can communicate with a remote server to achieve data transmission with the server. The server may include a server on the task scheduling center side, and in other implementation scenarios, it may also include a server on an intermediate platform, such as a server on a third-party server platform that has a communication link with the task scheduling center server. The server may include a single computer device, a server cluster composed of multiple servers, or a server structure of a distributed device.
[0044] Example 5 The embodiments of this application also provide a computer-readable storage medium capable of implementing the method for constructing a rail transit prefabricated component production quality information tracking system with the execution subject as a server or client in the above embodiments. The computer-readable storage medium stores a computer program, which, when executed by a processor, implements all the contents of the method for constructing a rail transit prefabricated component production quality information tracking system with the execution subject as a server or client in the above embodiments.
[0045] The embodiments of this application may be provided as methods, apparatus, or computer program products. Therefore, this application may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, this application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0046] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the process. Figure 1 One or more processes and / or boxes Figure 1A device that provides the functions specified in one or more boxes.
[0047] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0048] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0049] 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 constructing a production quality information tracking system for prefabricated rail transit components, characterized in that, Includes the following steps: Step 1: Based on the construction sequence and the division of rail transit engineering into different parts, assign an engineering code to each precast component. Step 2: Based on the construction drawings provided by the design unit, refine the detailed drawings of the precast component templates, embedded parts and steel reinforcement processing, and refine the detailed processing drawings of each precast component; Step 3: Establish a "Take a Photo and Upload" module for production quality information, and use a camera to capture and upload production process information of precast components to the module's data storage unit; Step 4: Establish a production quality information data processing and query module to realize the mutual feedback between precast component production process information and BIM model data based on real-time transmitted data; Step 5: Establish a production information data AI processing module to compare and check the precast component production and processing data with the construction drawing design data, and generate a verification report in the form of charts; Step 6: Establish a production quality information cost comparison module, extract relevant engineering quantity comparison data from the verification report, and generate a precast component cost comparison result report.
2. The method for constructing a production quality information tracking system for prefabricated rail transit components according to claim 1, characterized in that, The project code consists of 12 data elements, including: a 2-letter uppercase category code, a 2-digit middle category code, a 2-digit minor category code, a 2-digit detailed category code, and a 4-digit serial number code.
3. The method for constructing a production quality information tracking system for prefabricated rail transit components according to claim 2, characterized in that, Each serial number in the engineering code corresponds to a prefabricated component, and each prefabricated component has a unique code.
4. The method for constructing a production quality information tracking system for prefabricated rail transit components according to claim 1, characterized in that, The name of the processing detail drawing consists of the project code, the name of the prefabricated component, and the detailed detail drawing.
5. A method for constructing a production quality information tracking system for prefabricated rail transit components according to claim 1, characterized in that, The production process information includes: production quality documents, processing detail drawings, construction preparation stage data, production stage data, acceptance stage data, strength test reports, finished product acceptance checklists, and factory certificates of conformity.
6. The method for constructing a production quality information tracking system for prefabricated rail transit components according to claim 1, characterized in that, The BIM model establishment process is as follows: Set up a compatible BIM module data interface to interconnect with external BIM platform module data, formulate BIM model coding according to the project number code, and establish a BIM model corresponding to the precast pile production process information.
7. A method for constructing a production quality information tracking system for prefabricated rail transit components according to claim 6, characterized in that, The data processing and query module is equipped with a multi-scenario query function. When production problems occur in the use of prefabricated components, users can perform multi-dimensional queries based on the location, time, and size of the prefabricated components to find the steps that caused the problem.
8. A method for constructing a production quality information tracking system for prefabricated rail transit components according to claim 1, characterized in that, The precast component cost comparison report is generated by calculating the cost increase or decrease of precast component production and processing versus construction drawing budget based on preset engineering budget quotas, contract unit prices, and comprehensive unit price information.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the content of the method for constructing a production quality tracking system for prefabricated rail transit components as described in claim 1.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the content of the method for constructing a production quality tracking system for prefabricated rail transit components as described in claim 1.