A digital management method based on BIM process tracking
By using BIM-based process tracking as a digital management method, the problems of data fragmentation and arbitrary execution in traditional railway engineering construction management have been solved, enabling refined control and improved safety throughout the entire construction process.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JINTAI RAILWAY CO LTD
- Filing Date
- 2026-02-11
- Publication Date
- 2026-06-02
AI Technical Summary
Traditional railway engineering construction suffers from problems such as high reliance on manual labor, data silos, information lag, opaque acceptance procedures, and complex calculation programs, leading to untimely construction management and a lack of digital collaboration mechanisms.
A digital management approach based on BIM process tracking is adopted, which achieves digital control of the entire construction process through process atomization, digital twin construction, and dynamic data linkage, combined with a lightweight graphics engine and digital model separation technology.
It improved construction quality and efficiency, enabled refined management of the entire construction process, enhanced construction safety and data interaction flexibility, and avoided delays in data results.
Smart Images
Figure CN122134279A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of BIM construction technology in building engineering, and in particular to a digital management method based on BIM process tracking. Background Technology
[0002] Building Information Modeling (BIM) is a new tool for architecture, engineering, and civil engineering that enables the integration of building information. It is widely used in engineering simulation, testing, and actual working condition processing, thereby improving production efficiency, saving costs, and shortening construction time.
[0003] Traditional railway engineering relies heavily on manual labor for project status and progress management, making it difficult to accurately assess current project status and progress. For example, process management depends on manual data entry and paper forms, leading to data silos, information delays, and opaque acceptance processes. To address the issues of fragmented data and arbitrary execution in traditional railway engineering process management, many modern construction projects are now practically applying BIM technology throughout or part of the project lifecycle. Chinese invention patent CN 114003983 A discloses a method and system for controlling tunnel excavation progress and processes based on BIM. First, a first state matrix and a second state matrix are constructed. Second, unit description information is extracted and the first matrix units are determined. Then, according to an interface protocol, the unit description information is mapped to the first matrix units to generate a state transition list between historical stress and settlement states. Finally, based on the state transition list, a stress state trajectory curve of the target mountain is generated, and a set of working parameters corresponding to the tunneling machine is generated based on the stress state trajectory. In this way, when the current working parameters of the tunnel boring machine are obtained, the current stress state corresponding to the current working parameters can be determined from the stress state trajectory curve based on the set of working parameters. Control commands are then generated and sent to the tunnel boring machine based on the current stress state. This reduces the delay in stress state analysis of the tunnel, reduces the delay in adjusting and controlling tunnel excavation procedures, and avoids production accidents. However, this technical solution requires complex control programs and lacks a digital collaboration mechanism, making it impossible to achieve refined management and control throughout the entire construction process.
[0004] Therefore, the following problems exist in the use of BIM technology for monitoring engineering construction in the existing technology: First, it relies on manual fixed-point measurement to collect actual measurement data, which leads to problems such as data silos, information lag, and lack of transparency in acceptance; second, when adjusting and controlling the process through the BIM model, the calculation program is complex, resulting in untimely execution; and third, it lacks a digital collaboration mechanism, making it impossible to achieve refined management and control of the entire construction process. Summary of the Invention
[0005] The purpose of this invention is to provide a digital management method and system based on BIM process tracking. By combining Building Information Modeling (BIM) technology, and through process atomization, digital twin construction, and dynamic data linkage, digital control of the entire construction process can be achieved.
[0006] To achieve the above objectives, this application discloses a digital management method based on BIM process tracking, comprising the following steps:
[0007] S1: Process Atomization and Digital Twin Construction:
[0008] 1) Based on WBS decomposition and BIM coding mapping, the project is decomposed into the following levels: "Unit Project → Sub-project → Item Project → Inspection Lot → Work Process", forming a tree structure. The responsible parties and deliverables of each level are clearly defined, and the BIM model is associated with "Inspection Lot → Work Process → Quality Acceptance Form".
[0009] 2) On the BIM platform, each inspection batch is assigned an inspection batch code according to the WBS division of the BIM model, and dynamically bound to the corresponding inspection batch process unit;
[0010] 3) Pre-set standardized quality acceptance forms for each inspection batch corresponding to the corresponding process in the BIM platform;
[0011] 4) After all the processes of the inspection batch are completed and the inspection batch is deemed qualified, the BIM model status will change color through the completion status of the inspection batch processes, forming a deliverable digital twin.
[0012] S2: Lightweight Model and Data Separation Architecture Setup
[0013] 1) Convert the BIM model into a lightweight model file format. The model file is stored independently from the business data and linked through batch codes.
[0014] 2) Using the digital-model separation technology, a data mapping table is constructed to establish the association between the BIM model and "inspection batch → process → quality acceptance form" in the database;
[0015] 3) Develop interfaces to enable dynamic interaction between the model and data through interface communication;
[0016] S3: Dynamic Management of Construction Procedures:
[0017] The unit project is divided into sections → sub-items → sub-sub-items → inspection batches according to the inspection standards on the BIM platform. Construction data is collected in real time through the inspection batch process form to trigger the BIM model status to change color. When the process is accepted and the inspection batch is qualified, the BIM model and process data are integrated to form a deliverable digital twin.
[0018] S4: Quality data penetration management:
[0019] 1) Fill in the acceptance data for each process of the inspection batch on site, and upload photos and / or videos. If the previous process has not been accepted, the data entry for the next process cannot be carried out. The process data is synchronized to the BIM model in real time.
[0020] 2) Acceptance of each process, multi-role collaborative processing, and support for online submission and closed-loop verification of quality problem rectification.
[0021] According to an embodiment of this application, in step S1, dynamic binding specifically includes associating the code with the inspection batch process node through an API interface.
[0022] According to embodiments of this application, the separation logic of the model-data separation technology is to store only geometric information and basic attributes, store them independently in a lightweight format, and establish a mapping relationship between the model and the inspection batch process through a unique code.
[0023] According to an embodiment of this application, step S2, converting the BIM model into a lightweight format, specifically includes: using dynamic loading technology to load visible model blocks according to the field of view, and associating inspection batch forms, historical images, and rectification records by clicking on the components.
[0024] According to an embodiment of this application, in step S2, the interface communication is either a REST API or GraphQL.
[0025] According to an embodiment of this application, in step S2, the BIM model is converted into a lightweight 3D Tiles format, and the size of the compressed 3D Tiles file is reduced by 60%-80% compared to the original BIM file.
[0026] According to the embodiments of this application, in step S4, the multi-source data comparison specifically includes: parsing the inspection batch form, supervision log, and on-site monitoring record using NLP technology, extracting key fields for automated verification, marking inconsistent fields with red borders on the visual comparison interface, supporting clicking to view detailed conflict explanations, and displaying the abnormal data of the inspection batch form, supervision log, and on-site monitoring record in parallel for manual review.
[0027] According to an embodiment of this application, in step S4, the closed-loop process further includes: after the verification is completed, the system automatically assigns a responsible party and pushes a notification through the APP channel; after the rectification is completed, the re-verification process is triggered, and the data status is updated to "handled".
[0028] The advantages of the present invention over the prior art are:
[0029] 1. This application adopts a lightweight graphics engine and digital model separation technology to improve model loading efficiency and data interaction flexibility; it implements penetrating management of quality data, and achieves real-time early warning and collaborative closed-loop processing of anomalies through multi-source data comparison (inspection batches, supervision logs, and on-site records); it dynamically links process progress with the BIM model to generate a 4D progress view, supporting resource optimization and decision analysis. This application solves the problems of data fragmentation and arbitrary execution in traditional process management, and significantly improves construction quality and efficiency.
[0030] 2. This application combines Building Information Modeling (BIM) technology to achieve digital control of the entire construction process through process atomization, digital twin construction, and dynamic data linkage, thus avoiding the problem of existing technologies lacking digital collaboration mechanisms and being unable to achieve refined management of the entire construction process.
[0031] 3. This application uses BIM technology to measure the real-time location information of the measurement control points at each construction process. By using the real-time location information data, it can determine whether there are construction quality problems at each point and provide early warnings for the occurrence of risks, thereby improving construction safety and avoiding delays in data results. Attached Figure Description
[0032] Figure 1 A flowchart illustrating a digital management method based on BIM process tracking, as exemplified by this invention;
[0033] Figure 2 This is a schematic diagram of process atomization decomposition in a digital management method based on BIM process tracking, as exemplified by the present invention.
[0034] Figure 3 This is a lightweight model and data interaction flowchart of a digital management method based on BIM process tracking, as exemplified by the present invention.
[0035] Figure 4 This is a schematic diagram of the process dynamic simulation interface of a digital management method based on BIM process tracking, as exemplified by the present invention.
[0036] Figure 5 This is a schematic diagram of a quality penetration management interface for a digital management method based on BIM process tracking, as exemplified by the present invention. Detailed Implementation
[0037] The present invention will be further described below with reference to the accompanying drawings and specific embodiments. The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0038] The essence of WBS is to break down a project layer by layer from "general contractor → unit project → sub-section → sub-item → process" into deliverable, measurable, and accountable small task packages (work packages); the essence of BIM is to break down a project layer by layer from "profession → system → component" into three-dimensional model elements with geometry, attributes, and codes; "WBS-BIM mapping" is to attach corresponding model components to each task, so that the schedule, cost, and quality automatically follow the model.
[0039] Please see Figures 1 to 5 The diagram illustrates the entire process of a BIM-based digital management method for process tracking, including the following steps:
[0040] S1: Process Atomization and Digital Twin Construction:
[0041] 1) Based on WBS decomposition and BIM coding mapping, the project is decomposed into the following levels: "Unit Project → Sub-project → Sub-sub-project → Item Project → Inspection Lot → Work Process", forming a tree structure. The responsible parties and deliverables of each level are clearly defined, and the BIM model is associated with "Inspection Lot → Work Process → Quality Acceptance Form".
[0042] 2) On the BIM platform, each inspection batch is assigned an inspection batch code according to the WBS division of the BIM model, and dynamically bound to the corresponding inspection batch process unit;
[0043] 3) Pre-set standardized quality acceptance forms for each inspection batch corresponding to the corresponding process in the BIM platform;
[0044] 4) All processes in the inspection batch are inspected and accepted. After the inspection batch passes the inspection, the BIM model status is triggered by the completion status of the inspection batch process. The BIM model is then integrated with the process data to form a deliverable digital twin.
[0045] Specifically, such as Figure 2 As shown, through a five-level structure of "unit project → sub-project → itemized project → inspection batch → process", the system presents the logic of atomized decomposition of processes based on the BIM model, and its core features are as follows:
[0046] 1) Structured decomposition path (BIM model mapping)
[0047] The unit project (such as the "cross-sea super bridge") corresponds to the **overall bridge entity** in the BIM model;
[0048] Sub-projects (such as "foundation and substructure" and "superstructure") are mapped to functional spaces or component groups (such as piers and beam segments) in the BIM model.
[0049] Sub-projects (such as “No. 1 pile foundation - drilling” and “cast-in-place trough beam”) are further refined into constructable components in BIM (such as single piles and single-span beams).
[0050] Inspection batches (such as "drilling quality acceptance" and "reinforcing bar acceptance report") correspond to the construction section or quality inspection unit in the BIM model;
[0051] The process (such as "steel casing installation" or "concrete pouring order") is broken down into the smallest operable construction actions in the BIM model, namely "process atoms".
[0052] 2) BIM representation of process atomization
[0053] BIM model geometric information attributes are integrated: each "inspection batch process atom" is associated with the geometric data (such as pile foundation coordinates, beam segment dimensions) and construction attributes (such as concrete strength) of the BIM model inspection batch acceptance unit, realizing "inspection batch model management of the acceptance form of each process in the inspection batch";
[0054] Time-dimensional linkage: Atomized processes such as "drilling → hole cleaning → rebar tying → concrete pouring" are dynamically visualized using different colors, eliminating the ambiguity of the actual completion of inspection batches in the traditional sense;
[0055] Precise resource matching: Each atomized process is bound to the requirements of manpower, materials and equipment (such as drilling requires rotary drilling rigs, underwater grouting requires guide pipes), and BIM automatically calculates resource conflicts and optimization paths.
[0056] 3) Atomic-level penetration of quality inspection and acceptance
[0057] Inspection batches are linked to the model: for example, the "Pile Foundation Concrete Inspection Report Form" is directly linked to the pouring record data (temperature, slump, etc.) of the pile in the BIM model, realizing the mapping between model and form data;
[0058] Granularity of problem traceability: If a certain process (such as "formwork verification") fails to pass inspection, BIM can accurately locate the local coordinates of the specific component (such as the elevation deviation of the formwork at section AA of the 12th span beam), rather than simply labeling it as "formwork problem".
[0059] Should Figure 2 It reveals how BIM models, through structured decomposition and process atomization, transform the traditionally vague construction process into a simulateable and verifiable digital twin action unit, thereby achieving a paradigm shift from "experience-driven" to "model-driven" construction.
[0060] Specifically, in step S1, dynamic binding includes associating the code with the inspection batch process node through the API interface.
[0061] S2: Lightweight Model and Data Separation Architecture Setup
[0062] 1) Convert the BIM model into a lightweight model file format. The model file is stored independently from the business data and linked through batch codes.
[0063] 2) Using the digital-model separation technology, a data mapping table is constructed to establish the association between the BIM model and "inspection batch → process → quality acceptance form" in the database;
[0064] 3) Develop interfaces to enable dynamic interaction between the model and data through interface communication.
[0065] Specifically, Figure 3 The demonstration showcases a technical chain for dynamic interaction between lightweight BIM models and business data, which can be summarized as a four-step closed loop: "model slimming → code-driven → API dynamic calling → front-end visualization". This process, through "GLTF lightweighting + API dynamic data binding", transforms bulky BIM models into digital twins that can be opened instantly in web pages and updated in real time with the construction progress, realizing "model as entry point, data as service".
[0066] Specifically, the separation logic of the model-data separation technology is to store only geometric information and basic attributes, store them independently in a lightweight format, and establish the mapping relationship between the model and the data through unique coding.
[0067] Specifically, in step S2, converting the BIM model into a lightweight format includes: using dynamic loading technology to load visible model blocks according to the field of view, and associating inspection batch forms, historical images, and rectification records by clicking on the components.
[0068] Specifically, in step S2, the interface communication is preferably REST API or GraphQL. REST API (Representation Layer State Transfer Application Programming Interface) is a network interface based on the HTTP protocol; GraphQL (Graph Query Language) is a query language plus a runtime system.
[0069] Specifically, in step S2, the BIM model is converted into a lightweight 3D Tiles format, and the size of the compressed 3D Tiles file is reduced by 60%-80% compared to the original BIM file.
[0070] S3: Dynamic Management of Construction Procedures:
[0071] The unit project is divided into sections, sub-items, sub-sub-items, and inspection batches according to inspection standards on the BIM platform. Construction data is collected in real time through the completion status of the inspection batch process form, which triggers the BIM model status to change color. When the process is completed and the inspection batch is qualified, the BIM model and process data are integrated to form a deliverable digital twin.
[0072] The "inspection standards" here refer to the current national unified standards for construction quality acceptance and its supporting professional acceptance standards.
[0073] Specifically, such as Figure 4 As shown, the interface combines the three separate aspects of "planning, actual implementation, and quality inspection" into a single diagram: the left side shows the structure, the top shows the timeline, the middle shows the status, and the right side shows the evidence. Each time the timeline is dragged, the page calls the lightweight GLTF+ API to redraw the model within 1 second, completing a digital twin synchronization at the second level, achieving true "process-level 4D dynamic simulation".
[0074] S4: Quality data penetration management:
[0075] 1) Fill in the acceptance data for each process of the inspection batch on site, upload photos and / or videos for key processes. If the previous process has not been accepted, the data entry for the next process cannot be carried out. The process data is synchronized to the BIM model in real time.
[0076] 2) Acceptance of each process, multi-role collaborative processing, and support for online submission and closed-loop verification of quality problem rectification.
[0077] Specifically, such as Figure 5 As shown, this is a typical interface for "quality penetration management". It compresses all data related to "quality" (inspection batches, on-site observation, supervision logs, on-site photos, etc.) into an interactive table through the three-axis coordinate system of "process-location-time", so as to achieve "discovering abnormalities at a glance, drilling down evidence with one click, and closed-loop rectification".
[0078] Specifically, in step S4, the multi-source data comparison includes: using NLP technology to analyze inspection batch forms, supervision logs, and on-site observation records, extracting key fields for automated verification, marking inconsistent fields with red borders on the visual comparison interface, supporting clicking to view detailed conflict explanations, and displaying inspection batch forms, supervision log paragraphs, and on-site observation images side by side for manual review.
[0079] Specifically, in step S4, the closed-loop process also includes: after the verification is completed, the system automatically assigns the responsible party, pushes a notification through the APP channel, and after the rectification is completed, the re-verification process is triggered, the data status is updated to "handled", and a closed-loop report is generated.
[0080] Example 1: Process Management Steps for a Railway Project
[0081] Model decomposition: The bridge project is decomposed into 1200 inspection batches and bound to BIM component codes (such as QL-ZJ-001).
[0082] Data collection: Workers fill in data through an app, and supervisors upload videos of workers holding up signs to inspect the work.
[0083] Anomaly Handling: If the system detects that the verticality deviation of a certain pile foundation is greater than 1%, it will automatically send a rectification notice and complete the correction within 12 hours.
[0084] Digital delivery: The as-built model integrates the process data of the inspection batch (inspection reports, images) and transfers them to the operation and maintenance platform.
[0085] Example Scenario 2: Atomized Decomposition of Drilled Piles Based on BIM Model
[0086] like Figure 1 As shown, an example scenario: atomized decomposition of bored piles.
[0087] BIM model hierarchy:
[0088] Cross-sea super bridge (unit project) → foundation and substructure (sub-project) → No. 1 pile foundation (sub-item) → drilling and hole cleaning (inspection batch) → geological verification → steel casing installation → drilling → mud test → hole acceptance (atomic process).
[0089] Data linkage:
[0090] When the "geological verification" process discovers a weak interlayer, BIM automatically triggers the design change process, updates the pile length parameters and recalculates the concrete volume, and simultaneously adjusts the hoisting plan for the subsequent "reinforcing cage installation" process.
[0091] Example 3: Scenario Example of Lightweight Model and Data Interaction Flowchart
[0092] like Figure 3 As shown:
[0093] Source: BIM design software (model production end):
[0094] The original model was created using BIM software such as Revit and Bentley, and contains complete geometry (NURBS / parametric solids) and attributes (materials, component codes, process IDs, etc.).
[0095] Key output:
[0096] Component code (e.g., Pile-1#-C30) – a unique identifier;
[0097] Process ID (e.g., Drill-001) – is associated with business data such as construction progress and quality inspection.
[0098] Model preprocessing and lightweighting:
[0099] GLTF format conversion: The original BIM model is converted into GLTF (Web Universal 3D Format) through techniques such as polygon reduction, LOD (Level of Detail), and instantiation, reducing the size by more than 60% while preserving geometric accuracy and component coding;
[0100] Data decoupling: Geometric data (.glb / .gltf files) and business data (process status, quality inspection reports) are stored separately. The former is loaded in a lightweight manner, while the latter is dynamically invoked.
[0101] Dynamic data interaction (API layer):
[0102] REST API / GraphQL:
[0103] Query example (GraphQL):
[0104] query {
[0105] pile(id: "Pile-1#") {
[0106] geometryURL # Lightweight model link
[0107] processID # Associated process ID
[0108] concreteStrength # Business Data
[0109] }
[0110] }
[0111] Real-time updates: After the on-site APP uploads "Pile foundation drilling completed", the API changes the processID status to "Drill-Done", and the front-end model automatically changes color (e.g., green → blue).
[0112] Dynamic interaction logic: When the user clicks on "1# pile" in the GLTF model, the front end calls the API through the component code, returns the current process data, and updates the model display without refreshing (such as popping up a quality inspection form or progress animation).
[0113] (4) Database and front-end closed loop
[0114] Database role: Stores non-geometric business data (process status, sensor values), and is associated with the GLTF model through component code + process ID, supporting version backtracking (e.g., viewing the concrete strength record of "1# pile" three days ago).
[0115] Front-end experience: The browser loads a 50MB GLTF bridge model in just 3 seconds. Clicking on any pile foundation allows you to view business data such as drilling depth and steel cage photos in real time, without having to download the model again.
[0116] Example 4: Process Dynamic Simulation Interface
[0117] like Figure 4 As shown:
[0118] 1. Left-side tree navigation: Engineering structure decomposition (WBS-BIM mapping)
[0119] Section 1, 01 Formwork and Support - S1, 02 Reinforcing Steel - S1
[0120] Corresponding to the three-level nodes of segment-component-construction section in the BIM model, each node is associated with a unique "inspection batch ID" to ensure bidirectional positioning between page clicks and model selection.
[0121] 2. Top Time Control: 4D Timeline Engine
[0122] Start Time / End Time / "Mang..." "Mang" should be the current simulation date cursor (or milestone) on the Gantt bar. Dragging it will prompt the system to request a snapshot of the process status for that date from the background, driving the model to change color, grow, or hide.
[0123] 3. Central Matrix: Real-time process status dashboard (atomic level)
[0124]
[0125] 86, 85, V: “86, 85” represents the percentage (or amount of work) completed on the day, and V = Verified, indicating that the quality inspection has been passed. The system writes back data from the on-site IoT, APP, and quality inspection report via REST / GraphQL.
[0126] Colors / icons: Gray = Not started, Blue = In progress, Green = Completed, Red = Delayed, achieving **"one glance to locate delayed processes".
[0127] 4. Right side / floating window: One-click access to quality inspection records
[0128] Clicking on a row in the matrix of the "Steel Casing Installation Quality Inspection Record" will bring up the original table, measured values, photos, and signed PDFs corresponding to that process. The data comes from the database and is bidirectionally indexed with the BIM component code, supporting reverse lookup for issues.
[0129] Example 5: Quality Penetration Management Interface
[0130] 1. Left side: Quick navigation of engineering structures
[0131] The tree-structured directory 01 Roadbed / 02 Bridge / 11 Temporary Buildings directly correspond to the BIM model sub-items. Clicking on a sub-item will filter the table on the right, achieving **two-way positioning between the model and the table**.
[0132] 2. Middle: Traffic lights in abnormal conditions
[0133]
[0134] Clicking on a red abnormal row will bring up a rectification order, which will specify the responsible person and the rectification deadline. The status will automatically refresh after the rectification is completed.
[0135] 3. Right side: A chain of evidence that leads straight to the end.
[0136] "View" button → Pass through to:
[0137] BIM 3D / 720 panoramic positioning of the bored pile;
[0138] Original inspection batch forms (including scanned copies of signatures);
[0139] On-site recording (time, photos, videos);
[0140] Supervision log (text, voice, location). Forming a four-dimensional closed loop of "problem-model-evidence-responsible person".
[0141] like Figure 5 As shown, the interface transforms "massive data" into a "traffic light table": red indicates risk, clicking it allows for penetration, and rectification leads to closure, transforming quality management from "post-event data collection" to "real-time anomaly detection."
[0142] In summary, the technical solution of this application has the following beneficial effects:
[0143] 1. This application adopts a lightweight graphics engine and digital model separation technology to improve model loading efficiency and data interaction flexibility; it implements penetrating management of quality data, and achieves real-time early warning and collaborative closed-loop processing of anomalies through multi-source data comparison (inspection batches, supervision logs, and on-site records); it dynamically links process progress with the BIM model to generate a 4D progress view, supporting resource optimization and decision analysis. This application solves the problems of data fragmentation and arbitrary execution in traditional process management, and significantly improves construction quality and efficiency.
[0144] 2. This application combines Building Information Modeling (BIM) technology to achieve digital control of the entire construction process through process atomization, digital twin construction, and dynamic data linkage, thus avoiding the problem of existing technologies lacking digital collaboration mechanisms and being unable to achieve refined management of the entire construction process.
[0145] 3. This application uses BIM technology to measure the real-time location information of the measurement control points at each construction process. By using the real-time location information data, it can determine whether there are construction quality problems at each point and provide early warnings for the occurrence of risks, thereby improving construction safety and avoiding delays in data results.
[0146] The above are merely preferred embodiments of the present invention and are not intended to limit the implementation methods and protection scope of the present invention. Those skilled in the art should recognize that any equivalent substitutions and obvious changes made based on the description and illustrations of the present invention should be included within the protection scope of the present invention.
Claims
1. A digital management method based on BIM process tracking, characterized in that, Includes the following steps: S1: Process Atomization and Digital Twin Construction: 1) Based on WBS decomposition and BIM coding mapping, the project is decomposed into the following levels: "Unit Project → Sub-project → Item Project → Inspection Lot → Work Process", forming a tree structure. The responsible parties and deliverables of each level are clearly defined, and the BIM model is associated with "Inspection Lot → Work Process → Quality Acceptance Form". 2) On the BIM platform, each inspection batch is assigned an inspection batch code according to the WBS division of the BIM model, and dynamically bound to the corresponding inspection batch process unit; 3) Pre-set standardized quality acceptance forms for each inspection batch corresponding to the corresponding process in the BIM platform; 4) All processes of the inspection batch are inspected and accepted. After the inspection batch passes the inspection, the BIM model status is triggered by the completion status of the inspection batch process, forming a deliverable digital twin. S2: Lightweight Model and Data Separation Architecture Setup 1) Convert the BIM model into a lightweight model file format. The model file is stored independently from the business data and linked through batch codes. 2) Using the data model separation technology, a data mapping table is constructed to establish the association between the BIM model and "inspection batch → process → quality acceptance form" in the database; 3) Develop interfaces to enable dynamic interaction between the model and data through interface communication; S3: Dynamic Management of Construction Procedures: The unit project is divided into sections → sub-items → sub-sub-items → inspection batches according to the inspection standards on the BIM platform. Construction data is collected in real time through the completion status of the inspection batch table and work order, which triggers the BIM model status to change color. When the work process is completed and the inspection batch is qualified, the BIM model and work process data are integrated to form a deliverable digital twin. S4: Quality data penetration management: 1) Fill in the acceptance data for each process of the inspection batch on site, and upload photos and / or videos. If the previous process has not been accepted, the data entry for the next process cannot be carried out. The process data is synchronized to the BIM model in real time. 2) Acceptance of each process, multi-role collaborative processing, and support for online submission and closed-loop verification of quality problem rectification.
2. The digital management method based on BIM process tracking according to claim 1, characterized in that, In step S1, the dynamic binding specifically includes associating the code with the inspection batch process node through the API interface.
3. The digital management method based on BIM process tracking according to claim 1, characterized in that, The separation logic of the digital-model separation technology is to store only geometric information and basic attributes, and to store them independently in a lightweight format. The mapping relationship between the model and the inspection batch process is established through the inspection batch code.
4. The digital management method based on BIM process tracking according to claim 1, characterized in that, In step S2, converting the BIM model into a lightweight format specifically includes: using dynamic loading technology to load visible model blocks according to the field of view, and associating inspection batch forms, historical images, and rectification records by clicking on the components.
5. A digital management method based on BIM process tracking according to claim 1, characterized in that, In step S2, the interface communication is either a REST API or GraphQL.
6. The digital management method based on BIM process tracking according to claim 1, characterized in that, In step S2, the BIM model is converted into a lightweight 3D Tiles format, and the size of the compressed 3D Tiles file is reduced by 60%-80% compared to the original BIM file.
7. A digital management method based on BIM process tracking according to claim 1, characterized in that, In step S4, the multi-source data comparison specifically includes: parsing inspection batch forms, supervision logs, and on-site records using NLP technology, extracting key fields for automated verification, marking inconsistent fields with red borders on the visual comparison interface, supporting clicking to view detailed conflict explanations, and displaying abnormal data from inspection batch forms, supervision logs, and on-site records side by side for manual review.
8. A digital management method based on BIM process tracking according to claim 1, characterized in that, In step S4, the closed-loop process further includes: after the verification is completed, the system automatically assigns the responsible party and pushes a notification through the APP channel. After the rectification is completed, the re-verification process is triggered, and the data status is updated to "handled".