Fabricated building BIM module management device and management method thereof

Abstract

The invention belongs to the technical field of buildings, and particularly relates to a fabricated building BIM module management device and a management method thereof.The fabricated building BIM module management device comprises a dynamic coding module, a three-dimensional scanning module, a data processing module, a decision grading module, an intelligent early warning module and a multi-terminal collaboration platform; according to the method, real-time binding of full-life-cycle data of the component is realized by adopting a unique ID code and a distributed database, and the database is updated in real time in combination with laser scanning; through multi-terminal real-time synchronization, the design / construction / supervision party can share a unified data source, and the cross-professional communication efficiency is high in cooperation with visual pushing; a digital twinborn file is constructed according to multi-dimensional data association, the influence range of any design change is traced through a unique ID, and full-process traceability is achieved; a three-level early warning system is formed by multi-coefficient dynamic calculation and intelligent grading in S4, and risks are recognized in advance; an early warning signal is automatically associated with a preset measure library, and automatic deviation correction is achieved from problem discovery to measure quick response starting.

Description

Technical Field

[0001] The present invention belongs to the field of construction, and particularly relates to BIM module management. Specifically disclosed is an assembly building BIM module management device and its management method. Background Art

[0002] Using a BIM device can achieve real-time linkage of project full-life cycle data, and greatly improve construction accuracy, efficiency, and risk control capabilities through digital modeling, intelligent monitoring, and collaborative management.

[0003] Existing BIM module management is mainly achieved through a centralized data platform, stores component attribute information in the IFC standard format, relies on manual periodic scanning and comparison of models with on-site progress, and uses emails / conferences for problem coordination. The typical process includes: static modeling in the design stage, manual verification before construction, periodic comparison of progress photos, recording deviations in Excel spreadsheets, and finally forming an offline acceptance report; this management mode has pain points such as data lag, low cross-professional collaboration efficiency, difficult change traceability, and lacks a real-time warning mechanism and automatic deviation correction ability. Specifically: ‌Data lag‌: Rely on manual periodic collection of on-site data, and there is usually a time difference from data collection to entry into the system, resulting in the decision-making basis being out of touch with the actual situation and unable to support dynamic construction adjustment.

[0004] ‌Low cross-professional collaboration efficiency‌: Each participating party uses an independent software platform, and data intercommunication in links such as design, construction, and supervision requires file export and import, and project time is consumed in data verification and cross-departmental communication.

[0005] ‌Difficult change traceability‌: Design change records are scattered in emails, meeting minutes, and local backup files, lacking unified version management, and it is difficult to quickly locate the responsible link when quality problems occur later.

[0006] ‌Lack of real-time warning mechanism‌: Construction deviations mainly rely on manual inspections to discover, with delayed problem identification and unable to actively intervene in potential risks.

[0007] ‌Insufficient automatic deviation correction ability‌: Deviation handling requires manual formulation of solutions, which takes a long time from problem discovery to measure implementation, and the deviation correction effect depends on personal experience.

[0008] Therefore, a method with real-time data update, high collaboration efficiency, full-process traceability, early warning, and automatic deviation correction is needed to solve the above problems. Summary of the Invention

[0009] In view of this, the present invention provides an assembly building BIM module management device and its management method. The assembly building BIM module management method realizes the full-cycle tracking of components through dynamic coding, obtains on-site data by using high-precision scanning and intelligent algorithms, analyzes construction deviations and schedule risks through multi-dimensional coefficient analysis, and relies on a multi-terminal collaborative platform to achieve real-time early warning and measure linkage, and finally constructs a closed-loop intelligent control system from design modeling to on-site installation.

[0010] The object of the present invention can be achieved through the following technical solutions: An assembly building BIM module management device specifically includes: Dynamic coding module: Generate a unique ID based on the single component type, spatial coordinates, and material properties in the BIM model, and this ID is associated with multi-dimensional attribute data such as geometric dimensions, production batches, and installation priorities; Three-dimensional scanning module: Integrate a high-frame-rate laser scanning device and an adaptive point cloud processing algorithm to collect the actual size data and construction data of a single component on-site in real time; Data processing module: Used to compare the actual size data of a single component on-site with the model size data to generate a size deviation coefficient, and associate the BIM model with the construction schedule to calculate the installation conflict coefficient and schedule delay coefficient; Decision-making grading module: Used to grade the size deviation coefficient, installation conflict coefficient, and schedule delay coefficient and generate multi-level warning signals; Intelligent warning module: Used to trigger a visual alarm according to the warning signal and take relevant measures; Multi-terminal collaborative platform: Used to provide a real-time data synchronization interface for multiple devices, and the data is updated in real time and shared by everyone.

[0011] An assembly building BIM module management method specifically includes the following steps: S1. Analyze the type, spatial coordinates, and material properties of a single component in the BIM model, generate a unique ID code, and perform multi-dimensional data association of this code with the geometric dimensions, production batches, and installation priorities of the component; S2. Collect the actual size data of a single component on-site through a high-frame-rate laser scanning device, and combine an adaptive point cloud processing algorithm to eliminate environmental noise interference and generate a standardized construction data record; S3. Compare the actual size of the component with the model size to generate a deviation coefficient, and synchronously associate the construction schedule plan to calculate the installation conflict coefficient and schedule delay coefficient; S4. Grade the size deviation coefficient, installation conflict coefficient, and schedule delay coefficient and generate multi-level warning signals; S5. Synchronously push the warning signal through AR devices, mobile terminals, and on-site display screens, and automatically associate relevant measures; S6. Realize real-time data synchronization among the PC side, mobile side and edge computing devices through a distributed database, and all participating parties share the latest construction status.

[0012] Combining all the above technical solutions, the positive effects of the present invention are as follows: 1. The present invention uses a unique ID coding and a distributed database to realize real-time binding of component full-life cycle data, and combines laser scanning to update the database in real time.

[0013] 2. The present invention enables the design / construction / supervision parties to share a unified data source through multi-terminal real-time synchronization, and with the cooperation of visual push, the cross-professional communication efficiency is high.

[0014] 3. The present invention constructs a digital twin file according to multi-dimensional data association. Any design change can trace the influence scope through the unique ID, realizing full-process traceability.

[0015] 4. The present invention's multi-factor dynamic calculation and S4 intelligent grading form a three-level early warning system to identify risks in advance.

[0016] 5. The early warning signal of the present invention is automatically associated with a preset measure library, and quickly responds from problem discovery to measure activation, realizing automatic deviation correction. Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Attached Figure 1 is the system block diagram of the present invention.

[0019] Attached Figure 2 is the flowchart of the present invention. Detailed Embodiments

[0020] The following will clearly and completely describe the technical solutions of the present invention in combination with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0021] Refer to Figure 1 As shown, the present invention proposes an assembly building BIM module management device, which includes a dynamic coding module, a three-dimensional scanning module, a data processing module, a decision-making grading module, an intelligent early warning module and a multi-terminal collaboration platform.

[0022] AsFigure 2 As shown in the figure, the present invention proposes a BIM module management method for prefabricated buildings, and the specific implementation steps include the following steps: S1. Analyze the type, spatial coordinates and material properties of a single component in the BIM model, generate a unique ID code, and perform multi-dimensional data association between this code and the geometric dimensions, production batch and installation priority of the component.

[0023] It should be specifically noted that the implementation of the dynamic coding algorithm also includes using the component production timestamp and the supplier digital certificate as input items for the hash operation; Realize the distributed storage of ID modification records through lightweight blockchain nodes, and each block contains the hash value of the previous block, timestamp and operator digital signature; Set the physical anti-tampering structure of the tag, including vulnerable antenna design and epoxy resin encapsulation layer.

[0024] S2. Collect the actual size data of a single component on-site through a high-frame-rate laser scanning device, and combine it with an adaptive point cloud processing algorithm to eliminate environmental noise interference, and generate a standardized construction data record.

[0025] It should be specifically noted that the collected data specifically includes the on-site measured sizes of multiple dimensions of a single component, the design sizes of multiple dimensions of the BIM model, the minimum distance between components, the safe installation spacing required by the specification, the actual interval time between adjacent processes, the buffer time reserved in the progress plan, the resource demand within the same time, the total available resources on-site, the key dimension process capability coefficient, the benchmark process capability, the number of special process equipment for components, the number of special parts included in the component, the benchmark value of the tooling coefficient, the actual consumed construction period, the benchmark planned construction period, the number of days of delay for multiple tasks and the resource demand during the delay period.

[0026] S3. Compare the actual size of the component with the model size to generate a deviation coefficient, and synchronously associate with the construction progress plan to calculate the installation conflict coefficient and progress delay coefficient.

[0027] It should be specifically noted that the size deviation coefficient is specifically: ; Where P is the size deviation coefficient, which quantifies the comprehensive deviation degree between the on-site measured size of the building component and the theoretical size of the BIM model. Through normalization processing and root mean square integration, an objective evaluation of multi-dimensional size deviation is realized, avoiding the interference of single-dimensional errors on the overall evaluation, providing a quantitative basis for construction quality control, and the larger the value, the more serious the overall deviation.

[0028] It should be explained that D ai is the on-site measured size of the i-th dimension, the actual value after filtering and registration of the laser scanning point cloud data, reflecting the true state of the component; D miis the design dimension of the i-th dimensional BIM model, which is the theoretical value of the model and serves as the benchmark for deviation calculation; T i is the allowable tolerance threshold for the i-th dimension, which is the core of the normalization process to eliminate the influence of dimensions; n represents that a single component contains n measurement dimensions, covering the key dimensions of the component.

[0029] Specifically, the installation conflict coefficient is as follows: ; where A is the installation conflict coefficient, which quantifies the severity of multi-dimensional conflicts in construction through weighted synthesis. The larger the value, the more urgent it is.

[0030] It should be explained that K is the space interference coefficient. When K < 0, an actual collision occurs. The space interference weight ω1 controls the decision-making priority of physical collisions, and its value range is between 0.3 - 0.4, which is determined according to the precision of the project.

[0031] S is the timing conflict coefficient. When S > 1, it means that the buffer is exhausted. The timing conflict weight ω2 strengthens the attention to delays in the critical path, and its value range is between 0.2 - 0.3, which is determined according to the urgency of the project.

[0032] Z is the resource competition coefficient. When Z > 0, it means that there is a shortage of resources. The resource competition weight ω3 reflects the destructiveness of shortages such as tower cranes / manpower, and its value range is between 0.3 - 0.4, which is determined according to the mechanical dependence of the project.

[0033] G is the process compatibility coefficient. When G < 0.6, process changes are required. The process compatibility weight ω4 ensures the feasibility of implementing special processes, and its value range is between 0.1 - 0.3, which is determined according to the degree of component irregularity.

[0034] The specific space interference coefficient is as follows: ; where K is the space interference coefficient, which is the core index for quantifying the physical collision risk between components during construction, and its value directly reflects the degree to which the safety margin is breached.

[0035] It should be explained that D min is the minimum distance measured between the actual components, which is the minimum spatial distance actually measured between adjacent components at the construction site, capturing construction errors and reflecting dynamic changes; Ds is the safe installation spacing required by the specification, which is the minimum safe installation distance required by the technical specification to ensure construction safety and reserve operating space.

[0036] The specific timing conflict coefficient is as follows: ; Where S is the time sequence conflict coefficient, which quantifies the impact degree of the actual time deviation of the process connection in the construction process on the overall progress, and warns of the resource conflict or project duration delay risk caused by the process disconnection.

[0037] It should be noted that X a is the actual interval time between adjacent processes, that is, the actual interval duration between adjacent processes. For example, the measured interval from the completion of steel structure hoisting to the start of concrete pouring reflects the actual efficiency of process execution and captures the delays caused by human / machine factors. X p is the reserved time in the progress plan, that is, the preset process connection time in the progress plan, which provides a reference benchmark to measure the deviation degree between the actual progress and the plan. X h is the buffer time, that is, the flexible time reserved to cope with uncertainties. For example, the reserved period for equipment failure and the redundant time for material transportation normalize the deviation amount to avoid the interference of the absolute duration of different processes on the evaluation comparability. Generally, for high-risk processes, 20%-30% of the planned project duration is taken, and for low-risk processes, 10%-15% of the planned project duration is taken.

[0038] The specific resource competition coefficient is as follows: ; Where Z is the resource competition coefficient, which is an index quantifying the degree of imbalance between supply and demand of shared resources such as mechanical equipment and labor in the construction process. Z = 0 indicates that the resource demand ≤ available resources, without competition conflict. Z > 0 reflects the shortage ratio of resources, and the larger the value, the more serious the conflict.

[0039] It should be noted that R x is the resource demand within the same time, such as the usage duration of tower cranes and the number of concrete pump truck shifts applied by multiple teams simultaneously; R k is the total amount of available resources on site, considering actual constraints such as equipment failure rate and labor attendance rate; max(0, R) is a non-negative value function, and the gap is calculated only when the demand is greater than the available resources to avoid the interference of negative values.

[0040] The specific process compatibility coefficient is as follows: ; Where G is the process compatibility coefficient, which is considered through the component interface matching degree and the material thermal deformation difference. The closer it is to 1, the better the process compatibility.

[0041] It should be noted that C p is the key dimension process capability coefficient, which is derived from production quality data; C p0 is the reference process capability, which is the industry standard or design requirement. C p / C p0 > 1 ensures that the dimensional processing accuracy meets the requirements. C is the quantity of special process equipment for components, obtained from the tooling list in the BIM model; N is the number of special parts included in the component; F is the reference value of the tooling coefficient, from the enterprise process specification, set according to the project type; β is the tooling weight index, from the process risk assessment, strengthening the impact of tooling shortage, with a value range between 0.5 - 0.8, depending on whether it is a general component or a precision component; (C / NF) β > 1 reflects the adequacy of the coverage of special tooling.

[0042] Specifically, the schedule delay coefficient is as follows: ; Among them, J is the schedule delay coefficient, quantifying the superposition effect of time deviation, critical path impact, and resource shortage on the project schedule.

[0043] It should be explained that T is the time deviation rate, representing the relative deviation between the actual construction period and the planned construction period, reflecting the overall schedule delay degree; υ is the critical path weight, representing the impact weight of the delayed task in the critical path; γ is the resource fluctuation coefficient, representing the amplification effect of resource shortage on the delay.

[0044] Specifically, the time deviation rate is as follows: ; Among them, T is the time deviation rate, quantifying the degree of schedule lag. T > 0 indicates delay, and T < 0 indicates ahead of schedule.

[0045] It should be explained that T a is the actual consumed construction period, based on the construction log, the real operation time recorded by the Internet of Things devices, reflecting the execution efficiency; T p is the baseline planned construction period, from the project schedule, serving as the baseline target for schedule control.

[0046] It should be noted that in case of force majeure such as heavy rain weather that prevents construction and leads to a falsely high time deviation rate, the ineffective construction period affected by the weather needs to be deducted, and a meteorological certificate is required to avoid distortion.

[0047] Specifically, the critical path weight is as follows: ; Among them, υ is the critical path weight. The closer the value is to 1, the more concentrated the delay is in the critical path, and the greater the threat to the total construction period.

[0048] It should be explained that △t j is the delay days of the j-th task, focusing on the specific delayed task; υ j is the task weight, reflecting the impact intensity of the task on the total construction period through the weight. The task weight υ of the critical path jThe value range of is 1 - 1.1, and the weight υ of non-critical tasks j The value range of is 0.3 - 0.5.

[0049] Specifically, the resource fluctuation coefficient is: ; where γ is the resource fluctuation coefficient. When the value > 1, it means that the resource shortage will further deteriorate the delay; R q is the resource demand during the delay period, reflecting the additional resource intensity required to remedy the delay.

[0050] It should be explained that R k is the total amount of on-site available resources, reflecting the replenishment ability of the current resource reserve; α is the resource sensitivity coefficient, quantifying the sensitivity of the resource type to the delay. The value range of α for machinery-dependent projects is 0.5 - 0.6, and the value range of α for labor-intensive projects is 0.3 - 0.4. It should be noted that in case of sudden resource interruption, such as supplier default, the weight α needs to be adjusted downward.

[0051] S4. When it is judged that the deviation coefficient, installation conflict coefficient, and schedule delay coefficient exceed the threshold, classify the coefficients and generate multi-level warning signals.

[0052] Specifically, for classifying the dimension deviation coefficient and generating the classified warning signal, it is specifically as follows: When P > x1, it is a serious deviation, and a red warning is initiated; When x2 ≤ P < x1, it is a moderate deviation, and an orange warning is initiated; When P < x2, it is a minor deviation, and a yellow warning is initiated; where the value range of x1 is 1.5 - 1.6, and the value range of x2 is 0.8 - 0.9.

[0053] Specifically, for classifying the installation conflict coefficient and generating the classified warning signal, it is specifically as follows: When A > y1, it is a serious conflict, and a red emergency warning is initiated; When y2 < A ≤ y1, it is a minor conflict, and a yellow warning is initiated; When A ≤ y2, it is in a safe state; where the value range of y1 is 0.8 - 0.9, and the value range of y2 is 0.4 - 0.5.

[0054] Specifically, for classifying the schedule delay coefficient and generating the classified warning signal, it is specifically as follows: When J > z1, it is a serious delay, and a red warning is initiated; When z2 < J ≤ z1, it is a moderate delay, and an orange warning is initiated; When J < z2, it is a minor delay and a blue warning is activated; The value range of z1 is 0.3-0.4, and the value range of z2 is 0.1-0.2.

[0055] It should be noted that once the completion acceptance node is delayed, a red alert will be directly triggered.

[0056] S5. Early warning signals are pushed synchronously through AR devices, mobile terminals and on-site display screens, and relevant measures are automatically associated.

[0057] It should be noted that upon receiving the dimensional deviation graded warning signal, the system automatically pushes graded alarms to three types of terminals: The AR device uses yellow / orange / red light effects to indicate the deviation location and superimposes a three-dimensional deviation vector arrow to indicate the correction direction. Mobile terminal: Automatically link to the responsible person's schedule system and push rectification work orders containing deviation data, including component code, deviation value, and standard value; The on-site display screen rotates the BIM model comparison chart of out-of-tolerance components, marking the location of the maximum deviation point and the allowable tolerance range.

[0058] If a red alert is received, work and isolation will be immediately stopped, the installation of related components will be stopped, and out-of-tolerance components will be physically isolated and marked to prevent misuse; a root cause investigation will be initiated, using the fishbone diagram method to analyze potential causes such as production mold errors, transportation deformation, or scanning data distortion; forced rework / scrap will be implemented. If the deviation affects structural safety, the scrapping procedure will be initiated and the supplier's responsibility will be traced; the model and plan will be updated, and the component ID will be frozen in the BIM platform, and the construction schedule and lifting plan will be updated simultaneously.

[0059] If an orange alert is received, corrective measures must be taken within a limited time, and repairs or adjustments to the installation position must be completed within 72 hours. Process parameter calibration must be performed, and the mold size and curing temperature at the production end must be checked and recorded in the supplier's quality file. Installation plan optimization must be performed, and the spacing between adjacent components must be adjusted through BIM collision detection to reserve compensation gaps. Process monitoring must be strengthened, and all components in the batch must be scanned, increasing the scanning frequency.

[0060] If a yellow warning is received, dynamic tolerance compensation will be implemented to absorb the deviation by adjusting the bolt position and gasket thickness during subsequent installation; record traceability management will enter the deviation data into the blockchain evidence storage system as a basis for supplier performance evaluation; and preventive process optimization will add online laser inspection stations to the production process for dimensions with repeated deviations.

[0061] It should be noted that upon receiving the installation conflict graded warning signal, the system automatically pushes graded alarms to three types of terminals: AR glasses project a 3D heat map of the conflict area and safety boundary lines, automatically overlaying the BIM model's collision point cloud, guiding obstacle avoidance path planning, generating green AR navigation arrows to dynamically avoid high-risk areas, and allowing remote experts to circle and modify points in the AR field of view. Scan the device QR code to automatically link to the maintenance manual, AR overlay disassembly and assembly guidance animation, and spare parts inventory will display warehouse location and inventory quantity AR tags in real time.

[0062] Mobile terminals push handling flowcharts and contact lists of responsible persons, issue strong reminder notifications and voice broadcasts for red emergency alerts, activate the city-level emergency material reserve with one click, and automatically upload handling images every 15 minutes; Vibration prompts and text lists are pushed for yellow warning alerts, maps of idle equipment in surrounding projects are shared, and key nodes are manually photographed for evidence.

[0063] The on-site display screen displays a dynamic sandbox showing the impact range of the conflict, including resource scheduling paths, and a red alert window with a mandatory pop-up window covering the current operation interface; Superimpose drone aerial photography and IoT sensor data streams, and use particle effects to show the spread trend of the shutdown scope; display the location of emergency teams in real time and generate the optimal material distribution route; automatically generate timeline comparisons, and the key indicator dashboard displays the resource availability rate / hazard elimination rate.

[0064] In response to spatial conflicts, when a red emergency alert is received, construction will be stopped immediately, 3D laser scanning will be initiated to re-survey the conflict area, a BIM collision analysis report will be generated within 48 hours, the emergency design change process will be activated, and a physical isolation area will be set up. When a yellow warning alert is received, dynamic monitoring and millimeter-wave radar will be installed to monitor spacing changes in real time, optimize the process, adjust the construction sequence, and reserve a buffer margin.

[0065] In response to time conflicts, when a red emergency alert is received, the backup team on the critical path will be activated, key equipment will be operated in 24-hour shifts, and non-critical paths will freeze non-emergency processes to release resources; when a yellow warning alert is received, the critical path will compress the process intervals, adopt the parallel construction method, and non-critical paths will apply to extend the single-shift operation time.

[0066] In response to resource competition conflicts, Red Alert activated a strategic cooperation leasing agreement, deployed across projects, and signed an "emergency technician pool" agreement; Yellow Alert established a shared scheduling platform, provided intensive skills training, and carried out VR simulation training for vacant positions.

[0067] In response to process compatibility conflicts, the red warning total station is re-laid out, connectors are customized, and the backup material library is activated; the yellow warning adds an adjustment device and adjusts the surface treatment process.

[0068] Specifically, after receiving the early warning signal of progress delay classification, the BIM management platform automatically generates early warning event tags, including: early warning level, delay location coordinates, associated equipment / process ID, and risk probability value, and pushes them synchronously to multiple terminals. Specifically: The AR glasses perform visual field superposition of a three-dimensional warning frame and arrow navigation. The red flashing frame marks the delay area, and the virtual arrow guides the emergency disposal path; The mobile terminal pops up a structured early warning card. The early warning level icon is displayed at the top of the card, the list of disposal measures is scrolled and played in the middle, and an emergency call button is included at the bottom; The on-site display screen shows a three-dimensional situation map. The heat map of the entire construction site shows the scope of delay impact. The critical path flashes in red, and the resource gap is dynamically marked.

[0069] Specifically, if a red early warning signal is received, spare resources are urgently mobilized, such as transferring manpower from non-critical paths to critical processes, activating the spare supplier agreement, and replenishing shortage equipment / materials within 48 hours; Adopt fast-tracking, change serial tasks to parallel tasks, such as purchasing long-cycle materials in advance when the design is not completed, increasing the shift by 2 times or outsourcing some tasks for critical paths.

[0070] If an orange early warning signal is received, compress the non-critical path, release resources to supplement critical tasks, such as simplifying the document approval process, adjusting the process logic, splitting large tasks into sub-tasks for cross-construction, such as sectional flow operation of civil engineering and installation; Enable the flexible resource pool, reserve flexible manpower / equipment, and sign a stepped delivery agreement with the supplier, such as supplying goods in three batches to shorten the waiting period.

[0071] If a blue early warning signal is received, perform time slicing management, refine the daily plan to the hourly level, adjust immediately when the deviation exceeds the time limit, buffer resource allocation, and borrow resources from tasks with large total float time; Through daily collision detection of the BIM model, reduce rework, and implement the AB angle system for key positions, such as the substitute immediately taking over when the main designer is absent.

[0072] Specifically, after associating relevant measures, stare at the measure item on the AR side for 3 seconds, and automatically generate an electronic task order to assign the responsible person; Scan the QR code of the equipment on the mobile side to view the assembly animation guide in real time; Drag the resource icon to the delay area on the large screen side, and automatically trigger the work order system to allocate resources.

[0073] It should be noted that during emergency handling, traces need to be kept. All operations are automatically recorded in the blockchain log, specifically including the first-person video recording by the AR glasses, the timestamp of the measures selected on the mobile device, and the playback of the command track on the large screen, which supports tracing and determining responsibilities after the event, and the data cannot be tampered with.

[0074] S6. Realize real-time data synchronization among the PC, mobile device, and edge computing device through a distributed database, and all participating parties share the latest construction status.

[0075] Specifically, a sharded cluster is used as the main database, and 3 replica sets are configured and deployed on the cloud, edge server, and on-site industrial control computer respectively; a read-write separation strategy is set for each shard, and write operations are preferentially routed to the edge node to reduce latency.

[0076] Strictly execute the data synchronization mechanism. Listen for BIM model change events through logs, and use protocols to push incremental data to subscribed terminals to capture changed data; based on the eventual consistency model with timestamps, algorithmic strong consistency synchronization is enabled for critical path data to resolve conflicts.

[0077] It should be noted that in order to ensure data synchronization, a monitoring cluster is deployed to track the synchronization latency of each node in real time, and automatically switch to the direct connection mode with the cloud when the edge node has latency; The transmission layer uses an encrypted channel, with field-level permission control and non-tamperability; Perform incremental snapshot backups to the network every hour, and preferentially synchronize critical path component data after network disconnection and recovery.

[0078] Through the description of the above implementation methods, those skilled in the art can clearly understand that the various implementation methods of this application can be realized by means of software or software combined with necessary general hardware platforms, and of course, they can also be realized through hardware functions; based on such an understanding, the technical solution of this application, in essence, or the part that makes contributions to the prior art, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to enable a computer device, such as including but not limited to a personal computer, a server, or a network device, etc., to execute all or part of the steps of the method described in any implementation method of this application.

[0079] The above describes exemplary embodiments of this application. It should be understood that the above exemplary embodiments are not restrictive but illustrative, and the protection scope of this application is not limited thereto; it should be understood that those skilled in the art can modify and vary the embodiments of this application without departing from the spirit and scope of this application, and these modifications and variations should reasonably fall within the protection scope of this application.

Claims

1. An assembled building BIM module management device, characterized in that, Specifically include: Dynamic coding module: Generate a unique ID based on the single component type, spatial coordinates, and material properties in the BIM model, and this ID is associated with multi-dimensional attribute data such as geometric dimensions, production batches, and installation priorities; 3D scanning module: Integrate a high-frame-rate laser scanning device and an adaptive point cloud processing algorithm to collect the actual dimension data and construction data of a single component on-site in real time; Data processing module: Used to compare the actual dimension data of a single component on-site with the model dimension data to generate a dimension deviation coefficient, and associate the BIM model with the construction progress to calculate the installation conflict coefficient and the schedule delay coefficient; Decision-making grading module: Used to grade the dimension deviation coefficient, installation conflict coefficient, and schedule delay coefficient and generate multi-level warning signals; Intelligent warning module: Used to trigger a visual alarm according to the warning signal and take relevant measures; Multi-terminal collaborative platform: Used to provide a real-time data synchronization interface for multiple devices, and the data is updated in real time and shared by everyone.

2. The prefabricated building BIM module management device according to claim 1, characterized in that: The specific dimension deviation coefficient is: ； where P is the dimensional deviation coefficient, D ai is the on-site measured dimension of the i-th dimension, D mi is the BIM model design dimension of the i-th dimension, T i is the allowable tolerance threshold of the i-th dimension, and n is the number of measurement dimensions included in a single component; The specific installation conflict coefficient is: ； Among them, A is the installation conflict coefficient, K is the spatial interference coefficient, S is the timing conflict coefficient, Z is the resource competition coefficient, G is the process compatibility coefficient, and ω i is the weight of each dimension; The specific schedule delay coefficient is: ； Where J is the schedule delay coefficient, T is the time deviation rate, υ is the critical path weight, and γ is the resource fluctuation coefficient.

3. The prefabricated building BIM module management device according to claim 2, characterized in that: The specific space interference coefficient is: ； where K is the spatial interference coefficient, D min is the minimum distance between the measured components, D s is the safe installation distance required by the specification; The specific time sequence conflict coefficient is: ； Where Let S be the timing conflict coefficient, T a be the actual interval time between adjacent processes, T p be the reserved time in the schedule, T h be the buffer time; The specific resource competition coefficient is: ； where Z is the resource competition coefficient, and R x is the resource demand within the same time period, and R k is the total amount of on-site available resources; The specific process compatibility coefficient is: ； where G is the process compatibility coefficient, C p is the process capability coefficient of the critical dimension, C p0 is the reference process capability, C is the number of special process equipment for components, N is the number of special parts included in the component, and F is the reference value of the tooling coefficient.

4. The prefabricated building BIM module management device according to claim 2, wherein: The specific time deviation rate is: ； Among them, T a is the actual consumed construction period, and T p is the baseline planned construction period; The specific critical path weight is: ； where △t j is the delay days of the j-th task, and υ j is the task weight; The specific resource fluctuation coefficient is: ； where R q is the resource demand during the delay period, R is the total amount of on-site available resources, and α is the resource sensitivity coefficient.

5. The prefabricated building BIM module management device according to claim 1, characterized in that: The grading of the dimension deviation coefficient and the generation of a graded warning signal are specifically: When P > x1, it is a serious deviation, and a red warning is initiated; when x2 ≤ P < x1, it is a moderate deviation, and an orange warning is initiated; when x3 ≤ P < x2, it is a minor deviation, and a yellow warning is initiated; The grading of the installation conflict coefficient and the generation of a graded warning signal are specifically: When A > y1, it is a serious conflict, and a red emergency warning is initiated; when y2 < A ≤ y1, it is a minor conflict, and a yellow warning is initiated; when A ≤ y2, it is a safe state; The grading of the schedule delay coefficient and the generation of a graded warning signal are specifically: When J > z1, it is a serious delay, and a red warning is initiated; when z2 < J ≤ z1, it is a moderate delay, and an orange warning is initiated; When J < z2, it is a minor delay, and a blue warning is initiated.

6. An assembly building BIM module management method, characterized in that, Specifically include the following steps: S1. Analyze the type, spatial coordinates, and material properties of a single component in the BIM model, generate a unique ID code, and associate this code with the geometric dimensions, production batches, and installation priorities of the component for multi-dimensional data; S2. Collect the actual dimension data of a single component on-site through a high-frame-rate laser scanning device, and combine it with an adaptive point cloud processing algorithm to eliminate environmental noise interference and generate a standardized construction data record; S3. Compare the actual dimensions of the component with the model dimensions to generate a deviation coefficient, and synchronously associate the construction progress plan to calculate the installation conflict coefficient and the schedule delay coefficient; S4. Grade the dimension deviation coefficient, installation conflict coefficient, and schedule delay coefficient and generate multi-level warning signals; S5. Synchronously push the warning signal through AR devices, mobile terminals, and on-site display screens, and automatically associate relevant measures; S6. Realize real-time data synchronization among the PC side, the mobile side and the edge computing device through a distributed database, and all participants share the latest construction status.

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