A BIM module management device and management method for assembled buildings

Abstract

The present invention belongs to the technical field of construction, specifically a BIM module management device for prefabricated buildings and a management method thereof, comprising 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 collaborative platform; the present invention adopts a unique ID coding and a distributed database to realize real-time binding of component data throughout its entire life cycle, and combines laser scanning to update the database in real time; through real-time synchronization of multiple terminals, the design / construction / supervision parties share a unified data source, and with the help of visual push, cross-professional communication is efficient; a digital twin archive is constructed based on the association of multi-dimensional data, and any design change is traced back to its impact range through a unique ID, thereby realizing full-process traceability; multi-coefficient dynamic calculation and S4 intelligent grading form a three-level early warning system to identify risks in advance; early warning signals are automatically associated with a preset measure library, and a rapid response is achieved from problem discovery to the initiation of measures, thereby realizing automatic error correction.

Description

Technical Field

[0001] The present invention belongs to the field of construction, and in particular relates to BIM module management. Specifically disclosed are a BIM module management device and a management method for assembled buildings. Background Art

[0002] The use of BIM devices can achieve real-time linkage of data throughout the entire life cycle of the project, and greatly improve construction accuracy, efficiency and risk control capabilities through digital modeling, intelligent monitoring and collaborative management.

[0003] Existing BIM module management is primarily implemented through a centralized data platform, using the IFC standard format to store component attribute information. This relies on manual periodic scanning and comparison of models with on-site progress, with coordination of issues conducted via email and meetings. The typical process includes static modeling during the design phase, manual verification before construction, regular comparison of progress photos, recording of deviations using Excel spreadsheets, and ultimately generating an offline acceptance report. This management model suffers from pain points such as data lag, low efficiency in cross-disciplinary collaboration, and difficulty in tracing changes. Furthermore, it lacks a real-time early warning mechanism and automated error correction capabilities. Specifically,

[0004] Data lag: Manual field data collection is performed regularly. There is usually a time lag between data collection and data entry into the system, which causes the basis for decision-making to be out of touch with the actual situation and cannot support dynamic construction adjustments.

[0005] Low efficiency in cross-disciplinary collaboration: Each participant uses an independent software platform. Data exchange in design, construction, supervision and other links must be achieved through file export and import, and project time is consumed by data verification and cross-departmental communication.

[0006] Difficulty in tracing changes: Design change records are scattered across emails, meeting minutes, and local backup files, lacking unified version management. This makes it difficult to quickly identify the responsible link when quality issues arise later.

[0007] Lack of real-time early warning mechanism: Construction deviations are mainly discovered through manual inspections, resulting in delayed problem identification and inability to proactively intervene in potential risks.

[0008] Insufficient automated error correction capabilities: Deviation handling requires manual solution development, which takes a long time from problem discovery to implementation, and the correction effect depends on personal experience.

[0009] Therefore, a method with real-time data updates, high collaborative efficiency, full-process traceability, early warning and automatic correction is needed to solve the above problems. Summary of the Invention

[0010] In view of this, the present invention proposes a BIM module management device and a management method for prefabricated buildings. The BIM module management method for prefabricated buildings realizes full-cycle tracking of components through dynamic coding, acquires on-site data using high-precision scanning and intelligent algorithms, analyzes construction deviations and progress risks through multi-dimensional coefficients, and realizes real-time early warning and measure linkage based on a multi-terminal collaborative platform, ultimately constructing a closed-loop intelligent management and control system from design modeling to on-site installation.

[0011] The purpose of the present invention can be achieved through the following technical solutions: A BIM module management device for assembled buildings, specifically comprising:

[0012] Dynamic coding module: Generates a unique ID based on the single component type, spatial coordinates and material properties in the BIM model. This ID is associated with multi-dimensional attribute data such as geometric dimensions, production batch and installation priority.

[0013] 3D scanning module: Integrates high-frame-rate laser scanning equipment and adaptive point cloud processing algorithms to collect the actual size data and construction data of single components on site in real time;

[0014] Data processing module: used to compare the actual size data of a single component on site with the model size data to generate the size deviation coefficient, and to associate the BIM model with the construction schedule to calculate the installation conflict coefficient and schedule delay coefficient;

[0015] Decision-making classification module: used to classify the dimensional deviation coefficient, installation conflict coefficient and schedule delay coefficient and generate multi-level early warning signals;

[0016] Intelligent early warning module: used to trigger visual alarms and take relevant measures based on early warning signals;

[0017] Multi-terminal collaboration platform: used to provide a real-time data synchronization interface for multiple devices, with data updated in real time and shared by everyone.

[0018] A method for managing BIM modules of prefabricated buildings, comprising the following steps:

[0019] 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 the code and the component's geometric dimensions, production batch, and installation priority;

[0020] S2. Use high-frame-rate laser scanning equipment to collect the actual dimensional data of a single component on site, combine it with an adaptive point cloud processing algorithm to eliminate environmental noise interference, and generate standardized construction data records;

[0021] S3. Compare the actual dimensions of the components with the model dimensions to generate deviation coefficients, and simultaneously calculate the installation conflict coefficient and schedule delay coefficient based on the construction schedule;

[0022] S4. Classify the dimensional deviation coefficient, installation conflict coefficient and schedule delay coefficient and generate multi-level warning signals;

[0023] S5. Synchronously push warning signals through AR devices, mobile terminals, and on-site display screens, and automatically associate relevant measures;

[0024] S6. Real-time data synchronization between PC, mobile and edge computing devices is achieved through a distributed database, and all participants share the latest construction status.

[0025] Combining all the above technical solutions, the present invention has the following positive effects:

[0026] 1. The present invention uses unique ID coding and distributed database to achieve real-time binding of component data throughout its life cycle, and combines laser scanning to update the database in real time.

[0027] 2. The present invention enables design / construction / supervision parties to share a unified data source through real-time synchronization of multiple terminals, and with the help of visual push, cross-disciplinary communication is highly efficient.

[0028] 3. The present invention constructs a digital twin archive based on multi-dimensional data association. Any design change can trace the impact scope through a unique ID, realizing full process traceability.

[0029] 4. The multi-coefficient dynamic calculation of the present invention and S4 intelligent grading form a three-level early warning system to identify risks in advance.

[0030] 5. The early warning signal of the present invention is automatically associated with the preset measure library, which can quickly respond from problem discovery to initiation of measures and realize automatic correction. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0032] Attachment Figure 1 This is a system block diagram of the present invention.

[0033] Attachment Figure 2 Flowchart of the present invention. DETAILED DESCRIPTION

[0034] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0035] See also Figure 1 As shown, the present invention proposes a BIM module management device for prefabricated buildings, which includes a dynamic encoding module, a three-dimensional scanning module, a data processing module, a decision-making classification module, an intelligent early warning module and a multi-terminal collaborative platform.

[0036] like Figure 2 As shown, the present invention proposes a method for managing BIM modules of prefabricated buildings, and the specific implementation steps include the following steps:

[0037] 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 the code and the component's geometric dimensions, production batch, and installation priority.

[0038] It should be specified that the algorithm implementation of dynamic encoding also includes using the component production timestamp and the supplier digital certificate as hash operation input items;

[0039] The distributed storage of ID modification records is achieved through lightweight blockchain nodes. Each block contains the hash value of the previous block, timestamp and operator digital signature.

[0040] Set up the physical anti-tamper structure of the tag, including the fragile antenna design and epoxy resin encapsulation layer.

[0041] S2. Use high-frame-rate laser scanning equipment to collect the actual size data of a single component on site, combine it with an adaptive point cloud processing algorithm to eliminate environmental noise interference, and generate standardized construction data records.

[0042] It should be specified that the collected data include single and multiple dimensional on-site measured dimensions, multiple dimensional BIM model design dimensions, the minimum distance between components, the safe installation spacing required by the specifications, the actual interval time between adjacent processes, the buffer time reserved in the schedule plan, the resource demand at the same time, the total amount of resources available on site, the process capability coefficient of key dimensions, the benchmark process capability, the number of component-specific process equipment, the number of special parts contained 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.

[0043] S3. Compare the actual size of the component with the model size to generate the deviation coefficient, and simultaneously associate it with the construction schedule to calculate the installation conflict coefficient and schedule delay coefficient.

[0044] It should be noted that the dimensional deviation coefficient is specifically:

[0045] ;

[0046] Among them, P is the dimensional deviation coefficient, which quantifies the comprehensive deviation between the actual measured dimensions of building components on site and the theoretical dimensions of the BIM model. Through normalization processing and root mean square integration, it can achieve objective evaluation of multi-dimensional dimensional deviations, avoid the interference of single-dimensional errors on the overall evaluation, and provide a quantitative basis for construction quality control. The larger the value, the more serious the overall deviation.

[0047] It needs to be explained that D ai is the actual measured size of the i-th dimension, the actual value of the laser scanning point cloud data after filtering and registration, reflecting the real state of the component; D mi Design the size of the i-th dimension BIM model, the theoretical value of the model, as the basis for deviation calculation; T i is the tolerance threshold of the i-th dimension, which is the core of normalization processing and eliminates the dimension effect; n is the n measurement dimensions of a single component, covering the key dimensions of the component.

[0048] It should be noted that the installation conflict coefficient is specifically:

[0049] ;

[0050] A is the installation conflict coefficient, which quantifies the severity of multi-dimensional conflicts during construction through weighted synthesis. A larger value indicates greater urgency.

[0051] It should be explained that K is the spatial interference coefficient. When it is less than 0, an actual collision occurs. The spatial interference weight ω1 controls the decision priority of the physical collision. Its value range is between 0.3 and 0.4, which is determined according to the precision of the project.

[0052] S is the timing conflict coefficient, ‌>1‌ indicates buffer exhaustion. The timing conflict weight ω2 strengthens the focus on critical path delays and ranges from 0.2 to 0.3, determined according to the intensity of the project.

[0053] Z is the resource competition coefficient, ‌>0‌ indicates resource shortage. The resource competition weight ω3 reflects the destructiveness of shortages of cranes / manpower, etc., and its value range is between 0.3-0.4, determined according to the mechanical dependence of the project.

[0054] G is the process compatibility coefficient. If it is less than 0.6, a process change is required. The process compatibility weight ω4 ensures the feasibility of implementing special processes. The value range is between 0.1 and 0.3 and is determined according to the degree of component specialization.

[0055] The spatial interference coefficient is specifically:

[0056] ;

[0057] K is the spatial interference coefficient, a core indicator that quantifies the risk of physical collision between components during construction. Its value directly reflects the extent to which the safety margin has been breached.

[0058] It needs to be explained that D min It is the minimum distance between components measured, the minimum spatial distance actually measured between adjacent components at the construction site, which captures construction errors and reflects dynamic changes. Ds is the safe installation spacing required by the specifications, the minimum safe installation distance mandatory by technical specifications, which ensures construction safety and reserves operating space.

[0059] The timing conflict coefficient is specifically:

[0060] ;

[0061] Where S is the timing conflict coefficient, which quantifies the impact of the actual time deviation of process connection during the construction process on the overall progress, and warns of the risk of resource conflict or construction delay caused by process disconnection.

[0062] It needs to be explained that X a The actual interval between adjacent processes, such as the measured interval between the completion of steel structure hoisting and the start of concrete pouring, reflects the true efficiency of process execution and captures delays caused by human and mechanical factors.

[0063] X p Reserve time for the schedule. The preset process connection time in the schedule provides a benchmark reference to measure the degree of deviation between the actual progress and the plan.

[0064] X h As buffer time, flexible time is reserved to deal with uncertainties, such as the reserved period for equipment failure and redundant time for material transportation. The deviation amount is normalized to avoid the absolute duration of different processes interfering with the comparability of the evaluation. Generally, high-risk processes take 20%-30% of the planned construction period, and low-risk processes take 10%-15% of the planned construction period.

[0065] The resource competition coefficient is specifically:

[0066] ;

[0067] Where Z is the resource competition coefficient, which quantifies the degree of imbalance between supply and demand of shared resources such as machinery and equipment and labor during the construction process. Z = 0 means that resource demand ≤ available resources, and there is no competition conflict. Z > 0 reflects the proportion of resource shortage. The larger the value, the more serious the conflict.

[0068] It needs to be explained that Rx The resource demand at the same time, such as the tower crane usage time and the number of concrete pump truck shifts requested by multiple teams at the same time; R k is the total amount of available resources on site, taking into account practical constraints such as equipment failure rate and manpower attendance rate; max(0, R) is a non-negative function that calculates the gap only when demand exceeds availability to avoid negative value interference.

[0069] The process compatibility coefficient is specifically:

[0070] ;

[0071] Where G is the process compatibility coefficient, which is based on the component interface matching and material thermal deformation differences. The closer it is to 1, the better the process compatibility.

[0072] It needs to be explained that C p is the critical dimension process capability coefficient, which comes from production quality data; C p0 is the benchmark process capability, industry standard or design requirement, C p / C p0 >1 Ensure that the dimensional processing accuracy meets the requirements;

[0073] C is the number of specialized process equipment for the component, derived from the tooling list of the BIM model; N is the number of specialized parts included in the component; F is the baseline tooling factor, derived from the company's process specifications and set according to the project type; β is the tooling weight index, derived from the process risk assessment, which emphasizes the impact of tooling shortages and ranges from 0.5 to 0.8, depending on whether it is a general component or a precision component; (C / NF) β >1 reflects the adequacy of coverage by special tooling.

[0074] It should be noted that the progress delay coefficient is specifically:

[0075] ;

[0076] Where J is the schedule delay coefficient, which quantifies the cumulative effect of time deviation, critical path impact and resource shortage on project progress.

[0077] It should be explained that T is the time deviation rate, which indicates the relative deviation between the actual construction period and the planned construction period, reflecting the degree of overall progress delay; υ is the critical path weight, which indicates the impact weight of the delayed task in the critical path; γ is the resource fluctuation coefficient, which indicates the amplifying effect of resource shortage on delay.

[0078] The time deviation rate is specifically:

[0079] ;

[0080] Where T is the time deviation rate, which quantifies the degree of progress lag. T>0 indicates delay, and T<0 indicates advance.

[0081] It needs to be explained that T a The actual construction period is based on the construction log and the real operation time recorded by IoT devices, which reflects the execution efficiency; p The baseline planned duration comes from the project schedule and serves as the baseline target for schedule control.

[0082] It should be noted that if force majeure occurs, such as heavy rain that prevents construction and causes an inflated time deviation rate, the invalid construction period affected by the weather must be deducted, and a meteorological certificate is required to avoid distortion.

[0083] The critical path weights are:

[0084] ;

[0085] Where υ is the critical path weight. The closer the value is to 1, the more delays are concentrated on the critical path, and the greater the threat to the total construction period.

[0086] It needs to be explained that △t j The number of days that the jth task is delayed, focusing on the specific delayed task; j The weight of the task reflects the impact of the task on the total construction period. The weight of the critical path task is υ j The value range is 1-1.1, and the weight of non-critical tasks is j The value range is 0.3-0.5.

[0087] The resource fluctuation coefficient is specifically:

[0088] ;

[0089] Where γ is the resource fluctuation coefficient. When the value is greater than 1, it means that resource shortage will further aggravate the delay. q The resource demand during the delay period reflects the additional resource intensity required to remedy the delay.

[0090] It needs to be explained that R k is the total amount of resources available on site, reflecting the replenishment capacity of current resource reserves; α is the resource sensitivity coefficient, which quantifies the sensitivity of resource types to delays. 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 if there is a sudden resource interruption, such as supplier default, the weight α should be adjusted downward.

[0091] S4. When the deviation coefficient, installation conflict coefficient and schedule delay coefficient are judged to exceed the threshold, the coefficients are graded and a multi-level warning signal is generated.

[0092] It should be noted that the dimensional deviation coefficient is graded and the graded warning signals are generated as follows:

[0093] When P>x1, it is a serious deviation and a red warning is activated;

[0094] When x2≤P<x1, it is a moderate deviation and an orange warning is activated;

[0095] When P < x2, it is a slight deviation and a yellow warning is activated;

[0096] The value range of x1 is 1.5-1.6, and the value range of x2 is 0.8-0.9.

[0097] It should be noted that the installation conflict coefficient is graded and the graded warning signals are generated as follows:

[0098] When A>y1, it is a serious conflict and a red emergency warning is activated;

[0099] When y2<A≤y1, it is a minor conflict and the yellow warning is activated;

[0100] When A≤y2, it is a safe state;

[0101] The value range of y1 is 0.8-0.9, and the value range of y2 is 0.4-0.5.

[0102] It should be noted that the progress delay coefficient is graded and the graded warning signals are generated as follows:

[0103] When J>z1, it is a serious delay and a red alert is activated;

[0104] When z2<J≤z1, it is a moderate delay and an orange warning is activated;

[0105] When J < z2, it is a minor delay and a blue warning is activated;

[0106] The value range of z1 is 0.3-0.4, and the value range of z2 is 0.1-0.2.

[0107] It should be noted that once the completion acceptance node is delayed, a red alert will be directly triggered.

[0108] S5. Early warning signals are pushed synchronously through AR devices, mobile terminals and on-site display screens, and relevant measures are automatically associated.

[0109] It should be noted that upon receiving the dimensional deviation graded warning signal, the system automatically pushes graded alarms to three types of terminals:

[0110] 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.

[0111] 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;

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] It should be noted that upon receiving the installation conflict graded warning signal, the system automatically pushes graded alarms to three types of terminals:

[0117] 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.

[0118] 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.

[0119] 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;

[0120] 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.

[0121] 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;

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] It should be noted that upon receiving a graded early warning signal for progress delays, the BIM management platform automatically generates an early warning event label containing: the warning level, delay location coordinates, associated equipment / process ID, and risk probability value, and pushes it to multiple terminals simultaneously. Specifically:

[0128] AR glasses superimpose a three-dimensional warning frame and arrow navigation on the field of view. A red flashing frame indicates the delayed area, and a virtual arrow guides the emergency response path.

[0129] A structured warning card pops up on the mobile terminal, with the warning level icon displayed at the top, a list of treatment measures scrolling in the middle, and an emergency call button at the bottom;

[0130] The on-site display screen shows a three-dimensional situation map, a heat map of the entire construction site shows the scope of delays, critical paths flash red, and resource gaps are dynamically marked.

[0131] It should be specifically noted that if a red alert signal is received, backup resources will be urgently deployed, such as transferring manpower from non-critical paths to critical processes, activating backup supplier agreements, and replenishing scarce equipment / materials within 48 hours;

[0132] Adopt fast follow-up to change serial tasks into parallel ones, such as purchasing long-cycle materials in advance when the design is not completed, increasing the number of shifts on the critical path by 2 times, or outsourcing some tasks.

[0133] If an orange warning signal is received, non-critical paths are compressed to free up resources for key tasks. This can include streamlining document approval processes, adjusting process logic, and splitting large tasks into subtasks for cross-cutting implementation, such as separating civil engineering and installation into streamlined sections.

[0134] Enable flexible resource pools, reserve flexible manpower / equipment, and sign tiered delivery agreements with suppliers, such as delivering in three batches to shorten waiting periods.

[0135] If a blue warning signal is received, time slicing management is implemented, breaking down the daily plan into hourly steps. Adjustments are made if deviations exceed the time limit, and buffer resource allocation is implemented, borrowing resources from tasks with large total float times.

[0136] Through daily collision detection of BIM models, rework is reduced, and the AB corner system is implemented in key positions. If the main designer is absent, a substitute will immediately take over.

[0137] What needs to be explained in detail is that after associating the relevant measures, the AR end stares at the measure item for 3 seconds to confirm it, and an electronic task sheet is automatically generated and assigned to the responsible person;

[0138] Scan the QR code of the associated device on your mobile device to view the assembly animation instructions in real time;

[0139] Drag the resource icon to the delayed area on the large screen to automatically trigger the work order system to allocate resources.

[0140] It should be noted that emergency response needs to leave traces, and all operations are automatically recorded in the blockchain log, including first-person perspective recording of AR glasses, timestamps of mobile measures and playback of command trajectories on the large screen, supporting post-event traceability and accountability, and the data cannot be tampered with.

[0141] S6. Real-time data synchronization between PC, mobile and edge computing devices is achieved through a distributed database, and all participants share the latest construction status.

[0142] It should be noted that a sharded cluster is used as the primary database, and three replica sets are deployed in the cloud, edge server, and on-site industrial computer respectively; a read-write separation strategy is set for each shard, and write operations are preferentially routed to edge nodes to reduce latency.

[0143] Strictly implement the data synchronization mechanism, monitor BIM model change events through logs, and use protocols to push incremental data to subscribing terminals to capture change data; based on the eventual consistency model of timestamps, the key path data uses algorithmic strong consistency synchronization to resolve conflicts.

[0144] It should be noted that in order to ensure data synchronization, a monitoring cluster is deployed to track the synchronization delay of each node in real time. When the edge node is delayed, it automatically switches to the cloud direct connection mode;

[0145] The transport layer uses an encrypted channel, field-level permission control, and cannot be tampered with;

[0146] Perform incremental snapshot backups to the network every hour, and prioritize synchronizing critical path component data after network recovery.

[0147] Through the description of the above embodiments, those skilled in the art can clearly understand that the various embodiments of the present application can be implemented by means of software or software combined with a necessary general hardware platform, and of course can also be implemented by hardware functions; based on such understanding, the technical solution of the present application can essentially be embodied in the form of a software product or the part that contributes to the prior art. The software product is stored in a storage medium and includes a number of instructions for enabling a computer device, such as but not limited to a personal computer, a server, or a network device, to execute all or part of the steps of the method described in any embodiment of the present application.

[0148] The above describes exemplary embodiments of the present application. It should be understood that the above exemplary embodiments are not restrictive but illustrative, and the scope of protection of the present application is not limited thereto. It should be understood that those skilled in the art can modify and vary the embodiments of the present application without departing from the spirit and scope of the present application, and these modifications and variations should be within the scope of protection of the present application.

Claims

1. A BIM module management device for prefabricated buildings, characterized in that: Specifically include: Dynamic coding module: Generates a unique ID based on the single component type, spatial coordinates and material properties in the BIM model. This ID is associated with multi-dimensional attribute data such as geometric dimensions, production batch and installation priority. 3D scanning module: Integrates high-frame-rate laser scanning equipment and adaptive point cloud processing algorithms to collect the actual size data and construction data of single components 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 the size deviation coefficient, and to associate the BIM model with the construction schedule to calculate the installation conflict coefficient and schedule delay coefficient; The dimensional deviation coefficient is specifically: ； Where P is the dimensional deviation coefficient, D ai is the actual measured size of the i-th dimension, D mi Design the size of the i-th dimension BIM model, T i is the tolerance threshold allowed for the i-th dimension, and n is the number of measurement dimensions contained in a single component; The installation conflict coefficient is specifically: ； Where 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, ω i is the weight of each dimension; The spatial interference coefficient is specifically: ； Where K is the spatial interference coefficient, D min is the minimum distance between measured components, D s The safe installation distance required by the specification; The timing conflict coefficient is specifically: ； in S is the timing conflict coefficient, T a is the actual interval time between adjacent processes, T p Reserve time for the schedule, T h For buffer time; The resource competition coefficient is specifically: ； Where Z is the resource competition coefficient, R x is the resource demand at the same time, R k is the total amount of resources available on site; The process compatibility coefficient is specifically: ； Where G is the process compatibility coefficient, C p is the critical dimension process capability coefficient, C p0 is the benchmark process capability, C is the number of special process equipment for the component, N is the number of special parts included in the component, and F is the benchmark value of the tooling coefficient; The schedule delay coefficient is specifically: ； 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; The time deviation rate is specifically: ； Where T a is the actual construction period, T p The project duration is the baseline; The critical path weight is specifically: ； where △t j is the number of days the jth task is delayed, j is the task weight; The resource fluctuation coefficient is specifically: ； where R q is the resource demand during the delay period, R is the total amount of resources available on site, and α is the resource sensitivity coefficient; Decision-making classification module: used to classify the dimension deviation coefficient, installation conflict coefficient and schedule delay coefficient and generate multi-level early warning signals; Intelligent early warning module: used to trigger visual alarms and take relevant measures based on early warning signals; Multi-terminal collaboration platform: used to provide a real-time data synchronization interface for multiple devices, with data updated in real time and shared by everyone.

2. The BIM module management device for prefabricated buildings according to claim 1, wherein: The dimensional deviation coefficient is graded to generate a graded warning signal as follows: When P>x1, it is a serious deviation and a red warning is activated; when x2≤P<x1, it is a moderate deviation and an orange warning is activated; when x3≤P<x2, it is a slight deviation and a yellow warning is activated; The installation conflict coefficient is graded and the graded warning signals are generated as follows: When A>y1, it is a serious conflict and the red emergency warning is activated; when y2<A≤y1, it is a minor conflict and the yellow warning is activated; when A≤y2, it is a safe state; The progress delay coefficient is graded and the graded warning signals are generated as follows: When J>z1, it is a serious delay and a red alert is activated; when z2<J≤z1, it is a moderate delay and an orange alert is activated; When J<z2, it is a minor delay and a blue warning is activated.

3. A method for managing BIM modules of prefabricated buildings, according to a BIM module management device for prefabricated buildings according to any one of claims 1-2, characterized in that: The specific steps include: 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 the code and the component's geometric dimensions, production batch, and installation priority; S2. Use high-frame-rate laser scanning equipment to collect the actual dimensional data of a single component on site, combine it with an adaptive point cloud processing algorithm to eliminate environmental noise interference, and generate standardized construction data records; S3. Compare the actual dimensions of the components with the model dimensions to generate deviation coefficients, and simultaneously calculate the installation conflict coefficient and schedule delay coefficient based on the construction schedule; S4. Classify the dimensional deviation coefficient, installation conflict coefficient and schedule delay coefficient and generate multi-level warning signals; S5. Synchronously push warning signals through AR devices, mobile terminals, and on-site display screens, and automatically associate relevant measures; S6. Real-time data synchronization between PC, mobile and edge computing devices is achieved through a distributed database, and all participants share the latest construction status.

Images