Construction data management system and method for intelligent building mechanical and electrical installation

Abstract

The invention discloses a construction data management system and method for intelligent building mechanical and electrical installation, and relates to the technical field of intelligent construction, and the method comprises the steps: collecting the multi-source data of a construction site, carrying out the real-time analysis and matching, recognizing a disturbance event, and associating to a corresponding component of a BIM model and a construction plan target process; extracting resource information, calculating the influence of disturbance on subsequent processes, and generating a coupled digital twinborn model; progress and resource deviation analysis is carried out, the construction scheme change influence is simulated, and a comprehensive deviation report is output; calling a knowledge base historical scheme, generating a correction scheme in combination with a current resource state, simulating an implementation effect, and executing after examination and approval; and monitoring the execution of the correction scheme in real time, comparing the actual progress, updating the knowledge base and the BIM model, and forming reusable experience entries.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent construction, and particularly relates to a construction data management system and method for intelligent building mechanical and electrical installation. BACKGROUND

[0002] With the deep integration of building information modeling, Internet of Things, artificial intelligence and other new generation information technologies, intelligent construction has become the core direction of promoting the transformation and upgrading of the construction industry. In the intelligent building mechanical and electrical installation engineering, construction disturbance is a long-neglected pain point. How to realize fine management, dynamic control and risk prediction of the construction process, and solve the construction disturbance, is a key challenge currently faced by the industry.

[0003] Traditional construction site management relies on manual reporting, regular inspection and post-reporting. The data collection is lagging. When disturbances such as material arrival delay, equipment failure, design change or cross-operation conflict occur, the manager can only be passively informed after the problem has caused actual loss, which makes the construction plan seriously out of touch with the actual state of the site. The traditional technology information island is serious, the analysis is isolated, and the responsibility tracing is difficult. The BIM technology is disconnected with the actual progress, resource consumption and material state of the construction site. When a disturbance occurs at the construction site, the manager is difficult to accurately associate it with the specific components and planned processes in the BIM model, and cannot intuitively and dynamically deduce the chain effect of the disturbance on the subsequent processes, key paths, and project total progress and cost, resulting in a lack of data support for decision-making and blindness in adjusting the scheme. The existing technology relies on experience-driven decision-making mode, which makes it difficult to quantify experience and the quality of the scheme is uneven; valuable experience is lost with the end of the project and cannot be deposited as organizational assets; and there is a lack of effect evaluation and feedback loop, resulting in resource waste and cost out of control when facing construction disturbance. SUMMARY

[0004] The purpose of the present application is to provide a construction data management system and method for intelligent building mechanical and electrical installation to solve the problems in the prior art.

[0005] To achieve the above purpose, the present application provides the following technical scheme:

[0006] In a first aspect, the present application provides a construction data management method for intelligent building mechanical and electrical installation, comprising:

[0007] Collecting multi-source data of the construction site through RFID, intelligent cameras, device Internet of Things sensors and environmental sensors of the construction site; based on a preset disturbance type library, real-time analyzing and matching the collected data to identify disturbance events;

[0008] The identified disturbance event is associated to a corresponding component through a component unique identifier of the BIM model, and a target process in a construction plan is synchronously associated; resource information of the process in the construction plan is extracted, and influence on subsequent processes is calculated in combination with influence parameters of the disturbance event, to obtain a coupled digital twin model;

[0009] Progress deviation analysis and resource deviation analysis are performed, progress deviation, material inventory deviation and human resource idle rate are calculated, influence of construction scheme change on pipeline integration is simulated through the BIM model, and an integrated deviation analysis report is output;

[0010] A historical correction scheme in the knowledge base is called, a correction scheme is generated in combination with a current resource state, implementation effect of the correction scheme is simulated through the BIM model, and an executable adaptive correction scheme is obtained through scheme approval;

[0011] Execution of the correction scheme is monitored in real time through Internet of Things devices, actual progress is compared with a target of the correction scheme, implementation effect data of the correction scheme and the corresponding disturbance event are updated to the knowledge base, reusable experience entries are formed, and an updated BIM model and knowledge base are obtained.

[0012] In combination with the first aspect, in a first implementation manner of the first aspect of the application, the multi-source data of the construction site is collected through RFID, intelligent cameras, device Internet of Things sensors and environment sensors of the construction site, and the multi-source data of the construction site includes:

[0013] A unique identifier, a specification model, an arrival time and an inventory quantity are recorded through an RFID chip on the component, a worker position and an operation state are collected through the intelligent cameras, operation parameters of the device are monitored according to the device Internet of Things sensors, and temperature, humidity and noise data are monitored through the environment sensors including temperature, humidity and noise sensors.

[0014] In combination with the first aspect, in a second implementation manner of the first aspect of the application, the collected data is analyzed and matched in real time based on a preset disturbance type library, a disturbance event is identified, and the second implementation manner includes:

[0015] A disturbance type library stored by using a structured data table is constructed, and includes a disturbance type ID, a disturbance type name, a trigger condition and an influence parameter template; the trigger condition is composed of at least one quantitative rule of data source, comparison operator and threshold; the collected multi-source data is cleaned, formatted and event extracted to form a standardized real-time data stream;

[0016] The data stream is circularly traversed and logically compared with each trigger condition in the disturbance type library, when related data in the real-time data stream meets all elements of a specific trigger condition in a specified time window, a corresponding disturbance event is determined to occur, and a disturbance event report of preliminary influence evaluation is generated.

[0017] With reference to the first aspect, in a third implementation form of the first aspect of the present disclosure, the associating the identified disturbance event to the corresponding component through the component unique identifier in the BIM model, and synchronously associating the target procedure in the construction plan, comprises:

[0018] performing spatial position query and matching in the spatial database of the BIM model with the occurrence position information contained in the identified disturbance event report as an index, locating to the BIM component consistent with the spatial coordinates of the disturbance event, and obtaining the unique identifier of the component;

[0019] binding the disturbance event report and the corresponding component information in the BIM model by taking the unique identifier as an association key; and finding all procedure tasks bound with the component in the associated construction plan database by using the unique identifier, associating the disturbance event with the target procedure causing the disturbance to occur, which is currently being executed or planned to be executed, and updating the task state of the procedure to be blocked or to be reviewed.

[0020] With reference to the first aspect, in a fourth implementation form of the first aspect of the present disclosure, the extracting resource information of the procedure in the construction plan, and calculating the influence on the subsequent procedure in combination with the influence parameter of the disturbance event to obtain the coupled digital twin model, comprises:

[0021] according to the unique identifier of the identified disturbance event, calling the corresponding influence calculation formula from the preset disturbance type library; extracting the original influence parameter from the reported disturbance event information, quantifying the original influence parameter by using the influence calculation formula to generate a disturbance influence value; and combining the preset threshold system to determine each disturbance event as high, medium and low disturbance levels;

[0022] reading the total float time of the procedure in which the disturbance event occurs from the procedure time parameter attribute of the digital twin model; based on the logic relationship network of the procedures stored in the BIM model, analyzing by the critical path method to identify whether the disturbance event is located on the critical path of the project; when the disturbance influence value of the disturbance event is greater than the total float time of the procedure, or when the disturbance event is located on the critical path, defining the procedure and all subsequent procedures as a disturbed procedure chain;

[0023] Traverse each process in the disturbed process chain, extract the original planned start time, planned completion time and resource demand parameters, modify the process time parameters and resource demand parameters of the disturbed process chain according to the generated disturbance influence value, and generate new parameter values; using the forward push method, based on the modified process parameters, recalculate the start and completion times of all subsequent processes in the disturbed process chain; update the calculated modified process time parameters and resource demand parameters to the digital twin model, complete the coupling of the disturbance event and the construction plan, and form a dynamic digital twin model reflecting the current actual state.

[0024] In combination with the first aspect, in a fifth implementation manner of the first aspect of the present application, the progress deviation analysis and resource deviation analysis are performed, and the progress deviation, material inventory deviation and human resource idle rate are calculated, including:

[0025] The actual completion percentage of any process in the digital twin model at the current time is obtained, compared with the planned completion percentage of the process in the construction plan, and the progress deviation rate of the process is calculated, and the calculation formula is:

[0026]

[0027] Wherein, SV is the progress deviation rate, PAC is the actual completion percentage, and PPC is the planned completion percentage;

[0028] All processes in the digital twin model are traversed, and a progress deviation analysis report containing the progress deviation rates of the processes is generated;

[0029] The actual resource consumption of all completed processes in the digital twin model is obtained, the associated planned resource consumption in the BIM model is called, and the consumption deviation of each resource is calculated, and the calculation formula is:

[0030] RD = ARC-PRC;

[0031] Wherein, RD is the resource consumption deviation, PRC is the planned resource consumption, and ARC is the actual resource consumption;

[0032] The resource consumption deviation is compared with the corresponding planned resource consumption, and a resource consumption deviation analysis report is generated;

[0033] The planned working hours and actual working hours of each type of work in the digital twin model in the current statistical period are obtained, and the human resource idle rate of the type of work is calculated, and the calculation formula is:

[0034]

[0035] Wherein, IR is the human resource idle rate, PH is the planned working hours, and AH is the actual working hours;

[0036] Aggregate the idle rate data of all types of workers or workers to generate a human resource idle analysis report.

[0037] In combination with the first aspect, in a sixth implementation manner of the first aspect of the present application, the influence of the construction scheme change on the pipeline integration is simulated through the BIM model, and a comprehensive deviation analysis report is output, including:

[0038] Based on the progress deviation and resource deviation analysis results, the core disturbance event causing the deviation is located; from the coupled digital twin model, the current process, associated process and all affected resource information affected by the disturbance event are extracted to form a problem influence set;

[0039] For the problem influence set, a preset change rule library is called to generate at least one candidate construction scheme, including adjusting the construction sequence of the affected process, replacing with equivalent resources or adopting alternative construction technology; the candidate construction scheme is implemented in the BIM model, and the planned completion time, resource consumption and spatial position of the affected process are updated synchronously; a collision detection algorithm is called to detect the spatial conflict between the change scheme and the subsequent process and other professional pipelines;

[0040] The BIM model deduction result and the conflict detection result are summarized to generate a comprehensive deviation analysis report, including the feasibility of the candidate scheme, the expected influence on the critical path and the overall construction period after implementation, and the potential new risk points.

[0041] In combination with the first aspect, in a seventh implementation manner of the first aspect of the present application, the historical correction scheme in the knowledge base is called to generate a correction scheme in combination with the current resource state, and the implementation effect of the correction scheme is simulated through the BIM model; the scheme is approved to obtain an executable adaptive correction scheme, including:

[0042] Based on the comprehensive deviation analysis report, the core problem type in the report is identified, and a historical correction scheme set highly matched with the core problem type is searched from the historical knowledge base; the searched historical scheme set is dynamically matched with the real-time resource state in the digital twin model, and the candidate correction scheme most feasible under the current resource condition is screened out to generate a preliminary correction scheme list;

[0043] For each candidate scheme in the preliminary correction scheme list, implementation deduction is performed in the digital twin model, including updating of the construction progress plan, re-allocation of resources and adjustment of process logic, and simulation of the whole construction process after deduction; the effect of each candidate scheme after implementation is comprehensively evaluated, including the influence on the total construction period, resource consumption, subsequent process and potential risks, and an evaluation report of each candidate scheme is generated;

[0044] The evaluation report of each candidate solution is visually presented for project managers to approve the solution; when the approval is passed, the selected candidate solution is marked as executable and solidified as a new construction plan; the new plan will automatically update the construction progress, resource allocation and process logic in the digital twin model, forming an adaptive correction scheme.

[0045] In combination with the first aspect, in an eighth implementation manner of the first aspect of the present application, the execution of the correction scheme is monitored in real time through the Internet of Things device, and the actual progress is compared with the target of the correction scheme; the implementation effect data of the correction scheme and the corresponding disturbance event are updated to the knowledge base to form reusable experience entries, and an updated BIM model and knowledge base are obtained, including:

[0046] Real-time data in the execution process of the correction scheme are continuously collected, and the real-time data are compared with the target data in the adaptive correction scheme in real time to calculate the progress deviation rate and the resource consumption deviation amount, and an execution deviation report is generated; when the execution deviation exceeds a preset threshold, a warning mechanism is triggered to notify the project manager for manual processing;

[0047] After the execution of the adaptive correction scheme is completed, the information of the correction scheme is structurally processed, key feature labels are extracted, and stored in the knowledge base to form reusable experience entries; according to the actual execution result of the correction scheme, the final state in the digital twin model is confirmed and solidified, the completion information, actual resource consumption record and final process logic relationship in the BIM model are updated, the consistency between the digital twin model and the physical entity state is ensured, and an updated BIM model and knowledge base are obtained.

[0048] In a second aspect, the present application provides a construction data management system for intelligent building mechanical and electrical installation, comprising:

[0049] A data perception and collection module includes an RFID data collection unit, a video monitoring data collection unit and a device and environment sensing data unit; wherein the RFID data collection unit automatically identifies components and materials, collects their unique identifiers, specifications, models, arrival times and inventory quantities; the video monitoring data collection unit collects worker positions, work states and safety behavior information; the device and environment sensing data unit monitors the running parameters of the equipment and the on-site environment data in real time;

[0050] The event identification and correlation module comprises a data preprocessing unit, a disturbance event identification unit and a model and plan correlation unit; the data preprocessing unit cleans, formats and event extracts the collected original data, and converts the original data into standardized real-time data flow; the disturbance event identification unit compares the standardized data flow with a preset disturbance rule library, and automatically identifies a disturbance event when the data meet a specific condition; the model and plan correlation unit uses a unique identifier of a component of the BIM model to accurately locate the identified disturbance event to a specific component, and synchronously correlates the disturbance event to a target process in a construction plan to establish a direct connection between the disturbance and the influence;

[0051] The influence analysis and scheme generation module comprises an influence propagation analysis unit, a scheme simulation and evaluation unit and a scheme approval and solidification unit; the influence propagation analysis unit calculates the chain influence of the disturbance event on subsequent process progress and resource consumption based on the logical relationship between processes, and generates a comprehensive deviation analysis report; the scheme simulation and evaluation unit simulates the implementation effect of different correction schemes in the digital twin model, evaluates the schemes from the aspects of time, cost and risk, and selects an optimal candidate scheme; the scheme approval and solidification unit submits the candidate scheme for approval, and solidifies the scheme into a new construction plan after the approval, and automatically updates the progress, resources and logic in the digital twin model to form an adaptive correction scheme;

[0052] The scheme execution and monitoring module comprises a scheme execution monitoring unit and a deviation warning and intervention unit; the scheme execution monitoring unit tracks the execution progress of the correction scheme in real time, compares the actual data with the scheme target, and timely discovers and warns the execution deviation; the deviation warning and intervention unit automatically triggers a warning mechanism when the execution deviation exceeds a preset threshold, and notifies the management personnel for manual processing;

[0053] The knowledge sedimentation and model updating module comprises an experience knowledge unit and a model state synchronization unit; the experience knowledge unit structurally processes the disturbance event, the correction scheme and the implementation effect, extracts key feature labels, and stores the labels in the knowledge base as new experience entries to realize accumulation and reuse of the knowledge; the model state synchronization unit confirms and solidifies the final state of the digital twin model according to the actual execution result of the correction scheme, updates the completion information, actual resource consumption and process logic in the BIM model, and ensures that the digital twin is completely consistent with the physical entity.

[0054] Compared with the prior art, the present application has the following advantages:

[0055] 1. The present application collects multi-source data of a construction site, performs real-time analysis and matching on the collected data according to a preset disturbance type library, and identifies disturbance events in the construction process.

[0056] 2、The application utilizes the unique identifier of the component of the BIM model to associate the identified disturbance event to the specific component and the corresponding construction plan process.

[0057] 3、Extract the resource information of the process, combine the influence parameters of the disturbance event, dynamically calculate and deduce the comprehensive influence of the disturbance on the progress, resource consumption and cost of the subsequent process, and finally generate a digital twin model coupled with real-time disturbance information. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 A step schematic diagram of a construction data management method for intelligent building mechanical and electrical installation of the application;

[0059] Figure 2 A program flow chart of a construction data management method for intelligent building mechanical and electrical installation of the application;

[0060] Figure 3 A system structure diagram of a construction data management system for intelligent building mechanical and electrical installation of the application. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the application.

[0062] Embodiment: As shown in the embodiment, the application provides a technical solution, Figures 1-3

[0063] As shown in the embodiment, the application provides a technical solution, Figure 1 A step schematic diagram of a construction data management method for intelligent building mechanical and electrical installation of the application is shown, the application provides a construction data management method for intelligent building mechanical and electrical installation, comprising:

[0064] Step S100: Collect multi-source data of the construction site through RFID, intelligent camera, device Internet of Things sensor and environmental sensor of the construction site; based on the preset disturbance type library, analyze and match the collected data in real time to identify disturbance events;

[0065] Specifically, the unique identifier, specification and model, arrival time and inventory quantity are recorded through the RFID chip on the component; the worker position and operation state are collected through the intelligent camera; the running parameters of the equipment are monitored according to the device Internet of Things sensor; the temperature, humidity and noise data are monitored through the environmental sensor, including temperature, humidity and noise sensor.

[0066] ​A disturbance type library is constructed using a structured data table for storage, including a disturbance type ID, a disturbance type name, a trigger condition, and an impact parameter template; the trigger condition is composed of a quantitative rule of at least one data source, a comparison operator, and a threshold value; the collected multi-source data is cleaned, formatted, and event extracted to form a standardized real-time data stream;

[0067] The data stream is compared with each trigger condition in the disturbance type library in a loop, and when the relevant data in the real-time data stream meets all the elements of a specific trigger condition within a specified time window, it is determined that a corresponding disturbance event occurs, and a preliminary impact assessment disturbance event report is generated.

[0068] In a specific embodiment, at 2023-09-04 14:30:15, for a galvanized steel pipe with a specification of DN150, RFID chip ID: A-20230901-01, the unique identifier, specification and model, and inventory quantity of 120 are read; the intelligent camera erected above the pipe welding work area continuously monitors welder Zhang San, work number W-008, staying in the work area and performing welding tasks through image recognition algorithm; the Internet of Things sensor of the pipe welding equipment with area number WLD-005 reports that the current is 280A, the voltage is 380V, and the welding temperature is 1650℃; At the same time, the environmental sensor in the work area monitors that the current environmental temperature is 38.1℃, the humidity is 65%, and the noise is 85dB. In the constructed disturbance type library, there is a record of disturbance type ID P-003, whose disturbance type name is high temperature environment work, and its trigger condition is defined as temperature > 38℃, lasting for 5 minutes. It is found that the environmental temperature continuously meets the trigger condition of > 38℃ in the time window of 14:30:15 to 14:35:15, so it is determined that a high temperature environment work disturbance event occurs, and a disturbance event report is immediately generated, report number ERP-20230904-001, which preliminarily assesses that the disturbance may cause the welding worker's work efficiency to decrease by about 15%, and suggests to start the heatstroke cooling measures.

[0069] Step S200: associate the identified disturbance event to the corresponding component through the unique identifier of the component of the BIM model, and synchronize the target process in the construction plan; extract the resource information of the process in the construction plan, combine the impact parameters of the disturbance event, calculate the impact on the subsequent process, and obtain the coupled digital twin model;

[0070] Specifically, using the occurrence location information contained in the identified disturbance event report as an index, spatial location query and matching are performed in the spatial database of the BIM model to locate the BIM component consistent with the spatial coordinates of the disturbance event, and obtain the unique identifier of the component;

[0071] Bind the disturbance event report with the corresponding component information in the BIM model by taking the unique identifier as the association key; use the unique identifier to find all process tasks bound to the component in the associated construction plan database, associate the disturbance event with the target process that caused the disturbance, and update the task status of the process to blocked or review.

[0072] According to the unique identifier of the identified disturbance event, retrieve the corresponding impact calculation formula from the preset disturbance type library; extract the original impact parameter from the reported disturbance event information, and use the impact calculation formula to quantify the original impact parameter to generate a disturbance impact value; combine the preset threshold system to determine each disturbance event as high, medium, and low disturbance levels;

[0073] Read the total float time of the process where the disturbance event occurs from the process time parameter attribute of the digital twin model; based on the logic relationship network between processes stored in the BIM model, analyze and identify whether the disturbance event is located on the critical path of the project by the critical path method; when the disturbance impact value of the disturbance event is greater than the total float time of the process, or when the disturbance event is located on the critical path, define the process and all subsequent processes as a disturbed process chain;

[0074] Traverse each process in the disturbed process chain, extract the original planned start time, planned completion time, and resource demand parameters, and correct the process time parameters and resource demand parameters of the disturbed process chain according to the generated disturbance impact value to generate new parameter values; use the forward pass method to recalculate the start and completion times of all subsequent processes in the disturbed process chain based on the corrected process parameters; update the corrected process time parameters and resource demand parameters to the digital twin model to complete the coupling of the disturbance event and the construction plan, and form a dynamic digital twin model reflecting the current actual state.

[0075] In a specific embodiment, a disturbance event report numbered ERP-20230904-001 was generated at 14:30:15 on September 4, 2023, showing that a high-temperature environment disturbance occurred in the DN150 galvanized steel pipe welding work area with ID A-20230901-01 in the BIM model, coordinates X: 120.5, Y: 85.2, Z: 0.0, the impact parameter is the ambient temperature 38.1℃, and the duration has exceeded 5 minutes. First, the corresponding pipe component is accurately matched in the spatial database of the BIM model by indexing the spatial coordinates, obtaining its unique identifier A-20230901-01, and binding the disturbance event report with the component information. Subsequently, the unique identifier is used to associate the bound process steel structure welding-third layer-W area in the construction plan database, and the process ID is P-015, and the process state is updated to blocked. The disturbance type library is called to retrieve the impact calculation formula of high-temperature environment work, and the data is substituted to calculate the impact value as 0.0083, which is combined with the preset threshold system to determine as a low-level disturbance. The total float time of process P-015 is read as 2 days, and the critical path method analysis confirms that the process is not on the project critical path. Since the impact value is much smaller than the total float time, it is determined that the disturbance has limited impact on the overall project schedule, and only the process P-015 is defined as a disturbed process chain. Finally, the original planned start time of process P-015 is extracted as 2023-09-05 08:00:00, the planned completion time is 2023-09-05 18:00:00, and the resource requirement is 2 welders, 5 kg of welding material. According to the impact value, the process time parameters are fine-tuned to generate a new planned completion time of 2023-09-05 18:00:30, and the resource requirement remains unchanged. The corrected parameters are updated to the digital twin model, and the coupling of the disturbance event and the construction plan is completed, forming a digital twin model that dynamically reflects the actual construction state in detail.

[0076] Step S300: Perform progress deviation analysis and resource deviation analysis, calculate progress deviation, material inventory deviation and human resource idle rate; simulate the influence of construction scheme change on pipeline integration through BIM model, and output integrated deviation analysis report;

[0077] Specifically, the actual completion percentage of any process in the digital twin model at the current time is obtained, compared with the planned completion percentage of the process in the construction plan, and the progress deviation rate of the process is calculated. The calculation formula is:

[0078]

[0079] Wherein, SV is the progress deviation rate, PAC is the actual completion percentage, and PPC is the planned completion percentage;

[0080] Traverse all the processes in the digital twin model, generate a progress deviation analysis report containing the progress deviation rate of each process;

[0081] Obtain the actual resource consumption of all completed processes in the digital twin model, retrieve the associated planned resource consumption in the BIM model, and calculate the consumption deviation of each resource. The calculation formula is:

[0082] RD = ARC - PRC;

[0083] Where RD is the resource consumption deviation, PRC is the planned resource consumption, and ARC is the actual resource consumption.

[0084] Compare the resource consumption deviation with the corresponding planned resource consumption to generate a resource consumption deviation analysis report.

[0085] Obtain the planned and actual working hours of each type of work in the current statistical period in the digital twin model, and calculate the idle rate of human resources for that type of work. The calculation formula is:

[0086]

[0087] Where IR is the idle rate of human resources, PH is the planned working hours, and AH is the actual working hours.

[0088] Summarize the idle rate data of all types of work or workers to generate a human resource idle analysis report.

[0089] Based on the progress deviation and resource deviation analysis results, locate the core disturbance event that causes the deviation. From the coupled digital twin model, extract the current process, associated process and all affected resource information affected by the disturbance event to form a problem influence set.

[0090] For the problem influence set, call the preset change rule library to generate at least one candidate construction scheme, including adjusting the construction sequence of the affected process, replacing equivalent resources or using alternative construction technology. Implement the candidate construction scheme in the BIM model and update the planned completion time, resource consumption and spatial position of the affected process. Call the collision detection algorithm to detect the spatial conflict between the change scheme and the subsequent process and other professional pipelines.

[0091] Summarize the BIM model deduction results and conflict detection results to generate a comprehensive deviation analysis report, including the feasibility of the candidate scheme, the expected impact on the critical path and the overall construction period after implementation, and potential new risk points.

[0092] In a specific embodiment, the installation process of the air conditioning horizontal main pipe is analyzed. At the checkpoint on September 11, 2023, the actual completion percentage of this process obtained from the digital twin model is 65%, while the planned completion percentage in the construction plan is 80%. Substituting into the formula, the progress deviation rate is calculated as -18.75%, indicating that there is a significant progress lag in this process. At the same time, the actual resource consumption data of the completed process is obtained: the consumption of galvanized steel pipe is 125 meters, and the actual working hours are 80 people / hour; while the associated planned resource consumption in the BIM model is 120 meters of steel pipe and 100 people / hour of planned working hours. Substituting into the formula to calculate the resource consumption deviation, the steel pipe consumption deviation is 5 meters, which is overconsumption, and the working hour consumption deviation is -20 people / hour, which is saving. The idle rate calculation of human resources shows that the pipe work team belonging to this process has a planned working time of 400 people / hour in the current week, and only 380 people / hour are actually consumed. Substituting into the formula gives an idle rate of 5%. Based on the above progress and resource deviation analysis, the core disturbance event is located as the delayed arrival of goods, with event ID DEL-001. For the problem influence set, two candidate solutions are generated by calling the change rule library, solution A is to wait for the arrival of materials and continue the original construction plan, and solution B is to allocate human resources to the unaffected bridge installation process and return to construction after the arrival of materials. In the BIM model, solution B is simulated to update the planned completion time of the air conditioning horizontal main pipe installation process, making it delayed by 2 days, and the saved 20 people / hour of working hours are allocated to the bridge installation process. The collision detection result shows that the adjustment of solution B will not cause spatial conflict with the subsequent electrical bridge installation. Finally, a comprehensive deviation analysis report is generated by summarizing all the information, which points out that solution B will cause the air conditioning process to be delayed by 2 days, but avoids the idle of human resources and keeps the overall critical path and total duration of the project unchanged. It is recommended to adopt solution B, and it is suggested to pay attention to the secondary construction quality risk after the arrival of materials.

[0093] Step S400: Call the historical correction scheme in the knowledge base, generate a correction scheme combined with the current resource state, simulate the implementation effect of the correction scheme through the BIM model, and perform scheme approval to obtain an executable adaptive correction scheme;

[0094] Specifically, based on the comprehensive deviation analysis report, the core problem type in the report is identified, and a set of historical correction schemes highly matched with the core problem type is retrieved from the historical knowledge base; the retrieved set of historical schemes is dynamically matched with the real-time resource state in the digital twin model to filter out the most feasible candidate correction scheme under the current resource condition, generating a preliminary correction scheme list;

[0095] For each candidate solution in the preliminary modification scheme list, implementation deduction is performed in the digital twin model, including updating of the construction schedule, reallocation of resources, and adjustment of the process logic, to simulate the entire construction process after deduction; the effects of each candidate solution after implementation are comprehensively evaluated, including the influence on the total duration, resource consumption, subsequent processes, and potential risks, to generate an evaluation report for each candidate solution;

[0096] The evaluation reports of the candidate solutions are visually presented for project managers to approve the schemes; when the selected candidate solution is approved, it is marked as executable and solidified as a new construction plan; the new plan automatically updates the construction schedule, resource allocation, and process logic in the digital twin model, forming an adaptive modification scheme.

[0097] In a specific embodiment, based on the generated comprehensive deviation analysis report, 3 sets of historical modification schemes highly matched with the problem type are retrieved from the historical knowledge base. These 3 schemes are dynamically matched with the real-time resource status in the digital twin model, and a candidate solution of adjusting the workforce to a process without material dependency is selected, forming a preliminary modification scheme list. Implementation deduction is performed on the scheme in the digital twin model, the construction plan is updated, the original plan of 40 people / hour of work for air conditioning pipe installation is reallocated to the finishing work of bridge installation, and the cascading effect of subsequent processes is simulated. The evaluation report shows that this scheme can reduce the idle rate of human resources from 5% to 0%, is expected to save about 8000 yuan of labor cost, and has no effect on the total project duration, but there is a quality coordination risk that may be caused by process adjustment. The above evaluation results are visually presented in the form of charts for the project manager to approve. After the project manager approves, the candidate solution is marked as executable and automatically solidified as a new construction plan, which is updated to the digital twin model, and finally an executable adaptive modification scheme is generated.

[0098] Step S500: Real-time monitoring of the execution of the modification scheme by the Internet of Things device, comparing the actual progress with the target of the modification scheme; updating the implementation effect data of the modification scheme and the corresponding disturbance event to the knowledge base to form reusable experience entries, obtaining an updated BIM model and knowledge base.

[0099] Specifically, real-time data during the execution of the modification scheme is continuously collected, the real-time data is compared with the target data in the adaptive modification scheme in real time, the progress deviation rate and the resource consumption deviation amount are calculated, an execution deviation report is generated, and when the execution deviation exceeds a preset threshold, a warning mechanism is triggered to notify the project manager for manual processing;

[0100] After the adaptive correction scheme is executed, all information of the correction scheme is structured, key feature labels are extracted, and stored in the knowledge base to form reusable experience entries; according to the actual execution result of the correction scheme, the final state in the digital twin model is confirmed and solidified, the completion information in the BIM model, the actual resource consumption record and the final process logic relationship are updated, to ensure that the digital twin model is consistent with the physical entity state, and an updated BIM model and knowledge base are obtained.

[0101] In a specific embodiment, the execution of the adaptive correction scheme is monitored, data is continuously collected through Internet of Things devices, and after the first hour of execution, real-time data is compared with the scheme target, it is found that the actual completion percentage of the bridge installation process has reached 20%, while the target value is 15%, the progress deviation rate is calculated to be +33%, which exceeds the preset threshold of ±20%, and the early warning mechanism is triggered immediately, notifying the project manager: "The progress of the bridge installation process is ahead of schedule, which may cause subsequent processes to wait, please coordinate." After receiving the warning, the project manager instructs the workers to slow down. After the execution of the scheme is completed, the information of the correction scheme is structured, and key labels such as material delay, manpower redistribution, zero-period loss, etc. are extracted and stored in the knowledge base to form a new reusable experience entry. At the same time, according to the final execution result, the digital twin model is updated, the actual completion time of the bridge installation, the actual labor consumption and the final process logic relationship are solidified, to ensure that the digital twin model is completely consistent with the physical entity on site, and finally a dynamic updated BIM model and knowledge base containing new experience are obtained.

[0102] As Figure 2 A program flow chart of a construction data management method for intelligent building mechanical and electrical installation is shown, and the present application provides a construction data management method for intelligent building mechanical and electrical installation, which comprises:

[0103] The present application comprehensively collects multi-source real-time data of personnel, machinery, materials and environment through RFID, intelligent cameras, device Internet of Things sensors and environmental sensors deployed on the construction site, to form a three-dimensional perception of the construction site; based on the preset disturbance type library containing quantitative trigger conditions, the incoming data is analyzed and matched in real time, and various disturbance events are automatically identified; when the identification is successful, the disturbance event is associated with the specific entity component and the corresponding construction plan process through the unique identifier of the BIM model component, to realize accurate mapping of information and entities.

[0104] The detailed resource and time parameters of the process in the construction plan are extracted, the influence calculation formula of the disturbance event is combined, the influence value is quantified and the level is determined, the chain influence of the disturbance on the subsequent process chain is analyzed by the critical path method, the state of the digital twin model is dynamically updated, so that the actual situation after the disturbance on the site is truly reflected; based on the updated model, the progress deviation and resource deviation analysis are automatically carried out, the progress deviation rate, material inventory deviation and human resource idle rate are calculated, the influence of different construction scheme changes on the comprehensive layout of the pipeline is simulated through the BIM model, and a comprehensive deviation analysis report containing feasibility, expected construction period influence and risk points is output;

[0105] The historical correction scheme stored in the knowledge base is called, and intelligent matching and screening are carried out with the current real-time resource state to generate a preliminary candidate correction scheme list. The schemes are implemented and deduced in the whole process and the effects are evaluated in the BIM model. After being approved by the project management personnel, an executable adaptive correction scheme is formed. In the scheme execution phase, the Internet of Things equipment continuously monitors the execution, compares the actual progress with the correction target, and generates an execution deviation report. After the scheme execution is completed, the successful correction scheme and the corresponding disturbance event information are structured and updated to the knowledge base to form a reusable experience entry, and the BIM model is updated to the latest completion state.

[0106] As Figure 3 A system structure diagram of a construction data management system for intelligent building mechanical and electrical installation is shown, and the present application provides a construction data management system for intelligent building mechanical and electrical installation, comprising:

[0107] The data perception and acquisition module comprises an RFID data acquisition unit, a video monitoring data acquisition unit and a device and environment sensing data unit; wherein the RFID data acquisition unit automatically identifies components and materials, acquires their unique identifiers, specifications, models, arrival times and inventory quantities; the video monitoring data acquisition unit acquires worker positions, work states and safety behavior information; the device and environment sensing data unit monitors device operating parameters and on-site environment data in real time;

[0108] The event recognition and association module comprises a data preprocessing unit, a disturbance event recognition unit and a model and plan association unit; wherein the data preprocessing unit cleans, formats and event extracts the collected raw data, and converts them into standardized real-time data streams; the disturbance event recognition unit compares the standardized data stream with the preset disturbance rule library, and automatically recognizes the disturbance event when the data meet certain conditions; the model and plan association unit uses the unique identifier of the component of the BIM model to accurately locate the recognized disturbance event to a specific component, synchronously associates it to the target process in the construction plan, and establishes a direct connection between the disturbance and the influence;

[0109] The influence analysis and scheme generation module comprises an influence propagation analysis unit, a scheme simulation and evaluation unit and a scheme approval and solidification unit; the influence propagation analysis unit calculates the chain influence of the disturbance event on the subsequent process progress and resource consumption based on the logical relationship between processes, and generates a comprehensive deviation analysis report; the scheme simulation and evaluation unit simulates the implementation effect of different correction schemes in the digital twin model, evaluates from multiple dimensions of time, cost and risk, and selects the optimal candidate scheme; the scheme approval and solidification unit submits the candidate scheme for approval, and after the approval, solidifies it as a new construction plan, automatically updates the progress, resources and logic in the digital twin model, and forms an adaptive correction scheme;

[0110] The scheme execution and monitoring module comprises a scheme execution monitoring unit and a deviation warning and intervention unit; the scheme execution monitoring unit tracks the execution progress of the correction scheme in real time, compares the actual data with the scheme target, and timely discovers and warns the execution deviation; the deviation warning and intervention unit automatically triggers the warning mechanism when the execution deviation exceeds the preset threshold, and notifies the management personnel for manual processing;

[0111] The knowledge sedimentation and model updating module comprises an experience knowledge unit and a model state synchronization unit; the experience knowledge unit structurally processes the disturbance event, the correction scheme and the implementation effect, extracts key feature labels, and stores them as new experience entries in the knowledge base, so as to realize the accumulation and reuse of knowledge; the model state synchronization unit confirms and solidifies the final state of the digital twin model according to the actual execution result of the correction scheme, updates the completion information, actual resource consumption and process logic in the BIM model, and ensures that the digital twin is completely consistent with the physical entity.

[0112] It is apparent to those skilled in the art that the present application is not limited to the details of the foregoing exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application. Therefore, the embodiments should be considered exemplary and non-limiting, and the scope of the present application is defined by the appended claims rather than the foregoing description, and all changes falling within the meaning and range of equivalent elements of the claims are intended to be encompassed by the present application. Any reference signs in the claims should not be considered as limiting the claims involved.

Claims

1. A construction data management method for intelligent building electromechanical installation, characterized in that, The method comprises the following steps: Collecting multi-source data of the construction site through RFID, intelligent cameras, equipment Internet of Things sensors and environmental sensors; Based on the preset disturbance type library, the collected data is analyzed and matched in real time to identify disturbance events; Through the unique identifier of the BIM model component, the identified disturbance event is associated with the corresponding component, and the target process in the construction plan is synchronously associated; the resource information of the process in the construction plan is extracted, combined with the influence parameters of the disturbance event, and the influence on the subsequent process is calculated to obtain the coupled digital twin model; Progress deviation analysis and resource deviation analysis are performed to calculate the progress deviation, material inventory deviation and human resource idle rate; the influence of construction scheme change on pipeline integration is simulated through the BIM model to output an integrated deviation analysis report; The historical correction scheme in the knowledge base is called, combined with the current resource state, to generate a correction scheme, and the implementation effect of the correction scheme is simulated through the BIM model; The scheme is approved to obtain an executable adaptive correction scheme; The execution of the correction scheme is monitored in real time through the Internet of Things equipment, and the actual progress is compared with the target of the correction scheme; the implementation effect data of the correction scheme and the corresponding disturbance event are updated to the knowledge base to form reusable experience entries, and an updated BIM model and knowledge base are obtained.

2. The construction data management method for intelligent building mechanical and electrical installation according to claim 1, characterized in that, The multi-source data of the construction site is collected through RFID, intelligent cameras, equipment Internet of Things sensors and environmental sensors, which comprises: The unique identifier, specification and model, arrival time and inventory quantity are recorded through the RFID chip on the component; the worker position and operation state are collected through the intelligent camera; the running parameters of the equipment are monitored according to the equipment Internet of Things sensor; the temperature, humidity and noise data are monitored through the environmental sensor including temperature, humidity and noise sensors.

3. The construction data management method for intelligent building electromechanical installation according to claim 1, wherein, The collected data is analyzed and matched in real time based on the preset disturbance type library to identify disturbance events, which comprises: A disturbance type library stored in a structured data table is constructed, including disturbance type ID, disturbance type name, trigger condition and influence parameter template; the trigger condition is composed of at least one data source, comparison operator and threshold quantitative rule; the collected multi-source data is cleaned, formatted and event extracted to form a standardized real-time data stream; The data stream is iterated and logically compared with each trigger condition in the disturbance type library; when the related data in the real-time data stream meets all elements of a specific trigger condition in a specified time window, it is determined that a corresponding disturbance event occurs, and a preliminary impact assessment disturbance event report is generated.

4. The construction data management method for intelligent building electromechanical installation according to claim 1, wherein, The unique identifier of the BIM model component is used to associate the identified disturbance event to the corresponding component, and the target process in the construction plan is synchronously associated, which comprises: The spatial position information contained in the identified disturbance event report is used as an index to perform spatial position query and matching in the spatial database of the BIM model, and the BIM component with the same spatial coordinates as the disturbance event is located to obtain the unique identifier of the component; The unique identifier is used as an association key to bind the disturbance event report to the corresponding component information in the BIM model; using the unique identifier, all process tasks bound to the component in the associated construction plan database are searched, the disturbance event is associated with the target process that causes the disturbance to occur, which is currently being executed or planned to be executed, and the task state of the process is updated to be blocked or to be reviewed.

5. The construction data management method for intelligent building electromechanical installation according to claim 1, wherein, The resource information of the process in the extracted construction plan is used to calculate the influence on the subsequent processes in combination with the influence parameters of the disturbance event, and a coupled digital twin model is obtained, including: According to the unique identifier of the identified disturbance event, a corresponding influence calculation formula is called from a preset disturbance type library; the original influence parameters are extracted from the reported disturbance event information, the original influence parameters are quantified by using the influence calculation formula to generate disturbance influence values; in combination with a preset threshold system, each disturbance event is determined to be high, medium or low disturbance level; The total float time of the process in which the disturbance event occurs is read from the process time parameter attribute of the digital twin model; based on the logic relationship network between processes stored in the BIM model, the critical path method is used for analysis to identify whether the disturbance event is located on the critical path of the project; when the disturbance influence value of the disturbance event is greater than the total float time of the process, or when the disturbance event is located on the critical path, the process and all subsequent processes are defined as a disturbed process chain; Each process in the disturbed process chain is traversed to extract the original planned start time, planned completion time and resource demand parameters, and the process time parameters and resource demand parameters of the disturbed process chain are corrected according to the generated disturbance influence values to generate new parameter values; the start and completion times of all subsequent processes in the disturbed process chain are recalculated based on the corrected process parameters by using the forward pass method; the corrected process time parameters and resource demand parameters calculated are updated to the digital twin model to complete the coupling of the disturbance event and the construction plan, and a dynamic digital twin model reflecting the current actual state is formed.

6. The construction data management method for intelligent building electromechanical installation according to claim 1, wherein, The progress deviation analysis and resource deviation analysis are performed to calculate the progress deviation, material inventory deviation and human resource idle rate, including: The actual completion percentage of any process in the digital twin model at the current time is obtained, compared with the planned completion percentage of the process in the construction plan, and the progress deviation rate of the process is calculated, and the calculation formula is: Wherein, SV is the progress deviation rate, PAC is the actual completion percentage, and PPC is the planned completion percentage; All processes in the digital twin model are traversed to generate a progress deviation analysis report containing the progress deviation rates of the processes; The actual resource consumption of all completed processes in the digital twin model is obtained, the associated planned resource consumption in the BIM model is called, and the consumption deviation of each resource is calculated, and the calculation formula is: RD = ARC-PRC; Wherein, RD is the resource consumption deviation, PRC is the planned resource consumption, and ARC is the actual resource consumption; The resource consumption deviation is compared with the corresponding planned resource consumption to generate a resource consumption deviation analysis report. The planned working hours and the actual working hours of each type of work in the current statistical period in the digital twin model are obtained, and the idle rate of human resources of the type of work is calculated, and the calculation formula is: Wherein, IR is the idle rate of human resources, PH is the planned working hours, and AH is the actual working hours; The idle rate data of all types of work or workers are summarized to generate a human resource idle analysis report.

7. The construction data management method for intelligent building electromechanical installation according to claim 1, wherein, The influence of the construction scheme change on the pipeline integration is simulated through the BIM model, and a comprehensive deviation analysis report is output, including: Based on the progress deviation and resource deviation analysis results, the core disturbance event causing the deviation is located; from the coupled digital twin model, the current process, associated process and all affected resource information affected by the disturbance event are extracted to form a problem influence set; For the problem influence set, a preset change rule library is called to generate at least one candidate construction scheme, including adjusting the construction sequence of the affected process, replacing with equivalent resources or using alternative construction technology; the candidate construction scheme is implemented in the BIM model, and the planned completion time, resource consumption and spatial position of the affected process are updated synchronously; a collision detection algorithm is called to detect the spatial conflict between the change scheme and the subsequent process and other professional pipelines. The BIM model deduction result and the conflict detection result are summarized to generate a comprehensive deviation analysis report, including the feasibility of the candidate scheme, the expected influence on the critical path and the overall construction period after implementation and the potential new risk points.

8. The construction data management method for intelligent building electromechanical installation according to claim 1, wherein, The historical correction scheme in the knowledge base is called to generate a correction scheme combined with the current resource state, and the implementation effect of the correction scheme is simulated through the BIM model; The scheme is approved to obtain an executable adaptive correction scheme, including: Based on the comprehensive deviation analysis report, the core problem type in the report is identified, and a historical correction scheme set highly matched with the core problem type is retrieved from the historical knowledge base; the retrieved historical scheme set is dynamically matched with the real-time resource state in the digital twin model, and the candidate correction scheme most feasible under the current resource condition is screened out to generate a preliminary correction scheme list; For each candidate scheme in the preliminary correction scheme list, implementation deduction is performed in the digital twin model, including updating the construction progress plan, reallocating resources and adjusting the process logic, and simulating the whole construction process after deduction; the effect of each candidate scheme after implementation is comprehensively evaluated, including the influence on the total construction period, resource consumption, subsequent process and potential risks, and an evaluation report of each candidate scheme is generated; The evaluation reports of each candidate scheme are visualized and presented for project managers to approve the scheme; when the approval is passed, the selected candidate scheme is marked as executable and solidified as a new construction plan; the new plan will automatically update the construction progress, resource allocation and process logic in the digital twin model to form an adaptive correction scheme.

9. The construction data management method for intelligent building electromechanical installation according to claim 1, wherein, The execution of the correction scheme is monitored in real time through the Internet of Things device, and the actual progress is compared with the target of the correction scheme; the implementation effect data of the correction scheme and the corresponding disturbance event are updated to the knowledge base to form reusable experience entries, and the updated BIM model and knowledge base are obtained, including: Real-time data during the execution of the adaptive correction scheme is continuously collected, and the real-time data is compared with the target data in the adaptive correction scheme in real time to calculate the progress deviation rate and resource consumption deviation amount, generate an execution deviation report, trigger a warning mechanism when the execution deviation exceeds a preset threshold, and notify project management personnel for manual processing; After the execution of the adaptive correction scheme is completed, the entire information of the correction scheme is structured, key feature labels are extracted, and stored in the knowledge base to form reusable experience entries. According to the actual execution result of the correction scheme, the final state in the digital twin model is confirmed and solidified, and the completion information, actual resource consumption record and final process logic relationship in the BIM model are updated to ensure that the digital twin model is consistent with the physical entity state, and the updated BIM model and knowledge base are obtained.

10. A construction data management system for intelligent building electromechanical installation, using the construction data management method for intelligent building electromechanical installation according to any one of claims 1-9, characterized in that, Comprise: Data perception and collection module: including RFID data collection unit, video monitoring data collection unit and equipment and environment sensing data unit; wherein the RFID data collection unit automatically identifies components and materials, collects their unique identifiers, specifications, time of entry and inventory quantities; the video monitoring data collection unit collects worker position, work state and safety behavior information; the equipment and environment sensing data unit real-time monitors the running parameters of the equipment and the on-site environment data; Event identification and correlation module: including data preprocessing unit, disturbance event identification unit and model and plan correlation unit; wherein the data preprocessing unit cleans, formats and event extracts the collected raw data, and converts it into a standardized real-time data stream; the disturbance event identification unit compares the standardized data stream with the preset disturbance rule library, and automatically identifies the disturbance event when the data meets the specific conditions; the model and plan correlation unit uses the unique identifier of the component in the BIM model to accurately locate the identified disturbance event to the specific component, and synchronously correlates it to the target process in the construction plan to establish a direct connection between the disturbance and the influence; Influence analysis and scheme generation module: including influence propagation analysis unit, scheme simulation and evaluation unit and scheme approval and solidification unit; wherein the influence propagation analysis unit calculates the chain influence of the disturbance event on the subsequent process progress and resource consumption based on the logical relationship between processes, and generates a comprehensive deviation analysis report; the scheme simulation and evaluation unit simulates the implementation effect of different correction schemes in the digital twin model, evaluates from multiple dimensions of time, cost and risk, and selects the optimal candidate scheme; the scheme approval and solidification unit submits the candidate scheme for approval, and after the approval, solidifies it as a new construction plan, automatically updates the progress, resources and logic in the digital twin model, and forms an adaptive correction scheme; Scheme execution and monitoring module: including scheme execution monitoring unit and deviation warning and intervention unit; wherein the scheme execution monitoring unit tracks the execution progress of the correction scheme in real time, compares the actual data with the scheme target, and timely discovers and warns the execution deviation; the deviation warning and intervention unit automatically triggers the warning mechanism when the execution deviation exceeds the preset threshold, and notifies the management personnel for manual processing; The knowledge depositing and model updating module comprises an experience knowledge unit and a model state synchronization unit; the experience knowledge unit performs structured processing on the current disturbance event, the correction scheme and the implementation effect, extracts key feature labels, and stores them as new experience entries in the knowledge base, so as to realize accumulation and reuse of knowledge; the model state synchronization unit confirms and solidifies the final state of the digital twin model according to the actual execution result of the correction scheme, updates the completion information, actual resource consumption and process logic in the BIM model, and ensures that the digital twin is completely consistent with the physical entity.

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