A BIM-based digital construction management system

Abstract

The present invention relates to the field of construction management technology, specifically a digital construction management system based on BIM, the system comprising: a data acquisition module, which collects worker location information, equipment operating parameters and environmental monitoring data at the construction site to obtain a field data set; and performs time sorting and spatial mapping on the worker location information and equipment operating parameters in the field data set to generate construction status data. In the present invention, in order to address the problems of extensive project management models, low levels of digital management and inefficient business processes, by tracking and analyzing the locations of workers and equipment at the construction site, records of construction activities can be generated to improve transparency and execution efficiency. The comprehensive comparison of construction records and BIM model data makes project monitoring more accurate, and can promptly detect activities that deviate from the predetermined plan, thereby quickly adjusting resource allocation and work arrangements to ensure that the project is completed on schedule. The intelligent matching of collected material location information and demand data reduces material waste, optimizes cost management, and improves resource utilization.

Description

Technical Field

[0001] The present invention relates to the technical field of construction management, and in particular, to a digital construction management system based on BIM. Background Art

[0002] A digital construction management system is an integrated software platform that uses information technology to monitor the progress, resources, quality, and costs of a construction project.

[0003] In the prior art, material management fails to achieve automation, lacking real-time data updates and resource matching functions, which is particularly problematic in complex or large projects, often leading to improper resource allocation and increased unnecessary costs. In terms of risk assessment, it overly relies on empirical judgment, making it difficult to detect potential risks in a timely manner, increasing the risks of project delays and budget overruns. Summary of the Invention

[0004] The purpose of the present invention is to solve the drawbacks existing in the prior art, and to propose a digital construction management system based on BIM.

[0005] To achieve the above purpose, the present invention adopts the following technical solution: A digital construction management system based on BIM includes:

[0006] A data acquisition module that collects the position information of workers, equipment operation parameters, and environmental monitoring data at the construction site to obtain a set of on-site data; performs time sorting and spatial mapping on the position information of workers and equipment operation parameters in the set of on-site data to generate construction status data;

[0007] A construction log module that performs correlation analysis on the position information of workers and equipment operation parameters in the construction status data to obtain construction activity records; compares the progress data of the construction activity records with the planned progress data of the BIM model to generate a construction progress report;

[0008] A material management module that collects the RFID position information of materials to obtain material position data; matches the material position data with the material requirement data in the construction plan to generate a material allocation plan;

[0009] A risk warning module that calculates the difference between the progress data and resource data in the construction progress report and the material allocation plan to obtain a progress deviation value; compares the progress deviation value with a preset threshold to generate a risk warning index.

[0010] Preferably, the steps for obtaining the construction status data are as follows:

[0011] Collect the position information of workers, equipment operation parameters, and environmental monitoring data at the construction site to form a set of on-site data;

[0012] Based on the on-site data set, perform time sorting and spatial mapping on the on-site data set, and calculate the construction status score. The calculation formula is:

[0013]

[0014] where S(i) is the construction status score, w j is the weight factor of the jth parameter, d ij is the data of the jth parameter at point i, μ j is the average value of the jth parameter, σ j is the standard deviation of the jth parameter, and n represents the total number of parameters participating in the calculation;

[0015] Based on the construction status score, integrate the worker positions and equipment operation parameters to generate construction status data.

[0016] Preferably, the steps for obtaining the construction activity record are:

[0017] Based on the construction status data, screen the data of the worker position information and equipment operation parameters to obtain the preliminary screening data;

[0018] Based on the preliminary screening data, calculate the interaction intensity between the worker and the equipment. The calculation formula is:

[0019]

[0020] where I(i,k) is the interaction intensity between the ith worker and the kth equipment, r ij is the data of the ith worker under the jth parameter, p kj is the data of the kth equipment under the jth parameter, and m is the number of evaluation parameters;

[0021] Based on the interaction intensity, identify the construction activities, extract the construction activity records, and obtain the construction activity records.

[0022] Preferably, the steps for obtaining the construction progress report are:

[0023] Set up monitoring at the construction site, record the working status of the workers and equipment, summarize the workload and progress information at each time node, and form the construction activity progress data;

[0024] Regularly export the preset project stage completion goals and the planned start and end dates of the project stage from the database of the BIM model to form the planned progress data;

[0025] Compare the completion time and workload in the construction activity progress data with the planned progress data item by item, analyze the time deviation and workload difference of each project stage, and generate the construction progress report.

[0026] Preferably, the steps for obtaining the material allocation plan are as follows:

[0027] Deploy RFID tags on the construction materials, scan the RFID tags on the construction materials, collect and record the location information of each construction material, and obtain a material location data set.

[0028] Based on the material location data set, calculate the distance between the material location and the construction area. The calculation formula is:

[0029]

[0030] where D(m,p) is the distance between material m and construction point p, x m , y m are the coordinates of material m, and x p , y p are the coordinates of construction point p.

[0031] Based on the calculated distance, match the material location data with the material requirement data in the construction plan, allocate the material closest to the construction point, and generate a material allocation plan.

[0032] Preferably, the steps for obtaining the progress deviation value are as follows:

[0033] Integrate the data in the construction progress report and the material allocation plan, respectively extract the data related to the completion progress and material usage, and obtain the integrated progress and resource data.

[0034] Based on the integrated progress and resource data, calculate the progress deviation value of the progress and resources. The calculation formula is:

[0035]

[0036] where ΔP represents the progress deviation value, P actual,i represents the progress of the i-th stage, P planned,i represents the planned progress of the i-th stage, and k is the total number of evaluated stages.

[0037] Based on the progress deviation value, analyze the sources and influencing factors of the deviation, and form a deviation analysis report.

[0038] Preferably, the steps for obtaining the risk warning index are as follows:

[0039] Extract the comparison data between the completion situation of each project stage and the predetermined target, and form a progress deviation data set.

[0040] Set a threshold according to industry standards and project performance.

[0041] Preferably, the step of obtaining the risk warning index further includes: comparing the data in the progress deviation dataset with the threshold item by item, marking the project phases exceeding the threshold as high risks, and generating risk warning indexes according to the marks.

[0042] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0043] In the present invention, by tracking and analyzing the positions of workers and equipment at the construction site, construction activity records can be generated, improving transparency and execution efficiency. The comprehensive comparison of construction records and BIM model data makes project monitoring more accurate, enabling the timely discovery of activities deviating from the planned schedule, thereby quickly adjusting resource allocation and work arrangements to ensure the project is completed on schedule. The intelligent matching of the collected material position information and demand data reduces material waste, optimizes cost management, and improves resource utilization rate at the same time. The automatic analysis of progress and resource data provides data support for risk management, realizing the early identification and rapid response of project risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a system flowchart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0046] Please refer to Figure 1 , the present invention provides a technical solution: a BIM-based digital construction management system includes:

[0047] [[ID=2D]]A data collection module that collects the position information of workers, equipment operation parameters, and environmental monitoring data at the construction site to obtain a set of on-site data; performs time sorting and spatial mapping on the position information of workers and equipment operation parameters in the set of on-site data to generate construction status data;

[0048] A construction log module that performs correlation analysis on the position information of workers and equipment operation parameters in the construction status data to obtain construction activity records; compares the progress data of the construction activity records with the planned progress data of the BIM model to generate a construction progress report;

[0049] A material management module that collects the RFID position information of materials to obtain material position data; matches the material position data with the material demand data in the construction plan to generate a material allocation plan;

[0050] The risk warning module calculates the differences in the progress data and resource data in the construction progress report and the material allocation plan to obtain the progress deviation value, and compares the progress deviation value with a preset threshold to generate a risk warning index.

[0051] Specifically, by tracking and analyzing the positions of workers and equipment at the construction site, construction activity records can be generated, improving transparency and execution efficiency. The comprehensive comparison of construction records and BIM model data makes project monitoring more accurate, enabling the timely discovery of activities deviating from the planned schedule, thus quickly adjusting resource allocation and work arrangements to ensure the project is completed on schedule. The intelligent matching of the collected material location information and demand data reduces material waste, optimizes cost management, and improves resource utilization at the same time. The automatic analysis of progress and resource data provides data support for risk management, realizing the early identification and rapid response of project risks.

[0052] The steps for obtaining construction status data are as follows:

[0053] Collect the worker position information, equipment operation parameters, and environmental monitoring data at the construction site to form a field data set.

[0054] Based on the field data set, perform time sorting and spatial mapping on the field data set, and calculate the construction status score. The calculation formula is:

[0055]

[0056] Among them, S(i) is the construction status score, w j is the weight factor of the jth parameter, d ij is the data of the jth parameter at point i, μ j is the average value of the jth parameter, σ j is the standard deviation of the jth parameter, and n represents the total number of parameters participating in the calculation.

[0057] Based on the construction status score, integrate the worker position and equipment operation parameters to generate construction status data.

[0058] Specifically, collect the worker position information, equipment operation parameters, and environmental monitoring data at the construction site. Through various sensing devices deployed on-site, for example, GPS locators are used to obtain the real-time positions of workers, and the equipment operation parameters are uploaded to the central monitoring system in real-time through connected IoT devices. The environmental monitoring data is collected by environmental sensors such as thermometers and hygrometers. These data are preliminarily filtered and corrected to ensure the accuracy and reliability of the data, and then the data is sent to the central database for storage and further analysis to form a field data set.

[0059] The benefit of the formula is that by introducing an exponential decay factor and the square root of the weight for normalization, it effectively enhances the flexibility of data processing and the sensitivity to changes on-site; among them, w j is set based on the importance of the change of each parameter to the construction impact, obtained from the analysis of past construction data, d ij is obtained through real-time monitoring, μ j and σ j are the mean and standard deviation calculated based on the data over a past period of time, and n is the number of parameters currently monitored;

[0060] Calculation process: Set w j to 0.5, d ij to 50, μ j to 45, σ j to 5, n to 3, and the calculation process is as follows:

[0061]

[0062] The result shows that the construction status score is 1.11, reflecting the deviation degree of the data at the current monitoring point from the average state. A higher score may indicate potential problems at the construction site at this monitoring point that need attention.

[0063] Based on the construction status score and the score obtained through analysis, compare the score with the preset safety and efficiency standards to identify possible problem areas or equipment failure points. This information is used to adjust the work process and resource allocation, optimize the construction plan, ensure that the construction activities are carried out in accordance with the established safety standards, and form construction status data.

[0064] The steps to obtain the construction activity record are as follows:

[0065] Based on the construction status data, screen the data of the worker location information and equipment operation parameters to obtain the preliminary screening data;

[0066] Based on the preliminary screening data, calculate the interaction intensity between the worker and the equipment. The calculation formula is:

[0067]

[0068] Among them, I(i,k) is the interaction intensity between the i-th worker and the k-th equipment, r ij is the data of the i-th worker under the j-th parameter, p kj is the data of the k-th equipment under the j-th parameter, and m is the number of evaluation parameters;

[0069] Based on the interaction intensity, identify the construction activities, extract the construction activity records, and obtain the construction activity records.

[0070] Specifically, based on the construction status data, a key data set containing the location information of workers and the operating parameters of equipment is screened to ensure that each data point accurately reflects the corresponding entity information. For example, the unique identifiers of each worker and equipment are distinguished through data tags. At the same time, the timeliness of the data is ensured so that subsequent processing and analysis can be carried out on a real-time or near-real-time basis, forming the preliminary screened data;

[0071] The benefit of the formula is that it provides a value that can directly reflect the human-machine interaction efficiency, allowing the layout of equipment and the allocation of manpower to be optimized in practical applications to improve construction efficiency; the calculation of the interaction intensity I(i,k) involves multiple parameters: r ij represents the data of the i-th worker under the j-th parameter, such as the position coordinates of the worker at a specific time point or the usage frequency of a certain piece of equipment, p kj represents the data of the k-th equipment under the j-th parameter, such as the operating status or failure rate of the equipment. m is the number of evaluation parameters, including position accuracy, equipment operating frequency, etc. These data are obtained through real-time collection by scenario monitoring and equipment sensors;

[0072] Calculation process: There are 5 evaluation parameters m = 5. For a worker i and an equipment k, the r ij and p kj are as follows respectively:

[0073] r i1 = 0.5, p k1 = 0.3

[0074] r i2 = 0.4, p k2 = 0.2

[0075] r i3 = 0.6, p k3 = 0.4

[0076] r i4 = 0.7, p k4 = 0.5

[0077] r i5 = 0.3, p k5 = 0.1

[0078] Calculate each r ij ·p kj :

[0079] r i1 ·p k1 = 0.5 × 0.3 = 0.15

[0080] r i2 ·p k2= 0.4 × 0.2 = 0.08

[0081] r i3 ·p k3 = 0.6 × 0.4 = 0.24

[0082] r i4 ·p k4 = 0.7 × 0.5 = 0.35

[0083] r i5 ·p k5 = 0.3 × 0.1 = 0.03

[0084] Sum the products to obtain

[0085] = 0.15 + 0.08 + 0.24 + 0.35 + 0.03 = 0.85. Substitute this result into the formula:

[0086]

[0087] This result indicates that the interaction intensity between the worker and the equipment is 0.7. A relatively high interaction intensity may indicate that the worker interacts with the equipment frequently;

[0088] The identified key construction activities are obtained based on the interaction intensity analysis. In this process, it mainly involves comparing the interaction intensity data with the preset activity identification criteria. For example, setting a threshold to determine which interaction frequencies indicate important construction activities. Through such analysis, the worker behavior patterns related to high-frequency or key equipment interactions can be further extracted. Once these patterns are identified, they can be recorded in the construction activity record, providing real-time dynamic feedback and improvement suggestions for construction management, thus forming the construction activity record.

[0089] The steps to obtain the construction progress report are as follows:

[0090] Set up monitoring at the construction site to record the working status of workers and equipment, summarize the workload and progress information at each time node, and form the construction activity progress data;

[0091] Regularly export the preset project phase completion goals and the planned start and end dates of the project phases from the database of the BIM model to form the planned progress data;

[0092] Compare the completion time and workload in the construction activity progress data with the planned progress data item by item, analyze the time deviation and workload difference of each project phase, and generate the construction progress report.

[0093] Specifically, positioning sensors and surveillance cameras are installed at the construction site to capture the location and operating status of workers and equipment. Simultaneously, scheduled data capture tasks are regularly used to extract the preset completion targets for each project phase from the BIM model database, including the expected start and end dates. This includes exporting the project phase information corresponding to the current date from the BIM database and comparing it with the construction plan document to ensure that the captured data set includes the work indicators and quality standards for each phase.

[0094] The execution of work progress and planned data is compared item by item, starting with matching the actual completed project stages with the predetermined plan, calculating the difference between the workload completed in each stage and the expected workload, and also comparing and analyzing the completion time to identify the workload deviation and time delay of each stage. After analyzing these deviation data item by item, they are summarized into a construction progress report.

[0095] The steps to obtain the material allocation plan are:

[0096] Deploy RFID tags on construction materials, scan the RFID tags on the construction materials, collect and record the location information of each construction material, and obtain a material location data set;

[0097] Based on the material location dataset, the distance between the material location and the construction area is calculated using the following formula:

[0098]

[0099] Among them, D(m,p) is the distance between material m and construction point p, x m ,y m is the coordinate of material m, x p ,y p is the coordinate of the construction point p;

[0100] Based on the calculated distance, the material location data is matched with the material demand data in the construction plan, the materials closest to the construction point are allocated, and a material allocation plan is generated.

[0101] Specifically, RFID tags attached to materials are scanned to collect and record the location information of each material, generating a material location dataset. This involves selecting appropriate RFID tags and reading equipment, ensuring that the tag coverage and reading frequency meet the environmental requirements of the construction site. Tags should be attached to all materials and tested to verify the accuracy and real-time nature of the data. Once these preparations are completed, RFID can begin its function, continuously tracking the specific location of each material and forming a material location dataset.

[0102] In the formula, x m ,y mThe steps to obtain the parameters are as follows: Determine the coordinate position of the material on the construction site through the RFID tag installed on the material and using GPS positioning, x p , y p The parameter is the coordinate of the construction point, which is obtained from the engineering planning drawing before construction;

[0103] Calculation process: The coordinate of a material point is (2, 3), and the coordinate of the construction point is (5, 7), then:

[0104] The result shows that the straight-line distance between the material point and the construction point is 5 meters. If this distance is the smallest among all materials, this material should be preferentially allocated to this construction point.

[0105] Based on the calculated distance, match the material location data with the material requirement data in the construction plan, preferentially allocate the materials closest to the construction point, and generate a material allocation plan. When implementing this step, the specific requirements of the construction point need to be considered, such as the demand quantity of certain specific materials and their urgency of use. During the matching process, use the database query function to check the types and quantities of materials required for each construction point, and combine the previously calculated distance data to prioritize the allocation order of materials and formulate an allocation plan.

[0106] The steps to obtain the schedule deviation value are as follows:

[0107] Integrate the data in the construction progress report and the material allocation plan, extract the data related to the completion progress and material usage respectively, and obtain the integrated progress and resource data;

[0108] Based on the integrated progress and resource data, calculate the schedule deviation value of the progress and resources. The calculation formula is:

[0109]

[0110] Among them, ΔP represents the schedule deviation value, P actual,i represents the progress of the i-th stage, P planned,i represents the planned progress of the i-th stage, and k is the total number of evaluated stages;

[0111] Based on the schedule deviation value, analyze the sources and influencing factors of the deviation, and form a deviation analysis report.

[0112] Specifically, integrate the data in the construction progress report and the material allocation plan. First, check the construction progress report to identify the completion percentage of each stage. Then, review the material allocation plan to determine the allocation and usage of each material. Through these two steps, ensure that the collected data reflects the actual construction situation and material consumption. Subsequently, use database queries to conduct a comparative analysis of the two types of data to identify inconsistencies between material usage and progress records.

[0113] The benefit of the formula is that it allows for the identification of stages that deviate from the plan, enabling timely corrective actions to be taken; ΔP represents the schedule deviation value, which is calculated based on the comparison between the actual progress and the planned progress. P actual,i represents the progress of the i-th stage. P planned,i represents the planned progress of the i-th stage, which is set through project management software during the project planning phase. k is the total number of stages to be evaluated, and this parameter is determined by the total number of engineering stages of the project and is usually determined at the initial stage of project startup.

[0114] Calculation process: A project has three stages, with planned progress of 30%, 50%, and 20% respectively, and actual progress of 25%, 55%, and 15% respectively; substituting into the formula, the calculation process is as follows:

[0115]

[0116] This result indicates that considering all stages comprehensively, the overall schedule deviation value of the project is 0.3167, indicating that there is a small deviation between the overall project progress and the plan. Attention needs to be paid to the third stage with a relatively large deviation, and measures should be taken to correct the progress that deviates from the plan.

[0117] Based on the calculated schedule deviation value, analyze the sources and influencing factors of the deviation. First, determine the statistical significance of the deviation value through statistical analysis. Then, analyze project management records and site logs to identify the operations or decisions that led to the deviation. In addition, consider external factors such as weather conditions and supply chain issues that may affect the construction progress.

[0118] The steps to obtain the risk warning indicators are as follows:

[0119] Extract the comparison data between the completion status of each project stage and the predetermined target to form a schedule deviation data set;

[0120] Set thresholds according to industry standards and project performance;

[0121] Compare the data in the schedule deviation data set with the thresholds item by item, mark the project stages that exceed the thresholds as high-risk, and generate risk warning indicators based on the marks.

[0122] Specifically, record the actual completion data and the predetermined goals for each project phase, analyze the progress of each phase one by one, record the progress that exceeds or fails to meet the expectations. Next, summarize and organize these data, calculate the percentage difference between the actual progress and the predetermined progress. Such analysis helps to identify the specific phases that cause the differences and form a complete set of schedule deviation data.

[0123] Set thresholds based on industry standards and project historical performance. First, analyze historical project data, including completion time, cost overruns, quality issues, etc., and extract statistical indicators from them. Combine the standard practices in the industry to determine a schedule deviation threshold that can reflect the project success rate. This threshold defines the acceptable range of schedule deviation and is used for subsequent project evaluations. For example, if the industry standard schedule deviation is ±10%, then set this value as the safety threshold to evaluate whether the project is on the right track.

[0124] Compare the formed schedule deviation data set with the set threshold. Compare the progress of each phase with the threshold item by item to identify the data points that exceed the preset range. In this process, directly record each project phase that exceeds the threshold and mark these data points as risks. Combine these risk marks to generate risk warning indicators to provide risk indications for the project management team.

Claims

1. A BIM-based digital construction management system, characterized in that, The system includes: A data acquisition module that collects the worker location information, equipment operation parameters, and environmental monitoring data at the construction site to obtain a set of on-site data; performs time sorting and spatial mapping on the worker location information and equipment operation parameters in the on-site data set to generate construction status data; A construction log module that performs correlation analysis on the worker location information and equipment operation parameters in the construction status data to obtain construction activity records; compares the progress data of the construction activity records with the planned progress data of the BIM model to generate a construction progress report; A material management module that collects the RFID location information of materials to obtain material location data; matches the material location data with the material requirement data in the construction plan to generate a material allocation plan; A risk warning module that calculates the difference between the progress data and resource data in the construction progress report and the material allocation plan to obtain a progress deviation value; compares the progress deviation value with a preset threshold to generate a risk warning index; The steps for obtaining the construction status data are as follows: Collect the worker location information, equipment operation parameters, and environmental monitoring data at the construction site to form a set of on-site data; Based on the on-site data set, perform time sorting and spatial mapping on the on-site data set, and calculate the construction status score. The calculation formula is: Among them, S(i) is the construction status score, w j is the weight factor of the j-th parameter, d ij is the data of the j-th parameter at point i, μ j is the average value of the j-th parameter, σ j is the standard deviation of the j-th parameter, and n represents the total number of parameters participating in the calculation; Based on the construction status score, comprehensively consider the worker location and equipment operation parameters to generate construction status data; The steps for obtaining the construction activity records are as follows: Based on the construction status data, filter the data of the worker location information and equipment operation parameters to obtain preliminary filtered data; Based on the preliminary filtered data, calculate the interaction intensity between workers and equipment. The calculation formula is: Among them, I(i,k) is the interaction intensity between the i-th worker and the k-th device, r ij is the data of the i-th worker under the j-th parameter, p kj is the data of the k-th device under the j-th parameter, and m is the number of evaluation parameters; Based on the interaction intensity, identify construction activities, extract construction activity records to obtain construction activity records; The steps for obtaining the progress deviation value are as follows: Integrate the data in the construction progress report and the material allocation plan, and respectively extract the data of the associated completed progress and material usage to obtain the integrated progress and resource data; Based on the integrated progress and resource data, calculate the progress deviation value of the progress and resources. The calculation formula is: where ΔP represents the schedule deviation value, and P actual,i represents the schedule of the i-th phase, P planned,i represents the planned progress of the i-th stage, and k is the total number of stages for evaluation; Based on the progress deviation value, analyze the source and influencing factors of the deviation to form a deviation analysis report; The steps for obtaining the risk warning index are as follows: Extract the comparison data between the completion situation of each project stage and the predetermined target to form a progress deviation data set; Set the threshold according to industry standards and project performance; The steps for obtaining the risk warning index further include: comparing the data in the progress deviation data set with the threshold item by item, marking the project stages that exceed the threshold as high-risk, and generating a risk warning index based on the marks.

2. The BIM-based digital construction management system according to claim 1, wherein The steps for obtaining the construction progress report are as follows: Set up monitoring at the construction site, record the working status of workers and equipment, summarize the workload and progress information at each time node to form construction activity progress data; Regularly export the preset project stage completion targets and the planned start and end dates of the project stages from the database of the BIM model to form planned progress data; Compare the completion time and workload in the construction activity progress data item by item with the planned progress data, analyze the time deviation and workload difference of each engineering stage, and generate a construction progress report.

3. The digital construction management system based on BIM according to claim 1, characterized in that, The steps for obtaining the material allocation plan are as follows: Deploy RFID tags on construction materials, scan the RFID tags on the construction materials, collect and record the location information of each construction material, and obtain a material location data set; Based on the material location data set, calculate the distance between the material location and the construction area. The calculation formula is: where D(m,p) is the distance between material m and construction point p, x m , y m are the coordinates of material m, and x p , y p are the coordinates of construction point p; Based on the calculated distance, match the material location data with the material requirement data in the construction plan, allocate the materials closest to the construction point, and generate a material allocation plan.

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