Digital construction management system based on BIM

Abstract

The invention relates to the technical field of building management, in particular to a digital building management system based on BIM, and the system comprises a data collection module which collects the worker position information, equipment operation parameters and environment monitoring data of a construction site, and obtains a site data set; and performing time sorting and space mapping on the worker position information and the equipment operation parameters in the field data set to generate construction state data. In the invention, aiming at the problems that a project management mode is extensive, the digital management degree is not high and the business process is not efficient enough, the construction activity record can be generated by tracking and analyzing the positions of workers and equipment on the construction site, and the transparency and the execution efficiency are improved. Through comprehensive comparison of construction records and BIM model data, project monitoring is more accurate, and activities deviating from a predetermined plan can be found in time, so that resource configuration and work arrangement are rapidly adjusted, and it is guaranteed that the project is completed on schedule. The intelligent matching of the acquired material position information and the demand data reduces the material waste, optimizes the cost management, and improves the resource utilization rate at the same time.

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 construction projects.

[0003] In existing technologies, material management has not been automated and lacks real-time data update and resource matching functions, which is particularly problematic in complex or large projects, often leading to improper resource allocation and unnecessary cost increases. In terms of risk assessment, over-reliance on experience makes it difficult to detect potential risks in a timely manner, increasing the risk of project delays and budget overruns. Summary of the invention

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

[0005] In order to achieve the above object, the present invention adopts the following technical solution: A BIM-based digital construction management system includes:

[0006] The data collection module collects worker location information, equipment operating parameters and environmental monitoring data at the construction site to obtain a field data set; 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;

[0007] The construction log module 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;

[0008] The material management module collects the RFID location information of the material and obtains the material location data; matches the material location data with the material demand data in the construction plan and generates a material allocation plan;

[0009] The risk warning module 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 value to generate a risk warning indicator.

[0010] Preferably, the steps of acquiring the construction status data are:

[0011] Collect worker location information, equipment operating parameters and environmental monitoring data at the construction site to form a field data set;

[0012] Based on the field data set, the field data set is time-sorted and spatially mapped, and the construction status score is calculated. The calculation formula is:

[0013]

[0014] 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 involved in the calculation;

[0015] Based on the construction status score, worker positions and equipment operating parameters are integrated to generate construction status data.

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

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

[0018] Based on the preliminary screening data, the interaction intensity between workers and equipment is calculated using the following formula:

[0019]

[0020] Where 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 kth device under the jth parameter, and m is the number of evaluation parameters;

[0021] Based on the interaction intensity, the construction activities are identified, and the construction activity records are extracted to obtain the construction activity records.

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

[0023] 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 construction activity progress data;

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

[0025] The completion time and workload in the construction activity progress data are compared item by item with the planned progress data, the time deviation and workload difference of each engineering stage are analyzed, and a construction progress report is generated.

[0026] Preferably, the steps for obtaining the material preparation scheme are:

[0027] 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;

[0028] Based on the material location data set, the distance between the material location and the construction area is calculated using the following formula:

[0029]

[0030] Where 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;

[0031] 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.

[0032] Preferably, the step of obtaining the progress deviation value is:

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

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

[0035]

[0036] Among them, 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 stages evaluated;

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

[0038] Preferably, the steps for obtaining the risk warning indicator are:

[0039] Extract the comparison data between the completion status of each project stage and the predetermined target to form a progress deviation data set;

[0040] Set thresholds based on industry standards and project performance.

[0041] Preferably, the step of acquiring the risk warning indicator further comprises: comparing the data in the progress deviation data set with the threshold value item by item, marking the project stage exceeding the threshold value as high risk, and generating the risk warning indicator according to the marking.

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

[0043] In the present invention, by tracking and analyzing the location of workers and equipment at the construction site, a record 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 planned activities, 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. The automatic analysis of progress and resource data provides data support for risk management, realizing early identification and rapid response to project risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0046] See also Figure 1 The present invention provides a technical solution: a BIM-based digital construction management system comprising:

[0047] The data collection module collects the worker location information, equipment operating parameters and environmental monitoring data at the construction site to obtain the on-site data set; performs time sorting and spatial mapping on the worker location information and equipment operating parameters in the on-site data set to generate construction status data;

[0048] The construction log module 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;

[0049] The material management module collects the RFID location information of materials and obtains the material location data; matches the material location data with the material demand data in the construction plan and generates a material allocation plan;

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

[0051] Specifically, by tracking and analyzing the location 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 planned schedule, so as to quickly adjust 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. The automatic analysis of progress and resource data provides data support for risk management, realizing early identification and rapid response to project risks.

[0052] The steps to obtain construction status data are as follows:

[0053] Collect worker location information, equipment operating parameters and environmental monitoring data at the construction site to form a field data set;

[0054] Based on the field data set, the field data set is time-sorted and spatially mapped, and the construction status score is calculated. 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 involved in the calculation;

[0057] Based on the construction status score, the construction status data is generated by integrating the worker location and equipment operation parameters.

[0058] Specifically, the worker location information, equipment operating parameters and environmental monitoring data at the construction site are collected. Various sensor devices are deployed on site, such as GPS locators, to obtain the real-time location of workers. Equipment operating parameters are uploaded to the central monitoring system in real time through connected IoT devices. Environmental monitoring data is collected by environmental sensors such as thermometers and hygrometers. These data undergo preliminary filtering and correction to ensure their accuracy and reliability. They are then sent to the central database for storage and further analysis to form a collection of on-site data.

[0059] The benefit of the formula is that it effectively enhances the flexibility of data processing and the sensitivity of responding to field changes by introducing an exponential decay factor and the square root of the weight for normalization. j The setting basis is the importance of each parameter change on the construction. According to the analysis of past construction data, d ij is obtained through real-time monitoring, μ j and σ j It is the average value and standard deviation calculated based on the data of the past period, and n is the number of parameters currently monitored;

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

[0061]

[0062] The result shows that the construction status score is 1.11, which reflects the degree of deviation between the data of the current monitoring point and the average status. A higher score may indicate that there are potential problems at the monitoring point in the construction site that need attention.

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

[0064] The steps to obtain construction activity records are:

[0065] Based on the construction status data, the worker location information and equipment operation parameter data are screened to obtain preliminary screening data;

[0066] Based on the preliminary screening data, the interaction intensity between workers and equipment is calculated using the following formula:

[0067]

[0068] Where 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 kth device under the jth parameter, and m is the number of evaluation parameters;

[0069] Based on the interaction intensity, the construction activities are identified, the construction activity records are extracted, and the construction activity records are obtained.

[0070] Specifically, based on the construction status data, we screen out key data sets including worker location information and equipment operating parameters, ensuring that each data point accurately reflects its corresponding entity information, such as using data tags to distinguish the unique identifiers of each worker and equipment. At the same time, we also need to ensure the timeliness of the data so that subsequent processing and analysis can be performed on a real-time or near real-time basis, thus forming preliminary screening data;

[0071] The benefit of the formula is that it provides a numerical value that can directly reflect the efficiency of human-machine interaction, allowing the layout of equipment and the configuration 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 ith worker under the jth parameter, which may be, for example, the location coordinates of the worker at a specific time point or the frequency of use of a certain device, p kj Represents the data of the kth device under the jth parameter, such as the operating status or failure rate of the device. m is the number of evaluation parameters, including location accuracy, device operating frequency, etc. These data are obtained through scene monitoring and real-time collection of device sensors;

[0072] Calculation process: There are 5 evaluation parameters m = 5. For a worker i and a device k, the r of each parameter ij and p kj They are as follows:

[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] Summing the products gives

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

[0086]

[0087] This result shows that the worker-device interaction intensity is 0.7, and a higher interaction intensity may indicate that the worker frequently interacts with the device;

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

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

[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 construction activity progress data;

[0091] Regularly export preset project phase completion targets and planned start and end dates of the project phases from the BIM model database to form 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 in each project stage, and generate a construction progress report.

[0093] Specifically, at the construction site, positioning sensors and surveillance cameras are installed to capture the location and operating status of workers and equipment. At the same time, the preset completion targets of each engineering stage, including the expected start and end dates, are extracted from the BIM model database through scheduled data capture tasks on a regular basis, including the export of engineering stage 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 of each stage.

[0094] The work progress is compared item by item with the planned data. First, it starts with matching the actual completed project stages with the predetermined plan, calculating the difference between the workload completed in each stage and the estimated workload. The completion time is also compared and analyzed to identify the workload deviation and time delay of each stage. These deviation data are analyzed item by item and summarized into a construction progress report.

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

[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 data set, the distance between the material location and the construction area is calculated using the following formula:

[0098]

[0099] Where 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, scan the RFID tags on the materials to collect and record the location information of each material and obtain the material location data set. This includes selecting appropriate RFID tags and reading devices, ensuring that the tag coverage and reading frequency can meet the environmental requirements of the construction site, and the tags should be attached to all materials and tested to verify the accuracy and real-time nature of the data. After completing these preparations, RFID can begin its function, continuously tracking the specific location of each material and forming a material location data set.

[0102] In the formula, x m ,y mThe steps to obtain the parameters are to use the RFID tags installed on the materials and use GPS positioning to determine their coordinates at the construction site. p ,y p The parameters are the coordinates of the construction points, which are obtained from the engineering planning map before construction;

[0103] Calculation process: There is a material point with coordinates (2,3) and a construction point with coordinates (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, the material should be allocated to the construction point first.

[0105] Based on the calculated distance, the material location data is matched with the material demand data in the construction plan, and the materials closest to the construction site are allocated first to generate a material allocation plan. When performing this step, it is necessary to consider the specific needs of the construction site, such as the demand for certain specific materials and the urgency of their use. During the matching process, the database query function is used to check the type and quantity of materials required for each construction site. Combined with the distance data calculated previously, the material allocation order is prioritized and an allocation plan is formulated.

[0106] The steps to obtain the progress deviation value are:

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

[0108] Based on the integrated progress and resource data, the progress deviation value of the progress and resources is calculated using the following formula:

[0109]

[0110] Among them, 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 stages evaluated;

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

[0112] Specifically, the data from the construction progress report and the material allocation plan are integrated. First, the construction progress report is checked to identify the completion ratio of each stage. Next, the material allocation plan is reviewed to determine the distribution and usage of each material. Through these two steps, it is ensured that the collected data reflects the actual construction situation and material usage. Subsequently, the two types of data are compared and analyzed using database queries to identify inconsistencies between material usage and progress records.

[0113] The benefit of the formula is that it allows the identification of stages that deviate from the plan, so that timely corrective measures can be taken; ΔP represents the progress deviation value, which is calculated based on the comparison between the actual progress and the planned progress. actual,i Represents the progress of the i-th stage. planned,i represents the planned progress of the i-th phase, which is set by the engineering management software during the project planning stage. k is the total number of phases to be evaluated. This parameter is determined by the total number of engineering phases of the project and is usually determined at the beginning of the project.

[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] The result shows that considering all stages comprehensively, the overall progress deviation value of the project is 0.3167, indicating that there is a small deviation between the overall project progress and the plan. It is necessary to pay attention to the third stage with a larger deviation and take measures to correct the progress that deviates from the plan.

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

[0118] The steps to obtain 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 progress deviation data set;

[0120] Set thresholds based on industry standards and project performance;

[0121] The data in the progress deviation data set are compared with the thresholds item by item, and the project stages that exceed the thresholds are marked as high risk. Risk warning indicators are generated based on the markings.

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

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

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

Claims

1. A BIM-based digital construction management system, characterized in that: The system comprises: The data collection module collects worker location information, equipment operating parameters and environmental monitoring data at the construction site to obtain a field data set; 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; The construction log module 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; The material management module collects the RFID location information of the material and obtains the material location data; matches the material location data with the material demand data in the construction plan and generates a material allocation plan; The risk warning module 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 value to generate a risk warning indicator.

2. The BIM-based digital construction management system according to claim 1, characterized in that: The steps for obtaining the construction status data are as follows: Collect worker location information, equipment operating parameters and environmental monitoring data at the construction site to form a field data set; Based on the field data set, the field data set is time-sorted and spatially mapped, and the construction status score is calculated. The calculation formula is: 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 involved in the calculation; Based on the construction status score, worker positions and equipment operating parameters are integrated to generate construction status data.

3. The BIM-based digital construction management system according to claim 1, characterized in that: The steps for obtaining the construction activity record are as follows: Based on the construction status data, filter the data of worker location information and equipment operation parameters to obtain preliminary screening data; Based on the preliminary screening data, the interaction intensity between workers and equipment is calculated using the following formula: Where 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 kth device under the jth parameter, and m is the number of evaluation parameters; Based on the interaction intensity, the construction activities are identified, and the construction activity records are extracted to obtain the construction activity records.

4. The BIM-based digital construction management system according to claim 1, characterized in that: The steps for obtaining the construction progress report are as follows: 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 construction activity progress data; Regularly export preset project phase completion targets and planned start and end dates of the project phases from the BIM model database to form planned progress data; The completion time and workload in the construction activity progress data are compared item by item with the planned progress data, the time deviation and workload difference of each engineering stage are analyzed, and a construction progress report is generated.

5. The BIM-based digital construction management system according to claim 1, characterized in that: The steps for obtaining the material preparation scheme 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, the distance between the material location and the construction area is calculated using the following formula: Where 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; 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.

6. The BIM-based digital construction management system according to claim 1, characterized in that: The steps for obtaining the progress deviation value are as follows: Integrate the data in the construction progress report and the material allocation plan, extract data related to the completion progress and material usage, and obtain integrated progress and resource data; Based on the integrated progress and resource data, the progress deviation value of the progress and resources is calculated, and the calculation formula is: Among them, 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 stages evaluated; Based on the progress deviation value, analyze the source and influencing factors of the deviation and form a deviation analysis report.

7. The BIM-based digital construction management system according to claim 1, characterized in that: The steps for obtaining the risk warning indicator are: Extract the comparison data between the completion status of each project stage and the predetermined target to form a progress deviation data set; Set thresholds based on industry standards and project performance.

8. The BIM-based digital construction management system according to claim 1, characterized in that: The step of acquiring the risk warning indicator also includes: comparing the data in the progress deviation data set with the threshold value item by item, marking the project stage exceeding the threshold value as high risk, and generating the risk warning indicator according to the marking.

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