Engineering safety management method and system based on BIM model

Abstract

The invention provides an engineering safety management method and system based on a BIM model, and relates to the technical field, and the method comprises the steps: obtaining engineering information, constructing an engineering BIM model, carrying out the monitoring region division of the engineering BIM model, obtaining an engineering model monitoring region, and obtaining the region group association information; calculating an area scheme influence coefficient to obtain a risk area, and calculating a type influence coefficient of each engineering monitoring type to obtain a risk type; calculating an engineering cumulative risk influence coefficient, comparing the engineering cumulative risk influence coefficient with a preset cumulative influence threshold value, obtaining cumulative risk judgment of the engineering BIM model, and further obtaining risk influence early warning information; according to the risk early warning information, the abnormal risk monitoring type and the risk area information, reversely obtaining the wind direction source information, and adjusting the risk source information until the risk early warning information does not exist, the method can comprehensively and accurately identify and evaluate the potential risk in the project, and realizes real-time monitoring and effective early warning.

Description

Technical Field

[0001] The present invention proposes an engineering safety management method and system based on a BIM model, and relates to the technical field of safety management, and in particular to the technical field of engineering safety management based on a BIM model. Background Art

[0002] Traditional engineering safety management methods often rely on manual inspections and empirical judgments, which is not only inefficient, but also difficult to fully and accurately identify and assess potential risks in the project. Especially in large and complex engineering projects, due to the many construction links and many parties involved, traditional safety management methods often find it difficult to achieve real-time monitoring and effective early warning, resulting in frequent safety accidents and posing serious threats to the safety of life and property. Traditional engineering safety management methods are difficult to effectively monitor and adjust the impact of hazardous sources in the project area step by step, resulting in heavy losses once safety problems occur in the project, and it is difficult to trace and adjust the hazardous sources. Summary of the invention

[0003] The present invention provides a project safety management method and system based on the BIM model to solve the above problems:

[0004] The present invention proposes a method and system for engineering safety management based on a BIM model, the method comprising:

[0005] S1. Acquire engineering information, construct an engineering BIM model according to the engineering information, divide the engineering BIM model into monitoring areas according to classification information of the engineering information, obtain monitoring areas of the engineering model, and then obtain regional group association information;

[0006] S2. Preview the scheme for each project model monitoring area, calculate its regional scheme impact coefficient, compare it with the preset coefficient threshold, obtain the risk area, calculate the type impact coefficient of each project monitoring type, and obtain the risk type;

[0007] S3. Calculate the cumulative risk impact coefficient of the project, compare it with the preset cumulative impact threshold, obtain the cumulative risk judgment of the project BIM model, and then obtain risk impact warning information;

[0008] S4. Reversely obtain wind direction source information based on risk warning information, abnormal risk monitoring types and risk area information, and adjust the risk source information until there is no risk warning information.

[0009] Furthermore, the S1 includes:

[0010] Acquire real-time information and historical information of the project, pre-process the real-time information and historical information of the project, and obtain pre-processed information;

[0011] Acquire preprocessed historical information, and construct a project BIM model according to the preprocessed historical information;

[0012] Divide the BIM model into monitoring areas according to the type of engineering monitoring to obtain an engineering model monitoring area group;

[0013] An association relationship is established for each engineering model monitoring area of ​​the engineering model monitoring area group to obtain area group association information.

[0014] Further, the S2 includes:

[0015] Obtain the construction plan for each monitoring area of ​​the engineering model, perform a plan preview through the BIM model according to the construction plan, and obtain regional plan preview data;

[0016] Calculate the regional plan impact coefficient based on the regional plan preview data;

[0017] Comparing the impact coefficient of the regional plan with a preset coefficient threshold to obtain an impact comparison result;

[0018] Performing regional risk assessment based on the impact comparison results to obtain regional risk assessment results;

[0019] Acquire all risk areas of each area group associated information according to the area risk determination result;

[0020] Calculate the average of the regional scheme impact coefficients of all risk areas of each regional group association information to obtain the type impact coefficient of each engineering monitoring type;

[0021] Comparing the category influence coefficient with a preset category threshold to obtain a category comparison result;

[0022] A category risk determination is performed according to the category comparison result to obtain a category risk determination result.

[0023] Further, the S3 includes:

[0024] Acquire the engineering BIM model risk progress information according to the type risk determination information, and calculate the engineering cumulative risk impact coefficient according to the engineering BIM model risk progress information;

[0025] Compare the cumulative risk impact coefficient of the project with a preset cumulative impact threshold to obtain a cumulative comparison result;

[0026] Performing cumulative risk determination on the engineering BIM model according to the cumulative comparison result to obtain a cumulative determination result;

[0027] A risk impact warning of the engineering BIM model is performed according to the accumulated determination results to obtain risk impact warning information.

[0028] Further, the S4 includes:

[0029] Acquire the abnormal risk monitoring type according to the risk warning information, and acquire the risk area according to the risk monitoring type;

[0030] Acquire risk source information of the risk area according to the risk area;

[0031] Performing risk adjustment on the risk source information to obtain risk adjustment information;

[0032] The risk impact warning information is obtained again according to the risk adjustment information until no risk warning information exists.

[0033] Furthermore, the system comprises:

[0034] A regional association monitoring module is used to obtain project information, build a project BIM model according to the project information, divide the project BIM model into monitoring areas according to the classification information of the project information, obtain the project model monitoring area, and then obtain the regional group association information;

[0035] The regional risk analysis module is used to perform a scenario preview for each project model monitoring area, calculate its regional scenario impact coefficient, compare it with the preset coefficient threshold, obtain the risk area, calculate the type impact coefficient of each project monitoring type, and obtain the risk type;

[0036] The cumulative risk analysis module is used to calculate the cumulative risk impact coefficient of the project, compare it with the preset cumulative impact threshold, obtain the cumulative risk judgment of the project BIM model, and then obtain risk impact warning information;

[0037] The risk source adjustment module is used to reversely obtain wind direction source information based on risk warning information, abnormal risk monitoring types and risk area information, and adjust the risk source information until there is no risk warning information.

[0038] Furthermore, the regional association monitoring module includes:

[0039] A preprocessing module is used to obtain real-time information and historical information of the project, and preprocess the real-time information and historical information of the project to obtain preprocessing information;

[0040] A model building module, used to obtain pre-processed historical information and build a project BIM model according to the pre-processed historical information;

[0041] A region division module is used to divide the BIM model into monitoring regions according to the type of engineering monitoring to obtain an engineering model monitoring region group;

[0042] The area association module is used to establish an association relationship for each engineering model monitoring area of ​​the engineering model monitoring area group and obtain area group association information.

[0043] Furthermore, the regional risk analysis module includes:

[0044] A scheme preview module is used to obtain the construction scheme of each engineering model monitoring area, perform scheme preview through the BIM model according to the construction scheme, and obtain regional scheme preview data;

[0045] A regional calculation module, used for calculating the regional scheme impact coefficient according to the regional scheme preview data;

[0046] A region determination module, used for comparing the impact coefficient of the region scheme with a preset coefficient threshold to obtain an impact comparison result;

[0047] Performing regional risk assessment based on the impact comparison results to obtain regional risk assessment results;

[0048] Acquire all risk areas of each area group associated information according to the area risk determination result;

[0049] A category calculation module is used to calculate the average value of the regional scheme impact coefficients of all risk areas of each regional group association information to obtain the category impact coefficient of each engineering monitoring category;

[0050] A category determination module, used to compare the category influence coefficient with a preset category threshold to obtain a category comparison result;

[0051] A category risk determination is performed according to the category comparison result to obtain a category risk determination result.

[0052] Furthermore, the cumulative risk analysis module includes:

[0053] A cumulative calculation module is used to obtain the risk progress information of the engineering BIM model according to the risk determination information of the type, and calculate the cumulative risk impact coefficient of the engineering according to the risk progress information of the engineering BIM model;

[0054] A cumulative determination module, used to compare the cumulative risk impact coefficient of the project with a preset cumulative impact threshold to obtain a cumulative comparison result;

[0055] Performing cumulative risk determination on the engineering BIM model according to the cumulative comparison result to obtain a cumulative determination result;

[0056] The risk warning module is used to carry out risk impact warning of the engineering BIM model according to the accumulated determination results and obtain risk impact warning information.

[0057] Furthermore, the risk source adjustment module includes:

[0058] A risk source acquisition module, used to acquire the abnormal risk monitoring type according to the risk warning information, and acquire the risk area according to the risk monitoring type;

[0059] Acquire risk source information of the risk area according to the risk area;

[0060] An adjustment module, used to perform risk adjustment on the risk source information to obtain risk adjustment information;

[0061] The risk impact warning information is obtained again according to the risk adjustment information until no risk warning information exists.

[0062] Beneficial effects of the present invention: Through the intuitive display and data analysis of the BIM model, managers can quickly identify risk areas and types, take preventive measures in a timely manner, and significantly improve safety management efficiency. Data-based scenario rehearsal and risk assessment provide a scientific basis for managers' decision-making, reduce blindness and subjectivity, and improve the scientificity and accuracy of decision-making. As an information integration platform, the BIM model promotes information sharing and collaborative work among departments, so that safety management is no longer isolated from a certain link or department, but runs through the entire project. By combining pre-prevention and in-process control, the probability of safety accidents is effectively reduced, ensuring the smooth progress of engineering projects and the safety of personnel. The application of this method and system not only improves the safety management level of engineering projects, but also promotes the innovation of project management concepts and methods, and promotes the process of digital transformation in the construction industry.

[0063] Figure 1 This is a schematic diagram of the engineering safety management method based on the BIM model;

[0064] Figure 2 Schematic diagram of the engineering safety management system based on the BIM model. DETAILED DESCRIPTION

[0065] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0066] In one embodiment of the present invention, a method and system for engineering safety management based on a BIM model is proposed in the present invention, and the method comprises:

[0067] S1. Acquire engineering information, construct an engineering BIM model according to the engineering information, divide the engineering BIM model into monitoring areas according to classification information of the engineering information, obtain monitoring areas of the engineering model, and then obtain regional group association information;

[0068] S2. Preview the scheme for each project model monitoring area, calculate its regional scheme impact coefficient, compare it with the preset coefficient threshold, obtain the risk area, calculate the type impact coefficient of each project monitoring type, and obtain the risk type;

[0069] S3. Calculate the cumulative risk impact coefficient of the project, compare it with the preset cumulative impact threshold, obtain the cumulative risk judgment of the project BIM model, and then obtain risk impact warning information;

[0070] S4. Obtain wind direction source information in reverse according to risk warning information, abnormal risk monitoring types and risk area information, and adjust the risk source information until there is no risk warning information, such as Figure 1 shown.

[0071] The working principle of the above technical solution is as follows: the system obtains detailed engineering information from multiple sources, including but not limited to design drawings, construction plans, material lists, schedules, etc. Based on this information, the system uses BIM technology to build a three-dimensional engineering model, which integrates the geometric, physical and functional information of the project. The system automatically divides the BIM model into multiple monitoring areas according to the classification of engineering information (such as structure type, functional area, construction stage, etc.). Each monitoring area not only exists independently, but is also connected to each other through regional group association information to ensure the circulation and sharing of information. For each monitoring area, the system simulates different construction plans or scenarios to perform a plan preview. The impact coefficient of each plan on the area is calculated and compared with the preset coefficient threshold to identify potential risk areas. At the same time, the impact coefficient of each engineering monitoring type (such as structural safety, fire safety, environmental protection, etc.) is analyzed to determine the risk type. The risk impact coefficient of each area and type is combined to calculate the cumulative risk impact coefficient of the entire project. The cumulative risk impact coefficient is compared with the preset cumulative impact threshold to evaluate the overall risk level of the project. Once the cumulative risk exceeds the threshold, the system generates a risk impact warning message to prompt management personnel to pay attention and take corresponding measures. Based on the early warning information, abnormal risk monitoring types and risk area information, the system can trace back to the specific risk source. Based on the risk source information, the management personnel can adjust the construction plan, strengthen the supervision measures or take other effective measures until the risk is effectively controlled and the early warning information is eliminated.

[0072] The technical effect of the above technical solution is: through the intuitive display and data analysis of the BIM model, managers can quickly identify risk areas and types, take preventive measures in time, and significantly improve the efficiency of safety management. The data-based scheme preview and risk assessment provide a scientific basis for managers' decision-making, reduce blindness and subjectivity, and improve the scientificity and accuracy of decision-making. As a platform for information integration, the BIM model promotes information sharing and collaborative work among departments, so that safety management is no longer isolated from a certain link or department, but runs through the entire project. By combining pre-prevention and in-process control, the probability of safety accidents is effectively reduced, ensuring the smooth progress of engineering projects and the safety of personnel. The application of this method and system not only improves the safety management level of engineering projects, but also promotes the innovation of project management concepts and methods, and promotes the process of digital transformation in the construction industry.

[0073] In one embodiment of the present invention, the S1 includes:

[0074] Acquire real-time information and historical information of the project, pre-process the real-time information and historical information of the project, and obtain pre-processed information;

[0075] Acquire preprocessed historical information, and construct a project BIM model according to the preprocessed historical information;

[0076] Divide the BIM model into monitoring areas according to the type of engineering monitoring to obtain an engineering model monitoring area group;

[0077] An association relationship is established for each engineering model monitoring area of ​​the engineering model monitoring area group to obtain area group association information.

[0078] The working principle of the above technical solution is as follows: the system first obtains real-time and historical information of the project through multiple channels such as sensors, IoT devices, and databases. This information may include but is not limited to construction progress, material usage, equipment status, environmental monitoring data, etc. The information obtained often has problems such as different formats, redundancy, and noise, so it needs to be preprocessed. The preprocessing process may include steps such as data cleaning (removing invalid or erroneous data), data conversion (unifying data formats), and data compression (reducing storage space) to obtain high-quality preprocessed information. Using the preprocessed historical information, the system begins to build the BIM model of the project. The BIM model is a digital model that integrates the geometric, physical, and functional characteristics of the project, which can fully reflect the actual situation of the project. During the construction process, the system will build a virtual model of the project in three-dimensional space based on the design drawings, construction plans, material lists, and other data in the historical information, and give the model corresponding attribute information (such as material, size, location, etc.). After the BIM model is built, the system will divide the model into monitoring areas according to the type of project monitoring. These monitoring types may include structural safety, fire safety, environmental protection, construction progress, and other aspects. Each monitoring area corresponds to one or more parts in the BIM model. The system will subdivide the model according to the monitoring needs to ensure that each area can be effectively monitored and managed. After the monitoring areas are divided, the system will establish associations between these areas. This is because in actual projects, there is often a relationship of mutual influence and restriction between different monitoring areas. The system will determine the association between different monitoring areas by analyzing the spatial position, functional layout, construction process and other information in the BIM model, and record it to form regional group association information. This information is crucial for subsequent risk assessment and early warning.

[0079] The technical effect of the above technical solution is: by automatically acquiring, preprocessing and integrating real-time and historical information of the project, the system greatly improves the efficiency of information integration and management, and reduces the cost and error rate of manual intervention. The BIM model constructed based on high-quality historical information can more accurately reflect the actual situation of the project and provide strong support for subsequent construction, management and maintenance. By dividing the monitoring area of ​​the BIM model and establishing the association relationship, the system can realize the refined monitoring and management of all aspects of the project, and timely discover and deal with potential risks and problems. The system can conduct risk assessment and early warning based on monitoring data and BIM models, providing managers with scientific decision-making basis. At the same time, through the analysis of regional association information, the system can also predict the path and scope of risk propagation, and improve the pertinence and effectiveness of risk response. The application of this workflow marks an important step for engineering management to move towards digitalization and intelligence, and provides strong support for the digital transformation of the construction industry.

[0080] In one embodiment of the present invention, S2 includes:

[0081] Obtain the construction plan for each monitoring area of ​​the engineering model, perform a plan preview through the BIM model according to the construction plan, and obtain regional plan preview data;

[0082] Calculate the regional plan impact coefficient based on the regional plan preview data;

[0083] The calculation formula of the regional scheme impact coefficient is:

[0084]

[0085] Among them, QY yx is the regional scheme impact coefficient, j is the number of regional hazard sources, F yi is the preview data of the ith hazard source in the region, F li is the historical average data of the ith hazard source in the region, g is the total number of data sources in the region, and Y yo is the preview data of the oth data source in the region, Y lo is the historical average data of the oth data source in the region;

[0086] Comparing the impact coefficient of the regional plan with a preset coefficient threshold to obtain an impact comparison result;

[0087] Performing regional risk assessment based on the impact comparison results to obtain regional risk assessment results;

[0088] When the regional scheme impact coefficient is greater than the preset coefficient threshold, the area is determined to be a risk area, otherwise it is not determined.

[0089] Acquire all risk areas of each area group associated information according to the area risk determination result;

[0090] Calculate the average of the regional scheme impact coefficients of all risk areas of each regional group association information to obtain the type impact coefficient of each engineering monitoring type;

[0091] Comparing the category influence coefficient with a preset category threshold to obtain a category comparison result;

[0092] A category risk determination is performed according to the category comparison result to obtain a category risk determination result.

[0093] The working principle of the above technical solution is as follows: the system first obtains the construction plan for each project model monitoring area, which describes in detail the construction activities to be carried out in the area, the materials and equipment used, and the expected goals. The system uses the BIM model to perform the plan preview. By simulating the execution process of the construction plan, the system can predict the impact of construction activities on the model, including structural changes, material consumption, environmental impact, etc., so as to generate regional plan preview data. Based on the regional plan preview data, the system calculates the regional plan impact coefficient. This coefficient is a quantitative indicator used to evaluate the possible comprehensive impact of the construction plan on the monitoring area. The calculated regional plan impact coefficient is compared with the preset coefficient threshold. If the impact coefficient exceeds the threshold, it is considered that the area has a high risk; otherwise, the risk is relatively low. According to the impact comparison results, the system makes a regional risk determination and generates a corresponding risk determination result. For all risk areas in the association information of each regional group, the system calculates the average value of its regional plan impact coefficient as the type impact coefficient of the project monitoring type; the type impact coefficient is also compared with the preset type threshold to determine whether the entire monitoring type has risks. This step helps to grasp the overall risk status of the project from a macro perspective and provide a basis for formulating a comprehensive risk management strategy.

[0094] The technical effect of the above technical scheme is: through the BIM model to preview the construction plan, potential problems and risk points can be discovered in advance, so as to optimize the construction plan and improve the scientificity and rationality of construction activities. Risk assessment based on the quantified regional scheme influence coefficient and type influence coefficient makes the assessment results more objective and accurate. This helps managers better understand the risk situation and formulate effective risk response measures. The automated risk assessment process reduces manual intervention and improves the efficiency of risk management. At the same time, through the analysis of regional group association information, the system can quickly identify the path and scope of risk propagation, providing strong support for risk response. The application of this process marks an important step in the direction of intelligent engineering management. Through the combination of BIM technology and data analysis, the optimization of construction plans, the automation of risk assessment and the intelligence of risk management are realized. By discovering and solving potential risk problems in advance, this process helps to ensure the quality and safety of the project and reduce accidents and losses during construction.

[0095] In one embodiment of the present invention, S3 includes:

[0096] Acquire the engineering BIM model risk progress information according to the type risk determination information, and calculate the engineering cumulative risk impact coefficient according to the engineering BIM model risk progress information;

[0097] The calculation formula for the cumulative risk impact coefficient of the project is:

[0098]

[0099] Among them, L gc is the cumulative risk impact coefficient of the project, T is the number of project monitoring types in the project BIM model, Z is the total number of regional project monitoring types, QY yxmn is the regional scheme impact coefficient of the nth region of the mth engineering monitoring type;

[0100] Compare the cumulative risk impact coefficient of the project with a preset cumulative impact threshold to obtain a cumulative comparison result;

[0101] Performing cumulative risk determination on the engineering BIM model according to the cumulative comparison result to obtain a cumulative determination result;

[0102] When the cumulative risk impact coefficient of the project is greater than the preset cumulative impact threshold, the project is judged to be at risk, and early warning and hazard source adjustment are carried out.

[0103] A risk impact warning of the engineering BIM model is performed according to the accumulated determination results to obtain risk impact warning information.

[0104] The working principle of the above technical solution is as follows: Based on the risk determination information of different types, the system can identify the risks existing under different monitoring types and their progress. These risk progress information may include the starting time, duration, current status (such as resolved, being processed, pending, etc.) of the risk and the potential impact of the risk on the progress and quality of the project. The system uses the risk progress information, combined with factors such as the nature, severity and scope of impact of the risk, to calculate the cumulative risk impact coefficient of the project. This coefficient is a comprehensive indicator used to quantitatively evaluate the overall impact of various risks accumulated over a specific period of time on the entire project. The calculated cumulative risk impact coefficient of the project is compared with the preset cumulative impact threshold. This threshold is set according to the characteristics of the project, industry standards or historical experience, and is used to determine whether the project risk has reached the level that requires special measures. If the cumulative risk impact coefficient exceeds the threshold, it is considered that the project has a high cumulative risk; otherwise, the risk is relatively low. Based on the cumulative determination results, the system generates risk impact warning information. These warning information may include a specific description of the risk, the scope of impact, recommended countermeasures, and the degree of urgency, etc., to remind managers to pay attention to and deal with risk issues in a timely manner.

[0105] The technical effect of the above technical solution is: by dynamically calculating the cumulative risk impact coefficient of the project, the system can realize real-time monitoring and evaluation of the project risk, ensuring that managers can understand the project risk status in a timely manner. The risk impact warning information generated based on the cumulative risk determination results is highly targeted and accurate. This helps managers quickly locate the source of risk, formulate effective response measures, and reduce the impact of risk on project quality and progress. The automated risk assessment and warning process reduces manual intervention and decision-making time, and improves decision-making efficiency. Managers can focus more on risk response and project management itself, rather than spending a lot of time on data collection and analysis. Through risk warning information, the system can guide the optimal allocation of resources. For example, increase monitoring equipment and manpower investment in high-risk areas to ensure that risks are controlled and handled in a timely and effective manner. By early warning and timely response to risk issues, the process helps to enhance the safety of the project and reduce the probability of accidents and the degree of loss. This is of great significance for ensuring project quality and personnel safety.

[0106] In one embodiment of the present invention, the S4 includes:

[0107] Acquire the abnormal risk monitoring type according to the risk warning information, and acquire the risk area according to the risk monitoring type;

[0108] Acquire risk source information of the risk area according to the risk area;

[0109] Performing risk adjustment on the risk source information to obtain risk adjustment information;

[0110] The risk impact warning information is obtained again according to the risk adjustment information until no risk warning information exists.

[0111] The working principle of the above technical solution is as follows: the system first identifies the types of abnormal risk monitoring currently existing based on the risk warning information. These types may involve multiple aspects such as structural safety, fire safety, environmental protection, and construction progress. Based on the identified risk monitoring types, the system further locates specific risk areas. These areas are specific locations where risks occur or may occur, such as construction areas, equipment areas, environmentally sensitive areas, etc. For each risk area, the system needs to obtain detailed risk source information. The risk source is the root cause or factor that causes the risk to occur or aggravate, which may include design defects, improper construction, material quality problems, environmental changes, etc. The acquisition of risk source information can be achieved through various channels, such as on-site investigation, equipment monitoring, data analysis, etc. This information is crucial for subsequent risk adjustment. Based on the acquired risk source information, the system or management personnel will formulate corresponding risk adjustment measures. These measures are intended to eliminate or reduce the impact of risk sources on project quality and safety, such as repairing design defects, improving construction methods, replacing unqualified materials, and strengthening environmental monitoring. After the risk adjustment measures are implemented, the system will generate risk adjustment information based on the actual situation, and record the implementation of the adjustment measures, effect evaluation and other information. Based on the risk adjustment information, the system re-evaluates the risk impact warning information. This process is an important part of closed-loop management, which aims to verify the effectiveness of risk adjustment measures and confirm whether risks are effectively controlled; if the assessment results show that risk warning information still exists, the system will enter the risk adjustment process again until the risk is effectively controlled and there is no risk warning information.

[0112] The technical effect of the above technical solution is: through the automated risk warning and adjustment process, the system can quickly identify risks, locate risk areas, obtain risk source information, and formulate corresponding adjustment measures. This greatly improves the efficiency and response speed of risk management. Based on detailed risk source information and scientific risk assessment methods, the system can more accurately assess the nature and extent of risks and formulate more accurate and effective adjustment measures. This helps to reduce the risk of misjudgment and missed judgment and improve the accuracy of risk management. Through timely and effective risk adjustment and closed-loop management, the system can eliminate or mitigate the impact of risks on project quality and safety to the greatest extent. This helps to reduce project risks and ensure the smooth progress and final quality of the project. The risk warning information and adjustment measures generated by the system provide important decision-making support for managers. Managers can formulate more scientific and reasonable decision-making plans based on this information, optimize resource allocation and risk management strategies. The application of this process marks an important step in the intelligent direction of engineering management. By integrating advanced sensor technology, data analysis technology and intelligent decision-making technology, the system can realize the automation and intelligence of risk management and improve the overall level of engineering management.

[0113] In one embodiment of the present invention, the system comprises:

[0114] A regional association monitoring module is used to obtain project information, build a project BIM model according to the project information, divide the project BIM model into monitoring areas according to the classification information of the project information, obtain the project model monitoring area, and then obtain the regional group association information;

[0115] The regional risk analysis module is used to perform a scenario preview for each project model monitoring area, calculate its regional scenario impact coefficient, compare it with the preset coefficient threshold, obtain the risk area, calculate the type impact coefficient of each project monitoring type, and obtain the risk type;

[0116] The cumulative risk analysis module is used to calculate the cumulative risk impact coefficient of the project, compare it with the preset cumulative impact threshold, obtain the cumulative risk judgment of the project BIM model, and then obtain risk impact warning information;

[0117] The risk source adjustment module is used to reversely obtain the wind direction source information based on the risk warning information, abnormal risk monitoring type and risk area information, and adjust the risk source information until there is no risk warning information, such as Figure 2 shown.

[0118] The working principle of the above technical solution is as follows: the system obtains detailed engineering information from multiple sources, including but not limited to design drawings, construction plans, material lists, schedules, etc. Based on this information, the system uses BIM technology to build a three-dimensional engineering model, which integrates the geometric, physical and functional information of the project. The system automatically divides the BIM model into multiple monitoring areas according to the classification of engineering information (such as structure type, functional area, construction stage, etc.). Each monitoring area not only exists independently, but is also connected to each other through regional group association information to ensure the circulation and sharing of information. For each monitoring area, the system simulates different construction plans or scenarios to perform a plan preview. The impact coefficient of each plan on the area is calculated and compared with the preset coefficient threshold to identify potential risk areas. At the same time, the impact coefficient of each engineering monitoring type (such as structural safety, fire safety, environmental protection, etc.) is analyzed to determine the risk type. The risk impact coefficient of each area and type is combined to calculate the cumulative risk impact coefficient of the entire project. The cumulative risk impact coefficient is compared with the preset cumulative impact threshold to evaluate the overall risk level of the project. Once the cumulative risk exceeds the threshold, the system generates a risk impact warning message to prompt management personnel to pay attention and take corresponding measures. Based on the early warning information, abnormal risk monitoring types and risk area information, the system can trace back to the specific risk source. Based on the risk source information, the management personnel can adjust the construction plan, strengthen the supervision measures or take other effective measures until the risk is effectively controlled and the early warning information is eliminated.

[0119] The technical effect of the above technical solution is: through the intuitive display and data analysis of the BIM model, managers can quickly identify risk areas and types, take preventive measures in time, and significantly improve the efficiency of safety management. The data-based scheme preview and risk assessment provide a scientific basis for managers' decision-making, reduce blindness and subjectivity, and improve the scientificity and accuracy of decision-making. As a platform for information integration, the BIM model promotes information sharing and collaborative work among departments, so that safety management is no longer isolated from a certain link or department, but runs through the entire project. By combining pre-prevention and in-process control, the probability of safety accidents is effectively reduced, ensuring the smooth progress of engineering projects and the safety of personnel. The application of this method and system not only improves the safety management level of engineering projects, but also promotes the innovation of project management concepts and methods, and promotes the process of digital transformation in the construction industry.

[0120] In one embodiment of the present invention, the region association monitoring module includes:

[0121] A preprocessing module is used to obtain real-time information and historical information of the project, and preprocess the real-time information and historical information of the project to obtain preprocessing information;

[0122] A model building module, used to obtain pre-processed historical information and build a project BIM model according to the pre-processed historical information;

[0123] A region division module is used to divide the BIM model into monitoring regions according to the type of engineering monitoring to obtain an engineering model monitoring region group;

[0124] The area association module is used to establish an association relationship for each engineering model monitoring area of ​​the engineering model monitoring area group and obtain area group association information.

[0125] The working principle of the above technical solution is as follows: the system first obtains real-time and historical information of the project through multiple channels such as sensors, IoT devices, and databases. This information may include but is not limited to construction progress, material usage, equipment status, environmental monitoring data, etc. The information obtained often has problems such as different formats, redundancy, and noise, so it needs to be preprocessed. The preprocessing process may include steps such as data cleaning (removing invalid or erroneous data), data conversion (unifying data formats), and data compression (reducing storage space) to obtain high-quality preprocessed information. Using the preprocessed historical information, the system begins to build the BIM model of the project. The BIM model is a digital model that integrates the geometric, physical, and functional characteristics of the project, which can fully reflect the actual situation of the project. During the construction process, the system will build a virtual model of the project in three-dimensional space based on the design drawings, construction plans, material lists, and other data in the historical information, and give the model corresponding attribute information (such as material, size, location, etc.). After the BIM model is built, the system will divide the model into monitoring areas according to the type of project monitoring. These monitoring types may include structural safety, fire safety, environmental protection, construction progress, and other aspects. Each monitoring area corresponds to one or more parts in the BIM model. The system will subdivide the model according to the monitoring needs to ensure that each area can be effectively monitored and managed. After the monitoring areas are divided, the system will establish associations between these areas. This is because in actual projects, there is often a relationship of mutual influence and restriction between different monitoring areas. The system will determine the association between different monitoring areas by analyzing the spatial position, functional layout, construction process and other information in the BIM model, and record it to form regional group association information. This information is crucial for subsequent risk assessment and early warning.

[0126] The technical effect of the above technical solution is: by automatically acquiring, preprocessing and integrating real-time and historical information of the project, the system greatly improves the efficiency of information integration and management, and reduces the cost and error rate of manual intervention. The BIM model constructed based on high-quality historical information can more accurately reflect the actual situation of the project and provide strong support for subsequent construction, management and maintenance. By dividing the monitoring area of ​​the BIM model and establishing the association relationship, the system can realize the refined monitoring and management of all aspects of the project, and timely discover and deal with potential risks and problems. The system can conduct risk assessment and early warning based on monitoring data and BIM models, providing managers with scientific decision-making basis. At the same time, through the analysis of regional association information, the system can also predict the path and scope of risk propagation, and improve the pertinence and effectiveness of risk response. The application of this workflow marks an important step for engineering management to move towards digitalization and intelligence, and provides strong support for the digital transformation of the construction industry.

[0127] In one embodiment of the present invention, the regional risk analysis module includes:

[0128] A scheme preview module is used to obtain the construction scheme of each engineering model monitoring area, perform scheme preview through the BIM model according to the construction scheme, and obtain regional scheme preview data;

[0129] A regional calculation module, used for calculating the regional scheme impact coefficient according to the regional scheme preview data;

[0130] The calculation formula of the regional scheme impact coefficient is:

[0131]

[0132] Among them, QY yx is the regional scheme impact coefficient, j is the number of regional hazard sources, F yi is the preview data of the ith hazard source in the region, F li is the historical average data of the ith hazard source in the region, g is the total number of data sources in the region, and Y yo is the preview data of the oth data source in the region, Y lo is the historical average data of the oth data source in the region;

[0133] A region determination module, used for comparing the impact coefficient of the region scheme with a preset coefficient threshold to obtain an impact comparison result;

[0134] Performing regional risk assessment based on the impact comparison results to obtain regional risk assessment results;

[0135] Acquire all risk areas of each area group associated information according to the area risk determination result;

[0136] A category calculation module is used to calculate the average value of the regional scheme impact coefficients of all risk areas of each regional group association information to obtain the category impact coefficient of each engineering monitoring category;

[0137] A category determination module, used to compare the category influence coefficient with a preset category threshold to obtain a category comparison result;

[0138] A category risk determination is performed according to the category comparison result to obtain a category risk determination result.

[0139] The working principle of the above technical solution is as follows: the system first obtains the construction plan for each project model monitoring area, which describes in detail the construction activities to be carried out in the area, the materials and equipment used, and the expected goals. The system uses the BIM model to perform the plan preview. By simulating the execution process of the construction plan, the system can predict the impact of construction activities on the model, including structural changes, material consumption, environmental impact, etc., so as to generate regional plan preview data. Based on the regional plan preview data, the system calculates the regional plan impact coefficient. This coefficient is a quantitative indicator used to evaluate the possible comprehensive impact of the construction plan on the monitoring area. The calculated regional plan impact coefficient is compared with the preset coefficient threshold. If the impact coefficient exceeds the threshold, it is considered that the area has a high risk; otherwise, the risk is relatively low. According to the impact comparison results, the system makes a regional risk determination and generates a corresponding risk determination result. For all risk areas in the association information of each regional group, the system calculates the average value of its regional plan impact coefficient as the type impact coefficient of the project monitoring type; the type impact coefficient is also compared with the preset type threshold to determine whether the entire monitoring type has risks. This step helps to grasp the overall risk status of the project from a macro perspective and provide a basis for formulating a comprehensive risk management strategy.

[0140] The technical effect of the above technical scheme is: through the BIM model to preview the construction plan, potential problems and risk points can be discovered in advance, so as to optimize the construction plan and improve the scientificity and rationality of construction activities. Risk assessment based on the quantified regional scheme influence coefficient and type influence coefficient makes the assessment results more objective and accurate. This helps managers better understand the risk situation and formulate effective risk response measures. The automated risk assessment process reduces manual intervention and improves the efficiency of risk management. At the same time, through the analysis of regional group association information, the system can quickly identify the path and scope of risk propagation, providing strong support for risk response. The application of this process marks an important step in the direction of intelligent engineering management. Through the combination of BIM technology and data analysis, the optimization of construction plans, the automation of risk assessment and the intelligence of risk management are realized. By discovering and solving potential risk problems in advance, this process helps to ensure the quality and safety of the project and reduce accidents and losses during construction.

[0141] In one embodiment of the present invention, the cumulative risk analysis module includes:

[0142] A cumulative calculation module is used to obtain the risk progress information of the engineering BIM model according to the risk determination information of the type, and calculate the cumulative risk impact coefficient of the engineering according to the risk progress information of the engineering BIM model;

[0143] The calculation formula for the cumulative risk impact coefficient of the project is:

[0144]

[0145] Among them, L gc is the cumulative risk impact coefficient of the project, T is the number of project monitoring types in the project BIM model, Z is the total number of regional project monitoring types, QY yxmn is the regional scheme impact coefficient of the nth region of the mth engineering monitoring type;

[0146] A cumulative determination module, used to compare the cumulative risk impact coefficient of the project with a preset cumulative impact threshold to obtain a cumulative comparison result;

[0147] Performing cumulative risk determination on the engineering BIM model according to the cumulative comparison result to obtain a cumulative determination result;

[0148] The risk warning module is used to carry out risk impact warning of the engineering BIM model according to the accumulated determination results and obtain risk impact warning information.

[0149] The working principle of the above technical solution is as follows: Based on the risk determination information of different types, the system can identify the risks existing under different monitoring types and their progress. These risk progress information may include the starting time, duration, current status (such as resolved, being processed, pending, etc.) of the risk and the potential impact of the risk on the progress and quality of the project. The system uses the risk progress information, combined with factors such as the nature, severity and scope of impact of the risk, to calculate the cumulative risk impact coefficient of the project. This coefficient is a comprehensive indicator used to quantitatively evaluate the overall impact of various risks accumulated over a specific period of time on the entire project. The calculated cumulative risk impact coefficient of the project is compared with the preset cumulative impact threshold. This threshold is set according to the characteristics of the project, industry standards or historical experience, and is used to determine whether the project risk has reached the level that requires special measures. If the cumulative risk impact coefficient exceeds the threshold, it is considered that the project has a high cumulative risk; otherwise, the risk is relatively low. Based on the cumulative determination results, the system generates risk impact warning information. These warning information may include a specific description of the risk, the scope of impact, recommended countermeasures, and the degree of urgency, etc., to remind managers to pay attention to and deal with risk issues in a timely manner.

[0150] The technical effect of the above technical solution is: by dynamically calculating the cumulative risk impact coefficient of the project, the system can realize real-time monitoring and evaluation of the project risk, ensuring that managers can understand the project risk status in a timely manner. The risk impact warning information generated based on the cumulative risk determination results is highly targeted and accurate. This helps managers quickly locate the source of risk, formulate effective response measures, and reduce the impact of risk on project quality and progress. The automated risk assessment and warning process reduces manual intervention and decision-making time, and improves decision-making efficiency. Managers can focus more on risk response and project management itself, rather than spending a lot of time on data collection and analysis. Through risk warning information, the system can guide the optimal allocation of resources. For example, increase monitoring equipment and manpower investment in high-risk areas to ensure that risks are controlled and handled in a timely and effective manner. By early warning and timely response to risk issues, the process helps to enhance the safety of the project and reduce the probability of accidents and the degree of loss. This is of great significance for ensuring project quality and personnel safety.

[0151] In one embodiment of the present invention, the risk source adjustment module includes:

[0152] A risk source acquisition module, used to acquire the abnormal risk monitoring type according to the risk warning information, and acquire the risk area according to the risk monitoring type;

[0153] Acquire risk source information of the risk area according to the risk area;

[0154] An adjustment module, used to perform risk adjustment on the risk source information to obtain risk adjustment information;

[0155] The risk impact warning information is obtained again according to the risk adjustment information until no risk warning information exists.

[0156] The working principle of the above technical solution is as follows: the system first identifies the types of abnormal risk monitoring currently existing based on the risk warning information. These types may involve multiple aspects such as structural safety, fire safety, environmental protection, and construction progress. Based on the identified risk monitoring types, the system further locates specific risk areas. These areas are specific locations where risks occur or may occur, such as construction areas, equipment areas, environmentally sensitive areas, etc. For each risk area, the system needs to obtain detailed risk source information. The risk source is the root cause or factor that causes the risk to occur or aggravate, which may include design defects, improper construction, material quality problems, environmental changes, etc. The acquisition of risk source information can be achieved through various channels, such as on-site investigation, equipment monitoring, data analysis, etc. This information is crucial for subsequent risk adjustment. Based on the acquired risk source information, the system or management personnel will formulate corresponding risk adjustment measures. These measures are intended to eliminate or reduce the impact of risk sources on project quality and safety, such as repairing design defects, improving construction methods, replacing unqualified materials, and strengthening environmental monitoring. After the risk adjustment measures are implemented, the system will generate risk adjustment information based on the actual situation, and record the implementation of the adjustment measures, effect evaluation and other information. Based on the risk adjustment information, the system re-evaluates the risk impact warning information. This process is an important part of closed-loop management, which aims to verify the effectiveness of risk adjustment measures and confirm whether risks are effectively controlled; if the assessment results show that risk warning information still exists, the system will enter the risk adjustment process again until the risk is effectively controlled and there is no risk warning information.

[0157] The technical effect of the above technical solution is: through the automated risk warning and adjustment process, the system can quickly identify risks, locate risk areas, obtain risk source information, and formulate corresponding adjustment measures. This greatly improves the efficiency and response speed of risk management. Based on detailed risk source information and scientific risk assessment methods, the system can more accurately assess the nature and extent of risks and formulate more accurate and effective adjustment measures. This helps to reduce the risk of misjudgment and missed judgment and improve the accuracy of risk management. Through timely and effective risk adjustment and closed-loop management, the system can eliminate or mitigate the impact of risks on project quality and safety to the greatest extent. This helps to reduce project risks and ensure the smooth progress and final quality of the project. The risk warning information and adjustment measures generated by the system provide important decision-making support for managers. Managers can formulate more scientific and reasonable decision-making plans based on this information, optimize resource allocation and risk management strategies. The application of this process marks an important step in the intelligent direction of engineering management. By integrating advanced sensor technology, data analysis technology and intelligent decision-making technology, the system can realize the automation and intelligence of risk management and improve the overall level of engineering management.

[0158] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. The engineering safety management method based on BIM model is characterized by: The method comprises: S1. Acquire engineering information, construct an engineering BIM model according to the engineering information, divide the engineering BIM model into monitoring areas according to classification information of the engineering information, obtain monitoring areas of the engineering model, and then obtain regional group association information; S2. Preview the scheme for each project model monitoring area, calculate its regional scheme impact coefficient, compare it with the preset coefficient threshold, obtain the risk area, calculate the type impact coefficient of each project monitoring type, and obtain the risk type; S3. Calculate the cumulative risk impact coefficient of the project, compare it with the preset cumulative impact threshold, obtain the cumulative risk judgment of the project BIM model, and then obtain risk impact warning information; S4. Reversely obtain wind direction source information based on risk warning information, abnormal risk monitoring types and risk area information, and adjust the risk source information until there is no risk warning information.

2. The engineering safety management method based on the BIM model according to claim 1 is characterized in that: The S1 includes: Acquire real-time information and historical information of the project, pre-process the real-time information and historical information of the project, and obtain pre-processed information; Acquire preprocessed historical information, and construct a project BIM model according to the preprocessed historical information; Divide the BIM model into monitoring areas according to the type of engineering monitoring to obtain an engineering model monitoring area group; An association relationship is established for each engineering model monitoring area of ​​the engineering model monitoring area group to obtain area group association information.

3. The engineering safety management method based on the BIM model according to claim 1 is characterized in that: The S2 includes: Obtain the construction plan for each monitoring area of ​​the engineering model, perform a plan preview through the BIM model according to the construction plan, and obtain regional plan preview data; Calculate the regional plan impact coefficient based on the regional plan preview data; Comparing the impact coefficient of the regional plan with a preset coefficient threshold to obtain an impact comparison result; Performing regional risk assessment based on the impact comparison results to obtain regional risk assessment results; Acquire all risk areas of each area group associated information according to the area risk determination result; Calculate the average of the regional scheme impact coefficients of all risk areas of each regional group association information to obtain the type impact coefficient of each engineering monitoring type; Comparing the category influence coefficient with a preset category threshold to obtain a category comparison result; A category risk determination is performed according to the category comparison result to obtain a category risk determination result.

4. The engineering safety management method based on the BIM model according to claim 1 is characterized in that: The S3 includes: Acquire the engineering BIM model risk progress information according to the type risk determination information, and calculate the engineering cumulative risk impact coefficient according to the engineering BIM model risk progress information; Compare the cumulative risk impact coefficient of the project with a preset cumulative impact threshold to obtain a cumulative comparison result; Performing cumulative risk determination on the engineering BIM model according to the cumulative comparison result to obtain a cumulative determination result; A risk impact warning of the engineering BIM model is performed according to the accumulated determination results to obtain risk impact warning information.

5. The engineering safety management method based on the BIM model according to claim 1 is characterized in that: The S4 includes: Acquire the abnormal risk monitoring type according to the risk warning information, and acquire the risk area according to the risk monitoring type; Acquire risk source information of the risk area according to the risk area; Performing risk adjustment on the risk source information to obtain risk adjustment information; The risk impact warning information is obtained again according to the risk adjustment information until no risk warning information exists.

6. The engineering safety management system based on BIM model is characterized by: The system comprises: A regional association monitoring module is used to obtain project information, build a project BIM model according to the project information, divide the project BIM model into monitoring areas according to the classification information of the project information, obtain the project model monitoring area, and then obtain the regional group association information; The regional risk analysis module is used to perform a scenario preview for each project model monitoring area, calculate its regional scenario impact coefficient, compare it with the preset coefficient threshold, obtain the risk area, calculate the type impact coefficient of each project monitoring type, and obtain the risk type; The cumulative risk analysis module is used to calculate the cumulative risk impact coefficient of the project, compare it with the preset cumulative impact threshold, obtain the cumulative risk judgment of the project BIM model, and then obtain risk impact warning information; The risk source adjustment module is used to reversely obtain wind direction source information based on risk warning information, abnormal risk monitoring types and risk area information, and adjust the risk source information until there is no risk warning information.

7. The engineering safety management system based on the BIM model according to claim 6 is characterized in that: The regional association monitoring module includes: A preprocessing module is used to obtain real-time information and historical information of the project, and preprocess the real-time information and historical information of the project to obtain preprocessing information; A model building module, used to obtain pre-processed historical information and build a project BIM model according to the pre-processed historical information; A region division module is used to divide the BIM model into monitoring regions according to the type of engineering monitoring to obtain an engineering model monitoring region group; The area association module is used to establish an association relationship for each engineering model monitoring area of ​​the engineering model monitoring area group and obtain area group association information.

8. The engineering safety management system based on the BIM model according to claim 6 is characterized in that: The regional risk analysis module includes: A scheme preview module is used to obtain the construction scheme of each engineering model monitoring area, perform scheme preview through the BIM model according to the construction scheme, and obtain regional scheme preview data; A regional calculation module, used for calculating the regional scheme impact coefficient according to the regional scheme preview data; A region determination module, used for comparing the impact coefficient of the region scheme with a preset coefficient threshold to obtain an impact comparison result; Performing regional risk assessment based on the impact comparison results to obtain regional risk assessment results; Acquire all risk areas of each area group associated information according to the area risk determination result; A category calculation module is used to calculate the average value of the regional scheme impact coefficients of all risk areas of each regional group association information to obtain the category impact coefficient of each engineering monitoring category; A category determination module, used to compare the category influence coefficient with a preset category threshold to obtain a category comparison result; A category risk determination is performed according to the category comparison result to obtain a category risk determination result.

9. The engineering safety management system based on the BIM model according to claim 6 is characterized in that: The cumulative risk analysis module includes: A cumulative calculation module is used to obtain the risk progress information of the engineering BIM model according to the risk determination information of the type, and calculate the cumulative risk impact coefficient of the engineering according to the risk progress information of the engineering BIM model; A cumulative determination module, used to compare the cumulative risk impact coefficient of the project with a preset cumulative impact threshold to obtain a cumulative comparison result; Performing cumulative risk determination on the engineering BIM model according to the cumulative comparison result to obtain a cumulative determination result; The risk warning module is used to carry out risk impact warning of the engineering BIM model according to the accumulated determination results and obtain risk impact warning information.

10. The engineering safety management system based on the BIM model according to claim 6 is characterized in that: The risk source adjustment module includes: A risk source acquisition module, used to acquire the abnormal risk monitoring type according to the risk warning information, and acquire the risk area according to the risk monitoring type; Acquire risk source information of the risk area according to the risk area; An adjustment module, used to perform risk adjustment on the risk source information to obtain risk adjustment information; The risk impact warning information is obtained again according to the risk adjustment information until no risk warning information exists.

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