Building engineering construction process safety management method and device

Abstract

The invention relates to a building engineering construction process safety management method comprising the following steps: obtaining construction site data of building engineering, and building a three-dimensional model of a construction site based on the construction site data; classifying objects of the construction site in the three-dimensional model to obtain dynamic objects and static objects, and obtaining safety management measures based on the analysis result; performing visual simulation on the safety management measures by using a digital twinborn technology to obtain a simulation result; acquiring a safety management criterion, evaluating the simulation result based on the safety management criterion to obtain a simulation evaluation result, and if the simulation evaluation result does not meet the safety management criterion, performing iterative optimization on the safety management measure until the simulation evaluation result meets the safety management criterion; potential safety hazards caused by the fact that the real-time state of a construction site cannot be comprehensively mastered and dynamic changes are difficult to accurately predict and control are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of building engineering, and in particular to a method, device, equipment and storage medium for safety management during the construction process of a building engineering. Background Art

[0002] In the current construction industry, with the rapid development and complexity of construction technology, safety issues in the construction process are becoming increasingly prominent. Traditional construction site safety management mainly relies on manual inspections and records, and there are many deficiencies in real-time monitoring of the construction site, timely discovery and early warning of potential risks, and effective formulation and implementation of safety management measures. For example, it is impossible to fully grasp the real-time status of the construction site, it is difficult to accurately predict and control the safety hazards caused by dynamic changes, and there is a lack of systematic and refined risk assessment and control methods for the entire construction process. In addition, with the trend of intelligent construction and digital transformation, how to use advanced information technology to improve the efficiency and accuracy of construction safety management has become a key issue that needs to be solved urgently. Summary of the invention

[0003] The main purpose of the present invention is to provide a construction process safety management method, device, equipment and storage medium for building engineering, which solves the safety hazards caused by the inability to fully grasp the real-time status of the construction site and the difficulty in accurately predicting and controlling dynamic changes.

[0004] To achieve the above-mentioned purpose, the present invention provides a construction process safety management method, comprising the following steps: Acquire construction site data of a construction project, and construct a three-dimensional model of the construction site based on the construction site data; Classifying objects at the construction site in the three-dimensional model to obtain dynamic objects and static objects, and tracking the dynamic objects by using GPS technology to obtain trajectories of the dynamic objects; Dynamically updating the three-dimensional model based on the trajectory of the dynamic object to obtain an updated three-dimensional model; Conduct risk analysis on the construction process based on the updated three-dimensional model to obtain risk analysis results, and obtain safety management measures based on the risk analysis results; wherein the safety management measures include safety protection measures for on-site personnel, safety management of mechanical equipment, and dynamic risk control during the construction process; Use digital twin technology to conduct visual simulation of safety management measures and obtain simulation results; Obtain safety management criteria, evaluate the simulation results based on the safety management criteria to obtain simulation evaluation results, and if the simulation evaluation results do not meet the safety management criteria, iteratively optimize the safety management measures until the simulation evaluation results meet the safety management criteria.

[0005] As a further solution of the present invention, the construction site data includes construction terrain data, building layout data, dynamic object data, historical accident data, and public facilities and infrastructure data.

[0006] As a further solution of the present invention, a three-dimensional model of the construction site is constructed based on the construction site data, including: Taking aerial photos of the construction site by a drone to obtain images of the construction site, extracting data from the images of the construction site to obtain construction site data of the building project; Converting the construction site data into a standard data set for a three-dimensional modeling program; Using 3D modeling software, constructing a 3D model of the construction site based on the standard data set to obtain a preliminary 3D model of the construction site; Performing component identification and division of the building object in the preliminary three-dimensional model through a preset component identification algorithm to obtain building element subdivisions; wherein the building elements include building envelope components, electromechanical pipeline components, and site facility components; The building attributes are obtained by consulting the on-site construction log, and attribute values ​​are assigned to the building element segments based on the building attributes through an attribute labeling algorithm to obtain building element segments with attributes; wherein the attributes include safety attributes, environmental attributes, life cycle attributes, construction attributes, and structural attributes; Based on the subdivision of the building elements with attributes, a three-dimensional model of the construction site is obtained.

[0007] As a further solution of the present invention, objects at the construction site in the three-dimensional model are classified to obtain dynamic objects and static objects, and the dynamic objects are tracked by GPS technology to obtain the trajectory of the dynamic objects, including: Identify the entity objects in the three-dimensional model to obtain identified objects, and classify the identified objects to obtain dynamic objects and static objects; The real-time dynamic location data of the dynamic object is collected through a preset GPS positioning system to obtain a continuous geographical location information stream; The Kalman filter algorithm is used to calculate the trajectory of the continuous geographic location information stream to obtain the precise motion trajectory of the dynamic object in the three-dimensional model; wherein the precise motion trajectory is used as the trajectory of the dynamic object.

[0008] As a further solution of the present invention, a risk analysis is performed on the construction process based on the updated three-dimensional model to obtain a risk analysis result, and safety management measures are obtained based on the risk analysis result, including: Conduct in-depth analysis of the updated 3D model using the accident tree analysis method to identify potential risk sources; Perform risk analysis on the construction process based on the potential risk sources to obtain risk analysis results; wherein the risk analysis results are a list of risks that may be faced during the construction process; the risk list includes multiple risk events and risk coefficients corresponding to the risk events; Based on the risk coefficient, a qualitative and quantitative risk assessment is performed on each of the risk events to obtain a corresponding risk level; Determine targeted safety management measures based on the corresponding risk level.

[0009] As a further solution of the present invention, obtaining a safety management criterion, evaluating the simulation result based on the safety management criterion to obtain a simulation evaluation result, and if the simulation evaluation result does not meet the safety management criterion, iteratively optimizing the safety management measures until the simulation evaluation result meets the safety management criterion, including: Obtaining construction safety regulations, and extracting information from the construction safety regulations to obtain safety management guidelines; Using a fuzzy comprehensive evaluation algorithm, based on the safety management criteria, the simulation results are qualitatively and quantitatively evaluated to obtain a simulation evaluation result; Comparing the simulation assessment results with the safety management criteria to obtain a comparison result; wherein the comparison result includes a safety performance index; Using the particle swarm optimization algorithm, when the comparison results do not meet the safety management criteria, the existing safety management measures are optimized and adjusted until the simulation evaluation results meet the safety management criteria.

[0010] As a further solution of the present invention, digital twin technology is used to perform visual simulation of safety management measures to obtain simulation results, including: Use digital twin technology to digitize safety management measures and obtain digital safety management measures; The digital safety management measures are virtually embedded in the three-dimensional model to obtain the safety measures simulation deployment; wherein the safety measures simulation deployment is a simulation environment configuration for implementing the safety management measures during the construction process; A continuous dynamic simulation is performed on the simulated deployment of the safety measures to obtain a dynamic simulation result.

[0011] The present invention also provides a construction process safety management device for a building project, comprising: An acquisition module, used to acquire construction site data of a building project, and to construct a three-dimensional model of the construction site based on the construction site data; A classification module is used to classify objects at the construction site in the three-dimensional model to obtain dynamic objects and static objects, and to track the dynamic objects by using GPS technology to obtain the trajectories of the dynamic objects; An updating module, used for dynamically updating the three-dimensional model based on the trajectory of the dynamic object to obtain an updated three-dimensional model; An analysis module, used to perform risk analysis on the construction process based on the updated three-dimensional model, obtain risk analysis results, and obtain safety management measures based on the risk analysis results; The simulation module is used to use digital twin technology to perform visual simulation of safety management measures and obtain simulation results; The evaluation module is used to obtain the safety management criteria, evaluate the simulation results based on the safety management criteria, and obtain simulation evaluation results. If the simulation evaluation results do not meet the safety management criteria, the safety management measures are iteratively optimized until the simulation evaluation results meet the safety management criteria.

[0012] The present invention also provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the above methods when executing the computer program.

[0013] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned methods are implemented.

[0014] The method, device, equipment and storage medium for safety management of the construction process of a construction project provided by the present invention include the following steps: obtaining construction site data of the construction project, and constructing a three-dimensional model of the construction site based on the construction site data; classifying objects at the construction site in the three-dimensional model to obtain dynamic objects and static objects, and obtaining safety management measures based on the analysis results; using digital twin technology to perform visual simulation of the safety management measures to obtain simulation results; obtaining safety management criteria, and evaluating the simulation results based on the safety management criteria to obtain simulation evaluation results, and if the simulation evaluation results do not meet the safety management criteria, iteratively optimizing the safety management measures until the simulation evaluation results meet the safety management criteria; previewing and verifying the proposed safety management measures through visual simulation, thereby solving the problem of being unable to fully grasp the real-time status of the construction site and the difficulty in accurately predicting and controlling the safety hazards caused by dynamic changes, and greatly enhancing the foresight and effectiveness of safety management decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the steps of a construction engineering construction process safety management method in one embodiment of the present invention; Figure 2 It is a structural block diagram of a construction engineering construction process safety management device in one embodiment of the present invention; Figure 3 It is a schematic block diagram of the structure of a computer device according to an embodiment of the present invention.

[0016] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0017] 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.

[0018] like Figure 1 As shown, Figure 1 This is a schematic diagram of the steps of a construction engineering construction process safety management method in one embodiment of the present invention; In one embodiment of the present invention, a construction process safety management method is provided, comprising the following steps: Step S1, obtaining construction site data of a building project, and constructing a three-dimensional model of the construction site based on the construction site data.

[0019] Specifically, drones equipped with high-definition cameras or laser radar equipment are used to collect all-round and high-precision data on the construction site to generate point cloud data or high-definition images. Various sensors, such as GPS receivers, motion sensors, and environmental monitoring sensors, are arranged at the construction site to collect information such as geographic location, object movement status, and environmental parameters in real time. Integrate the architectural engineering drawings in the design stage, including professional drawings such as structure, architecture, water, electricity, and heating, and extract necessary two-dimensional plane and section information. Detailed records and photos are taken of the manual activities, material stacking, temporary facilities, and mechanical equipment layout at the construction site. De-noise, classify, and segment the point cloud data collected by drones or laser radars to extract point cloud models of topography and the main structure of the building. Using computer vision technology, fine texture maps and geometric models are generated through multi-angle image stitching and three-dimensional reconstruction algorithms. According to CAD drawings, the two-dimensional design information is converted into three-dimensional model elements, including basic components such as beams, columns, plates, and walls. The point cloud model, image model, and CAD model are integrated to form a comprehensive three-dimensional model containing spatial position, shape, size, and material properties. According to the actual situation on site, the initially constructed 3D model is supplemented and corrected in detail to ensure the consistency between the model and the construction site. Relevant information such as material properties, construction progress, safety warning areas, etc. are mounted on the 3D model to achieve visual association of information. As the construction progresses, the on-site data is continuously updated to keep the 3D model synchronized with the construction site, so as to facilitate tracking and management of the construction process.

[0020] The above steps can achieve the following technical effects: Achieve three-dimensional visualization of the construction site, which is convenient for managers to intuitively understand and control the overall situation. Improve decision-making efficiency in construction planning, material scheduling, construction organization, etc. Collision detection and spatial conflict analysis can be performed to avoid design defects and technical errors in construction in advance. Effectively manage and monitor construction safety, such as tracking and risk warning of dynamic objects. Support digital twin applications to provide a real and reliable basis for construction process simulation and emergency plan formulation. Promote collaborative work in construction projects and strengthen information sharing and communication among all participants.

[0021] Step S2, classifying the objects at the construction site in the three-dimensional model to obtain dynamic objects and static objects, and tracking the dynamic objects by GPS technology to obtain the trajectories of the dynamic objects.

[0022] Specifically, first identify and mark all physical objects in the 3D model, distinguishing which are static objects that are fixed (e.g., building structures, fixed positions of mechanical equipment, etc.) and which are dynamic objects whose positions change over time (e.g., construction vehicles, cranes, worker movement paths, etc.). According to the characteristics of each object in the model, add corresponding labels to it, such as "static" or "dynamic", and may be further refined into specific types (e.g., tower cranes, excavators, transport vehicles, etc.). Ensure that all dynamic objects that need to be tracked are equipped with GPS positioning devices that can send location information in real time or periodically. Establish a data interface to receive real-time location data from the GPS device and convert it into location information in a unified geographic coordinate system. Match the received GPS location data with the corresponding dynamic objects in the 3D model, and map the real-world location information to the virtual model. Based on the continuously received GPS coordinate points of the dynamic objects, calculate their precise movement trajectories in 3D space through algorithms such as interpolation. Load the calculated trajectory data into the 3D model in real time, and the model of the dynamic object will be dynamically updated and displayed along its actual trajectory.

[0023] The above steps can achieve the following technical effects: By classifying and tracking dynamic and static objects on the construction site, managers can clearly understand the real-time distribution and use of site resources and improve resource allocation efficiency. Real-time monitoring of the position and movement trajectory of dynamic objects can help to promptly detect abnormal behavior or potential safety hazards and prevent accidents. Based on accurate dynamic trajectory data, scientific decision-making basis can be provided for construction schedule scheduling, equipment scheduling, staffing, etc. The intuitive display of dynamic trajectories on the three-dimensional model is conducive to all parties involved to quickly understand the construction progress and dynamic changes, and enhance the efficiency of collaborative work.

[0024] Step S3: dynamically update the three-dimensional model based on the trajectory of the dynamic object to obtain an updated three-dimensional model.

[0025] Specifically, the acquired GPS trajectory data of dynamic objects are integrated and preprocessed to ensure that the data is complete and continuous, suitable for real-time updating of the three-dimensional model. The model components corresponding to the dynamic objects are found in the three-dimensional model, and the association relationship with the actual objects is established, so that the model components can be dynamically adjusted according to the actual trajectory data. The integrated trajectory data is used to drive the dynamic objects in the three-dimensional model to perform motion simulation and create corresponding time series animations. Keyframe animation technology or physical engine can be used to simulate the real motion state so that the dynamic objects move smoothly along the actual trajectory. The latest trajectory data is read in real time, the position and posture of the dynamic objects in the model are updated instantly, and real-time rendering is performed through the three-dimensional rendering engine. Ensure that the display of the three-dimensional model is highly consistent with the actual on-site situation, including speed, direction and position information. Design an easy-to-operate user interface to allow users to choose to view the trajectory of dynamic objects and the corresponding three-dimensional model status in different time periods, or fast forward and replay trajectory animations.

[0026] The following technical effects can be achieved through the above steps: Dynamically updating the 3D model can accurately reflect the real-time scene of the construction site, helping managers to effectively grasp the real-time status and activity range of dynamic objects. For issues involving safety, scheduling, etc., it can provide near-real-time feedback, which helps to make timely decision responses. By analyzing the dynamic trajectory, it is possible to predict the location where the dynamic object may reach in the future, and plan and optimize the construction process in advance. Improve the communication efficiency between all parties in the project, because the 3D dynamic model provides a more intuitive and detailed visual representation, which facilitates the understanding and communication of complex information.

[0027] Step S4, performing risk analysis on the construction process based on the updated three-dimensional model to obtain risk analysis results, and obtaining safety management measures based on the risk analysis results; wherein the safety management measures include safety protection measures for on-site personnel, safety management of mechanical equipment, and dynamic risk control during the construction process.

[0028] Specifically, using updated 3D models, systematically sort out the possible risk points that may appear during the construction process, such as high-altitude working areas, cross-working areas, and heavy machinery operation spaces, and analyze potential safety hazards in combination with the dynamic object trajectories in the model. According to the construction scene presented by the 3D model, use relevant algorithms or evaluation systems to quantitatively evaluate the identified risk points, considering factors including but not limited to personnel density, mechanical movement path, structural stability, etc. Use updated 3D models to dynamically simulate the construction process, predict the risk development trend and possible consequences under various construction conditions, and further refine the risk level and impact range. Based on the results of risk analysis, design and formulate corresponding personnel safety protection plans for specific risk points, such as adding safety isolation belts, arranging full-time supervision, and strengthening the use of personal protective equipment. According to the operation trajectory and working environment of mechanical equipment in the model, formulate equipment safety operation procedures, maintenance plans, and shutdown disposal plans in emergency situations. Combined with the 3D model, real-time monitoring of construction progress and changes in on-site status can be achieved, and the construction plan can be dynamically adjusted to reduce the risk level, such as adjusting the order of operations and limiting high-risk operations during specific periods of time.

[0029] The above steps can achieve the following technical effects: Through in-depth analysis of the 3D model, potential risk sources can be more accurately identified, risk warning capabilities can be improved, and accidents can be reduced. Three-dimensional and refined management of the construction site can be achieved, and control over multi-dimensional risk factors such as people, machines, objects, and the environment can be enhanced. The real-time updated 3D model makes risk management more timely and targeted, which is conducive to rapid response and flexible adjustment of management measures to ensure the safety and controllability of the construction process. It improves the scientificity and transparency of construction safety management, promotes coordination and cooperation among all links, and effectively improves construction efficiency and project quality.

[0030] Step S5: Use digital twin technology to perform visual simulation of safety management measures to obtain simulation results.

[0031] Specifically, create a digital twin model that is consistent with the actual construction site, use the updated 3D model as the core component of the twin, connect it to the real-time data interface, and import dynamic data including personnel, equipment, and environment. Digitally encode the formulated safety management measures (such as safety protection measures for on-site personnel, safety management regulations for mechanical equipment, and dynamic risk control strategies during construction) and integrate them into the digital twin model. Set different simulation scenarios according to the construction progress and possible situations, such as sudden safety accidents, construction under special weather conditions, etc., to ensure that the simulation covers a variety of possible scenarios. Start the simulation function of the digital twin system, let the encoded safety management measures run in the simulation environment, and observe the implementation effect and execution of the measures in different scenarios. Display the simulation process and results through a 3D visualization interface, including but not limited to personnel evacuation routes, equipment operation demonstrations, and the process of risk control measures taking effect. Analyze the simulation results and extract key indicators and data, such as response time, risk elimination efficiency, and resource scheduling rationality.

[0032] The following technical effects can be achieved through the above steps: By simulating the implementation effects of safety management measures in different scenarios, the effectiveness of measures and possible problems can be evaluated before actual implementation, so as to optimize and improve. Visual simulation provides management with an intuitive basis for decision-making, which helps them understand the impact of various measures and formulate a more scientific and reasonable safety management system. Testing and adjusting safety management measures in a simulated environment reduces cost losses caused by practical errors, and also improves the overall operational efficiency of the construction site. The simulation results can also be used as material for employee safety education and training to help workers become familiar with and master the correct methods of implementing safety management measures.

[0033] Step S6, obtaining safety management criteria, evaluating the simulation results based on the safety management criteria, and obtaining simulation evaluation results. If the simulation evaluation results do not meet the safety management criteria, iteratively optimizing the safety management measures until the simulation evaluation results meet the safety management criteria.

[0034] Specifically, collect relevant national standards, industry specifications, and internal safety regulations and systems of enterprises, clarify specific safety management requirements and goals, and convert them into a quantitative or qualitative evaluation indicator system. Compare and analyze the simulation results based on digital twin technology with the predetermined safety management criteria, and check whether the simulation results meet the criteria requirements one by one according to the established evaluation indicators. Through data analysis and model deduction, judge the degree of consistency between the actual implementation effect of safety management measures and the expected goals during the simulation process. If the simulation evaluation results show that some safety management measures fail to meet the criteria standards, conduct in-depth research on the unqualified parts to find out the reasons and bottlenecks of the problems. According to the feedback from the simulation evaluation results, revise and improve the existing safety management measures, which may include adding new safety protection measures, adjusting the implementation of existing measures, and optimizing the construction process to reduce risks. The updated and optimized measures are embedded in the digital twin model again for a new round of simulation operation. Repeat the above steps and continue the iterative process of simulation, evaluation, and optimization until the simulation evaluation results show that all safety management measures can meet the established safety management criteria.

[0035] The above steps can achieve the following technical effects: through repeated simulation and optimization, ensure that safety management measures are closely integrated with the actual construction process, and achieve accurate adaptation and effective implementation. A closed-loop optimization mechanism for safety management measures has been established, which helps to continuously improve the level of safety management during the construction process. Through simulation experiments, problems can be discovered and corrected before actual construction, greatly reducing the risk of accidents caused by improper safety management. Through continuous iterative optimization, human and material resources can be reasonably deployed and used to improve construction efficiency and reduce costs.

[0036] In a specific embodiment, the construction site data includes construction terrain data, building layout data, dynamic object data, historical accident data, and public facilities and infrastructure data.

[0037] In a specific embodiment, constructing a three-dimensional model of the construction site based on the construction site data includes: Taking aerial photos of the construction site by a drone to obtain images of the construction site, extracting data from the images of the construction site to obtain construction site data of the building project; Converting the construction site data into a standard data set for a three-dimensional modeling program; Using 3D modeling software, constructing a 3D model of the construction site based on the standard data set to obtain a preliminary 3D model of the construction site; Performing component identification and division of the building object in the preliminary three-dimensional model through a preset component identification algorithm to obtain building element subdivisions; wherein the building elements include building envelope components, electromechanical pipeline components, and site facility components; The building attributes are obtained by consulting the on-site construction log, and attribute values ​​are assigned to the building element segments based on the building attributes through an attribute labeling algorithm to obtain building element segments with attributes; wherein the attributes include safety attributes, environmental attributes, life cycle attributes, construction attributes, and structural attributes; Based on the subdivision of the building elements with attributes, a three-dimensional model of the construction site is obtained.

[0038] Specifically, first, use drones equipped with high-definition cameras to take comprehensive aerial photos of the construction site to obtain high-resolution images of the construction site. Process the images obtained by drone aerial photography, use image recognition and machine learning technology to extract key construction site feature information, such as building outlines, roads, facility layouts, etc., and convert this information into construction site data for construction projects. Data format conversion: Convert the extracted construction site raw data to meet the requirements of the 3D modeling program to form a standard data set, which includes but is not limited to coordinate information, shape description, size parameters, etc. 3D modeling: Use professional 3D modeling software, such as Revit, SketchUp or BIM-related software, import the standard data set into the software, and automatically or manually build a preliminary 3D model of the construction site. Component identification and division: Use a preset component identification algorithm to automatically decompose the building objects in the preliminary 3D model, and identify the building envelope components (such as walls, roofs, doors and windows), electromechanical pipeline components (such as electrical lines, water supply and drainage pipelines), and site facility components (such as scaffolding, temporary roads, and safety fences). Check the construction log: Check the on-site log during the construction process to obtain specific attribute information of the building elements, including but not limited to safety requirements, environmental impact, service life, construction technology, structural bearing capacity, etc. Use the attribute annotation algorithm to directly attach the acquired building attribute information to the corresponding building element segment, that is, assign attributes to each segmented building element to make it a 3D model element with rich information. Integrate attribute information: Integrate the building element segments with attributes into the entire 3D model to form a 3D model of the construction site containing detailed attribute information. This model can not only reflect the spatial layout, but also reflect the attribute characteristics of each part, providing rich construction management data support.

[0039] The above steps can achieve the following technical effects: By building a three-dimensional model with attributes, it is possible to achieve refined management of the construction site and improve the construction quality and safety management level. Provide detailed data reference for construction planning, material procurement, construction schedule, risk warning, environmental monitoring and other decisions. It is helpful for efficient transmission and collaborative work between different professions and departments, reducing misunderstandings and conflicts. Through three-dimensional visualization technology, it is convenient for non-professionals to quickly understand complex construction situations and improve the communication efficiency of all parties in the project. The attribute information contained in the model can be used to simulate and predict the construction process, discover potential problems in advance, and optimize the construction plan.

[0040] In a specific embodiment, objects at the construction site in the three-dimensional model are classified to obtain dynamic objects and static objects, and the dynamic objects are tracked by GPS technology to obtain the trajectory of the dynamic objects, including: Identify the entity objects in the three-dimensional model to obtain identified objects, and classify the identified objects to obtain dynamic objects and static objects; The real-time dynamic location data of the dynamic object is collected through a preset GPS positioning system to obtain a continuous geographical location information stream; The Kalman filter algorithm is used to calculate the trajectory of the continuous geographic location information stream to obtain the precise motion trajectory of the dynamic object in the three-dimensional model; wherein the precise motion trajectory is used as the trajectory of the dynamic object.

[0041] Specifically, first, use the built-in or integrated intelligent recognition function of the 3D modeling software to identify and mark all physical objects in the 3D model. Classify the identified physical objects and divide them into dynamic objects (such as construction vehicles, machinery, personnel, etc.) and static objects (such as completed building structures, fixed facilities, etc.) according to whether they move or change their state. Equip the dynamic objects with GPS positioning equipment to obtain and record their location data in real time. Use the preset GPS positioning system to continuously collect the latitude and longitude coordinates and timestamps of the dynamic objects to form a continuous geographic location information stream. The continuous geographic location information stream is processed using the Kalman filter algorithm, which can combine historical location information and current measurement errors to optimally estimate the real location of the dynamic object. Through iterative calculation and optimization of these location information, the precise motion trajectory of the dynamic object is finally determined inside the 3D model. This trajectory reflects the spatial distribution and movement path of the dynamic object in the real construction site that changes over time.

[0042] The above steps can achieve the following technical effects: Through GPS tracking and Kalman filtering algorithms, the behavior patterns and operating status of dynamic objects on the construction site can be understood in real time, which is conducive to managers to adjust plans and dispatch resources in a timely manner. The accurate calculation of dynamic trajectories is not only helpful for post-analysis, but also can intuitively display the history and current status of dynamic object activities in the three-dimensional model, improving the understanding and control of complex construction sites. For possible safety hazards, such as dynamic objects approaching dangerous areas, early warnings can be issued according to their trajectories, so that preventive measures can be taken to avoid accidents.

[0043] In a specific embodiment, identifying the entity object in the three-dimensional model to obtain the identified object includes: Inputting the entity object in the three-dimensional model into a preset recognition algorithm for object recognition; wherein the recognition algorithm includes a C2f module, an SPDConv module, a GsConv module, a neck network and a YOLOv5 module; Extracting object features of entity objects in the three-dimensional model through the C2f module to obtain extracted object features; Performing spatial depth conversion on the extracted object features through the SPDConv module to obtain spatial depth enhanced features; Performing lightweight convolution processing on the spatial depth enhancement feature through the GsConv module to obtain optimized features; Performing multi-level feature fusion on the optimized features through the neck network to obtain fusion features of different scales; The fused features are identified through the YOLOv5 module to obtain an identified object; wherein the identified object includes a dynamic object and a static object, the dynamic object includes construction vehicles, machinery and personnel, and the static object includes a completed building structure and fixed facilities.

[0044] Specifically, YOLOv5 is used as the basic framework of the recognition algorithm. The C2f module is embedded in the feature extraction stage of the YOLOv5 backbone network, which can extract object features of physical objects in the three-dimensional model to avoid feature information loss. The SPDConv module is introduced after the C2f of the backbone network. SPDConv consists of a space-to-depth layer and a non-strided convolution layer, which can convert the features of the spatial dimension to the channel dimension while retaining the global spatial feature information. The GsConv module is used in the neck network in combination with some standard convolutions to reduce the number of parameters and computational complexity of the model while maintaining the accuracy and robustness of disease recognition. GsConv is a lightweight convolution layer design that combines dense and sparse convolutions. By introducing global sparsity, it maintains connections between channels and only performs convolution calculations on sparse locations. The neck network further fuses these features and then sends the fusion results to the YOLOv5 module for recognition. In a specific embodiment, the process of identifying a physical object in a three-dimensional model can be decomposed into the following key steps, and YOLOv5 is used as the basic framework in combination with C2f, SPDConv, GsConv modules and the neck network for identification: Object feature extraction: First, the C2f module is used to extract features of the physical object in the three-dimensional model. The C2f module enhances the model's perception of detail features and semantic features at different scales through feature branch processing and fusion strategies, thereby avoiding the loss of feature information. The output of this step is the extracted object features. Spatial depth conversion: Next, the SPDConv module performs spatial depth conversion on the object features extracted by the C2f module. SPDConv consists of a space-to-depth layer and a non-strided convolution layer, which converts the features of the spatial dimension to the channel dimension while retaining the global spatial feature information. This step enhances the expressiveness of the features, and the output is a spatial depth enhanced feature. Lightweight convolution processing: Then, the GsConv module performs lightweight convolution processing on the spatial depth enhanced features output by SPDConv. As a lightweight convolution design, GsConv introduces global sparsity. While maintaining connections between channels, it only performs convolution calculations on sparse locations, reducing the amount of calculations and parameters while maintaining recognition accuracy and robustness. The output of this step is the optimized features. Multi-level feature fusion: The neck network further performs multi-level feature fusion on the optimized features of the GsConv module. This process integrates feature maps at different levels through feature fusion techniques such as upsampling and splicing, captures feature information from coarse-grained to fine-grained, and provides comprehensive multi-scale feature support for the final target recognition. Target recognition: Finally, the YOLOv5 module receives the multi-scale features fused by the neck network and performs target recognition. As an efficient target detection framework, YOLOv5 can identify and locate physical objects in three-dimensional models.The objects to be identified are divided into two categories: dynamic objects and static objects: Dynamic objects include construction vehicles, machinery, and personnel, which are moving or changing in the 3D model. Static objects include completed building structures and fixed facilities, which are stationary in the 3D model. Through this series of steps, the recognition algorithm can effectively identify different types of entity objects from the 3D model and provide accurate object information for further application processing.

[0045] In a specific embodiment, risk analysis is performed on the construction process based on the updated three-dimensional model to obtain risk analysis results, and safety management measures are obtained based on the risk analysis results, including: Conduct in-depth analysis of the updated 3D model using the accident tree analysis method to identify potential risk sources; Perform risk analysis on the construction process based on the potential risk sources to obtain risk analysis results; wherein the risk analysis results are a list of risks that may be faced during the construction process; the risk list includes multiple risk events and risk coefficients corresponding to the risk events; Based on the risk coefficient, a qualitative and quantitative risk assessment is performed on each of the risk events to obtain a corresponding risk level; Determine targeted safety management measures based on the corresponding risk level.

[0046] Specifically, in this scheme, by conducting risk analysis on the construction process, the entire process of obtaining safety management measures based on the updated three-dimensional model involves multiple interrelated and logically tight steps. These steps are carried out in sequence, and finally a safety management strategy that can effectively deal with potential risks in the construction process is generated. First, the scheme uses the updated three-dimensional model as the basis for in-depth analysis using the accident tree analysis method. The accident tree analysis method is a systematic analysis tool that identifies and analyzes potential risk sources by constructing a logical tree structure. In this process, the updated three-dimensional model provides detailed spatial and structural information of the construction site, so that the accident tree analysis can more accurately capture the possible risk sources in the construction process. These risk sources may include structural weaknesses, improper operation of equipment, material degradation, changes in environmental conditions, etc. Through in-depth analysis, the accident tree can effectively identify and classify these risk sources one by one, laying the foundation for subsequent risk analysis. After identifying the potential risk sources, a risk analysis of the construction process is performed based on these risk sources. The goal of risk analysis is to generate a comprehensive risk analysis result, which not only lists the various risks that may be faced during the construction process, but also obtains the corresponding risk coefficients of each risk event through detailed analysis. The result of risk analysis is actually a list of multiple risk events and their corresponding risk coefficients, where each risk event describes a possible risk situation, such as equipment failure, worker injury or environmental pollution. The risk coefficient is a quantitative assessment of the possibility and severity of these risk events. These coefficients can help us understand which risk events are the most important to pay attention to during the construction process. After obtaining the results of this risk analysis, the next step is to conduct qualitative and quantitative risk assessments on each risk event based on these risk coefficients. Qualitative assessment mainly analyzes the nature of risk events through experience, expert judgment, etc., such as judging whether a certain risk event has a certain degree of suddenness or accumulation. Quantitative assessment uses mathematical models and statistical methods to quantify the probability of occurrence of risk events and the losses they may cause. By combining qualitative and quantitative assessments, a risk level is finally determined for each risk event. The risk level not only reflects the potential degree of harm of the risk event, but also provides clear guidance for the formulation of subsequent safety management measures. Finally, based on these risk levels, targeted safety management measures are determined. This process is a key part of the entire plan and the core step in the final implementation of risk management. According to different risk levels, safety management measures may include strengthening safety training, optimizing construction processes, adding monitoring equipment, conducting regular inspections, etc. These measures are aimed at reducing the probability of various risks during the construction process, or minimizing the impact of risks when they occur.For high-risk events, safety management measures are often more stringent and complex, such as requiring multiple protections, real-time monitoring, and the preparation of emergency plans; while for low-risk events, management measures may be more flexible and simple, mainly focusing on prevention. The entire program systematizes and structures the complex risk management process through multiple interlocking steps. Each step is closely centered on the updated three-dimensional model, from preliminary risk source identification to detailed risk event analysis, and then to the final formulation of safety management measures, ensuring that all risks that may be faced during the construction process can be fully evaluated and managed. This systematic risk management approach not only improves the reliability of construction safety, but also provides clear guidance for actual operations, ultimately ensuring the smooth progress of construction projects and the safety of construction personnel.

[0047] The above steps can achieve the technical effect of the technology: through the three-dimensional model and accident tree analysis, potential risk points can be identified more accurately, making risk management more targeted. Foreseeing possible risk events in advance can help reduce sudden accidents, reduce project costs and the risk of delays. Safety management measures based on risk levels can help to reasonably allocate safety resources and give priority to solving the most urgent and important safety hazards. Through scientific risk assessment and control measures, the overall safety of the construction process can be effectively improved to protect the lives of workers and project assets.

[0048] In a specific embodiment, obtaining a safety management criterion, evaluating the simulation result based on the safety management criterion to obtain a simulation evaluation result, and if the simulation evaluation result does not meet the safety management criterion, iteratively optimizing the safety management measures until the simulation evaluation result meets the safety management criterion, including: Obtaining construction safety regulations, and extracting information from the construction safety regulations to obtain safety management guidelines; Using a fuzzy comprehensive evaluation algorithm, based on the safety management criteria, the simulation results are qualitatively and quantitatively evaluated to obtain a simulation evaluation result; Comparing the simulation assessment results with the safety management criteria to obtain a comparison result; wherein the comparison result includes a safety performance index; Using the particle swarm optimization algorithm, when the comparison results do not meet the safety management criteria, the existing safety management measures are optimized and adjusted until the simulation evaluation results meet the safety management criteria.

[0049] Specifically, first, we comprehensively collect relevant national and local construction safety regulations and documents, including but not limited to safety production laws and regulations, industry standards, and specification guidelines. We conduct in-depth study and information extraction of the collected construction safety regulations, and summarize the specific safety management criteria applicable to the current construction project, which will serve as the standard basis for subsequent simulation evaluation. Using the fuzzy comprehensive evaluation algorithm, we transform the extracted safety management criteria into an operational evaluation index system. The simulation results of the construction process based on the updated three-dimensional model are input into the fuzzy comprehensive evaluation model, and the various safety factors in the simulation process are evaluated qualitatively and quantitatively, and the simulation evaluation results are calculated, including the safety performance index that reflects the overall safety level. The simulation evaluation results are compared with the safety management criteria to determine the degree of compliance between the two and obtain the comparison results. If the safety performance index does not meet the preset safety management criteria requirements, it indicates that the current construction plan has safety risks. For the situation where the comparison results show that the safety management criteria are not met, the particle swarm optimization algorithm is used to iteratively optimize the safety management measures. The optimization goal is set to improve the safety performance index so that the simulation evaluation results meet the safety management criteria. The particle swarm optimization algorithm simulates the intelligent behavior of the group, finds the optimal solution through continuous iteration, and gradually adjusts the existing safety management measures, including but not limited to improving construction technology, strengthening the configuration of safety facilities, and improving emergency plans.

[0050] The above steps can bring the following technical effects: ensure that the safety management of the construction process is directly connected to national and industry regulations, and enhance compliance and authority. Through the fuzzy comprehensive evaluation algorithm, a multi-dimensional, multi-level qualitative and quantitative evaluation of the safety status of the complex construction process is achieved. The particle swarm optimization algorithm can quickly and effectively find the best combination of safety management measures, and realize real-time optimization and adjustment of parts that do not meet safety requirements. The entire process forms a feedback loop based on simulation and evaluation results, which effectively promotes the continuous improvement and enhancement of construction safety management.

[0051] In a specific embodiment, a fuzzy comprehensive evaluation algorithm is used to perform qualitative and quantitative evaluation on the simulation results based on the safety management criteria to obtain simulation evaluation results, including: Performing information entropy increase processing on the safety management criteria to obtain preliminary safety management criteria; Performing a multi-dimensional trade-off spatial analysis on the preliminary safety management criteria to obtain a spatial analysis result; wherein the spatial analysis result is used to ensure whether the preliminary safety management criteria are applicable to the current construction environment; If applicable, a preset fuzzy comprehensive evaluation algorithm is used to perform multi-scale fusion processing on the preliminary safety management criteria to generate a comprehensive safety management criteria set; Performing fuzzy interpolation evaluation on the simulation results based on the comprehensive safety management criteria set to obtain preliminary qualitative evaluation results; The preliminary qualitative assessment results are analyzed using a nonlinear fuzzy deep learning framework to generate quantitative safety performance indicators; Based on the fuzzy Gaussian Bayesian network, dual mapping is performed on the quantitative safety performance indicators to obtain simulation evaluation results; Check whether there are any simulation assessment results that do not meet the preliminary safety management criteria in the simulation assessment results. If so, generalize and decompose the simulation assessment results that do not meet the preliminary safety management criteria and optimize and adjust them to gradually correct the safety management measures until the simulation assessment results that do not meet the preliminary safety management criteria meet the safety management criteria.

[0052] Specifically, in this step scheme, the core of the whole process is to use fuzzy comprehensive evaluation algorithm to conduct qualitative and quantitative evaluation of simulation results to ensure that the application of safety management criteria meets the needs of the current construction environment. The implementation of this scheme involves multiple key steps, which are sequentially interrelated and logically advanced to finally generate a comprehensive and accurate safety assessment result. First, at the beginning of the scheme, we perform information entropy increase on the safety management criteria. The purpose of information entropy increase is to increase the complexity and adaptability of the preliminary safety management criteria by introducing and considering more uncertain factors. This process allows us to capture more subtle variable fluctuations and potential risks when dealing with safety management issues, thereby obtaining a more comprehensive preliminary safety management criteria. These preliminary criteria can be regarded as the cornerstone of the safety management system, and they will serve as the main basis for evaluating simulation results in subsequent steps. Next, a multidimensional trade-off space analysis is performed on these preliminary safety management criteria. The multidimensional trade-off space analysis ensures that these criteria are applicable to the current construction environment by examining the trade-off relationship between different safety factors. This process not only considers the relative importance of different factors, but also identifies the applicability of the preliminary safety management criteria through a multidimensional evaluation. The results of the spatial analysis will tell us whether these preliminary guidelines can accurately reflect the actual needs in the current construction environment. If the analysis results show that the guidelines are applicable, we proceed to the next step; if not, we need to adjust or redesign the guidelines to ensure their applicability. When the preliminary safety management guidelines are confirmed to be applicable to the current environment, we use the preset fuzzy comprehensive evaluation algorithm to perform multi-scale fusion processing on these guidelines. Multi-scale fusion processing allows us to integrate information from various sources at different scales and expand the preliminary safety management guidelines into a more comprehensive set of safety management guidelines. The key to this step is the fusion process, which integrates information from multiple levels and scales into an overall safety management framework, thereby ensuring that the comprehensive safety management guidelines can cover various potential safety risks and countermeasures. Based on this comprehensive safety management guidelines, we perform fuzzy interpolation evaluation on the simulation results. Fuzzy interpolation evaluation is an important qualitative analysis process. By mapping the simulation results to the comprehensive safety management guidelines set, we can generate preliminary qualitative evaluation results. This process not only helps to identify potential problems in the simulation results, but also preliminarily screens out risk factors that meet or do not meet the safety management guidelines. Then, the preliminary qualitative evaluation results are analyzed using a nonlinear fuzzy deep learning framework. This step introduces deep learning technology, which processes complex safety performance data in a nonlinear way and ultimately generates quantitative safety performance indicators. The nonlinear fuzzy deep learning framework is able to process large-scale, complex safety data, thereby extracting the key indicators that are most important for safety management and quantifying these indicators into specific data that can be further analyzed. These quantitative indicators provide a solid foundation for subsequent further analysis and decision-making.Based on the fuzzy Gaussian Bayesian network, we perform dual mapping on these quantitative safety performance indicators. The dual mapping process is the process of generating simulation evaluation results by matching quantitative indicators with safety management criteria. This process ensures that the final simulation evaluation results not only reflect the findings in the qualitative analysis, but also accurately quantify these findings into specific performance indicators, so that the simulation evaluation results can more intuitively and accurately reflect the actual safety status of the construction process. After generating the simulation evaluation results, we check the results, paying special attention to whether there are any parts that do not meet the preliminary safety management criteria. If non-compliant evaluation results are found, they need to be corrected through generalization decomposition and optimization adjustment. The generalization decomposition process decomposes complex problems into smaller controllable units, and then gradually optimizes these units to ensure that all evaluation results can eventually meet the requirements of the preliminary safety management criteria. This gradual adjustment process can ensure the effectiveness and adaptability of safety management measures, thereby achieving the ultimate safety goal. In summary, this solution uses multi-step analysis and processing, and utilizes fuzzy comprehensive evaluation algorithms from preliminary safety management criteria to the final comprehensive safety management strategy, ensuring that each step has undergone rigorous analysis and optimization. The final simulation evaluation results are not only comprehensive and accurate, but can also effectively guide safety management work during the construction process.

[0053] In a specific embodiment, digital twin technology is used to perform visual simulation of safety management measures to obtain simulation results, including: Use digital twin technology to digitize safety management measures and obtain digital safety management measures; The digital safety management measures are virtually embedded in the three-dimensional model to obtain the safety measures simulation deployment; wherein the safety measures simulation deployment is a simulation environment configuration for implementing the safety management measures during the construction process; A continuous dynamic simulation is performed on the simulated deployment of the safety measures to obtain a dynamic simulation result.

[0054] Specifically, first, the various safety management measures formulated are described in detail digitally, including the content of the measures, the execution process, the scope of influence, the time nodes and other factors, and converted into rules and instructions that can be run in a digital environment to form digital safety management measures. The digitally processed safety management measures are deeply integrated with the three-dimensional construction site model, that is, these measures are deployed in a virtual environment, the functions are configured and the effects are displayed, and the simulation deployment of safety measures is constructed. For example, the specific location and scope of action of safety fences, warning signs, safety passages, emergency equipment, etc. can be virtually represented. The continuous dynamic simulation function of digital twin technology is used to perform real-time or scheduled cycle dynamic simulation of the constructed safety measures simulation deployment. In the simulation process, various activities, equipment operation, personnel flow and other scenes in the construction process are simulated to test the actual implementation effect of safety measures and the ability to respond to emergencies in different construction stages and various construction conditions.

[0055] The above steps can bring the following technical effects: Through the digital twin technology, the visual simulation of safety management measures can be realized, which can finely manage the construction process and help to discover and make up for the safety loopholes that may be overlooked in reality. The simulation process can provide real-time feedback on the effect of the implementation of safety measures, which helps managers to predict potential risks in advance, quickly adjust and optimize measures, and ensure construction safety. Through virtual environment simulation, there is no need to repeatedly try and modify safety measures in actual construction, which greatly reduces the cost of trial and error and potential safety risks. Visual safety measures simulation can also be used for training and education, so that construction personnel can more intuitively understand and follow safety regulations, and improve the safety awareness and execution of all employees.

[0056] The above describes the construction process safety management method of the construction project in the embodiment of the present invention. The following describes the construction process safety management device of the construction project in the embodiment of the present invention. Figure 2 In one embodiment of the present invention, a construction engineering construction process safety management device includes: An acquisition module 21 is used to acquire construction site data of a building project and construct a three-dimensional model of the construction site based on the construction site data; A classification module 22 is used to classify objects at the construction site in the three-dimensional model to obtain dynamic objects and static objects, and to track the dynamic objects by using GPS technology to obtain trajectories of the dynamic objects; An updating module 23, configured to dynamically update the three-dimensional model based on the trajectory of the dynamic object to obtain an updated three-dimensional model; An analysis module 24, configured to perform risk analysis on the construction process based on the updated three-dimensional model, obtain risk analysis results, and obtain safety management measures based on the risk analysis results; The simulation module 25 is used to use the digital twin technology to perform visual simulation of the safety management measures and obtain simulation results; The evaluation module 26 is used to obtain the safety management criteria, evaluate the simulation results based on the safety management criteria, and obtain simulation evaluation results. If the simulation evaluation results do not meet the safety management criteria, the safety management measures are iteratively optimized until the simulation evaluation results meet the safety management criteria.

[0057] In this embodiment, for the specific implementation of each unit in the above device embodiment, please refer to the above method embodiment, which will not be repeated here.

[0058] Reference Figure 3 The present invention also provides a computer device in an embodiment, wherein the internal structure of the computer device can be as follows: Figure 3 As shown. The computer device includes a processor, a memory, a display screen, an input device system, a network interface and a database connected through a system bus. Among them, the processor designed by the computer is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the corresponding data in this embodiment. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the above method is implemented.

[0059] Those skilled in the art will understand that Figure 3 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied.

[0060] An embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the above method is implemented. It can be understood that the computer-readable storage medium in this embodiment can be a volatile readable storage medium or a non-volatile readable storage medium.

[0061] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided by the present invention and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double-speed data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM.

[0062] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0063] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A construction engineering construction process safety management method, characterized by: The following steps are involved: Acquire construction site data of a construction project, and construct a three-dimensional model of the construction site based on the construction site data; Classifying objects at the construction site in the three-dimensional model to obtain dynamic objects and static objects, and tracking the dynamic objects by using GPS technology to obtain trajectories of the dynamic objects; Dynamically updating the three-dimensional model based on the trajectory of the dynamic object to obtain an updated three-dimensional model; Conduct risk analysis on the construction process based on the updated three-dimensional model to obtain risk analysis results, and obtain safety management measures based on the risk analysis results; wherein the safety management measures include safety protection measures for on-site personnel, safety management of mechanical equipment, and dynamic risk control during the construction process; Use digital twin technology to conduct visual simulation of safety management measures and obtain simulation results; Obtain safety management criteria, evaluate the simulation results based on the safety management criteria to obtain simulation evaluation results, and if the simulation evaluation results do not meet the safety management criteria, iteratively optimize the safety management measures until the simulation evaluation results meet the safety management criteria.

2. The construction process safety management method of a construction project according to claim 1 is characterized by: The construction site data includes construction terrain data, building layout data, dynamic object data, historical accident data, and public facilities and infrastructure data.

3. The construction process safety management method of a construction project according to claim 1 is characterized by: Constructing a three-dimensional model of the construction site based on the construction site data includes: Taking aerial photos of the construction site by a drone to obtain images of the construction site, extracting data from the images of the construction site to obtain construction site data of the building project; Converting the construction site data into a standard data set for a three-dimensional modeling program; Using 3D modeling software, constructing a 3D model of the construction site based on the standard data set to obtain a preliminary 3D model of the construction site; Performing component identification and division of the building object in the preliminary three-dimensional model through a preset component identification algorithm to obtain building element subdivisions; wherein the building elements include building envelope components, electromechanical pipeline components, and site facility components; The building attributes are obtained by consulting the on-site construction log, and attribute values ​​are assigned to the building element segments based on the building attributes through an attribute labeling algorithm to obtain building element segments with attributes; wherein the attributes include safety attributes, environmental attributes, life cycle attributes, construction attributes, and structural attributes; Based on the subdivision of the building elements with attributes, a three-dimensional model of the construction site is obtained.

4. The construction process safety management method of a construction project according to claim 1 is characterized by: Classifying the objects at the construction site in the three-dimensional model to obtain dynamic objects and static objects, and tracking the dynamic objects by GPS technology to obtain the trajectories of the dynamic objects, including: Identify the entity objects in the three-dimensional model to obtain identified objects, and classify the identified objects to obtain dynamic objects and static objects; The real-time dynamic location data of the dynamic object is collected through a preset GPS positioning system to obtain a continuous geographical location information stream; The Kalman filter algorithm is used to calculate the trajectory of the continuous geographic location information stream to obtain the precise motion trajectory of the dynamic object in the three-dimensional model; wherein the precise motion trajectory is used as the trajectory of the dynamic object.

5. The construction process safety management method of a construction project according to claim 1 is characterized by: Based on the updated three-dimensional model, a risk analysis is performed on the construction process to obtain a risk analysis result, and based on the risk analysis result, safety management measures are obtained, including: Conduct in-depth analysis of the updated 3D model using the accident tree analysis method to identify potential risk sources; Perform risk analysis on the construction process based on the potential risk sources to obtain risk analysis results; wherein the risk analysis results are a list of risks that may be faced during the construction process; the risk list includes multiple risk events and risk coefficients corresponding to the risk events; Based on the risk coefficient, a qualitative and quantitative risk assessment is performed on each of the risk events to obtain a corresponding risk level; Determine targeted safety management measures based on the corresponding risk level.

6. The construction process safety management method of a construction project according to claim 1 is characterized by: Acquiring a safety management criterion, evaluating the simulation result based on the safety management criterion to obtain a simulation evaluation result, and if the simulation evaluation result does not meet the safety management criterion, iteratively optimizing the safety management measures until the simulation evaluation result meets the safety management criterion, including: Obtaining construction safety regulations, and extracting information from the construction safety regulations to obtain safety management guidelines; Using a fuzzy comprehensive evaluation algorithm, based on the safety management criteria, the simulation results are qualitatively and quantitatively evaluated to obtain a simulation evaluation result; Comparing the simulation assessment results with the safety management criteria to obtain a comparison result; wherein the comparison result includes a safety performance index; Using the particle swarm optimization algorithm, when the comparison results do not meet the safety management criteria, the existing safety management measures are optimized and adjusted until the simulation evaluation results meet the safety management criteria.

7. The construction process safety management method of a construction project according to claim 1 is characterized by: Using digital twin technology, we can visualize and simulate safety management measures and obtain simulation results, including: Use digital twin technology to digitize safety management measures and obtain digital safety management measures; The digital safety management measures are virtually embedded in the three-dimensional model to obtain the safety measures simulation deployment; wherein the safety measures simulation deployment is a simulation environment configuration for implementing the safety management measures during the construction process; A continuous dynamic simulation is performed on the simulated deployment of the safety measures to obtain a dynamic simulation result.

8. A construction engineering construction process safety management device, characterized in that: include: An acquisition module, used to acquire construction site data of a building project, and to construct a three-dimensional model of the construction site based on the construction site data; A classification module is used to classify objects at the construction site in the three-dimensional model to obtain dynamic objects and static objects, and to track the dynamic objects by using GPS technology to obtain the trajectories of the dynamic objects; An updating module, used for dynamically updating the three-dimensional model based on the trajectory of the dynamic object to obtain an updated three-dimensional model; An analysis module, used to perform risk analysis on the construction process based on the updated three-dimensional model, obtain risk analysis results, and obtain safety management measures based on the risk analysis results; The simulation module is used to use digital twin technology to perform visual simulation of safety management measures and obtain simulation results; The evaluation module is used to obtain the safety management criteria, evaluate the simulation results based on the safety management criteria, and obtain simulation evaluation results. If the simulation evaluation results do not meet the safety management criteria, the safety management measures are iteratively optimized until the simulation evaluation results meet the safety management criteria.

9. A computer device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images