Intelligent construction site safety monitoring method and system based on Beidou positioning and medium

Abstract

The invention relates to an intelligent construction site safety monitoring method and system based on Beidou positioning, and the method comprises the steps: collecting the geographic information and environment parameters of a construction site region, generating a construction site map according to the geographic information, carrying out the region division of the construction site map, and obtaining a region distribution map; performing environment analysis on the construction site area according to the area distribution map and the environment parameters to obtain an environment safety report; beidou positioning data and motion data of the construction site equipment are obtained, track prediction is carried out on the Beidou positioning data according to the regional distribution map, and a corresponding motion prediction path is obtained; performing operation prediction on the construction site equipment to obtain operation safety data; and comprehensively evaluating the environment safety report and the operation safety data to obtain comprehensive evaluation information, generating corresponding safety suggestion information, and combining the comprehensive evaluation information with the safety suggestion information to obtain a comprehensive construction site report. According to the invention, effective safety management suggestions can be given for specific environment and equipment conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of smart construction site safety monitoring, and in particular to a smart construction site safety monitoring method, system and medium based on Beidou positioning. Background Art

[0002] In the modern construction industry, safety monitoring has become an indispensable part of ensuring construction site safety, improving construction efficiency and reducing accidents. With the advancement of science and technology, especially the widespread application of Beidou navigation system in safety management on construction sites. However, existing construction site safety monitoring methods often only focus on a single type of geographic information or environmental parameters, and fail to organically combine these data for comprehensive analysis, resulting in an incomplete assessment of construction site safety conditions. In addition, current safety monitoring methods often focus on data collection and recording, but do not do enough in safety assessment and providing suggestions, making it difficult to provide effective safety management suggestions for specific environments and equipment conditions. Summary of the invention

[0003] The main purpose of the present invention is to provide a smart construction site safety monitoring method, system and medium based on Beidou positioning, which can provide effective safety management suggestions based on specific environment and equipment conditions.

[0004] To achieve the above object, the present invention provides a smart construction site safety monitoring method based on Beidou positioning, comprising:

[0005] Collecting geographic information and environmental parameters of the construction site area, generating a construction site map based on the geographic information, dividing the construction site map into regions, and obtaining a regional distribution map;

[0006] Conducting environmental analysis on the construction site area according to the regional distribution map and the environmental parameters to obtain an environmental safety report;

[0007] Obtain Beidou positioning data and motion data of construction site equipment, perform trajectory prediction on the Beidou positioning data according to the regional distribution map, and obtain a corresponding predicted movement path;

[0008] Performing operation prediction on the construction site equipment according to the motion data and the predicted movement path to obtain operation safety data;

[0009] The environmental safety report and the operational safety data are comprehensively evaluated to obtain comprehensive evaluation information, and corresponding safety recommendation information is generated based on the comprehensive evaluation information. The comprehensive evaluation information and the safety recommendation information are combined to obtain a comprehensive construction site report.

[0010] Furthermore, the collecting of geographic information and environmental parameters of the construction site area, generating a construction site map according to the geographic information, and dividing the construction site map into regions to obtain a regional distribution map includes:

[0011] Perform aerial scanning of the construction site area by using a drone to obtain corresponding image data and point cloud data;

[0012] Performing image processing on the image data, and extracting the terrain features and building outlines of the construction site area, generating an initial three-dimensional map based on the terrain features and building outlines, and fusing and optimizing the point cloud data with the three-dimensional construction site model to generate the construction site map;

[0013] Performing initial regional division on the construction site map according to terrain features to obtain a preliminary regional distribution map;

[0014] The preliminary regional distribution map is optimized and adjusted according to the preset construction plan to obtain the regional distribution map.

[0015] Furthermore, the environmental analysis of the construction site area is performed based on the regional distribution map and the environmental parameters to obtain an environmental safety report, including:

[0016] Gridding the regional distribution map to obtain a grid map, assigning an environmental factor to each grid cell in the grid map according to the environmental parameter to obtain an environmental factor distribution map;

[0017] Divide the construction site area into regions according to the environmental factor distribution map to obtain environmental regions;

[0018] Conduct a comprehensive assessment of the environmental area and obtain environmental assessment results;

[0019] Conduct safety analysis on the environmental area based on the preset safety calculation rules and environmental assessment results to obtain a regional safety threshold table;

[0020] Acquire corresponding historical environmental data according to the construction site area, perform trend analysis on the historical environmental data, and obtain environmental prediction values;

[0021] Compare and analyze the environmental prediction value with the regional safety threshold table to obtain potential risk warning information;

[0022] Comprehensively analyze the environmental assessment results and potential risk warning information to obtain an environmental safety report.

[0023] Further, the obtaining of Beidou positioning data and motion data of the construction site equipment, and performing trajectory prediction on the Beidou positioning data according to the regional distribution map to obtain a corresponding predicted movement path, includes:

[0024] Acquire multi-source positioning data of the construction site equipment, perform type separation processing on the multi-source positioning data, and obtain the Beidou positioning data and the motion data;

[0025] Performing time series decomposition on the Beidou positioning data to obtain a sequence decomposition result;

[0026] Based on the regional distribution map, motion rule prediction is performed on the sequence decomposition result to obtain multiple initial prediction paths;

[0027] Extracting roads from the regional distribution map to obtain corresponding regional road data, and performing probability calculation on a plurality of initial predicted paths based on the regional road data to obtain the moving predicted path;

[0028] The probability calculation of the mobile prediction path adopts the following formula:

[0029] P(pi)=α*Σ(wj*fj(pi, rd))+(1-α)*g(pi, hd);

[0030] Among them, P(pi): probability of the i-th initial predicted path; α: balance factor, 0≤α≤1; w_j: weight of the j-th feature; fj: j-th feature function, used to evaluate the matching degree between the path and road data; pi: i-th initial predicted path; rd: regional road data; g: historical data matching function; hd: historical trajectory data.

[0031] Furthermore, the operation prediction of the construction site equipment based on the motion data and the predicted movement path to obtain operation safety data includes:

[0032] Analyze the motion state of the construction site equipment according to the motion data to obtain equipment motion characteristic parameters;

[0033] Performing correlation analysis on the device motion characteristic parameters and the predicted movement path to obtain device motion trend information;

[0034] Simulating the operation behavior of the construction site equipment according to the equipment movement trend information to obtain equipment operation simulation data;

[0035] Conduct safety risk assessment on equipment operation simulation data to obtain equipment operation risk index;

[0036] According to the preset operation safety rules, the equipment operation simulation data is processed to obtain the equipment operation safety status;

[0037] Integrate the equipment operation risk index and the equipment operation safety status to obtain the operation safety data;

[0038] Among them, the calculation formula of equipment operation risk index includes:

[0039] R = a*(1-e ∧ (-βD))*(1-e ∧ (-γV))*(1+δ*T);

[0040] R: equipment operation risk index, D: distance between the equipment and the nearest obstacle, V: current speed of the equipment, T: continuous operation time of the equipment, α, β, γ and δ: weight coefficients, e: Euler number.

[0041] Further, the environmental safety report and the operational safety data are comprehensively evaluated to obtain comprehensive evaluation information, and corresponding safety recommendation information is generated based on the comprehensive evaluation information, and the comprehensive evaluation information and the safety recommendation information are combined to obtain a comprehensive construction site report, including:

[0042] Conduct a multi-dimensional comprehensive analysis of the environmental safety report and the operational safety data to obtain a safety assessment index;

[0043] Dividing the regional distribution map into security level regions according to the security assessment index to obtain a security level distribution map;

[0044] Based on the security level distribution map, risk factors are identified for each security level area to obtain a risk factor list;

[0045] Comprehensively processing the safety level distribution map and the risk factor list to obtain the comprehensive assessment information;

[0046] Match the risk factor list with measures according to the preset safety measures database to obtain the corresponding safety operation information;

[0047] Optimizing the safety operation information according to the comprehensive evaluation information to obtain the corresponding safety recommendation information;

[0048] The comprehensive assessment information and the safety recommendation information are integrated to obtain the comprehensive construction site report.

[0049] The present invention also provides a smart construction site safety monitoring system based on Beidou positioning, which is applied to any one of the above-mentioned smart construction site safety monitoring methods based on Beidou positioning, including:

[0050] A collection module, the collection module is used to collect geographic information and environmental parameters of the construction site area, generate a construction site map based on the geographic information, divide the construction site map into regions, and obtain a regional distribution map;

[0051] An analysis module, the analysis module is used to perform environmental analysis on the construction site area according to the regional distribution map and the environmental parameters to obtain an environmental safety report;

[0052] An association module, the association module is used to obtain Beidou positioning data and motion data of construction site equipment, perform trajectory prediction on the Beidou positioning data according to the regional distribution map, and obtain a corresponding predicted movement path;

[0053] A processing module, the processing module is used to predict the operation of the construction site equipment according to the motion data and the predicted movement path to obtain operation safety data;

[0054] A control module, wherein the control module is used to comprehensively evaluate the environmental safety report and the operational safety data to obtain comprehensive evaluation information, and to generate corresponding safety recommendation information based on the comprehensive evaluation information, and to combine the comprehensive evaluation information and the safety recommendation information to obtain a comprehensive construction site report.

[0055] The present invention also provides a storage medium storing computer instructions, wherein the computer instructions are used to enable a computer to execute any of the above methods.

[0056] The present invention provides the following beneficial effects:

[0057] By dividing the geographic information of the construction site area and conducting a comprehensive analysis in combination with environmental parameters, the safety status of the construction site can be more comprehensively evaluated, improving the comprehensiveness and accuracy of safety monitoring. Trajectory prediction through Beidou positioning data and motion data can more accurately predict the movement path of the equipment, improving the accuracy and safety of construction site equipment management. By conducting a comprehensive evaluation of environmental safety reports and operational safety data, targeted safety advice information can be generated, providing specific and feasible advice for construction site safety management, and improving the efficiency and effectiveness of safety management. By conducting a comprehensive analysis of the collected data, the value of the data can be fully utilized, the efficiency of data processing and analysis can be improved, and strong support can be provided for construction site safety management. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 This is a flow chart of a smart construction site safety monitoring method based on Beidou positioning provided by the present invention;

[0059] Figure 2 This is a structural diagram of a smart construction site safety monitoring system based on Beidou positioning provided by the present invention.

[0060] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0061] 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.

[0062] The present invention is further described below in conjunction with the accompanying drawings and specific implementation methods.

[0063] Reference Figure 1 As shown, the present invention provides a smart construction site safety monitoring method based on Beidou positioning, comprising:

[0064] Step S1: Collecting geographic information and environmental parameters of the construction site area, generating a construction site map based on the geographic information, dividing the construction site map into regions, and obtaining a regional distribution map;

[0065] Step S2: Perform environmental analysis on the construction site area based on the regional distribution map and environmental parameters to obtain an environmental safety report;

[0066] Step S3: Obtain Beidou positioning data and motion data of the construction site equipment, perform trajectory prediction on the Beidou positioning data according to the regional distribution map, and obtain the corresponding predicted movement path;

[0067] Step S4: predicting the operation of the construction site equipment based on the motion data and the predicted movement path to obtain operation safety data;

[0068] Step S5: Comprehensively evaluate the environmental safety report and the operational safety data to obtain comprehensive evaluation information, generate corresponding safety recommendation information based on the comprehensive evaluation information, and combine the comprehensive evaluation information and the safety recommendation information to obtain a comprehensive construction site report.

[0069] Based on the above, the detailed steps are as follows:

[0070] Step S1: Obtain more detailed topographic information by using drones to take aerial photos. The drones are used to collect environmental parameters around the construction site, such as temperature, humidity, wind speed, air quality, etc., and real-time monitoring can also be performed through a sensor network installed around the construction site.

[0071] Generate a map of the construction site, including the location of buildings, road layout, etc. The map contains detailed geographic information such as the height of the building, the width of the road, etc.

[0072] According to the functional needs and safety management requirements of the construction site, the construction site map is divided into different areas, such as construction area, office area, storage area, etc. According to the regional division, a regional distribution map is generated to indicate the location and function of each area.

[0073] Step S2: Analyze the collected environmental parameters to identify factors that may affect the safety of the construction site, for example, high temperature may cause equipment to overheat, strong wind may cause structure collapse, etc.

[0074] According to the regional distribution map, conduct a safety assessment on each area to identify potential safety risks. The safety assessment should take into account multiple factors such as environmental factors, equipment status, and personnel activities.

[0075] By analyzing the identified safety risks, the types of safety accidents that may occur are listed, such as falls from heights, mechanical injuries, electrical fires, etc.

[0076] Propose corresponding preventive measures and emergency plans for the identified safety risks, such as strengthening safety training, regularly inspecting equipment, setting up warning signs, etc.

[0077] The above analysis results are summarized into an environmental safety report, including the environmental conditions of the construction site, potential risks, preventive measures, etc. The report records the safety status and recommended measures of each area in detail.

[0078] Step S3: Collect the geographical location information of the construction site through the Beidou positioning system, including latitude and longitude coordinates, altitude, etc. Collect the movement data of the equipment, such as speed, direction and status.

[0079] According to the regional distribution map, the prediction algorithm is used to predict the movement trajectory of the device to obtain the predicted movement path. The prediction algorithm can be implemented based on historical data and current status by using machine learning or mathematical models.

[0080] Step S4: predict the operation behavior of the device based on the motion data and the predicted movement path. The operation prediction includes the start, stop, turn and other actions of the device.

[0081] Based on the predicted operation behavior, the safety of equipment operation is evaluated to obtain operation safety data. Operation safety data includes the safe distance between equipment, potential collision risk, etc.

[0082] Step S5: Comprehensively evaluate the environmental safety report and the operational safety data to obtain comprehensive evaluation information. The comprehensive evaluation takes into account the mutual influence of environmental factors and equipment operating behaviors.

[0083] Generate corresponding safety recommendation information based on the comprehensive assessment information, including improvement measures, early warning prompts, etc.

[0084] Combine the comprehensive assessment information and safety recommendation information to generate a comprehensive construction site report, which includes information such as the safety status of the construction site, potential risks, and improvement measures.

[0085] The present invention provides a smart construction site safety monitoring method based on Beidou positioning. By dividing the geographical information of the construction site area into regions and conducting a comprehensive analysis in combination with environmental parameters, the safety status of the construction site can be more comprehensively evaluated, thereby improving the comprehensiveness and accuracy of safety monitoring. Trajectory prediction is performed through Beidou positioning data and motion data, and the movement path of the equipment can be predicted more accurately, thereby improving the accuracy and safety of construction site equipment management. By comprehensively evaluating environmental safety reports and operational safety data, targeted safety recommendation information can be generated, providing specific and feasible suggestions for construction site safety management, thereby improving the efficiency and effectiveness of safety management. By comprehensively analyzing the collected data, the value of the data can be fully utilized, the efficiency of data processing and analysis can be improved, and strong support can be provided for construction site safety management.

[0086] In one embodiment, geographic information and environmental parameters of the construction site area are collected, a construction site map is generated based on the geographic information, and the construction site map is divided into regions to obtain a regional distribution map, including:

[0087] Use drones equipped with high-resolution cameras and lidar to conduct a comprehensive aerial scan of the construction site area, and collect image data and point cloud data of the construction site during the drone flight.

[0088] The collected image data is processed, including image stitching, color correction, etc., and the terrain features and building outlines of the construction site are extracted through image processing technology.

[0089] The initial 3D map is generated based on the extracted terrain features and building outlines, and the point cloud data is fused and optimized with the 3D map to improve the accuracy and details of the map.

[0090] The generated construction site map is initially divided into regions according to the terrain features, including the construction site map being divided into regions according to factors such as terrain undulations and building distribution, to obtain the initial region division results.

[0091] Based on the initial regional division results, a preliminary regional distribution map is generated.

[0092] The preliminary regional distribution map is optimized and adjusted according to the preset construction plan, which includes factors such as project progress and resource allocation.

[0093] After optimization and adjustment, the final regional distribution map is generated, which clearly marks the functional division and boundaries of each area.

[0094] Through accurate maps and regional divisions, this embodiment can better plan construction routes and resource allocation, reduce unnecessary duplication of work and waste of materials, and thus improve overall construction efficiency. Clear site maps help identify potential safety hazards, such as unstable terrain, high-risk areas, etc., and help take preventive measures to ensure personnel safety. Providing detailed regional distribution maps can help project managers better track project progress and perform effective task allocation and time management. Accurate terrain features and building outline information can help avoid increased costs due to incorrect design or construction, and also help reduce maintenance costs.

[0095] In one embodiment, an environmental analysis is performed on the construction site area based on the regional distribution map and environmental parameters to obtain an environmental safety report, including:

[0096] The regional distribution map is gridded and divided into several grid cells to obtain a grid map. According to environmental parameters (such as temperature, humidity, wind speed, etc.), each grid cell in the grid map is assigned an environmental factor to obtain an environmental factor distribution map.

[0097] The construction site is divided into regions according to the distribution map of environmental factors to obtain environmental regions. The division of environmental regions is also based on the distribution characteristics of environmental factors and the requirements of construction planning.

[0098] A comprehensive assessment is conducted on the environmental area, and the environmental assessment results are obtained based on factors such as terrain characteristics and distribution of environmental factors.

[0099] According to the preset safety calculation rules and environmental assessment results, the environmental area is safety analyzed, the safety threshold of each environmental area is calculated, and the safety threshold of each environmental area is integrated to obtain a regional safety threshold table.

[0100] Obtain the corresponding historical environmental data based on the construction site area, conduct trend analysis on the historical environmental data, and obtain the environmental prediction value.

[0101] Compare and analyze the environmental prediction value with the regional safety threshold table to obtain potential risk warning information;

[0102] A comprehensive analysis is conducted on the environmental assessment results and potential risk warning information to obtain an environmental safety report, which includes the environmental assessment results, potential risk warning information and recommended measures.

[0103] This embodiment can quickly and accurately identify the characteristics and needs of different areas by gridding the construction site area and assigning environmental factors in combination with environmental parameters, thereby improving work efficiency. Through environmental area division and comprehensive evaluation, as well as the calculation of safety thresholds, the safety of each area can be effectively evaluated and potential safety hazards can be reduced. Using trend analysis of historical environmental data to predict possible risks in the future will help take measures in advance to avoid accidents. Rationally allocate resources based on environmental assessment results to ensure that key areas receive adequate attention and protection.

[0104] In one embodiment, Beidou positioning data and motion data of construction site equipment are obtained, and trajectory prediction is performed on the Beidou positioning data according to the regional distribution map to obtain the corresponding predicted movement path, including:

[0105] The multi-source positioning data of the construction site equipment is obtained through the Beidou positioning system, and the multi-source positioning data is split into types to obtain Beidou positioning data and motion data.

[0106] The Beidou positioning data is decomposed into time series to obtain the various components of the time series, such as trend, seasonality and random fluctuations. The various components of the time series are integrated to obtain the sequence decomposition result.

[0107] The motion rules of the sequence decomposition results are predicted based on the regional distribution map to obtain multiple initial prediction paths.

[0108] Roads are extracted from the regional distribution map to obtain the corresponding regional road data. Based on the regional road data, probability calculations are performed on multiple initial predicted paths to determine the path that the device is most likely to follow and obtain the mobile predicted path.

[0109] The probability calculation of the mobile prediction path adopts the following formula:

[0110] P(pi)=α*Σ(wj*fj(pi, rd))+(1-α)*g(pi, hd);

[0111] Among them, P(pi): probability of the i-th initial predicted path; α: balance factor, 0≤α≤1; w_j: weight of the j-th feature; fj: j-th feature function, used to evaluate the matching degree between the path and road data; pi: i-th initial predicted path; rd: regional road data; g: historical data matching function; hd: historical trajectory data.

[0112] This embodiment can more accurately separate Beidou positioning data and motion data and improve the accuracy of data processing by performing type splitting processing on multi-source positioning data. By using time series decomposition technology, the movement law of the equipment can be analyzed more accurately and the accuracy of trajectory prediction can be improved. The multiple initial predicted paths obtained by predicting the motion rules can provide more possibilities for the safety monitoring of construction site equipment and help to discover potential safety risks in advance. Using regional road data for probability calculation can more accurately predict the movement path of the equipment and help to take effective safety measures. Accurate prediction of the mobile prediction path helps to optimize the allocation of construction site resources, such as rationally planning the driving route of the equipment, reducing conflicts between equipment, and improving construction efficiency.

[0113] In one embodiment, operation prediction of construction site equipment is performed based on motion data and predicted movement paths to obtain operation safety data, including:

[0114] The motion state of the construction site equipment is analyzed based on the motion data to obtain the equipment motion characteristic parameters, which include speed, acceleration and direction.

[0115] The correlation analysis is performed on the device motion characteristic parameters and the mobile prediction path to obtain the device motion trend information of the device under different paths. The motion trend information includes the device's motion direction and speed change trend.

[0116] According to the equipment movement trend information, the operation behavior of the construction site equipment is simulated through a preset simulation algorithm to obtain equipment operation simulation data. The simulation data includes the possible operation behavior and operation sequence of the equipment.

[0117] A safety risk assessment is performed on the equipment operation simulation data to obtain an equipment operation risk index, which includes collision risk and operation error risk.

[0118] The equipment operation simulation data is analyzed according to the preset operation safety rules to obtain the equipment operation safety status. The operation safety status includes the probability of the equipment being in a safe state and the probability of an unsafe state.

[0119] Integrate the equipment operation risk index and equipment operation safety status to obtain operation safety data;

[0120] Among them, the calculation formula of equipment operation risk index includes:

[0121] R = a*(1-e ∧ (-βD))*(1-e ∧ (-γV))*(1+δ*T);

[0122] R: equipment operation risk index, D: distance between the equipment and the nearest obstacle, V: current speed of the equipment, T: continuous operation time of the equipment, α, β, γ and δ: weight coefficients, e: Euler number.

[0123] This embodiment analyzes the motion state of the equipment in detail to more accurately grasp the motion characteristics of the equipment, thereby improving the accuracy of the operation behavior simulation. Through correlation analysis, the movement trend of the equipment can be predicted more accurately to improve the credibility of the simulation. By conducting a safety risk assessment on the equipment operation simulation data, potential safety hazards can be discovered in advance, and preventive measures can be taken to reduce the possibility of accidents. Through the equipment operation safety status assessment, the safety status of the equipment can be monitored in real time to ensure that the equipment operates in a safe state. By simulating the equipment operation behavior, the use of the equipment can be planned more reasonably, the scheduling of the equipment can be optimized, and the efficiency of resource utilization can be improved. By evaluating the operational risks of the equipment, human resources can be allocated more effectively to ensure that key areas receive sufficient attention.

[0124] In one embodiment, the environmental safety report and the operational safety data are comprehensively evaluated to obtain comprehensive evaluation information, and corresponding safety recommendation information is generated based on the comprehensive evaluation information. The comprehensive evaluation information and the safety recommendation information are combined to obtain a comprehensive construction site report, including:

[0125] Conduct a multi-dimensional comprehensive analysis of environmental safety reports and operational safety data. The multi-dimensional comprehensive analysis includes combining environmental factors, equipment operating behaviors, risk assessment and other factors to obtain a safety assessment index.

[0126] The regional distribution map is divided into safety level areas according to the safety assessment index, and the construction site is divided into different safety level areas to obtain a safety level distribution map.

[0127] Based on the security level distribution map, risk factors are identified for each security level area to obtain a list of risk factors for each area.

[0128] The safety level distribution map and the risk factor list are processed comprehensively to obtain comprehensive assessment information, which includes the safety level of each area, major risk factors, etc.

[0129] The risk factor list is matched with measures according to the preset safety measures database to obtain corresponding safety operation information.

[0130] The safety operation information is optimized based on the comprehensive assessment information, and the corresponding safety recommendation information is obtained by combining the safety level and risk factors of each area.

[0131] The comprehensive assessment information and safety recommendation information are integrated to compile a comprehensive construction site report, which includes the safety level of each area, major risk factors, recommended safety measures, etc.

[0132] This embodiment can more comprehensively understand the safety status of the construction site and promptly identify potential safety hazards by conducting a comprehensive assessment of environmental safety reports and operational safety data. The division of safety level areas helps to identify high-risk areas and take targeted safety measures. The safety level distribution map can be used to more reasonably allocate safety resources to ensure that key areas receive adequate attention and protection. The risk factor list helps to concentrate resources to solve major problems and improve resource allocation efficiency. The safety recommendation information generated based on the comprehensive assessment information provides management with specific safety improvement measures to improve prevention capabilities. Taking measures against risk factors can effectively reduce the possibility of accidents.

[0133] Reference Figure 2 As shown, the present invention also provides a smart construction site safety monitoring system based on Beidou positioning, which is applied to any of the above-mentioned smart construction site safety monitoring methods based on Beidou positioning, including:

[0134] The acquisition module is used to collect geographic information and environmental parameters of the construction site area, generate a construction site map based on the geographic information, divide the construction site map into regions, and obtain a regional distribution map;

[0135] Analysis module: The analysis module is used to conduct environmental analysis on the construction site area based on the regional distribution map and environmental parameters to obtain an environmental safety report;

[0136] The association module is used to obtain Beidou positioning data and motion data of construction site equipment, predict the trajectory of Beidou positioning data according to the regional distribution map, and obtain the corresponding movement prediction path;

[0137] A processing module, the processing module is used to predict the operation of the construction site equipment based on the motion data and the predicted movement path to obtain operation safety data;

[0138] The control module is used to conduct a comprehensive assessment of the environmental safety report and the operational safety data to obtain comprehensive assessment information, and to generate corresponding safety recommendation information based on the comprehensive assessment information, and to combine the comprehensive assessment information and the safety recommendation information to obtain a comprehensive construction site report.

[0139] The present invention provides a smart construction site safety monitoring system based on Beidou positioning. By dividing the geographical information of the construction site area into regions and conducting a comprehensive analysis in combination with environmental parameters, the safety status of the construction site can be more comprehensively evaluated, thereby improving the comprehensiveness and accuracy of safety monitoring. Trajectory prediction is performed through Beidou positioning data and motion data, and the movement path of the equipment can be predicted more accurately, thereby improving the accuracy and safety of construction site equipment management. By comprehensively evaluating environmental safety reports and operational safety data, targeted safety recommendation information can be generated, providing specific and feasible suggestions for construction site safety management, thereby improving the efficiency and effectiveness of safety management. By comprehensively analyzing the collected data, the value of the data can be fully utilized, the efficiency of data processing and analysis can be improved, and strong support can be provided for construction site safety management.

[0140] The present invention also provides a storage medium storing computer instructions, wherein the computer instructions are used to enable a computer to execute any of the above methods.

[0141] It should be noted that technicians in the relevant technical field can clearly understand that for the convenience and conciseness of description, the specific working process of the system and each module described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0142] 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 smart construction site safety monitoring method based on Beidou positioning, characterized in that: include: Collecting geographic information and environmental parameters of the construction site area, generating a construction site map based on the geographic information, dividing the construction site map into regions, and obtaining a regional distribution map; Conducting environmental analysis on the construction site area according to the regional distribution map and the environmental parameters to obtain an environmental safety report; Obtain Beidou positioning data and motion data of construction site equipment, perform trajectory prediction on the Beidou positioning data according to the regional distribution map, and obtain a corresponding predicted movement path; Performing operation prediction on the construction site equipment according to the motion data and the predicted movement path to obtain operation safety data; Comprehensively evaluate the environmental safety report and the operational safety data to obtain comprehensive evaluation information, generate corresponding safety recommendation information based on the comprehensive evaluation information, and combine the comprehensive evaluation information and the safety recommendation information to obtain a comprehensive construction site report.

2. The smart construction site safety monitoring method based on Beidou positioning according to claim 1 is characterized in that: The collecting of geographic information and environmental parameters of the construction site area, generating a construction site map according to the geographic information, and dividing the construction site map into regions to obtain a regional distribution map includes: Perform aerial scanning of the construction site area by using a drone to obtain corresponding image data and point cloud data; Performing image processing on the image data, and extracting the terrain features and building outlines of the construction site area, generating an initial three-dimensional map based on the terrain features and building outlines, and fusing and optimizing the point cloud data with the three-dimensional construction site model to generate the construction site map; Performing initial regional division on the construction site map according to terrain features to obtain a preliminary regional distribution map; The preliminary regional distribution map is optimized and adjusted according to the preset construction plan to obtain the regional distribution map.

3. The smart construction site safety monitoring method based on Beidou positioning according to claim 1 is characterized in that: The environmental analysis of the construction site area is performed based on the regional distribution map and the environmental parameters to obtain an environmental safety report, including: Gridding the regional distribution map to obtain a grid map, assigning an environmental factor to each grid cell in the grid map according to the environmental parameter to obtain an environmental factor distribution map; Divide the construction site area into regions according to the environmental factor distribution map to obtain environmental regions; Conduct a comprehensive assessment of the environmental area and obtain environmental assessment results; Conduct safety analysis on the environmental area based on the preset safety calculation rules and environmental assessment results to obtain a regional safety threshold table; Acquire corresponding historical environmental data according to the construction site area, perform trend analysis on the historical environmental data, and obtain environmental prediction values; Compare and analyze the environmental prediction value with the regional safety threshold table to obtain potential risk warning information; Comprehensively analyze the environmental assessment results and potential risk warning information to obtain an environmental safety report.

4. The smart construction site safety monitoring method based on Beidou positioning according to claim 1 is characterized in that: The obtaining of Beidou positioning data and motion data of the construction site equipment, and performing trajectory prediction on the Beidou positioning data according to the regional distribution map to obtain a corresponding predicted movement path, includes: Acquire multi-source positioning data of the construction site equipment, perform type separation processing on the multi-source positioning data, and obtain the Beidou positioning data and the motion data; Performing time series decomposition on the Beidou positioning data to obtain a sequence decomposition result; Based on the regional distribution map, motion rule prediction is performed on the sequence decomposition result to obtain multiple initial prediction paths; Extracting roads from the regional distribution map to obtain corresponding regional road data, and performing probability calculation on a plurality of initial predicted paths based on the regional road data to obtain the moving predicted path; The probability calculation of the mobile prediction path adopts the following formula: P(pi)=α*Σ(wj*fj(pi, rd))+(1-α)*g(pi, hd); Among them, P(pi): probability of the i-th initial predicted path; α: balance factor, 0≤α≤1; w_j: weight of the j-th feature; fj: j-th feature function, used to evaluate the matching degree between the path and road data; pi: i-th initial predicted path; rd: regional road data; g: historical data matching function; hd: historical trajectory data.

5. The smart construction site safety monitoring method based on Beidou positioning according to claim 1 is characterized in that: The step of performing operation prediction on the construction site equipment according to the motion data and the predicted movement path to obtain operation safety data includes: Analyze the motion state of the construction site equipment according to the motion data to obtain equipment motion characteristic parameters; Performing correlation analysis on the device motion characteristic parameters and the predicted movement path to obtain device motion trend information; Simulating the operation behavior of the construction site equipment according to the equipment movement trend information to obtain equipment operation simulation data; Conduct safety risk assessment on equipment operation simulation data to obtain equipment operation risk index; According to the preset operation safety rules, the equipment operation simulation data is processed to obtain the equipment operation safety status; Integrate the equipment operation risk index and the equipment operation safety status to obtain the operation safety data; Among them, the calculation formula of equipment operation risk index includes: R=a*(1-e ∧ (-βD)*(1-e ∧ (-γV)*(1+δ*T); R: equipment operation risk index, D: distance between the equipment and the nearest obstacle, V: current speed of the equipment, T: continuous operation time of the equipment, α, β, γ and δ: weight coefficients, e: Euler number.

6. The smart construction site safety monitoring method based on Beidou positioning according to claim 1 is characterized in that: The comprehensive evaluation of the environmental safety report and the operational safety data is performed to obtain comprehensive evaluation information, and corresponding safety recommendation information is generated based on the comprehensive evaluation information, and the comprehensive evaluation information and the safety recommendation information are combined to obtain a comprehensive construction site report, including: Conduct a multi-dimensional comprehensive analysis of the environmental safety report and the operational safety data to obtain a safety assessment index; Dividing the regional distribution map into security level regions according to the security assessment index to obtain a security level distribution map; Based on the security level distribution map, risk factors are identified for each security level area to obtain a risk factor list; Comprehensively processing the safety level distribution map and the risk factor list to obtain the comprehensive assessment information; Match the risk factor list with measures according to the preset safety measures database to obtain the corresponding safety operation information; Optimizing the safety operation information according to the comprehensive evaluation information to obtain the corresponding safety recommendation information; The comprehensive assessment information and the safety recommendation information are integrated to obtain the comprehensive construction site report.

7. A smart construction site safety monitoring system based on Beidou positioning, characterized in that: The smart construction site safety monitoring method based on Beidou positioning applied to any one of claims 1 to 6 above comprises: A collection module, the collection module is used to collect geographic information and environmental parameters of the construction site area, generate a construction site map based on the geographic information, divide the construction site map into regions, and obtain a regional distribution map; An analysis module, the analysis module is used to perform environmental analysis on the construction site area according to the regional distribution map and the environmental parameters to obtain an environmental safety report; An association module, the association module is used to obtain Beidou positioning data and motion data of construction site equipment, perform trajectory prediction on the Beidou positioning data according to the regional distribution map, and obtain a corresponding predicted movement path; A processing module, the processing module is used to predict the operation of the construction site equipment according to the motion data and the predicted movement path to obtain operation safety data; A control module, wherein the control module is used to comprehensively evaluate the environmental safety report and the operational safety data to obtain comprehensive evaluation information, and to generate corresponding safety recommendation information based on the comprehensive evaluation information, and to combine the comprehensive evaluation information and the safety recommendation information to obtain a comprehensive construction site report.

8. A storage medium, characterized in that: Computer instructions are stored, and the computer instructions are used to make a computer execute the method according to any one of claims 1 to 6.

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