Construction site on-site safety inspection system and method based on big data

Abstract

The invention relates to the technical field of on-site safety management, and discloses a construction site on-site safety inspection system and method based on big data, and the system comprises a construction area construction information collection module, a construction area construction information evaluation module, and a construction area construction danger feedback module. Construction danger type intelligent analysis is carried out by storing different types of construction site danger image parameters based on big data in combination with an intelligent recognition algorithm and real-time inspection position image parameters of a current construction area, and accurate monitoring of the construction danger type of the on-site inspection position of the whole construction site is achieved. Construction site safety inspection area space position coordinate parameters are autonomously set, and coordinate data matching is carried out on the construction site safety inspection area space position coordinate parameters and current construction area real-time inspection position image parameters in combination with an intelligent search algorithm, so that a construction site safety inspection area where current construction dangers are located is accurately identified; partitioned, efficient and accurate positioning of the construction danger occurrence site of the construction site is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of on-site safety management, and in particular to a construction site safety inspection system and method based on big data. Background Art

[0002] The construction site refers to the construction activities such as house construction, civil engineering, equipment installation, pipeline laying, etc. for industrial and civil projects, the construction sites occupied with approval, and the places where people conduct safe production, civilized work, and construction, including all areas on land, sea, and air where construction work can be carried out. The project manager is fully responsible for the on-site management of the construction process. According to the scale of the project, the technical complexity and the specific conditions of the construction site, the construction site management responsibilities should be established and implemented. The construction site involves equipment, materials, personnel and buildings, so it is easy to have safety problems on the construction site. Therefore, how to establish a safe, intelligent and efficient construction site safety inspection system has become a very important topic. The existing construction sites use manual safety inspections, fixed camera inspections and drone point-to-point dynamic inspections. The scope of safety inspections on the construction site is limited and the efficiency is not high. At the same time, safety problems cannot be fed back to the construction inspection personnel in a timely and efficient manner, which increases the safety risks of the construction site.

[0003] The Chinese invention patent with the announcement number CN116503227B discloses a construction safety supervision management system and method based on the Internet of Things. The method controls the movement of a first robot to obtain the personnel distribution information of the first area and the personnel passing information of the passage area. According to the personnel distribution information and the personnel passing information, the gap area in the target area is located, and the positioning information of the gap area is generated. Through the functional control of the movement and inspection identification of the robot, it can form a good supplement to the manual inspection of the supervisor, and realize the supervision of the construction safety of the gap area in the parallel construction area. However, the above technical scheme cannot perform safety inspections on the construction site based on the robot and cannot realize real-time and comprehensive safety monitoring of the entire construction area. Summary of the invention

[0004] 1. Technical issues to be resolved In order to solve the problem that the existing manual safety inspections, fixed camera inspections and drone point-to-point dynamic inspections used at construction sites are limited in scope and inefficient, and that safety issues found cannot be promptly and efficiently fed back to construction inspection personnel, increasing the problem of construction safety risks at construction sites, the above-mentioned purposes are achieved by accurately collecting real-time status image parameters of the construction area and current construction plan date parameters, scientifically identifying the current construction plan workload, accurately searching for the number of real-time status image segmentations of the construction area, independently establishing real-time inspection position status images of the construction area, intelligently analyzing the dangerous types of real-time inspection positions in the construction area, accurately identifying the safety inspection areas where dangerous positions are located, efficiently searching for construction inspection personnel information and promptly feeding back dangerous information in the construction area.

[0005] (II) Technical solution The present invention is implemented by the following technical scheme: a construction site safety inspection method based on big data, the method comprising the following steps: S1, collect real-time status image data of the construction area and current construction plan date data; S2, analyzing and processing the construction plan workload of the current date based on the current construction plan date data and the construction plan workload data of different dates, generating the current construction plan date workload data and performing data processing to construct the real-time state image segmentation quantity of the current construction area; S3, performing construction area real-time state image segmentation and spatial position positioning data processing according to the construction area real-time state image data and the current construction area real-time state image segmentation number, to generate current construction area real-time inspection position image data; S4, based on the real-time inspection position image data of the current construction area and the dangerous image data of different types of construction sites, the construction danger analysis processing of the inspection position of the construction area is performed to generate the danger analysis data of the real-time inspection position of the current construction area, and when there is no danger, the construction danger analysis operation of the next real-time inspection position of the current construction area is continued to be performed until the end; S5. When there is a danger, the construction site safety inspection area where the current construction danger is located is identified based on the real-time inspection position image data of the current construction area and the spatial position coordinate data of the construction site safety inspection area, and the identification data of the construction site safety inspection area of ​​the current construction danger is generated; S6, searching and processing the contact information of the inspection personnel in the construction site safety inspection area where the current construction danger is located according to the identification data of the current construction danger construction site safety inspection area and the contact data of the inspection personnel in the construction site safety inspection area, and generating the contact data of the inspection personnel in the construction site safety inspection area where the current construction danger is located; S7. Construct the construction inspection hazard result data of the current construction area and push it to the inspection personnel. When the operation of pushing the construction inspection hazard result data of the current construction area to the inspection personnel is completed, continue to execute the construction hazard analysis operation of the next real-time inspection location of the current construction area until it is completed.

[0006] Preferably, the operation steps of collecting the real-time status image data of the construction area and the current construction plan date data are as follows: S11. Use the drone equipped with a cloud camera to capture the real-time status image of the entire construction site and generate real-time status image data of the construction area ; The timing module collects the current construction time at the construction site and generates the current construction plan date data , the current construction plan date data consists of year, month and day.

[0007] Preferably, the steps of analyzing and processing the construction plan workload of the current date based on the current construction plan date data and the construction plan workload data of different dates, generating the current construction plan date workload data and performing data processing to construct the number of image segmentations of the current construction area real-time status are as follows: S21. Establish a data set of construction workload on different dates , ;in Indicates Construction workload data for different dates, Indicates the maximum value of the number of construction plan workload data on different dates, wherein the construction plan workload data on different dates indicates the percentage of the construction volume of the construction project on different construction plan dates to the construction volume of the entire construction project; S22, using an iterative deepening search algorithm to search the current construction plan date data The data set of construction workload plan for different dates Construction workload data for different dates as described in Compare the construction plan date values ​​and search for the current construction plan date data The corresponding construction plan workload data for different dates And generate the workload data of the current construction plan date through data identification ,in The unit of is piece; S23, the workload data of the current construction plan date The corresponding percentage numbers are processed for data identification to construct the number of real-time status image segmentations of the current construction area. The number of segmentation of the current real-time state image of the construction area represents the number of segmentation of the real-time state image data of the construction area collected. The number of image segmentations performed; the number of real-time state image segmentations of the construction area is positively correlated with the workload of the current construction plan date, because the greater the workload of the current construction plan date, the denser the equipment, materials, and personnel on the construction site, and the more careful the safety inspection work on the construction site needs to be, so the real-time state image data of the construction area is The larger the number of image segmentations performed.

[0008] Preferably, the operation steps of performing construction area real-time state image segmentation and spatial position positioning data processing according to the construction area real-time state image data and the current construction area real-time state image segmentation number to generate the current construction area real-time inspection position image data are as follows: S31, based on the workload data of the current construction plan date Real-time status image data of the construction area Perform image grid segmentation processing, and obtain the spatial position coordinates of the construction site corresponding to the center of the real-time grid segmentation image of the construction area, and combine the data with the real-time grid segmentation image of the construction area to generate the real-time inspection position image data set of the current construction area , ;in Indicates Real-time inspection location image data of the current construction area, It represents the maximum value of the number of real-time inspection positions in the current construction area. The image data of the real-time inspection positions in the current construction area includes the spatial coordinate data and image data of the real-time inspection positions in the current construction area; the spatial coordinate data includes longitude, latitude and altitude.

[0009] Preferably, the construction hazard analysis processing of the inspection position of the construction area is performed based on the real-time inspection position image data of the current construction area and the dangerous image data of different types of construction sites, and the danger analysis data of the real-time inspection position of the current construction area is generated. When there is no danger, the danger analysis operation of the next real-time inspection position of the current construction area is continued until the end. The operation steps are as follows: S41. Establish a data set of dangerous images of different types of construction sites , ;in Indicates Different types of construction site hazard image data corresponding to different types of construction site hazard types, Indicates the maximum number of hazard types at the construction site; the hazard types at the construction site include construction operation hazard, scaffolding hazard, electrical hazard, mechanical operation hazard, chemical exposure hazard, construction material hazard, transportation safety hazard, and environmental factor hazard; S42: Collect the real-time inspection position image data of the current construction area Real-time inspection position image data of the current construction area described in The real-time inspection position number of the current construction area is sorted and the dangerous image data set of different types of construction sites is Different types of construction site hazard image data described in Perform image feature matching to search for the real-time inspection location image data of the current construction area Corresponding to the different types of dangerous image data of construction sites And generate real-time inspection location hazard analysis data for the current construction area , execute and generate the real-time inspection location hazard analysis data of the current construction area The steps are as follows: S421, initialization, update the maximum number of iterations T and update the location of the construction danger search pelican population. The formula for updating the location of the construction danger search pelican population is as follows: ,in Indicates Construction hazard search pelican individuals in the The position of the dimension, i.e. Construction hazard search pelican individuals in dimension A collection of dangerous images of different types of construction sites The position in the search space, Indicates the position adjustment of the random integer, rand indicates a random number in the range [0,1], and Indicated in The upper and lower boundaries of the problem are solved in the dimension A collection of dangerous images of different types of construction sites Real-time inspection position image data of the current construction area in the search space Different types of dangerous image data of construction sites for image feature matching The number of upper and lower boundaries; S422, exploration phase, construction hazard search pelican determines the location of prey, that is, a collection of dangerous image data at different types of construction sites Search the search space for real-time inspection location image data of the current construction area Different types of dangerous image data of construction sites for image feature matching Then the construction hazard search pelican individual to the existence of different types of construction site hazard image data The algorithm can be used to analyze the regional movement of construction site danger images and model the pelican’s approach strategy for prey. The search space is scanned, and the target prey is different types of dangerous image data of construction sites Dangerous image data collection of different types of construction sites The search space is randomly generated, that is, the formula for approaching the prey strategy is as follows: ,in Indicates the exploration phase after the update Construction hazard search pelican individuals in the The position of the dimension, that is, the position of the first dimension after the exploration phase update Construction hazard search pelican individuals in dimension A collection of dangerous images of different types of construction sites Search the search space to find the real-time inspection position image data of the current construction area Different types of dangerous image data of construction sites for image feature matching location, For prey in The location of the dimension, that is, the real-time inspection location image data of the current construction area Different types of dangerous image data of construction sites for image feature matching The prey is in dimension A collection of dangerous images of different types of construction sites The position in the search space, is the objective function value of the prey, For the The objective function value of the construction hazard search pelican individual; S423, Development stage, Construction Hazard Search Pelican collects dangerous image data of different types of construction sites All different types of construction site hazard image data in the search space Conduct target prey hunting search, that is, a collection of dangerous image data at different types of construction sites Search the search space for real-time inspection location image data of the current construction area Different types of dangerous image data of construction sites for image feature matching , this behavior process of the construction danger search pelican is modeled. The algorithm checks the position near the construction danger search pelican position so that the algorithm converges to a better position. The calculation formula of the construction danger search pelican in hunting behavior is as follows: ,in Indicates the development phase after the update Construction Hazard Search Pelicans in The position of the dimension, that is, the first Construction Hazard Search Pelican at Dimension A collection of dangerous images of different types of construction sites Search the search space to find the real-time inspection position image data of the current construction area Different types of dangerous image data of construction sites for image feature matching location, is a random integer of 0 or 2; t is the current iteration number; T is the maximum iteration number; S424: When the algorithm meets the maximum number of iterations, output the real-time inspection position image data of the current construction area Different types of dangerous image data of construction sites for image feature matching ; S425: Based on the real-time inspection position image data of the current construction area in step S424 Dangerous image data of different types of construction sites Perform image feature matching to generate real-time inspection location hazard analysis data for the current construction area ; when and If the image feature matching is successful, it means that there is a construction hazard at the real-time inspection location of the current construction area; then the hazard analysis data of the real-time inspection location of the current construction area is output. If there is a construction hazard, the type of hazard at the construction site will be output simultaneously; when and If the image feature matching fails, it means that there is no construction hazard at the current real-time inspection location of the construction area; then the hazard analysis data of the current real-time inspection location of the construction area is output. To ensure that there is no construction hazard, continue to perform the construction hazard analysis work at the next real-time inspection location of the current construction area until completion.

[0010] Preferably, when there is a danger, the construction site safety inspection area where the current construction danger is located is identified based on the real-time inspection position image data of the current construction area and the spatial position coordinate data of the construction site safety inspection area, and the operation steps of generating the identification data of the current construction danger construction site safety inspection area are as follows: S51. Establishing the spatial position coordinate data set matrix of the construction site safety inspection area , ;in Indicates The spatial location coordinate data set of the construction site safety inspection area corresponding to the construction site safety inspection area, Indicates the maximum number of construction site safety inspection areas, the construction site safety inspection area spatial position coordinate data set represents a set of construction site safety inspection area spatial position coordinate data of different construction site safety inspection areas divided at the construction site, the construction site safety inspection area spatial position coordinate data includes the longitude, latitude and altitude of a specific spatial position within the construction site safety inspection area; S52, when the unified cost search algorithm is used to search the real-time inspection position image data of the current construction area The spatial coordinate data of the real-time inspection position of the current construction area and the spatial position coordinate data set matrix of the safety inspection area of ​​the construction site A collection of spatial coordinate data of the safety inspection area of ​​the construction site The internal spatial position coordinate data of the construction site safety inspection area is matched with the coordinate value character to search for the real-time inspection position image data of the current construction area. The corresponding construction site safety inspection area is identified by data and generates the current construction danger construction site safety inspection area identification data .

[0011] Preferably, according to the current construction danger construction site safety inspection area identification data and the construction site safety inspection area inspection personnel contact data, the inspection personnel contact information search and processing of the construction site safety inspection area where the current construction danger is located is performed, and the operation steps of generating the current construction danger construction site safety inspection area inspection personnel contact data are as follows: S61. Establish a contact data set of inspection personnel in the construction site safety inspection area ,in Indicates The contact data of the inspection personnel in the construction site safety inspection area corresponding to each construction site safety inspection area, wherein the contact data of the inspection personnel in the construction site safety inspection area represents the contact data of the inspection personnel responsible for the safety inspection site management of the different construction site safety inspection areas divided at the construction site, and the contact data of the inspection personnel in the construction site safety inspection area includes any one of WeChat, QQ, and telephone; S62, using an iterative deepening search algorithm to identify the current dangerous construction site safety inspection area data According to the construction site safety inspection area number, contact the inspection personnel of the construction site safety inspection area. Contact data of the inspectors in the construction site safety inspection area as described in Perform character matching to search for the current construction site safety inspection area identification data of the dangerous construction site Corresponding contact data of the inspection personnel in the construction site safety inspection area And identify and generate the contact data of the inspection personnel in the safety inspection area of ​​the current construction site .

[0012] Preferably, the construction of the current construction area construction inspection hazard result data and pushing it to the inspection personnel, when the current construction area construction inspection hazard result data is pushed to the inspection personnel, the operation steps of continuing to perform the construction hazard analysis operation of the next current construction area real-time inspection position until the end are as follows: S71: Real-time inspection position image data of the current construction area , the real-time inspection location hazard analysis data of the current construction area After data combination, it is constructed into the construction inspection hazard result data of the current construction area ; S72: The current construction area construction inspection hazard result data Contact data of inspectors in construction site safety inspection areas according to the current construction hazards Push to the inspection personnel of the safety inspection area of ​​the construction site where the current construction hazard is located; when the construction inspection hazard result data of the current construction area When the inspection work is not completed, the inspection personnel continue to execute the operation instructions; when the current construction area construction inspection hazard result data When the task is completed and pushed to the inspection personnel, the construction hazard analysis task of the next real-time inspection location in the current construction area will be continued until it is completed.

[0013] A construction site safety inspection system based on big data, used to implement the construction site safety inspection method based on big data, the system includes a construction area construction information collection module, a construction area construction information evaluation module, and a construction area construction hazard feedback module; The construction area construction information acquisition module includes a construction area real-time status image acquisition unit, a current construction plan date acquisition unit, a different date construction plan workload storage unit, a current construction plan workload search unit, a current construction area real-time status image segmentation parameter generation unit, and a current construction area real-time inspection position image generation unit; The real-time state image acquisition unit of the construction area acquires the real-time state image data of the construction area through the cloud lens carried by the drone; the current construction plan date acquisition unit acquires the current construction plan date data through the timing module; the different date construction plan workload storage unit is used for the different date construction plan workload data based on the big data storage; the current construction plan workload search unit performs the construction plan workload analysis and processing on the current date according to the current construction plan date data and the construction plan workload data on different dates, and generates the current construction plan date workload data; the current construction area real-time state image segmentation parameter generation unit performs data processing on the current construction plan date workload data to construct the number of real-time state image segmentations of the current construction area; the current construction area real-time inspection position image generation unit performs construction area real-time state image segmentation and spatial position positioning data processing according to the construction area real-time state image data and the current construction area real-time state image segmentation number, and generates the current construction area real-time inspection position image data; The construction area construction information assessment module includes a storage unit for different types of construction site danger images, a current construction area real-time inspection location danger type analysis unit, a construction site safety inspection area location storage unit, a current construction danger construction site safety inspection area identification unit, a construction site safety inspection area inspection personnel information storage unit, and a current construction danger construction site safety inspection area inspection personnel information search unit; The different types of construction site danger image storage unit is used to store different types of construction site danger image data based on big data; the current construction area real-time inspection position danger type analysis unit performs construction area inspection position construction danger analysis processing based on the current construction area real-time inspection position image data and different types of construction site danger image data to generate the current construction area real-time inspection position danger analysis data; the construction site safety inspection area position storage unit is used to store the construction site safety inspection area spatial position coordinate data based on big data; the current construction danger construction site safety inspection area identification unit performs construction danger analysis processing based on the current construction area real-time inspection position image data and the construction site safety inspection area The domain spatial position coordinate data is used to identify the construction site safety inspection area where the current construction hazard is located, and generate identification data of the construction site safety inspection area with the current construction hazard; the construction site safety inspection area inspection personnel information storage unit is used to store the contact data of the inspection personnel in the construction site safety inspection area based on big data; the current construction site safety inspection area inspection personnel information search unit performs inspection personnel contact information search for the construction site safety inspection area where the current construction hazard is located according to the current construction hazard construction site safety inspection area identification data and the construction site safety inspection area inspection personnel contact data, and generates the current construction hazard construction site safety inspection area inspection personnel contact data; The construction area construction hazard feedback module includes a construction area construction hazard information generation unit and a construction area construction hazard push unit; The construction area construction hazard information generating unit constructs the current construction area construction inspection hazard result data; the construction area construction hazard pushing unit pushes the current construction area construction inspection hazard result data to the inspection personnel based on the current construction hazard construction site safety inspection area inspection personnel contact data.

[0014] (III) Beneficial effects The present invention provides a construction site safety inspection system and method based on big data, which has the following beneficial effects: 1. By using drones equipped with cloud cameras and timing modules, the real-time status images of the entire construction site and the dynamic and accurate collection of the current construction plan date are realized; based on the preset construction plan workload parameters of different dates and the current construction plan date parameters of big data, date digital analysis and processing are performed to scientifically analyze the current construction plan date workload and accurately establish the current construction area real-time status image segmentation quantity parameters in conjunction with numerical analysis, so as to achieve scientific adjustment of the construction area real-time status image segmentation quantity; the real-time status image segmentation and spatial position positioning data of the construction area are processed, and the real-time inspection position image parameters of the current construction area are established efficiently and accurately, so as to realize the standardized construction of the real-time status images of the inspection positions and inspection positions in the entire construction site, thereby improving the efficiency of collecting safety inspection information at the construction site.

[0015] 2. Through the storage of different types of construction site hazard image parameters based on big data combined with intelligent recognition algorithms and real-time inspection position image parameters of the current construction area, intelligent analysis of construction hazard types is carried out to achieve accurate monitoring of construction hazard types at the inspection position of the entire construction site; independently establish the spatial position coordinate parameters of the construction site safety inspection area combined with the intelligent search algorithm and the real-time inspection position image parameters of the current construction area to match the coordinate data, accurately identify the construction site safety inspection area where the current construction hazard is located, and achieve efficient and accurate positioning of the construction site where the construction hazard occurs; scientifically preset the contact parameters of the inspection personnel in the construction site safety inspection area combined with the intelligent search algorithm and the current construction hazard construction site safety inspection area identification parameters to search for the inspection personnel contact information, accurately search for the inspection personnel contact information at the construction site where the construction hazard occurs, and achieve accurate retrieval of the information of the construction site safety inspection management personnel.

[0016] 3. Based on the real-time inspection position image parameters of the current construction area and the real-time inspection position hazard analysis parameters of the current construction area, the construction inspection hazard result parameters of the current construction area are scientifically constructed to achieve efficient and accurate collection of construction hazard information on the construction site; the construction inspection hazard result parameters of the current construction area are promptly and accurately fed back to the inspection personnel based on the contact information of the inspection personnel in the current construction hazard construction site safety inspection area, so as to achieve efficient feedback processing of construction hazard information on the construction site and improve the efficiency and applicability of on-site safety inspections at the construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of a module of a construction site safety inspection system based on big data provided by the present invention; Figure 2 A flowchart of a construction site safety inspection method based on big data provided by the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] The embodiments of the construction site safety inspection system and method based on big data are as follows: Embodiment 1: See also Figure 1 - Figure 2 A construction site safety inspection method based on big data, the method comprises the following steps: S1, collect real-time status image data of the construction area and current construction plan date data; S2, analyzing and processing the construction plan workload of the current date based on the current construction plan date data and the construction plan workload data of different dates, generating the current construction plan date workload data and performing data processing to construct the real-time state image segmentation quantity of the current construction area; S3, performing construction area real-time state image segmentation and spatial position positioning data processing according to the construction area real-time state image data and the current construction area real-time state image segmentation number, and generating the current construction area real-time inspection position image data; S4, based on the real-time inspection position image data of the current construction area and the dangerous image data of different types of construction sites, the construction danger analysis processing of the inspection position of the construction area is performed to generate the danger analysis data of the real-time inspection position of the current construction area. When there is no danger, the construction danger analysis operation of the next real-time inspection position of the current construction area is continued until it is completed; S5. When there is a danger, the construction site safety inspection area where the current construction danger is located is identified based on the real-time inspection position image data of the current construction area and the spatial position coordinate data of the construction site safety inspection area, and the identification data of the current construction danger construction site safety inspection area is generated; S6. Search and process the contact information of the inspection personnel in the construction site safety inspection area where the current construction hazard is located based on the identification data of the construction site safety inspection area of ​​the current construction hazard and the contact data of the inspection personnel in the construction site safety inspection area, and generate the contact data of the inspection personnel in the construction site safety inspection area of ​​the current construction hazard; S7. Construct the construction inspection hazard result data of the current construction area and push it to the inspection personnel. When the construction inspection hazard result data of the current construction area is pushed to the inspection personnel, the construction hazard analysis operation of the next real-time inspection location of the current construction area is continued until it is completed.

[0020] For further information, see Figure 1 - Figure 2 , the operation steps for collecting the real-time status image data of the construction area and the current construction plan date data are as follows: S11. Use the drone equipped with a cloud camera to capture the real-time status image of the entire construction site and generate real-time status image data of the construction area ; The timing module collects the current construction time at the construction site and generates the current construction plan date data ,The current construction plan date data consists of year, month and day.

[0021] The steps for analyzing and processing the construction plan workload of the current date based on the current construction plan date data and the construction plan workload data of different dates, generating the current construction plan date workload data and performing data processing to construct the real-time status image segmentation quantity of the current construction area are as follows: S21. Establish a data set of construction workload on different dates , ;in Indicates Construction workload data for different dates, It indicates the maximum value of the construction workload data on different dates. The construction workload data on different dates indicate the percentage of the construction workload on different construction schedule dates of the construction project to the construction workload of the entire construction project. S22, using iterative deepening search algorithm to search the current construction plan date data Data collection of construction workload on different dates Construction workload data for different dates Compare the construction plan date values ​​and search for the current construction plan date data Corresponding construction plan workload data for different dates And generate the workload data of the current construction plan date through data identification ,in The unit of is piece; S23, the current construction schedule date workload data The corresponding percentage numbers are processed for data identification to construct the number of real-time status image segmentations of the current construction area. The number of real-time state image segmentations in the current construction area indicates the number of real-time state image data collected in the construction area. The number of image segmentations performed; the number of real-time state image segmentations of the construction area is positively correlated with the workload of the current construction plan date. Because the greater the workload of the current construction plan date, the denser the equipment, raw materials, and personnel on the construction site, and the more careful the safety inspection work on the construction site needs to be, the real-time state image data of the construction area is needed. The larger the number of image segmentations performed.

[0022] According to the real-time state image data of the construction area and the number of real-time state image segmentations of the current construction area, the real-time state image segmentation and spatial position positioning data processing of the construction area are performed to generate the real-time inspection position image data of the current construction area as follows: S31. Workload data based on the current construction schedule Real-time status image data of the construction area Perform image grid segmentation processing, and obtain the spatial position coordinates of the construction site corresponding to the center of the real-time grid segmentation image of the construction area, and combine the data with the real-time grid segmentation image of the construction area to generate the real-time inspection position image data set of the current construction area , ;in Indicates Real-time inspection location image data of the current construction area, It indicates the maximum value of the number of real-time inspection positions in the current construction area. The image data of the real-time inspection positions in the current construction area includes the spatial coordinate data and image data of the real-time inspection positions in the current construction area; the spatial coordinate data includes longitude, latitude and altitude.

[0023] Through the cooperation between the real-time status image acquisition unit of the construction area and the current construction plan date acquisition unit, the cloud lens and timing module equipped with the drone are used to realize the dynamic and accurate acquisition of the real-time status image and the current construction plan date of the entire construction site; the current construction plan workload search unit and the current construction area real-time status image segmentation parameter generation unit cooperate with each other, based on the construction plan workload parameters of different dates preset by big data and the current construction plan date parameters, date digital analysis and processing are performed, the current construction plan date workload is scientifically analyzed, and the current construction area real-time status image segmentation quantity parameters are accurately established in conjunction with numerical analysis, so as to realize scientific adjustment of the construction area real-time status image segmentation quantity; the current construction area real-time inspection position image generation unit processes the real-time status image segmentation and spatial position positioning data of the construction area, efficiently and accurately establishes the real-time inspection position image parameters of the current construction area, realizes the standardized construction of the inspection position and the real-time status image of the inspection position in the entire construction site, and improves the efficiency of collecting safety inspection information on the construction site.

[0024] For further information, see Figure 1 - Figure 2 , based on the real-time inspection position image data of the current construction area and the dangerous image data of different types of construction sites, the construction danger analysis processing of the inspection position of the construction area is performed to generate the danger analysis data of the real-time inspection position of the current construction area. When there is no danger, the danger analysis operation of the next real-time inspection position of the current construction area is continued until the end. The operation steps are as follows: S41. Establish a data set of dangerous images of different types of construction sites , ;in Indicates Different types of construction site hazard image data corresponding to different types of construction site hazard types, Indicates the maximum number of hazard types at the construction site; hazard types at the construction site include construction operation hazard, scaffolding hazard, electrical hazard, mechanical operation hazard, chemical exposure hazard, construction material hazard, transportation safety hazard, and environmental factor hazard; S42, collect the real-time inspection position image data of the current construction area Real-time inspection location image data of the current construction area A collection of dangerous image data of different types of construction sites, sorted by the number of the current construction area's real-time inspection locations. Dangerous image data of different types of construction sites Perform image feature matching to search for real-time inspection location image data of the current construction area Corresponding dangerous image data of different types of construction sites And generate real-time inspection location hazard analysis data for the current construction area , execute and generate real-time inspection location hazard analysis data of the current construction area The steps are as follows: S421, initialization, update the maximum number of iterations T and update the location of the construction danger search pelican population. The formula for updating the location of the construction danger search pelican population is as follows: ,in Indicates Construction hazard search pelican individuals in the The position of the dimension, i.e. Construction hazard search pelican individuals in dimension A collection of dangerous images of different types of construction sites The position in the search space, Indicates the position adjustment of the random integer, rand indicates a random number in the range [0,1], and Indicated in The upper and lower boundaries of the problem are solved in the dimension A collection of dangerous images of different types of construction sites Real-time inspection position image data of the current construction area in the search space Different types of dangerous image data of construction sites for image feature matching The number of upper and lower boundaries; S422, exploration phase, construction hazard search pelican determines the location of prey, that is, a collection of dangerous image data at different types of construction sites Search the search space for real-time inspection location image data of the current construction area Different types of dangerous image data of construction sites for image feature matching Then the construction hazard search pelican individual to the existence of different types of construction site hazard image data The algorithm can be used to analyze the regional movement of construction site danger images and model the pelican’s approach strategy for prey. The search space is scanned, and the target prey is different types of dangerous image data of construction sites Dangerous image data collection of different types of construction sites The search space is randomly generated, that is, the formula for approaching the prey strategy is as follows: ,in Indicates the exploration phase after the update Construction hazard search pelican individuals in the The position of the dimension, that is, the position of the first dimension after the exploration phase update Construction hazard search pelican individuals in dimension A collection of dangerous images of different types of construction sites Search the search space to find the real-time inspection position image data of the current construction area Different types of dangerous image data of construction sites for image feature matching location, For prey in The location of the dimension, that is, the real-time inspection location image data of the current construction area Different types of dangerous image data of construction sites for image feature matching The prey is in dimension A collection of dangerous images of different types of construction sites The position in the search space, is the objective function value of the prey, For the The objective function value of the construction hazard search pelican individual; S423, Development stage, Construction Hazard Search Pelican collects dangerous image data of different types of construction sites All different types of construction site hazard image data in the search space Conduct target prey hunting search, that is, a collection of dangerous image data at different types of construction sites Search the search space for real-time inspection location image data of the current construction area Different types of dangerous image data of construction sites for image feature matching , this behavior process of the construction danger search pelican is modeled. The algorithm checks the position near the construction danger search pelican position so that the algorithm converges to a better position. The calculation formula of the construction danger search pelican in hunting behavior is as follows: ,in Indicates the development phase after the update Construction Hazard Search Pelicans in The position of the dimension, that is, the first Construction Hazard Search Pelican at Dimension A collection of dangerous images of different types of construction sites Search the search space to find the real-time inspection position image data of the current construction area Different types of dangerous image data of construction sites for image feature matching location, is a random integer of 0 or 2; t is the current iteration number; T is the maximum iteration number; S424: When the algorithm meets the maximum number of iterations, output the real-time inspection position image data of the current construction area Different types of dangerous image data of construction sites for image feature matching ; S425: Based on the real-time inspection position image data of the current construction area in step S424 Dangerous image data of different types of construction sites Perform image feature matching to generate real-time inspection location hazard analysis data for the current construction area ; when and If the image feature matching is successful, it means that there is a construction hazard at the real-time inspection location of the current construction area; then the hazard analysis data of the real-time inspection location of the current construction area is output. If there is a construction hazard, the type of hazard at the construction site will be output simultaneously; when and If the image feature matching fails, it means that there is no construction hazard at the current real-time inspection location of the construction area; then the hazard analysis data of the current real-time inspection location of the construction area is output. To ensure that there is no construction hazard, continue to perform the construction hazard analysis work at the next real-time inspection location of the current construction area until completion.

[0025] When there is danger, the construction site safety inspection area where the current construction danger is located is identified based on the real-time inspection position image data of the current construction area and the spatial position coordinate data of the construction site safety inspection area. The operation steps for generating the identification data of the current construction danger construction site safety inspection area are as follows: S51. Establishing the spatial position coordinate data set matrix of the construction site safety inspection area , ;in Indicates The spatial location coordinate data set of the construction site safety inspection area corresponding to the construction site safety inspection area, Indicates the maximum number of construction site safety inspection areas, the construction site safety inspection area spatial position coordinate data set indicates the set of construction site safety inspection area spatial position coordinate data of different construction site safety inspection areas divided at the construction site, the construction site safety inspection area spatial position coordinate data includes the longitude, latitude and altitude of a specific spatial position within the construction site safety inspection area; S52, when the unified cost search algorithm is used to obtain the real-time inspection position image data of the current construction area The spatial coordinate data of the real-time inspection position of the current construction area and the spatial position coordinate data set matrix of the safety inspection area of ​​the construction site A collection of spatial coordinate data of the safety inspection area of ​​the construction site The internal construction site safety inspection area spatial position coordinate data is matched with coordinate numerical characters to search for the real-time inspection position image data of the current construction area. The corresponding construction site safety inspection area is identified by data and generates the current construction danger construction site safety inspection area identification data .

[0026] According to the current construction site safety inspection area identification data and the contact data of the inspection personnel in the construction site safety inspection area, the inspection personnel contact information of the construction site safety inspection area where the current construction danger is located is searched and processed, and the operation steps for generating the inspection personnel contact data of the current construction site safety inspection area are as follows: S61. Establish a contact data set of inspection personnel in the construction site safety inspection area ,in Indicates The contact data of the inspection personnel in the construction site safety inspection area corresponding to each construction site safety inspection area. The contact data of the inspection personnel in the construction site safety inspection area indicates the contact data of the inspection personnel responsible for the safety inspection site management in the different construction site safety inspection areas divided at the construction site. The contact data of the inspection personnel in the construction site safety inspection area includes any one of WeChat, QQ, and telephone; S62, using iterative deepening search algorithm to identify the current construction site safety inspection area data According to the construction site safety inspection area number and the construction site safety inspection area inspection personnel contact data collection Contact data of inspectors in the construction site safety inspection area Perform character matching to search for the current construction site safety inspection area identification data of dangerous construction sites Contact data of the corresponding construction site safety inspection area inspectors And identify and generate the contact data of the inspection personnel in the safety inspection area of ​​the current construction site .

[0027] Through the cooperation of different types of construction site danger image storage units and the current construction area real-time inspection position danger type analysis unit, based on the big data storage of different types of construction site danger image parameters combined with intelligent recognition algorithm and the current construction area real-time inspection position image parameters, intelligent analysis of construction danger types is carried out to achieve accurate monitoring of construction danger types at the on-site inspection position of the entire construction site; the construction site safety inspection area position storage unit and the current construction danger construction site safety inspection area identification unit cooperate with each other, and independently establish the construction site safety inspection area spatial position coordinate parameters combined with the intelligent search algorithm and the current construction area real-time inspection position image parameters for coordinate analysis. The inspection personnel information storage unit of the construction site safety inspection area and the inspection personnel information search unit of the current construction site safety inspection area cooperate with each other, and the inspection personnel contact parameters of the construction site safety inspection area are scientifically preset, combined with the intelligent search algorithm and the inspection personnel contact information search of the current construction site safety inspection area identification parameters, to accurately search for the inspection personnel contact information of the construction site where the construction hazard occurs, and realize accurate retrieval of the information of the construction site safety inspection management personnel.

[0028] For further information, see Figure 1 - Figure 2, construct the current construction area construction inspection hazard result data and push it to the inspection personnel. When the current construction area construction inspection hazard result data is pushed to the inspection personnel, the operation steps of continuing to perform the next current construction area real-time inspection location construction hazard analysis operation until the end are as follows: S71, real-time inspection position image data of the current construction area , Real-time inspection location hazard analysis data of the current construction area After data combination, it is constructed into the construction inspection hazard result data of the current construction area ; S72, the current construction area construction inspection hazard result data Contact data of inspectors in the area of ​​safety inspection of construction sites with current construction hazards Push to the inspection personnel in the safety inspection area of ​​the construction site where the current construction hazard is located; when the construction inspection hazard result data of the current construction area When the inspection work is not completed, the inspection personnel will continue to execute the operation instructions; when the inspection hazard result data of the current construction area is When the task is completed and pushed to the inspection personnel, the construction hazard analysis task of the next real-time inspection location in the current construction area will be continued until it is completed.

[0029] Through the construction area construction hazard information generation unit, based on the real-time inspection position image parameters of the current construction area and the real-time inspection position hazard analysis parameters of the current construction area, the current construction area construction inspection hazard result parameters are scientifically constructed to achieve efficient and accurate collection of on-site construction hazard information of the construction site; the construction area construction hazard push unit sends the current construction area construction inspection hazard result parameters to the inspection personnel in a timely and accurate manner based on the contact information of the inspection personnel in the current construction hazard construction site safety inspection area, thereby achieving efficient feedback processing of on-site construction hazard information at the construction site and improving the efficiency and applicability of on-site safety inspections at the construction site.

[0030] Embodiment 2: See also Figure 1 - Figure 2 , a construction site safety inspection system based on big data, a construction site safety inspection method based on big data, the system includes a construction area construction information collection module, a construction area construction information evaluation module, and a construction area construction hazard feedback module; The construction area construction information acquisition module includes a construction area real-time status image acquisition unit, a current construction plan date acquisition unit, a different date construction plan workload storage unit, a current construction plan workload search unit, a current construction area real-time status image segmentation parameter generation unit, and a current construction area real-time inspection position image generation unit; The real-time state image acquisition unit of the construction area collects the real-time state image data of the construction area through the cloud lens carried by the drone; the current construction plan date acquisition unit collects the current construction plan date data through the timing module; the different date construction plan workload storage unit is used for the different date construction plan workload data based on the big data storage; the current construction plan workload search unit performs the current date construction plan workload analysis and processing based on the current construction plan date data and the construction plan workload data of different dates, and generates the current construction plan date workload data; the current construction area real-time state image segmentation parameter generation unit performs data processing on the current construction plan date workload data to construct the current construction area real-time state image segmentation number; the current construction area real-time inspection position image generation unit performs construction area real-time state image segmentation and spatial position positioning data processing based on the construction area real-time state image data and the current construction area real-time state image segmentation number, and generates the current construction area real-time inspection position image data; The construction area construction information assessment module includes a storage unit for dangerous images of different types of construction sites, a dangerous type analysis unit for the real-time inspection position of the current construction area, a storage unit for the location of the construction site safety inspection area, a unit for identifying the safety inspection area of ​​the current construction danger site, a storage unit for the information of the inspection personnel of the safety inspection area of ​​the construction site, and a search unit for the information of the inspection personnel of the safety inspection area of ​​the current construction danger site; Different types of construction site danger image storage units are used to store different types of construction site danger image data based on big data; the current construction area real-time inspection position danger type analysis unit performs construction area inspection position construction danger analysis based on the current construction area real-time inspection position image data and different types of construction site danger image data, and generates the current construction area real-time inspection position danger analysis data; the construction site safety inspection area position storage unit is used to store the construction site safety inspection area spatial position coordinate data based on big data storage; the current construction danger construction site safety inspection area identification unit performs construction danger analysis based on the current construction area real-time inspection position image data and the construction site safety inspection area spatial coordinate data. The location coordinate data is used to identify the construction site safety inspection area where the current construction hazard is located, and the identification data of the construction site safety inspection area with the current construction hazard is generated; the construction site safety inspection area inspection personnel information storage unit is used to store the contact data of the inspection personnel in the construction site safety inspection area based on big data; the current construction site safety inspection area inspection personnel information search unit is used to search and process the contact information of the inspection personnel in the construction site safety inspection area where the current construction hazard is located according to the current construction hazard construction site safety inspection area identification data and the contact data of the inspection personnel in the construction site safety inspection area, and generate the contact data of the inspection personnel in the construction site safety inspection area with the current construction hazard; The construction area construction hazard feedback module includes a construction area construction hazard information generation unit and a construction area construction hazard push unit; The construction area construction hazard information generation unit constructs the current construction area construction inspection hazard result data; the construction area construction hazard push unit pushes the current construction area construction inspection hazard result data to the inspection personnel based on the current construction hazard construction site safety inspection area inspection personnel contact data.

[0031] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A construction site safety inspection method based on big data, characterized in that: The method comprises the following steps: S1, collect real-time status image data of the construction area and current construction plan date data; S2, analyzing and processing the construction plan workload of the current date based on the current construction plan date data and the construction plan workload data of different dates, generating the current construction plan date workload data and performing data processing to construct the real-time state image segmentation quantity of the current construction area; S3, performing construction area real-time state image segmentation and spatial position positioning data processing according to the construction area real-time state image data and the current construction area real-time state image segmentation number, to generate current construction area real-time inspection position image data; S4, based on the real-time inspection position image data of the current construction area and the dangerous image data of different types of construction sites, the construction danger analysis processing of the inspection position of the construction area is performed to generate the danger analysis data of the real-time inspection position of the current construction area, and when there is no danger, the construction danger analysis operation of the next real-time inspection position of the current construction area is continued to be performed until the end; S5. When there is a danger, the construction site safety inspection area where the current construction danger is located is identified based on the real-time inspection position image data of the current construction area and the spatial position coordinate data of the construction site safety inspection area, and the identification data of the construction site safety inspection area of ​​the current construction danger is generated; S6, searching and processing the contact information of the inspection personnel in the construction site safety inspection area where the current construction danger is located according to the identification data of the current construction danger construction site safety inspection area and the contact data of the inspection personnel in the construction site safety inspection area, and generating the contact data of the inspection personnel in the construction site safety inspection area where the current construction danger is located; S7. Construct the construction inspection hazard result data of the current construction area and push it to the inspection personnel. When the operation of pushing the construction inspection hazard result data of the current construction area to the inspection personnel is completed, continue to execute the construction hazard analysis operation of the next real-time inspection location of the current construction area until it is completed.

2. A construction site safety inspection method based on big data according to claim 1, characterized in that: The S1 comprises the following steps: S11. Use the drone equipped with a cloud camera to capture the real-time status image of the entire construction site and generate real-time status image data of the construction area ; The timing module collects the current construction time at the construction site and generates the current construction plan date data .

3. A construction site safety inspection method based on big data according to claim 2, characterized in that: The S2 comprises the following steps: S21. Establish a data set of construction workload on different dates , ;in Indicates Construction workload data for different dates, Indicates the maximum value of the number of construction plan workload data on different dates, wherein the construction plan workload data on different dates indicates the percentage of the construction volume of the construction project on different construction plan dates to the construction volume of the entire construction project; S22, using an iterative deepening search algorithm to search the current construction plan date data The data set of construction workload plan for different dates Construction workload data for different dates as described in Compare the construction plan date values ​​and search for the current construction plan date data The corresponding construction plan workload data for different dates And generate the workload data of the current construction plan date through data identification ,in The unit of is piece; S23, the workload data of the current construction plan date The corresponding percentage numbers are processed for data identification to construct the number of real-time status image segmentations of the current construction area. The number of segmentation of the current real-time state image of the construction area represents the number of segmentation of the real-time state image data of the construction area collected. The number of image segmentations to perform.

4. The method for on-site safety inspection of construction sites based on big data according to claim 3 is characterized by: The S3 comprises the following steps: S31, based on the workload data of the current construction plan date Real-time status image data of the construction area Perform image grid segmentation processing, and obtain the spatial position coordinates of the construction site corresponding to the center of the real-time grid segmentation image of the construction area, and combine the data with the real-time grid segmentation image of the construction area to generate the real-time inspection position image data set of the current construction area , ;in Indicates Real-time inspection location image data of the current construction area, It represents the maximum value of the number of real-time inspection positions in the current construction area. The image data of the real-time inspection positions in the current construction area includes the spatial coordinate data and image data of the real-time inspection positions in the current construction area; the spatial coordinate data includes longitude, latitude and altitude.

5. A construction site safety inspection method based on big data according to claim 4, characterized in that: The S4 comprises the following steps: S41. Establish a data set of dangerous images of different types of construction sites , ;in Indicates Different types of construction site hazard image data corresponding to different types of construction site hazard types, Indicates the maximum number of hazard types at the construction site; S42: Collect the real-time inspection position image data of the current construction area Real-time inspection position image data of the current construction area described in The real-time inspection position number of the current construction area is sorted and the dangerous image data set of different types of construction sites is Different types of construction site hazard image data described in Perform image feature matching to search for the real-time inspection location image data of the current construction area Corresponding to the different types of dangerous image data of construction sites And generate real-time inspection location hazard analysis data for the current construction area , execute and generate the real-time inspection location hazard analysis data of the current construction area The steps are as follows: S421, initialization, updating the maximum number of iterations T and updating the location of the construction danger search pelican population; S422, exploration phase, construction hazard search pelican determines the location of prey, that is, a collection of dangerous image data at different types of construction sites Search the search space for real-time inspection location image data of the current construction area Different types of dangerous image data of construction sites for image feature matching Then the construction hazard search pelican individual to the existence of different types of construction site hazard image data The algorithm can be used to analyze the regional movement of construction site danger images and model the pelican’s approach strategy for prey. The search space is scanned, and the target prey is different types of dangerous image data of construction sites Dangerous image data collection of different types of construction sites The search space is randomly generated; S423, Development stage, Construction Hazard Search Pelican collects dangerous image data of different types of construction sites All different types of construction site hazard image data in the search space Conduct target prey hunting search, that is, a collection of dangerous image data at different types of construction sites Search the search space for real-time inspection location image data of the current construction area Different types of dangerous image data of construction sites for image feature matching ,This behavior process of the construction hazard searching pelican is modeled, and the algorithm checks the positions near the construction hazard searching pelican so that the algorithm converges to a better position; S424: When the algorithm meets the maximum number of iterations, output the real-time inspection position image data of the current construction area Different types of dangerous image data of construction sites for image feature matching ; S425: Based on the real-time inspection position image data of the current construction area in step S424 Dangerous image data of different types of construction sites Perform image feature matching to generate real-time inspection location hazard analysis data for the current construction area ; when and If the image feature matching is successful, it means that there is a construction hazard at the real-time inspection location of the current construction area; then the hazard analysis data of the real-time inspection location of the current construction area is output. If there is a construction hazard, the type of hazard at the construction site will be output simultaneously; when and If the image feature matching fails, it means that there is no construction hazard at the current real-time inspection location of the construction area; then the hazard analysis data of the current real-time inspection location of the construction area is output. To ensure that there is no construction hazard, continue to perform the construction hazard analysis work at the next real-time inspection location of the current construction area until completion.

6. A construction site safety inspection method based on big data according to claim 5, characterized in that: The S5 comprises the following steps: S51. Establishing the spatial position coordinate data set matrix of the construction site safety inspection area , ;in Indicates The spatial location coordinate data set of the construction site safety inspection area corresponding to the construction site safety inspection area, Indicates the maximum number of construction site safety inspection areas, the construction site safety inspection area spatial position coordinate data set represents a set of construction site safety inspection area spatial position coordinate data of different construction site safety inspection areas divided at the construction site, the construction site safety inspection area spatial position coordinate data includes the longitude, latitude and altitude of a specific spatial position within the construction site safety inspection area; S52, when the unified cost search algorithm is used to search the real-time inspection position image data of the current construction area The spatial coordinate data of the real-time inspection position of the current construction area and the spatial position coordinate data set matrix of the safety inspection area of ​​the construction site A collection of spatial coordinate data of the safety inspection area of ​​the construction site The internal spatial position coordinate data of the construction site safety inspection area is matched with the coordinate value character to search for the real-time inspection position image data of the current construction area. The corresponding construction site safety inspection area is identified by data and generates the current construction danger construction site safety inspection area identification data .

7. A construction site safety inspection method based on big data according to claim 6, characterized in that: The S6 comprises the following steps: S61. Establish a contact data set of inspection personnel in the construction site safety inspection area ,in Indicates The contact data of the inspection personnel in the construction site safety inspection area corresponding to each construction site safety inspection area, wherein the contact data of the inspection personnel in the construction site safety inspection area represents the contact data of the inspection personnel responsible for the safety inspection site management of the different construction site safety inspection areas divided at the construction site; S62, using an iterative deepening search algorithm to identify the current dangerous construction site safety inspection area data According to the construction site safety inspection area number, contact the inspection personnel of the construction site safety inspection area. Contact data of the inspectors in the construction site safety inspection area as described in Perform character matching to search for the current construction site safety inspection area identification data of the dangerous construction site Corresponding contact data of the inspection personnel in the construction site safety inspection area And identify and generate the contact data of the inspection personnel in the safety inspection area of ​​the current construction site .

8. The method for on-site safety inspection of construction sites based on big data according to claim 7 is characterized by: The S7 comprises the following steps: S71: Real-time inspection position image data of the current construction area , the real-time inspection location hazard analysis data of the current construction area After data combination, it is constructed into the construction inspection hazard result data of the current construction area ; S72: The current construction area construction inspection hazard result data Contact data of inspectors in construction site safety inspection areas according to the current construction hazards Push to the inspection personnel of the safety inspection area of ​​the construction site where the current construction hazard is located; when the construction inspection hazard result data of the current construction area When the inspection work is not completed, the inspection personnel continue to execute the operation instructions; when the current construction area construction inspection hazard result data When the task is completed and pushed to the inspection personnel, the construction hazard analysis task of the next real-time inspection location in the current construction area will be continued until it is completed.

9. A construction site safety inspection system based on big data, used to implement a construction site safety inspection method based on big data as claimed in any one of claims 1 to 8, characterized in that: The system comprises a construction area construction information collection module, a construction area construction information evaluation module, and a construction area construction hazard feedback module.

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