Intelligent construction site unmanned security control system

Abstract

This invention discloses an unmanned security management system for smart construction sites, relating to the field of security management. It includes: a security deployment module for constructing a three-dimensional security deployment network; a deployment management module for setting corresponding edge monitoring nodes according to the constructed three-dimensional security deployment network; a data acquisition module for acquiring security monitoring information; an edge processing module for performing edge analysis on the acquired security monitoring information to obtain node security early warning information at the corresponding edge monitoring nodes; a collaborative processing module for collaboratively processing the security early warning information of each node according to its location within the three-dimensional security deployment network to obtain collaborative feedback information; and a security management module for obtaining feedback monitoring information based on the collaborative feedback information, and performing comprehensive security management based on the security monitoring information and feedback monitoring information to generate security management information. This invention improves the efficiency and accuracy of security management to a certain extent.

Description

Technical Field

[0001] This invention relates to the field of security management technology, and in particular to an unmanned security management system for smart construction sites. Background Technology

[0002] With the rapid iteration of key technologies such as the Internet of Things, edge computing, and drone inspection, the construction of smart construction sites has become an inevitable trend for the transformation and upgrading of the construction industry. As a core link to ensure the safety of construction workers and the economic benefits of projects, the construction site security management and control has many blind spots, slow response speed, and lack of data interoperability in traditional construction site security monitoring. The existing smart construction site security technology and equipment have poor coordination and insufficient adaptability, making the demand for unmanned and intelligent upgrades increasingly urgent.

[0003] A search revealed Chinese invention patent CN116153023A, which discloses a highly efficient and accurate intelligent construction site hazard event rapid response early warning and control system. The system includes a site monitoring system, an alarm system, an environmental monitoring system, and a meteorological monitoring system. The site monitoring system monitors the status of personnel and machinery at the construction site. The alarm system handles alarms throughout the control system, alerting relevant personnel. The environmental monitoring system detects external environmental factors at the construction site and obtains site data. The meteorological monitoring system obtains weather conditions near the construction date and provides information on impending severe weather. This highly efficient and accurate intelligent construction site hazard event rapid response early warning and control system provides comprehensive multi-faceted monitoring of site and environmental conditions, promptly alerting to anomalies, reducing the occurrence of dangerous accidents, and improving construction safety.

[0004] Compared with existing technologies, the invention patent with Chinese patent number CN116153023A can install video surveillance front-ends at construction site entrances and dangerous areas to collect video information and realize access control management, linkage safety hazard identification, and real-time identification and alarm of violations such as absenteeism, thereby improving the response speed to dangerous events.

[0005] However, in actual use, the above system uses meteorological monitoring to uniformly schedule and manage the construction site, without taking into account the different work processes corresponding to different construction sites within the site, and the possible correlation between the various construction sites. This, to some extent, affects the accuracy and efficiency of security control at each construction site within the site. Summary of the Invention

[0006] The purpose of this invention is to address the shortcomings of insufficient accuracy and low efficiency in existing technologies by proposing an unmanned on-site security and control system for smart construction sites.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: The unmanned security and control system for smart construction sites includes a security deployment module, a deployment management module, a data acquisition module, an edge processing module, a collaborative processing module, and a security control module. The security deployment module is used to acquire basic information of the construction site, hardware acquisition terminal information, and historical security control information, and to construct a three-dimensional security deployment network based on the basic information of the construction site and the hardware acquisition terminal information. The deployment management module is used to set up edge monitoring nodes according to the information in the constructed 3D security deployment network, connect the various edge monitoring nodes, and map the basic information of the construction site to the corresponding edge monitoring node locations. The data acquisition module is used to obtain corresponding security monitoring information based on the hardware acquisition terminal information at each edge monitoring node within the 3D security deployment network; The edge processing module is used to perform edge analysis on the obtained security monitoring information based on the corresponding edge monitoring nodes, the corresponding construction site basic information, and historical security control information, and to obtain node security early warning information at the corresponding edge monitoring nodes. The collaborative processing module is used to collaboratively process the security early warning information of each edge monitoring node according to the corresponding location information and construction site basic information within the three-dimensional security deployment network, and obtain collaborative feedback information. The security management module is used to acquire the corresponding feedback monitoring information from the data acquisition module based on the collaborative feedback information from each edge monitoring node within the 3D security deployment network. It then performs comprehensive security management based on the security monitoring information and the feedback monitoring information to generate security management information.

[0008] The above technical solution further includes: the security deployment module includes: Data acquisition unit and deployment management unit; The data acquisition unit is used to input and collect relevant basic information of the construction site, hardware acquisition terminal information, and historical security control information. The basic information of the construction site includes spatial structure information, construction process information, and personnel organization information; The hardware acquisition terminal information includes hardware device identification information, hardware operating parameter information, and hardware installation location information; The historical security control information includes historical security event information, historical security constraint information, and historical early warning management information; The deployment management unit is used to construct a three-dimensional security deployment network based on the obtained basic information of the construction site and the information of the hardware acquisition terminal.

[0009] Furthermore, the process by which the deployment management unit constructs a three-dimensional security deployment network includes: A three-dimensional spatial coordinate system is set up, and the spatial structural information corresponding to the basic information of the construction site is mapped to the three-dimensional spatial coordinate system to generate a three-dimensional construction structure model. The hardware installation location information corresponding to the hardware acquisition terminal information is mapped to the location in the three-dimensional construction structure model. Based on the mapping results at the corresponding locations, the basic information of the construction site and the hardware acquisition terminal information are matched with the location information. A three-dimensional security deployment network is constructed based on the location information matching results. The three-dimensional security deployment network is used to describe the hardware acquisition terminal information and the basic information of the construction site corresponding to each location information.

[0010] Furthermore, the deployment management module includes: Obtain the location information corresponding to each hardware acquisition terminal in the 3D security deployment network, set up corresponding edge monitoring nodes according to the location information corresponding to each hardware acquisition terminal, and map and store the construction site basic information, hardware acquisition terminal information and historical security control information at the corresponding locations to the corresponding edge monitoring nodes. Each edge monitoring node is connected according to its adjacent location within its respective 3D security deployment network to obtain the node topology network.

[0011] Furthermore, the process by which the data acquisition module obtains the corresponding security monitoring information includes: Each edge monitoring node sets the corresponding hardware operation basic scheme in the corresponding hardware acquisition terminal information based on historical security control information. The hardware operation basic scheme includes the hardware operation parameter information of the corresponding hardware acquisition terminal in the corresponding time period. Based on the hardware operation plan, the corresponding hardware device identification information is adjusted to obtain the corresponding security monitoring information, and the obtained security monitoring information is uploaded to the corresponding edge monitoring node.

[0012] Furthermore, the process by which the edge processing module obtains node security early warning information at the corresponding edge monitoring node includes: The obtained historical security control information is subjected to multi-dimensional feature extraction, which includes personnel feature extraction, construction feature extraction, spatial distribution features and early warning feature data. Based on the multi-dimensional feature extraction results, feature data of corresponding historical security event information are obtained, and the obtained feature data is subjected to hierarchical progressive association analysis. Based on the hierarchical progressive association analysis results, a multi-dimensional feature database is constructed. Each edge monitoring node performs multi-dimensional feature extraction on the security monitoring information it obtains to acquire the monitoring feature data corresponding to the security monitoring information. The obtained monitoring feature data are compared and matched sequentially according to the hierarchical progressive association analysis results in the multidimensional feature database, and multidimensional matching data is obtained based on the comparison and matching results. The obtained multidimensional matching data are set with warning weight coefficients according to the corresponding historical warning management information. The warning weights are then weighted and calculated to obtain monitoring and warning information. Set up warning level ranges, compare and match the obtained monitoring and warning information with the corresponding warning level ranges, obtain the warning level range to which each monitoring and warning information belongs, and generate node security warning information based on the warning level range to which it belongs and the monitoring and warning information.

[0013] Furthermore, the process by which the collaborative processing module obtains collaborative feedback information includes: The node security early warning information at each edge monitoring node is visualized according to its location within the node topology network. Based on the visualization results, collaborative filtering is performed, and the corresponding edge monitoring node within the node topology network is selected based on the collaborative filtering results. Using the selected edge monitoring node as the center, the corresponding collaborative radius is set according to the visualization processing results. The corresponding collaborative edge monitoring nodes within the node topology network are obtained. The current hardware operation basic scheme at the obtained collaborative edge monitoring node is adjusted according to the distance from the center edge monitoring node and the visualization processing results at the center edge monitoring node. The hardware operation collaborative scheme at the collaborative edge monitoring node is obtained based on the operation adjustment results. Collaborative feedback information is obtained based on the hardware operation collaborative scheme at each collaborative edge monitoring node.

[0014] Furthermore, the process by which the security control module generates security control information includes: Acquire collaborative feedback information from each edge monitoring node within the 3D security deployment network, and obtain the corresponding feedback monitoring information within the data acquisition module based on the collaborative feedback information from each edge monitoring node within the 3D security deployment network; The obtained feedback monitoring information is analyzed and processed according to the process of obtaining the node security early warning information at the corresponding edge monitoring node by the edge processing module, and the corresponding node feedback early warning information is obtained. The node security early warning information and node feedback early warning information obtained from each edge monitoring node are integrated for security management and control. A comprehensive management and control cycle is set, and the overlap rate data of node security early warning information and node feedback early warning information within the comprehensive management and control cycle is obtained. Based on the overlap rate data, the comprehensive early warning information within the comprehensive management and control cycle is obtained. Based on the security control information set for each warning level range, the warning level range to which the comprehensive warning information belongs is obtained. Comprehensive security control is carried out based on the security control information corresponding to the warning level range, security control information is generated, and it is fed back to the corresponding edge monitoring node.

[0015] The present invention has the following beneficial effects: 1. In this invention, a three-dimensional security deployment network is set up to uniformly manage data information in different construction sites within the construction site. The data collection process and collaboration process are flexibly adjusted according to the basic information of the construction site and the information of the hardware acquisition terminal corresponding to different locations. This improves the flexibility of unmanned security control at the corresponding construction site to a certain extent. In addition, it avoids the use of a uniform monitoring standard, which can lead to resource waste and inaccurate control to a certain extent.

[0016] 2. In this invention, multi-dimensional feature extraction is performed on the obtained historical security control information to obtain corresponding feature data. The obtained feature data is then subjected to hierarchical progressive association analysis. A multi-dimensional feature database is constructed based on the results of the hierarchical progressive association analysis. Based on the constructed multi-dimensional feature database, a progressive analysis is performed on the matching process of monitoring feature data corresponding to security monitoring pheromones. This can improve the efficiency and accuracy of the data matching process to a certain extent.

[0017] 3. In this invention, risk warning analysis is performed on the security monitoring data obtained at each location through various edge monitoring nodes. Based on the risk warning analysis results, the hardware operation parameter information of edge monitoring nodes at other adjacent locations within the three-dimensional security deployment network is coordinated. Corresponding feedback monitoring information is obtained based on the hardware operation parameter information. The obtained feedback monitoring information and security monitoring information are integrated for security control to generate security control information, thereby improving the accuracy of unattended security control to a certain extent. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the unmanned on-site security and control system for smart construction sites proposed in this invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Example 1, as Figure 1As shown, the unmanned security and control system for smart construction sites proposed in this invention includes a security deployment module, a deployment management module, a data acquisition module, an edge processing module, a collaborative processing module, and a security control module. The security deployment module is used to acquire basic information of the construction site, hardware acquisition terminal information, and historical security control information, and to construct a three-dimensional security deployment network based on the basic information of the construction site and the hardware acquisition terminal information. The deployment management module is used to set up edge monitoring nodes according to the information in the constructed 3D security deployment network, connect the various edge monitoring nodes, and map the basic information of the construction site to the corresponding edge monitoring node locations. The data acquisition module is used to obtain corresponding security monitoring information based on the hardware acquisition terminal information at each edge monitoring node within the 3D security deployment network; The edge processing module is used to perform edge analysis on the obtained security monitoring information based on the corresponding edge monitoring nodes, the corresponding construction site basic information, and historical security control information, and to obtain node security early warning information at the corresponding edge monitoring nodes. The collaborative processing module is used to collaboratively process the security early warning information of each edge monitoring node according to the corresponding location information and construction site basic information within the three-dimensional security deployment network, and obtain collaborative feedback information. The security management module is used to acquire the corresponding feedback monitoring information from the data acquisition module based on the collaborative feedback information from each edge monitoring node within the 3D security deployment network. It then performs comprehensive security management based on the security monitoring information and the feedback monitoring information to generate security management information.

[0021] In the specific implementation process, the security deployment module acquires basic information of the construction site, hardware acquisition terminal information, and historical security control information. The process of constructing a three-dimensional security deployment network based on the basic information of the construction site and the hardware acquisition terminal information includes: The security deployment module includes a data acquisition unit and a deployment management unit; The data acquisition unit is used to input and collect relevant basic information of the construction site, hardware acquisition terminal information, and historical security control information. The basic information of the construction site includes spatial structure information, construction process information, and personnel organization information; The hardware acquisition terminal information includes hardware device identification information, hardware operating parameter information, and hardware installation location information; The historical security control information includes historical security event information, historical security constraint information, and historical early warning management information; The deployment management unit is used to construct a three-dimensional security deployment network based on the obtained basic information of the construction site and the information from the hardware acquisition terminals. The process includes: A three-dimensional spatial coordinate system is set up, and the spatial structure information corresponding to the basic information of the construction site is mapped to the three-dimensional spatial coordinate system to generate a three-dimensional construction structure model. The three-dimensional construction structure model is the spatial structure information corresponding to each construction site in the smart construction site. The hardware installation location information corresponding to the hardware acquisition terminal information is mapped to the location in the three-dimensional construction structure model. Based on the mapping results at the corresponding locations, the basic information of the construction site and the hardware acquisition terminal information are respectively matched with the location information. A three-dimensional security deployment network is constructed based on the location information matching results. The three-dimensional security deployment network is used to describe the hardware acquisition terminal information and the basic information of the construction site corresponding to each location information. It should be further explained that, in the specific implementation process, the purpose of mapping the hardware acquisition terminal information and the basic information of the construction site to the corresponding positions in the three-dimensional construction structure model is to facilitate the subsequent edge monitoring nodes to set up the hardware operation basic scheme based on the basic information of the construction site, and to analyze and process the security monitoring information obtained by the hardware operation basic scheme, thereby improving the efficiency and accuracy of the security control process within the system.

[0022] In the specific implementation process, the deployment management module sets up edge monitoring nodes according to the information within the constructed three-dimensional security deployment network, connects each edge monitoring node, and maps the basic information of the construction site to the corresponding edge monitoring node locations. The process includes: Obtain the location information corresponding to each hardware acquisition terminal in the 3D security deployment network, set up corresponding edge monitoring nodes according to the location information corresponding to each hardware acquisition terminal, and map and store the construction site basic information, hardware acquisition terminal information and historical security control information at the corresponding locations to the corresponding edge monitoring nodes. Connect each edge monitoring node according to its adjacent position within its respective 3D security deployment network to obtain the node topology network; It should be further explained that, in the specific implementation process, during the acquisition of the node topology network, the adjacent positions of each edge monitoring node in the 3D security deployment network are connected to facilitate subsequent collaborative processing between edge monitoring nodes.

[0023] In the specific implementation process, the data acquisition module obtains the corresponding security monitoring information based on the hardware acquisition terminal information at each edge monitoring node within the three-dimensional security deployment network, including: Each edge monitoring node sets the corresponding hardware operation basic scheme in the corresponding hardware acquisition terminal information based on historical security control information. The hardware operation basic scheme includes the hardware operation parameter information of the corresponding hardware acquisition terminal in the corresponding time period. It should be further explained that, in the process of setting up the basic hardware operation scheme, the basic information of the construction site, the information of the hardware acquisition terminal and the historical security control information within the corresponding edge monitoring node are obtained. The hardware operation parameter information within the obtained hardware acquisition terminal information is classified and marked, including three types of markings: communication parameters, resolution parameters and acquisition parameters. The hardware operation parameter information corresponding to each type of marking is statistically analyzed in intervals to obtain the parameter operation intervals, and the unit operation parameters corresponding to each parameter operation interval are set. The construction process information includes various construction procedures; personnel organization information includes construction personnel organization information and inspection personnel organization information; historical safety constraint information includes time constraint information, personnel constraint information and construction constraint information corresponding to the construction procedure information and personnel organization information; and historical security control information includes historical data information on the unmanned on-site security control process within the smart construction site. The unit operating parameters within each parameter operating range are statistically analyzed based on the construction process information, personnel organization information, and historical security control information in the basic information of the construction site. Statistical comparison data of the unit operating parameters within each parameter operating range under different construction process information, personnel organization information, and historical security control information are obtained. Set the scheme management cycle, and obtain the corresponding unit operation parameters for each time period within the scheme management cycle based on the corresponding statistical comparison data of the basic construction site information, hardware acquisition terminal information and historical security control information within each edge monitoring node. Set the unit operation parameters for each time period obtained within the scheme management cycle as the hardware operation basic scheme. Based on the hardware operation plan, the corresponding hardware device identification information is used to adjust the operating parameters. Based on the result of the operating parameter adjustment, the corresponding security monitoring information is obtained and uploaded to the corresponding edge monitoring node. It should be further explained that, in the specific implementation process, each edge monitoring node adjusts the hardware operation parameter information of various types of hardware acquisition terminals at the corresponding location according to the hardware operation basic scheme, and obtains the corresponding security monitoring information based on the adjustment results. The security monitoring information includes video monitoring data and infrared monitoring data corresponding to the corresponding hardware acquisition terminal.

[0024] In the specific implementation process, the edge processing module performs edge analysis on the obtained security monitoring information based on the corresponding edge monitoring nodes, the corresponding construction site basic information, and historical security control information. The process of obtaining the node security early warning information at the corresponding edge monitoring node includes: The obtained historical security control information is subjected to multi-dimensional feature extraction, which includes personnel feature extraction, construction feature extraction, spatial distribution features, and early warning feature data. Based on the multi-dimensional feature extraction results, feature data of corresponding historical security event information are obtained, wherein: Personnel characteristic data includes personnel quantity characteristics, personnel behavior characteristics, personnel trajectory characteristics, and personnel status characteristics, etc. Construction characteristic data includes construction procedure characteristics, construction sequence characteristics, work type characteristics, and construction compliance characteristics, etc. Spatial distribution characteristics include regional type characteristics, boundary range characteristics, and distribution density characteristics; Early warning feature data includes security identification features, violation warning features, etc. The obtained feature data undergoes hierarchical progressive association analysis, and a multidimensional feature database is constructed based on the results of the hierarchical progressive association analysis. The process includes: The obtained personnel feature extraction, construction feature extraction, spatial distribution feature and early warning feature data are set into feature levels respectively. The feature levels include personnel feature level, construction feature level, spatial feature level and early warning feature level. The obtained feature data are stored in the corresponding feature level respectively. The feature data stored in each feature level are sequentially subjected to intra-level and inter-level feature extraction to obtain the corresponding feature combination datasets. These datasets are then analyzed and processed, with the corresponding feature data labeled as x and y, and the associated data labeled as r. Where: Where i is the data label for x and y, and These are the mean values ​​of the corresponding feature data; Set an association threshold, compare the obtained association data with the corresponding association threshold, and if the association data is greater than or equal to the association threshold, mark the corresponding feature data as associated. The association label results corresponding to each feature combination dataset within each feature level are hierarchically connected to obtain the association relationship between different feature data. A multidimensional feature database is generated based on the connection relationship between different feature data within and between each feature level. Each edge monitoring node performs multi-dimensional feature extraction on the security monitoring information it obtains to acquire the monitoring feature data corresponding to the security monitoring information. The obtained monitoring feature data are compared and matched sequentially according to the hierarchical progressive association analysis results in the multidimensional feature database, and multidimensional matching data is obtained based on the comparison and matching results. It should be further explained that, in the specific implementation process, the monitoring feature data is randomly matched with the feature data in each feature level in the multidimensional feature database. If there is a successfully matched feature data, then the feature data is matched progressively according to the connection relationship between the feature data and other feature data. Multidimensional matching data is obtained by comparing the matching results, which can improve the matching efficiency of multidimensional matching data to a certain extent. The obtained multidimensional matching data are set with warning weight coefficients according to the corresponding historical warning management information. The warning weights are then weighted and calculated to obtain monitoring and warning information. Set up warning level ranges, compare and match the obtained monitoring and warning information with the corresponding warning level ranges, obtain the warning level range to which each monitoring and warning information belongs, and generate node security warning information based on the warning level range to which it belongs and the monitoring and warning information.

[0025] In the specific implementation process, the collaborative processing module performs collaborative processing on the node security early warning information at each edge monitoring node according to the corresponding location information and basic construction site information within the three-dimensional security deployment network, and the process of obtaining collaborative feedback information includes: The node security early warning information at each edge monitoring node is visualized according to its location within the node topology network. Based on the visualization results, collaborative filtering is performed, and the corresponding edge monitoring node within the node topology network is selected based on the collaborative filtering results. It should be further explained that, in the specific implementation process, when visualizing the security early warning information of each edge monitoring node, corresponding visualization markers are set according to the warning level range to which they belong. For example, the warning level ranges are marked as no risk, low risk, medium risk and high risk, which correspond to green, yellow, orange and red respectively. The corresponding visualization area is set according to the location of the warning level range to which the monitoring and early warning information belongs. During the collaborative filtering of visualization results, edge monitoring nodes corresponding to orange and red areas are selected; Using the selected edge monitoring node as the center, a corresponding collaborative radius is set according to the visualization processing result. The collaborative radius is set according to the visualization area corresponding to the corresponding edge monitoring node. Obtain the corresponding collaborative edge monitoring nodes within the node topology network. Adjust the current hardware operation scheme at the obtained collaborative edge monitoring nodes based on the distance to the center edge monitoring node and the visualization processing results at the center edge monitoring node. Set the distance collaboration coefficient and early warning collaboration coefficient for the unit operation parameters corresponding to different types of silver gradient layer operation parameter information based on the corresponding distance and the visualization processing results at the center edge monitoring node. Based on the current hardware operation parameter information corresponding to the corresponding type within the hardware operation scheme, perform collaborative weighted calculation based on the distance collaboration coefficient and early warning collaboration coefficient. Obtain the corresponding hardware operation parameter information after coordination based on the collaborative weighted calculation results. The hardware operation coordination scheme at the collaborative edge monitoring node is obtained based on the operation adjustment results. The hardware operation coordination scheme contains different types of hardware operation parameter information at the corresponding collaborative edge monitoring node. Collaborative feedback information is obtained based on the hardware operation coordination scheme at each collaborative edge monitoring node.

[0026] In the specific implementation process, the security control module obtains the corresponding feedback monitoring information from the data acquisition module based on the collaborative feedback information from each edge monitoring node within the three-dimensional security deployment network. The process of generating security control information by comprehensively managing the security monitoring information and the feedback monitoring information includes: Acquire collaborative feedback information from each edge monitoring node within the 3D security deployment network, and obtain the corresponding feedback monitoring information within the data acquisition module based on the collaborative feedback information from each edge monitoring node within the 3D security deployment network; The obtained feedback monitoring information is analyzed and processed according to the process of obtaining the node security early warning information at the corresponding edge monitoring node by the edge processing module, and the corresponding node feedback early warning information is obtained. The node security early warning information and node feedback early warning information obtained from each edge monitoring node are integrated for security control. A comprehensive control period is set, and the overlap rate data of node security early warning information and node feedback early warning information within the comprehensive control period is obtained. An overlap threshold and an error threshold are set, where the overlap threshold is greater than the error threshold. If the overlap rate data is greater than or equal to the overlap threshold, the node security early warning information and node feedback early warning information are marked as comprehensive early warning information within the comprehensive control period. If the overlap rate data is less than the overlap threshold but greater than or equal to the error threshold, the overlap number corresponding to the node security early warning information and node feedback early warning information within the comprehensive control period is obtained as comprehensive early warning information within the comprehensive control period. If the overlap rate data is less than the error threshold, the node security early warning information and node feedback early warning information are marked as abnormal, and the comprehensive early warning information within the comprehensive control period is determined based on the node security early warning information, node feedback early warning information, and abnormal marking results. According to the security control information set for each warning level range, the warning level range to which the comprehensive warning information belongs is obtained, and comprehensive security control is carried out according to the security control information corresponding to the warning level range, generating security control information and feeding it back to the corresponding edge monitoring node; It should be further explained that, in the specific implementation process, the security control information includes corresponding early warning trigger information, audible and visual alarm information, etc.

[0027] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A construction site unmanned security and control system for smart construction sites, characterized in that: It includes a security deployment module, a deployment management module, a data acquisition module, an edge processing module, a collaborative processing module, and a security control module. The security deployment module is used to acquire basic information of the construction site, hardware acquisition terminal information, and historical security control information, and to construct a three-dimensional security deployment network based on the basic information of the construction site and the hardware acquisition terminal information. The deployment management module is used to set up edge monitoring nodes according to the information in the constructed 3D security deployment network, connect the various edge monitoring nodes, and map the basic information of the construction site to the corresponding edge monitoring node locations. The data acquisition module is used to obtain corresponding security monitoring information based on the hardware acquisition terminal information at each edge monitoring node within the 3D security deployment network; The edge processing module is used to perform edge analysis on the obtained security monitoring information based on the corresponding edge monitoring nodes, the corresponding construction site basic information, and historical security control information, and to obtain node security early warning information at the corresponding edge monitoring nodes. The collaborative processing module is used to collaboratively process the node security early warning information at each edge monitoring node according to the corresponding location information and construction site basic information within the three-dimensional security deployment network, and obtain collaborative feedback information. The security management module is used to acquire the corresponding feedback monitoring information from the data acquisition module based on the collaborative feedback information from each edge monitoring node within the 3D security deployment network. It then performs comprehensive security management based on the security monitoring information and the feedback monitoring information to generate security management information.

2. The unmanned security and control system for smart construction sites according to claim 1, characterized in that, The security deployment module includes: Data acquisition unit and deployment management unit; The data acquisition unit is used to input and collect relevant basic information of the construction site, hardware acquisition terminal information, and historical security control information. The basic information of the construction site includes spatial structure information, construction process information, and personnel organization information; The hardware acquisition terminal information includes hardware device identification information, hardware operating parameter information, and hardware installation location information; The historical security control information includes historical security event information, historical security constraint information, and historical early warning management information; The deployment management unit is used to construct a three-dimensional security deployment network based on the obtained basic information of the construction site and the information of the hardware acquisition terminal.

3. The unmanned security and control system for smart construction sites according to claim 2, characterized in that, The process by which the deployment management unit constructs a three-dimensional security deployment network includes: A three-dimensional spatial coordinate system is set up, and the spatial structural information corresponding to the basic information of the construction site is mapped to the three-dimensional spatial coordinate system to generate a three-dimensional construction structure model. The hardware installation location information corresponding to the hardware acquisition terminal information is mapped to the location in the three-dimensional construction structure model. Based on the mapping results at the corresponding locations, the basic information of the construction site and the hardware acquisition terminal information are matched with the location information. A three-dimensional security deployment network is constructed based on the location information matching results. The three-dimensional security deployment network is used to describe the hardware acquisition terminal information and the basic information of the construction site corresponding to each location information.

4. The unmanned security and control system for smart construction sites according to claim 3, characterized in that, The deployment management module includes: Obtain the location information corresponding to each hardware acquisition terminal in the 3D security deployment network, set up corresponding edge monitoring nodes according to the location information corresponding to each hardware acquisition terminal, and map and store the construction site basic information, hardware acquisition terminal information and historical security control information at the corresponding locations to the corresponding edge monitoring nodes. Each edge monitoring node is connected according to its adjacent location within its respective 3D security deployment network to obtain the node topology network.

5. The unmanned security and control system for smart construction sites according to claim 4, characterized in that, The process by which the data acquisition module obtains the corresponding security monitoring information includes: Each edge monitoring node sets the corresponding hardware operation basic scheme in the corresponding hardware acquisition terminal information based on historical security control information. The hardware operation basic scheme includes the hardware operation parameter information of the corresponding hardware acquisition terminal in the corresponding time period. Based on the hardware operation plan, the corresponding hardware device identification information is adjusted to obtain the corresponding security monitoring information, and the obtained security monitoring information is uploaded to the corresponding edge monitoring node.

6. The unmanned security and control system for smart construction sites according to claim 5, characterized in that, The process by which the edge processing module obtains node security early warning information at the corresponding edge monitoring node includes: The obtained historical security control information is subjected to multi-dimensional feature extraction, which includes personnel feature extraction, construction feature extraction, spatial distribution features and early warning feature data. Based on the multi-dimensional feature extraction results, feature data of corresponding historical security event information are obtained, and the obtained feature data is subjected to hierarchical progressive association analysis. Based on the hierarchical progressive association analysis results, a multi-dimensional feature database is constructed. Each edge monitoring node performs multi-dimensional feature extraction on the security monitoring information it obtains to acquire the monitoring feature data corresponding to the security monitoring information. The obtained monitoring feature data are compared and matched sequentially according to the hierarchical progressive association analysis results in the multidimensional feature database, and multidimensional matching data is obtained based on the comparison and matching results. The obtained multidimensional matching data are set with warning weight coefficients according to the corresponding historical warning management information. The warning weights are then weighted and calculated to obtain monitoring and warning information. Set up warning level ranges, compare and match the obtained monitoring and warning information with the corresponding warning level ranges, obtain the warning level range to which each monitoring and warning information belongs, and generate node security warning information based on the warning level range to which it belongs and the monitoring and warning information.

7. The unmanned security and control system for smart construction sites according to claim 6, characterized in that, The process by which the collaborative processing module obtains collaborative feedback information includes: The node security early warning information at each edge monitoring node is visualized according to its location within the node topology network. Based on the visualization results, collaborative filtering is performed, and the corresponding edge monitoring node within the node topology network is selected based on the collaborative filtering results. Using the selected edge monitoring node as the center, the corresponding collaborative radius is set according to the visualization processing results. The corresponding collaborative edge monitoring nodes within the node topology network are obtained. The current hardware operation basic scheme at the obtained collaborative edge monitoring node is adjusted according to the distance from the center edge monitoring node and the visualization processing results at the center edge monitoring node. The hardware operation collaborative scheme at the collaborative edge monitoring node is obtained based on the operation adjustment results. Collaborative feedback information is obtained based on the hardware operation collaborative scheme at each collaborative edge monitoring node.

8. The unmanned security and control system for smart construction sites according to claim 7, characterized in that, The process by which the security management module generates security management information includes: Acquire collaborative feedback information from each edge monitoring node within the 3D security deployment network, and obtain the corresponding feedback monitoring information within the data acquisition module based on the collaborative feedback information from each edge monitoring node within the 3D security deployment network; The obtained feedback monitoring information is analyzed and processed according to the process of obtaining the node security early warning information at the corresponding edge monitoring node by the edge processing module, and the corresponding node feedback early warning information is obtained. The node security early warning information and node feedback early warning information obtained from each edge monitoring node are integrated for security management and control. A comprehensive management and control cycle is set, and the overlap rate data of node security early warning information and node feedback early warning information within the comprehensive management and control cycle is obtained. Based on the overlap rate data, the comprehensive early warning information within the comprehensive management and control cycle is obtained. Based on the security control information set for each warning level range, the warning level range to which the comprehensive warning information belongs is obtained. Comprehensive security control is carried out based on the security control information corresponding to the warning level range, security control information is generated, and it is fed back to the corresponding edge monitoring node.

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