Design And Implementation Of Safety Monitoring System For Steel Structure Construction Site

Steel structure building is an indispensable part of the current architectural structure.However,the existing safety monitoring of steel structure construction site is not systematic,and it is unable to carry out safety early warning and condition monitoring comprehensively and timely,which endangers the safety of construction personnel and affects the development of construction enterprises.Therefore,this paper designs the safety monitoring system of steel structure construction site.The system integrates the advantages of cloud computing and edge computing,adopts the cloud edge collaborative architecture,designs and deploys the edge computing platform through container technology,and designs and deploys the cloud computing and monitoring platform with the help of micro service technology,so as to realize the systematic safety monitoring of steel structure construction site.The specific research contents are as follows:First of all,YOLOSS target detection algorithm is proposed to solve the problems of low detection accuracy and high false detection and missed detection rate under the circumstance of complex background and foreground occlusion.The algorithm improves the non-maximum suppression strategy in post-processing and enhances the detection ability of the model under foreground occlusion.The attention mechanism is introduced to reduce the influence of background on detection subject.Combined with multi-target tracking algorithm,multi-target detection and tracking are realized.Secondly,the influence of monitoring system architecture on system performance is analyzed,and a system model is built to calculate the unloading strategy analysis.A consistent hash load balancing algorithm is introduced to reduce the cost of computing resource migration.A task scenario-sensitive unloading strategy based on consistent hashing is proposed to meet the typical calculation scenarios and requirements of steel structure construction site and realize reliable unloading of computing tasks.Then,the edge-end computing platform architecture is designed to meet the requirements of edge computing in steel structure construction scenarios.Build backend edge computing platform,deploy helmet detection and multi-target tracking services,and realize the stable monitoring of personnel security risks;A containerization scheme applied to edge computing platform is proposed,and edge services are designed and deployed in containerization mode to realize resource isolation and environment standardization of service deployment.Finally,aiming at the shortcomings of edge computing platform,the system framework of cloud computing and monitoring visualization platform is designed based on micro-services.The deployment of computing services to achieve a full range of cloud security monitoring of potential safety risks of steel structure construction site personnel and building structure;Visual cloud computing and monitoring platform,providing friendly interactive interface;Combined with containerized edge computing platform,cloud-edge collaborative computing capability is provided to realize a systematic steel structure construction site safety monitoring system.