| In recent years,with the rapid development of the national economy and the improvement of people’s living standards,the people’s material and cultural life has continued to improve.After satisfying the basic living guarantee,the people’s material,cultural,and spiritual life has been continuously enriched,and entertainment programs have become more diverse.In cities,the places people choose may be outdoor parks,amusement parks,etc.,or indoor shopping malls,museums,and art galleries.Security for large indoor stadiums in cities also faces challenges.Traditional security methods mainly rely on human patrols and guards to prevent them before they occur.With the development of society,the size of indoor venues and the complexity of buildings have also increased.Traditional methods of monitoring security will inevitably become inefficient.The increase in the flow of people is bound to bring some uncertain security factors.It cannot rely solely on traditional human security methods,and requires more efficient management strategies.For example,for the emergency treatment of indoor fires,we need to respond efficiently and evacuate people.We need modern sensors and other equipment to monitor the temperature or smoke in various places in the room.For specific people,effective monitoring is required.We need to use cameras to The people in the picture are identified;the management of species,materials and equipment in the venue also needs information management.Therefore,it is necessary to develop an advanced security management system for indoor stadiums.Use various sensors and computers to monitor and manage the venue information to reduce the number of staff and efficiently process various information.By analyzing the current status of the management of the security system of the Innovation Pavilion,and comparing it with the domestic and international situation,according to the actual needs,the business needs analysis and functional requirements analysis of the system were conducted to build an indoor venue security system.The article mainly explains and implements the four major modules of emergency management,personnel management,emergency resource management,and system authority management.In terms of system implementation,the Spring framework was used for software development;for system stability,a service deployment method of master-slave services was used;for various potential crisis responses in the venue,the Internet of Things technology was used,and temperature sensors,Equipment such as smoke sensors and light sensors are deployed in various areas of the venue.In the face of unexpected emergencies,timely response processing can be achieved.In the key technology of face recognition,YOLO algorithm is used to extract the faces in the picture,and then the inception structure is used to design the neural network to encode the faces,and the Euclidean distance between different faces is measured to measure Whether the faces are the same face,to improve the monitoring efficiency of specific people.Implemented an efficient and intelligent emergency security system.This system uses Spring MVC and deep learning-related technologies to improve the management capabilities of the security system and enhance security measures.In terms of software design,the combination of material management,personnel management and emergency management in the venues enables emergency security to play a better role,while also enabling more effective information management.Under the master-slave service mode,the system’s disaster tolerance performance is good,ensuring the stable operation of the system in the event of an unexpected downtime in the stand-alone operation.In the face recognition function,deep learning-related technologies are used.Compared with traditional machine learning algorithms,the accuracy rate is more than 97%,and real-time detection can be performed.In terms of system environment deployment,the docker platform is used,which makes the system’s test environment and the deployment of the official operating environment more efficient,saving the time and hardware costs required by the system during development and operation of the official operating environment. |