| Archives are a kind of precious information resources.As an institution for storing and keeping archives,the internal management level of archives has a direct impact on the integrity and security of archives.Therefore,the internal monitoring of archives is particularly important.With the rapid development of information technology and Internet of Things technology,the traditional archives environment monitoring system has been unable to meet the intelligent,personalized and digital needs of the society for information management.The traditional environmental monitoring system of archives warehouses generally adopts manual monitoring,which has many disadvantages such as poor real-time performance,difficulty in obtaining data,low efficiency,delay in handling unexpected abnormal situations,weak security and so on.Based on the above problems,this paper combines the environmental monitoring technology and access control technology,and designs a set of intelligent archive warehouse monitoring and management system.The system is mainly composed of three parts:lower computer system,upper computer monitoring system and access control system client.The lower computer system is mainly composed of a monitor mounted with a variety of environmental sensors and a controller mounted with a number of environmental equipment,which is responsible for real-time collection of multiple environmental parameters and equipment status in multiple warehouses and regions.The upper computer monitoring system is a visual system developed based on Qt.It communicates with the lower computer system in real time through Modbus-RTU or Modbus TCP protocol,monitors the environmental data and equipment status in each warehouse and each area in real time,and stores and processes the environmental data detected in real time through My SQL database.When any abnormal situation occurs in the internal environment of the warehouse,the system will start the automatic alarm mechanism and automatically send the corresponding control instructions to the lower computer system to realize the open and close control of the corresponding equipment.At the same time,as the server of the access control system,the upper computer monitoring system carries out image transmission with the client of the access control system through TCP/IP,carries out face recognition on the received real-time image data,and sends the result of face recognition to the client of the access control system for further processing.The client of the access control system uses the Raspberry Pi 4B+development board as the hardware platform and the Linux operating system as the software platform.The CSI camera is used to realize image acquisition,and the image is transmitted in real time by TCP/IP protocol to the monitoring system of the upper computer.At the same time,the electromagnetic lock is controlled by the face recognition results received.The system adopts C/S design mode,chooses C++programming language,adopts My SQL database,and develops based on QT development framework.The system can monitor the internal environment of multiple warehouses and areas in real time.The staff can view the on-site environmental parameters and equipment status of the warehouse through the PC client,and can also view the monitoring video of the access control terminal in real time.Finally,after a long time of testing,the system has completed the expected functions,and good real-time,high stability,high security,and achieved access control system based on face recognition. |
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