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智能档案库房监控管理系统的设计与实现

Design and Implementation of Intelligent Archive Warehouse Monitoring and Management System

【作者】 杨晓霞;

【导师】 张国平;

【作者基本信息】 华中师范大学 , 信息与通信工程, 2021, 硕士

【摘要】 档案是一种珍贵的信息资源,档案库房作为存储和保管档案的机构,其内部的管理程度直接影响档案的完整性及安全性。因此,档案库房内部的监控尤为重要。随着信息技术和物联网技术的高速发展,传统的档案库房环境监控系统已经无法满足社会对信息管理的智能化、个性化、数字化的需求。传统的档案库房环境监控系统一般采用人工监测的方式,存在诸多弊端如实时性差、获取数据难度大、效率低下,面对突发异常情况处理不及时、安全性弱等。基于上述问题,本文将环境监控技术及门禁监控技术相结合,设计出了一套智能档案库房监控管理系统。该系统主要由下位机系统、上位机监控系统及门禁系统客户端三部分组成。下位机系统主要由挂载了多种环境传感器的监测器及挂载了多个环境设备的控制器组成,负责实时采集多库房多区域内部的多个环境参数及设备状态。上位机监控系统是基于QT开发的可视化系统,通过Modbus-RTU或Modbus TCP协议与下位机系统实时通信,实时监测各个库房各个区域内环境数据及设备状态,并通过My SQL数据库对实时监测到的环境数据进行存储及处理。当任一库房内部环境发生异常情况时,系统将启动自动报警机制,自动向下位机系统发送相应控制指令,实现对相应设备的开闭控制。上位机监控系统同时作为门禁系统的服务端,通过TCP/IP与门禁系统客户端进行图像传输,对接收的实时图像数据进行人脸识别,并将人脸识别的结果发送至门禁系统客户端以便进一步处理。门禁系统客户端以树莓派4B+开发板作为硬件平台,Linux操作系统作为软件平台,利用CSI摄像头实现图像采集,并使用TCP/IP协议将图像实时传输至上位机监控系统,同时通过接收到的人脸识别结果对电磁锁进行门锁控制。该系统采用C/S设计模式,选用C++编程语言,采用My SQL作为系统数据库,基于QT开发框架进行开发。系统实时监控多个库房多个区域内部环境,工作人员可通过可视化界面查看库房现场环境参数及设备状态,也可实时查看门禁端监控视频。最后,经过长时间测试,本系统完成了预期的各项功能,且实时性好,稳定性高,安全性较高,同时实现了基于人脸识别的门禁系统。

【Abstract】 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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