无线传感网络在企业安全生产监控系统中的应用研究
发布时间：2019-03-17 07:10
【摘要】：我国经济高速发展,企业生产规模日益扩大,生产自动化程度不断提高,其安全生产问题也成为企业和社会关注的重点。传统的人工监控方式具有滞后性等缺点,已不再适合现代企业发展的需求,而有线网络监控系统存在布线复杂、维修困难、扩展性差以及监控盲区等缺点,也逐渐难以满足企业发展的需求。无线传感器网络具有结构灵活、可扩展性好、自组织、多跳路由等特点,适用于复杂环境工况,能够较好的满足企业安全生产过程中实时监控的需求。论文将无线传感器网络应用于企业安全生产监控系统中,对无线传感网络的数据采集技术和接入外网方式进行了研究,设计了基于无线传感网络的企业安全生产监控系统,其组成包括数据采集网络、网关以及远程监控计算机三部分。该系统解决了目前有线监控网络存在布线复杂、网络维护困难等问题,实现了企业生产过程中的环境参数的实时监控。论文根据企业安全生产监控系统的方案设计,进行了硬件设计和软件开发。硬件设计方面包括:ZigBee数据采集网络节点的硬件设计、传感器模块的电路设计,网关最小系统的实现以及网关外围接口电路设计。数据采集网络节点的硬件设计采用模块化设计思想,减少设计的复杂度,减小无线电路的干扰。软件开发方面包括:ZigBee数据采集网络的软件设计、网关系统的软件设计以及远程监控计算机上位机软件开发。其中数据采集网络软件设计包括ZigBee协议h_的分析、终端节点、路由节点以及协调器节点的程序设计;网关系统软件设计包括Linux操作系统的移植和应用软件的开发;远程监控计算机软件开发包括Qt的界面设计和基于TCP/IP协议的通信程序设计。通过对企业安全生产监控系统的硬件设计和软件开发,实现了安全生产监控系统的自动数据采集、数据远程传输和远程监控计算机数据实时显示功能。论文还对多传感器数据融合方法进行了研究,分析了数据融合对于无线传感器网络的重要意义,详细阐述了基于自适应加权数据融合算法和基于分批估计的自适应加权数据融合算法实现过程。结合系统采集的温度数据,对两种数据融合算法进行了多传感器融合分析,验证了经过分批处理后的自适应加权数据融合算法融合后的值更接近真值,并能有效的减少网络通信量、延长网络寿命。
[Abstract]:With the rapid economic development of our country, the production scale of enterprises is expanding day by day, and the degree of production automation is constantly increasing. The safety of production has also become the focus of the enterprises and the society. The traditional manual monitoring method has some shortcomings such as lag and so on, and it is no longer suitable for the development of modern enterprises. However, the wired network monitoring system has some disadvantages such as complicated wiring, difficult maintenance, poor expansibility and monitoring blind area, and so on. It is also gradually difficult to meet the needs of the development of enterprises. Wireless sensor network has the characteristics of flexible structure, good expansibility, self-organization, multi-hop routing and so on. It is suitable for complex environmental conditions and can meet the needs of real-time monitoring in the safe production process of enterprises. In this paper, the wireless sensor network is applied to the enterprise safety production monitoring system. The data acquisition technology and the access mode of the wireless sensor network are studied, and the enterprise safety production monitoring system based on the wireless sensor network is designed. It consists of three parts: data acquisition network, gateway and remote monitoring computer. The system solves the problems of complex wiring and difficult network maintenance in the current wired monitoring network, and realizes the real-time monitoring of environmental parameters in the production process of enterprises. According to the scheme design of safety production monitoring system, hardware design and software development are carried out in this paper. The hardware design includes the hardware design of the ZigBee data acquisition network node, the circuit design of the sensor module, the implementation of the gateway minimum system and the design of the peripheral interface circuit of the gateway. The hardware design of the data acquisition network node adopts the modular design idea to reduce the complexity of the design and the interference of the wireless circuit. The software development includes the software design of ZigBee data acquisition network, the software design of gateway system and the software development of remote monitoring computer. The software design of data acquisition network includes the analysis of ZigBee protocol, the program design of terminal node, routing node and coordinator node, the software design of gateway system, including the transplantation of Linux operating system and the development of application software. The software development of remote monitoring computer includes interface design of Qt and communication program design based on TCP/IP protocol. Through the hardware design and software development of the safety production monitoring system, the functions of automatic data acquisition, long-distance data transmission and real-time display of the computer data of the safety production monitoring system are realized. This paper also studies the method of multi-sensor data fusion, and analyzes the significance of data fusion for wireless sensor networks. The realization process of adaptive weighted data fusion algorithm based on adaptive weighted data fusion algorithm and batch estimation based adaptive weighted data fusion algorithm is described in detail. Combined with the temperature data collected by the system, the multi-sensor fusion analysis of the two data fusion algorithms is carried out, which verifies that the fusion value of the adaptive weighted data fusion algorithm after batch processing is closer to the true value. And can reduce the network traffic effectively, prolong the network life.
【学位授予单位】：兰州交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212.9;TN92;TP277
本文编号：2442044
[Abstract]:With the rapid economic development of our country, the production scale of enterprises is expanding day by day, and the degree of production automation is constantly increasing. The safety of production has also become the focus of the enterprises and the society. The traditional manual monitoring method has some shortcomings such as lag and so on, and it is no longer suitable for the development of modern enterprises. However, the wired network monitoring system has some disadvantages such as complicated wiring, difficult maintenance, poor expansibility and monitoring blind area, and so on. It is also gradually difficult to meet the needs of the development of enterprises. Wireless sensor network has the characteristics of flexible structure, good expansibility, self-organization, multi-hop routing and so on. It is suitable for complex environmental conditions and can meet the needs of real-time monitoring in the safe production process of enterprises. In this paper, the wireless sensor network is applied to the enterprise safety production monitoring system. The data acquisition technology and the access mode of the wireless sensor network are studied, and the enterprise safety production monitoring system based on the wireless sensor network is designed. It consists of three parts: data acquisition network, gateway and remote monitoring computer. The system solves the problems of complex wiring and difficult network maintenance in the current wired monitoring network, and realizes the real-time monitoring of environmental parameters in the production process of enterprises. According to the scheme design of safety production monitoring system, hardware design and software development are carried out in this paper. The hardware design includes the hardware design of the ZigBee data acquisition network node, the circuit design of the sensor module, the implementation of the gateway minimum system and the design of the peripheral interface circuit of the gateway. The hardware design of the data acquisition network node adopts the modular design idea to reduce the complexity of the design and the interference of the wireless circuit. The software development includes the software design of ZigBee data acquisition network, the software design of gateway system and the software development of remote monitoring computer. The software design of data acquisition network includes the analysis of ZigBee protocol, the program design of terminal node, routing node and coordinator node, the software design of gateway system, including the transplantation of Linux operating system and the development of application software. The software development of remote monitoring computer includes interface design of Qt and communication program design based on TCP/IP protocol. Through the hardware design and software development of the safety production monitoring system, the functions of automatic data acquisition, long-distance data transmission and real-time display of the computer data of the safety production monitoring system are realized. This paper also studies the method of multi-sensor data fusion, and analyzes the significance of data fusion for wireless sensor networks. The realization process of adaptive weighted data fusion algorithm based on adaptive weighted data fusion algorithm and batch estimation based adaptive weighted data fusion algorithm is described in detail. Combined with the temperature data collected by the system, the multi-sensor fusion analysis of the two data fusion algorithms is carried out, which verifies that the fusion value of the adaptive weighted data fusion algorithm after batch processing is closer to the true value. And can reduce the network traffic effectively, prolong the network life.
【学位授予单位】：兰州交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212.9;TN92;TP277
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