| Summary: | 碩士 === 國防大學中正理工學院 === 電子工程研究所 === 96 === Built on the IEEE 802.15.4 standard, ZigBee is an emerging wireless networking technology with the characteristics of low cost, low power consumption, low data rates, and having up to 65535 device nodes in each network. ZigBee can operate in harsh radio environments and in isolated locations. Thus, it is very suitable to be applied in many remote control and sensor applications for home and industry, including lighting control, remote reading of electric meters, wireless smoke detecting, medical sensing and monitoring, building automation, and so on. Aiming to satisfy the requirements of factory monitoring and control, this thesis proposes a ZigBee-based wireless intelligent monitoring and control system. First, an intelligent locating scheme that employs ZigBee radio signal strength, neural network, and triangle locating technique is designed such that the desired equipment, tools, and personnel can be located on demand. Second, the mechanisms of environmental monitoring and control together with equipment-abnormality alarming are developed. As such, various abnormities can be promptly reported and handled to ensure that equipment can operate properly and personnel can be protected safely. Then, a communication failover mechanism using ZigBee is built to prevent the message transmission in the system from being broken. Finally, a paradigm remote monitoring and control system for a semiconductor factory is constructed. The results of integrated tests show that in terms of functionality, the proposed system creatively integrates the mechanisms of object locating, remote monitoring and control, abnormality-alarm handling, and communication failover in a wireless manner. It can effectively improve the shortcomings of traditional factory monitoring and control systems, such as wiring problem, difficulty to dynamically expand monitoring points, lacking indoor-locating and communication-failover capabilities, and high deployment cost. On the other hand, the system demonstrates good performances as well. For example, a remote control operation can be completed within 235 ms, which is rather prompt. The locating scheme is capable of achieving accuracy with an average error of 1 meter, which may fulfill the demands of general indoor locating. It is believed that the research results could be a useful reference for constructing new-generation monitoring and control systems for factory applications.
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