Mine Equipment Based On Wireless Sensor Network Positioning Technology

The 21st century is the time of information technology, digital information have made a profound impact on mining industry. China's mining industry is developing toward high-intensity and high-productivity. The security risks and monitor management of mining process is urgent to solve, and traditional technologies can not meet the current needs of the mining industry. Recent years, remote mining and wireless monitoring technology has become the development trend. Wireless sensor networks system is a digital technology that can monitor and gather information from monitor region in real time. Wireless sensor networks, which have integrated wireless communication, data collection and information processing capacities, is a self-organization network. The application of wireless sensor networks systems in underground mining process to monitor environmental, can effectively improve the efficiency and safety.Localization technology is one of the key technologies in the application of the WSN. The nature condition of underground mine is complicated, to effectively monitor the environment and equipment, it must have accurate positioning technologies to localize mobile devices. In this thesis, the localization algorithm is studied and analyzed. First of all, according to the wireless transmission environment, we take the received signal strength indicator (RSSI) to measure the distance between nodes. Second, we studied the localization technology in the tunnel region based on common algorithm, and used Genetic Algorithm (GA) to optimize the coordinate computed by the RSSI. This algorithm narrows range of the parameters by the coordinate, and improves the accuracy of the localization.In this thesis, we simulated the optimized GA in Matlab. Simulation shows that, in tunnel region, optimized GA improves the localization precision and adaptability.