摘要
煤矿井下机电设备状态的检测是煤炭安全生产的基本保障,随着信息技术、传感技术、无线通信技术等快速的发展,将各项技术应用于煤矿井下机电设备状态监测已经成为煤矿现代化生产的重要组成部分。对煤矿井下机电设备状态监测技术进行分析,主要包括物联网关键技术、BP神经网络两大技术要点,并对各项技术在煤矿井下机电设备状态监测的应用进行探讨,旨在为提高煤矿井下机电设备状态监测技术水平提供参考。
The detection of coal mine underground electromechanical equipment is the basic guarantee of the safety of coal production, along with the development of information technology, sensor technology, wireless communication technology and so fast, the application of the technology in the coal mine electrical and mechanical equipment condition monitoring has become an important part of modem coal mine production. This paper analyzed the coal mine electromechanieal equipment state monitoring technology,mainly including two technical points, key technology of the Internet of , BP neural network.It also discussed the technology used in condition monitoring of coal mine electrical and mechanical equipment, in order to provide reference for improving the level of state monitoring technology for electromechanical equipment of coal mine.
出处
《煤炭科技》
2017年第2期89-91,94,共4页
Coal Science & Technology Magazine
关键词
煤矿开采
机电设备
监测技术
coal mining
electromechanical equipment
monitoring technology