摘要
井下定位技术对煤矿安全生产起着重要作用。通过分析BP神经网络的特点,提出一种以接收信号强度RSSI为基础的结合BP神经网络的无线传感器定位方案。仿真结果显示该方法满足井下定位需求。
The underground location technology plays an important role for safety production in coal mine. By analyzing the characteristics of the BP neural network, proposed a wireless sensor network positioning scheme based on BP neural network and RSSI. The experiments showed that the design meet the requirements in underground mine.
出处
《煤矿机械》
北大核心
2012年第11期261-263,共3页
Coal Mine Machinery
