| 基于BP神经网络的井下定位技术研究 |
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| 引用本文： | 胡兵,王刚,陈常山,张净. 基于BP神经网络的井下定位技术研究[J]. 煤矿机械, 2012, 33(11): 261-263 |
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| 作者姓名： | 胡兵 王刚 陈常山 张净 |
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| 作者单位： | 中国矿业大学物联网(感知矿山)研究中心,江苏徐州221008;中国矿业大学信息与电气工程学院,江苏徐州221008 |
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| 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。
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| 关 键 词： | BP神经网络 RSSI 无线传感器网络 节点定位 |
Study of Wireless Location Based on BP Neural Network in Coal Mine |
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| HU Bing , WANG Gang , CHEN Chang-shan , ZHANG Jing. Study of Wireless Location Based on BP Neural Network in Coal Mine[J]. Coal Mine Machinery, 2012, 33(11): 261-263 |
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| Authors: | HU Bing WANG Gang CHEN Chang-shan ZHANG Jing |
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| Affiliation: | 1,2(1.Research Centre of Internet of Things(Sensor Mine),China University of Mining and Technology,Xuzhou 221008,China;2.College of Information and Electrical Engineering,China University of Mining and Technology,Xuzhou 221008,China) |
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| Abstract: | 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. |
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| Keywords: | BP neural network RSSI wireless sensor network(WSN) node localization |
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