| 基于WSN的煤矿风机振动监测系统 |
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| 引用本文： | 梁杰,洪虹,王凯旋.基于WSN的煤矿风机振动监测系统[J].电脑编程技巧与维护,2014(18):14-15. |
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| 作者姓名： | 梁杰 洪虹 王凯旋 |
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| 作者单位： | 1. 天地科技股份有限公司上海分公司,上海,200030
2. 西安科技大学,西安,710054 |
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| 摘 要： | 设计了一种基于无线传感器网络(WSN)的煤矿风机振动监测系统。该系统用温度传感器、振动传感器采集煤矿主风机设备的运行状态数据,借助于无限传感网络将数据统一传送至监测中心的上位机,实现对煤矿风机设备的远程监测,并在此基础上运用支持向量机对采集到的风机振动信号做趋势预测。
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| 关 键 词： | 煤矿 风机设备 监测系统 支持向量机 趋势预测 |
Coal Mine Fan Vibration Monitoring System Based on Wireless Sensor Network |
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| LIANG Jie,HONG Hong,WANG Kai-xuan.Coal Mine Fan Vibration Monitoring System Based on Wireless Sensor Network[J].Computer Programming Skills & Maintenance,2014(18):14-15. |
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| Authors: | LIANG Jie HONG Hong WANG Kai-xuan |
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| Affiliation: | LIANG Jie, HONG Hong, WANG Kai-xuan (1. Tiandi Science and Technology limited by Share Ltd Shanghai Branch, Shanghai 200030, China; 2. Xi＇an University of Science and Technology, Xi＇an 710054, China) |
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| Abstract: | A coal mine fan vibration monitoring system based on wireless sensor network is designed in this paper. The sys- tem adopts the temperature sensor, vibrating sensor to collect the running data of the main fan equipment, With the aid of infinite sensor network data transmission to monitoring center upper machine, Implement the remote monitoring fan in coal mine equipment , On the basis of it , using support vector machine （SVM） of fan vibration signal collected trend prediction. |
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| Keywords: | coal mine fan device monitoring system SVM trend prediction |
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