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作 者:张耀[1,2] 丁恩杰[1,2] 史岩岩[1,2] 李红星[1,2] 奚锦锦[1,2]
机构地区:[1]中国矿业大学信息与电气工程学院,江苏徐州221116 [2]中国矿业大学物联网(感知矿山)研究中心,江苏徐州221008
出 处:《计算机测量与控制》2012年第12期3302-3305,共4页Computer Measurement &Control
摘 要:引入基于wifi的无线网络到感知矿山系统中,设计并实现一种基于wifi的人员状态感知节点,使用加速度传感器单元ADXL345获取人员状态信息;节点硬件采用低功耗的wifi模块GS1011,软件采用基于μ-velosity的嵌入式操作系统,实现传感器数据的采集和发送;介绍了节点的软硬件设计,并进行了测试,得到人员不同状态的SVM值,可以根据SVM值正确判断人员的状态,且性能稳定。The wireless sensor network based on wifi was introduced to perception of mining systems. A wireless sensor network node was designed and based on the wifi. The acceleration sensor unit of ADXL345 was applied to get the information of miner state. The bardware development of the node was based on the low power wifi SOC GS1011 and the software was based on the μ--velosity embedded operation system. Thus the data acquisition and transmission of the sensor could be realized. The paper introduced the software and hardware design of the node. The test showed the value of SVM on different motion state could be obtained, that state of miners could be confirmed correctly with stable performances.
关 键 词:GS1011 μ-velosity ADXL345 人员状态
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