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利用ZigBee无线传感器网络,设计了一套人员三维定位功能以及井下环境检测功能融为一体的煤矿安全预警系统。该系统采用传感器节点采集数据的方式对井下各种环境参数进行实时监测,通过三边定位方法实现了工作人员的三维定位。为了提高数据的精度,选用卡尔曼滤波算法对检测数据进行相应处理,完成处理后数据经过以太网传输至监控PC机。实践证明,本系统具有稳定性、实时性、准确性以及快速性。
Using ZigBee wireless sensor network, a set of coal mine safety early-warning system is designed, which integrates three-dimensional positioning function of personnel and underground environment detection function. The system uses sensor nodes to collect data for real-time monitoring of various environmental parameters downhole, and realizes the three-dimensional positioning of staff through the trilateral positioning method. In order to improve the accuracy of the data, the Kalman filtering algorithm is selected to process the detection data. After processing, the data is transmitted to the monitoring PC via Ethernet. Practice has proved that the system has the stability, real-time, accuracy and speed.