基于ZigBee无线传感器网络的变电站人员定位的改进算法研究

Research on the improved personnel localization method in transformer substation based on ZigBee wireless sensor network

为了对在数字化变电站中的人员进行精确、低成本的定位,将ZigBee无线传感器网络引入到变电站,并对其目前用于变电站中人员定位的直接测距算法进行了改进,提出了模糊推理算法。该算法将每个参考节点接收的信号强度和参考节点间的相对距离作为输入,经模糊化、模糊推理、去模糊化后得到每个参考节点接收信号强度的可信度,然后取三个可信度高的参考节点进行三边定位计算。仿真结果表明,所提出的算法可在使用较少节点且不添加任何硬件的条件下明显提高变电站中人员的定位精度。

In order to realize personnel localization in digital transformer substation with high accuracy and low cost, the ZigBee wireless sensor network is introduced, the currently used direct ranging method is improved, and the fuzzy reasoning algorithm is proposed. In the fuzzy reasoning algorithm, the received signal strength indication （RSSI） of each reference node and the relative distance between two reference nodes are considered as input value, and the confidence degree of RSSI of each reference node can be obtained after the fuzzification, fuzzy inference and defuzzification. Then the trilateral localization calculation can be carried out consequently through three reference nodes with higher confidence degree. The simulation results indicate that the proposed algorithm, which only needs less nodes and does not need any additional hardware, obtains less localization errors and better accuracy than the ranging algorithm.