基于ZigBee技术的井下人员定位算法研究

Research on mining personnel location algorithm based on ZigBee technology

物联网是嵌入式计算机与物理设备紧密耦合的系统,在智能交通、智能医疗、智能煤矿等领域的应用日益广泛。然而,如何有效地设计出基于ZigBee技术的人员定位算法成为具有挑战性的研究课题。在分析国内外现有定位技术优势和缺陷的基础上,提出了一种一维环境下基于Zigbee技术的井下人员定位算法。该算法利用滤波、惯性导航等算法对计算结果进行优化,在保证定位信息实时性的同时,提高了定位精度和人员运动轨迹的真实性。通过实际煤矿所采集的数据,验证了算法的可行性及有效性。

The Internet of Things is a tightly coupled system composed of embedded computer and physical device, which is widely applied in many fields, such as, intelligent transportation, medical and smart mine. However, how to effec-tively design the personnel location algorithm based on ZigBee technology has become a challenging research topic. This paper proposes a method for personnel locating based on the ZigBee technology in one-dimension case by analyzing the advantages and disadvantages of the existing technologies, then optimizes it by using the filters and navigation algorithm. The algorithm can improve the location precision and realistic of moving trace, thus ensuring to meet the actual requirement. It demonstrates the algorithm and verifies its feasibility by an actual case.