物联网技术在井下人员定位中的应用  

Application of Internet of Things Technology in Positioning of Underground Coal Mine Personnel

作　　者：倪云峰[1] 石小红 陈松林 李昌聪 NI Yunfeng;SHI Xiaohong;CHEN Songlin;LI Changcong(School of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, China)

机构地区：[1]西安科技大学通信与信息工程学院,陕西西安710054

出　　处：《测试技术学报》2020年第2期127-132,共6页Journal of Test and Measurement Technology

摘　　要：为研究物联网技术在煤矿井下人员定位中的应用,首先根据物联网的3层结构设计出一种煤矿物联网结构.这种煤矿物联网结构是通过感知层接入的各种无线传感器网络,用来采集煤矿井下的各种环境参数,利用无线传感网上传到调度层,经过调度层的分析处理传到应用层,形成一个统一的调度管理系统.针对传统的测距定位算法中存在的定位误差相对较大这一现象,本文提出了一种时间与距离关系的定位算法,该算法的主要优点是不需测得信号强度值,故避免了信号在传输过程中衰减而造成的误差.最后通过与uw1000模块的结合实验验证了该算法.较传统的测距定位算法减小了误差,提高了精度.但用到的uw1000相比于其他测距的硬件价格要高一点,但是对定位效果有很大的提升,且应用价值比较好.In order to study the application of the Internet of Things(IoT)technology in the positioning of underground coal mine personnel,a coal mine IoT structure was first designed according to the three-layer structure of the IoT.The coal mine IoT structure is a variety of wireless sensor networks accessed through the sensing layer.It is used to collect various environmental parameters of the coal mine underground and transmit it to the dispatching layer through the wireless sensor network.The collected environmental parameters are transmitted to the application layer after analysis and processing by the dispatch layer,which finally forms a unified dispatch management system.This paper proposes a positioning algorithm based on the relationship between time and distance to reduce the relatively large positioning error in the traditional ranging positioning algorithm.The main advantage of this algorithm is that it does not need to measure the signal strength value,so it avoids the error caused by the attenuation of the signal during transmission.Finally,the algorithm is verified by the combination experiment with uw1000 module.Compared with the traditional ranging positioning algorithm,the error is reduced and the accuracy is improved.However,the used uw1000 has a higher price than other ranging hardware,but the positioning effect is greatly improved and the application value is better.

关 键 词：物联网技术 环境参数检测 井下人员定位 无线传感网络 算法改进 

分 类 号：TN929.5[电子电信—通信与信息系统]