摘要
针对电信运营商无法直接对空间封闭的地铁隧道进行栅格化操作的难点,创新性采用空间相关性测量方法,对地铁隧道进行相同时间间隔的连续分割并建立位置指纹库。然后,采用K最近邻算法把位置指纹库与实时上报的MR数据进行匹配,一旦连续多个地理栅格都未匹配到MR数据,则判定该区域室分系统存在故障。该定位方法实现简单,定位精度高。
In view of the difficulty of the grid operation of the metro tunnel which is closed to space directly by the telecom operators,the spatial correlation measurement is innovatively adopted to complete the continuous segmentation of the metro tunnel at the same time interval and establish the location fingerprint library. Then,the K nearest neighbor algorithm is used to match the position fingerprint library with the real-time MR data,and once the continuous multiple geographic grids are not matched to the MR data,the fault of indoor distribution system is determined. The positioning method is simple,and the positioning accuracy is high.
作者
滕祖伟
周杰华
肖波
Teng Zuwei;Zhou Jiehua;Xiao Bo(China Unicom Hubei Branch,Wuhan 430040,China)
出处
《邮电设计技术》
2019年第6期52-55,共4页
Designing Techniques of Posts and Telecommunications
关键词
K
最近邻算法
地铁
室分系统
故障定位
K nearest neighbor algorithm
Metro
Indoor distribution system
Fault locating
