煤矿安全2019，Vol.50Issue(2)：102-104,108,4.DOI:10.13347/j.cnki.mkaq.2019.02.023
基于关键区域的井下人员轨迹挖掘方法
Underground Personnel Trajectory Mining Method Based on Key Areas
赵端 1顾优雅 2张雨 3冯凯1
作者信息
- 1. 中国矿业大学 物联网(感知矿山)研究中心,江苏 徐州 221008
- 2. 中国矿业大学 信息与控制工程学院,江苏 徐州 221008
- 3. 矿山互联网应用技术国家地方联合工程实验室,江苏 徐州 221008
- 折叠
摘要
Abstract
A trajectory mining framework for underground personnel based on key areas is proposed. The framework consists of key location discovery algorithm and moving object trajectory mining algorithm. Firstly, the key location discovery algorithm is used to transform the positioning data under the mine into a key position sequence with specific semantics. Then the moving object trajectory mining algorithm is used to cluster the key position sequences into key regions, so as to find the daily trajectory of the moving objects in the underground, and then use the trajectory. Structural similarity screens out anomalous trajectories. Experiments using miners’ positioning datasets show that the trajectory mining framework based on key areas solves the problem of multi-density area identification, which can accurately identify the daily trajectory and abnormal trajectory of miners.关键词
人员定位系统/关键区域/轨迹挖掘/多密度/聚类算法Key words
personnel positioning system/key region/trajectory mining/multi-density/clustering algorithm分类
矿业与冶金引用本文复制引用
赵端,顾优雅,张雨,冯凯..基于关键区域的井下人员轨迹挖掘方法[J].煤矿安全,2019,50(2):102-104,108,4.
