【作者】 李欢欢； 刘建勋； 刘毅志；

【Author】 LI Huan-huan , LIU Jian-xun, LIU Yi-zhi Key Laboratory of Knowledge Processing and Networked Manufacturing, Hunan University of Science and Technology, Xiangtan Hunan, 411201, China

【机构】 湖南科技大学知识处理与网络化制造重点实验室；

【摘要】 全球定位系统和轨迹记录仪的广泛使用产生了大量可用于信息服务的轨迹数据。为了加强公司、企业和生活小区的物业安全,本文提出基于轨迹数据挖掘的保安绩效考核模型,旨在根据保安人员巡检的轨迹数据来建立客观的绩效考核模型。首先,采用数据消减、轨迹分割和数据过滤方法预处理数据;然后,通过多元统计分析方法挖掘信息,建立评价指标体系;最后,运用模糊综合评价方法进行考核评分。实验结果表明:该模型从轨迹数据中挖掘巡检时间、巡检方式和停留次数等信息,因此能够客观地考核保安人员的工作绩效。更多还原

【Abstract】 The widespread of track recorder and global positioning system has generated a large number of trajectories or tracks. By mining knowledge from the patrol tracks with the purpose of strengthening the property safety in companies, enterprises or residences, we present the security personnel performance evaluation model. Firstly, this paper preprocesses data through reduction, trajectory partitioning and pre-filtering, and then establishes evaluation index system through multivariate statistical analysis. Finally, assesses by rating using fuzzy comprehensive evaluation method. The results show that: information about inspection time, way of inspection and staying can be obtained, and so the model will be objective and impartial in security personnel performance evaluation.更多还原