基于井下人员的异常轨迹分析方法研究

针对井下作业人员轨迹数据信息多维度和稀疏性等问题,提出了基于离群点的异常轨迹筛选ZFMTRAOD算法,首先通过对轨迹子段建立R-tree索引提升检索速度,然后利用离群检测思想对邻域半径内轨迹子段的数量和平均时间判断轨迹是否异常,最后利用井下作业人员的轨迹数据对算法的性能进行比较,发现基于离群点的井下人员轨迹分析算法不仅能判别出井下作业人员异常轨迹的类型,还提高了异常轨迹判别的准确率。

Research On Abnormal Trajectory Analysis Method Based on Downhole Personnel

For trajectory data underground work personnel information and multi-dimensional sparse sexual problems,such as ab?normal trajectory of outliers is proposed based on screening ZFMTRAOD algorithm,first of all,through the path son sets up R-tree index increases the retrieval speed,and then use the ideological within the neighborhood radius on outlier detection sub sec?tion number and the average time to determine whether a trajectory is unusual,the use of underground work personnel's trajectory data to compare the performance of the algorithm,mine personnel find outliers based on trajectory analysis algorithm can not only identify abnormal track the type of underground work personnel,also raised the exception path discriminant accuracy.