针对水电机组状态监测数据量逐步增大,数据质量差的问题,提出了一种基于改进K维树(K-Dimensional Tree,KD-Tree)与基于密度的空间聚类算法(Density-Based Spatial Clustering of Applications with Noise,DBSCAN)的水电机组状态监测数...针对水电机组状态监测数据量逐步增大,数据质量差的问题,提出了一种基于改进K维树(K-Dimensional Tree,KD-Tree)与基于密度的空间聚类算法(Density-Based Spatial Clustering of Applications with Noise,DBSCAN)的水电机组状态监测数据清洗方法,首先对输入数据建立KD-Tree,再使用DBSCAN在最近邻样本上扫描完成聚类,聚类结束以后会分离出噪声点,将噪声点去除即可完成对水电机组状态监测数据清洗。选取某水电站状态监测系统上导摆度数据1 088条,再以相同时间间隔插入随机数据100条,通过算例与常规DBScan、K-means、OCSVM算法对比聚类性能与时间性能,所提出的方法识别正确率最高,为97.78%,消耗时间最少,为0.007 732 s,数据清洗效果最优,并可以大幅减少计算时间。展开更多
[Objective] The aim was to study ecological sensitivity in Jinjie mining area. [Method] Taking Jinjie mining area as study object, based on RS and GIS technology, ecological sensitivity in Jinjie mining area was asses...[Objective] The aim was to study ecological sensitivity in Jinjie mining area. [Method] Taking Jinjie mining area as study object, based on RS and GIS technology, ecological sensitivity in Jinjie mining area was assessed comprehensively from the aspects of soil erosion, desertification and geological disaster by means of multivariate weighted stack method. [Result] Most of Jinjie mining area belonged to extremely high sensitive or high sensitive area which accounted for 73.35% of total area, with little moderate sensitive (19.50%), low sensitive (0.96%) and non-sensitive area (6.19%); the unreasonable development of mineral resources would damage its ecological environment severely. [Conclusion] The study could provide theoretical foundation for the protection of ecological environment in mining area.展开更多
文摘[Objective] The aim was to study ecological sensitivity in Jinjie mining area. [Method] Taking Jinjie mining area as study object, based on RS and GIS technology, ecological sensitivity in Jinjie mining area was assessed comprehensively from the aspects of soil erosion, desertification and geological disaster by means of multivariate weighted stack method. [Result] Most of Jinjie mining area belonged to extremely high sensitive or high sensitive area which accounted for 73.35% of total area, with little moderate sensitive (19.50%), low sensitive (0.96%) and non-sensitive area (6.19%); the unreasonable development of mineral resources would damage its ecological environment severely. [Conclusion] The study could provide theoretical foundation for the protection of ecological environment in mining area.