基于聚类的物联网监测点相邻关系的判定与分析

Determination and analysis of neighbor relationship of monitoring points in Internet of Things based on clustering

物联网监测点相邻关系判定是实现物联网监测异常数据审核时需要解决的一个重要问题。为了克服传统的基于行政区域或地理位置直接指定相邻关系存在的不足,采用聚类分析方法,用轮廓系数作为确定簇数和选择算法的依据,实现了一种基于历史监测数据的物联网监测点逻辑相邻关系判定方法。使用实际监测数据对该方法进行了验证,实验结果表明,所得到的相邻关系符合监测数据的实际关系,能够为物联网监测数据有效性审核提供更加科学合理的处理依据。

It is very important to determine the neighbor relationship of the monitoring points in Internet of Things when abnormal monitoring data is audited.Traditionally the neighbor relationship is directly set according to administrative area or geographical location of monitoring points,whereas some shortcomings need to be overcome.We propose a method for determining the neighbor relationship of the monitoring points in Internet of Things based on historical monitoring data.It adopts the clustering analysis method,and chooses cluster number and clustering algorithm according to silhouette coefficients.Experiments on real monitoring data show that the neighbor relationship obtained through the proposed method is more in line with the true situation,and can provide a more scientific and reasonable basis for verifying the validity of the monitoring data of Internet of Things.