Research on Power Sensing Data Quality Assessment Method Based on Hierarchical Analysis Method

Abstract Various types of sensors deployed in power networks are susceptible to bad weather, intrinsic defects, and other effects produce missing, duplicate, abnormal data, which reduces the accuracy equipment condition evaluation results. Power sensing data is an important way for operation maintenance personnel understand status equipment, but there less research on quality assessment. This paper addresses this deficiency, designs rules based sorting out characteristics, constructs a quantitative model hierarchical analysis method. Based paper, assessment measured micro-meteorological sensor carried out, scores given quantitatively. The conclusions show that constructed can effectively achieve scoring, assist understanding equipment.