A consistency index analysis and calculation method for multi-measurement data

multi-source data fusion is the background of the data processing in the future, for multi-source data analysis and processing, the current lack of quantifiable than consistency check method, need through the compare of multi-source data analysis, the correctness of the data to cany out the lean check, to the running state of field sampling equipment for evaluation of different dimensions.This paper proposes a consistency index analysis of multi-measurement data, which provides a new method for multi-source data comparison. The main idea is to obtain the total data consistency index through index and weighting based on the two-part analysis of the deviation index of comprehensive measurement data and the similarity index of comprehensive measurement data change trend. This method quantifies the consistency of multi-source data and provides a new evaluation method for the real-time running status of equipment through multi-source data verification, which improves the reliability of power grid operation.