Conception of QAR Data Application Mode Based on Virtual Integration
Jingru Han, Yang Jiao · 2018 IEEE International Conference of Safety Produce Informatization (IICSPI) · 2018
China Civil Aviation Flight Quality Monitoring Base Station collects a large number of Quick Access Record (QAR) data. Although QAR data has high application value, it is not rich in dimensions only based on QAR data, and QAR data contains sensitive information, so it can not make fusion with other data through the way of traditional copy. To solve this problem, this paper proposes to construct the fusion between QAR data and other data by Virtual Integration technology, through the process of metadata warehouse construction and metadata association, so as to make this as the underlying data source without physically relocating of data. The comprehensive analysis of multi-source data and depth mining of QAR and other flight data will be accomplished. Correlation match analysis shows that the matching results are correct by combining the base station data with the unsafe events without copying QAR data.