Research on Storage and Retrieval Method of Mass Data for High-Speed Train

In order to ensure the safeties of high-speed train, a lot of sensors are installed in the train to real-time monitor its operation status. These sensors collect amounts of data which may be several GBs for one time operation of one train. Such big amount data need to be stored and managed with high efficiency. In this paper, a hybrid storage architecture by combine database and file system is proposed, in which the separation on the row and column is performed respectively when storing the raw monitored data. Further, an improved compression algorithm is used to compress double float data in the monitored data. The simulation result shows that the proposed method is effective and feasible.