Abstract: According to the current situation of on-board equipment maintenance of signal system in urban rail transit, this article proposed a solution of big data analysis of on-board log based on the Greenplumto improve problems of low efficiency and tedious process in the analysis and application of massive on-board log. By building Greenplum's big data platform, using FTP transmission tool, Kafka + zookeeper middleware and MySQL script, it was implemented the collection and storage of massive on-board logs, statistics and analysis of train operation and maintenance decision data. Through the test of the key performance indexes of the platform, the rationality of the system scheme was verified.