An information management system for structural behavior monitoring, named MIMS, was developed based on big data technology. The system performance was improved by using three layered browser/server architecture and multi-server coordination mechanism. To satisfy the requirements of big data processing, mongoDB database was employed in the data management platform, and the structure and format of the database were discussed. The developed system was applied to the structural behavior monitoring of Ningbo South Station, and the interfaces were illustrated. The application results of the system show that approximately 10 GB data can be remotely received every day, and the massive monitoring data can be processed efficiently.