This paper describes an information repository to support bridge monitoring applications on a cloud computing platform.
Bridge monitoring, with instrumentation of sensors in particular, collects significant amount of data. In addition to
sensor data, a wide variety of information such as bridge geometry, analysis model and sensor description need to be
stored. Data management plays an important role to facilitate data utilization and data sharing. While bridge information
modeling (BrIM) technologies and standards have been proposed and they provide a means to enable integration and
facilitate interoperability, current BrIM standards support mostly the information about bridge geometry. In this study,
we extend the BrIM schema to include analysis models and sensor information. Specifically, using the OpenBrIM
standards as the base, we draw on CSI Bridge, a commercial software widely used for bridge analysis and design, and
SensorML, a standard schema for sensor definition, to define the data entities necessary for bridge monitoring
applications. NoSQL database systems are employed for data repository. Cloud service infrastructure is deployed to
enhance scalability, flexibility and accessibility of the data management system. The data model and systems are tested
using the bridge model and the sensor data collected at the Telegraph Road Bridge, Monroe, Michigan.