A framework has been defined for storing and retrieving civil infrastructure monitoring data over a network. The framework consists of two primary components: metadata and network communications. The metadata component provides the descriptions and data definitions necessary for cataloging and searching monitoring data. The communications component provides Java classes for remotely accessing the data. Packages of Enterprise JavaBeans and data handling utility classes are written to use the underlying metadata information to build real-time monitoring applications. The utility of the framework was evaluated using wireless accelerometers on a shaking table earthquake simulation test of a reinforced concrete bridge column. The NEESgrid data and metadata repository services were used as a backend storage implementation. A web interface was created to demonstrate the utility of the data model and provides an example health monitoring application.
Emerging wireless sensor technology presents a tremendous opportunity for developing low-cost monitoring systems for civil infrastructure. A set of wireless MICA2 mote accelerometers were deployed on a reinforced concrete bridge column to collect data during a shaking table earthquake simulation test. The data from the test were ingested into a data and metadata system for testing the usability of the metadata description for data mining and visualization. The metadata system used the NEESgrid metadata services interface for backend storage. The results of the data acquisition and ingestion were used to determine the feasibility of using a comprehensive sensor, data storage, and data retrieval system for health monitoring.