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Smart Structures and Systems Volume 17, Number 4, April 2016 , pages 669-690 DOI: https://doi.org/10.12989/sss.2016.17.4.669 |
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A NoSQL data management infrastructure for bridge monitoring |
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Seongwoon Jeong, Yilan Zhang, Sean O\' Connor, Jerome P. Lynch, Hoon Sohn and Kincho H. Law
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| Abstract | ||
| Advances in sensor technologies have led to the instrumentation of sensor networks for bridge monitoring and management. For a dense sensor network, enormous amount of sensor data are collected. The data need to be managed, processed, and interpreted. Data management issues are of prime importance for a bridge management system. This paper describes a data management infrastructure for bridge monitoring applications. Specifically, NoSQL database systems such as MongoDB and Apache Cassandra are employed to handle time-series data as well the unstructured bridge information model data. Standard XML-based modeling languages such as OpenBrIM and SensorML are adopted to manage semantically meaningful data and to support interoperability. Data interoperability and integration among different components of a bridge monitoring system that includes on-site computers, a central server, local computing platforms, and mobile devices are illustrated. The data management framework is demonstrated using the data collected from the wireless sensor network installed on the Telegraph Road Bridge, Monroe, MI. | ||
| Key Words | ||
| cyber infrastructure; bridge monitoring; bridge information modeling; NoSQL database | ||
| Address | ||
| Seongwoon Jeong and Kincho H. Law: Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, CA 94305-4020, USA Yilan Zhang, Sean O\'Connor and Jerome P. Lynch: Department of Civil and Environmental Engineering, University of Michigan, 2350 Hayward St., Ann Arbor, MI 48109-2125, USA Hoon Sohn: Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea | ||