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Proceedings Paper

A distributed cloud-based cyberinfrastructure framework for integrated bridge monitoring
Author(s): Seongwoon Jeong; Rui Hou; Jerome P. Lynch; Hoon Sohn; Kincho H. Law
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Paper Abstract

This paper describes a cloud-based cyberinfrastructure framework for the management of the diverse data involved in bridge monitoring. Bridge monitoring involves various hardware systems, software tools and laborious activities that include, for examples, a structural health monitoring (SHM), sensor network, engineering analysis programs and visual inspection. Very often, these monitoring systems, tools and activities are not coordinated, and the collected information are not shared. A well-designed integrated data management framework can support the effective use of the data and, thereby, enhance bridge management and maintenance operations. The cloud-based cyberinfrastructure framework presented herein is designed to manage not only sensor measurement data acquired from the SHM system, but also other relevant information, such as bridge engineering model and traffic videos, in an integrated manner. For the scalability and flexibility, cloud computing services and distributed database systems are employed. The information stored can be accessed through standard web interfaces. For demonstration, the cyberinfrastructure system is implemented for the monitoring of the bridges located along the I-275 Corridor in the state of Michigan.

Paper Details

Date Published: 12 April 2017
PDF: 9 pages
Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 101682W (12 April 2017); doi: 10.1117/12.2270716
Show Author Affiliations
Seongwoon Jeong, Stanford Univ. (United States)
Rui Hou, Univ. of Michigan (United States)
Jerome P. Lynch, Univ. of Michigan (United States)
Hoon Sohn, KAIST (Korea, Republic of)
Kincho H. Law, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 10168:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017
Jerome P. Lynch, Editor(s)

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