Share Email Print
cover

Proceedings Paper

A cloud-based information repository for bridge monitoring applications
Author(s): Seongwoon Jeong; Yilan Zhang; Rui Hou; Jerome P. Lynch; Hoon Sohn; Kincho H. Law
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

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.

Paper Details

Date Published: 20 April 2016
PDF: 14 pages
Proc. SPIE 9803, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016, 980313 (20 April 2016); doi: 10.1117/12.2219064
Show Author Affiliations
Seongwoon Jeong, Stanford Univ. (United States)
Yilan Zhang, Univ. of Michigan (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. 9803:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016
Jerome P. Lynch, Editor(s)

© SPIE. Terms of Use
Back to Top