Title: A web-based structural health monitoring sensor network
Authors: Bo Chen; Wenjia Liu
Addresses: Department of Mechanical Engineering - Engineering Mechanics, Michigan Technological University, 1400 Townsend Drive, Houghton, Michigan 49931, USA; Department of Electrical and Computer Engineering, Michigan Technological University, 1400 Townsend Drive, Houghton, Michigan 49931, USA. ' Department of Electrical and Computer Engineering, Michigan Technological University, 1400 Townsend Drive, Houghton, Michigan 49931, USA
Abstract: This paper presents a web-based structural health monitoring (SHM) sensor network for sensor data visualisation, data processing and damage diagnosis. Most existing web-based monitoring systems employ a centralised web server. The severe limitation of communication bandwidth in wireless sensor networks, however, limits the application of the centralised web server approach, especially in SHM networks which have high sampling rate. To reduce the amount of sensor data to be transmitted, the presented web-based SHM sensor network provides web services at sensor node level for real-time sensor data visualisation, data processing and damage diagnosis. Web services are available both on sensor nodes and a data repository machine with a web server. The ability of directly accessing data on sensor nodes via internet allows users to monitor the performance of a structure in a timely manner. The presented web-based system has been tested using a scaled steel bridge structure. The test results show the feasibility of using this web-based system for the real-time sensor data visualisation and damage diagnosis.
Keywords: web-based monitoring; structural health monitoring; distributed damage diagnosis; online sensor data; data visualisation; sensor networks; web services; steel bridges; structural engineering.
DOI: 10.1504/IJCAT.2012.049082
International Journal of Computer Applications in Technology, 2012 Vol.44 No.3, pp.188 - 197
Published online: 12 Sep 2012 *
Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article