Paper
16 August 2001 Web-controlled wireless network sensors for structural health monitoring
Kyle Mitchell, Nghia Dang, Pengxiang Liu, Vittal S. Rao, Hardy Joseph Pottinger
Author Affiliations +
Abstract
Wireless network sensors are being implemented for applications in transportation, manufacturing, security, and structural health monitoring. This paper describes an approach for data acquisition for damage detection in structures. The proposed Web-Controlled Wireless Network Sensors (WCWNS) is the integration of wireless network sensors and a web interface that allows easy remote access and operation from user-friendly HTML screens. The WCWNS is highly flexible in terms of functions and applications. Algorithms and tools for data analysis can be directly installed on and executed from the web server. This means WCWNS will have unlimited capabilities in performing data analysis. Data can be analyzed for damage detection either on site distributed amongst the intelligent sensors or off site either in the web server or at an end users location after downloading from the web server. This feature allows for a variety of health monitoring algorithms to be investigated by researchers of all backgrounds and abilities. In addition, both short-range and long-range communications devices handle data exchange and communications in WCWNS. The system can be setup to operate efficiently in any topological arrangement. Short-range communications devices facilitate fast and low-power local data transfer, while long-range communications devices support high quality long-distance data exchange. The proposed system is demonstrated on an experimental setup.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kyle Mitchell, Nghia Dang, Pengxiang Liu, Vittal S. Rao, and Hardy Joseph Pottinger "Web-controlled wireless network sensors for structural health monitoring", Proc. SPIE 4334, Smart Structures and Materials 2001: Smart Electronics and MEMS, (16 August 2001); https://doi.org/10.1117/12.436606
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CITATIONS
Cited by 16 scholarly publications.
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KEYWORDS
Sensors

Sensor networks

Data communications

Algorithm development

Data analysis

MATLAB

Structural health monitoring

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