Device integration into automation systems by means of an embedded web interface

Scheibelmasser, Anton; Menhart, Jürgen; Eichberger, Bernd

doi:10.1109/med.2008.4601982

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…Motivated by the advances of the embedded systems, a number of researchers have investigated to embed web services in embedded computers, controllers and devices (Topp et al, 2002;Ramakrishnan, 2004;Boa, 2011). Although several web-based embedded systems have been reported in the literature, including data acquisition and control (Spasov and Kakanakov, 2004;Klimchynski, 2006), greenhouse monitoring (Stipanicev and Marasovic, 2003), household appliance networks (Filibeli et al, 2007;Yang et al, 2008), industrial automation (Scheibelmasser et al, 2008;Xiang et al, 2008), mobile robotic systems (Salleh and Mamat, 2008) and smart power grids (Ding et al, 2007), the web functionality and the computational capability of these systems are limited.…”

Section: Introductionmentioning

confidence: 99%

A web-based structural health monitoring sensor network

Chen

Liu

2012

IJCAT

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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 webbased 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.

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