title: Embedded Sensor System for Early Pathology Detection in Building Construction
creator: Torres, Santiago J. Barro
creator: Cascon, Carlos J. Escudero
subject: Artificial Intelligence
description: Structure pathology detection is an important security task in building construction, which is performed by an operator by looking manually for damages on the materials. This activity could be dangerous if the structure is hidden or difficult to reach. On the other hand, embedded devices and wireless sensor networks (WSN) are becoming popular and cheap, enabling the design of an alternative pathology detection system to monitor structures based on these technologies. This article introduces a ZigBee WSN system, intending to be autonomous, easy to use and with low power consumption. Its functional parts are fully discussed with diagrams, as well as the protocol used to collect samples from sensor nodes. Finally, several tests focused on range and power consumption of our prototype are shown, analysing whether the results obtained were as expected or not.
publisher: International Journal of Computer Science Issues, IJCSI
date: 2009-08
type: Journal (Paginated)
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/6686/1/1-26-35.pdf
identifier:   Torres, Santiago J. Barro and Cascon, Carlos J. Escudero  (2009) Embedded Sensor System for Early Pathology Detection in Building Construction.  [Journal (Paginated)]     
relation: http://cogprints.org/6686/