DocumentCode :
3589226
Title :
New advances for wireless remote condition monitoring in tunnel deformation and track tilt
Author :
Maddison, Simon ; Smith, Bryn
Author_Institution :
Senceive Ltd., London, UK
fYear :
2014
Firstpage :
1
Lastpage :
5
Abstract :
Wireless sensor network systems as supplied by Senceive are now totally accepted as a cost effective, precise and reliable tool for the condition monitoring of rail, geo-technical and structural assets. They are providing for remote monitoring of assets through the use of low cost, battery powered, high precision, self-configuring wireless sensor systems which can be readily installed with a minimum of effort. They also, of course, avoid the need for wiring or indeed, in the case of optical systems, the need for frequent cleaning and extensive set-up and configuration. Far reaching development over the past 2-3 years, part funded by the TSB (Technology Strategy Board) has led to a highly significant step change in functionality by Senceive in wireless RCM including: battery life extended to over 10 years and the provision of industrial levels of network robustness and data stability. Additionally, and as a direct reflection of this success over recent years, Senceive´s wireless systems alone have also been approved and extended into two new important and challenging asset classes: Rail Tunnels and Track Bed.
Keywords :
computerised monitoring; condition monitoring; geotechnical engineering; railways; structural engineering computing; tunnels; wireless sensor networks; Senceive; TSB; Technology Strategy Board; battery life; data stability; geotechnical assets; low cost battery powered high precision self-configuring wireless sensor systems; network robustness; rail assets; structural assets; track tilt; tunnel deformation; wireless RCM; wireless remote condition monitoring; wireless sensor network systems; Wireless Monitoring Rail Tunnel Track;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Railway Condition Monitoring (RCM 2014), 6th IET Conference on
Print_ISBN :
978-1-84919-913-1
Type :
conf
Filename :
7105015
Link To Document :
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