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Title: A self-powered and geo-tagged method to enable continuous high-quality data recording
Category: Technical papers from the Journal of Pipeline Engineering
Downloadable: Yes 
Catalog No.: 2372s
Date of Publication: 2016-03-01
Price: $25.00 US
Authors: Dr Wolfgang Fink, Dr Janet Meiling Roveda, Maryam Abdul-Wahid, Jerri-Lynn Kincade, Ty’Dria W White, Moses M Wangusi, and Tembong F Fonji
Abstract: BASED ON ECONOMICAL, data quality, bandwidth, and centralized health monitoring considerations, a self- powering and geo-tagging approach is devised that would enable high-quality inspection data to be recorded continuously during long-distance pipeline inspections without having to modify or use existing pipeline infrastructures as a communication medium for data transfer. The proposed self- powering mechanism, based on the dynamo principle, not only supplies an intelligent pigs with power during pipeline inspections, but simultaneously allows geo-location of the intelligent tool with high accuracy and redundancy in environments devoid of GPS support, using odometry. The thus-obtained geo-tagged pipeline-inspection data can be viewed and analysed offline in a centralized health-monitoring facility for increased efficiency.
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