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Cooperative agreement # RITARS-14-H-HOU : final report.

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    The University of Houston, in partnership with the Gas Technology Institute, and with support from the ; Commercial Remote Sensing & Spatial Technologies Program at the U.S. Department of Transportation ; undertook a pilot project to mitigate pipeline damage due to excavation by developing a real-time ; excavator encroachment notification system. The system used Global Positioning System (GPS) ; technology, smart phone motion sensor devices, two-way messaging, and Internet Geographic ; Information System (GIS) services to monitor pipelines, in real-time, for encroachment from excavation ; activities. In cooperation with several pipeline industry commercial partners, the team, led by UH ; undertook a pilot study to assess the effectiveness of the prototype low-cost encroachment notification ; system to monitor encroachment in real-time, and actively pursued commercialization opportunities for ; the resultant hardware and software products. The primary market for GEENS is the utility market and a ; secondary market is utilities that operate and maintain electric, telecommunications, and water centric ; infrastructure. Commercialization and outreach activities included 13 demonstrations and presentations ; at industry events such as the American Gas Association Annual Operations Conference; exhibitions at ; industry conferences such as national and state trade association shows; direct outreach to utilities as ; well as excavator manufacturers and insurance agencies; and advertisements in trade journals and ; informational webinars to the targeted industries. Partnerships with excavation contractors and with ; consulting and service organizations in the industry were also developed. Based on the results from pilot ; testing and from benefit-cost analyses, it is concluded that GEENS represents a smarter and more ; efficient method for reducing pipeline damage incidents and that the benefits from GEENS far outweigh ; the cost of technology implementation.
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    urn:sha256:a5dfdc0973e4040a20d55739be9d102bef0fd80b273875fd4cc02234c632482c
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