Advanced Condition Assessment and Pipe Failure Prediction ProjectAdvanced Condition Assessment and Pipe Failure Prediction Project
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High precision GPS aided in-pipe distance calibration for satellite image-based pipeline mapping

by Lei Shi, Jaime Valls Miro, Jeya Rajalingam, Roger Wood and Dammika Vitanage

Centre for Autonomous Systems, University of Technology, Sydney, NSW, Australia
Sydney Water, Sydney, NSW, Australia

Conference:

Ozwater 2016

Date of Conference:

10 – 12 May 2016

Conference Location :

Melbourne, Australia

 

Abstract

Asset management and pipe condition assessment (CA) activities in the water industry usually require locating buried pipes accurately to minimise inspection and maintenance costs. A typical challenge in practice is locating an anomaly detected by an in-pipe inspection tool from aboveground in order to dig up a pipe for replacement. Accumulated in-pipe errors over longer distances in particular can easily lead to selecting the wrong pipe section for further investigation or exhumation. In fact, some in-pipe CA providers suggest utility personnel dig up a number of sections of pipe around the suggested location so as to ensure finding the target section. In this paper we propose a mechanism to accurately correlate a 3D pipeline profile built from GPS surveying results of aboveground pipeline features with in-pipe chainage distances, so as to establish an accurate link between above-ground GPS coordinates and inpipe distance measurements. This approach naturally characterises and corrects for some of the most prominent in-pipe chainage measurement errors that can lead to uncertainties about the reported location of a buried pipeline from aboveground. The detailed pipeline information can then be projected onto satellite imagery as an accurate easy-to-understand reference for efficient decision making.

Click here to download paper

Information about Pipes

In August 2011 international water research organisations, Australian water utilities and three Australian universities came together through a collaborative research agreement, and committed overall funding of $16 million (including $4 million cash) over five years to undertake this research through the Advanced Condition Assessment and Pipe Failure Prediction Project.

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    November 24, 2016

  • Critical Pipes Project wins B/HERT award

    November 16, 2016

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