• DocumentCode
    2278691
  • Title

    Advantages of Airborne Lidar Technology in Power Line Asset Management

  • Author

    Ussyshkin, R. Valerie ; Theriault, Livia ; Sitar, Michael ; Kou, Tyler

  • Author_Institution
    Optech Inc., Vaughan, ON, Canada
  • fYear
    2011
  • fDate
    10-12 Jan. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Airborne lidar technology is widely accepted among power utility companies as the most efficient tool for acquiring high-density and high-accuracy geo-referenced spatial data for various applications essential to power line asset management. This paper describes the typical workflow in lidar data collection. It also describes further application steps in the traditional engineering analysis required for power utilities management, including catenary modeling for thermal up-rating and vegetation encroachment analysis. It will be shown that lidar data can have exceptional precision and accuracy, enabling tight-tolerance engineering calculations for power line efficiency modeling. The paper will also briefly discuss change detection in transmission and distribution wires themselves, the underlying surface terrain and surrounding vegetation throughout the transmission corridor, and how lidar technology can help to address monitoring issues. Finally, the performance advantages of airborne laser terrain mapper (ALTM) systems are discussed in the context of applications related to power line asset management.
  • Keywords
    airborne radar; optical radar; power cables; terrain mapping; vegetation mapping; airborne laser terrain mapper; airborne lidar technology; catenary modeling; geo-referenced spatial data; lidar data collection; monitoring issues; power line asset management; power utilities management; power utility companies; surface terrain; surrounding vegetation; thermal up-rating; tight tolerance engineering; transmission corridor; vegetation encroachment analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multi-Platform/Multi-Sensor Remote Sensing and Mapping (M2RSM), 2011 International Workshop on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-9402-6
  • Type

    conf

  • DOI
    10.1109/M2RSM.2011.5697427
  • Filename
    5697427