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    Automated Identification technology of Trees Endangering to Distribution Facilities by using Mobile Mapping System

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    CIRED 2019 - 921.pdf (960.8Kb)
    Paper number
    921
    Conference name
    CIRED 2019
    Conference date
    3-6 June 2019
    Conference location
    Madrid, Spain
    Peer-reviewed
    Yes
    Metadata
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    Authors
    Mori, Daiki, CHUBU Electric Power Co.-Inc., Japan
    Watanabe, Yasuhisa, CHUBU Electric Power Co. Inc., Japan
    Ishihara, Itushi, CHUBU Electric Power Co. Inc., Japan
    Ohori, Masato, Hitachi Solutions Ltd., Japan
    Abstract
    In general, electric power companies trim trees on a regular basis to prevent the failure of power distribution equipment as a result of contact with trees. Currently, the process of trimming trees around power distribution equipment involves visual observation to determine trees that need to be trimmed and manually creating instruction documents for trimming. These methods have issues from the perspectives of quality and effort.On the other hand, practical use of 3D laser scanners has grown in recent years, and certain electric power companies in Europe and North America manage their tree trimming activity using a UAV (Unmanned Aerial Vehicle) that is equipped with 3D laser scanners. However, since power distribution equipment is set up roughly 10m above ground, if trees are covering the top of medium-voltage lines, it would be difficult to measure the separation from above. There are also issues with legal compliance for flight UAV, since the equipment tends to be constructed near residential homes and streets.Therefore, this study focused on MMS (Mobile Mapping Systems) that combine on-board 3D laser scanners with complete perimeter cameras and conducted actual measurements under various conditions. Additionally, we developed an automated system that uses 3D data to determine which trees need to be trimmed, measure their volume, and create a trimming instruction document and evaluated how suitable it is to be applied for work.
    Publisher
    AIM
    Date
    2019-06-03
    Published in
    • CIRED 2019 Conference
    Permanent link to this record
    https://cired-repository.org/handle/20.500.12455/196
    http://dx.doi.org/10.34890/388
    ISSN
    2032-9644
    ISBN
    978-2-9602415-0-1

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