Systems and methods for uniquely identifying buried utilities in a multi-utility environment

    公开(公告)号:US10564309B2

    公开(公告)日:2020-02-18

    申请号:US15626399

    申请日:2017-06-19

    Applicant: SeeScan, Inc.

    Abstract: The present disclosure relates to systems and methods for uniquely identifying buried utilities in a multi-utility region. The system and methods may include sensing magnetic fields upon moving a magnetic field sensing locating device over a multi-utility region comprising a plurality of buried utilities. The sensed magnetic fields may be used to identify a plurality of location data points each indicative of location information pertaining to one or more buried utilities. Based on these location data points, a plurality of clusters may be generated where each cluster may include a set of location data points sharing common characteristics. The generated clusters may exhibit one or more patterns which may be identified and subsequently utilized for classifying the clusters to uniquely identify the buried utilities.

    SYSTEMS AND METHODS FOR UNIQUELY IDENTIFYING BURIED UTILITIES IN A MULTI-UTILITY ENVIRONMENT

    公开(公告)号:US20170363764A1

    公开(公告)日:2017-12-21

    申请号:US15626399

    申请日:2017-06-19

    Applicant: SeeScan, Inc.

    Abstract: The present disclosure relates to systems and methods for uniquely identifying buried utilities in a multi-utility region. The system and methods may include sensing magnetic fields upon moving a magnetic field sensing locating device over a multi-utility region comprising a plurality of buried utilities. The sensed magnetic fields may be used to identify a plurality of location data points each indicative of location information pertaining to one or more buried utilities. Based on these location data points, a plurality of clusters may be generated where each cluster may include a set of location data points sharing common characteristics. The generated clusters may exhibit one or more patterns which may be identified and subsequently utilized for classifying the clusters to uniquely identify the buried utilities.

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