METHOD AND SYSTEM FOR ASSET LOCALIZATION, PERFORMANCE ASSESSMENT, AND FAULT DETECTION

    公开(公告)号:WO2019002001A1

    公开(公告)日:2019-01-03

    申请号:PCT/EP2018/066097

    申请日:2018-06-18

    Abstract: A method (400) for analyzing output of lighting units (10) in a lighting system (100) includes the steps of: (i) simulating (430), based on data from a photometric database (310), the output of a lighting unit; (ii) receiving and storing (420), from a database (330) of historical information, historical observed data about the output of the lighting unit; (iii) receiving (450) observed data (36) about the output of the lighting unit; (iv) generating (440) a model of the lighting system based at least in part on the simulated output of the lighting unit and the historical observed data about the output of the lighting unit, wherein the model comprises localization information for the lighting unit; and (v) comparing (470) the received observed data about the output of the lighting unit to the generated model, wherein a fault is detected if the observed data varies from the generated model by a predetermined amount.

    STREET LIGHT UNIFORMITY MEASUREMENT USING DATA COLLECTED BY A CAMERA-EQUIPPED VEHICLE

    公开(公告)号:WO2018153791A1

    公开(公告)日:2018-08-30

    申请号:PCT/EP2018/053930

    申请日:2018-02-16

    CPC classification number: G06K9/00791

    Abstract: The described embodiments relate to systems, methods, and apparatuses for estimating luminance uniformity of streetlights (208, 302). Luminance uniformity is estimated using a vehicle (220, 312) that travels along a street (224, 310, 406) and collects RGB images (402, 404) of the street while the street lights are operating. The images can filtered according to usability for estimating luminance uniformity. Furthermore, when an image includes an obstruction that prevents the visibility of a surface of the street, the image can be segmented to identify and/or remove the obstruction. In order to complete the image of the surface of the street, another image can be re-arranged to create a composite information/image with portions of both the other image and the segmented image. Color data from the composite information/image can be mapped to tristimulus values for determining relative luminance from the color data, and ultimately be used generate a luminance uniformity estimate for the street lights.

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