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Proceedings Paper

An automatic acquisition algorithm for power distribution line based on vehicle-mounted system
Author(s): Xu Zhang; Wei Xu; Jianxiang Li; Haipeng Wang; Yong Sun
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Paper Abstract

In order to realize automatic inspection of power distribution line and improve the safety of distribution network, a novel vehicle inspection system was designed, which contains visible-light camera, infrared imager and partial discharge detector. To ensure the effective information acquisition of equipments we expected to inspect, visual servo is used here to implement data automatic collection. An improved Edge Drawing Lines(EDLines) algorithm which gives fast and accurate results was proved to detect power lines in images. Based on the position of wire line in image, a reasonable pitch angle of pan-tilt can be adjusted automatically to realize the tracking process. On condition that GPS information of vehicle and power poles is given, a method of image capturing for pole and tower using image-based servo system is proposed, which provides the clear and the integrated images. Faster-RCNN algorithm is adopted here for detection and location of electric power tower in images. The experimental results demonstrate that the approach is effective for automatic inspection data collection of power distribution line and has a good application value.

Paper Details

Date Published: 9 August 2018
PDF: 8 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108066Q (9 August 2018); doi: 10.1117/12.2502984
Show Author Affiliations
Xu Zhang, Shandong Luneng Intelligence Technology Co., Ltd (China)
Wei Xu, Shandong Luneng Intelligence Technology Co., Ltd (China)
Jianxiang Li, Shandong Luneng Intelligence Technology Co., Ltd (China)
Haipeng Wang, Shandong Luneng Intelligence Technology Co., Ltd (China)
Yong Sun, Shandong Electric Power Research Institute (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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