激光异物清除器装置研究
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南京理工大学,,

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国家自然科学基金(61673219);江苏省高校优秀中青年教师和校长境外研修项目;江苏省前瞻性联合研究项目(BY2016004-07);江苏省“六大人才高峰”项目(XNYQC-CXTD-001);天津市科技重大专项与工程项目(15ZXZNGX00250)


Research on laser foreign body remover device
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Nanjing University Of Science And Technology,,

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    摘要:

    目前清除架空输电线路上异物的方法主要是依靠人工方式或者借助无人机等遥控操作装置,这些操作耗时耗力且带电作业有一定的危险性,不能适应复杂的输电线路环境。随着激光技术的应用越来越广泛,利用激光清除电线异物已经成为现实。为了更好地实现切割效果,提高切割效率,文章结合数字图像处理技术,提出了一种基于转台伺服控制的激光除异物系统。通过架设在双自由度转台上相对固定的摄像头和激光发射装置达到识别跟踪并切除异物的效果,以图像解析结果为反馈,控制转台的转动方向和角度,从而确定激光发射的位置。为了有效确定切割目标,利用图像处理技术中的特征识别法进行异物识别与跟踪,并通过Hough直线检测识别出线缆,确定切割方向。实验表明,在转台满足精度指标的情况下可以有效清除规定范围内的目标异物,切割速度较快,适用范围较广。

    Abstract:

    At present, the method of removing foreign matter on overhead power transmission lines mainly relies on artificial means or control devices such as unmanned aerial vehicles. These methods are time-consuming, labor-intensive and can not be adapted to complex environments. With the application of laser technology more widely, using laser to remove foreign objects on wire has become a reality. In order to realize the cutting effect better and improve the cutting efficiency, the article presents a laser foreign body removal system based on servo control, combined with the digital image processing technology. By setting up a relatively fixed camera and laser emitting device on the two-degree-of-freedom turntable, the purpose of recognizing, tracking and removing the foreign object is achieved. The result of image analysis is used as feedback to control the rotation direction and angle of the turntable so as to determine the position of laser emission. In order to effectively determine the target, the foreign object recognition and tracking are carried out by the feature recognition method in the image processing technology. The Hough line detection is used to identify the cable and determine the cutting direction. Experiments show that in the case of turntable meet the accuracy of the target, the device can effectively remove the target within the scope of the specified foreign objects and can be adapted to more complex environments.

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引用本文

周维维,樊卫华,姜姗.激光异物清除器装置研究计算机测量与控制[J].,2018,26(7):123-127.

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  • 收稿日期:2017-11-27
  • 最后修改日期:2018-01-15
  • 录用日期:2018-01-22
  • 在线发布日期: 2018-07-26
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