基于图像识别的二次安全措施布置工具开发
廖卉莲1，李帅兵1，彭华坤1，杨凯楠1，王笑倩1，卢晓光2
(1 国网河南省电力公司直流中心，河南 郑州 450000；
2 河南许继仪表有限公司，河南 许昌 461000)
摘 要：为提升特高压换流站二次安全措施的标准化作业流程，提高工作效率，降低失误率，开发了基于图像识别的二次安全措施布置工具。设计了带自锁功能可测电流的便携式试验线，通过在接线过程中实时显示电流和接触压力避免端子虚接，利用自锁功能解决接线误碰脱落；开发了基于图像识别的复原校核装置，实现端子连片及保护压板复原自动校核。该工具在某换流站进行了应用试验，结果表明，压板首次复原失误率为3.56%，软件复原效验检出率可达100%，提升了特高压换流站供电的可靠性。
关键词： 图像识别；二次安全措施；边缘检测；特高压；自锁功能；保护压板
中图分类号：TM63 ；TM77 文献标识码：B 文章编号：1007-3175(2024)06-0040-04
Development of Secondary Safety Measures
Layout Tool Based on Image Recognition
LIAO Hui-lian1, LI Shuai-bing1, PENG Hua-kun1, YANG Kai-nan1, WANG Xiao-qian1, LU Xiao-guang2
（1 State Grid Henan Electric Power Company DC Center, Zhengzhou 450000, China;
2 Henan Xuji Instrument Co., Ltd, Xuchang 461000, China）
Abstract: In order to improve the standardized operation process of the secondary safety measures of the UHV converter station, improve the work efficiency and reduce the error rate, a secondary safety measures arrangement tool based on image recognition was developed. A portable test line with self-locking function to measure current is designed, which avoids terminal virtual connection by displaying the current and contact pressure in real time during the wiring process, and solves wiring accidentally touching and falling off by using the self-locking function. Then, a restoration verification device based on image recognition has been developed to realize the automatic verification of the recovery of terminal pieces and protective pressure plates. The application test of the tool was carried out in a converter station, and the results showed that the error rate of the first recovery of the pressure plate was about 3.56%, and the detection rate of the software recovery effect could reach 100%, which improved the reliability of the power supply of the UHV converter station
Key words: image recognition; secondary safety measure; edge detection; ultra-high voltage; self-locking function; protective plate
参考文献
[1] 汤栋，戴益文，屠荣平.10 kV 配电线路带电作业的安全防护探讨[J]. 机电工程技术，2017(12) ：118-120.
[2] 陈洋，张林．工业视觉检测系统及应用[J]. 科技展望，2015，25(16) ：119-121.
[3] 常东旭，吴宁，刘辛裔，等. 基于物理约束的风电场主动支撑策略研究[J] . 现代电力，2021，38(5) ：554-560.
[4] 贾强. 基于图像边缘检测的轨道伤损识别算法研究[D].兰州：兰州交通大学，2021.
[5] 张明祥，王泽根，白茹月，等. 一种由粗到精的光学与 SAR 遥感图像配准算法[J] . 地球信息科学学报，2020，22(11) ：2238-2246.
[6] HU T, GUO B P, GUO X, et al.Contour feature based on image registration[J].Opto-Electronic Engineering， 2009，36(11) ：118-122．
[7] 叶海，李彩云，任旭超，等. 变电站二次电缆瞬态电磁骚扰的特征统计方法与不确定度分析[J]. 电力系统保护与控制，2023，51(15) ：166-174.
[8] 梁振锋，马龙，桂小智，等. 新能源场站并网联络线纵联零序方向保护的整定研究[J]. 电力系统保护与控制，2023，51(13) ：82-90.
