基于圖像識別的二次安全措施布置工具開發
廖卉蓮1,李帥兵1,彭華坤1,楊凱楠1,王笑倩1,盧曉光2
(1 國網河南省電力公司直流中心,河南 鄭州 450000;
2 河南許繼儀表有限公司,河南 許昌 461000)
摘 要:為提升特高壓換流站二次安全措施的標準化作業流程,提高工作效率,降低失誤率,開發了基于圖像識別的二次安全措施布置工具。設計了帶自鎖功能可測電流的便攜式試驗線,通過在接線過程中實時顯示電流和接觸壓力避免端子虛接,利用自鎖功能解決接線誤碰脫落;開發了基于圖像識別的復原校核裝置,實現端子連片及保護壓板復原自動校核。該工具在某換流站進行了應用試驗,結果表明,壓板首次復原失誤率為3.56%,軟件復原效驗檢出率可達100%,提升了特高壓換流站供電的可靠性。
關鍵詞: 圖像識別;二次安全措施;邊緣檢測;特高壓;自鎖功能;保護壓板
中圖分類號:TM63 ;TM77 文獻標識碼:B 文章編號: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
參考文獻
[1] 湯棟,戴益文,屠榮平.10 kV 配電線路帶電作業的安全防護探討[J]. 機電工程技術,2017(12) :118-120.
[2] 陳洋,張林.工業視覺檢測系統及應用[J]. 科技展望,2015,25(16) :119-121.
[3] 常東旭,吳寧,劉辛裔,等. 基于物理約束的風電場主動支撐策略研究[J] . 現代電力,2021,38(5) :554-560.
[4] 賈強. 基于圖像邊緣檢測的軌道傷損識別算法研究[D].蘭州:蘭州交通大學,2021.
[5] 張明祥,王澤根,白茹月,等. 一種由粗到精的光學與 SAR 遙感圖像配準算法[J] . 地球信息科學學報,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] 葉海,李彩云,任旭超,等. 變電站二次電纜瞬態電磁騷擾的特征統計方法與不確定度分析[J]. 電力系統保護與控制,2023,51(15) :166-174.
[8] 梁振鋒,馬龍,桂小智,等. 新能源場站并網聯絡線縱聯零序方向保護的整定研究[J]. 電力系統保護與控制,2023,51(13) :82-90.