【摘要】：針對(duì)電力系統(tǒng)中的換流站用避雷器儀表的特點(diǎn),提出了一種基于圖像的站用避雷器動(dòng)作次數(shù)和泄露電流的識(shí)別方法。首先,采用基于透視變換的方法對(duì)采集到的避雷器泄漏電流儀表圖像進(jìn)行畸變矯正。其次,通過圖像預(yù)處理進(jìn)行圖像增強(qiáng)獲得相對(duì)比較清晰的表盤信息。再次,利用垂直投影法和基于運(yùn)動(dòng)項(xiàng)的改進(jìn)BP神經(jīng)網(wǎng)絡(luò)完成避雷器動(dòng)作次數(shù)數(shù)字式儀表的識(shí)別,采用減影法和改進(jìn)的Hough(霍夫)變換完成換流站用避雷器泄漏電流指針式儀表的識(shí)別。最后,采用現(xiàn)場(chǎng)拍攝的型號(hào)為3EX5 050的西門子避雷器儀表對(duì)本文所提算法進(jìn)行了驗(yàn)證。結(jié)果表明該算法能夠快速、自動(dòng)、準(zhǔn)確的識(shí)別出避雷器儀表讀數(shù)。該方法避免了人工讀取效率低和精度差的問題,而且只需要很少的改動(dòng)便可應(yīng)用于換流站中其他儀表的智能識(shí)別。
[Abstract]:According to the characteristics of surge arresters used in converter stations in power system, an image based identification method for the number of actions and leakage currents of surge arresters is proposed. Firstly, the image of lightning arrester leakage current meter is corrected by perspective transform. Secondly, image preprocessing is used for image enhancement to obtain relatively clear dial information. Thirdly, using vertical projection method and improved BP neural network based on motion term, the recognition of lightning arrester action number digital instrument is completed. Subtraction method and improved Hough (Hough) transform are used to identify the leakage current index instrument of surge arrester used in converter station. Finally, the proposed algorithm is verified by the Siemens arrester instrument of 3EX5 050. The results show that the algorithm can recognize the lightning arrester meter reading quickly, automatically and accurately. This method avoids the problems of low efficiency and poor precision of manual reading, and can be applied to intelligent identification of other instruments in converter station with little modification.
【作者單位】： 北京科技大學(xué)自動(dòng)化學(xué)院;北京國(guó)網(wǎng)富達(dá)科技發(fā)展有限責(zé)任公司;中國(guó)電力科學(xué)研究院;
【分類號(hào)】：TM862;TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 李小平,林學(xué)，

本文編號(hào)：2166699