同塔双回特高压输电线路红外图像检测研究
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摘要
基于Laplace算子的红外图像检测方法在检测同塔双回特高压输电线路红外图像过程中,仅增强红外图像对比度,未去除图像噪声,导致红外图像检测结果存在大量杂质,红外图像检测精度低。提出新的同塔双回特高压输电线路红外图像检测方法,利用分段灰度线性变换方法对图像进行去噪以及图像增强,基于该结果采用SIFT图像配准算法拼接图像,帧间差分得到拼接图像重合部分,获取红外图像分割结果;基于特征提取结果选用Roberts算子检测同塔双回特高压输电线路红外图像的边缘。实验结果表明,所提方法检测红外图像精确度均值高达98. 2%,是一种有效的同塔双回特高压输电线路红外图像检测方法。
In the process of infrared image detection of double-circuit UHV transmission lines on the same tower,the Laplace operator-based infrared image detection method only enhances the contrast of infrared image and does not remove image noise,resulting in a large number of impurities in the infrared image detection results and low detection accuracy. A new infrared image detection method for doublecircuit UHV transmission lines on the same tower is proposed. The image is denoised and enhanced by using piecewise gray-scale linear transformation method. Based on this result,SIFT image registration algorithm is used to stitch the image. The overlapping part of the stitched image is obtained by inter-frame difference,and the segmentation result of the infrared image is obtained. Roberts operator is selected to detect the edge of the infrared image of double-circuit UHV transmission lines on the same tower. The experimental results show that the average accuracy of the proposed method is as high as 98. 2%. It is an effective infrared image detection method for double-circuit UHV transmission lines on the same tower.
In the process of infrared image detection of double-circuit UHV transmission lines on the same tower,the Laplace operator-based infrared image detection method only enhances the contrast of infrared image and does not remove image noise,resulting in a large number of impurities in the infrared image detection results and low detection accuracy. A new infrared image detection method for doublecircuit UHV transmission lines on the same tower is proposed. The image is denoised and enhanced by using piecewise gray-scale linear transformation method. Based on this result,SIFT image registration algorithm is used to stitch the image. The overlapping part of the stitched image is obtained by inter-frame difference,and the segmentation result of the infrared image is obtained. Roberts operator is selected to detect the edge of the infrared image of double-circuit UHV transmission lines on the same tower. The experimental results show that the average accuracy of the proposed method is as high as 98. 2%. It is an effective infrared image detection method for double-circuit UHV transmission lines on the same tower.
引文
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[15]李玉敦,王大鹏,赵斌超,等.特高压输电线路故障诊断与定位系统仿真研究[J].山东电力技术,2016,43(7):1-3.
[2]蒋卫东,蒋其武,俞晓辉,等.同塔双回特高压输电线路智能化接地线研制[J].电气时代,2017(12):95-97.
[3] Liu Z,Wen X,Wang Y,et al. Experiment on the Hillside Effects of Lightning Shielding of Ultrahigh Voltage Common Tower Double-Circuit Transmission Lines[J].IEEE Transactions on Plasma Science,2016,44(8):1442-1448.
[4]谢辉,刘静. 1000kV特高压同塔双回架空输电线路雷击跳闸故障及防雷分析[J].宿州学院学报,2017,32(7):111-113.
[5]何俊佳,杨瑞,贺恒鑫,等.取消人工接地体对特高压同塔双回线路反击闪络特性的影响[J].高电压技术,2016,42(11):3421-3428.
[6] Qiu Y,Li H,Guo L,et al. A fault location method for double-circuit HVDC transmission lines on the same tower based on mixed modulus[C]//Powertech,IEEE Eindhoven. IEEE,2015:129-137.
[7]罗超,方书博,查智明,等.特高压交流输电线路电磁场分布特性与纯声衰减规律研究[J].高压电器,2017(8):94-99.
[8]刘宗喜,蓝磊,王羽,等.地形对特高压同塔双回输电线路雷电屏蔽性能的影响[J].高电压技术,2016,42(9):2950-2955.
[9]张业茂,李睿,周兵,等.特高压交流同塔双回输电线路可听噪声长期测试数据分析[J].高电压技术,2017,43(7):2301-2308.
[10]杨金洪,孙东磊,杨娜,等.±800 k V直流同塔双回输电线路雾霾天气下电晕电场效应研究[J].山东电力技术,2017,44(2):1-6.
[11]孙秋芹,汪泯,刘洋,等.特高压输电线路潜供电流的暂态特性研究[J].电工技术学报,2016,31(3):97-103.
[12]宋福根,林韩,兰生.特高压输电线路交叉跨越区域工频电场分布计算[J].电气技术,2016,17(1):6-10.
[13]黄伟桂.特高压输电线路电气和电晕特性分析[J].科技展望,2016,25(12):126-130.
[14]吕国钊.特高压输电线路地脚螺栓式斜柱基础可行性分析[J].河北电力技术,2016,35(1):46-47.
[15]李玉敦,王大鹏,赵斌超,等.特高压输电线路故障诊断与定位系统仿真研究[J].山东电力技术,2016,43(7):1-3.