基于消费级数码相机的电力设备外观监测
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摘要
为降低运维成本和提高运维效率,电力系统内建立了多种可视化监测系统。限于消费级数码相机镜头的工作原理,获取的图像容易产生图像畸形和像差。文章提出一种自动化监测电力设备外观的方法,针对单反/无反制式成像系统成本过高和实际应用困难等问题,基于相位相关的消费级数码图像校正方法获取设备实际状况的图像信息。实验结果表明,提出的方法可以有效节省监测系统搭建成本,并且能够取得很高的校正精度。
In order to reduce the operation and maintenance cost and improve the efficiency of operation and maintenance, a variety of visual monitoring systems have been established in the power system. Limited to the working principle of the consumptive digital camera lens, the acquired image is prone to image deformity and aberration. A method was proposed to realize automatic appearance monitoring of electric power equipment in this paper. In order to solve some problems of the high cost and highly complex application of single lens reflex camera and mirrorless camera, a consumptive digital image correction method is proposed based on phase-only correlation(POC) to obtain the actual condition of the equipment. Through the analysis of the experimental results, the proposed method is able to reduce the system construction cost, and can effectively achieve higher calibration accuracy.
In order to reduce the operation and maintenance cost and improve the efficiency of operation and maintenance, a variety of visual monitoring systems have been established in the power system. Limited to the working principle of the consumptive digital camera lens, the acquired image is prone to image deformity and aberration. A method was proposed to realize automatic appearance monitoring of electric power equipment in this paper. In order to solve some problems of the high cost and highly complex application of single lens reflex camera and mirrorless camera, a consumptive digital image correction method is proposed based on phase-only correlation(POC) to obtain the actual condition of the equipment. Through the analysis of the experimental results, the proposed method is able to reduce the system construction cost, and can effectively achieve higher calibration accuracy.
引文
[1]张振华.高压电力线路在线视频监控系统工程应用及实践[J].电力系统保护与控制,2013,41(16):149-153.ZHANG Zhen-hua.Research and application of online video surveillance system for high-voltage power lines[J].Power System Protection and Control,2013,41(16):149-153.
[2]吴炜,李勃,钱瑛,等.基于人眼视觉特性的变电站图像清晰化方法[J].电力信息与通信技术,2017,15(1):1-7.WU Wei,LI Bo,QIAN Ying,et al.An image haze removal method based on human visual characteristics in substation[J].Electric Power Information and Communication Technology,2017,15(1):1-7.
[3]李志海,张荣华,张天兵,等.基于视频监控的变电站智能巡检系统研究[J].计算机技术与软件,2014,24(10):233-237.LI Zhi-hai,ZHANG Rong-hua,ZHANG Tian-bing,et al.Research on intelligence substation routine inspection system based on video surveillance[J].Computer Technology and Development,2014,24(10):233-237.
[4]宋伟,李东坚,谢伟,等.基于现场图像处理的输电线覆冰测量系统[J].光子学报,2017,46(S1):3-7.SONG Wei,LI Dong-jian,XIE Wei,et al.Measurement system for transmission lines icing based on image processing on site[J].Acta Photonica Sinica,2017,46(S1):3-7.
[5]裴玉龙,仝卫国,李宝树.航拍绝缘子图像的去模糊处理[J].电瓷避雷器,2010(5):12-16.PEI Yu-long,TONG Wei-guo,LI Bao-shu.Deblurring processing of aerial image on insulator[J].Insulators and Surge Arresters,2010(5):12-16.
[6]郝艳捧,蒋晓蓝,阳林,等.基于图像分割评估运行绝缘子自然覆冰程度[J].高电压技术,2017,43(1):285-292.HAO Yan-peng,JIANG Xiao-lan,YANG Lin,et al.Evaluation of natural icing condition for in-service insulators based on image segmentation[J].High Voltage Engineering,2017,43(1):285-292.
[7]黄新波,李菊清,张烨,等.复杂环境下覆冰绝缘子识别检测技术[J].高电压技术,2017,43(3):891-899.HUANG Xin-bo,LI Ju-qing,ZHANG Ye,et al.Recognition and detection technology of ice-covered insulators under complex environment[J].High Voltage Engineering,2017,43(3):891-899.
[8]梁玉敏,蔡晓东,张学敏.基于图像校正与相位相关的视频拼接算法电视技术[J].电视技术,2013,37(17):151-154.LIANG Yu-min,CAI Xiao-dong,ZHANG Xue-min.Video mosaic algorithm based on image rectification and phase correlation[J].Video Engineering,2013,37(17):151-154.
[9]王雷,郭健,陈英革,等.图像桶形失真的一种校正方法[J].常熟理工学院学报,2007,21(4):104-107.WANG Lei,GUO Jian,CHEN Ying-ge,et al.A correction method on barrel distortion image[J].Journal of Changshu Institute of Technology,2007,21(4):104-107.
[10]何平,殷睿.基于弧面映射的图像桶形几何失真的校正方法[J].上海电气技术,2009,2(2):25-27.HE Ping,YIN Rui.An adjustment method of image barrel geometry distortion based on arc surface mapping[J].Journal of Shanghai Electric Technology,2009,2(2):25-27.
[11]BROWN D C.Decentering distortion of lenses[J].Photogrammetric Engineering,1966,32(3):444-462.
[12]林慧英,苏建,刘玉梅,等.基于图像畸变矫正的摄像机标定方法[J].吉林大学学报(工学版),2007,37(2):433-437.LIN Hui-ying,SU Jian,LIU Yu-mei,et al.Camera calibration technique based on rectification of image aberration[J].Journal of Jilin University(Engineering and Technology Edition),2007,37(2):433-437.
[13]ZHAO J,ZHAO D,ZHANG Z.Calibration and correction of lens distortion for two-dimensional digital speckle correlation measurement[J].Optik-International Journal for Light and Electron Optics,2013,124(23):6042-6047.
[14]SUN Q,HOU Y,CHEN J.Lens distortion correction for improving measurement accuracy of digital image correlation[J].Optik-International Journal for Light and Electron Optics,2015,126(21):3153-3157.
[15]LI K,BU J,ZHANG D.Lens distortion elimination for improving measurement accuracy of fringe projection profilometry[J].Optics&Lasers in Engineering,2016(85):53-64.
[16]TERASAWA N,KITAZAWA S,WATANABE H,et al.Lens distortion estimation and compensation for sheet-metal inspection system[C]//Proc.of Intl.Workshop on Advanced Image Technology(IWAIT),2013:648-653.
[2]吴炜,李勃,钱瑛,等.基于人眼视觉特性的变电站图像清晰化方法[J].电力信息与通信技术,2017,15(1):1-7.WU Wei,LI Bo,QIAN Ying,et al.An image haze removal method based on human visual characteristics in substation[J].Electric Power Information and Communication Technology,2017,15(1):1-7.
[3]李志海,张荣华,张天兵,等.基于视频监控的变电站智能巡检系统研究[J].计算机技术与软件,2014,24(10):233-237.LI Zhi-hai,ZHANG Rong-hua,ZHANG Tian-bing,et al.Research on intelligence substation routine inspection system based on video surveillance[J].Computer Technology and Development,2014,24(10):233-237.
[4]宋伟,李东坚,谢伟,等.基于现场图像处理的输电线覆冰测量系统[J].光子学报,2017,46(S1):3-7.SONG Wei,LI Dong-jian,XIE Wei,et al.Measurement system for transmission lines icing based on image processing on site[J].Acta Photonica Sinica,2017,46(S1):3-7.
[5]裴玉龙,仝卫国,李宝树.航拍绝缘子图像的去模糊处理[J].电瓷避雷器,2010(5):12-16.PEI Yu-long,TONG Wei-guo,LI Bao-shu.Deblurring processing of aerial image on insulator[J].Insulators and Surge Arresters,2010(5):12-16.
[6]郝艳捧,蒋晓蓝,阳林,等.基于图像分割评估运行绝缘子自然覆冰程度[J].高电压技术,2017,43(1):285-292.HAO Yan-peng,JIANG Xiao-lan,YANG Lin,et al.Evaluation of natural icing condition for in-service insulators based on image segmentation[J].High Voltage Engineering,2017,43(1):285-292.
[7]黄新波,李菊清,张烨,等.复杂环境下覆冰绝缘子识别检测技术[J].高电压技术,2017,43(3):891-899.HUANG Xin-bo,LI Ju-qing,ZHANG Ye,et al.Recognition and detection technology of ice-covered insulators under complex environment[J].High Voltage Engineering,2017,43(3):891-899.
[8]梁玉敏,蔡晓东,张学敏.基于图像校正与相位相关的视频拼接算法电视技术[J].电视技术,2013,37(17):151-154.LIANG Yu-min,CAI Xiao-dong,ZHANG Xue-min.Video mosaic algorithm based on image rectification and phase correlation[J].Video Engineering,2013,37(17):151-154.
[9]王雷,郭健,陈英革,等.图像桶形失真的一种校正方法[J].常熟理工学院学报,2007,21(4):104-107.WANG Lei,GUO Jian,CHEN Ying-ge,et al.A correction method on barrel distortion image[J].Journal of Changshu Institute of Technology,2007,21(4):104-107.
[10]何平,殷睿.基于弧面映射的图像桶形几何失真的校正方法[J].上海电气技术,2009,2(2):25-27.HE Ping,YIN Rui.An adjustment method of image barrel geometry distortion based on arc surface mapping[J].Journal of Shanghai Electric Technology,2009,2(2):25-27.
[11]BROWN D C.Decentering distortion of lenses[J].Photogrammetric Engineering,1966,32(3):444-462.
[12]林慧英,苏建,刘玉梅,等.基于图像畸变矫正的摄像机标定方法[J].吉林大学学报(工学版),2007,37(2):433-437.LIN Hui-ying,SU Jian,LIU Yu-mei,et al.Camera calibration technique based on rectification of image aberration[J].Journal of Jilin University(Engineering and Technology Edition),2007,37(2):433-437.
[13]ZHAO J,ZHAO D,ZHANG Z.Calibration and correction of lens distortion for two-dimensional digital speckle correlation measurement[J].Optik-International Journal for Light and Electron Optics,2013,124(23):6042-6047.
[14]SUN Q,HOU Y,CHEN J.Lens distortion correction for improving measurement accuracy of digital image correlation[J].Optik-International Journal for Light and Electron Optics,2015,126(21):3153-3157.
[15]LI K,BU J,ZHANG D.Lens distortion elimination for improving measurement accuracy of fringe projection profilometry[J].Optics&Lasers in Engineering,2016(85):53-64.
[16]TERASAWA N,KITAZAWA S,WATANABE H,et al.Lens distortion estimation and compensation for sheet-metal inspection system[C]//Proc.of Intl.Workshop on Advanced Image Technology(IWAIT),2013:648-653.