Electric Power Tower Inclination Angle Detection Method Based on SIFT Feature Matching

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In video monitoring system of substation, in-process video inspection is used to detect abnormalities and provide corresponding solutions in a timely manner to avoid failures.As the common equipment,electric power tower’s inclination should be detected timely..It was hard to check the fault of tower inclination timely and accurately only by staff’s routine inspection,and it will spent much manpower and material resources by the manner of sensor. A manner of substation video inspection tower inclination angle detection based on SIFT feature matching and OTSU was presented in this paper. The tower inclination angle was calculated through the matched feature points. As is proved in the simulation test, this algorithm features simplicity and it can detect the maximum angle in all case of inclination .

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759-764

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November 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Yang Zhen, Nie Wen-hai, Wang Xian-yu. Application of Remote Video Monitor System in 500 kV Substation[J]. Electric Power Construction, 2006, 27(2): 37-39.

Google Scholar

[2] Gao Qiang, Wen Yao. Sag Calculation of Transmission Lines Based on Segmentation Image Analysis[J]. Electric Power Construction, 2010, (11): 38-42.

Google Scholar

[3] MaShuai-ying, An Ju-bai, etc. Segmentation of the Blue Insulator Images Based on Region Location[J]. Electric Power Construction, , 2010, (7): 14-17.

Google Scholar

[4] Luo Jing, Lu Jia-zheng, etc. Research on imbalancetension trend and tower-tiltm onitoring device of transmission lines[J]. HUNAN ELECIRIC POWER, 2011, 31(4): 1-3.

Google Scholar

[5] Ma Wei-qing. Study on Inclination Intelligent Monitoring System ofTransm ission LinePylon[J]. SHANXI ELECTRIC POWER, 2008(5): 27-28.

Google Scholar

[6] Du Zhong-dong, Wang Xiao-qi. intelligent composite tower angle monitoring device: CHINA, 201527270U[P]. 2010-07-14.

Google Scholar

[7] FAN Han-bai, XIE Han—hua. Design and Application of Real-Time Monitoring System For Tower Inclination[J]. Telecommunications for Electric Power System. 2011, 32(7): 57-60.

Google Scholar

[8] LI Hu-wei, LI Sheng-lai, LI Hui. Design and Research of Warning Devices for Inclination of Polesand Towers[J]. GUANGDONG ELECTRIC P0WER, 2011, 24(2): 56-59.

Google Scholar

[9] HUANG Chun-lin, ZHANG Li-ping. Application of fiber grating sensing technology in inclination monitoring of power transmission pole and tower[J]. Telecommunications for Electric Power System, 2009, 30(10): 28-31.

Google Scholar

[10] Yang Yong-hui, Liu Chang-ping, Huang Lei. Application of image and video analysis in monitor system of power equipment[J]. Journal of Computer Applications, 2010, 30(A01): 281-284.

Google Scholar

[11] LOWE D G.Distinctive image features from sclae.Invairant key Points[J]. Internationla Journla on Computer Vision, 2004, 60(2):91—110.

Google Scholar

[12] Yang Qiu-jiu, Xiao Xue-mei. Improved SIFT algorithm based on Canny feature points[J]. Computer Engineering and Design, 2011, 32(7): 2428-2431, 2458.

Google Scholar

[13] OTSU N. A Threshold Selection Method from Gray-level Histo- gram[J]. IEEE Trans. on Systems, Man and Cybernetic, 1979, 9(1): 62-66.

DOI: 10.1109/tsmc.1979.4310076

Google Scholar