光学技术, 2017, 43 (1): 66, 网络出版: 2017-02-23  

SF6断路器气体压力表智能遥视研究

Study of intelligent remote viewing for SF6 circuit breaker gas pressure gauge
作者单位
1 昆明理工大学 信息工程与自动化学院, 昆明 650500
2 中国能源建设集团 云南省电力设计院有限公司, 昆明 650051
摘要
以压力表盘图像为对象, 通过一种改进的Otsu阈值分割算法, 在离差平方和约束条件基础上区分整体阈值,确定适应度函数,以选取最佳阈值, 可避免因单一法排除边缘和噪声区域而遗漏部分目标和背景像素; Hough变换通过直线提取法确定指针与圆提取法定圆取圆心相结合, 依据表盘指针经圆心原理较准确定位指针位置, 保证了表盘指针识别和数值读取精确度。实验结果表明该智能遥视系统能够实时监测SF6断路器表盘气压值, 给出的改进Otsu阈值分割算法能较准确分割目标区域, 基于角度识别指针数值方法读取误差保持在3%范围内。
Abstract
The SF6 circuit breaker dial image is used as object studied. The improved Otsu threshold segmentation algorithm is used, which selects the best threshold value by redistributing the overall threshold and combining with the square sum of deviations regarded as the fitness function so that part of the target and background pixels can be not missed. Hough transform can accurately locate at the pointer position through the method of combining pointer identified and straight line extraction method with circle recognized by circle extraction method and the principle of the circle on dial pointer, which ensures precision of reading pressure value. The experimentresult shows that the intelligent remote viewing system can provide a real-time and accurate monitoring on pressure value of SF6 circuit breaker dial, and that the improved Otsu threshold segmentation algorithm given can accurately segment the target area, and that the method based on the angle recognition pointer valuecan keep reading error at the range of three percent.
参考文献

[1] 曾朱文,郑连清.无人值守变电站智能遥视系统的研究[D].重庆: 重庆大学,2005.

    ZENG Zhuwen, ZHENG Lianqing. The research of intelligent remote video monitoring system in unmanned substation[D]. Chonqing: Chongqing University, 2005.

[2] 王新彤,曹晓辉.电力遥视系统建设的现状与发展[J].华北电力技术,2009,(12): 51-54.

    WANG Xintong, CAO Xiaohui. Status and development of tele-video system in power system[J]. North China Electric Power, 2009,(12): 51-54.

[3] 李树青,等.“遥视”在变电站中的应用[D].上海: 上海交通大学,2007.

    LI Shuqing, et al. The application of 'remote vision' used in substations[D]. Shanghai: Shanghai Jiao Tong University,2007.

[4] 夏志宏,罗毅.基于遥视系统的电气设备分合状态自动识别研究[D].湖北: 华中科技大学,2005.

    XIA Zhihong, LUO Yi. Image recognition of electric device on/off state based on remote vision[D]. Hubei: Huazhong University of Science and Technology,2005.

[5] MCBADER S. An FPGA implementation of a flexible, parallel image processing architecture suitable for embedded vision systems[C]. Parallel and Distributed Processing Symposium, IEEE ,2003: 228a.

[6] Kazufumi Kaneda, Eihachiro Nakamae, Eiji Takahashi, et al. An unmanned watching system using video cameras[J]. IEEE Computer Applications in power,1990,V3(2): 20-24.

[7] 张佳成,等. 基于混合模型的CCD镜头畸变精校正算法[J].计算机工程,2010, 36(1)191-193.

    ZHANG Jiacheng, et al. High precision correction algorithm for CCD lens distortion based on combined model[J]. Computer Engineering, 2010, 36(1)191-193.

[8] 李斌,郭剑毅.一种带约束的最小离差平方和系统聚类法及应用[J].计算机应用,2005,25 (01): 45-48.

    LI Bin, GUO Jianyi. Method and application of restricted minimum variance hierarchical cluster[J]. Computer Applications, 2005,25 (01): 45-48.

[9] HEALTH A, SARKAR S, SANOCKIT T, et al. Comparison of edge detectors: A methodology and initial study[J]. Computer Vision and Image Understanding, 1998,69(1): 38-54.

[10] WOODFORD O J, et al. Demisting the Hough transform for 3D shape recognition and registration[J]. International Journal of Computer Vision,2014,106(3): 332-341.

[11] 王媛媛,等. 折反射全向图像与遥感图像配准的建筑物高度提取算法[J]. 计算机应用,2011,31(9): 2477-2480.

    WANG Yuanyuan, et al. Method for estimating building heights via registering catadioptric omnidirectional image and remote sensing image[J]. Journal of Computer Applications, 2011,31(9): 2477-2480.

[12] MATAS J, et al. Robust detection of lines using progressive probabilistic Hough transform[J]. Computer Vision. Image Understanding, 2000,78(1): 119-137.

[13] PALMER P L, et al. Using focus of attention with the Hough Transform for accurate line parameter estimation[J]. Pattern Recognition,1994,27(19): 1127-1133.

[14] SABLATNING R, et al. Auto-matic reading of analog display instruments[J]. Pattern Recognition, 1994,24(13): 794-797.

张长胜, 冯广, 刘子裕, 李川, 钱斌. SF6断路器气体压力表智能遥视研究[J]. 光学技术, 2017, 43(1): 66. ZHANG Changsheng, FENG Guang, LIU Ziyu, LI Chuan, QIAN Bin. Study of intelligent remote viewing for SF6 circuit breaker gas pressure gauge[J]. Optical Technique, 2017, 43(1): 66.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!