一种SF6压力指针式仪表的定位识别方法

赵丽娜; 赵丽娟; 宁子达; 臧雨铼; 徐志钮

赵丽娜,赵丽娟,宁子达,臧雨铼,徐志钮.一种SF6压力指针式仪表的定位识别方法[J].电测与仪表,2025,62(2):210-216.
ZHAO Lina,ZHAO Lijuan,NING Zida,ZANG Yulai,XU Zhiniu.A positioning recognition method for SF6 pressure pointer meter[J].Electrical Measurement & Instrumentation,2025,62(2):210-216.

一种SF6压力指针式仪表的定位识别方法

A positioning recognition method for SF6 pressure pointer meter

DOI：10.19753/j.issn1001-1390.2025.02.026

中文关键词: SF6压力指针式仪表表盘定位 BRISK FREAK LSD

英文关键词:SF6 pressure pointer meter, dial positioning, BRISK, FREAK, LSD

基金项目:国家自然科学基金资助项目（62171185）

作者中文名	作者英文名	单位
赵丽娜	ZHAO Lina	华北电力大学电气与电子工程学院
赵丽娟	ZHAO Lijuan	华北电力大学电气与电子工程学院
宁子达	NING Zida	华北电力大学电气与电子工程学院
臧雨铼	ZANG Yulai	华北电力大学电气与电子工程学院
徐志钮	XU Zhiniu	华北电力大学电气与电子工程学院

摘要点击次数: 356

中文摘要:

针对表盘复杂、内部含有机械组件且仪表指针较短的SF6压力指针式仪表，仍缺乏一种计算量小、适用于较差环境且兼具鲁棒性和准确性的仪表定位识别方法。为解决这一问题，基于二进制鲁棒不变尺度特征(binary robust invariant scalable keypoints, BRISK)、FREAK(fast retina keypoint)特征检测技术与快速直线检测(line segment detector, LSD)算法，文中提出了一种SF6压力指针式仪表的定位及指针读数识别方法。引入BRISK算法特征检测子与FREAK算法特征描述符，结合K最近邻算法(K-nearest neighbor, KNN)检测仪表表盘区域，并对表盘进行自动矫正；在运用图像滤波去噪、二值化、边缘检测等图像预处理方法的基础上，利用霍夫变换法确定仪表圆心，采用LSD直线检测算法结合简单约束完成指针线检测；最后利用角度法进行读数。通过大量SF6压力指针式仪表图像的定位识别结果表明，文中定位识别方法在光线强度较强、表盘倾斜程度较大、表盘图像模糊等恶劣条件下仍具有很好的适应性，对SF6压力指针式仪表的识别具有较高的准确性与实用性。

英文摘要:

For SF6 pressure pointer meter with complex dial, internal mechanical components and short pointer, there is still a lack of a method of meter location identification with low computational cost and robustness and accuracy, which is suitable for poor environment. To solve this problem, this paper proposes a positioning and recognition method of pointer meters based on binary robust invariant scalable keypoints (BRISK) and fast retina keypoint (FREAK) feature detection technology and line segment detector (LSD) for accurate reading. Firstly, the BRISK algorithm feature detector and FREAK algorithm feature descriptor are introduced to detect the dial area of the meter combined with K-nearest neighbor (KNN) matching algorithm, and the dial is automatically corrected. Then, on the basis of comprehensive application of image filtering de-noising, binarization, edge detection and other image pretreatment methods, Hough transform method is used to determine the center of the instrument, LSD algorithm combined with simple constraints to complete pointer line detection. Finally, the angle method is used for reading. The positioning results of a large number of SF6 pressure pointer meter images show that the positioning method in this paper still has good adaptability under harsh conditions such as strong light intensity, large dial tilt degree and blurred dial image, and has high accuracy and practicability for the recognition of SF6 pressure pointer meter.

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