Research on Reading Recognition Method of Pointer Meters Based on Deep Learning Combined with Rotating Virtual Pointer

Abstract

There are still a large number of pointer meters in substations, which mainly rely on manual inspection to detect the readings of pointer meters. In order to solve the above problems, this paper proposes a pointer meter keypoints detection method based on deep learning combined with virtual pointer rotation to determine the meter readings. This method first uses the deep learning algorithm to train data set of pointer meters and obtain the keypoints information of pointer meters. According to the keypoints information, we can further determine the center of rotation and radius of the pointer meter, then the real position of the pointer meter can be determined. Finally, according to the meter range information, as well as the real pointer angle and the meter range angle, we can calculate the readings of the pointer meter. The experiment results show that the proposed method can quickly and accurately obtain the pointer position, and further identify the meter readings. The proposed method can reduce the uncertainty caused by manual inspection and have a great impact on intelligent development of substations.