Application of technical (computer) vision to determine transformer oil indicator readings

Abstract

Digital transformation stimulates the widespread use of end-toend technologies in business processes at enterprises.This article discusses the problem of determining the values of the oil indicator of a transformer from the resulting image using computer vision.During the study, the device of the MS-1 and MS-2 oil indicators was studied and the features that must be taken into account when recognizing the device in the image and determining its value were considered. Based on the processed material, a method for recognizing device elements in an image has been developed using the OpenCV library and the Python programming language. The developed method determines instrument readings at different angles of rotation and in different weather conditions, which confirms the effectiveness of the proposed method.