An application of machine vision understanding in electric power remote monitoring

Abstract

The invention relates to an application of machine vision understanding in electric power remote monitoring, belonging to the field of data identification. The application includes performing significant region detection on the image; carrying out edge detection; searching for the smallest square contour to get the dial positioning result; using Gamma correction combined with homomorphic filter toenhance the de-noised image; using the Hough transform to find the straight line; applying the Hough transform to the pointer image after the saliency region is detected; searching the maximum Houghvalue i in the transform space by setting a threshold value, and then inversely transforming the Hough value to the color space of the original image to obtain the straight line equation of the pointer edge; transforming the coordinate of the straight line into the coordinate system with the coordinate of the center point of the dial as the origin; using the slope of the straight line where the pointer is located to convert the angle of inclination of the pointer, and calculating the corresponding reading of the meter according to the corresponding relationship between the angle and the meterreading. The application can be applied to remote data acquisition, automatic analysis and operation management of substation.

Description

technical field [0001] The invention belongs to the field of data identification, in particular to a remote monitoring and image identification for power system equipment or lines. Background technique [0002] Based on considerations of reducing operating costs and saving floor space, as unattended substations are increasingly used, various video surveillance systems are widely used. [0003] "Visual understanding" technology is an intelligent system that can independently observe and analyze the environment through the visual system (camera). It is an important direction for the development of artificial intelligence technology and machine vision technology. Inspection, remote centralized monitoring, video image big data analysis and mining have very broad application prospects. [0004] In the power industry, machine vision technology has already had some successful cases. Especially in the analysis of infrared images, some remarkable progress has been made. The temper...

AI Technical Summary

Problems solved by technology

Aiming at the problem that the current dial area segmentation algorithm can't segment the dial area well under the conditions of illumination changes, unbalanced illumination, and pointer shadows, etc., it introduces the salient segmentation technology to detect the dial area, studies the salient area segmentation algorithm, and uses the salient area segmentation The algorithm recognizes the dial area in the instrument image, improves the robustness of recognizing the dial area, and provides reliable primitives for subsequent visual understanding

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