Method and system for identification of aluminum reduction cell burner video dynamic characteristics

Abstract

The present invention discloses a method and system for identification of aluminum reduction cell burner video dynamic characteristics. The method and system are configured to extract burner fluctuation characteristics and provide guidance effect for determination of the size of the degree of superheat. The method comprises: decomposing the aluminum reduction cell burner video to be analyzed into a plurality of RGB images, and performing gray-scale processing of each image to obtain the gray image matrix of each image; calculating angular points of the gray image of each image according to the corner detection algorithm, employing an optical flow method to track the positions of angular points in each image through the position of the angular points of each image, and establishing an angular point position sequence; analyzing the red component value of any one image without graying, performing segmentation of a burner and a background, obtaining a burner background binary image, and dividing the angular points into two classes of burner angular points and background angular points; and solving the actual fluctuating values of the burner angular points according the angular point position sequence and the background angular point position sequence, and solving the amplitude and the frequency of the burner fluctuation according to the actual fluctuating values of the burner angular points.

Description

technical field [0001] The invention relates to the field of feature extraction, in particular to a method and system for identifying dynamic features of fire eye video in an aluminum electrolytic cell. Background technique [0002] The superheat of the electrolyte in an aluminum electrolytic cell refers to the difference between the electrolyte temperature and the primary crystal temperature. The degree of superheat directly affects the current efficiency of aluminum electrolysis, and at the same time affects the shape and stability of the furnace of the electrolytic cell, thereby affecting the life of the electrolytic cell. Therefore, effective detection of the degree of superheat plays an important guiding role in the production process of aluminum electrolysis. For a long time, due to the difficulty in measuring the degree of superheat in complex industrial environments, experienced workers basically judge the degree of superheat by observing the information of the fire...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a fire eye video dynamic feature recognition method for aluminum electrolytic cells to solve the existing technical problems of complicated superheat measurement process, long measurement period and inability to measure in real time

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