Visual detection method for coal level of coal bunker

Abstract

The invention discloses a coal bunker coal level visual detection method which comprises the following steps: acquiring a first thermal imaging image of a first position in a coal bunker based on an infrared thermal imager; when thermal imaging shooting is carried out, imaging is carried out at a fixed focal length; estimating a virtual focus position corresponding to the first thermal imaging image based on the first thermal imaging image imaged at a fixed focal length and based on internal parameters of an infrared thermal imager; and estimating the coal level of the coal bunker based on the fixed focal length, the first position and the virtual focus position. According to the coal bunker coal level visual detection method provided by the invention, the coal level image in the coal bunker with insufficient ambient light can be obtained in an infrared shooting mode, and then the infrared imaging image is shot by the fixed-focus camera, so that the estimated value of the virtual focus of the actual image can be obtained based on a photogrammetry algorithm. And estimating the coal level information of the current coal bunker according to the preset relationship between the fixed focal length and the coal level of the coal bunker and the virtual focus position information.

Description

technical field [0001] The invention relates to a visual detection method, in particular to a visual detection method for coal level in a coal bunker. Background technique [0002] The detection of the coal level in the coal bunker is a very important link in the scheduling of coal-related production. For a long time, when detecting the coal level of the coal bunker, it is common to measure the coal level of the coal bunker based on the principle of reflection, through ultrasonic ranging, laser ranging and other methods. However, regardless of the above methods, many years of practice have proved that both methods have the problems of poor reliability of measurement results and low working stability. Therefore, at present, some manufacturers have developed a method for visual detection of coal level in coal bunkers by means of machine vision. Among them, relying on image processing technology to extract the edge of the source image, and extracting the geometric information...

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Problems solved by technology

However, regardless of the above methods, it can be confirmed in many years of practice that both methods have the problems of poor reliability of measurement results and low working stability.

Therefore, at present, some manufacturers have developed a method for visual detection of coal level in coal bunkers by means of machine vision. Among them, relying on image processing technology to extract the edge of the source image, and extracting the geometric information in the scene based on the geometric information in the lighting determined in advance, the coal level detection and recognition algorithm, but the inventor believes that the lighting conditions in the coal bunker are poor , although this method can be implemented in theory, it is difficult to guarantee the accuracy in the actual environment, and this method also has the disadvantage of being cumbersome

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