Intelligent smoke gas image sensing method for release torch

Abstract

The invention discloses an intelligent smoke gas image sensing method for a release torch, and the method comprises the steps: collecting a release torch image, carrying out the existence detection of black smoke, extracting an image smoke gas area through a significance method, removing the image noise in a Gaussian filtering mode, improving the image quality through a super-resolution method. and calculating the blackness grade of the smoke gas to analyze the smoke gas quality. According to the invention, the target area concentrate around the smoke gas and the flame, so that the influence of other objects around the release torch is reduced, and the anti-interference capability is enhanced; image denoising is carried out by using a Gaussian filtering mode, so that the gray level of image noise points is reduced, and the number of noise in the image is reduced; the smoke image is mapped into the high-quality image by using a super-resolution method, so that the smoke quality in the image can be analyzed conveniently, and the accuracy of a judgment result is improved.

Description

technical field [0001] The present invention relates to the field of image processing methods, and more specifically, the present invention relates to an intelligent image perception method for flue gas oriented to venting torches. Background technique [0002] As the country pays more and more attention to environmental protection, the requirements for enterprises to meet environmental protection standards are becoming more and more stringent. The flue gas generated by the flare system of petrochemical plants, refineries and other enterprises is gradually being paid attention to. Most flue gas sensors are difficult to deploy on elevated flares, and are often vulnerable to high temperatures, resulting in high costs. Traditional detection methods will be affected by factors such as sensors and cannot meet the control requirements well. However, over the past few years, flue gas detection based vented flare combustion systems have become increasingly popular, and image sensin...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the above-mentioned problems of being susceptible to noise interference and high error rate of flue gas quality determination in the flue gas quality detection process, the main purpose of the present invention is to provide a flue gas intelligent image perception method for venting flares to solve the problem based on image processing. Technical flue gas monitoring is susceptible to interference under environmental factors such as noise, and improves the accuracy of the final determination of flue gas quality

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