Study on the Change Law of Red-Green-Blue Values of Infrared Thermal Image in the Process of Anthracite Oxidation and Spontaneous Combustion

Abstract

As the coal with the highest degree of coalification, anthracite is usually regarded as a mixture composed of organic and inorganic substances, with the characteristics of polymers and composites. It is very important to study the oxidation and spontaneous combustion characteristics of anthracite for the thermal properties of coal-based polymers and composites. Anthracite exhibits varying oxidation and spontaneous combustion characteristics at various stages of the oxidation and spontaneous combustion process, which cannot be fully demonstrated by the coal temperature alone. As a result, this paper develops an online method for characterizing the RGB values of infrared thermal images. The variation of the RGB value of an infrared thermal image during the oxidation and spontaneous combustion of anthracite was investigated. The findings show that there is a clear relationship between R (red), G (green), B (blue), RGB (red/green/blue) values, and coal temperature during the oxidation and spontaneous combustion of anthracite. The R and the G value curves each have one characteristic peak and two characteristic valleys in the experiment. However, the overall change range of the G value curve is relatively small; the B value curve has two characteristic peaks and one characteristic valley. There are no characteristic peaks and valleys in the RGB value curve, despite the influence of experimental instruments and the experimental environment.

Target Area Extraction Algorithm of Infrared Thermal Image Combining Target Detection with Matching Correction

“…However, the commonly used industrial camera lost a lot of useful information when collecting images in extreme environmental conditions, such as darkness and haze. Infrared thermal image obtained using thermal infrared detection technology made the target have certain degree of recognition by reflecting the thermal radiation information emitted by the target, effectively compensating the information loss of visible light image in harsh imaging environment [12][13][14][15][16][17][18][19][20][21][22][23]. Therefore, the research on the target area extraction algorithm of infrared thermal image is very important for improving the detection robustness and accuracy of interested targets in harsh environment.…”