Thermal imaging identification of coal and rock in northern China under thermal excitation——experiment and theoretical model

ABSTRACT

The identification of the coal and rock is an important part in the process of coal preparation. Thermal imaging is an effective way to identify coal and rock. However, the current research lacks in-depth studies of the theory behind experimental phenomena. To address the issue, the radiant temperature observation experiments in different coal and rock samples from typical coal mining areas in northern China under thermal excitation were conducted in this paper. The results showed that there was a significant difference in the magnitude of radiant temperature change between coal and rock, the mean radiant temperature of coal was 3.69 K higher than that of rock when heated for 3 min under heat source radiation conditions of 310 W/m². Second, a quantitative model of coal and rock radiant temperature change was established, and the experimental verification demonstrated that the correlation coefficient between the experimental results and the theoretical inversion results reached 0.988. Finally, combined with the index of temperature sensitivity, a theoretical model for thermal imaging identification of coal and rock was constructed, which lays a theoretical foundation for the application of the technology in coal preparation.

KEYWORDS:

• Coal
• Coal-rock identification
• Infrared thermal imaging
• radiant temperature

Acknowledgements

This work was supported by the National Natural Science Foundation of China [grant number 41771404].

Disclosure Statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data availability statement

Data will be made available on request.

CRediT authorship contribution statement

Wenhua Yi: Data curation, Analysis, Writing – original draft. Shanjun Liu: Conceptualization, Writing – review & editing. Chao Zhang: Conceptualization, Review & editing. Ruibo Ding: Methodology, Software. Haoran Wang: Conceptualization, Review & editing

Additional information

Funding

The work was supported by the National Natural Science Foundation of China [41771404].