Substantiation of the possibility for expanding the modern Aerogas Control (AGC) systems functions when using them to identify the processes of spontaneous heating, spontaneous ignition of coal and gas contamination at the mining site of the coal mine. Methods. This paper presents the dynamics study of selecting 15 air distribution gas samples from the specified places, using the MATLAB system and Simulink extension packages. Gas samples have been selected in the 14th southern longwall face of block No.10 at Mining Administration "Pokrovske" during March 23-27, 2019, where an emergency situation related to gas contamination occurred on March 15, 2019. Findings. The experimental data has been processed on the carbon monoxide emission in mine workings of the extraction area, longwall face, technological pipelines, and on air distribution. A carbon monoxide increase in mine workings has been determined from 0.0000-0.0002% in the air jet, incoming the site, to 0.0001-0.0003% in the jet, outcoming from the site. Moreover, maximal invasion of carbon monoxide to the stope mine working occurred during operations of breaking and transporting coal within the extraction area, and when these activities were stopped and there was no fresh beaten material, the invasion of carbon monoxide was reduced to the background content level. It has been proved that improvement of the existing AGC systems by adding the sensors for measuring tracer gases and airflow rate, as well as the "artificial intelligence" to information processing units, will make possible to determine absolute and relative readings for sources identification of spontaneous coal heating at early stages. Originality. For the seam d4 conditions, the nature and peculiarities have been revealed of the carbon monoxide emission and the effects of ventilation during extraction operations at the mining site, while previous known studies were devoted to the carbon monoxide emission from the seams k5, l1, m4 2 with a change in the granulometric composition. Practical implications. Constant monitoring of aerological threats will make it possible to take appropriate measures for limiting the ventilation and gas hazards effects, the danger of endogenous fires.
The object of this paper is to study the specificity of the dynamics of carbon monoxide in mining to determine the location of the source of coal self-heating or spontaneous combustion. The Fire Dynamics Simulator software package was used to model the gas hazard of coal mine workings. Given the typical details for the western coal basin of Donbas geo metric dimensions of workings, properties of coal, etc., a model of a fragment of emergency mining of a coal mine was created, which allows for the display of geometric and physical similarity to processes in actual mine workings. The results of the simulation for the studied scenarios with different air supply systems related to the detection and location of sources of self-heating or spontaneous combustion in the coal mine workings were obtained and analysed. It was established that low-density fire gases are concentrated in the vault of the workings, where they slowly dissolve in the air, with the dissolution process being linear. It was revealed that air velocity up to 0.67 to 0.7 m/s contributes to the formation of fire gas flows, which move towards the ventilation flow, almost without mixing, which is referred to as bifurcation. Numerical parameters of fire gas dynamics in near-real conditions were established, which can become a basis for the detection and location of sources of endogenous thermodynamic processes in mine workings.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.