RESEARCH ON ADAPTATION MULTICRITERIAL ELECTROOPTICAL DEVICE FOR OBJECT IN THE FORM OF BLIND DRIFT FOR CONTENT CONTROL OF METHANE, DUST AND EXPLOSION-HAZARDOUS DUST-METHANE AIR MIXTURE

S.A. Lisakov, A.I. Sidorenko, E.V. Sypin
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Abstract: Study was carried out to adaptation a multicriteria electro-optical device (MCEOD) for an object in the form of blind drift in coal mine. Adaptation implies the development of approaches to the placement of MCEOD sensors to monitor the presence of gas contamination with methane, dust and an explosive dust-and-air mixture. As a result, an approach was determined based on computer modeling for placing methane and coal dust sensors, taking into account the minimization of the time for detecting the maximum permissible concentration of methane and coal dust by the sensors. The simulation was carried out using the Fire Dynamics Simulator software package for solving computational fluid dynamics problems. Two scenarios of the occurrence of emergency situations associated with a malfunction of ventilation were considered - stopping the local ventilation fan for 20 s, lagging ventilation pipes at a distance from the pipe to the bottom d = 12, 18 and 22 m. Methane concentration sensors are placed on the side opposite to the ventilation pipeline during normal ventilation operation. In case of ventilation malfunctions, the sensors are additionally placed as close as possible to the mine roof at a distance of 0.2–0.5 m. The distance from the face to the methane concentration sensors is taken from 3 to 5 m. Dust concentration sensors during normal ventilation operation must be placed at points near the source of dust release on the mining shearer. In case of malfunctions of ventilation, it is necessary to additionally place sensors for the concentration of coal dust under the roof. The error of predicting situations using data on changes in time of sensor signals was estimated using an algorithm based on a neural network of the NAR type for the installed locations of the sensors. The average error in predicting an alarming situation does not exceed 17%, in a pre-emergency situation – 15%, in an emergency – 16%.
Index terms: multicriterial electro-optical system, gas content, methane, dustiness, coal dust, blind drift.

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