Gong-kuang zidonghua (Mar 2015)
Accident analysis and big data and Internet of Things in coal mine
Abstract
Coal mine accidents in China from 2004 to 2013 were analyzed according to the accident categories. Respectively, the accident number percentages of roof, gas, transportation, floods, electromechanical, blasting, fire accident were 52.7 percent, 11.3 percent, 16.9 percent, 3.1 percent, 4.1 percent, 2.7 percent and 0.4 percent, while the death toll percentages were 36.8 percent, 29.7 percent, 11.3 percent, 8.1 percent, 2.5 percent, 1.9 percent and 1.9 percent respectively. Among these categories, both the accident number and the death toll percentages of roof were highest. The accident number of gas accident ranked the third and the death toll of gas accident ranked the second. But in 2005 and 2013, the death toll percentages of gas accident were highest. The accident number of transportation accident ranked the second and the death toll of transportation accident ranked the third. The accident number and the death toll of all kinds of coal mine accidents both fell sharply. The accident number percentages of gas and roof accidents declined distinctly, but the accident number percentages of transportation and electromechanical accidents have increased. Accident prevention and control of transportation and electromechanical should be further strengthen. The application of big data in coal and gas outburst, coal bumps, damage by water and fire, fault diagnosis of coal mine key equipment, coal price and need forecasting were discussed. Besides, the application of Internet of Things in control of mine safety sign allowed product, control and remote maintenance of coal mine key equipment, control of coal mine equipment material, anti-collision, control of employment with certificates and specially-assigned operating person were discussed.
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