Analysis on the Human Errors in Coal Mines Based on Ant Clustering Algorithm
Shuang Yue Liu, Zi Fang · Applied Mechanics and Materials · 2014
The human error mechanism in coal mine safety is analyzed specifically from safety psychological and physiological factors, workers quality, safety management, safety education, mechanical equipment, and working environment, and also a human error dominant factors classification model playing a great effect on the safety production of coal mine is established with the application of ant clustering algorithm. The experimental results show that management is the key in the human errors of coal mine.