Analysis on the Human Errors in Coal Mines based on Ant Clustering Algorithm

摘要

The human error mechanism in coal mine safety is analyzed specifically from safety psychological and physiological factors, worker's 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.