Risk state assessment of coal miners' habitual violation behavior

doi:10.16265/j.cnki.issn 1003-3033.2020.12.009

Abstract

Abstract: In order to reduce accidents caused by habitual violation behavior of coal miners, FAHP and IE were used, considering randomness and uncertainty of miners' habitual violation, to determine objective weight of evaluation index. Then risks were divided into five grades, and a risk state assessment model of their habitural violation was constructed by using five-element relation number. Finally, with a coal mine in Shaanxi Province as an example, change trend of risks was explored. The results show that organization management and working environment are two important reasons for miners' habitual violation of regulations, and risk of miners' habitual violation behavior is fluctuating. Poor management of resources, insufficient propaganda of organizational culture, more coal dust and job burnout should be valued because they have high risk.

Key words: coal mine, habitual violation behavior, risk situation, fuzzy analytic hierarchy process (FAHP), information entropy (IE), five-element connection number

CLC Number:

X936

HE Yingge, LIAN Minjie, JIANG Song, SU Mengzhe. Risk state assessment of coal miners' habitual violation behavior[J]. China Safety Science Journal, 2020, 30(12): 62-69.

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