Research on the Human Causes of Coal Mine Roof Accidents Based on Association Analysis

Abstract

Unsafe human factors are significant cause of coal mine accidents, and roof accidents are the key prevention accidents in coal mines. In this paper, 115 reports of roof accidents are deeply mined and combined with HFACS model theory to form a table of human factors of roof accidents with three primary factors of supervision-management-production and 22 secondary factors such as unscientific formulation of safety supervision plan, to determine the existence of human factors in accidents through retrospective reports, to generate the RAHCS, and to propose control measures for different levels of roof accidents from supervision, management and production under Apriori association algorithm, to provide theoretical data support for enhancing human factors control.

Application of Bayes Theorem to Accident Analysis and Classification

“…The meaning of those letters appearing after the letters, these letters are called related variables, and the meaning of the numbers behind these letters is the degree of change of the related variables when the value of the variable symbol changes, 0.01 is the smallest variable, and negative numbers are Values greater than 0.568. The complete data is not shown in Table 3, please refer to [7] for the complete data. Fig.…”

“…Fig. 3 Bayesian Networks of the Relationships among the Causes of Mine Roof Accidents [8] As shown in Fig. 3, after obtaining the correlation of the variables, the author constructed the corresponding Bayesian network and imported the causes of all coal mine roofs.…”