Rapid assessment and simulation study of the physiological and psychological state of coal miners

• Main Authors: Gang Jin, JinSuo Zhang, YiXin Huang
• Format: Article
• Language: English
• Published: EDP Sciences 2021-01-01
• Series: E3S Web of Conferences
• Online Access: https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/21/e3sconf_aeecs2021_01060.pdf

In order to achieve a rapid evaluation of the physiological and psychological state of miners and to solve the problem of how to prevent human-caused accidents underground. Based on the existing literature and expert interviews, a rapid evaluation index system consisting of 2 aspects of physiological state and psychological state, 11 indicators such as body temperature, blood pressure and heart rate is established, and the index weights are determined by using AHP hierarchical analysis. Based on the weights, the physiological and psychological status of coal miners is classified into four levels: excellent, good, medium, and poor. Evaluation criteria also is established. A fuzzy comprehensive evaluation model of coal miners’ physiological and psychological states is constructed, and the subordination suitable for the evaluation of coal miners’ physiological and psychological states is given. Degree function. Using MATLAB2016a to randomly simulate 1000 sets of index data and perform evaluation and analysis, the results found that the proportions of evaluation as excellent and good are 36% and 35%, respectively; the proportions of neutral and poor are 16% and 13%, respectively. The evaluation of the physiological and psychological states of five coal miners in a coal mine in Shaanxi Province, with all results above “good”, is verified to be consistent with reality. Through simulation analysis and example verification, it is shown that the model is reasonable and applicable to the group of coal miners, and is expected to provide theoretical support for the development of subsequent rapid assessment software systems.