Citation

Nie X, Ai W, Ma Y, Sun H. China Saf. Sci. J. 2021; 31(12): 24-31.

Copyright

(Copyright © 2021, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2021.12.004

PMID

unavailable

Abstract

In order to protect mines' physical and mental health and reduce safety accidents, influence of thermal and humid environment in deep wells on their physical and psychological safety was analyzed by using matter-element extension theory. Firstly, an influencing index system was established, and a matterelement extension model was designed and improved. Then, with 9 mining workers being selected from a copper mine in Chengde, Hebei as objects, matter-element correlation function method, matter-element eigenvalue, cloud model evaluation, expert evaluation and other methods were used to assess impact level, and their assessment outcomes were compared and analyzed. The results show that evaluation results of the four methods are different. While matter-element correlation function method and cloud model evaluation method demonstrate that influence is evenly distributed, they cannot reflect influencing degree of thermal and humid environment on samples in vertical dimensions. According to eigenvalue method, the influence is concentrated in the middle level. According to the improved matter-element extension model, influence level of 9 miners is 1 low impact, 3 relatively low impacts, 1 medium impact, 3 relatively high impacts, and 1 high impact. Thanks to this model, influencing level and key influencing factors can be directly reflected. © 2020 China Safety Science Journal. All rights reserved.

Language: zh