关键词: 深井矿工, 身心安全态势, 热湿环境, 影响等级评定, 物元可拓模型, 指标体系

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 matter-element 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.

Key words: deep well miners, physical and psychological safety situation, thermal and humid environment, influencing level assessment, matterelement extension model, index system