Impact of intelligent construction on the workload of underground coal miners
Wang Lei
Zhang Shuo
Xu Zepeng
Abstract：Working in underground coal mines is dangerous and arduous,with long-term physical labor and hazardous conditions having numerous negative effects on miners'physical and mental health.This study,conducted against the backdrop of the intelligent transformation of coal mines,used a questionnaire survey at a state-owned coal mine in Shanxi,China.It established a research framework to investigate the impact of intelligent equipment application on the workloads,fatigue,and pain experienced by underground miners.Data analysis was performed using hierarchical regression and Bootstrap method on 202 valid questionnaires.The results showed that the implementation of intelligent systems in coal mining significantly improved miners'physical burden by reducing physical labor and enhancing the working environment.This,in turn,reduced feelings of fatigue and pain,with the improvement in physical burden acting as a mediating factor.These findings can provide valuable guidance for coal mining companies and managers in formulating appropriate strategies for intelligent development and human resource management policies,ultimately promoting the well-being and job satisfaction of coal miners.
Keywords：coal mine intelligentcoal minersworkloadhierarchical regressionBootstrap method
Publication Date：2023-11-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 72-79 )