Abstract: In order to study the fatigue of waist muscles of coal miners, using the method of miners manual handling work for experiment paradigm, the maximum voluntary contraction force values of the waist(F_MVC, F_MVC'), heart rate and blood pressure was recorded before and after lifting operation, and the miner's rating of perceived exertion (B_RPE) after the completion of work tasks in each stage was also recorded.In this way, to explore the significant relationships of individual body mass index(I_bm), load (F_load), heart rate(R_h), work time(t) and fatigue rate(v), maximum voluntary contraction percentage(f_MVC) and B_RPE etc. of human muscle fatigue indicators. The results of significance and correlation analysis show that with the increase of handling time, the decline rate of waist muscle strength increases rapidly and the degree of muscle fatigue increases; with the increase of age and heart rate, rating of perceived exertion becomes stronger; overweight and body obesity miners are more perceived to fatigue. Unary linear regression prediction model of B_RPE is built to quantify the muscle fatigue strength changes and B_RPE of miners. It is expected to optimize the job design and shift system for coal miners, so as to prevent the risk of musculoskeletal disease.