Safe working hours of drivers in underground coal mine pumping stations based on intelligent prediction

• Published in: Journal of intelligent & fuzzy systems pp. 1 - 8
• Main Authors: Yuansheng, Wang, Fang, Jiang, Meng, Shang
• Format: Journal Article
• Language: English
• Published: 26.04.2021
• ISSN: 1064-1246; 1875-8967
• DOI: 10.3233/JIFS-189946

Underground coal mine operation should avoid overtime or continuous working hours too long, otherwise easy to increase fatigue, increase the physiological and psychological burden of operators, resulting in accidents. How to prevent operator fatigue and unsafe behavior is the focus of current research in the industry and academia. It is an effective means to reduce physical and mental injury and accident rate caused by bad working environment to pump station drivers through reasonable arrangement of working time. In this study, the field measured physiological index data of a mine face pump station driver in Henan province, China were taken as an example, and the sensitive physiological indexes such as systolic pressure, diastolic pressure and heart rate of the underground pump station driver were calculated by using the grey predictive model GM (1,1). The warning range of each index was determined, and the safe working hours of the pump station driver was predicted. The results show that, according to the principle of minimum value triggered by threshold value of physiological indexes, the reasonable safe working hours of pump station drivers in fully mechanized mining face is 5.7 hours. The conclusion shows that the quantitative study of safe working hours provides a reference for the reasonable arrangement of working time and has a certain guiding significance for the reduction of human error and safe production.