In order to advance the pre-control of unsafe behaviors of coal mine personnel and provide timely warnings for hu-man factor risks,in this paper,the Hongliulin coal mine was taking as the engineering background and based on the theoreti-cal framework for the unsafe state of coal mine personnel accumulated in previous researchs,multidisciplinary advantages were integrated.A rapid detection system for unsafe states of coal mine workers consisted of a scale data detection system,a physiological data detection system,a facial physiological data detection system,and a pre-job unsafe state intelligent detec-tion system was developed,which was mainly and technically supported by a physiological-psychological-behavioral cou-pling information analysis model,a feature layer fusion scheme for multi-source heterogeneous data,a grading method for unsafe states,and warning standards.On-site application results show that this system has a reasonable structure,clear hier-archy,strong fault tolerance,low error rate,stable operation,and easy maintenance,deeply aligning with national policies and development trends for the intelligent reform of coal mines,and has broad application prospects.
关键词
不安全状态/煤矿从业人员/多源数据融合/智能终端/快速检测系统
Key words
unsafe state/coal mine worker/multi-source data fusion/intelligent terminal/rapid detection system
维普
万方数据