Kai Tang, Xiaohua Luo, Lifeng Sun, Yuan Xu, Chao Fang
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AI Empowers the Application of Industry Safety Intellectualization
Data of safety production accidents show that people’s unsafe behavior is the major and direct cause of accidents. The unsafe behavior is mainly caused by the decline of physiological function, insufficient risk assessment, negative understanding, insufficient safety knowledge, wrong management orientation and blind complacency, which is difficult to supervise and control for human uncertainty. Safety Intellectualization, which combines and optimizes space, equipment, facilities, systems and services according to scenarios and business logic, utilizes data value of big data mining and intelligently recognizes and processes images and voices to support innovative management models and applications, and provides safety technology support for smart factories and intelligent manufacturing. Through continuous optimization of Artificial Intelligent model and network, the recognition accuracy of unsafe behavior can reach more than 91.2%, which has commercial application value.