AI Empowers the Application of Industry Safety Intellectualization

Kai Tang, Xiaohua Luo, Lifeng Sun, Yuan Xu, Chao Fang
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引用次数: 0

Abstract

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.
人工智能助力工业安全智能化应用
安全生产事故数据表明,人的不安全行为是事故发生的主要和直接原因。不安全行为主要由生理功能下降、风险评估不足、消极认识、安全知识不足、管理导向错误、盲目自满等因素引起,由于人的不确定性,难以监督和控制。安全智能化,根据场景和业务逻辑,对空间、设备、设施、系统、服务进行组合优化,利用大数据挖掘的数据价值,对图像、语音进行智能识别和处理,支撑创新的管理模式和应用,为智能工厂、智能制造提供安全技术支撑。通过对人工智能模型和网络的不断优化,对不安全行为的识别准确率可达到91.2%以上,具有商业应用价值。
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