Design and Application of a Production Accident Early Warning and Analysis System
Qiaoshun Wu, Kun Pi, Qigen Liang, Haibo Peng · 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) · 2020
In view of the common occurrence of potential accidents in iron and steel industry at present, but only post-accident analysis of production accidents, according to the analysis of production environment, data communication and data traceability requirements of production site, a pre-defined accident information is proposed to alert production site accidents, and the pre-defined accident information can self-improve the accident early warning analysis framework after confirming the architecture, event flow, data acquisition, acousto-optic control and data real-time are studied in depth, which makes the accident early warning analysis architecture modular, visual, scalable, robust and real-time, and effectively prevent or reduce accidents. Through the early warning information of the acousto-optic device, the production site takes timely preventive measures to effectively eliminate and optimize the hidden danger of the accident, realize the early warning of the accident, solve the problem that the accident is only analyzed after the event, which is of great significance to the reduction of the accident rate, the improvement of the production efficiency and the improvement of the intelligent production.