Research on a Mixed Asset Identification Model for Industrial control system of Tobacco Industry

Research on a Mixed Asset Identification Model for Industrial control system of Tobacco Industry

연구 분야: Infrastructure

학회: ICBAR '24: Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management

With the rapid development of the tobacco industrial internet and the rapid iteration and expansion of industrial assets, it has become a new topic to clarify asset information and sort out asset status in the tobacco industrial environment. Based on common asset types used in the tobacco industrial internet such as PLC, HMI, tobacco machinery, HDMI, and intelligent robots, this paper studies a solution for identifying industrial mixed assets in the tobacco industry by using network communication traffic between assets as the basic data unit, and achieves precise identification of industrial assets in the tobacco industry industrial internet.