Research on the Application of Rule Inference Technology in Intelligent Edge-Terminal Scenarios

Currently, the general mode of Edge-Terminal collaboration is that the terminal executes lightweight tasks, the edge side collects data from terminal devices for centralized computing, and the two ends conduct data interaction. Due to the limited computing power and memory of terminal devices and the complex deployment environment, there are usually problems such as inefficient deployment and upgrade of end-side programs and difficult management. This paper proposes a rule inference application mode for Edge-Terminal collaborative scenarios. The rule inference engine can run simultaneously on both the edge side and the end side, which can separate business logic from application programs, support the collaborative linkage of data at both ends, and improve the deployment efficiency of end-side devices and the autonomous decision-making ability of both ends.