Uncertainty Method Based on Dynamic Multi-Sensor Information Fusion in Power System

This paper proposes a multi-sensor information fusion method under uncertainty. Firstly, this paper proposes the method of relative proximity measurement for multi-sensor dynamic clustering under uncertainty. An optimal fusion mode for the same group of multi-sensor information fusion based on Bayesian estimation technology and compatibility measurement is proposed. In this paper, a new model for dynamic multi-sensor fusion system is described. The efficient fusion of information from different sources enables the system to respond promptly to the uncertain environment. The experimental results show that the model has high sensitivity and practicability, especially in the uncertain environment of intelligent system.