Research on the stability and security of image recognition detection technology for electrical equipment based on cloud-side-end collaboration

Abstract

The digital construction process of power grid often uses image intelligent recognition technology in the transmission and substation system for equipment environment monitoring, unmanned inspection and other scenarios, and this process generates massive data, and the existing centralized data processing model is limited by the lack of storage resources and computing power, and cannot meet the massive data processing requirements and frequent interaction needs. In this regard, this paper proposes a framework for the application of image recognition data of side electrical equipment based on cloudside - end collaboration, and builds an online intelligent diagnosis and analysis model of electrical equipment based on image recognition algorithm, so as to achieve real-time tracking of the operation status of electrical equipment. To further verify the stability and safety of the built model, Matlab simulation software is applied to conduct a targeted case analysis of the model, and the superiority of the proposed cloud-side synergy in the image recognition model of electrical equipment is verified through the comparative analysis of data synergy efficiency curves, which proves the feasibility of the proposed design scheme.