Infrared Image Recognition and Development of Management System for Electrical Equipment

Abstract

At present, infrared imaging technology has been widely used in the monitoring of the operating state of electrical equipment. In the operation and maintenance of substations, infrared imaging is often used to collect infrared images, and the health status of the equipment is judged by manual analysis. However, the management analysis of a large number of infrared images brings extra workload to the personnel. Aiming at this problem, this paper takes Visual Studio 2015 C# as development tool, Access 2010 as data management platform, and adopts C# and Matlab hybrid programming technology to realize the infrared image recognition and development of management system for electrical equipment. The system can accurately identify key information of infrared images, but also efficiently manage infrared images, and automatically generate diagnostic reports of electrical equipment based on infrared image recognition results and user needs.