变电运维智能化关键技术研究及应用分析

Key Points

• This research aims to investigate the critical technologies for intelligent maintenance in substations to enhance grid reliability and efficiency.
• Developed a layered technical architecture for intelligent maintenance comprising perception, transmission, processing, and application.
• Identified and analyzed four key technologies: data acquisition and transmission, data analysis and processing, intelligent control, and communication.
• Examined specific applications in equipment monitoring, condition assessment, and automated maintenance.
• Intelligent maintenance technologies improved equipment reliability and operational efficiency.
• Facilitated a shift from scheduled maintenance to predictive maintenance in power systems.

Abstract