Panoramic Intelligent Monitoring Technology of Power Equipment under New Power System Based on Machine Vision

Abstract

Panoramic Intelligent Monitoring Technology of Power Equipment under the New Power System Based on Machine Vision represents a pioneering approach to address the evolving challenges of monitoring and managing modern power systems. This study investigates the implementation and experimental validation of this innovative technology, leveraging high-resolution cameras, advanced computer vision algorithms, and data analytics techniques to enable real-time surveillance and proactive maintenance strategies. Through the integration of simulated testbeds, real-world data acquisition, and analytical methodologies, the performance of the monitoring system is rigorously evaluated, demonstrating significant improvements in equipment reliability, downtime reduction, and fault detection accuracy. The findings highlight the transformative potential of Panoramic Intelligent Monitoring Technology in enhancing the reliability, efficiency, and safety of power infrastructure, paving the way for a smarter and more resilient energy landscape. As the energy industry continues to evolve, embracing technological advancements and data-driven approaches will be crucial in addressing the complexities and demands of modern power systems, ensuring a sustainable and reliable energy supply for future generations.