Research on Intelligent Monitoring and Fault Warning of Power Systems Based on Smart Systems and Computer Vision

Intelligent monitoring and fault warning of power systems are crucial for ensuring the reliability and stability of power systems. As the scale of power systems expands, power demand increases, and new energy sources are rapidly integrated, the operation of power systems becomes more complex. Therefore, more intelligent monitoring and warning methods are needed to detect potential issues in a timely manner. The use of active learning methods in this research provides an effective approach for model training. This method allows us to make full use of limited labeled data, continuously improve model performance by selecting unlabeled samples with high information value, and has wide application prospects in the monitoring and warning of power systems, enhancing model accuracy and robustness.