Abstract:With the continuous growth of electricity demand, the scale and complexity of power equipment are increasing day by day, leading to a higher risk of equipment failure and defects. To ensure the safe and reliable operation of the power system, effective detection and maintenance of power equipment have become particularly important. Traditional methods of power equipment detection, such as manual inspection and regular patrols, suffer from low efficiency and high error rates. Especially in complex and dangerous environments, manual inspections often fail to detect equipment failures in a timely manner, thereby increasing the risk of system failures. This article aims to explore how to use artificial intelligence and image recognition technology to achieve intelligent detection and diagnosis of power equipment in the power system, focusing particularly on defect detection in key parts of transmission lines and power equipment. By designing and implementing an intelligent diagnostic system based on a cloud platform, power equipment detection can not only be automated and intelligent but also possess strong real-time and accuracy capabilities, providing strong protection for the safe operation of the power system.