How To Improve The Efficiency Of Testing Power Fittings?

Modern inspection strategies incorporate visual acquisition and algorithmic analysis technologies. High-definition cameras mounted on drones are used to acquire large-scale images of defect aerial electrical fitting, which are then fed into a target detection model for analysis. Deep learning-based detection model training can cover common defect categories power line hardware, enabling automatic labeling and classification of structures such as connecting parts and pins in the images, providing data support for subsequent maintenance.

Phase-array ultrasonic testing technology provides another dimension of on-site equipment inspection. Using ultrasonic sensors, hidden defects such as microcracks and corrosion that may exist inside defect overhead line fittings can be scanned, allowing for structural integrity analysis under non-destructive conditions. This method is suitable for identifying internal defects that conventional visual inspection cannot cover.