Automated Testing Equipment Can Provide Relevant Data Analysis For Power Fittings.

Intelligent detection solutions based on computer vision and deep learning are being widely applied in the electrical transmission line hardware fittings field. These systems use drones or inspection robots equipped with high-definition cameras to collect comprehensive data on power transmission lines. After the acquired image is processed by the model, the position of hardware fittings for transmission lines can be automatically located, and the surface defects such as the degree of corrosion, deformation, and loose bolts on aerial electrical fitting can be identified. Related data indicators, including the percentage of defect area, corrosion depth estimation, and stress concentration locations, can be quantified and recorded.

The accumulation of this quantitative data is of great significance to power line hardware. Firstly, it provides power companies with objective and traceable inspection evidence, establishing a time-series archive of component status. When the same location is repeatedly scanned periodically, comparative analysis can reveal defect development trends, helping to determine when maintenance or replacement is needed. Secondly, the aggregation of massive amounts of inspection data forms a large database. Statistical analysis can reveal the failure patterns of overhead line fittings under different environmental conditions and materials, providing a reference for design improvement and product selection.