The Role Of Improving The R&d Level Of Power Fittings Testing Equipment In Improving Industry Testing Efficiency

In the research and development of power system equipment, the maturity of overhead power line hardware testing equipment technology is inversely related to the performance of the overall testing process. For transmission line hardware testing equipment, the technical parameter settings, imaging and recognition accuracy, and other influencing factors during the research and development phase determine the subsequent data acquisition quality and analysis output level. This type of research and development work covers multiple levels of issues, from hardware sensing and acquisition units to software algorithms. For electrical transmission line hardware fittings small-sized, complex-shaped components, high-precision image acquisition and intelligent recognition algorithms have become the focus of scientific research and engineering application exchanges. Related research indicates that in the inspection of transmission line equipment, using deep learning models for the identification and localization of hardware fittings for transmission lines targets can improve detection performance, reduce reliance on manual annotation, and enhance the automation capability of the overall testing process.