Wide-Area Abnormal Fault Detection Method in High Voltage Cable Tunnel
High voltage cables operate in cable tunnel environments and require periodic inspections by personnel to detect abnormal faults.A machine vision tracking imaging anomaly fault detection method based on wide range range range is proposed to improve personnel work efficiency and detect adverse working conditions in a timely manner.This method can utilize the characteristics of extremely high contrast and stability in complex back-grounds and lighting conditions with wide area range,quickly and accurately locate and track abnormal water accu-mulation in cable tunnels,and generate high-quality lightning arrester images through machine vision composition technology.The effectiveness of the method has been verified through simulation experiments and on-site experi-ments.The results show that the method can achieve stable tracking and clear imaging of water accumulation tar-gets in tunnels under different perspectives and distances,and has high recognition and tracking rates.The on-site test results show that this method can automatically complete the task of detecting water accumulation faults in cable tunnels in actual substation environments,and has high accuracy.
cable tunnewide area extremely differencefault detectionabnormal target recognition
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