Vision Based State Recognition of 220kv Disconnect Switches in Power Substations
2022 6th International Conference on Green Technology and Sustainable Development (GTSD)(2022)
摘要
Remotely monitoring and controlling power substations are popular nowadays. For such systems, it is essential to continuously keep track of devices' conditions. This paper presents a vision-based method for recognizing states, open and closed, of 220kV disconnect switches in power substations. Images of size 512×512 were collected at a 220kV power substation for training and test whereas the EfficientDet model D0 was utilized for transfer learning. Experiment results show that the model can accurately recognize states of 220kV disconnect switches with mAP of 99.74%.
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关键词
220kV Disconnect Switches,EfficientDet,Object Detection,Computer Vision,Deep Learning,Machine Learning
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