基于视觉的变电站220kv断开开关状态识别

2022 6th International Conference on Green Technology and Sustainable Development (GTSD) Pub Date : 2022-07-29 DOI:10.1109/GTSD54989.2022.9989321

Quang-Sang Le, V. Pham, Bich-Lan Phung

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引用次数: 0

摘要

目前，变电站的远程监控是一种非常流行的技术。对于这样的系统，必须持续跟踪设备的状态。提出了一种基于视觉的220kV变电站断开开关开合状态识别方法。在220kV变电站收集大小为512×512的图像用于训练和测试，而使用EfficientDet模型D0进行迁移学习。实验结果表明，该模型能准确识别220kV断开开关的状态，mAP值为99.74%。

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Vision Based State Recognition of 220kv Disconnect Switches in Power Substations

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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来源期刊

2022 6th International Conference on Green Technology and Sustainable Development (GTSD)

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