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Real-Time Image-Identification-Based Anti-Manmade Misoperation System for Substations

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4 Author(s)
Wei Cai ; School of Electrical Engineering, Wuhan University (WHU) ; Jian Le ; Chao Jin ; Kaipei Liu

A novel antimisoperation system is proposed to prevent manmade misoperations using real-time signboard image identification technology. A portable video capture device is employed to capture real-time images of the current working bay's substation signboard. These images, with the aid of image identification, are used to determine whether the operations staff has accessed a wrong bay. The framework and workflow of the system are provided, and the implementation of the signboard image border detection, character partition, and image-matching methods are also introduced in detail. The effectiveness and engineering applicability of the proposed system are demonstrated through lab results and in-field tests. The proposed system can be used in conjunction with an active five-prevention system to further improve the validity and safety of substation operations.

Published in:

IEEE Transactions on Power Delivery  (Volume:27 ,  Issue: 4 )