State Identification of Cabinets Based on Convolution Neural Network
Defeng Li, Ming Liu, Xiaogang Xu, Junhua Li · 2017
The screen cabinet of power system is an important part in the substation, and the automatic extraction and identification of the information displayed on the cabinet is of great significance to the substation intelligent development process. This paper has presented a cabinet state information recognizing method based on convolution neural network, which uses LeNet5 framework to automatically identify the switch, indicator light status and other information on the cabinet.