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The Recognition and Information Extraction of Grid Wiring Diagram Based on Convolutional Neural Network

Authors :
Sha Sha
Peisen Lv
Donghai Chen
Xuyang Wang
Weirui Yue
Zhengwei Jiang
Source :
2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

With the rapid development of digital image processing and recognition, the intelligent grid wins a great opportunity. We could be able to get the information from digital images quickly based on computer analysis, algorithms of deep learning and machine learning, grid data extraction, model training and image recognition. The article firstly reviewed the current status of traditional grid, including a broad overview of the specific strengths and weaknesses, secondly analyzed the intelligence algorithms of deep learning and machine learning based on neural network, then achieved the recognition and reconstruction of wiring diagram through image recognition based on neural network, lastly showed the prospects of image recognition in power system.

Details

Database :
OpenAIRE
Journal :
2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL)
Accession number :
edsair.doi...........763d7f3f89e550759007c44d853b2cb2