Remote Diagnosis Method of Substation Equipment Fault Based on Image Recognition Technology

Authors

  • Pei Zhang Nanjing Nari information and Communication Technology Co., Ltd, Nanjing, China
  • Wenshuai Hu Nanjing Nari information and Communication Technology Co., Ltd, Nanjing, China
  • Xiaolong Hao Nanjing Nari information and Communication Technology Co., Ltd, Nanjing, China
  • Dingding Xi Nanjing Nari information and Communication Technology Co., Ltd, Nanjing, China
  • Shuaishuai Yan Nanjing Nari information and Communication Technology Co., Ltd, Nanjing, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.3623

Keywords:

Image recognition, substation, fault diagnosis, fault area.

Abstract

In order to better guarantee the operation effect of substation equipment,
a remote fault diagnosis method of substation equipment based on image
recognition technology is proposed. Combined with image recognition tech-
nology, the running image of substation equipment is tracked and collected,
the information characteristics of substation equipment are deeply excavated,
and the fault area of substation equipment is accurately judged. Remote
positioning has been carried out to realize the accurate detection of substa-
tion equipment fault. Finally, through the experiment, the remote diagnosis
method of substation equipment fault based on image recognition technology
is in the actual application process With higher accuracy, it can effectively
ensure the safety of substation equipment operation.

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Author Biographies

Pei Zhang, Nanjing Nari information and Communication Technology Co., Ltd, Nanjing, China

Pei Zhang graduated from Huaqiao University with a major in signal and
information processing. She is engaged in algorithm research and product
development in artificial intelligence algorithms and multimedia processing.
She has participated in the research of artificial intelligence algorithms in
the National Grid Science and Technology Project, and participated in the
development of smart and secure hard drives Video recorders, smart analysis
devices, smart security cameras and many other software and hardware prod-
ucts widely used by State Grid Corporation have achieved good economic
and social benefits. Published 1 core paper, applied for multiple patents,
participated in the formulation/revision of 1 enterprise standard.

Wenshuai Hu, Nanjing Nari information and Communication Technology Co., Ltd, Nanjing, China

Wenshuai Hu Engaged in Construction Management of major projects of
State Grid, research in the fields of video processing and Artificial Intelli-
gence Applications.

Xiaolong Hao, Nanjing Nari information and Communication Technology Co., Ltd, Nanjing, China

Xiaolong Hao Long term engaged in enterprise information architecture
design, video image processing and other aspects of research.

Dingding Xi, Nanjing Nari information and Communication Technology Co., Ltd, Nanjing, China

Dingding Xi received his undergraduate degree from the NYU Tandon
School of Engineering, and pursued a graduate degree at Columbia University
in Computer Engineering. He mainly engaged in artificial intelligence, image
processing research and product development. He is currently the Deputy
Director of the Technology Innovation Center of Nanjing Nari Informa-
tion and Communication Technology Co., Ltd. Research results have been
published in internationally renowned academic journals and conferences.
Organized and participated in the research and development of smart security
hard disk video recorders, smart analysis devices, smart security cameras and
other software and hardware products widely used by State Grid Corporation,
and achieved good economic and social benefits. The research results have
been published in some famous academic journals and conferences at home
and abroad, including: Wireless Communications and Signal Processing, etc.
Among them, 1 SCI retrieved paper, 2 EI retrieved papers, 8 authorized
patents, and 3 participating enterprise standards. Won 1 second prize of the State Grid Corporation of Science and Technology Progress; 1 first prize of
the Youth Innovation Competition of the State Grid Electric Power Research
Institute; Participated in the key technology and application of high-precision
analysis of power Internet of Things images and was recognized as the
international leading level by the China Electrical Engineering Society Par-
ticipated in the formulation of 3 national grid artificial intelligence enterprise
standards.

Shuaishuai Yan, Nanjing Nari information and Communication Technology Co., Ltd, Nanjing, China

Shuaishuai Yan He graduated from Shandong University, majoring in power
engineering and management. At present, he is mainly engaged in project
management and is very familiar with various systems in the substation.

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Published

2021-06-24

How to Cite

Zhang, P. ., Hu, W. ., Hao, X. ., Xi, D. ., & Yan, S. . (2021). Remote Diagnosis Method of Substation Equipment Fault Based on Image Recognition Technology. Distributed Generation &Amp; Alternative Energy Journal, 36(2), 125–140. https://doi.org/10.13052/dgaej2156-3306.3623

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Section

Articles