Development and implementation of air switch detection system based on docker technology

Weijie Zeng; Hanjun Deng; Rui Huang; Zhi Wang

doi:10.1117/12.2662810

9 December 2022 Development and implementation of air switch detection system based on docker technology

Weijie Zeng, Hanjun Deng, Rui Huang, Zhi Wang

Proceedings Volume 12492, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2022); 1249211 (2022) https://doi.org/10.1117/12.2662810
Event: International Workshop on Automation, Control, and Communication Engineering (IWACCE 2022), 2022, Wuhan, China

Abstract

There are a large number of air switches in substations, computer rooms and other places. It is often necessary to artificially change the opening and closing states of the air switches for specific tasks. Due to the high labor cost and potential safety hazards, it has great potential to implement edge-computing-based deep learning models in these scenarios. However, these scenarios have complex conditions and many electromagnetic interferences, and the long-term stable operation of deep learning models requires high virtual isolation technology involved in edge computing. In this context, this paper uses virtual isolation technology and deep learning model for air switch detection, uses the trained air switch detection model based on YOLOX deep learning framework to make mirror images, and completes isolation enhancement in the generation of mirror images. Besides, on this basis, a safe and efficient control decision-making scheme based on neural network is proposed.

Citation Download Citation

Weijie Zeng, Hanjun Deng, Rui Huang, and Zhi Wang "Development and implementation of air switch detection system based on docker technology", Proc. SPIE 12492, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2022), 1249211 (9 December 2022); https://doi.org/10.1117/12.2662810

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available