Monitoring method of electricity safety status at customer side based on Internet of Things perception

Yifei Shu; Jieying Kang; Bo Fan; Qi Yang; Zhiqiang Ma; Fei Liang

doi:10.1117/12.2673734

22 May 2023 Monitoring method of electricity safety status at customer side based on Internet of Things perception

Yifei Shu, Jieying Kang, Bo Fan, Qi Yang, Zhiqiang Ma, Fei Liang

Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 126400T (2023) https://doi.org/10.1117/12.2673734
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China

Abstract

To solve the problem of low classification accuracy of electricity safety status on the customer side, which affects the monitoring accuracy, this paper studies the monitoring method of electricity safety status on the customer side combined with the perception technology of the Internet of Things. The power consumption monitoring data on the user side is collected by using the IoT perception. The TAN network topology is taken as the core to construct a security state identification model, and the model operation result is output as the monitoring result to realize the power consumption security state monitoring. Through experimental verification, the new monitoring method has higher accuracy in safety state classification and higher monitoring accuracy, which can comprehensively improve the perception, monitoring and service capabilities of customer-side electricity safety, and enhance the level of user electricity safety.

Citation Download Citation

Yifei Shu, Jieying Kang, Bo Fan, Qi Yang, Zhiqiang Ma, and Fei Liang "Monitoring method of electricity safety status at customer side based on Internet of Things perception", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 126400T (22 May 2023); https://doi.org/10.1117/12.2673734

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