Online monitoring method for the whole life cycle of substation DC system based on Internet of Things

Shaobo Wang; Yangzan Bai; Lijun Chi; Xiaotong Xu; Shaoping Ding; Qingshan Xin

doi:10.1117/12.2671716

1 June 2023 Online monitoring method for the whole life cycle of substation DC system based on Internet of Things

Shaobo Wang, Yangzan Bai, Lijun Chi, Xiaotong Xu, Shaoping Ding, Qingshan Xin

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126251A (2023) https://doi.org/10.1117/12.2671716
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

Due to the safe operation of power system directly affects the construction and development of social economy, so in order to ensure that Chinese power industry substation can work normally, scientific research scholars put forward a combination of the basic theory of full life cycle in the practice of inquiry, integration and use of Internet of things technology to carry out online monitoring. In the development of theoretical innovation of Internet of things technology in our country, the application of it to online monitoring of transformer substation DC system can simplify the construction steps, optimize the monitoring intensity, and provide an effective basis for modern power industry substation. In this article, therefore, to understand the whole concept of life cycle and substation dc system, on the basis of according to the research progress in recent years, the application of Internet technology, deep discussion with the Internet of things as the core of the lifecycle of on-line monitoring system for substation dc system design, and start to discuss from the Angle of practice application value of the overall technology method.

Citation Download Citation

Shaobo Wang, Yangzan Bai, Lijun Chi, Xiaotong Xu, Shaoping Ding, and Qingshan Xin "Online monitoring method for the whole life cycle of substation DC system based on Internet of Things", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126251A (1 June 2023); https://doi.org/10.1117/12.2671716

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