2020
DOI: 10.1051/e3sconf/202020402006
|View full text |Cite
|
Sign up to set email alerts
|

Research on Intelligent Power Automation Technology Based on Edge Computing of Power Internet of Things

Abstract: With the rapid development of modern economy and the rapid promotion of science and technology, electricity is the realistic need for further transformation of various industries in contemporary society. Because the traditional power management mode is relatively backward and the automation level of different industries is uneven, these will limit the development of intelligent power automation. Therefore, based on the edge computing of power Internet of Things, this paper studies intelligent power automation … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 10 publications
0
1
0
Order By: Relevance
“…EC renders local intelligent control services, intelligent data collection, data analysis, and intelligent industrial manufacturing that gradually lag. In the absence of cloud services, the corresponding research and design purposes of data collection based on EC and IoT can also be achieved [16,17]. Traditional data processing is mainly carried out through cloud computing, and now, it is carried out at the edge, greatly reducing the pressure on the cloud.…”
Section: Data Acquisition Of Ecmentioning
confidence: 99%
“…EC renders local intelligent control services, intelligent data collection, data analysis, and intelligent industrial manufacturing that gradually lag. In the absence of cloud services, the corresponding research and design purposes of data collection based on EC and IoT can also be achieved [16,17]. Traditional data processing is mainly carried out through cloud computing, and now, it is carried out at the edge, greatly reducing the pressure on the cloud.…”
Section: Data Acquisition Of Ecmentioning
confidence: 99%