Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)

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Design of Intelligent Monitoring System for Power Distribution Equipment Based on Cloud Edge Collaborative Computing

Authors
Xu Erbao, LI Yan, Yang Mingshun, Chen Xi
Corresponding Author
Xu Erbao
Available Online November 2019.
DOI
10.2991/pntim-19.2019.3How to use a DOI?
Keywords
Component; Edge Computing; Cloud Edge Collaboration Computing; Fault Diagnosis
Abstract

With the development of sensor technology, when facing the explosive growth of large power data, the existing data acquisition and monitoring system (SCADA) is increasingly inadequate in data processing ability and lack of intelligence. In this paper, a novel intelligent monitoring system for power distribution equipment based on cloud edge collaborative computing is designed to effectively improve the efficiency and intelligence of mass data processing. At the edge end, an improved intelligent data acquisition device is adopted as the edge computing node, where the original data is collected and uploaded with variable frequency, in order to enhance the value density of data and reduce the network load and cloud load. In addition, data monitoring cloud platform is designed in the cloud, where a data mining model is established by using Apriori frequent item set algorithm, to provide more accurate monitoring and diagnosis services for upper applications, and guide the edge end to conduct intelligent control of devices. The reliability and performance of the designed system are validated by the intelligent monitoring project of box substation power distribution equipment.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)
Series
Atlantis Highlights in Engineering
Publication Date
November 2019
ISBN
978-94-6252-829-1
ISSN
2589-4943
DOI
10.2991/pntim-19.2019.3How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Xu Erbao
AU  - LI Yan
AU  - Yang Mingshun
AU  - Chen Xi
PY  - 2019/11
DA  - 2019/11
TI  - Design of Intelligent Monitoring System for Power Distribution Equipment Based on Cloud Edge Collaborative Computing
BT  - Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)
PB  - Atlantis Press
SP  - 10
EP  - 13
SN  - 2589-4943
UR  - https://doi.org/10.2991/pntim-19.2019.3
DO  - 10.2991/pntim-19.2019.3
ID  - Erbao2019/11
ER  -