Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

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Data Collaboration Model for Nuclear Power Business

Authors
Hui Zhang1, *, Siqi Jin1, Wei Dong2, Menghao Han3, Zhenyan Ji3
1Shenzhen Zhongguanghe Engineering Design Co., Ltd., Shenzhen, 518172, China
2Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China
3Department of Software, Beijing Jiaotong University, Beijing, 100044, China
*Corresponding author. Email: zhanghui560203@163.com
Corresponding Author
Hui Zhang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_20How to use a DOI?
Keywords
deep learning; data collaboration; blockchain; distributed storage
Abstract

To unify different departments, business systems and terminal protocols in nuclear power business, data collaboration technology and distributed data storage are introduced to realize intelligent collaboration between cloud servers and edge nodes with the help of edge-cloud collaboration, which can break through the bottleneck of multi-source heterogeneous data access. We propose a secure and efficient federated learning scheme for sharing private energy data in smart grids through edge-cloud collaboration to cope with unpredictable communication delays and potential security and efficiency issues. This model sinks the cloud computing technology to the edge side, realizes the cloud-side data collaboration model, promotes the transformation of nuclear power business to a unified and intelligent advanced model. This can effectively improve the working efficiency of nuclear power business, and ensure the security of data in the collaborative mode.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-064-0_20
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_20How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hui Zhang
AU  - Siqi Jin
AU  - Wei Dong
AU  - Menghao Han
AU  - Zhenyan Ji
PY  - 2022
DA  - 2022/12/27
TI  - Data Collaboration Model for Nuclear Power Business
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 175
EP  - 180
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_20
DO  - 10.2991/978-94-6463-064-0_20
ID  - Zhang2022
ER  -