Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

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Design and application of public digital models in multi-source heterogeneous environments in the energy industry

Authors
Ke Chen1, *, Haichao Huang1, Yehua Zhang1, Yuqing Xie1, Jiaqi Wang1
1State Grid Zhejiang Electric Power Corporation Information &, Telecommunication Branch, Hangzhou, 310016, Zhejiang, China
*Corresponding author. Email: chen_ke@zj.sgcc.com.cn
Corresponding Author
Ke Chen
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_7How to use a DOI?
Keywords
Digital models; Energy industry; Automated generation; Business reuse
Abstract

This paper proposes a multi-level model automatic generation technology scheme in the multi-source heterogeneous environment of the energy industry, and realizes the function of automatic generation of the system digital model from business model, logical model to physical model. Construct service reuse capabilities, combine the digital model resource center and interactive interactive platform technology with high reusability characteristics, and provide service reuse components for other newly built application systems.

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 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-102-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_7How 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  - Ke Chen
AU  - Haichao Huang
AU  - Yehua Zhang
AU  - Yuqing Xie
AU  - Jiaqi Wang
PY  - 2022
DA  - 2022/12/29
TI  - Design and application of public digital models in multi-source heterogeneous environments in the energy industry
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 50
EP  - 55
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_7
DO  - 10.2991/978-94-6463-102-9_7
ID  - Chen2022
ER  -