Proceedings of the 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024)

Analysis and Research on Green Building Technology Based on Big Data Analysis

Authors
Yuchen Xue1, *
1China Architecture Design and Research Group, Beijing, China
*Corresponding author. Email: xueyuchen1129@126.com
Corresponding Author
Yuchen Xue
Available Online 17 September 2024.
DOI
10.2991/978-94-6463-516-4_5How to use a DOI?
Keywords
Big Data; Green Building; Intelligent Context; Intelligent Construction
Abstract

In recent years, with the application, development and popularization of network technologies such as cloud computing, Internet and Internet of Things (IoT), human society has entered the era of explosive growth of data, and the generation and circulation of massive data have become the norm, and the application of big data in various fields such as economy, finance and biomedicine has attracted great attention from all walks of life. Big data has significant positive externalities on green development. China is experiencing a critical period of economic transformation and upgrading. This paper argues that green development emphasizes the harmonious coexistence of human beings and nature, and aims at efficiency, coordination and sustainability, taking into account the balanced development of the economy, society and nature. The increasing development and wide application of modern information and communication technologies, such as big data, cloud computing, the Internet and intelligence, have permeated all aspects of the economy, society and ecology. Big data, through its own characteristics, promotes economic transformation and upgrading, optimizes the demand structure, improves quality and efficiency, and promotes the coordinated development of the economy, society and the environment. Big data has significant positive externalities on green development. Based on the support of big data foundation, this paper analyzes the influencing factors of green building, and gives an outlook and development prediction of green building industry.

Copyright
© 2024 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 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024)
Series
Advances in Engineering Research
Publication Date
17 September 2024
ISBN
978-94-6463-516-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-516-4_5How to use a DOI?
Copyright
© 2024 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

TY  - CONF
AU  - Yuchen Xue
PY  - 2024
DA  - 2024/09/17
TI  - Analysis and Research on Green Building Technology Based on Big Data Analysis
BT  - Proceedings of the 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024)
PB  - Atlantis Press
SP  - 36
EP  - 43
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-516-4_5
DO  - 10.2991/978-94-6463-516-4_5
ID  - Xue2024
ER  -