Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)

Construction of Green Intelligent Building Operation and Maintenance Management Platform Based on Big Data Technology

Authors
Huiqun Liu1, *
1Dalian Vocational & Technical College, Dalian, Liaoning Province, 116101, China
*Corresponding author. Email: huiqunliuliu@163.com
Corresponding Author
Huiqun Liu
Available Online 27 October 2023.
DOI
10.2991/978-94-6463-276-7_7How to use a DOI?
Keywords
Big data technology; green and intelligent building; operation and maintenance management; data mining; computer application
Abstract

In the era of digital intelligence, the blessing of intelligent engineering can further enhance the practical benefits of green buildings in application services and environmental conservation, but it also increases the difficulty of green building operation and maintenance management. In this regard, based on the problems of weak unity, low coordination and poor effectiveness in the operation and maintenance management of green intelligent buildings, this paper puts forward a set of construction scheme of operation and maintenance management platform of green intelligent buildings, so as to improve the sharing and distribution of data and information and promote the reform of operation and maintenance management mode of green intelligent buildings. The system takes Hadoop cluster as the data management and processing server, Spark as the data analysis and mining engine, and combines Javaweb technology to form an interactive application system integrating online application, intelligent processing, visual analysis and other functions. Practice has proved that the system can realize the effective linkage of intelligent projects and complete real-time monitoring. It can also use data mining algorithms such as K-means, Apriori, CART random forest to build the corresponding energy consumption management analysis model, enhance the perception of green intelligent buildings, and effectively realize intelligent operation and maintenance management.

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 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 October 2023
ISBN
10.2991/978-94-6463-276-7_7
ISSN
2667-128X
DOI
10.2991/978-94-6463-276-7_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

TY  - CONF
AU  - Huiqun Liu
PY  - 2023
DA  - 2023/10/27
TI  - Construction of Green Intelligent Building Operation and Maintenance Management Platform Based on Big Data Technology
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 53
EP  - 59
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_7
DO  - 10.2991/978-94-6463-276-7_7
ID  - Liu2023
ER  -