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Information visualization method for intelligent construction of prefabricated buildings based on P-ISOMAP algorithm

Authors :
Ouyang, Xue
Peng, Yizhou
Pan, Siyu
Ouyang, Ping
Source :
International Journal of Emerging Electric Power Systems; November 2022, Vol. 24 Issue: 1 p73-89, 17p
Publication Year :
2022

Abstract

Prefabricated buildings are assembled from factory prefabricated parts, components, and materials transported to the construction site. Its construction process is often called “building blocks”, and the focus is on “prefabrication” and “assembly”. This paper aims to study how to analyze and study the intelligent construction of prefabricated buildings based on the P-ISOMAP algorithm, and describe the information visualization. This paper presents the problem of information visualization, which is based on the P-ISOMAP algorithm and BIM technology. Therefore, the concepts and related algorithms of the two are expounded, and the case design and analysis of the information visualization of the intelligent construction of prefabricated buildings are carried out. The experimental results show that in the questionnaire survey, 87.61% hope to visualize architectural-related information, 82.30% of structural information, and 91.15% of model display, all of which are very high. The information visualization of intelligent construction meets the needs of the masses. In addition to guiding the assembly of prefabricated components, informatization is also convenient for manufacturing and quality management. According to the data generated by real-time monitoring during the construction process, the construction period and the construction material plan are controlled. In the completion stage, these data can be directly exported to complete the completion report for completion acceptance.

Details

Language :
English
ISSN :
21945756 and 1553779X
Volume :
24
Issue :
1
Database :
Supplemental Index
Journal :
International Journal of Emerging Electric Power Systems
Publication Type :
Periodical
Accession number :
ejs62275398
Full Text :
https://doi.org/10.1515/ijeeps-2022-0118