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Intelligent Optimization of Tower Crane Location and Layout Based on Firefly Algorithm
The existing tower crane positioning layout mainly depends on the experience of construction personnel, and the best tower crane positioning can be found through a large number of manual data calculation. This manual method is time-consuming and impractical. In view of this, aiming at the current si...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259253/ https://www.ncbi.nlm.nih.gov/pubmed/35814533 http://dx.doi.org/10.1155/2022/6810649 |
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author | Liu, Cong Zhang, Fangqing Han, Xiaojian Ye, Hongyu Shi, Zanxi Zhang, Jie Wang, Tiankuo She, Jianjun Zhang, Tianyue |
author_facet | Liu, Cong Zhang, Fangqing Han, Xiaojian Ye, Hongyu Shi, Zanxi Zhang, Jie Wang, Tiankuo She, Jianjun Zhang, Tianyue |
author_sort | Liu, Cong |
collection | PubMed |
description | The existing tower crane positioning layout mainly depends on the experience of construction personnel, and the best tower crane positioning can be found through a large number of manual data calculation. This manual method is time-consuming and impractical. In view of this, aiming at the current situation that building information modeling (BIM) software can only obtain the relative coordinates of components, this article puts forward the key technology of importing computer-aided design (CAD) graphics into geographic information system (GIS) software to automatically obtain the world coordinate information. By clarifying the transfer relationship between the component material supply point, the component initial positioning point, and the tower crane optional positioning point, as well as the cooperative relationship between each positioning point and the tower crane operation, the tower crane positioning optimization model is formed, and the firefly algorithm is used to automatically calculate and generate the best positioning layout method of the tower crane on the project site. In this study, the vertical transportation and positioning of components are studied, and intelligent construction is formed by integrating information technology. It can further enrich the functions of perception, analysis, decision-making, and optimization; realize the decision-making intelligence of industrial buildings; and achieve the organic unity of engineering construction execution system and decision-making command system. |
format | Online Article Text |
id | pubmed-9259253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92592532022-07-07 Intelligent Optimization of Tower Crane Location and Layout Based on Firefly Algorithm Liu, Cong Zhang, Fangqing Han, Xiaojian Ye, Hongyu Shi, Zanxi Zhang, Jie Wang, Tiankuo She, Jianjun Zhang, Tianyue Comput Intell Neurosci Research Article The existing tower crane positioning layout mainly depends on the experience of construction personnel, and the best tower crane positioning can be found through a large number of manual data calculation. This manual method is time-consuming and impractical. In view of this, aiming at the current situation that building information modeling (BIM) software can only obtain the relative coordinates of components, this article puts forward the key technology of importing computer-aided design (CAD) graphics into geographic information system (GIS) software to automatically obtain the world coordinate information. By clarifying the transfer relationship between the component material supply point, the component initial positioning point, and the tower crane optional positioning point, as well as the cooperative relationship between each positioning point and the tower crane operation, the tower crane positioning optimization model is formed, and the firefly algorithm is used to automatically calculate and generate the best positioning layout method of the tower crane on the project site. In this study, the vertical transportation and positioning of components are studied, and intelligent construction is formed by integrating information technology. It can further enrich the functions of perception, analysis, decision-making, and optimization; realize the decision-making intelligence of industrial buildings; and achieve the organic unity of engineering construction execution system and decision-making command system. Hindawi 2022-06-29 /pmc/articles/PMC9259253/ /pubmed/35814533 http://dx.doi.org/10.1155/2022/6810649 Text en Copyright © 2022 Cong Liu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Cong Zhang, Fangqing Han, Xiaojian Ye, Hongyu Shi, Zanxi Zhang, Jie Wang, Tiankuo She, Jianjun Zhang, Tianyue Intelligent Optimization of Tower Crane Location and Layout Based on Firefly Algorithm |
title | Intelligent Optimization of Tower Crane Location and Layout Based on Firefly Algorithm |
title_full | Intelligent Optimization of Tower Crane Location and Layout Based on Firefly Algorithm |
title_fullStr | Intelligent Optimization of Tower Crane Location and Layout Based on Firefly Algorithm |
title_full_unstemmed | Intelligent Optimization of Tower Crane Location and Layout Based on Firefly Algorithm |
title_short | Intelligent Optimization of Tower Crane Location and Layout Based on Firefly Algorithm |
title_sort | intelligent optimization of tower crane location and layout based on firefly algorithm |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259253/ https://www.ncbi.nlm.nih.gov/pubmed/35814533 http://dx.doi.org/10.1155/2022/6810649 |
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