Automated Selection and Localization of Mobile Cranes in Construction Planning
Accurate selection and location of mobile cranes is a critical issue on construction sites, being able to contribute to the improvement of the safety and efficiency of lifting operations. Considering the complexities and dynamics of construction sites, this study aimed to develop a useful approach f...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-04-01
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| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/12/5/580 |
| _version_ | 1797501135232172032 |
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| author | Hongling Guo Ying Zhou Zaiyi Pan Zhitian Zhang Yantao Yu Yan Li |
| author_facet | Hongling Guo Ying Zhou Zaiyi Pan Zhitian Zhang Yantao Yu Yan Li |
| author_sort | Hongling Guo |
| collection | DOAJ |
| description | Accurate selection and location of mobile cranes is a critical issue on construction sites, being able to contribute to the improvement of the safety and efficiency of lifting operations. Considering the complexities and dynamics of construction sites, this study aimed to develop a useful approach for automated selection and localization of mobile cranes based on the simulation of crane operations. First, the information required for crane selection and localization is analyzed and extracted from BIM (building information modeling). Then, mainly considering the crane capacity, the initial crane type is selected with candidate location points. Based on the simulation of lifting operation at the candidate points, feasible location points and crane types are determined through three constraint checks (i.e., environment constraint, operation constraint, and safety constraint). Besides, two kinds of efficiency optimization, namely lifting time minimization and crane movement minimization, are presented to figure out the best location points from the feasible points. Finally, the proposed approach is validated using a case study. This research contributes to not only crane operation planning but also automatic construction simulation, thus supporting the implementation of intelligent construction in the future. |
| first_indexed | 2024-03-10T03:14:00Z |
| format | Article |
| id | doaj.art-cc53eb52e35241f18baa698d44fcc7df |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-10T03:14:00Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-cc53eb52e35241f18baa698d44fcc7df2023-11-23T10:20:08ZengMDPI AGBuildings2075-53092022-04-0112558010.3390/buildings12050580Automated Selection and Localization of Mobile Cranes in Construction PlanningHongling Guo0Ying Zhou1Zaiyi Pan2Zhitian Zhang3Yantao Yu4Yan Li5Department of Construction Management, Tsinghua University, Beijing 100086, ChinaDepartment of Construction Management, Tsinghua University, Beijing 100086, ChinaDepartment of Construction Management, Tsinghua University, Beijing 100086, ChinaDepartment of Construction Management, Tsinghua University, Beijing 100086, ChinaDepartment of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, ChinaDepartment of Construction Management, Tsinghua University, Beijing 100086, ChinaAccurate selection and location of mobile cranes is a critical issue on construction sites, being able to contribute to the improvement of the safety and efficiency of lifting operations. Considering the complexities and dynamics of construction sites, this study aimed to develop a useful approach for automated selection and localization of mobile cranes based on the simulation of crane operations. First, the information required for crane selection and localization is analyzed and extracted from BIM (building information modeling). Then, mainly considering the crane capacity, the initial crane type is selected with candidate location points. Based on the simulation of lifting operation at the candidate points, feasible location points and crane types are determined through three constraint checks (i.e., environment constraint, operation constraint, and safety constraint). Besides, two kinds of efficiency optimization, namely lifting time minimization and crane movement minimization, are presented to figure out the best location points from the feasible points. Finally, the proposed approach is validated using a case study. This research contributes to not only crane operation planning but also automatic construction simulation, thus supporting the implementation of intelligent construction in the future.https://www.mdpi.com/2075-5309/12/5/580mobile craneautomated selectionautomated localizationvirtual construction |
| spellingShingle | Hongling Guo Ying Zhou Zaiyi Pan Zhitian Zhang Yantao Yu Yan Li Automated Selection and Localization of Mobile Cranes in Construction Planning Buildings mobile crane automated selection automated localization virtual construction |
| title | Automated Selection and Localization of Mobile Cranes in Construction Planning |
| title_full | Automated Selection and Localization of Mobile Cranes in Construction Planning |
| title_fullStr | Automated Selection and Localization of Mobile Cranes in Construction Planning |
| title_full_unstemmed | Automated Selection and Localization of Mobile Cranes in Construction Planning |
| title_short | Automated Selection and Localization of Mobile Cranes in Construction Planning |
| title_sort | automated selection and localization of mobile cranes in construction planning |
| topic | mobile crane automated selection automated localization virtual construction |
| url | https://www.mdpi.com/2075-5309/12/5/580 |
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