Prestressed Steel Material-Allocation Path and Construction Using Intelligent Digital Twins
This study is aimed at the fact that material allocation and construction progress cannot be intelligently controlled in the construction of prestressed steel structures. An intelligent planning method of a material-allocation path for prestressed steel-structure construction, based on digital twins...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Metals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4701/12/4/631 |
| _version_ | 1797434338145468416 |
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| author | Zhansheng Liu Guoliang Shi Jie Qin Xiangyu Wang Junbo Sun |
| author_facet | Zhansheng Liu Guoliang Shi Jie Qin Xiangyu Wang Junbo Sun |
| author_sort | Zhansheng Liu |
| collection | DOAJ |
| description | This study is aimed at the fact that material allocation and construction progress cannot be intelligently controlled in the construction of prestressed steel structures. An intelligent planning method of a material-allocation path for prestressed steel-structure construction, based on digital twins (DTs), is proposed. Firstly, the characteristics of material allocation in the process of structural construction are analyzed, and a five-dimensional integrated DT framework for intelligent path-planning is built. Driven by the DT framework, the progress and environmental information of the construction site are collected in real time. At the same time, the field working conditions are dynamically simulated in the virtual model, so as to realize the interactive mapping between physical space and virtual space. In each construction process, by integrating the progress of each process at each construction location, and the storage and allocation of materials, a multidimensional model for the intelligent planning of material allocation is formed. The information fusion of virtual and real space is carried out using an entropy method to analyze the construction buffer time and material allocation time at each location of the construction site. On this basis, combined with the Dijkstra algorithm, the transportation time associated with the path is calculated according to the field distribution of each location. A feasibility analysis is carried out in the virtual model and imported into the field dynamic-marking system. Combined with radio frequency technology to guide material allocation on site, the intelligent planning of the material-allocation path is realized. In this study, taking the construction of the National Speed Skating Pavilion of the 2022 Beijing Winter Olympics as an example, the DT technology and Dijkstra algorithm are applied to the intelligent planning of the material-allocation path. It is fully verified that the intelligent method can effectively coordinate the relationship between schedule control and material allocation. |
| first_indexed | 2024-03-09T10:31:43Z |
| format | Article |
| id | doaj.art-0ffb11f29ff74f11b5d2117276f07154 |
| institution | Directory Open Access Journal |
| issn | 2075-4701 |
| language | English |
| last_indexed | 2024-03-09T10:31:43Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metals |
| spelling | doaj.art-0ffb11f29ff74f11b5d2117276f071542023-12-01T21:14:01ZengMDPI AGMetals2075-47012022-04-0112463110.3390/met12040631Prestressed Steel Material-Allocation Path and Construction Using Intelligent Digital TwinsZhansheng Liu0Guoliang Shi1Jie Qin2Xiangyu Wang3Junbo Sun4Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, ChinaFaculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, ChinaArchitectural Engineering College, North China Institute of Science and Technology, Langfang 065201, ChinaSchool of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang 330013, ChinaSchool of Design and the Built Environment, Curtin University, Perth, WA 6102, AustraliaThis study is aimed at the fact that material allocation and construction progress cannot be intelligently controlled in the construction of prestressed steel structures. An intelligent planning method of a material-allocation path for prestressed steel-structure construction, based on digital twins (DTs), is proposed. Firstly, the characteristics of material allocation in the process of structural construction are analyzed, and a five-dimensional integrated DT framework for intelligent path-planning is built. Driven by the DT framework, the progress and environmental information of the construction site are collected in real time. At the same time, the field working conditions are dynamically simulated in the virtual model, so as to realize the interactive mapping between physical space and virtual space. In each construction process, by integrating the progress of each process at each construction location, and the storage and allocation of materials, a multidimensional model for the intelligent planning of material allocation is formed. The information fusion of virtual and real space is carried out using an entropy method to analyze the construction buffer time and material allocation time at each location of the construction site. On this basis, combined with the Dijkstra algorithm, the transportation time associated with the path is calculated according to the field distribution of each location. A feasibility analysis is carried out in the virtual model and imported into the field dynamic-marking system. Combined with radio frequency technology to guide material allocation on site, the intelligent planning of the material-allocation path is realized. In this study, taking the construction of the National Speed Skating Pavilion of the 2022 Beijing Winter Olympics as an example, the DT technology and Dijkstra algorithm are applied to the intelligent planning of the material-allocation path. It is fully verified that the intelligent method can effectively coordinate the relationship between schedule control and material allocation.https://www.mdpi.com/2075-4701/12/4/631digital twinDijkstra algorithmprestressed steel structurematerial allocationintelligent planningconstruction management |
| spellingShingle | Zhansheng Liu Guoliang Shi Jie Qin Xiangyu Wang Junbo Sun Prestressed Steel Material-Allocation Path and Construction Using Intelligent Digital Twins Metals digital twin Dijkstra algorithm prestressed steel structure material allocation intelligent planning construction management |
| title | Prestressed Steel Material-Allocation Path and Construction Using Intelligent Digital Twins |
| title_full | Prestressed Steel Material-Allocation Path and Construction Using Intelligent Digital Twins |
| title_fullStr | Prestressed Steel Material-Allocation Path and Construction Using Intelligent Digital Twins |
| title_full_unstemmed | Prestressed Steel Material-Allocation Path and Construction Using Intelligent Digital Twins |
| title_short | Prestressed Steel Material-Allocation Path and Construction Using Intelligent Digital Twins |
| title_sort | prestressed steel material allocation path and construction using intelligent digital twins |
| topic | digital twin Dijkstra algorithm prestressed steel structure material allocation intelligent planning construction management |
| url | https://www.mdpi.com/2075-4701/12/4/631 |
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