Development of Digital Twin with External Data Resources in Manufacturing with Complex Algorithms
Although computational methods have historically been utilized by architecture companies, they are now becoming more and more common in popular constructions for automated process Digital Twin (DT) design, as-built assessment, and parametric simulation techniques. This study shows how workflow might...
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| Vydané v: | SN computer science Ročník 4; číslo 5; s. 611 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Springer Nature Singapore
01.09.2023
Springer Nature B.V |
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| ISSN: | 2661-8907, 2662-995X, 2661-8907 |
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| Abstract | Although computational methods have historically been utilized by architecture companies, they are now becoming more and more common in popular constructions for automated process Digital Twin (DT) design, as-built assessment, and parametric simulation techniques. This study shows how workflow might well be utilized to converge on optimum and heuristic approaches to difficult issues and how optimization algorithms have the potential to help smart technology in assembly. In this study, two kinds were studied. The first involves a computational technique that has been applied to a difficult geometric problem in the manufacture of structural sheathing panels. The following illustration shows a computational process consisting of methods to automate the extraction and processing of Building Information Model (BIM) information for the output path shows significance. Learning from these examples shows how computer simulation should be effective for complex and repeated process development. Here, it must be demonstrated that computational techniques can effectively search for large-choice regions and detect costly development errors from the outset. |
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| AbstractList | Although computational methods have historically been utilized by architecture companies, they are now becoming more and more common in popular constructions for automated process Digital Twin (DT) design, as-built assessment, and parametric simulation techniques. This study shows how workflow might well be utilized to converge on optimum and heuristic approaches to difficult issues and how optimization algorithms have the potential to help smart technology in assembly. In this study, two kinds were studied. The first involves a computational technique that has been applied to a difficult geometric problem in the manufacture of structural sheathing panels. The following illustration shows a computational process consisting of methods to automate the extraction and processing of Building Information Model (BIM) information for the output path shows significance. Learning from these examples shows how computer simulation should be effective for complex and repeated process development. Here, it must be demonstrated that computational techniques can effectively search for large-choice regions and detect costly development errors from the outset. |
| ArticleNumber | 611 |
| Author | Rao, E. Gurumohan Roopa, Y. Mohana Ashreetha, B. Sundararajan, P. N. Vijayalakshmi, N. Ramesh, J. V. N. |
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| Cites_doi | 10.3390/app11156810 10.1016/j.autcon.2022.104420 10.3390/su141811767 10.1007/s12633-020-00447-9 10.1016/j.compind.2022.103768 10.3390/app10248794 10.1016/j.vrih.2022.01.004 10.1007/s42452-019-1179-8 10.1016/j.jobe.2022.104028 10.1016/j.ejrh.2022.101087 10.3390/app11094276 10.1016/j.ifacol.2020.11.061 10.1016/j.compind.2021.103570 10.3390/app12157403 10.1061/(ASCE)CP.1943-5487.0001050 10.1016/j.autcon.2021.103917 10.1007/s40436-021-00375-w 10.1016/j.matpr.2020.10.902 10.1109/MECON53876.2022.9752178 10.1061/9780784483893.069 10.1007/978-981-19-4606-6_42 10.1117/12.2600140 10.1088/1757-899X/869/6/062045 |
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