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_id	caadria2023_283
id	caadria2023_283
authors	Qin, Bowen, Wang, Tianyu, Dubbeldam, Winka, Korhammer, Justin, Huang, Cong, Wu, Dengguo and Jiang, Hongming
year	2023
title	An Integrated Application of Building Information Modeling, Computer-Aided Manufacturing, Machine Learning, and the Internet of Things – A Hybrid Stadium as a Case Study
doi	https://doi.org/10.52842/conf.caadria.2023.1.119
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 119–128
summary	Using building information modeling (BIM), design teams can maximize decision-making efficiency by using one data-sharing platform and one integrated digital model. We present a novel built-project that integrates computer-aided manufacturing (CAM), machine learning, and internet of things (IoT) with a BIM process. The goal is to solve design and manufacturing problems and tightly connect virtual design data with the real-world construction process. Introducing CAM in the early phase reduces the cost of reverse engineering and optimizes material and construction costs. Machine learning has been used for curtain wall panel standardization and to solve manufacturing problems. The IoT concept focuses on directing the data stream onto real-world objects and updating the digital model using feedback from real-world monitoring. Using the integrated application in this project, a hybrid Olympic stadium, helped to accelerate the process of design and reduced the time and cost for manufacturing and construction.
keywords	Building Information Modeling (BIM), Computer Aided Manufacturing (CAM), Machine Learning, Internet of Things (IoT), Panel Standardization
series	CAADRIA
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last changed	2023/06/15 23:14

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