2021
DOI: 10.1007/978-3-030-83723-5_11
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Towards Digital Twins for Knowledge-Driven Construction Progress and Predictive Safety Analysis on a Construction Site

Abstract: This is the accepted manuscript (post-print version) of the article.Contentwise, the accepted manuscript version is identical to the final published version, but there may be differences in typography and layout.

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Cited by 5 publications
(3 citation statements)
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References 36 publications
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“…Tian et al [26] integrated a backpropagation neural network, BIM model and sensor data to check the risk factors for tunnel deformation in subway construction. Li et al [27] further proposed a holistic construction safety management framework based on the digital twins concept, where 4D BIM and sensors were adopted to provide the physical model and dynamic construction data respectively. Additionally, ASP created by Schultz et al [28] was used to conduct rule-based "Space-Time" safety checking.…”
Section: Safety Checking In Subway Constructionmentioning
confidence: 99%
“…Tian et al [26] integrated a backpropagation neural network, BIM model and sensor data to check the risk factors for tunnel deformation in subway construction. Li et al [27] further proposed a holistic construction safety management framework based on the digital twins concept, where 4D BIM and sensors were adopted to provide the physical model and dynamic construction data respectively. Additionally, ASP created by Schultz et al [28] was used to conduct rule-based "Space-Time" safety checking.…”
Section: Safety Checking In Subway Constructionmentioning
confidence: 99%
“…In [4], Li et al examine the potential of 4-dimensional BIM (BIM updated with real-time sensor data from a construction site or building) as a basis for digital twins. In particular, the paper illustrates how abductive reasoning can provide a basis for checking conformance to construction safety codes.…”
Section: Contributionsmentioning
confidence: 99%
“…The main experiences analyzed (Tabs. 1 and 2) are related to the monitoring of materials, equipment, and workers [4-6], the optimization of safety on-site [7-10], the DT [11,12,[13][14][15][16][17] and the automation of the entire construction process [18,12]. Among these, only a few have specifically focused on operations and sites related to recovering the historical-architectural heritage.…”
Section: Introductionmentioning
confidence: 99%