Demonstrates effective green construction control in airport steel structures, suggesting improved environmental outcomes.
Airport steel structures are influenced by numerous factors during construction, which constantly change and interfere with each other, making it difficult to identify and control the key factors that affect green construction. In response to this issue, this paper proposes a green construction control method for large-scale airport steel structures based on digital twins and multi-dimensional data fusion. Firstly, this paper establishes a green construction control model for large airport steel structures based on digital twins, infers its evolution process, and obtains a risk index system for green construction of large airport steel structures. Based on the model and indicator system, this paper uses the Apriori-RF algorithm to deeply explore the coupling relationship between various factors and further form an effective warning mechanism. Finally, taking the expansion project of Wusu International Airport as an example, corresponding risk warnings were provided through the establishment of twin models and analysis of related indicators, which effectively controlls the level of green construction. The research results indicate that the green construction control method for large airport steel structures based on digital twins and multi-dimensional data fusion can accurately control the factors that affect green construction, providing a more accurate and intelligent method for improving the green construction level of large airport steel structures.
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Sun et al. (2026) studied this question.
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