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Intelligent technologies for construction machinery using data-driven methods
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AI
DOI：10.1016/j.autcon.2022.104711.png)
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Abstract
En 中文
Along with the rapid development of infrastructure worldwide, traditional manual operations have been a concern that restricts the high efficiency, safety, and quality of construction sites. Benefiting the significant improvements of smart manufacturing and artificial intelligence (AI), intelligent construction machinery has been considered a novel solution to address human operations' shortcomings, which are mainly reflected in prognostic and health management (PHM), environment perception, and automation control. Relevant data -driven methods have achieved important advancement while lacking a comprehensive summary. Hence, this paper surveyed a wide range of research works reported in the literature which realized few-manned or unat-tended construction sites. At first, several widely-used AI algorithms and their variations were introduced. Secondly, three aspects were discussed in detail: PHM applications based on experiment environments, envi-ronment perception systems in terms of information mediums, and automation control methods according to training mechanisms. Finally, several research outlooks and challenges were put forward.
Keywords:
Construction machinery
Smart manufacturing
Artificial intelligence (AI)
Prognostic and health management (PHM)
Environment perception
Automation control