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What is Construction 4.0

Artificial Intelligence and Machine Learning Techniques for Civil Engineering
Concept reflecting the vision for digital transformation of the construction industry, through the implementation of a wide range of emerging technologies and applications (e.g. cyber-physical systems, 3D Printing, robotics), in line with the forerunner paradigm of Industry 4.0 from the manufacturing sector.
Published in Chapter:
The Value Proposition of Machine Learning in Construction Management: Exploring the Trends in Construction 4.0 and Beyond
Marina Marinelli (National Technical University of Athens, Greece) and Mukund Nilakantan Janardhanan (University of Leicester, UK)
DOI: 10.4018/978-1-6684-5643-9.ch010
In the context of the fourth industrial revolution, machine –learning based applications, such as 3D Printing, computer vision and robotics, are envisaged to digitize construction. This chapter introduces the reader to the basics of AI and focuses on the role of machine learning in the development of technological applications aimed at the improvement of the construction industry's efficiency and sustainability. It reviews the potential benefits of these applications and identifies factors like e.g. high costs, skills gap, dynamic and risky working environment that typically keep them at a very low practical usage in construction. Furthermore, a bibliometric search reveals that, despite its key role in the digitization vision, machine learning is rarely acknowledged in the relevant ‘Construction 4.0' literature. The chapter also identifies the cybersecurity issues emerging from machine learning applications' use and discusses mitigation strategies and technologies aimed at minimizing the impact of threats.
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