Integration of Industry 4.0 Related Technologies in Construction Industry: A Framework of Cyber-Physical System
Zhijia You,Lingjun Feng +1 more
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TLDR
This study presents a framework of a cyber–physical system to integrate these technologies and improve the overall capabilities of construction organization and management and introduces a case study of the Xiong’an citizen service center.Citations
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A Systematic Review of Construction 4.0 in the Context of the BIM 4.0 Premise
Hana Begić,Mario Galić +1 more
TL;DR: It was found that the main drivers of Construction 4.0, which originated from the 4IR, are BIM, IoT, and BD, but with specific implementations, and the state-of-the-art review presented in this paper suggests that BIM is in transition, adopting Construction 5.0 to become BIM 4.
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Impact of Industry 4.0 Platform on the Formation of Construction 4.0 Concept: A Literature Review
TL;DR: In this paper, a literature review was conducted using the most relevant publication in this field and a bibliometric analysis among 195 selected research articles related to the Industry 4.0 to identify interconnections between these concepts.
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Towards next generation cyber-physical systems and digital twins for construction
TL;DR: In this paper, the authors describe cyber physical integration of emerging technologies with the physical construction or constructed facility as the next generation digital twin and cyber-physical systems, and potential scenarios of next generation cyber physical system and digital twin for improving workforce productivity, health, and safety, lifecycle management of building systems and workforce competency are presented.
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The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing: A Content-Centric Review
TL;DR: A content-centric study of the implementation of these Industry 4.0 cutting-edge technologies in sustainable manufacturing is currently absent as mentioned in this paper , and a systematic literature study was conducted to explain the potential contribution of these novel technologies to the economic, social, and environmental dimensions of manufacturing industries.
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Artificial Intelligent Technologies for the Construction Industry: How Are They Perceived and Utilized in Australia?
TL;DR: This study is the first to explore AI technology adoption prospects and constraints in the Australian construction industry by analyzing social media data and advocates the search for finding the most efficient means to utilize AI technologies.
References
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Deep Learning for Computer Vision: A Brief Review.
TL;DR: A brief overview of some of the most significant deep learning schemes used in computer vision problems, that is, Convolutional Neural Networks, Deep Boltzmann Machines and Deep Belief Networks, and Stacked Denoising Autoencoders are provided.
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The Future of Industrial Communication: Automation Networks in the Era of the Internet of Things and Industry 4.0
TL;DR: The impact of IoT and CPSs on industrial automation from an industry 4.0 perspective is reviewed, a survey of the current state of work on Ethernet time-sensitive networking (TSN) is given, and the need for harmonization beyond networking is pointed out.
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Understanding the implications of digitisation and automation in the context of Industry 4.0
TL;DR: The results of the triangulation approach, which consists of a comprehensive systematic literature review and case study research, are presented, by illustrating a PESTEL framework and a value chain model, to present the implications of Industry 4.0 for the construction industry.
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Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison
Qinglin Qi,Fei Tao +1 more
TL;DR: The similarities and differences between big data and digital twin are compared from the general and data perspectives and how they can be integrated to promote smart manufacturing are discussed.
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Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing
Fei Tao,Meng Zhang +1 more
TL;DR: A novel concept of digital twin shop-floor (DTS) based on digital twin is explored and its four key components are discussed, including physicalShop-floor, virtual shop- Floor, shop- floor service system, and shop-ground digital twin data.