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Real-time monitoring of construction sites : sensors, methods, and applications

  • Aravinda S. Rao
  • , Marko Radanovic
  • , Yuguang Liu
  • , Songbo Hu
  • , Yihai Fang
  • , Kourosh Khoshelham
  • , Marimuthu Palaniswami
  • , Tuan Ngo

Research output: Contribution to journalArticlepeer-review

322 Citations (Scopus)

Abstract

The construction industry is one of the world's largest industries, with an annual budget of $10 trillion globally. Despite its size, the efficiency and growth in labour productivity in the construction industry have been relatively low compared to other sectors, such as manufacturing and agriculture. To this extent, many studies have recognised the role of automation in improving the efficiency and safety of construction projects. In particular, automated monitoring of construction sites is a significant research challenge. This paper provides a comprehensive review of recent research on the real-time monitoring of construction projects. The review focuses on sensor technologies and methodologies for real-time mapping, scene understanding, positioning, and tracking of construction activities in indoor and outdoor environments. The review also covers various case studies of applying these technologies and methodologies for real-time hazard identification, monitoring workers' behaviour, workers' health, and monitoring static and dynamic construction environments.
Original languageEnglish
Article number104099
Number of pages22
JournalAutomation in Construction
Volume136
DOIs
Publication statusPublished - Apr 2022

Bibliographical note

Publisher Copyright:
© 2021 Elsevier B.V.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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