Application of Automation and Internet of Things for Health, Safety, and Ergonomics in Construction

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: closed (20 August 2022) | Viewed by 4329

Special Issue Editors

Department of Building and Real Estate, Faculty of Construction and Environment, Hong Kong Polytechnic University, Hong Kong, China
Interests: construction informatics; construction management; construction health and safety; construction engineering and management
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Guest Editor
Department of Building and Real Estate, Faculty of Construction and Environment, Hong Kong Polytechnic University, Hong Kong, China
Interests: construction ergonomics; occupational health and safety; exoskeleton devices; work-related musculoskeletal disorders; physical fatigue; wearable sensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

I would like to direct your attention to a Special Issue of the worldwide, cross-disciplinary, academic open access journal Buildings (IF: 2.648 (2021)), titled “Application of Automation and the Internet of Things for Health, Safety, and Ergonomics in  the Construction Industry ," for which we are Guest Editors.

Given the tremendous physical demands of construction operations and the severe working conditions, the construction sector is well known for its stressful work settings. With growing concerns about worker safety and health, it is more critical than ever to monitor excessive physical workloads in order to avoid worker fatigue, injury, or accident in physically demanding environments. Numerous methods have been used to evaluate construction workers' health, safety, and ergonomics. Automation and the Internet of Things provide objective assessment and continuous monitoring of a number of key parameters, which can assist in providing early warning in workers at high risk for health problems.

This Special Issue aims to publish technical, empirical, and review papers that are both practical and theoretical contributions to cutting-edge automation and Internet of Things technology, as well as the latest research findings and practical interventions for improving construction health, safety, and ergonomics.

As such, this Special Issue focuses on all aspects of automation and the Internet of Things that contribute to the health, safety, and ergonomics of construction. This list is not exhaustive; therefore, feel free to be inventive!

  • Wearable sensing technology
  • Automation and robotics in construction
  • Biomechanical analysis
  • Machine learning
  • Deep learning
  • Artificial intelligence
  • Internet of things
  • Digital twin
  • Ergonomics
  • Physiological monitoring
  • Computer vision
  • Physical or mental fatigue
  • Application of virtual and augmented reality (VR/AR)

Prof. Dr. Heng Li
Dr. Shahnawaz Anwer
Guest Editors

 

Jie Ma 
Guest Editor Assistant

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wearable sensors
  • physical fatigue
  • mental fatigue
  • automation and robotics in construction
  • biomechanical analysis
  • construction ergonomics
  • construction safety
  • machine learning
  • deep learning
  • artificial intelligence
  • Internet of Things
  • digital twin
  • physiological monitoring
  • computer vision
  • virtual and augmented reality

Published Papers (1 paper)

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Review

31 pages, 2343 KiB  
Review
Construction Robotics and Human–Robot Teams Research Methods
by Adetayo Olugbenga Onososen, Innocent Musonda and Molusiwa Ramabodu
Buildings 2022, 12(8), 1192; https://doi.org/10.3390/buildings12081192 - 9 Aug 2022
Cited by 11 | Viewed by 3354
Abstract
Though studies in construction robotics and human–robot teams research have explored varying themes, an in-depth study of the state-of-the-art of methodological paradigms appropriate for construction robotics research is hitherto lacking, taking into consideration that several studies have highlighted conflicting methodological components such as [...] Read more.
Though studies in construction robotics and human–robot teams research have explored varying themes, an in-depth study of the state-of-the-art of methodological paradigms appropriate for construction robotics research is hitherto lacking, taking into consideration that several studies have highlighted conflicting methodological components such as research design, methods, data sources, data types and analytical techniques. To better understand this underexplored area, this study uses a four-stage review approach utilising a scientometric and systematic analysis method based on 112 articles. Using statistical analysis to evaluate the relationship between research components, the study reveals strong associations between components of research methods, data sources and analytical techniques. Researchers are also increasingly looking to mixed paradigms in data sources and designs, highlighting a methodological plurality in construction robotics research. Implications on what this means for the future of construction robotics, policy and stakeholders are discussed in the study. Full article
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