Sensing and warning-based technology applications to improve occupational health and safety in the construction industry

Author:

Antwi-Afari Maxwell FordjourORCID,Li Heng,Wong Johnny Kwok-Wai,Oladinrin Olugbenga Timo,Ge Janet XinORCID,Seo JoonOh,Wong Arnold Yu Lok

Abstract

Purpose Sensing- and warning-based technologies are widely used in the construction industry for occupational health and safety (OHS) monitoring and management. A comprehensive understanding of the different types and specific research topics related to the application of sensing- and warning-based technologies is essential to improve OHS in the construction industry. The purpose of this paper is to examine the current trends, different types and research topics related to the applications of sensing- and warning-based technology for improving OHS through the analysis of articles published between 1996 and 2017 (years inclusive). Design/methodology/approach A standardized three-step screening and data extraction method was used. A total of 87 articles met the inclusion criteria. Findings The annual publication trends and relative contributions of individual journals were discussed. Additionally, this review discusses the current trends of different types of sensing- and warning-based technology applications for improving OHS in the industry, six relevant research topics, four major research gaps and future research directions. Originality/value Overall, this review may serve as a spur for researchers and practitioners to extend sensing- and warning-based technology applications to improve OHS in the construction industry.

Publisher

Emerald

Subject

General Business, Management and Accounting,Building and Construction,Architecture,Civil and Structural Engineering

Reference43 articles.

1. Distributed sensing of a masonry vault during nearby piling;Structural Control and Health Monitoring,2017

2. An in-depth review: structural health monitoring using fiber optic sensor;Institution of Electronics and Telecommunication Engineers Technical Review,2012

3. Smartphone-based construction workers’ activity recognition and classification;Automation in Construction,2016

4. Effects of different weight and lifting postures on postural control during repetitive lifting tasks;International Journal of Building Pathology and Adaptation,2017

5. Biomechanical analysis of risk factors for work-related musculoskeletal disorders during repetitive lifting task in construction workers;Automation in Construction,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3