Review on Sensing Technology Adoption in the Construction Industry

被引:29
作者
Arabshahi, Mona [1 ]
Wang, Di [2 ]
Sun, Junbo [3 ]
Rahnamayiezekavat, Payam [4 ]
Tang, Weichen [2 ]
Wang, Yufei [1 ]
Wang, Xiangyu [1 ]
机构
[1] Curtin Univ, Sch Design & Built Environm, Perth, WA 6102, Australia
[2] Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China
[3] Chongqing Univ, Inst Smart City Chongqing Univ Liyang, Liyang 213300, Peoples R China
[4] Western Sydney Univ, Sch Built Environm, Penrith, NSW 2751, Australia
关键词
sensing technologies; construction automation; construction performance; radio frequency identification; ultra-wideband technology; fiber optic sensing technology; ENGINEERED CEMENTITIOUS COMPOSITES; TIME LOCATING SYSTEMS; WIDE-BAND TECHNOLOGY; EARLY-WARNING SYSTEM; WEARABLE HEALTH; SENSOR NETWORKS; DATA-COLLECTION; SAFETY; WORKERS; TRACKING;
D O I
10.3390/s21248307
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Sensing technologies demonstrate promising potential in providing the construction industry with a safe, productive, and high-quality process. The majority of sensing technologies in the construction research area have been focused on construction automation research in prefabrication, on-site operation, and logistics. However, most of these technologies are either not implemented in real construction projects or are at the very early stages in practice. The corresponding applications are far behind, even in extensively researched aspects such as Radio Frequency Identification, ultra-wideband technology, and Fiber Optic Sensing technology. This review systematically investigates the current status of sensing technologies in construction from 187 articles and explores the reasons responsible for their slow adoption from 69 articles. First, this paper identifies common sensing technologies and investigates their implementation extent. Second, contributions and limitations of sensing technologies are elaborated to understand the current status. Third, key factors influencing the adoption of sensing technologies are extracted from construction stakeholders' experience. Demand towards sensing technologies, benefits and suitability of them, and barriers to their adoption are reviewed. Lastly, the governance framework is determined as the research tendency facilitating sensing technologies adoption. This paper provides a theoretical basis for the governance framework development. It will promote the sensing technologies adoption and improve construction performance including safety, productivity, and quality.
引用
收藏
页数:22
相关论文
共 194 条
[61]   Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges [J].
Hu, Tao ;
Wang, Siqin ;
She, Bing ;
Zhang, Mengxi ;
Huang, Xiao ;
Cui, Yunhe ;
Khuri, Jacob ;
Hu, Yaxin ;
Fu, Xiaokang ;
Wang, Xiaoyue ;
Wang, Peixiao ;
Zhu, Xinyan ;
Bao, Shuming ;
Guan, Wendy ;
Li, Zhenlong .
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2021, 14 (09) :1126-1147
[62]   Torsion design of CFRP-CFST columns using a data-driven optimization approach [J].
Huang, Hua ;
Xue, Chunliang ;
Zhang, Wei ;
Guo, Mengxue .
ENGINEERING STRUCTURES, 2022, 251
[63]   Experimental study of predamaged columns strengthened by HPFL and BSP under combined load cases [J].
Huang, Hua ;
Huang, Min ;
Zhang, Wei ;
Yang, Shilin .
STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2021, 17 (09) :1210-1227
[64]   Ultra-wide band technology experiments for real-time prevention of tower crane collisions [J].
Hwang, Seokyon .
AUTOMATION IN CONSTRUCTION, 2012, 22 :545-553
[65]   Wristband-type wearable health devices to measure construction workers' physical demands [J].
Hwang, Sungjoo ;
Lee, SangHyun .
AUTOMATION IN CONSTRUCTION, 2017, 83 :330-340
[66]   Wireless sensor networks configurations for applications in construction [J].
Ibrahim, Magdy ;
Moselhi, Osama .
CREATIVE CONSTRUCTION CONFERENCE 2014, 2014, 85 :260-273
[67]  
Jebelli H, 2017, COMPUTING IN CIVIL ENGINEERING 2017: SENSING, SIMULATION, AND VISUALIZATION, P99
[68]   Comprehensive Fall-Risk Assessment of Construction Workers Using Inertial Measurement Units: Validation of the Gait-Stability Metric to Assess the Fall Risk of Iron Workers [J].
Jebelli, Houtan ;
Ahn, Changbum R. ;
Stentz, Terry L. .
JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2016, 30 (03)
[69]   Upscaling evapotranspiration from the instantaneous to the daily time scale: Assessing six methods including an optimized coefficient based on worldwide eddy covariance flux network [J].
Jiang, Lei ;
Zhang, Baozhong ;
Han, Songjun ;
Chen, He ;
Wei, Zheng .
JOURNAL OF HYDROLOGY, 2021, 596
[70]   Broadband cancellation method in an adaptive co-site interference cancellation system [J].
Jiang, Yunhao ;
Li, Xin .
INTERNATIONAL JOURNAL OF ELECTRONICS, 2022, 109 (05) :854-874