Assessment of Construction Workers’ Labor Intensity Based on Wearable Smartphone System
Publication: Journal of Construction Engineering and Management
Volume 145, Issue 7
Abstract
Construction jobs are more labor intensive than other industrial jobs. Safety problems caused by overworked bodies are common, and the supervision of construction workers is always flawed. In China, piecework has long been the common way to evaluate workers’ workloads, because it is always inconvenient to obtain direct indicators. To improve this situation, this paper proposes a method based on smartphone sensor acquisition and the concept of labor intensity to evaluate construction workers’ workloads. A sensor application based on the smartphone platform was created to effectively measure labor intensity so that the application could track construction workers’ movement data in an unobtrusive way. Moreover, preprocessing and a machine learning algorithm were used to classify 25 groups of experimental data. Then, the accuracy of the method was tested. It was shown that not only did the application meet the portability requirement, but its output also satisfied the accuracy requirement for supervising construction workers’ activity. The research presented in this paper can help construction organizations promote the intelligent management level of monitoring workers’ activity in real time and evaluating the workers’ whole-day workload.
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Data Availability Statement
Data generated or analyzed during the study are available from the corresponding author by request. Information about the Journal’s data-sharing policy can be found here: http://ascelibrary.org/doi/10.1061/(ASCE)CO.1943-7862.0001263.
Acknowledgments
The presented work is supported by the Fundamental Research Funds for the Central Universities of China (No. DUT18JC44).
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Published In
Journal of Construction Engineering and Management
Volume 145 • Issue 7 • July 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Jun 1, 2018
Accepted: Dec 3, 2018
Published online: Apr 30, 2019
Published in print: Jul 1, 2019
Discussion open until: Sep 30, 2019
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