Considering that the various industries where Wearable Sensing Devices (WSD) and the Internet of Things (IoT) have been greatly applied are not a high-risk industry like construction, a crucial need to build a real-time automated network using WSD and IoT technologies in the construction site. Currently, in the construction market, scheduling systems are not sensitive to worker’s health and safety issues, and share inherited drawbacks of less accurate progress documentation and inability to devise cost-effective recovery plans. Most, if not all, projects lack dynamic scheduling that considers the daily changes and progress delays, as well as the fatigue and the difficult work conditions of workers. Optimizing a construction schedule, therefore, is a complex problem due to a large number of tasks, options, stakeholders’ priorities, and conflicting constraints. With current advances in wearable devices and optimization technologies, this project aims to provide a low-cost system for automated monitoring of workers’ exposure to hazards and support better decisions for schedule fast-tracking and recovery. This should greatly help construction companies meet their objectives without overstressing construction workers. The project is funded by UW Interdisciplinary Trailblazer Fund.
Project team:
Tarek Hegazy, Principal Investigator
Plinio Morita, Principal Investigator
Zinab Abuwarda, Postdoctoral Fellow
Arlene Oetomo, PhD Student
Project members:
Plinio Morita, Principal Investigator
Last updated: October 14, 2020