Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55503
Title: Automated PPE misuse identification and assessment for safety performance enhancement
Authors: Dong, S
He, Q
Li, H 
Yin, Q
Issue Date: 2015
Publisher: American Society of Civil Engineers
Source: Y Wang, T Olofsson, GQ Shen & Y Bai (Eds.), ICCREM 2015 : environment and the sustainable building : proceedings of the 2015 International Conference on Construction and Real Estate Management, August 11-12, 2015, Luleå, Sweden, p. 204-214. Reston, Virginia: American Society of Civil Engineers, 2015 How to cite?
Abstract: The misuse (including nonuse) of personal protective equipment (PPE) directly catalyzes the changes from incidents to critical accidents and diseases. The main control over PPE use is visual inspections, which is time-consuming and its effectiveness depends largely on the observer's safety knowledge and experience, which often results in omissions or bias. To solve this problem, this study introduces a novel approach towards automated remote monitoring and assessing how the PPEs are worn. The real time location system (RTLS) and virtual construction are developed for worker's location tracking to decide whether the worker should wear helmet and give a warning, while the silicone single-point sensor is designed to show whether the PPE is used properly for further behavior assessment. The process of data synchronization and fusion of location coordinates and pressure data is described in detail and the system is tested in an open area experiment to prove its feasibility.
URI: http://hdl.handle.net/10397/55503
ISBN: 9780784479377
Appears in Collections:Conference Paper

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