TY - JOUR
T1 - Automated PPE-Tool pair check system for construction safety using smart IoT
AU - Yang, Xincong
AU - Yu, Yantao
AU - Shirowzhan, Sara
AU - Sepasgozer, Samad
AU - Li, Heng
N1 - Funding Information:
This research study was partially supported by The Hong Kong Polytechnic University , the General Research Fund ( GRF ) Grant ( https://www.sciencedirect.com/science/article/pii/S0926580519304066 BRE / PolyU 152099/18E) entitled “Proactive Monitoring of Work-Related MSD Risk Factors and Fall Risks of Construction Workers Using Wearable Insoles” and the project ( https://www.sciencedirect.com/science/article/pii/S0926580519304066 PolyU 152047/19E) entitled “In search of a suitable tool for proactive physical fatigue assessment: an invasive to non-invasive approach”.
Publisher Copyright:
© 2020 Elsevier Ltd
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/11
Y1 - 2020/11
N2 - Construction hand tools have been widely used in the construction industry. These tools have changed the building methods and improved the construction productivity significantly, but they have also been recognized as one of the hazardous factors leading to occupational diseases and workplace injuries if they are used without proper personal protective equipment (PPE). This paper aims to develop an automated PPE-Tool pair checking system using the internet of things (IoT) with wireless Wi-Fi modules tagged on the PPE. The distributed system warns the user and safety officer if the tool user does not wear the required PPE items. The sensors used in PPE contain photoresistors, optical sensors, force stretchable resistors, and touch sensors, which are embedded with near real time data processing algorithms for proper wearing detection. The wearing states are then transmitted wireless to an online website and updated real-time in a cloud database in a way that multiple users can get access and visit the states. Simultaneously, alerts with sound and vibration and emergency stops are also sent to the workers through the construction hand tools they hold. The proposed system in this paper has been implemented and tested in a lab experiment. The results show that the average time lag between actual non-wearing actions and corrective warning actions was 1.229 s, which is acceptable and the authors believe that the proposed system is efficient and effective to enhance the safety management of on-site construction activities with hand tools.
AB - Construction hand tools have been widely used in the construction industry. These tools have changed the building methods and improved the construction productivity significantly, but they have also been recognized as one of the hazardous factors leading to occupational diseases and workplace injuries if they are used without proper personal protective equipment (PPE). This paper aims to develop an automated PPE-Tool pair checking system using the internet of things (IoT) with wireless Wi-Fi modules tagged on the PPE. The distributed system warns the user and safety officer if the tool user does not wear the required PPE items. The sensors used in PPE contain photoresistors, optical sensors, force stretchable resistors, and touch sensors, which are embedded with near real time data processing algorithms for proper wearing detection. The wearing states are then transmitted wireless to an online website and updated real-time in a cloud database in a way that multiple users can get access and visit the states. Simultaneously, alerts with sound and vibration and emergency stops are also sent to the workers through the construction hand tools they hold. The proposed system in this paper has been implemented and tested in a lab experiment. The results show that the average time lag between actual non-wearing actions and corrective warning actions was 1.229 s, which is acceptable and the authors believe that the proposed system is efficient and effective to enhance the safety management of on-site construction activities with hand tools.
KW - Construction safety management
KW - Hand tools
KW - Internet of things
KW - Personal protective equipment
KW - Wearing sensors
UR - http://www.scopus.com/inward/record.url?scp=85091601011&partnerID=8YFLogxK
U2 - 10.1016/j.jobe.2020.101721
DO - 10.1016/j.jobe.2020.101721
M3 - Journal article
AN - SCOPUS:85091601011
SN - 2352-7102
VL - 32
JO - Journal of Building Engineering
JF - Journal of Building Engineering
M1 - 101721
ER -