Automated PPE-Tool pair check system for construction safety using smart IoT
Published in Journal of Building Engineering, 2020
Recommended citation: **Yang, X.**, Yu, Y., Shirowzhan, S., sepasgozar, S., & Li, H.* (2020). Automated PPE-Tool pair check system for construction safety using smart IoT. Journal of Building Engineering, 32, 101721. doi:10.1016/j.jobe.2020.101721 https://www.sciencedirect.com/science/article/pii/S23527102203335445
Highlights
- This paper presents a new method for PPE-Tool pair check to prevent injuries by dangerous hand tools.
- The method integrates various sensors and Wi-Fi modules for PPE wearing detection, data transition, and alarm treatment.
- A prototype was developed, and an online dashboard was built to validate the proposed method in a lab experiment.
- The experiment results showed that average time lag was 1.229s, which was efficient for on-site safety management.
Abstract
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.
Keywords
Construction safety management; Hand tools; Personal protective equipment; Wearing sensors; Internet of things