TY - GEN
T1 - Comprehensive IoT-Based Monitoring System for Improving Worker's Health and Safety at the High-Risk Working Environment
AU - Benny, Wan Jasmine
AU - Chew, Ing Ming
AU - Wong, W. K.
AU - Sivamkumar, Saaveethya
AU - Juwono, Filbert H.
AU - Tiong, Teck Chai
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - For all engineering endeavours, workplace safety comes as a top priority. Even with careful planning, accidents and fatalities still occur due to little mitigation in place or personnel on duty cannot be continuously monitored. This research project uses wearable devices, which are enabled by IoT technologies, to monitor physiological and environmental variables in real-time mainly applied to the Hazardous Area Zone 2, which is unlikely to cause an explosion in the existence of dangerous gases. SpO2 and heart rate measurements are categorized under the physiological monitoring approach, whereas AQI, combustible gas, and temperature measurements are categorized under the environmental monitoring approach. To reflect the different levels of health and safety problems, the design is adopted with the safety measurements, and the conditions are then displayed on the Blynk application dashboards. The analysis's findings demonstrate the effectiveness of both physiological and environmental monitoring because erroneous readings will activate warning LEDs on the dashboards and convey an alert message to the line manager. However, this research project still could be extended and upgraded by implanting machine learning, displaying the battery level of the devices and monitoring more workers at the same time in the high-risk environment for the massive production lines.
AB - For all engineering endeavours, workplace safety comes as a top priority. Even with careful planning, accidents and fatalities still occur due to little mitigation in place or personnel on duty cannot be continuously monitored. This research project uses wearable devices, which are enabled by IoT technologies, to monitor physiological and environmental variables in real-time mainly applied to the Hazardous Area Zone 2, which is unlikely to cause an explosion in the existence of dangerous gases. SpO2 and heart rate measurements are categorized under the physiological monitoring approach, whereas AQI, combustible gas, and temperature measurements are categorized under the environmental monitoring approach. To reflect the different levels of health and safety problems, the design is adopted with the safety measurements, and the conditions are then displayed on the Blynk application dashboards. The analysis's findings demonstrate the effectiveness of both physiological and environmental monitoring because erroneous readings will activate warning LEDs on the dashboards and convey an alert message to the line manager. However, this research project still could be extended and upgraded by implanting machine learning, displaying the battery level of the devices and monitoring more workers at the same time in the high-risk environment for the massive production lines.
KW - environmental measurement
KW - IoT-based micro-controller
KW - physiological measurement
KW - safeness metric
KW - workplace safety
UR - http://www.scopus.com/inward/record.url?scp=85190375374&partnerID=8YFLogxK
U2 - 10.1109/GECOST60902.2024.10474774
DO - 10.1109/GECOST60902.2024.10474774
M3 - Conference Proceeding
AN - SCOPUS:85190375374
T3 - 2024 International Conference on Green Energy, Computing and Sustainable Technology, GECOST 2024
SP - 87
EP - 93
BT - 2024 International Conference on Green Energy, Computing and Sustainable Technology, GECOST 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 International Conference on Green Energy, Computing and Sustainable Technology, GECOST 2024
Y2 - 17 January 2024 through 19 January 2024
ER -