Journal
APPLIED SCIENCES-BASEL
Volume 11, Issue 10, Pages -Publisher
MDPI
DOI: 10.3390/app11104342
Keywords
mine safety; smart helmet; personnel proximity warning system; Bluetooth beacon; Arduino
Categories
Funding
- National Research Foundation of Korea (NRF) - Korea government (MSIT) [2021R1A2C1011216]
- National Research Foundation of Korea [2021R1A2C1011216] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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The smart helmet-based wearable personnel proximity warning system uses Bluetooth beacons to transmit signals, providing visual LED warnings to pedestrians and operators simultaneously. The system was tested in an underground limestone mine, showing that the Bluetooth low energy signal detection distance can reach at least 10 meters regardless of the facing angle between the smart helmet and Bluetooth beacon.
A smart helmet-based wearable personnel proximity warning system was developed to prevent collisions between equipment and pedestrians in mines. The smart helmet worn by pedestrians receives signals transmitted by Bluetooth beacons attached to heavy equipment, light vehicles, or dangerous zones, and provides visual LED warnings to the pedestrians and operators simultaneously. A performance test of the proposed system was conducted in an underground limestone mine. It was confirmed that as the transmission power of the Bluetooth beacon increased, the Bluetooth low energy (BLE) signal detection distance of the system also increased. The average BLE signal detection distance was at least 10 m, regardless of the facing angle between the smart helmet and Bluetooth beacon. The subjective workload for the smartphone-, smart glasses-, and smart helmet-based proximity warning system (PWS) was evaluated using the National Aeronautics and Space Administration task load index. All six workload parameters were the lowest when using the smart helmet-based PWS. The smart helmet-based PWS can provide visual proximity warning alerts to both the equipment operator and the pedestrian, and it can be expanded to provide worker health monitoring and hazard awareness functions by adding sensors to the Arduino board.
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