Internet of Things-Based Worker Physical Condition Monitoring
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Abstract
The weather conditions are uncertain, which impact performance, occupational health, and safety. To reduce the risk of fatal work accidents, the most important thing is to monitor the physical condition of workers. This research focuses on designing and implementing a real-time IoT-based system for monitoring the physical condition of workers. The system is based on three primary indicators: body temperature, heart rate, and Oxygen saturation. The MLX90164 sensor is used for measuring body temperature, while the GY-MAX30100 sensor is used for measuring heart rate and Oxygen saturation. ESP32 as a microcontroller, and then the data is displayed on the MQTT IoT Panel application on a smartphone and OLED display. The test was done to evaluate the performance of the sensor, device, and data transmission. The test results indicate that the system is running well in terms of network performance. The Quality of Service test for the MQTT Protocol indicated that QoS 0 achieved the highest throughput at 694,94 Kbps. In contrast, QoS 2 has the highest jitter and delay, measuring 4,11 ms and 4,007 ms respectively. There was no packet loss across all QoS levels. The device test also shows a low error value, which is below 4%.
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