LoRa Based IoT Enabled Wearable Sensor Network for Safety and Health Monitoring in Sewage Environment

Nowadays, sewage cleaning workers are often exposed to hazardous gases and environmental conditions that can negatively impact their health and safety. The current methods of detecting and monitoring gas levels and worker health frequently depend on manual inspections, a process which is time-consuming and susceptible to human error. Therefore, there is a need for an automated system using wearable devices that can continuously monitor gas levels and the health of sewage workers in real-time. For monitoring several environmental and physiological factors, the paper proposes an IoTbased wearable sensor. The approach employs three types of sensors namely MQ2, MQ135 and a pulse sensor. LoRa communication protocol is utilized for data transmission and communication. In the proposed approach two ESP32 microcontrollers are used, in which one ESP32 acts as central node and the other node act as a worker node. The environmental and physiological parameters are sensed and collected from the worker node. The sensed data is forwarded to the central node, using LoRa communication module. The harmful conditions of the sewage workers are detected and notified by the central node to the worker node, by means of buzzers and emails. This helps in taking crucial measures avoiding life-threatening incidents. The health condition of the sewage worker is also sent to nearby medical center, to take immediate action if there is any impact of harmful gases. The existing approaches are not effective as they are vulnerable to dangerous gas exposure. Overall, the proposed system has the potential to revolutionize safety and health monitoring in industrial environments. From the results obtained, it is understood that the proposed system will be suitable for real time risky environment like sewage systems to save the lives of the sewage workers.