Real Time Environmental Monitoring with Raspberry Pi 3B+ and MATLAB for Enhanced Worker Safety Through IoT

In industrial environments, ensuring worker safety through real-time environmental monitoring is crucial. This paper proposes an integrated system that combines Raspberry Pi and MATLAB through Internet of Things (IoT) technologies to enhance worker safety with MQ2 and MQ135 sensors. The system continuously monitors air quality by detecting various pollutants and hazardous gases. The MQ135 sensor detects a wider spectrum of gases, including ammonia, carbon dioxide, and carbon monoxide, and the MQ2 sensor, which measures gases including gases like smoke. Data collected from these sensors is processed in real-time using MATLAB, which facilitates advanced data analysis, visualization, and alert generation. The system's IoT capability allows for remote monitoring and control, providing timely notifications and ensuring a proactive approach to managing workplace safety. This solution offers a cost-effective, scalable approach to maintaining safe industrial environments for employee protection with potential for adaptation in various sectors.