Enhanced Workplace Safety Through Digital Monitoring and Sensors Around Oil Facilities

Abstract The oil and gas industry is inherently hazardous, with workers exposed to risks such as equipment malfunctions, toxic gas emissions, and fires. Traditional safety measures such as manual inspections and incident reporting are slow, labor-intensive, and lack real-time responsiveness, which is critical in detecting and addressing the presence of dangerous gases. This paper presents a novel, automated air quality monitoring system designed to enhance workplace safety by providing efficient and real-time detection of toxic gas emissions. The system utilizes an ATmega328P microcontroller integrated with MQ-135 and MQ-136 sensors to continuously monitor the concentration of harmful gases, including carbon monoxide, carbon dioxide, toluene, ammonia, acetone, alcohol, and hydrogen sulfide within the facility. When gas concentrations exceed safe thresholds, the system automatically triggers an alarm to alert the control center and initiates an emergency response until the situation is mitigated. The monitoring system operates independently of cloud-based infrastructure, ensuring low latency and reliability in critical environments. A custom C++ program, developed using the Arduino IDE, facilitates communication between the microcontroller and sensors, enabling seamless data processing and response automation. This research effort demonstrates the effectiveness of the proposed system in maintaining workplace safety, reducing downtime, and preventing injuries by ensuring continuous control of toxic gas emissions in oil and gas facilities.