Description of Invention
This study presents an enhanced detection framework for fire and gas detection systems in high-risk environments like the oil and gas industry. The framework integrates a modified voting logic and calibrated thresholds for sulphuric gas, flame, and heat-sensitive cable systems. Simulation-based testing showed an 18% reduction in false alarm detections, improved H₂S detection efficiency, and reduced shutdown occurrences by 29.17%. The research establishes a scalable framework for future integration with adaptive voting and IoT technologies.