Abstract: This study designed an algorithm based on infrared temperature measurement technology to detect dry burning in integrated stoves and take appropriate actions. Experimental results validated the efficiency and reliability of this algorithm, demonstrating that it can accurately distinguish between normal cooking and dry burning under different pot materials and heat settings by setting temperature thresholds and temperature change rates. Compared to traditional methods, it significantly enhances detection accuracy and response speed, reducing the possibility of false alarms. This provides a safer and more convenient solution for dry-burning prevention in integrated stoves. In the future, integrating data from multiple sensors could further optimize detection accuracy, ensuring user safety and enhancing the user experience.

Key words: Infrared temperature measurement, Integrated stove, Dry burning detection, Temperature monitoring, Algorithm research