This project aims to develop a smart home environment monitoring system that integrates electronic nose technology, thermal imaging technology, and AI-based big data analysis. Its key focus is addressing home safety issues, including natural gas/carbon monoxide leakage alarm, indoor air quality monitoring, and remote safety management. Equipped with high-precision gas sensors, the system enables continuous detection of concentrations of combustible gases (e.g., methane, carbon monoxide) as well as pollutants like formaldehyde and PM2.5. Through AI-based analysis of data trends, it achieves the functions of "real-time detection - intelligent alerts - risk early warnings". When the system detects anomalies, it immediately triggers an alarm, sends notifications to family members, and activates emergency responses. Additionally, the project can also issue multiple early warnings for scenarios such as "person away but fire/unattended heat source left on", falls of the elderly, abnormal body temperature, and prolonged bed absence of the elderly at night.