Abstract: With the rapid development of the social economy and the improvement of people's living standards, water heaters have become a necessity for public life, and the current number of water heaters exceeds 350 million. Water heaters are household appliances with high energy consumption. How to reduce energy consumption and reduce carbon emissions is a technical issue faced by smart home water heaters. Simple intelligent control cannot bring new development opportunities to the industry. Integrate with AI technology, combine knowledge graph capabilities with machine self-learning, and build a control system based on knowledge graphs with self-learning capabilities. Electricity data, automatically adjust the operation mode of the equipment, so that the intelligent water heater always automatically runs in the best energy-saving mode. The State Grid data provides peak and valley electricity data in different regions, the knowledge map improves the variable factors of the self-learning algorithm, and the AI technology improves the user interaction experience of the device. The combination of the control system and the algorithm realizes the application of low-carbon technology in smart water heaters, providing a new direction and growth momentum for the green development of the household appliance industry.

Key words: Knowledge graph, Habit learning, Carbon neutrality, Water heaters