Research and Application of Multi-modal Control and Adaptive Optimization System for Smart Home Appliances

1. Reduce labor and energy costs by more than 20%.

2. Improve user experience and product value, enhancing brand competitiveness.

3. Promote the development of the home appliance industry towards intelligence, high quality and sustainability.

1. Cooking algorithm optimization: Automatically match heating curves based on the type of ingredients, achieving high energy efficiency and excellent taste.

2. Sound field intelligent calibration: The six-axis calibration system keeps the low-frequency distortion rate within 0.5%, enhancing immersive audio effects.

3. Adaptive dimming: The learning lamp can adjust brightness and color temperature in real time according to ambient light, ensuring eye health.

4. Remote monitoring and management: Users can remotely control the operation status of household appliances and view historical records through the mobile app.

With technological advancements and消费升级， the smart home appliance industry is accelerating its development towards intelligence, high quality and personalization. Users not only focus on the basic performance of appliances, but also pay more attention to energy efficiency， usage experience and health functions. Taking traditional cooking， lighting and audio devices as examples， there are problems such as low energy efficiency， limited control options and insufficient interaction experience， which are difficult to meet the demands of high-end consumers. This project aims to utilize advanced control algorithms， sensor fusion and intelligent interaction technologies to achieve precise control and personalized optimization for different appliances， and to comprehensively enhance the user experience and market competitiveness of smart home appliances.