Abstract: With the improvement of people's living standards, the requirements for the kitchen environment are becoming more and more stringent, and the traditional wind speed control method of range hood is difficult to adapt to the dynamic change of oil fume volume during cooking, resulting in poor oil fume treatment efficiency and serious energy waste. Develop an AI control system for the dynamic wind speed of range hoods. With the help of advanced AI technology, the environmental parameters in the cooking process can be monitored and accurately analyzed in real time, so as to realize the intelligent and dynamic control of the wind speed of range hoods. By comparing and screening various AI algorithms, the long-term and short-term memory network (LSTM) algorithm is selected to build the core model, and a series of work such as data collection, preprocessing, training and optimization are carried out around this model. Experiments show that the system has a wind speed regulation accuracy of over 90%, which can significantly enhance the effect of oil fume extraction and effectively reduce the concentration of PM_2.5. It creates a healthier, more comfortable and energy-efficient kitchen environment for users, demonstrating broad application prospects in the field of smart home.

Key words: Range hood, Dynamic wind speed, AI control system, LSTM algorithm, Smart kitchen