Design and implementation of voice-controled intelligent fan system based on machine learning

Based on STC89C51 microcomputer, this paper designs a voice-controlled intelligent fan system. The system takes STC89C51 as the core data processing module, and has infrared pyroelectric induction module, temperature sensor module and key control module. After the system is powered on, the voice instructions are recognized by KMSKNN/NaiveBayes algorithm. The microcomputer drives the fan motor according to the instructions. When there is no voice command, the system can detect whether there are people in the room through the infrared pyroelectric sensor, detect the ambient temperature in real time through the temperature sensor, automatically control the fan switch and speed, and display the current temperature and fan speed on the LCD. The system has high speech recognition accuracy and stable performance, and has strong practicability in modern intelligent life.