Once dominated by Asian suppliers, global heating means more energy efficient air conditioning is becoming of more interest to global suppliers.
As a result, Infineon Technologies is demonstrating a smart air conditioning reference design with machine learning at the electronica trade fair in Munich next week. This combines Infineon’s discrete power MOSFETs with its wireless microcontrollers and time of flight sensors.
The intelligent air conditioner can analyze its environment and adjusts its performance accordingly. This is made possible by time of flight sensors and machine learning controllers which identify the location and number of people in a room on an anonymous basis. Using this information, the smart air conditioning system then regulates performance on a need-driven basis, modifying fan speed as well as swing scope.
The system also measures temperature and carbon dioxide concentration and air quality in order to decide when to infuse fresh and cool air. The machine learning also enables predictive maintenance so that operators receive up-to-date information on the condition of the device. The main interface is via remote control, thermostat, display, connectivity and voice control.
Edge processing is used to handle data locally and transmit only the necessary information to the cloud. This means crucial decisions can be made directly in the device for the AI.
“Semiconductors support the green and digital transformation in many, highly varied ways. They are the heart of every connected application,” says Dr. Peter Wawer, President of Infineon’s Industrial Power Control Division. “One impressive example of this is an intelligent air conditioning system which can ‘see’, ‘hear’ and ‘feel’ its surroundings. It only cools when it really has to. This raises the level of comfort for the people in a room while at the same time reducing the amount of energy consumed.”
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