Remote ControlThe app in a smartphone will give the user the authority to control the ThinkEco switch, which will control the air purifier.
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Smart Control With the atmel board, the air purifier will adjust its operation time to the real-time indoor air quality, such as dust, VOC, CO2, etc.
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Energy-efficiencyWith the machine learning algorithm, the purifier will improve the indoor air quality without much redundancy energy consumption.
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● Build a smart air purifier control system based on decay functions and real-time data of common pollutants from multiple sensors, such as VOC, CO2, dust, Formaldehyde, Ozone.
● Test the accuracy of decay functions on large dataset, and upload real-time data to keep adapting the model.
● Integrate more sensors regarding indoor air quality and add more common pollutants into the model.
● Design an IOS application that can allow users to control the air purifier if desired and also provides information about indoors air quality.
● Test the accuracy of decay functions on large dataset, and upload real-time data to keep adapting the model.
● Integrate more sensors regarding indoor air quality and add more common pollutants into the model.
● Design an IOS application that can allow users to control the air purifier if desired and also provides information about indoors air quality.
