E6765 IoT Project Group Mon3​Air Quality Monitor
  • Home
  • Abstract
  • Overview
  • State of the Art
  • Detailed Description
    • Hardware
    • Cloud Computing
    • Experiments
    • Data Analysis and Visualization
  • Results
  • Future Work
  • Conclusion
  • References
  • Appendix A
  • Appendix B
  • Photo Gallery
  • Contacts
  • Home
  • Abstract
  • Overview
  • State of the Art
  • Detailed Description
    • Hardware
    • Cloud Computing
    • Experiments
    • Data Analysis and Visualization
  • Results
  • Future Work
  • Conclusion
  • References
  • Appendix A
  • Appendix B
  • Photo Gallery
  • Contacts
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YOUR CART

Future Work

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Remote Control

The 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-efficiency​

With 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.

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