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Plotting IAQ data obtained from a sample dataset generated by IoT sensors.

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Visualizing Indoor Air Quality

  • Plotting IAQ data obtained from sample dataset generated by Honeywell Indoor Air Quality Detector.

  • Measurements:

    • PM2.5 ~ [μg/m3]
    • Temperature ~ [°C]
    • Humidity ~ [%]
  • Dividing data points depending on the health level of the corresponding IAQ index. For this process the following table was utilized.

    PM2.5 AQI Health Level
    0.0 ~ 15.4 0 ~ 50 Good
    15.5 ~ 40.4 51 ~ 100 Moderate
    40.5 ~ 65.4 101 ~ 150 Unhealthy for sensitive groups
    65.5 ~ 150.4 151 ~ 200 Unhealthy
    150.5 ~ 250.4 201 ~ 300 Very unhealthy
    250.5 ~ 350.4 301 ~ 400 Hazardous
    350.5 ~ 500.4 401 ~ 500 Hazardous
  • A highlight demonstrating the plots produced is available below:

IAQ Data.

References

[1] https://github.com/SophonAlpha/visualise-IAQ-data

[2] https://ieeexplore.ieee.org/document/6907986

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