Recommended
More Related Content
Similar to Portable Air Quality Monitor
Similar to Portable Air Quality Monitor (20)
Recently uploaded
Recently uploaded (20)
Portable Air Quality Monitor
- 1. Portable Air Quality Monitor Md Mazedul Islam Khan
- 2. Why? • Lung cancer: 29% • Stroke: 24% • Heart desease: 25% • 92% of world population cannot breathe safe air.
- 3. Literature review • Device attached to lamp posts or cars.
- 4. Proposed smart system • Portable/wearable air pollution monitoring tool. • Notify the user to wear a mask or get inside in real-time. • Heatmap of air quality for the visited areas. • Share the data to responsible organization.
- 5. Requirements Portability is the main key Notification Power efficient for whole day use Affordable for everyone Detect multiple polluted particles in the air Visual interface
- 6. Harmful pollutants PARTICULATE MATTER PM2.5, PM10 OZONE O3 NITROGEN DIOXIDE NO2 SULPHUR DIOXIDE SO2 CARBON MONOXIDE CO
- 7. Air quality index 𝐼 = 𝐼ℎ𝑖𝑔ℎ − 𝐼𝑙𝑜𝑤 𝐶ℎ𝑖𝑔ℎ − 𝐶𝑙𝑜𝑤 𝐶 − 𝐶𝑙𝑜𝑤 + 𝐼𝑙𝑜𝑤 Where, • 𝐼 = Index of pollutant • 𝐼ℎ𝑖𝑔ℎ = AQI value corresponding to 𝐶ℎ𝑖𝑔ℎ • 𝐼𝑙𝑜𝑤 = AQI value corresponding to 𝐶𝑙𝑜𝑤 • 𝐶 = Truncated concentration of pollutant 𝐼 • 𝐶ℎ𝑖𝑔ℎ = Concentration breakpoint (i.e., greater than or equal to 𝐶) • 𝐶𝑙𝑜𝑤 = Concentration breakpoint (i.e., less than or equal to 𝐶)
- 8. Ozone SPEC Sensor (O3) Module - 968-046 • Measures O3 from a range of 0-5ppm. • Accurate to ±15% with a Resolution of < 20 ppb. • Response time <30 seconds. • Supply Voltage: 2.6 – 3.6V. • Input Current: 0.05 – 4mA.
- 9. Carbon Monoxide SPEC Sensor (CO) Module - 968-001 • Measures CO from a range of 0-1000ppm. • Accurate to < ±15% with a Resolution of 0.1ppm. • Response time < 30 seconds. • Supply Voltage: 2.6 – 3.6V. • Input Current: 0.05 – 4mA.
- 10. Nitrogen Dioxide SPEC Sensor (NO2) Module - 968-047 • Measures NO2 from a range of 0-20 ppm. • Accurate to < ±15% with a Resolution of 20 ppb. • Response time <30 seconds. • Supply Voltage: 2.7 – 3V. • Input Current: 5 – 15 μA.
- 11. PyCom FiPy • Wide range of comms protocols support on-chip • BLE • Lora • Sigfox • Wi-Fi (1KM range) • Portable • Affordable
- 12. GPS module
- 13. Results
- 15. Consideration • Machine learning technique to predict AQI for certain areas. • Different modes to save power: • Power-saving mode • Pro mode • Ultra power mode
- 16. Discussion
Editor's Notes
- Good afternoon everyone. I am Mazedul. My idea is work on a smart air pollution sensing system to make a portable air quality monitoring tool.
- The world health organisation believes that 29% of lung cancer, 24% of stroke, and 25% of heart disease deaths are due to air pollution. 92% of world’s population cannot breathe safe air. So, it will be much easier to carry a portable air quality monitoring tool that will warn the user when the air is heavily polluted.
- When I was researching on this topic, I found tons of research were already done. People were setting up the air pollution detection device on lamp posts in specific junctions, setting up in a car and rickshaw to detect air pollution level on specific cities. However, those weren’t very ideal for everyone but for specific organisation.
- The proposed idea to make the device portable. In this way, anyone can have the device to know the current air pollution level on particular areas. If the pollution levels are extremely high, the device will notify the user immediately, prompting for an action such as put a mask on or get inside. Thus, one purpose of the device will act as an alarm. Additionally, the device will collect data constantly throughout the day and forward the data to a mobile application. Governmental organisation or healthcare could also use the data to take further actions. The user could see the heatmap of the polluted area that has been in the day.
- The device needs to be portable or wearable. It needs to be power efficient. Price should be affordable. It shall detect multiple particles in the air. Visual interface to manage the device easily by the user.
- According to WHO, these are the five standard air pollutants that should be measured when measuring air quality index. All of these are very harmful for human body. Particulate matter (PM2.5, and PM10), Ozone (O3), Nitrogen dioxide (NO2), Sulphur dioxide (SO2), and Carbon Monoxide (CO).
- Air quality index is also known as AQI which is used by the government organisation to measure the air pollution level. This measurement may vary slightly depending on the region. Different region has different rules to measure the air quality index but this is a standard one.
- To detect these harmful pollutants particle from air, the following sensors are proposed
- As a microcontroller of choice for the prototype, PyCom FiPy was selected due to it’s power efficiency and built-in support for wide-range of connection modules.
- A GPS module is also proposed to detect the current location. The data will be stored locally in a JSON file. Once the data is transferred to the mobile app, different charts will be shown to visualise the data.
- The mobile application sill show the data through a heatmap and several charts. For example, Nitrogen dioxide vs time, Ozone vs time, Heatmap of visited polluted area. The heatmap shows the last several visited places air pollution level.
- https://www.curiejet.com/en/product/air-quality-monitor/wearable-pm25-air-quality-monitor There are a few portable air pollution monitoring tool already out in the market but those aren’t either has a mobile app, or lack of portability. Additionally, I found a company that is also working something like this but their product isn’t on the market yet.
- Why the paper? The idea of the paper is nice and effective for everyone. It contributes to the society to improve health. Not only that but the project usage smart system sensors that will help me for my study. Additionally, the idea is something that I can implement as well.