Smart Air pollution detection and purification system

With the continuous increase in industrialization and technology. Air pollution has been a major menace thereby causing climatic change and global warming. This scenarios cause for the melting of ice in the polar regions thereby releasing deadly diseases in the environment.

Our solution hopes to solve the problem of air pollution. Air pollution has been a menace when it comes to climate change and the quality of life. We know the major outdoor Air pollutants are

1. Ozone (O3)

2. Nitrogen Oxides (NOx)

3. Carbon Monoxide (CO)

4. Sulphur Dioxide (SO2)

5. Particulate Matter(PM10 and PM2.5)

We will be designing an air purification system that contains a solvent dispersal system which will dissolve some of the air pollutants.

We understand and believe the air pollutants are mostly solutes. Which means they can be easily dissolved in a solvent. We will be interfacing Natural and Toxic gas detection sensors. We will also classify the available pollutants using Machine learning models. So our device can easily detects pollutants in the air. Which is different from existing technologies. Our solution is useful because every household and offices would need an air Purification systems. And we can also design an industrial version of it for industries.

Our solution detects various gasses using it's sensors then classify them. We have a designed a solvent that would be able to dissolve some this air pollutants. Quick feather and SensiML AI will be the brains and controller of the system. They classify the gases from the sensors and activate a relay for the solvents to be released into the air in the form of mist. The solvents is totally harmless to human.

The software's and hardware we will be using includes.....

1. quick feather development kit.

2. SensiMl Al software Bundle

2. Skikit-learn (Numpy, and Scipy) libraries for data classification

3. Tensor flow and open CV

4. Mq2 detector sensor

5. Cl2 detector sensor

6. purication solvents.

7. Relay module

MOVING FORWARD>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>

I'll be using an MQ2 sensor, thats the only sensor readily available for now.

The MQ-2 sensor can detect or measure gases like LPG, Alcohol, Hydrogen,CO and methane. for this project we would be focusing more on CO,LPG and methane.

Since we are looking for some accuracy, measuring the PPM would be the best way to go with it. This will help us to distinguish one gas from another.

Using PPM helps us to distinguish one gas from another. The proceedure to measure PPM is thesame but few constant values will vary based on the type of MQ sensor used. Basically we need to look into the (Rs/Ro) vs PPM graph given in the datasheet

Ro =. Value of resistance in fresh air

Rs = Value of resistance in gas concentration

Resistance of sensor(Rs): Rs =(Vc/VRL-1) * RL

METHODS

I've came up with two ways to complete this project, but i needed the best results for energy efficiency.

1. Using an Arduino microcontroller connected to to generate the PPM for each pollutant on a CSV file and uploading it to the Analytics studio toolkit for further analysis and classification

2.