Air Quality

Project description

“How can AI be used to predict the air quality to help people with respiratory problems?” 

The project goal is to help Stad van Morgen achieve better public health, air quality, and urban dynamics. The way to handle this is to help people with respiratory problems by predicting the amount of air pollution, so they can be warned. This will be predicted through a model that the project group will build by using deep learning models based on the data that has been collected. 

Sub-goals :

- To predict with artificial intelligence when the air quality is bad in certain areas, so people with respiratory problems could be warned.  
- To change the mindset of the people, operational reality, and lifestyle into one that does not pollute.  

Context

It has long been known that air quality is adversely affected by particulate matter and that residents with respiratory diseases in particular experience annoyance to severe annoyance from it. In the past, heavy industry and traffic in combination with little wind were pointed to as the main culprits. With stricter environmental requirements and the switch to gas as a fuel for industry and domestic heating, as well as the introduction of catalytic converters and particulate filters for traffic, this pollution has been greatly reduced, with the result that the burning of wood can now be regarded as the biggest polluter in densely built-up areas, and which bothers residents with respiratory diseases. A larger proportion of people find the smoke odor of wood burning annoying but there are no sensors on the market yet to measure smoke odor affordably and reliably.

Results

Products:
Research report
LSTM
SARIMA
Prophet
SVR
Project report

TR Level:
TRL 3 – experimental proof of concept