In an effort to help reduce air pollution, Kutluhan Aktar, a self-taught full-stack developer, has built a custom weather station that can predict the air quality index (AQI) of a region. depending on current weather conditions. The developer used various low-cost equipment to build the weather station which can calculate ground-level ozone concentration to predict air pollution in the environment. Let’s take a look at the details.
Developer builds low-cost weather station to predict AQI
Aktar, who recently pursued research into air quality and pollution, realized that current weather forecasting systems disregard tropospheric ozone concentration when monitoring the weather of an environment. As a result, he then built a DIY weather station using relevant sensors and a Raspberry Pi 4 that can monitor the ground-level ozone concentration in an environment and predict the air quality index. You can watch him work on the recent Aktar Youtube video.
For those unaware, ground-level ozone forms when nitrogen oxides (NOx) from sources such as vehicle exhaust react with organic compounds in the presence of heat and light. solar. A high concentration of ozone in the environment can cause breathing difficulties, trigger asthma attacks and damage our respiratory systems.
How was it made?
Due to these problems, Aktar built a homemade weather station to monitor and predict air pollution. He used a Arduino Nano 33 board to collect data set from his balcony. Then he sent the data to a Raspberry Pi 4 which was set up inside via Bluetooth. By combining the data with the local air quality index, Aktar trained an artificial neural network based on TensorFlow Kera H5 to predict outdoor air quality based on current weather conditions and ozone data.
The neural network data was converted to C array using custom application which runs on the Arduino Nano board, which sits inside a 3D printed weather station next to the ozone sensor and anemometer.
With the help of the above, the weather station can display the data on a screen which is collected by the sensors. These include ozone concentration, wind speed, temperature, atmospheric pressure and altitude. Apart from that, the weather station can also generate a graphical representation showing its air quality prediction. It can display the AQI prediction as “good”, “moderate” or “unhealthy”.
If you are a developer and want to create your own AQI prediction weather station, Aktar has provided an in-depth guide, with a list of necessary tools and software applications. Check it out to build your own low cost weather station at home. Also, let us know your thoughts on this amazing project in the comments below!