With the goal of reducing air pollution, self-taught full-stack developer Kutluhan Aktar has built a custom meteorological station that can predict the regional air quality index (AQI) based on current weather conditions. The developers have built a meteorological station that can calculate ground-level ozone concentrations and predict environmental air pollution using a variety of low-cost equipment. Let’s take a look at the details.
Developers build low-cost meteorological stations to predict AQI
Recently, Aktar, who pursued research papers on air quality and pollution, became aware of current weather forecasting systems. Do not consider tropospheric ozone concentration When monitoring the weather in the environment. As a result, he built a DIY meteorological station using relevant sensors and a Raspberry Pi 4 that can monitor ground-level ozone concentrations in the environment and predict air quality indexes. You can see it working on Aktar’s recent YouTube videos.
For strangers, ground-level ozone is formed when nitrogen oxides (NOx) from sources such as vehicle exhaust react with organic compounds in the presence of heat and sunlight. High levels of ozone in the environment can cause respiratory distress, asthma attacks, and damage to the respiratory system.
How was it made?
Due to these problems, Aktar has built a homemade meteorological station to monitor and predict air pollution.He used Arduino Nano 33 board for collecting datasets From his balcony.He then I sent the data to Raspberry Pi4 It was set up indoors via Bluetooth.Combine data with regional air quality index Aktar Trained TensorFlow Kera H5-based artificial neural network Predict the quality of the outside air based on current weather conditions and ozone data.
Neural network data Convert to C array using custom build application This is done on the Arduino Nano board in the 3D printed meteorological station next to the ozone sensor and anemometer.
With the help mentioned above, meteorological stations can display the data on the screens collected by the sensors. These include ozone concentration, wind speed, temperature, barometric pressure, and altitude.Besides this, there is also a weather station Generates a graphic representation that shows predictions of air quality.. You can view the AQI prediction as “good,” “moderate,” or “unhealthy.”
If you are a developer and are interested in creating your own AQI Predictive Meteorological Observatory, Aktar provides a detailed guide with a list of the tools and software applications you need for it. Check it out to build your own low cost meteorological station at home. Also, let us know your thoughts on this amazing project in the comments below!