Abstract:
Bangladesh is a rapidly growing country with a large population. This has led to an increase in the number of vehicles on the road, especially in the capital city of Dhaka. Paltan is a very crowded and busy area in Dhaka, and the majority of vehicles in this area run on conventional fuel. The goal of this research is to target these conventional fuel-based vehicles and the emissions that they produce which are polluntants. We aim to investigate how these pollutants affect the environment and on the health of individuals. To measure this impact, we will first need to develop a project that will allow us to monitor vehicle emissions and their concentration. IoT-based monitoring projects are ideal for this purpose. The main emissions from vehicles are carbon dioxide (CO2), carbon monoxide (CO), particulate matter (PM), sulfur oxides (SOx), and hydrocarbons (HC). CO2 and CO are the two main pollutants emitted by vehicles, and they contribute to air pollution. In this IoT project, we will store and analyze our data on ThingSpeak, which is an IoT analytical cloud platform. We will use an ESP32 module, gas sensors such as MQ-9 and MQ-135, and a humidity and temperature sensor (DHT11) to collect data on vehicle emissions. The key findings of the project will be compared with the Air Quality Index (AQI) for Bangladesh. This will allow us to assess the current condition of the environment in Paltan, Dhaka.
