IOT based air quality detection in truck cabins

Abstract

Air quality monitoring is an important tool for improving air quality, protecting public health, and ensuring compliance with regulations. It can also be used to identify pollution sources, monitor climate change, or support research and development. The goal is to identify the most significant sources and amounts of air pollution in truck compartments, with a focus on particles. Along with investigating how the design of the truck’s ventilation system and air purification equipment affects air quality, and developing a robust and effective methodology for measurement in traffic environments. Levels of air pollution were measured both inside and outside the truck cabin, as well as comfort parameters while driving in real traffic, during five extensive full-scale and a number of smaller, scaled-down measurement campaigns. The majority of the experiment was conducted in a truck cabin, which included a dusty environment, city driving, and a stationary road. LPG or butane concentrations of size resolved particles are measured using physical components. Simultaneously, the driver is alerted by calculating vital health characteristics such as heart rate, oxygen level, and so on. After experimentation with a real truck the project was able monitor the air quality and altering the driver by delivering the message.