A novel approach to real-time environmental monitoring and automated air quality enhancement using smart nanostructured sensors with adaptive data processing

This paper defines the development of an enhanced and accurate real-time environment monitoring and Air quality control system utilizing smart Nano-sensors. The sensors were given improved nanomaterials for instance, graphene and more metal oxides for a better response when identifying various gaseous pollutants as well as gases in the air including Nitrogen Dioxide (NO2), Carbon Dioxide (CO2) and Volatile Organic Compounds (VOC’s). These sensors were incorporated to a system in form of an air pollution monitoring and control system that could immediately analyze data and respond to it. Before the outcome was obtained, field tests were carried out in many cities, and all of them recorded low pollution levels better air quality. Also, there is an environmental and sustainability perspective which proved that this idea can be used as the further strategy of regulating air quality and would meet the requirements of the law. Thus, the conclusions that can be drawn from the analysis of the results demonstrate the advantage of this approach in terms of systematic environmental management and predictive air quality control.