Research on Power IoT System Based City Block Air Pollutant Emission Prediction

In order to constantly improve city environmental air quality, it is necessary accurately control the major pollutants emissions such as fine particulate matter. By adopting proposed iterative update framework of pollutant emission inventory, combined with block-level real-time electricity consumption data acquired by smart power IoT, and utilizing station-level hourly quality monitoring in specific areas Yuxi Dali Yunnan Province from 2020 2021, inventory prediction are studied. The experimental results shows that monthly average NO2/PM10/PM2.5 neighbourhoods two cities mentioned above reaches same accuracy level using numerical simulation methods, but computational requirements greatly reduced, making more suitable for application IoT. This study provides a new idea improving regulatory capacity intelligent environment achieving higher urban based on