LED / Real-time dust/ultrafine dust prediction system based on meteorological factors and air pollutants using active reaction LED sculptures

摘要

Based on meteorological factors and air pollutants, it predicts the most important fine dust and ultrafine dust among air pollutants through machine learning, and displays the predicted information using active-reactive LED sculptures, making it easy for children and adolescents as well as the general public. A real-time fine dust/ultra-fine dust prediction system based on meteorological factors and air pollutants using active reactive LED sculptures that enable recognition of dust and ultra-fine dust prediction information, and is a factor for predicting fine dust and ultra-fine dust. A predictor collection unit that collects the data, a preprocessing unit that extracts only the factors that affect fine dust and ultrafine dust from a plurality of collected predictors, and a fine particle that predicts fine dust and ultrafine dust by learning the extracted factors by machine learning. Real-time fine dust/second based on meteorological factors and air pollutants using active-reactive LED sculptures, including a dust/ultra-fine dust prediction means and a prediction data transmission unit that transmits predicted data predicted by the fine dust/ultra-fine dust prediction means Implement a fine dust prediction system.