Development of ultra-low emission prediction model for steel enterprises based on ARIMA

Abstract

Abstract The iron and steel industry is an important raw material industry in the country, but also a large air pollutant emission. In the face of the increasing environmental standards and requirements of the country, promoting the implementation of ultra-low emissions in the steel industry, significantly reducing pollutant emissions, promoting continuous improvement of environmental quality[1], and accelerating green low-carbon transformation and high-quality development are the general trend and industry needs. According to the promotion requirements of ultra-low emission work in Baoshan Base, the ultra-low emission application system was developed to meet the ultra-low emission control requirements. Using the ultra-low emission monitoring data of Nanjing Mei shan the parameters p, d and q were first determined, and then the ultra-low emission differential autoregressive moving average (ARIMA) prediction model was established.