算法模型在烟气排放治理中的应用研究

Application Research of Algorithm Model in Flue Gas Emission Control

烟气排放的治理是实现“双碳”目标的重要内容。现有的治理技术仍存在SO_(2)浓度的控制、氨逃逸及控制不稳定等问题。随着大数据算法模型在其他工业领域被成功应用,其被认为是解决上述问题的有效途径。本文从烟气脱硫、脱硝、除尘技术原理出发,阐述算法模型在治理中的应用,为烟气脱硫、脱硝、除尘及相关行业领域应用算法模型提供思路。

The control of flue gas emission is an important part of realizing the carbon peaking and carbon neutrality goal.The existing treatment technology still has some problems such as SO_(2) concentration control,ammonia escape and control instability.The successful application of big data algorithm models in other industrial fields is considered to be an effective way to solve the above problems.Based on the technical principles of flue gas desulfurization,denitrification and dust removal,this paper describes the application of algorithm model in treatment,and provides ideas for the application of algorithm model in flue gas desulfurization,denitrification and dust removal and related industries.