自动化在化工工艺控制中的应用与优化

Research on the Application and Optimization of Automation in Chemical Process Control

文章聚焦于化工工艺控制中自动化技术的应用与优化,提出了模型预测控制、实时数据处理与辨识算法、多元化安全策略等自动化优化策略。通过在乙烯裂解生产中的实践,模型预测控制实现了8%的反应收率提升,实时数据处理技术提高了产量5%,多层次安全防护体系有效防范了爆炸危险。研究结果显示,这些策略为化工工艺控制的智能化与最优化提供了切实可行的路径。

This paper focuses on enhancing automation in chemical process control.It introduces strategies like model predictive control,real-time data processing,and varied safety measures.In ethylene cracking,model predictive control boosted yields by 8%,real-time data processing increased yields by 5%,and multi-layered safety protocols effectively prevented explosion risks.These f indings pave the way for intelligent and optimized chemical process control.