生物化工生产过程中的自控仪表设计与智能化优化策略探索  

Exploration of Autonomous Instrumentation Design and Intelligent Optimization Strategies in Biochemical Production Processes

作　　者：员一彬 陈欢 Yuan Yibin;Chen Huan(Anhui Huadong Chemical and Pharmaceutical Engineering Co.,Ltd.Luoyang Branch,Luoyang,Henan,China,471000;Luoyang Ruize Petrochemical Engineering Co.,Ltd.,Luoyang,Henan,China,471000)

机构地区：[1]安徽华东化工医药工程有限责任公司洛阳分公司,河南洛阳471000 [2]洛阳瑞泽石化工程有限公司,河南洛阳471000

出　　处：《仪器仪表用户》2024年第9期10-12,15,共4页Instrumentation

摘　　要：随着生物化工行业的不断发展,生产过程自动化水平的提高对产品质量和生产效率的影响日益显著。本文针对生物化工生产过程中的自控仪表设计和智能化优化策略进行了深入探讨。首先,分析了生物化工生产过程的特点及自控仪表设计的重要性;其次,针对自控仪表设计中存在的问题提出了相应的优化策略;再次,探索了智能化技术在生物化工生产过程优化中的应用,包括专家系统、人工神经网络和模糊控制等方法;最后,通过实例分析验证了所提出策略的有效性。本文的研究对提高生物化工生产过程的自动化水平和智能化程度具有重要意义。With the continuous development of the biochemical industry,the improvement of automation level in the production process has increasingly significant impacts on product quality and production efficiency.This article conducts an indepth discussion on the design of automatic control instruments and intelligent optimization strategies in the biochemical production process.Firstly,it analyzes the characteristics of the biochemical production process and the importance of automatic control instrument design.Secondly,it proposes corresponding optimization strategies for the problems existing in the design of automatic control instruments.Thirdly,it explores the application of intelligent technology in the optimization of the biochemical production process,including expert systems,artificial neural networks,and fuzzy control methods.Finally,the effectiveness of the proposed strategies is verified through case studies.This research is of great significance to improve the automation level and intelligence level of the biochemical production process.

关 键 词：生物化工 自控仪表设计 智能化优化 专家系统 人工神经网络 模糊控制 

分 类 号：TQ056[化学工程]