摘要
文章论述了智能化水处理系统的基本构成,包括信号收集系统、控制系统、人机交互系统、保护系统、设备工艺系统等,针对智能化水处理系统中的核心控制系统,提出将人工神经网络模型、专家知识推理机、模糊控制模型等应用于水处理过程自动化控制策略优化中,通过对水处理过程的实时在线监测、水质参数分析与处理过程智能化控制,提高智能化水处理系统运行的稳定性以及水处理效果,降低水处理能耗.
Abstract
This paper discusses the basic composition of intelligent water treatment system,including signal collection system,control system,human-computer interaction system,protection system,equipment process system,etc.Aiming at the core control system of intelligent water treatment system,it proposes to apply artificial neural network model,expert knowledge inference machine and fuzzy control model to the optimization of automatic control strategy of water treatment process.Through real-time online monitoring of water treatment process,analysis of water quality parameters and intelligent control of treatment process,the stability of operation of intelligent water treatment system and the effect of water treatment are improved,and energy consumption of water treatment is reduced.
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