摘要
阐述污水处理化学除磷加药的优化控制,多模式智能加药系统的设计,通过投加率、摩尔比和神经网络预测模式的设计,结合机理分析与数理建模,帮助构建可迭代式优化的加药运行机制,实现随水质变化的动态智能加药优化,从而提升低碳稳定运行能力。
This paper describes the optimal control of chemical phosphorus removal dosing in sewage treatment, a multi-mode intelligent dosing system is developed in this paper. Through the design of dosing rate, molar ratio and neural network prediction mode, combined with mechanism analysis and mathematical modeling, it helps to build an iterative optimized dosing operation mechanism, realize the dynamic intelligent dosing optimization with the change of water quality, and improve the low-carbon stable operation ability.
作者
沈彦
SHEN Yan(Shanghai SIPAI Intelligent Systems Co.Ltd.,Shanghai 200233,China.)
出处
《集成电路应用》
2022年第7期28-31,共4页
Application of IC
基金
上海市科技人才计划项目(19QB1405800)。
关键词
控制系统
神经网络
除磷加药
control system
neural network
phosphorus removal dosing