摘要
针对目前人工智能技术在水厂工艺模拟中的应用,分别从各工艺模块包括混凝、过滤、消毒,以及整体工艺等方面,对其中采用的人工智能技术,包括多层感知器神经网络、径向基函数神经网络、模糊神经网络以及优化算法等,进行综述和对比分析.人工智能技术基于大量实际运行数据,能够分析和预测水质变化,优化药剂投加量.将多种人工智能技术结合,应用于水厂工艺模拟过程中,有助于推进水务信息化、智能化建设.
For the application of artificial intelligence technology(AI)in process simulation of water treatment plant(WTP),different methods including multi-layer perceptron neural network,radial basis function(RBF)neural network,fuzzy neural network and optimization algorithm are analyzed and compared.Application modules include coagulation,filtration,disinfection,and overall process of WTP.Based on a large number of actual operating data,artificial intelligence technology can analyze and predict water quality changes and optimize the dosage of agents.By combining and applying various artificial intelligence technologies in process simulation of WTP,it is helpful to promote informatization and intelligence construction of water industry.
作者
智国铮
杨坤
张东
张双翼
庞愉文
ZHI Guozheng;YANG Kun;ZHANG Dong;ZHANG Shuangyi;PANG Yuwen(Shanghai National Engineering Research Center of Urban Resources Co.,Ltd.,Shanghai 200082,China)
出处
《净水技术》
CAS
2020年第S01期50-55,共6页
Water Purification Technology
基金
上海市科委“原水系统智能调度技术研究”(17DZ1202704)。
关键词
人工智能技术
水厂
工艺模拟
优化
预测
artificial intelligence technology
water treatment plant(WTP)
process simulation
optimization
prediction
