摘要
膜生物反应器(MBR)是膜分离技术与生物处理技术相结合的一种新型、高效的污水处理技术,当前膜污染已成为限制MBR工艺推广应用的主要问题.分析了当前MBR膜污染规律的研究现状,指出了现有研究的不足,明确了人工神经网络(ANN)方法运用于MBR膜污染规律研究的优势.对ANN模型在MBR膜污染研究中的应用案例进行系统梳理,阐明了该方法在MBR膜污染研究领域的发展方向,为ANN模型在MBR膜污染研究领域的应用提供依据和参考.
MBR is a new and efficient wastewater treatment method combining membrane separation and biological treatment technology. This study analyzed the current research status of the laws on membrane fouling in MBR, identified the shortcomings of the existing research, and clarified the advantages of artificial neural networks(ANN) in the study of the laws on membrane fouling in MBR. The application cases of the ANN model in the research on membrane fouling of MBR were systematically reviewed, and the developmental direction of this method in the research field of membrane fouling in MBR was clarified, which provided a basis and reference for research with the ANN model in the field of membrane fouling in MBR.
作者
樊吉霖
刘洪波
薛祝缘
王婧馨
王换男
张睿思
FAN Jilin;LIU Hongbo;XUE Zhuyuan;WANG Jingxin;WANG Huannan;ZHANG Ruisi(School of Environmental Science and Engineering,Tianjin University,Tianjin 300072,China;Beijing Gouli Technology Co.,Ltd.,Beijing 100013,China;State Power Investment Group Yuanda Environmental Protection Engineering Co.Ltd.,Chongqing Branch of Science and Technology,Chongqing 401120,China)
出处
《膜科学与技术》
CAS
CSCD
北大核心
2021年第4期154-159,共6页
Membrane Science and Technology
关键词
人工神经网络
MBR
膜污染
artificial neural network
MBR
membrane fouling
作者简介
第一作者:樊吉霖(1996-),男,贵州毕节人,硕士生,研究方向为膜污染防治,E-mail:791218160@qq.com;通讯作者:刘洪波,E-mail:llhhbb@tju.edu.cn。
