【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.更多还原

【Abstract】 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.更多还原