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The research status of artificial neural networks in membrane fouling prediction in MBRs

Authors： FAN Jilin1, LIU Hongbo1, XUE Zhuyuan1, WANG Jingxin1, WANG Huannan2, ZHANG Ruisi3

Units： 1.School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China；2. Beijing Gouli Technology co., LTD，Beijing 100013,China；3. State Power Investment Group Yuan Da Environmental Protection Engineering co. LTD. Chongqing Branch of Science and Technology,Chongqing 401120,China

KeyWords： artificial neural network;MBR;membrane fouling

ClassificationCode：X703

year,volume(issue):pagination： 2021,41(4):154-159

Abstract：

MBRs are 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 MBRs, identified the shortcomings of the existing research, and clarified the advantages of artificial neural networks (ANNs) in the study of the laws on membrane fouling in MBRs. The application cases of the ANN model in the research on membrane fouling of MBRs were systematically reviewed, and the developmental direction of this method in the research field of membrane fouling in MBRs was clarified, which provided a basis and reference for research with the ANN model in the field of membrane fouling in MBRs.

Funds：

AuthorIntro：

樊吉霖（1996.02），男，贵州毕节人，本科学历，市政工程硕士在读，研究方向:膜污染防治

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