Decision-making for Membrane Fouling Based on Knowledge Fuzzy Transfer in Municipal Wastewater Treatment; [基于知识模糊迁徙的城市污水处理膜污染决策] - Details

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Abstract：

A　decision-making　method,　based　on　a　knowledge　fuzzy　transfer,　was　proposed　to　solve　the　problem　of　membrane　fouling　in　wastewater　treatment　process.　First,　based　on　the　data　and　experience　collected　from　a　real　wastewater　treatment　process,　the　knowledge　of　membrane　fouling　decision-making　was　expressed　in　the　form　of　fuzzy　rules.　Second,　a　knowledge　reconstruction　mechanism　(KRM)　was　proposed　to　complete　the　knowledge　reconstruction　by　balancing　the　matching　accuracy　and　diversity　between　the　source　domain　and　the　target　domain　with　knowledge　transfer　method.　Finally,　a　decision-making　model　based　on　data-knowledge-driven　interval　type-2　fuzzy　neural　network　(DK-IT2FNN)　was　developed,　the　model　parameters　were　designed　by　using　fuzzy　rules,　and　the　transfer　gradient　descent　algorithm　was　proposed　to　adjust　the　model　weight.　The　decision-making　accuracy　has　been　improved.　Results　show　that　the　proposed　method　can　realize　the　decision　of　membrane　fouling　with　high　accuracy.　©　2024　Beijing　University　of　Technology.　All　rights　reserved.

Keyword：

membrane fouling gradient descent algorithm fuzzy transfer fuzzy neural network municipal wastewater treatment knowledge reconstruction mechanism (KRM)

Author Community：

[ 1 ] [He Z.]Beijing City Drainage Refco Group Ltd, Beijing, 100044, China
[ 2 ] [He Z.]Beijing City Drainage Environment Development Ltd, Beijing, 100044, China
[ 3 ] [Zhao N.]Beijing City Drainage Refco Group Ltd, Beijing, 100044, China
[ 4 ] [Zhao N.]Beijing City Drainage Environment Development Ltd, Beijing, 100044, China
[ 5 ] [Li J.]Beijing City Drainage Refco Group Ltd, Beijing, 100044, China
[ 6 ] [Chen H.]Beijing City Drainage Refco Group Ltd, Beijing, 100044, China
[ 7 ] [Fu W.]Beijing City Drainage Refco Group Ltd, Beijing, 100044, China
[ 8 ] [Fu W.]Beijing City Drainage Environment Development Ltd, Beijing, 100044, China
[ 9 ] [Gu J.]Beijing City Drainage Refco Group Ltd, Beijing, 100044, China
[ 10 ] [Gu J.]Beijing City Drainage Environment Development Ltd, Beijing, 100044, China
[ 11 ] [Han H.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 12 ] [Han H.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, 100124, China
[ 13 ] [Liu Z.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 14 ] [Liu Z.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, 100124, China

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Source ：

Journal of Beijing University of Technology

ISSN： 0254-0037

Year： 2024

Issue： 3

Volume： 50

Page： 299-306

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SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

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Chinese Cited Count：

30 Days PV： 2

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