Statistical Analysis of Activated Sludge Sewage Treatment Processes using Fuzzy Modeling.

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  • ファジィモデリングによる活性汚泥プロセスの統計解析
  • ファジィ モデリング ニ ヨル カッセイ オデイ プロセス ノ トウケイ カイ

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Abstract

To analyze the performance of a sewage treatment plant with the activated sludge process, a mathematical model must be developed. But we have no good model because of the complexity of an actual process, including large disturbances of inputs and lack of accurate instruments for measuring state variables.<BR>In this paper a fuzzy modeling method based on fuzzy sets theory, including both statistical analysis and representation by using fuzzy rules, is applied to modeling and analyzing the static performance of activated sludge sewage treatment processes.<BR>In the fuzzy modeling, process characteristics are represented by IF-THEN rules. Fuzzy variables in the premise (IF) part and a multiple-regression linear model in the consequent (THEN) part constitute a rule. Each rule claims local characteristics in each sub-space. Integrating these sub-models by fuzzy inference, we can predict the process performance more correctly.<BR>The static performance of many sewage treatment plants in Japan have been evaluated by fuzzy modeling. The results show that the fuzzy model is superior to a conventional multiple-regression linear model in describing process performance. Fuzzy modeling is also expected to be an effective method for other ill-structured processes.

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