Study on Soft Sensor Modeling and Optimization Control of Biological Fluidized Bed Swage Disposal

Abstract:

To solve the problem that outlet water index Biochemistry Oxygen Demand (BOD) of the Biological Fluidized Bed (BFB) sewage treatment process is difficult to online measure and optimization control of sewage treatment process, Water quality index neural network soft measurement method and the fuzzy control strategy was put forward in this paper. Considering the sewage treatment process exists nonlinear and time-varying characteristic, the effluent water BOD soft sensor model was established employing the process neural network. On the base of this, the optimization control was realized adopting Dissolved Oxygen (DO) for fuzzy control variable Through the soft measurement and fuzzy control model’s simulation training, Shows that the effectiveness and feasibility of these models, an effective soft measurement and optimization control way for BFB sewage treatment have been provided.

• Periodical: Applied Mechanics and Materials (Volumes 128-129)
• Pages: 1059-1064
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.128-129.1059
• Online since: October 2011
• Authors: Xiao Yi Wang, Meng Liu, Zai Wen Liu, Zhen Su, Xiao Feng Lian, Xiao Dong An
• Keywords: Biological Fluidized Bed, Fuzzy Control, Process Neural Network, Soft Measurement

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