| 结合机理和RBF的污水处理过程水质软测量模型 |
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| 引用本文： | 片锦香,李界家,苑明哲,丛秋梅.结合机理和RBF的污水处理过程水质软测量模型[J].适用技术之窗,2013(9):71-75. |
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| 作者姓名： | 片锦香 李界家 苑明哲 丛秋梅 |
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| 作者单位： | [1]沈阳建筑大学信息与控制工程学院,辽宁沈阳110168 [2]中国科学院沈阳自动化研究所信息服务与智能控制技术研究室,辽宁沈阳110016 |
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| 摘 要： | 针对活性污泥污水处理过程强非线性、不确定性和时变性等综合复杂特性，本文研究了污水水质COD的检测技术现状，并总结了现有水质软测量模型的存在问题，最后建立适应大范围变化工况条件、并具有较高精度的多模型结构的水质软测量模型。其中，工况识别机制采用案例推理技术实现，每个局部模型采用机理模型结合RBF神经网络技术实现。
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| 关 键 词： | 污水处理 水质模型 软测量 神经网络 |
Water Quality Soft Sensor Model for Wastewater Treatment Process Based On Mechanism Model and RBF Neural Network |
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| Pian Jinxiang Li Jiejia Yuan Mingzhe Cong Qiumei.Water Quality Soft Sensor Model for Wastewater Treatment Process Based On Mechanism Model and RBF Neural Network[J].Science & Technology Plaza,2013(9):71-75. |
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| Authors: | Pian Jinxiang Li Jiejia Yuan Mingzhe Cong Qiumei |
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| Affiliation: | Pian Jinxiang Li Jiejia Yuan Mingzhe Cong Qiumei ( l.School of Information and Control Engineering, Shenyang Jianzhu University, Liaoning Shenyang 110168; 2.Department of Information Service ＆ Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning Shenyang 110016 ) |
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| Abstract: | Concerning the complex characters of the wastewater treatment with activated sludge process, i.e., nonlinear, uncertainty and time-varying, etc. This paper discusses current water quality COD detection technology, and existing problems of water quality soft sensor. The water quality soft sensor model, based on multi-model con- struction, is of high precision and adapts to changing conditions. The condition recognition mechanism is realized by case-based reasoning technology, and the partial models are completed by mechanism model and RBF neural network technique. |
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| Keywords: | Wastewater Treatment Water Quality Model Soft Sensor Neural Network |
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