陈韬, 彭永臻, 王淑莹, 曾薇. 污水生物处理系统的智能控制[J]. 北京工业大学学报, 2002, 28(4): 472-478.
    引用本文: 陈韬, 彭永臻, 王淑莹, 曾薇. 污水生物处理系统的智能控制[J]. 北京工业大学学报, 2002, 28(4): 472-478.
    CHEN Tao, PENG Yong-zhen, WANG Shu-ying, CENG Wei. Intelligent Control for Biological Treatment System of Wastewater[J]. Journal of Beijing University of Technology, 2002, 28(4): 472-478.
    Citation: CHEN Tao, PENG Yong-zhen, WANG Shu-ying, CENG Wei. Intelligent Control for Biological Treatment System of Wastewater[J]. Journal of Beijing University of Technology, 2002, 28(4): 472-478.

    污水生物处理系统的智能控制

    Intelligent Control for Biological Treatment System of Wastewater

    • 摘要: 分析了污水生物处理系统难于实现自动控制的原因,阐述了智能控制系统的结构和原理,阐明了污水生物处理连续流和间歇式工艺的控制思想和原则.介绍了专家系统、模糊逻辑、神经网络和混合人工智能等人工智能技术以及在线传感器在污水生物处理系统智能控制中的开发与应用现状.指出了针对污水生物处理的各个层面和多种工艺,其中,选择过程控制变量和传感器、抽象出控制规则并建立智能控制器、训练仿真与控制系统、从示范工程到实现最终的应用与推广是各阶段的研究内容与发展方向.

       

      Abstract: The reasons why the biological treatment system of wastewater is difficult to be automa-atically controlled is analyzed. The structure of the intelligent control system is introduced. The idea and principle of continuous and sequencing biological wastewater treatment system are illustrated. The status quo of the development and application of the artificial intelligent techniques, such as expert system, fuzzy logic and neural network, hybrid artificial intelligent technique as well as online sensors, in the biological wastewater treatment system is introduced. The further research and developing trends are aiming at different processes and levels. To select control variables and sensors, to abstract control regulations, to construct intelligent controller, to train simulating control system and to realize the final application and generalization from the demonstration engineering all are the future research content, and also show the development orientation.

       

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