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1. 发明申请

US20140052422A1 METHOD AND SYSTEM FOR WASTEWATER TREATMENT BASED ON DISSOLVED OXYGEN CONTROL BY FUZZY NEURAL NETWORK 有权
标题翻译：基于FUZZY神经网络解决氧气控制的废水处理方法与系统
公开(公告)号：US20140052422A1
公开(公告)日：2014-02-20
申请号：US13985482
申请日：2011-09-22
申请人： Jinquan Wan , Mingzhi Huang , Yongwen Ma , Yan Wang
发明人： Jinquan Wan , Mingzhi Huang , Yongwen Ma , Yan Wang
IPC分类号： G06N3/04
CPC分类号： G06N3/0436 , C02F3/006 , C02F3/30 , C02F2209/001 , C02F2209/003 , C02F2209/005 , C02F2209/04 , C02F2209/08 , C02F2209/22 , C02F2209/40 , G05B13/048 , Y02W10/15
摘要： A method and system for wastewater treatment based on dissolved oxygen control by a fuzzy neural network, the method for wastewater treatment comprising the following steps: (1) measuring art inlet water flow rate, an ORP value in an anaerobic tank, a DO value in an aerobic tank, an inlet water COD value, and an actual outlet water COD value; (2) collecting the measured sample data and sending them via a computer to a COD fuzzy neural network predictive model, so as to establish an outlet water COD predicted value, (3) comparing the outlet COD predicted value with the outlet water COD set value, so as to obtain an error and an error change rate, and using them as two input variables to adjust a suitable dissolved oxygen concentration. Accordingly, the on-line prediction and real-time control of dissolved oxygen wastewater treatment are achieved. The accurate control of dissolved oxygen concentration by the present method for wastewater treatment can achieve a saving in energy consumption while ensuring stable running of the sewage treatment system, and the outlet water quality meets the national emission standards.
摘要翻译：一种基于模糊神经网络溶解氧控制的污水处理方法和系统，废水处理方法包括以下步骤：（1）测量艺术入口水流量，厌氧池中的ORP值，DO值有氧罐，进水COD值和实际出水COD值; （2）收集测量样本数据并通过计算机将其发送到COD模糊神经网络预测模型，以建立出口水COD预测值，（3）将出口COD预测值与出口水COD设定值进行比较，以获得误差和误差变化率，并将其用作两个输入变量来调节合适的溶解氧浓度。因此，实现了在线预测和实时控制溶解氧废水处理。通过本方法对污水处理的溶解氧浓度进行准确控制可以节省能源消耗，同时确保污水处理系统的稳定运行，出水水质符合国家排放标准。

2. 发明授权

US09747544B2 Method and system for wastewater treatment based on dissolved oxygen control by fuzzy neural network 有权
公开(公告)号：US09747544B2
公开(公告)日：2017-08-29
申请号：US13985482
申请日：2011-09-22
申请人： Jinquan Wan , Mingzhi Huang , Yongwen Ma , Yan Wang
发明人： Jinquan Wan , Mingzhi Huang , Yongwen Ma , Yan Wang
IPC分类号： G06N3/04 , C02F3/00 , C02F3/30 , G05B13/04
CPC分类号： G06N3/0436 , C02F3/006 , C02F3/30 , C02F2209/001 , C02F2209/003 , C02F2209/005 , C02F2209/04 , C02F2209/08 , C02F2209/22 , C02F2209/40 , G05B13/048 , Y02W10/15
摘要： A method and system for wastewater treatment based on dissolved oxygen control by a fuzzy neural network, the method for wastewater treatment comprising the following steps: (1) measuring art inlet water flow rate, an ORP value in an anaerobic tank, a DO value in an aerobic tank, an inlet water COD value, and an actual outlet water COD value; (2) collecting the measured sample data and sending them via a computer to a COD fuzzy neural network predictive model, so as to establish an outlet water COD predicted value, (3) comparing the outlet COD predicted value with the outlet water COD set value, so as to obtain an error and an error change rate, and using them as two input variables to adjust a suitable dissolved oxygen concentration. Accordingly, the on-line prediction and real-time control of dissolved oxygen wastewater treatment are achieved. The accurate control of dissolved oxygen concentration by the present method for wastewater treatment can achieve a saving in energy consumption while ensuring stable running of the sewage treatment system, and the outlet water quality meets the national emission standards.

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