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Study on Modelling and Neural Network Control Algorithm in Sewage Treatment Process

机译:污水处理过程建模与神经网络控制算法研究

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With the development of industries, the problem of environmental pollution caused by the massive discharge of sewage is becoming more and more serious, which has gained increasing attention of people. In order to solve the problem of drastic change of water quality and dissolved oxygen concentration in wastewater discharge, activated sludge method was used to deal with the discharge of wastewater and the neural network control algorithm was used to model and control the wastewater treatment process in this study. Besides, the neural network predictive control algorithm was proposed to control the concentration of nitrate nitrogen. Through the simulation of the sewage treatment process, it is found that the method can quickly and accurately achieve the desired requirements of the nitrate nitrogen and realize the effective sewage treatment.
机译:随着工业的发展,污水大量排放造成的环境污染问题越来越严重,引起了人们的日益关注。为解决废水排放中水质和溶解氧浓度急剧变化的问题,采用活性污泥法处理废水排放,采用神经网络控制算法对废水处理过程进行建模和控制。研究。提出了一种神经网络预测控制算法来控制硝酸盐氮的浓度。通过对污水处理过程的仿真,发现该方法可以快速,准确地达到硝酸盐氮的理想要求,实现有效的污水处理。

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