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Research and Application of Fuzzy Neural Network Technology in the Wastewater Treatment System of CASS Method

Author: BiZuoWen
Tutor: WangShuDong
School: Lanzhou University of Technology
Course: Control Theory and Control Engineering
Keywords: Sewage treatment CASS Process Intelligent Control Fuzzy Neural Network matlab Data exchange
CLC: X703
Type: Master's thesis
Year: 2011
Downloads: 45
Quote: 1
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Abstract


CASS pool of sewage treatment process is a new process developed on the basis of the activated sludge, sewage treatment process is the use of a variety of flora adsorption on sludge life activities, to clear the sewage harmful impurities and pollutants. The dissolved oxygen concentration is an important factor in the sewage treatment process, due to the water quality of the instability and the growth of microorganisms complexity and so on, so that the concentration of dissolved oxygen control process with multi-variable, nonlinear, large time delay and uncertainty and other characteristics, the control process accurate mathematical model is difficult to establish mathematical model based on the traditional control methods can not meet the control requirements, resulting in the instability of the water quality. Intelligent control is to control the advanced stage of the development of the theory, it can be uncertain control process mathematical model based on precise control of the amount charged. In order to improve the quality of sewage treatment effluent, reduce operating costs, the use of intelligent control method to control the dissolved oxygen concentration has important theoretical and practical significance. Fuzzy neural network is developed based on the theory of fuzzy logic and neural network, an intelligent control method, which both fuzzy logic fuzzy reasoning and knowledge representation capability, but also self-learning ability of the neural network can effectively resolve the complex control the system's many problems. In this paper, on the basis of the existing studies on the concentration of dissolved oxygen intelligent control method, combined with the actual project, in-depth understanding of CASS pool process sewage treatment principle of the method, combined with fuzzy neural network control study and research, mainly to do the following work: , according to the actual project control requirements, guaranteed to meet the control system performance hardware structure design and control system software development and design of the upper monitor configuration and touch screen control screen manually. 2, the use of OPC technology to achieve Matlab and PLC data exchange, Matlab toolbox designed fuzzy neural network controller, and embedded in the simulink environment data into the PLC to simulink the results through data processing sending back to the PLC real-time control. 3, according to the controlled object graph in simulink real-time tracking analysis system operating conditions. This study dissolves oxygen concentration precise control the CASS process of sewage treatment process, provides a new method for the automatic control of sewage treatment, sewage treatment process of intelligent control technology development has a certain theoretical and practical significance.

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CLC: > Environmental science, safety science > Processing and comprehensive utilization of waste > General issues > Wastewater treatment and utilization
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