| Application of an expert system using neural network to control the coagulant dosing in water treatment plant |
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| 作者姓名： | Hang ZHANG Dayong LUO |
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| 作者单位： | SchoolofInformationScienceandEngineering,CentralSouthUniversity,ChangshaHunan410075,China |
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| 基金项目： | This work was supported by the project 863 ofChina(No.863-511092) |
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| 摘 要： | The coagulation process is one of the most important stages in water treatment plant, which involves many complex physical and chemical phenomena. Moreover, coagulant dosing rate is non-linearly correlated to raw water characteristics such as turbidity, conductivity, PH, temperature, etc. As such, coagulation reaction is hard or even impossible to control satisfactorily by conventional methods. Based on neural network and rule models, an expert system for determining the optimum chemical dosage rate is developed and used in a water treatment work, and the results of actual runs show that in the condition of satisfying the demand of drinking water quality, the usage of coagulant is lowered.
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| 关 键 词： | 水处理 过程控制 专家系统 神经网络 规则模型 |
| 收稿时间： | 10 March 2003 |
| 修稿时间： | 5 November 2003 |
Application of an expert system using neural network to control the coagulant dosing in water treatment plant |
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| Hang ZHANG,Dayong LUO.Application of an expert system using neural network to control the coagulant dosing in water treatment plant[J].Journal of Control Theory and Applications,2004,2(1):89-92. |
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| Authors: | Hang ZHANG Dayong LUO |
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| Affiliation: | School of Information Science and Engineering, Central South University, Changsha Hunan 410075, China |
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| Abstract: | The coagulation process is one of the most important stages in water treatment plant, which involves many complex physical and chemical phenomena. Moreover, coagulant dosing rate is non-linearly correlated to raw water characteristics such as turbidity, conductivity, PH, temperature, etc. As such, coagulation reaction is hard or even impossible to control satisfactorily by conventional methods. Based on neural network and rule models, an expert system for determining the optimum chemical dosage rate is developed and used in a water treatment work, and the results of actual runs show that in the condition of satisfying the demand of drinking water quality, the usage of coagulant is lowered. |
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| Keywords: | Water treatment Process control Expert system Neural network Rule models |
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