Application of an expert system using neural network to control the coagulant dosing in water treatment plant
Hang ZHANG
Dayong LUO
摘要：The coagulation process is one of the most important stages m water treatment plant, which involves many comlex 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 m 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.
机标关键词：water treatmentneural networkdrinking water qualitycoagulation processexpert systemthe optimumrule models
分类号：O1(数学)
资助基金：国家高技术研究发展计划(863计划)(863 -511092)
论文发表日期：2004-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：4( 89-92 )
英文信息