Nueor-Fuzzy 알고리즘을 이용한 정수장 후염소 공정 제어 = Post Chlorine Process Control by Neuro-Fuzzy Algorithm

다국어 초록 (Multilingual Abstract)

Drinking water can be contaminated by microorganisms which can be re-grown in case of not controlling chlorine concentration well in water treatment plant (hereafter WTP). It can harmful to public health. Most WTPs have used chlorine as disinfectant. Itcan be used in pre-chlorination, post-chlorination and re-chlorination. In post-chlorination, it is injected after filtration to keep residual chlorine from being contaminated by microorganisms. Post-chlorine process without re-chlorination is directly serviced to citizens. If the concentration is low, drinking water can be contaminated by bacterial re-growth. On the other hand, the high chlorine can lead to customer complaints about taste and odor. Therefore, it is necessary to predict chlorine decay in clear well to maintain desired chlorine levels. In this paper, it is shown that artificial neuro-fuzzy inference system could be used to model chlorine decay in the process and control residual chlorine better than present controller, in which cascade control is considered to compensate the error in the output.

목차 (Table of Contents)

• Abstract
• Ⅰ. 서론
• Ⅱ. CASE STUDY
• Ⅲ. RESULTS
• Ⅳ. CONCLUSION
• REFERENCES