| 학회 | 한국화학공학회 |
| 학술대회 | 2009년 봄 (04/23 ~ 04/24, 광주 김대중컨벤션센터) |
| 권호 | 15권 1호, p.677 |
| 발표분야 | 환경 |
| 제목 | Remote monitoring of small-scaled biological wastewater treatment plants by data-driven methodologies |
| 초록 | A real-time remote monitoring system for wastewater treatment plants (WWTPs) has been developed to give local operators a guideline that would allow them to arrive at the optimum operational strategy in the early stage of a process disturbance. Especially, small-scaled WWTPs in Korea’s rural areas show a large fluctuation in their influent loading and, therefore, they require an efficient operation for treatment of organic matter, nitrogen and phosphorus.In this study, both operation data and measurement values from a novel mobile multi-sensor system were transmitted on-line by a telecommunication system. Then multivariate statistical process controls and software sensor techniques were applied to supervise local WWTPs. The developed remote monitoring system makes it possible to monitor the current plants’ statuses and to support the operation of local wastewater systems. Acknowledgements : 이 논문은 환경부의 환경기술 인력양성 지원사업으로 지원되었습니다. |
| 저자 | 정지원1, 김 향1, 옥진주1, 홍성훈2, 이대성1, 박종문3 |
| 소속 | 1경북대, 2삼성엔지니어링, 3포항공과대 |
| 키워드 | Remote monitoring; Multivariate statistical process control; Neural network; Software sensor; Wastewater treatment plant |
| 원문파일 | 초록 보기 |
