지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.1
- 수록면
- 177 - 183 (7page)
- DOI
- 10.5370/KIEE.2020.69.1.177
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초록· 키워드
오류제보하기
There are two major issues for activated sludge process in sewage treatment plant. One is how to make sewage be more clean and the other is the energy saving in sewage treatment process. In order to solve these issues, many studies has developed the model of activated sludge process in sewage treatment plant. But, these models was not effective in real field as to inaccurate or non-verified process data which is used in the model. So, this paper is aimed to verify process data for the performance enhancement of model and real field applications.
The major monitoring data of activated sludge process are chemical oxygen demand, phosphorus, nitrogen, suspended solid in effluent. These are transmitted to the national TMS(Telemetry Monitoring System) at every hour. If these exceed the environmental standard, the environmental charges imposed in regular. So, these water qualities are to be controlled below the environmental standards and are very accurate in operation of sewage treatment plant. NH₄, DO(Dissolved Oxygen), MLSS(Mixed Liquid Suspended Solid) are major process data in activated sludge process. But these process data are not verified in the field because of long-using without calibrations. Many operators of the activated sludge process has no confidence in these data as to these reasons and so many research model has not be applied to field.
Almost researches are only to focus on the performance of modeling in activated sludge process. Model structures or decision of input-output of model, parameter tuning are the major research theme. All these are need to pre-process input-output data which are to be used in modeling. So, data verification is to be performed before modeling. So, we propose the real-time calibration that the process data NH₄, DO, MLSS is to be verified by compensation method. The validity of the method is proved by applying to the fuzzy model of activated sludge process which was developed in previous research. The result show that the performance of the fuzzy model was improved.
The major monitoring data of activated sludge process are chemical oxygen demand, phosphorus, nitrogen, suspended solid in effluent. These are transmitted to the national TMS(Telemetry Monitoring System) at every hour. If these exceed the environmental standard, the environmental charges imposed in regular. So, these water qualities are to be controlled below the environmental standards and are very accurate in operation of sewage treatment plant. NH₄, DO(Dissolved Oxygen), MLSS(Mixed Liquid Suspended Solid) are major process data in activated sludge process. But these process data are not verified in the field because of long-using without calibrations. Many operators of the activated sludge process has no confidence in these data as to these reasons and so many research model has not be applied to field.
Almost researches are only to focus on the performance of modeling in activated sludge process. Model structures or decision of input-output of model, parameter tuning are the major research theme. All these are need to pre-process input-output data which are to be used in modeling. So, data verification is to be performed before modeling. So, we propose the real-time calibration that the process data NH₄, DO, MLSS is to be verified by compensation method. The validity of the method is proved by applying to the fuzzy model of activated sludge process which was developed in previous research. The result show that the performance of the fuzzy model was improved.
목차
Abstract
1. 서론
2. 하수처리 활성오니 공정
3. 퍼지 모델링 및 실시간 보정 방법
4. 성능평가
5. 결론
References
참고문헌 (8)
참고문헌 신청
Keon-Jun Park / 2010 / Design of FCM-based FIS and Genetic Optimization Using Successive Tuning Method / KSII The first International Conference on Internet(ICONI)2010
Wook-Dong Kim / 2010 / Architectural Analysis of Type-2 Interval pRBF Neural Networks Using Space Search Evolutionary Algorithm / Proceedings of KIIS Fall Conference 2010 20(2):235~236
APHA / 2005 / Standard Methods for the Examination of Water and Wastewater / American Public Health Association
J. -H. Ahn / 2002 / A comparison of mesophilic and thermophilic anaerobic upflow filters treating paper-pulpliquors / Process Biochem 38:256~261
C. Eskicioglu / 2007 / Performance of anaerobic waste activated sludge digestion by microwave pretreatment / Water Environment Research 79(11):2265~2273
Wook-Dong Kim / 2010 / Architectural Analysis of Type-2 Interval pRBF Neural Networks Using Space Search Evolutionary Algorithm / Proceedings of KIIS Fall Conference 2010 20(2):235~236
APHA / 2005 / Standard Methods for the Examination of Water and Wastewater / American Public Health Association
J. -H. Ahn / 2002 / A comparison of mesophilic and thermophilic anaerobic upflow filters treating paper-pulpliquors / Process Biochem 38:256~261
C. Eskicioglu / 2007 / Performance of anaerobic waste activated sludge digestion by microwave pretreatment / Water Environment Research 79(11):2265~2273
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UCI(KEPA) : I410-ECN-0101-2020-560-000248494