| Project/Area Number |
12450310
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
化学工学一般
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| Research Institution | Nagoya University |
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Principal Investigator |
ONOGI Katsuaki Nagoya University, Graduate School of Engineering, Professor, 工学研究科, 教授 (80115542)
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| Co-Investigator(Kenkyū-buntansha) |
SHIMIZU Yoshiaki Toyohashi University of Technology, Faculty of Engineering, Professor, 工学部, 教授 (10109085)
TOMITA Shigeyuki Miyazaki University, Faculty of Engineering, Professor, 工学部, 教授 (10111668)
HASEBE Shinji Kyoto University, Graduate School of Engineering, Associate Professor, 工学研究科, 助教授 (60144333)
TSUGE Yoshifumi Kyushu University, Graduate School of Engineering, Associate Professor, 工学研究院, 助教授 (00179988)
NISHITANI Hirokazu Nara Institute of Science and Technology, Graduate School of Information Science, Professor, 情報科学研究所, 教授 (10029572)
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| Project Period (FY) |
2000 – 2002
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| Keywords | Batch Plant / Discrete Event System / Decentralized Operation System / Unsteady Control / Cognitive Information Processing Model / Supply Chain Management / Human Interface / Data Reconciliation |
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| Research Abstract |
This research project aims at discussing the relation of various problems regarding planning, control and operation of batch plants and developing a framework to solve these problems based on common models.
To achieve this objective, we first investigate chemical batch plant planning problems to deal with unstable and uncertain decision circumstances toward agile productions. A new methodology for verifying fairness and controllability of operational strategies is proposed. A model of a decentralized supply chain management system is also proposed in which the uncertainties on the yield of products or production demands can be embedded. We second investigate batch control system design problems to synthesize operating procedures and procedural controllers. A method of constructing a Petri net based hierarchical batch control system model using information about process and plant is presented. Operating procedures are synthesized by analyzing the behavior of the model. Moreover, it is shown that the model can be used to diagnose plant failures. We third investigate man-machine management system design problem A cognitive information processing model which incorporates the mental state to simulate a plant operator's behavior under abnormal situations is developed. In addition to this model, a diagnosis method of faulty sensors and a failure diagnosis filter are developed. These results can be used to study how to cope with abnormal situations.
We next develop a common model to unify planning, control and operation problems and to evaluate their solutions, and last present a framework to solve cooperatively various batch process problems on the basis of the common model.
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