Abstract
This paper propose the novel methodology for process monitoring and supervision in batch process by using the case based approach for retrieve, reuse, revise and retain the recipes. The simulation results show the learning mechanism of the recipe after solving the new problem and retaining the recipe into case based. This paper discusses the utilization of safety related data (HAZOP result, accident database, operating manuals, etc.) for supporting the run-time processes. This proposed system offers more efficient, low cost and accurate solution for handling any abnormal situations. It gives significant impact to batch processes which are partially or fully controlled by plant operators. A set of new problems can be solved by reuse of proven process solutions. The proposed system integrates quantitative and qualitative parameters for the adaptation of cases. A technique to generate the accurate recipes and adapt to the processes is introduced during normal and abnormal situation. In particular, the different between current process variables with the references (recipes) should be managed to prevent from any hazardous conditions. The processes are evaluated using similarity assessment to the case based. This intelligent approach can distinguish the plausible cases and generate the accurate recipes and adapt to the new situation. The aim is to use the offline historical process data and safety related information in order to propose changes and adjustment in the process.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the SICE Annual Conference |
| Pages | 534-537 |
| Number of pages | 4 |
| Publication status | Published - 2005 |
| Event | SICE Annual Conference 2005 - Okayama, Japan Duration: Aug 8 2005 → Aug 10 2005 |
Other
| Other | SICE Annual Conference 2005 |
|---|---|
| Country | Japan |
| City | Okayama |
| Period | 8/8/05 → 8/10/05 |
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Keywords
- Batch recipe
- Case based reasoning
- Process monitoring
- Safety
ASJC Scopus subject areas
- Engineering(all)
Cite this
Process monitoring and supervision in batch plant based on recipe adaptation. / Rizal, D.; Gabbar, H. A.; Suzuki, Kazuhiko.
Proceedings of the SICE Annual Conference. 2005. p. 534-537.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Process monitoring and supervision in batch plant based on recipe adaptation
AU - Rizal, D.
AU - Gabbar, H. A.
AU - Suzuki, Kazuhiko
PY - 2005
Y1 - 2005
N2 - This paper propose the novel methodology for process monitoring and supervision in batch process by using the case based approach for retrieve, reuse, revise and retain the recipes. The simulation results show the learning mechanism of the recipe after solving the new problem and retaining the recipe into case based. This paper discusses the utilization of safety related data (HAZOP result, accident database, operating manuals, etc.) for supporting the run-time processes. This proposed system offers more efficient, low cost and accurate solution for handling any abnormal situations. It gives significant impact to batch processes which are partially or fully controlled by plant operators. A set of new problems can be solved by reuse of proven process solutions. The proposed system integrates quantitative and qualitative parameters for the adaptation of cases. A technique to generate the accurate recipes and adapt to the processes is introduced during normal and abnormal situation. In particular, the different between current process variables with the references (recipes) should be managed to prevent from any hazardous conditions. The processes are evaluated using similarity assessment to the case based. This intelligent approach can distinguish the plausible cases and generate the accurate recipes and adapt to the new situation. The aim is to use the offline historical process data and safety related information in order to propose changes and adjustment in the process.
AB - This paper propose the novel methodology for process monitoring and supervision in batch process by using the case based approach for retrieve, reuse, revise and retain the recipes. The simulation results show the learning mechanism of the recipe after solving the new problem and retaining the recipe into case based. This paper discusses the utilization of safety related data (HAZOP result, accident database, operating manuals, etc.) for supporting the run-time processes. This proposed system offers more efficient, low cost and accurate solution for handling any abnormal situations. It gives significant impact to batch processes which are partially or fully controlled by plant operators. A set of new problems can be solved by reuse of proven process solutions. The proposed system integrates quantitative and qualitative parameters for the adaptation of cases. A technique to generate the accurate recipes and adapt to the processes is introduced during normal and abnormal situation. In particular, the different between current process variables with the references (recipes) should be managed to prevent from any hazardous conditions. The processes are evaluated using similarity assessment to the case based. This intelligent approach can distinguish the plausible cases and generate the accurate recipes and adapt to the new situation. The aim is to use the offline historical process data and safety related information in order to propose changes and adjustment in the process.
KW - Batch recipe
KW - Case based reasoning
KW - Process monitoring
KW - Safety
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M3 - Conference contribution
SP - 534
EP - 537
BT - Proceedings of the SICE Annual Conference
ER -