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07. ソフトセンサー(推定モデル) 京都大学 加納学

1 Division of Process Control & Process Systems EngineeringDepartment of Chemical Engineering, Kyoto 2 Outlinez z PLS z Dofasco PLS z MSPC z Just-In-Time 3 4 5 What is your hardware sensor problem?

1 京都大学 加納学 Division of Process Control & Process Systems Engineering Department of Chemical Engineering, Kyoto University manabu@cheme.kyoto-u.ac.jp

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Transcription of 07. ソフトセンサー(推定モデル) 京都大学 加納学

1 1 Division of Process Control & Process Systems EngineeringDepartment of Chemical Engineering, Kyoto 2 Outlinez z PLS z Dofasco PLS z MSPC z Just-In-Time 3 4 5 What is your hardware sensor problem?

2 27%21%15%13%10%8%2%4%Time-consuming maintenanceNeed for calibrationAged deteriorationInsufficient accuracyLong dead-time, Slow dynamicsLarge noiseLow reproducibilityOthersQuestionnaire to 26 companies (JSPS PSE 143 committee, 2003) Soft-sensor is a remedy? Yes, 21 of 26 companies had used soft-sensors. in addition to lack of sensors6 Where do you use soft-sensors?72%25%2%1%DistillationReact ionEvaporationOthersabout 100 softsensors in MCCO okita (CISCSJ Bulletin, 2006)Distillation is the main application object of soft-sensors.

3 Many distillation columns in to soft-sensors were developed through Partial Least Squares (PLS).7 Which method for soft-sensor?0102030401991199319951997199 9200120032005 Year# articlesPLSANNSSIDSVM/SVR(keyword search in SCOPUS database)ANN is dominant in the literature while PLS is popular in is emerging. The number is increasing z PLS z Dofasco PLS z MSPC z Just-In-Time 9 "Product Quality Estimation and Operating Condition Monitoring for Industrial Ethylene Fractionator"J.

4 Chem. Eng. Japan, , , (2004) 10 11 1. T431 tray #29 T431 bottom T431 top T431 tray #37 T432 tray #129 Flow rate from T432 to T4317. T431 reboiler flow rate8. Product ethylene flow rate9. T432 reflux flow rate10. T432 internal reflux flow rate11. T432 purge flow rate12. T432 reflux ratio13. T432 top T431 feed ethane C351 #2 discharge C351 #2 discharge C351 #4 suction V359 level (cooling propylene) 12 Dynamic PLS (Kano et al.)

5 , J. Proc. Cont., 2000)13 Dynamic PLStt-5t-10 Dynamic PLSTime [min] N14 0200400600800100001002003004005000200400 6008001000-100-50050100measurementsestim ates 15 Outlinez z PLS z Dofasco PLS z MSPC z z Just-In-Time 16 : Dofasco BLAST FURNACE DISASTER AVOIDANCE SYSTEM hearth chill 2 PLS >35 coke, iron ore, flux, fuel, and hot blast hot metal, slag, and waste gases dynamic PLS 17 Dofasco: C1430 C C 18 Dofasco.

6 20 1430 C Performance Criteria ValueTotal number of faults10 Faults detected with >1 hour notice7 Faults detected with <1 hour notice2 Faults not detected1 19 Outlinez z PLS z Dofasco PLS z MSPC z Just-In-Time 20 z z z z = 21 SPC "Product Quality Estimation and Operating Condition Monitoring for Industrial Ethylene Fractionator"J.

7 Chem. Eng. Japan, , , (2004)22 PLS SPCLV1LV2 Errordetected by T2detected by Q PLS-based SPC23 5001000150020002500050100 Ethane [hour]measurementsestimates(A) (B) (C) 24 Outlinez z PLS z Dofasco PLS z MSPC z Just-In-Time 25 zDynamic PLSz z zRecursive PLS zJust-In-Time 26 Recursive PLS =.

8 27 Just-In-Time zJust-In-Time Query 28 JIT z Just-In-Time JIT 29 JIT z z k 1 K J zJ z z 30 z z z 31 Recursive PLS z 32 JIT z 33 JIT z 34 (1) 1 /1 MPC 8 19 4 2006/4/30 2007/12/25 600 35 (2) JIT JIT


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