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Published byBrittney Watts Modified over 8 years ago
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The Application of Process Monitoring and Key Performance Index in Polyethylene Plant International Innotech, Inc. Ricky Hsu Inspiration System, Inc. Jialin Liu, M. F. Yau
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1 How to Make Your Data Valuable? DataData InformationInformation KnowledgeKnowledge BenefitBenefit
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2 Introduction l Implement Process Data Infrastructure n Integrated HW TDC2000 、 Fisher Provox and DeltaV n Link Lab QC data n Compile the process simulator l Process Monitoring System n Statistical Process Control n Multivariate Statistical Process Control n Computerize Operator Experience l Key Performance Index n Production Performance Index n Operation Performance Index n Equipment Performance Index
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3 Platform Backbone (Before) Plant #1 Data Source Plant #2 Data Source Process Simulator HW TDC2000 Lab Data ProvoxDeltaV
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4 WinNT Process Simulator Platform Backbone (Now) HW TDC2000 Provox DeltaV Plant Information System Lab Data
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5 Process Monitoring System l Statistical Process Control n Why Do We Need SPC n Cause Effect Diagram, Fishbone Diagram n Set up XB/Range control limit n On line monitoring n Off line analysis l Multivariate Statistical Process Control n Why Do We Need MSPC n Set up PCA control limit n On line monitoring n Contribution plot l Computerize Operator Experience n If - Then architecture n Recording symptom and trigger time n Display predefined SOP
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6 Process Variation Uncontrolled Variation Controlled Variation Predictable Process Time
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7 Overview - Cause Effect Diagram
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8 Set Up Control Limit
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9 Control Limit Management
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10 On Line Monitoring (XB/Range)
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11 Offline Analysis
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12 SPC Summary
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13 Why Do We Need MSPC?
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14 Principal Component Analysis PC2 PC1
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15 Set Up MSPC Control Limit
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16 Real Time MSPC
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17 Contribution Plot
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18 Computerize Operator Experience Trigger Time Symptom Possible Cause Standard Operated Procedure For Example: If (cooling water outlet temperature less than 55 degC) Then (step 1… step 2… :)
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19 Key Performance Index l Production Performance Index n Productivity Index n Raw Material Index n Utility Index n Production Rate Analysis l Operation Performance Index n Real Time ISO Spec Monitoring n ISO Daily Report n Integrated ISO & SPC l Equipment Performance Index n Critical Equipment Operated Time n Compressor Performance n Heat Exchanger Performance
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20 Productivity Index USIFE’s Data
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21 Raw Material Index / Standard Consumption USIFE’s Data
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22 Raw Material Index / Unit Cost USIFE’s Data
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23 KPI Daily Report USIFE’s Data
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24 Production Rate Analysis Tool
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25 Calculated and Standard Production Rate
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26 Selected Time Range for Analyzing
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27 First Level Effect
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28 Second Level Effect
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29 Key Performance Index l Production Performance Index n Productivity Index n Raw Material Index n Utility Index n Production Rate Analysis l Operation Performance Index n Real Time ISO Spec Monitoring n ISO Daily Report n Integrated ISO & SPC l Equipment Performance Index n Critical Equipment Operated Time n Compressor Performance n Heat Exchanger Performance
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30 Real Time ISO Spec Monitoring USIFE’s Data
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31 Real-Time SPC for Operator
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32 ISO Daily Report USIFE’s Data
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33 Integrated ISO & SPC
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34 Analyzing Process Capacity
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35 Analyzing Process Capacity
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36 Key Performance Index l Production Performance Index n Productivity Index n Raw Material Index n Utility Index n Production Rate Analysis l Operation Performance Index n Real Time ISO Spec Monitoring n ISO Daily Report n Integrated ISO & SPC l Equipment Performance Index n Critical Equipment Operated Time n Compressor Performance n Heat Exchanger Performance
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37 Critical Equipment Operated Time USIFE’s Data
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38 Adiabatic & Reversible Process S T P suc P dis T suc T* P suc P1P1 P2P2 T1T1 T2T2 T3T3 T4T4 T suc P3P3 P4P4 S1S1 S2S2 S3S3 S4S4 S suc P dis
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39 Compressor Performance Display
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40 Calibrating Bias USIFE’s Data
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41 Heat Transfer Coefficient Reactant Stream Temperature Known Cooling Water Temperature Known
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42 Heat Exchanger Performance USIFE’s Data
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43 Summary l Data infrastructure provide the powerful management tool for supervisor. l Operator have to concern not only “Safety Alarm”, but also “Quality Alarm”. l When the performance can be defined and evaluated, there is some way to control it.
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44 Any Question ?
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