Track and trace extraordinary results

Transcription

1 Track and trace extraordinary results Raquel Goulart Heli Rabelo

2 Agenda Klabin Who we are Puma unit overview Applications PI System in Puma Unit Systems modules and capabilities Traceability Decision Making Aid PI Vision and PI Web API Results What we achieved so far Next Steps Looking ahead for further gains

3 Data is everywhere! The way you use them can transform the world

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5 Water Treatment Biomass Boiler Turbines Wood Preparation SW HW Recovery Boiler Electrical Station Caustification Digesters Evaporation Chemical Plant Washing Puma Overview Depuration Waste Treatment Bleaching Drying Machines Pulp Tanks

6 How much does an information cost? VALUE DECISION HISTORIC TIME

7 Profile DataLink Interface for UFL AF SDK PI Universe Event Frames OPC DA Server Future Data Interface for RDBMS Analytics Interface For OPC DA (Client) Web API ProcessBook Vision Notifications 8

8 Architecture App Server PI HA SQL PI AF Clients DMZ IT Network Firewall Forest Laboratory Meteorological Station Schneider ABB/Siemens Valmet Schneider A.T. Network OPC Servers

9 PI Asset Framework

10 PI AF allows to organize tags and assets 11

11 Event Expressions PI Rollups Analyses Frames 12

12 Applications 13

13 Applications

14 Applications

15 Applications

16 Traceability

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22 Drying Machine Output Timestamp

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26 Decision Making Aid

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28 PI Vision & Web API

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31 COLOCAR O VIDEO USANDO A FERRAMENTA

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33 PI Notifications

34 PI Notifications helps users to monitor critical variables all the time

35 PI Notifications GOAL: COMPANY and GOAL Control of Chemical Consumption and Inventory CHALLENGE Monitor all consumption of chemical in the factory. SOLUTION PI System Data in real time monitor levels and flows of various chemical tanks. RESULTS Expedite Logistics and Service in the Factory. Avoid production stops due to lack of chemical Warehouse and suppliers are informed when the inventory is not sufficient to maintain production to the next hours. None production stop related to low stock since implementation. 36

36 PI Notifications GOAL: COMPANY and GOAL Improvement of Predictive Maintenance in Boilers. CHALLENGE Monitor the quality of water which is used in the boilers, avoiding contamination SOLUTION With PI Notifications data from laboratory and online measurements are monitored all the time. If something goes out the limits, an alert is sent. RESULTS Fast decisions in case of contaminations of the boiler s feed water. Detect false indication of measurements which may cause spurious trips in Recovery Boiler. Implemented logic has made possible to trigger a notification when an atypical behavior occurred in some measurement. It has already detected seven atypical behaviors classified as spurious since the implementation of the logic. $4.8 million in savings per avoided stop due spurious trip. 37

37 Create a notification Determine the trigger Set a variable and a limit

38 Next Steps 39

39 Next Steps 40

40 Results Agility in decision making Increased availability of data and information Online event communication Reliability Operational time optimization Focus on predictive maitenance Systems integration

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42 The Men Create the tools. The Tools recreate men. Marshall McLuhan

43 Contact Information Raquel Goulart Specialist DEPR Klabin Heli Rabelo Analyst IHM Engenharia

44 Questions Please wait for the microphone before asking your questions Please remember to Complete the Online Survey for this session State your name & company

45 Merci Thank You Grazie