Managing Real Time Data Reliability in Brownfield …...Core Team Members: 1. Farisha Ahmad 2. Tee...

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#PIWorld ©2019 OSIsoft, LLC Managing Real Time Data Reliability in Brownfield Digitalisation Arun Valliappan Nurbaitie Imana Bt. Abd Rashid 1

Transcript of Managing Real Time Data Reliability in Brownfield …...Core Team Members: 1. Farisha Ahmad 2. Tee...

Page 1: Managing Real Time Data Reliability in Brownfield …...Core Team Members: 1. Farisha Ahmad 2. Tee Kuan Sin 3. M Sani Johari 4. Kalai Veinthan 5. Che NurJulaikha 6. Aissaini Abdel

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Managing Real Time Data Reliability in Brownfield Digitalisation

Arun Valliappan

Nurbaitie Imana Bt. Abd Rashid

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Brownfield

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Data Reliability

What?What does it mean?

Why?Why do we monitor

Data Reliability?

How?How do we monitor

Data Reliability?

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Data Reliability: WHAT does it mean?

Trustworthinessof data from transmitters

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(within acceptable limitations)

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WHY do we monitor Data Reliability?

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XArrest value leakage Criteria for

digital investment decisions➢ Investment on Infrastructure

➢ Investment on Analytic Tool

(Optimization, Predictive Tools)

➢Assessment of asset’s readiness for future investment on digital capabilities

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HOW do we monitor Data Reliability?

+

Across all system

in terms of

VISIBILITY INSIGHTS

PERFORMANCE ACCOUNTABILITYSTATUS

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HOW do we monitor Data Reliability?

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Capture Curate Consume Act

I want to see the

data trustworthiness

I get all the data I

need to quantify and

address the issue

I use the data to plan

optimal intervention

I take actions that will

solve the issue and

protect value at stake

Cost Value

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HOW do we monitor Data Reliability?

Data

Reliability

PI AF PI AF SDK Sensors NetworkServers

InfrastructureMapping

& Descriptions

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Stagnant Data

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HOW do we utilize PI Technology for Data Reliability?

Out of Range

Bad Data

No Data

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PI Interfaces• Data Sources Connection Handling

HOW do we utilize PI Technology for Data Reliability?

PI Data Archive• Historical Values of Raw and

Calculated Data Handling

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PI AF SDK

• PI AF Custom Data Reference

• Custom Calculations Engine –actively manipulates AF Attributes & Write back to PI Data Archive

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PI Asset Framework (AF)

• Managing Data Clustering

(AF Hierarchy)

HOW do we utilize PI Technology for Data Reliability?

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WHERE we are now?

Pilot Phase

1 Region

8 Fields

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DEMO

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PI Data Reliability Insights Visualization

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Asset Landing Page

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Field Drill Down to Subsystem

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Transmitter Level in Each Transmitter

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Asset Landing Page

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Server Monitoring Page

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Drill Down on Server X

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Network Monitoring

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Customer Story / Summary

Challenges Solution Benefits

Legacy Assets NOT designed for today’s

operating philosophy

(Data Driven Organization)

Provides Visibility & Insightsthat cuts across departments

and embedding

accountability information

Arrest Value Leakage

Criteria for Digital

Investment

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Core Team Members:1. Farisha Ahmad

2. Tee Kuan Sin

3. M Sani Johari

4. Kalai Veinthan

5. Che NurJulaikha

6. Aissaini Abdel Madjid

7. M Azri Aizat

8. Ahmed Ghallab

9. Ari Firmansyah

10. Azhar Ahmad

11. Nicholas Gnanapragasam

12. Vivege Rajah

13. Ronald Andreas

14. Nabila Atiqah Sadon

15. M Amiruddin Fadzli

16. M Syahrul Ridhwan B Zailani

17. M Elham B M Lokman

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11. M Hafiz Suleiman

12. A Halim Mat Noh

13. William Wong Wai Lim

20. Justin See Ken Jie

21. Cornelius George

22. Mazlin M Maun

23. M Nizam Shamsudin

24. Mow Siang Chan

25. Abi Dzar Jaafar

26. A Hilmi M Sarnudin

27. Abd Aziz Zainuddin

28. Maryam Madzi

29. M Azhaziq M Azlan Goh

30. Aaron Cheng

31. Raisah Ahmad Samawe

32. Janice Sim

33. Siti Zainah Mapak

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