introduction to analytics with the pi system...introduction to analytics with the pi system...

#PIWorld ©2019 OSIsoft, LLC

Introduction to Analytics with the PI System

Carlos Villanúa Fernández

Systems Engineer

1


Where are we in the PI System Introduction

01 02 03 04

PI System & the Greater Operational Data Landscape

Landscape

Technical Crash Course on the PI System

Crash

CourseIntro to Asset Monitoring and Condition-based Maintenance with the PI System

Asset

MonitoringIntroduction to Analytics with the PI System

Analytics

2

#PIWorld ©2019 OSIsoft, LLC 3

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“Analytics” offer many choices…


Where do I start?or

Where are the quick wins?


Small projects propel success for a large project

5

Must-have project characteristics

• Subject matter expert included

• Sufficient business value

• Related to larger initiative

RO

I

time


Plant Manager

“What is our current

capacity factor?”

Live KPIs for quick decisionsKnow availability for the grid

Additional supporting dataAsset-based data object

Drill down for granularityEquipment-level visibility

6


Plant Operator

“What is occurring during

turbine curtailments?”

Self-service event

comparison

No waiting on a central team

Quick event comparisons

Find longest curtailment

Insights without coding

Just learn to drag-and-drop

9


Ad hoc event comparison inherits event & asset structure enabling easy event comparison

10


PI Interfaces

&

PI Connectors

Da

ta S

ou

rce

s

Store & Enhance

Asset

Framework

Asset Analytics

Event Frames

Collect

11

Visualization PI DataLink

PI Vision

Cloud Services

PI System Access

PI Manual Logger

PI ProcessBook

PI WebParts

Custom applications

Business systems

PI Cloud Connect

</>

Deliver

PI Integrators

Business Analytics

SAP HANA

Amazon Web Services

Notifications

PI Server

Data

Archive


PI System Infrastructure

PI Data Archive

PI

Inte

rfaces &

PI

Connecto

rs

Collect

12


Analytics

PI Asset Framework

PI Data Archive

PI

Inte

rfaces &

PI

Connecto

rs

PI Server


Enhance &

Contextualize

13


1

4

BGE003 FI-111 02T100AF_FLOW3 02:T103 AT401

ACEDemo.Unit1.Output

TI-178 B352_W778 0_CMP_SVLV_PCT

02F104 CD:F161

GE01_DT 409510395_Wind Speed QI-109GE01_DT Cooling Fan-711.Feed Rate

1-8.Net

Volume03LBA32CT0

01-2

DC.SJ.ITLoad.P

WR

TI-145FR2001

TI-178

GE04_OS

FT9001

FT9001FR5001

AF_NOISE

DC.SJ.PUE TI-102 DC.Zero DY-108DC.SJ.C1.Z3.R3.PDU1.PF GE01_A_DT

GE04_Status

02:F101.C

FIC-14402F100 fasttag

FI-1510_ENG_AUX_STS

AQUA2-SI005.PV GE02_Energy0_ENG_MODE_STSFI-151 02T103.QDC.Z1R

0_CMP_HDR

GE05_Energy C1:14AT5 AC03.Air FlowFeedBin.Cmt Boiler Cold Reheat Pressure

B737_FG117 DC.TimeLoad

D-110.Tank Pressure.PVGE04_DT QI-121 GE03_V_WIN

DC.Rk07RDC.Srv06R GE04_Energy

TI-121 FT9001

FAC.OAK.Power-Kh-Val.PV

fic1001.C GE02_OT

02F102.1HR

AVGBGT001

PI-111facility_output

DM-05:BW.R

DC.SJ.C1.Z1.R1.Rk06.S2.O03.PWR

QI-111FinalProductBin.On

94:GRDIDX.ProdIDBoiler-209.Fuel

Gas Flow

GE01_A_DT

fic1001.C

02:F101.C

FR2001 TIC-121

Aso AT401 DC.Srv01R

TI-178

asset1_outputActive Meters

GE01_A_DT aso

AF_NOISE PI-115DM-05:BW.R

FI-101Volume

0_CLR_FINAL_OUT_B_TMP F506_E990339511775_Clear SkyGlobalHoriz GE01_DT

FI-111

% CO2GE05_ES T

GE01_CONAlarmTest.Input.

Float32.1

DC.NY.Actual.PWR.day.Tot

80-5.Net VolumeGE01_A_DT

45-2.Net Volume

Boiler-209.Fuel Gas

Flow DC.Srv01R

94:GRDIDX.Tr

trigger

AC09.Power

403511195_Wind

Speed

DC.C2Z1.Pwr.Rippl

e GE01_A_DT

AF_NOISE

1-16.Net VolumeCB1992_MS

0_CMP_FLOW_TOTAL

FT9001

fasttag

FeedBin.Cmt

DC.Zone1.Number

FT9001

AlarmTest.Input.Float32.1

FT9001

DC.Srv01RBoiler-

125.Fuel Gas

Volume

1-13.Net

VolumeB045_FG978

AT401

Anacortes Refinery.Alkylation.Asset

Problems B210_FG005.KPIExcursion

D-110.Tank

Pressure.P

V Boiler Feed

Pump #1

94:BW.R TI-101F723_E889

369512185-TempCompressor-439.Feed Rate

DC.CH.DCE FIC-172:210

FI-121 AF_FLOW3

0_ENG_MODE_STS

GE03_Q

DY-131:166 GE01_TD

Boiler-334.Feed Rate

GE04_OSAsset1.Problems QI-122 FI-151

DC.SJ.SiteRealTim

eITLoad.PR FT9001

Weather

Conditions

Relative Humidity: 34%

Current Temp: 85 F

High: 92

Low: 57 F

Wind: 8 mph/N

Crude Furnace

Draft Pressure: -0.5 WC

Stack Temp: 316 F

Oxygen: 2.5%

Outlet Temp: 840 F

Cold Oil Velocity: 6 ft/sec

Crude Desalter

Operating Pressure: 110 psi

Charge Rate: 14 gph

Mix Valve Pressure: 8 psi

Water Rate: 8%

fic1001.C FR5001

AQUA2-TI-201.PV

TIC-181

BGE003 FI-111 02T100

AF_FLOW3 02:T103

ACEDemo.Unit1.Output

TI-178 B352_W7780_CMP_SVLV_PCT

02F104 CD:F161

AQUA2-SI005.PV GE02_Energy

0_ENG_MODE_STSFI-151 02T103.Q

DC.Z1R 0_CMP_HDR_SUC_PRS

DM-05:BW.R

DC.SJ.C1.Z1.R1.R

k06.S2.O03.PWR

QI-111FinalProductBin.On

94:GRDIDX.ProdID Boiler-

209.Fuel GasFlow

FI-101 bf5e1d1d-

39c9-4b5b-b3d3-

c2ce05fa3a26DM-05:BW.R AT401

AT401

DailyTrigger FrqPrbCost_ER

GE01_DT 409510395_Wind Speed

QI-109 GE01_DT Cooling Fan


364511575-AC Power

DY-101 02:F101.C

0_CLR_FINAL_OUT_B_TMP F506_E990

339511775_Clear Sky Global

Horiz GE01_DT

80-13.Net

DY-131DC.SJ.PUE


GE01_DT

FI-101 bf5e1d1d-39c9-

4b5b-b3d3-c2ce05fa3a26DM-05:BW.R AT401

4-36.NetVolumeAC04.Air Flow

02T100 03LBB02CT001-2

DC.SJ.SiteRealTim

eITLoad.PR FT9001

02F102.1HRAVGBGT001

PI-111 facility_output

AQUA2-SI005.PV GE02_Energy

0_ENG_MODE_STS FI-151

02T103.Q DC.Z1R 0_CM P_ H D R _SU C _ PRS

403511195_Wind Speed

GE02_Energy

FI-101 bf5e1d1d-39c9- 4b5b-b3d3-c2ce05f

Map raw data to the physical worldand normalize it across the enterprise

14


Status

Power

Overall Efficiency

Total Power

Unit % Uptime

Status

Power Power

Status

Make raw data decision-ready


PI Event Frames

Analytics

PI Asset Framework

PI Data Archive

PI

Inte

rfaces &

PI

Connecto

rs

PI Server


16


Identify discrete events within continuous data streams

17

Discover Event Interrelationships

Compare Assets

Compare Events

Simplify Data Analysis

Name Max

EF1 122.47

EF2 112.73

EF3 98.61

EF4 125.24

DowntimeRunning XYZ


Integrate with other systems

Send data back to the PI System

18


PI Interfaces

&

PI Connectors

Da

ta S

ou

rce

s

Store & Enhance

PI Server

Notifications

Data

Archive

Asset

Framework

Asset Analytics

Event Frames

Collect

19

Visualization PI DataLink

PI Vision

Cloud Services

PI System Access

PI Manual Logger

PI ProcessBook

PI WebParts

Custom applications

Business systems

PI Cloud Connect

</>

Deliver

PI Integrators

Business Analytics

SAP HANA

Amazon Web Services


BI Tools & Algorithms

expect time-aligned data

Data Scientists & Business Analysts

need that data contextualized

20


Time-series Data is Not Naturally Aligned or Contextualized

21


Advanced Analytics Workflows areIterative and Need SMEs

… use technology that support this approach

Discover Explore Implement

22


Discover

Begin from common

nomenclature & hierarchy

Pick from measurements

that shape the model or view

Filter based on

similar assets

23


Discover

Various ways

to clean the

data

24


Discover

Select all data from a

particular event type

Quickly preview events

after applying filter

25


Discover

Include multiple

filters to clean

data

26


Operational data of an asset that is usable by

algorithms or BI Tools!!

• Asset Context

• Data Alignment

• Asset Normalization

• Filtered on a Curtailment Event Type

• Filtered for T > -273.15 C

Discover

27


Discover

Select where you

want to publish

One-time bulk or

incrementally

push

Benefit from native integration to

AWS, Azure, Hadoop, and SAP HANA

28


Advanced Analytics Workflows areIterative and Need SMEs

… use technology that support this approach

Discover Explore Implement

29


Explore

Adjust a new

view starting from

the previous view

30


PI System integrates to a variety of advanced analytics components

Automation SystemsAssets Edge Devices / Sensors IoT solutions

data

warehousemessaging

hub

data

lake

machine

learning

business

intelligence

tool

Enterprise Operations Infrastructure

train algorithm

31


Takeaways

• Obtain quick value by providing data to experts

• Start small to de-risk advanced analytics projects

• PI System enables you to accelerate your analytics withcontext and normalization layered on top of raw operational data

32

Data ScientistInvestigate how

PI Integrators can

save you time

preparing data

Engineer/OperatorSee how PI Vision can

give a full view of your

processes and systems

General ManagerSpeak to our customers

about the value they

gain from PI System

and checkout industry

tracks


Contact us for more information…

Carlos Villanúa Ferná[email protected]

Systems Engineer

OSIsoft España SL

33

mailto:[email protected]


Questions?

Please wait for

the microphone

State your

name & company

Please remember to…

Complete Survey!Navigate to this session in

mobile agenda for survey

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34


Day 1 AFTERNOON TRACKS

•Enterprise Infrastructure

•Product Updates

•Best Practices


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introduction to analytics with the pi system...introduction to analytics with the pi system...

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