REGIONAL SEMINAR

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Enterpriseready cloud

Cloud

On Premise

PI Integrator for Business Analytics: Data Warehouse

1

8

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

Challenge: Making Sense of the Data

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

AlarmTest.Input.Float32.10

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

AlarmTest.Input.Float32.1

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

BEFORE… AFTER…

03:00 03:10 03:20 03:30 03:40 03:50

Speed

Oil

Temp

Oil

Temp

Speed

Torque

03:00

03:10

03:20

03:30

03:40

03:50

Oil

Te

mp

60

60

60

120

60

Oil

Te

mp

50

50

50

50

45

Sp

ee

d

10.0

10.2

9.8

10.0

10.1

Sp

ee

d

9.8

10

10

9.9

9.9

To

rqu

e

25

24

25

25

25

Challenge: Preparing the Data for Advanced Analysis

Solution: PI IntegratorAnalytics-Ready Data | Context | Events via C-A-S-T

An

aly

tics Re

ad

y D

ata

This slide is for video use only.

Copyr i g ht © 2013, SAS Ins t i tu t e Inc . A l l r ights reser ve d .

Transform data into intelligent action in the cloud

Information Management

Preconfigured Solutions

Dashboards and Visualizations

Machine Learning and Analytics

Big Data Store

Personal Digital Assistant – Cortana

Perceptual IntelligenceText AnalyticsComputer Vision APIs

Speech APIsFace APIs

Cortana Intelligence Suite

Action

People

Automated Systems

Apps

Web

Mobile

Bots

Intelligence

Dashboards &

Visualizations

Cortana

Bot

Framework

Cognitive

Services

Power BI

Information

Management

Event Hubs

Data Catalog

Data Factory

Machine Learning

and Analytics

HDInsight

(Hadoop and

Spark)

Stream Analytics

Intelligence

Data Lake

Analytics

Machine

Learning

Big Data Stores

SQL Data

Warehouse

Data Lake Store

Data Sources

Apps

Sensors and devices

Data

People

+

Data Sources

Apps

Sensors and devices

On Prem or in the Cloud

INTELLIGENCEDATA ACTION

Automated SystemsOSIsoft PI System

PI Integrator for Azure

Apps

Cortana Intelligence

Co

rtan

a R

ea

dy

Da

ta

Azure SQL Data Warehouse

INGESTPREPAREDATA SOURCES

On Premise

Machine Learning

Power BI

ANALYZE PUBLISH CONSUME

Cortana

Web/LOB Dashboards

Azure SQL Data Warehouse

PI System

On Cloud

Azure Data Factory (Orchestration)

CLEANSE

AUGMENT SHAPE

TRANSMIT

PULL

PUSH

data

quality

normalization

model

data

compatibility

data

aggregation

Predictions as Future Data (to PI 2015)

Po

we

r BI R

ea

dy

Da

ta

Stream Analytics

Customer Azure Tenant

OutputInput

Event Hubs

AzureMarketplace

IoT Hub

Customer Azure Tenant

Azure IoT Suite

AzureMarketplace

IoT Hub Stream Analytics

SQL Database

Customer Azure Tenant

Event Hubs

Document DB

Azure Table/Blob

OutputInput

Customer Azure Tenant

Advanced Analytics & Power BI with PI System data | events and context

Architecture Notes

Picture / Image

TARGETCHALLENGE SOLUTION

39

COMPANY and GOAL

39

Filling Fermentation Free Rise

Up to 72h lost!!!

Diacetyl Rest

Operating Constraints

• Dependency on manual

measurements

• Only one measurement can

be taken in a shift

Challenge

• Transition happens

between measurements

Time in Phase

Ap

pa

rent D

egre

e o

f F

erm

en

tation

Too SoonTransition!!!

Can this be predicted?

Too late!!!

Time wasted

Proposal

HypothesisTransition Time influenced by

• Brand of Beer

• Fermentation dynamics

(Temperatures, pressures,..)

• Vessel’s dimensions & volume

Early Density Readings Known Transition TimeA

DF

Time in Phase

Benchmark: Create standard

to measure against based on

historical data

Predict: use 2 early

densities to estimate

transition time

Refine: base the model on

brand to generate a more

accurate prediction

AD

F

AD

F

Time in Phase Time in Phase

AD

F

Time in Phase

43

Engine 1Engine

100

PI Integrator allows you to push “Analytics Ready” data directly to Cortana Intelligence