Using the PI Integrator for MS Azure to Operationalize ... · Operationalize Predictive Analytics....

REGIONAL SEMINARS 2016

Kevin Geneva, Field Service Engineer

Sept 22, 2016

Using the PI Integrator for MS Azure to

Operationalize Predictive Analytics


Global food processing company

• More than 270 plants worldwide

• Over 100 years old

• Grains and Seeds are processed for use in

– Food and beverage

– Industrial uses

– Nutraceutical

– Animal Feed

2

REGIONAL SEMINARS 2016 3


Centrifuge/Decanter Operation

Variables

• 25 Feed Related

• 25 Per Decanter Related to

Operational/Machine Behavior

Quick Facts

• 2 Plants

• 28 Machines

• 6 Month Average Life

• $50,000 per Rebuild


Analysis Model

DataSources

Apps

Sensors & Devices

People

Data Intelligence

Cortana Intelligence

Action

Apps

Automated systems


Preparing the Data

DataSources

Apps

Sensors & Devices

People

Data Intelligence


Action

Apps

Automated systems


PI Asset Framework

One version of the truth

• 2 Plants

• 28 Machines

Preparation work

• Template Design

• Deployment


System Architecture

LEGEND

P = Primary Node

S = Secondary Node (Redundancy)

FO = Automatic Interface Level Failover

NWay = Nway Buffering (send to HA PI)

*D = Direct mPI

*C = Crosslinked mPI

BLUE = ADMIN STATION

RED = Software not provided by OSIsoft

PI Data Archive Collective

PI Data Archive [HA]

Local Data

PSC

C

Process DataPI AF Server

PI Asset FrameworkLocal Architecture



Local Data

PSC

C

Process DataPI AF Server

PI Asset FrameworkLocal Architecture



Corporate Data

Maximo Data

PSC

C

PI AF Server PI Asset FrameworkAggregated Architecture

PI Integrator for

Business

Analytics

Firewall

SQL ServerOn Premesis

Power BI Desktop

Cortana

IntelligenceAzure ML

PowerBI.com

SQL Azure

Archive data remained on

source

Aggregated on central PI AF


PI Integrator for Microsoft Azure

Asset Framework

(AF)

PI Integrator for Business Analytics


PI Integrator for Microsoft Azure


PI Event Frames


Data Analysis

DataSources

Apps

Sensors & Devices

People

Data Intelligence


Action

Apps

Automated systems


Top Features

Variable 1 285.105583

Variable 2 214.418511

Variable 3 172.824017

Variable 4 169.973469

Variable 5 159.950095

Variable 6 130.138557

Variable 7 91.258758

Variable 8 89.65731

Variable 9 75.05133

Variable 10 36.644271

Variable 11 29.905867

Variable 12 26.395968

Variable 13 21.45298

Variable 14 19.099895

Variable 15 18.041149

Variable 16 13.537764

Boosted Decision Tree Regression - Top features


Top Features Operations Related

Feed Composition

Machine Related

?


Operations RelatedR

un

Lif

e


Machine RelatedR

un

Lif

e


Feed CompositionR

un

Lif

e


???R

un

Lif

e


Results Analysis

DataSources

Apps

Sensors & Devices

People

Data Intelligence


Action

Apps

Automated systems


Results Analysis


Contact Information

24

Kevin Geneva

[email protected]

Field Service Engineer

OSIsoft, LLC

24

mailto:[email protected]


Questions

Please wait for the

microphone before asking

your questions

Please don’t forget to…

Complete the Survey

for this session

State your

name & company


Thank You

Using the PI Integrator for MS Azure to Operationalize ... · Operationalize Predictive Analytics....

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