System Integration from Connectivity to Operational Insight: Leveraging PI System · 2018. 4....

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#OSIsoftUC #PIWorld ©2018 OSIsoft, LLC

1 #OSIsoftUC #PIWorld ©2018 OSIsoft, LLC

System Integration from Connectivity to Operational Insight:

Leveraging PI System

Terri Lewis – Digital & Technology Director

Ankit Dhorajiya – Digital Analytics Specialist

#OSIsoftUC #PIWorld ©2018 OSIsoft, LLC

#OSIsoftUC #PIWorld ©2018 OSIsoft, LLC

Conference Theme & Keywords

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About Caterpillar Inc.

Founded in 1925

(California) Present in almost every country

in globe

$45.5B Revenue 2017

98,400 Employees 6 Million Machines Working Hard Globally

175+ Dealers Globally

Dealer

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Disruption in Progress…

Internet Facebook Instagram

4 YEARS 3.5 YEARS 6 MONTHS

Radio TV

38 YEARS 13 YEARS

Telephone

50 YEARS

+ Snapshot of various ground breaking technology

+ Time took to reach up to 50 million Users

Angry Bird

19 DAYS

Draw Something

50 DAYS

PokeMon Go

35 DAYS

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Things are Complex in IIoT

By 2020, 50 Billions devices will be connected to the internet

In the coming years 40% of total data created will be from sensors which includes sensor from Industrial machines Source: Gartner

Industrial Data is

Complex

Different sources Different DBs

Variability

Complexity Domain

Expertise

No Data Standards

Velocity

Volume

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Why Caterpillar is Your Partner in Digital Transformation

Too Much Data Right

Data

Right Data = Information that provides value to the User

CULTU R AL CHANGE CUSTOM E R FOCUS ED

B E S T I N C L A S S

A N A L Y T I C A L

T E C H N O L O G I E S

A N D P E O P L E

E X T E R N A L

S T R A T E G I C

P A R T N E R S

I N H O U S E L A B S

I n n o v a t i o n

F o r e n s i c s

F l u i d A n a l y s i s

I N D U S T R I A L

D O M A I N

E X P E R T I S E

• LARGEST CONNECTED FLEET IN INDUSTRY (~500K

Connected Machines)

• 7 MILLION FLUIDS SAMPLES PER YEAR

• WORLD CLASS FMEA LABs

• BRAND AGNOSTIC APPROACH

• FROM SMALL TO PRIME POWER APPLICATION

• SOLUTION ARE ENABLED BY CAT CONNECT

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CAT CONNECT STRATEGIC INTENT

CAT Connect Strategic Intent

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CAT Connect – Energy & Transportation

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• Business Challenges

• System Diagram

• Guiding Principles

• Data Standards

• Technology Used

• Output examples

• Results & Next Steps

• Summary

Topics Covered in Presentation

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+ Industries as following,

Why CAT Connect

Mission/Operation Critical Assets

Unscheduled Downtime

E l ectr ic Power

Mi crogr id Marine Oi l & G as Mining

Compliance & Regulations

Ultimate Goal of Lowering Operating & Owning Cost Eliminate Unplanned Downtime

Leverage Data to Make World Class Premium Products

Data Silos

Data Management &

Security

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Business Challenges

Connective Challenges Multiple vendors &

Multiple System

Lack of Information Meaningful view of

Operation

Data Volume is Overwhelming

• Scalable solution

• All the data, all the time

• On demand access to information

• Multiple types of data

• Data standards

• Data analytics & data science

• Restricted resources

• Minimal actionable information

• Transparent view of Information across org

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High Level System Diagram

Ente

rpri

se P

I Sys

tem

Data Standards

MIMOSA (CCOM & CBM)

Systems & Sub Systems Structure

OSIsoft PI

PI Data Historian

PI Asset Framework (AF)

BI Integrator

PI Vision

ThingWorx

• Remote Binding to thing Properties

• Webapi access layer • Alerts to Recommendation

workflow • Integrator for visualization

& Data lake • PI vision integration • Centralized data access

through portal

Op

erat

ion

al D

ata

& A

dvi

sori

es A

cces

s

Rec

om

me

nd

atio

n W

ork

flo

w

Acc

ess

to R

eal-

Tim

e d

ash

bo

ard

s

AR

/VR

Ser

vice

Mo

du

les

Co

nn

ecto

rs

Inte

rfac

es

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•Avoid replication of data •Leverage event frame functionality for relational data

•Automatic creation of AF and Thing properties •Efficient AF element magt

•Channel true-ups

•Leverage webapi for data science & Analytics

•MIMOSA - CCOM & CBA

•Foundation for Analytics & Data Science capabilities

•Enables cross functional partnership

•NLP Implementation for Tag names

•Role Based Views

•Dealer, Customer, Site specific information access

•Integration with BI tools

Role Based Information

Access Data Standards

Automation

&

Analytics

Development

One true source for data

Guiding Principle

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• For data standard - leveraged framework provided by MIMOSA

• OSISoft PI server, AF, PI vision, BI Integrator

• Thingworx, Vuforia

• BI tools - Tableau

• Java charting libraries d3.js and amchart

Technology Used

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• MIMOSA CCOM Model to manage • Asset Information, Model, Make, Manufacturer,

Location, Specs, Orgs etc • Sensor registry by model with metadata

information such measurement types, UOM, location, data frequency, data range, test, samples etc

• Added System and Sub system level details for • CMMS Integration • Fleet level analysis

• Managing this information in the Teradata tables • Automation to add the new sensor information • For new asset onboarding automated tag creation to

automated interface file

Data Standards

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PI Data Archive

~ 400K+ Data point collected

~ 10 Hz to 1Hz frequency

~ 10K updates per second

Data Stored since 2009

~ 28 TB Disk Spaces

Client Tools which are used for Data Analytics

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PI Asset Framework Find Existing

Equipment Model Template Switching Based On Software Version

Template Switching Based On Unit Conversion

Categorizing Equipment Component Level

Notification To Add Missing Model

Asset Update

Asset Onboard

AF Table for Auto Onboard

PSI

KPI

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Actionable Notification

Recommendation Work flow to track the alerts in customer facing portal

Email or text messages with active alerts with actionable information

Alert notification on the Asset view

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Real Time Dashboard Enabled by PI Vision

Real Time Dashboard provides Operational view at the site, asset level

Organized views provides details about specific system and sub system

Site level details gives a complete overview of asset operations

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BI Integrator

PI Business Intelligence Integrator

Emission Reporting

• Leveraging BI Integrator to create production or site operation related reports such as battery health, emission reporting etc.

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Customer Facing UI Leveraging ThingWorx

Asset Location Tracking and Alerts overview

Basic Asset Information

Equipment Utilization information

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Augmented Reality

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Results:

• Implementation of data standards has allowed to automate and streamlined the process for PI tag creation & interface file creation– Before process involved manual steps ~ 60%

• Automated AF management – automated channel true ups, template construction, element management reduced manual work upto 75%

• Integration with ThingWorx provides a platform to provide dealers/customers operational insight with all tracking information – provides a visibility to site management what is being worked on

Results & Next Steps

Next Steps:

• Analytics leveraging webapi on predictive analytics and productivity

• Integration of process data

• SAP Integration

• Expand AR capabilities

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RESULTS CHALLENGE SOLUTION

COMPANY and GOAL

24 #OSIsoftUC #PIWorld ©2018 OSIsoft, LLC

Summary

Empower dealers and customer with operational insight about their operation. This vision was enabled

by integration between OSIsoft and ThingWorx

To achieve end to end integration for asset onboarding to integration leveraging data standards

MIMOSA data standards, integration with ThingWorx leveraging webapi Ena

End to end automation was achieved from connectivity to operational Insight

• MIMOSA Data Standards

• Osisoft PI, AF SDK, PI Vision

• Webapi

• Thingworx, d3js

• 60% reduction in asset onboarding

• 75% reduction in the AF management

• Thingworx integration extends benefits to customer and enables AR capabilities

• Connectivity delays

• Data Standards

• AF Management

• Management portal for operational insight

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Speaker Info

• Terri Lewis

• LEWIS_TERRI_L@cat.com

• Digital & Technology Director

• Caterpillar Inc

• Ankit Dhorajiya • Dhorajiya_Ankit@cat.com

• Digital Analytics Specialist

• Caterpillar Inc

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Questions

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microphone before asking

your questions

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name & company

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for this session

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Thank You

Merci

Grazie