System Integration from Connectivity to Operational Insight: Leveraging PI System · 2018. 4....
Transcript of System Integration from Connectivity to Operational Insight: Leveraging PI System · 2018. 4....
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System Integration from Connectivity to Operational Insight:
Leveraging PI System
Terri Lewis – Digital & Technology Director
Ankit Dhorajiya – Digital Analytics Specialist
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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
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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
• Digital & Technology Director
• Caterpillar Inc
• Ankit Dhorajiya • [email protected]
• Digital Analytics Specialist
• Caterpillar Inc
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