This document discusses how instrumentation in process industries can serve as data centers in an "Industry 4.0" or "Internet of Things" environment. It describes how instruments internally store various process and service parameters, and how their data can be integrated externally with documents, asset management systems, historians and ERP systems like SAP. The document uses examples of flow meters and analyzers to illustrate the internal data sources. It discusses how traditional automation architectures have limitations in utilizing all this digital field information, but that modern approaches using web technologies allow instruments to interact as part of the Internet of Things. One practical example shown is a cooperation between Endress+Hauser and Actemium to integrate instrument data into workflows between asset management, remote

1. Products Solutions Services
Instrumentation in the “Factory of the Future”
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2. Industry 4.0 - PraticalApproach
Slide 2 05/23/2016 Jeroen Wynants
Agenda
• Big Data – The Instrument as Data Center
• Internal Information – Information coming from the instrument
• External Information – Documents and information around the instrument
• Internet of things
• Traditional ISA95 limitations
• IoT – creating additional value
• Practical Example ( added value of Cooperation with Actemium )

3. Products Solutions Services
Big Data
The Instrument as Data Center
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4. The instrument as data center – Internal information
Industry 4.0 - PraticalApproach
• Primary values:
• Mass Flow
• Volume Flow
• Density
• Viscosity (option)
• Temperature
• Process Analytical Parameters:
• Entrained Air detection
• Cavitation detection
• Empty tube
• Build up/Corrosion
( based on Tube damping/tube oscillation variation..)
• Service and Qualityinformation
• Latest test report ( storedin flowmeter ! )
• Number of working hours
• Zero point and drift
• On site verification protocols
• …..
Modern “Smart Instrumentation” contains a multitude of information : Example mass flow …
• Continuous self monitoringNE107)
• CPU/ISEM
• I/O module
• ExciterCoils
• Pick upCoils
• Power Supply
• Temperature sensors
• Data and event logging
• Event logging
• NE107
• Min/max values
• Time stamped Proof testreport
• Integration files ( EDS )
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Similar functionalities can be found in Level instruments, Analytical transmitters, Energy calculators,
Temperature transmitters ….

5. The instrument as data center – External Information
Industry 4.0 - PraticalApproach
Certificates
Hardware versions
Configuration Data
Repair Reports
Technical Specifications
Manuals
Spare Parts
Product Status
Software versions
Service Reports
AssetInformationplatform centrallygroupsallrelevant
informationanddocumentsaboutyour instrument.
Calibration Reports
Drivers Profibus, FF, HART…
Replacement Products
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6. Products Solutions Services
Internet of Things
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7. Internet of Things
2000
Industry 4.0 - PraticalApproach
Industry 4.0 – internet of things
Example: Error message of device being used to trigger a workorder in SAPPM
Disruption of the Automation Pyramid
1. Classic Information model is perfect for
Process Automation needs
2. Limitations occur when additional digital field
information is used in other systems ( e.g.
Historian databases, CMMS, SAP, ….
3. Often due to legacy systems/components the
information flow is stopped
4. Expensive/complicated integration path
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8. Internet of Things
2000
Industry 4.0 - PraticalApproach
Industry 4.0 – internet of things
Example: Error message of device being used to trigger a workorder in SAPPM
Disruption of the Automation Pyramid
2015+
Controlsystem
Document
management
Historian
SAP
Cloud
BPI
1. Web technologies move into the field.
Automation becomes one application ofthe
“Internet of Things”
2. Ethernet communication, WiFi, Web serverin
Field instruments
3. “Industry 4.0” builds on the “Internet ofThings”,
customers gain in efficiency and productivity. In
thinking it is revolutionary – realization comes
stepwise
4. More components will be designed as interacting
“Cyber physical Systems”
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9. Internet of Things
Industry 4.0 - PraticalApproach
2000
Internet
2015+
Cloud
BPI
1. Modern smart instrumentation contains a lot of important Process and Maintenance information
2. The “internet of things” allows us to easily use this information to ( examples );
• Optimise process Analysis
• Optimise Maintenance management
• Optimise Purchase processes
• Combined with remote acces possibilities and advanced Service concepts this approach helps to createadded
value.
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10. Products Solutions Services
Practical Examples
Data Integration and workflow from real life customers
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11. Industry 4.0 - PraticalApproach
Endress+Hauser – Actemium cooperation
Historian
Service results from:
- Customer (CMMS)
Control
System
Remote inspection executed
& Managed by service provider
Condition
Monitoring
Integration
middleware
Maintenance
Management
Remote
Session
Asset Information
Instrument specific
Central Assetinformation
Send notification
to Service supplier
Store data
in historian
Update status
in Asset Logbook
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12. Products Solutions Services
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