The document provides an introduction to Amorph Systems and their SMARTUNIFIER product. It introduces Frank Frauenhoffer as the Managing Director of Amorph Systems and discusses their key business domains of Airport Solutions and Industrial Solutions. It then focuses on describing SMARTUNIFIER, their integration platform that aims to provide unified IT integration across heterogeneous systems in a simple, fast and powerful way. It discusses challenges of current industry landscapes and how SMARTUNIFIER addresses interoperability needs. The document provides examples of how SMARTUNIFIER can be deployed and operated in different scenarios, as well as its application areas and use cases.

2. 2 Copyright Amorph Systems GmbH; confidential
Introduction
Frank Frauenhoffer
Managing Director
Development & Operations
• Founder and Managing Director of
Amorph Systems
• Over 20 Years Experience in Automation and
Vertical Integration
• Worked in many Industries, e.g. Automotive,
Electronics, Semiconductor, Photovoltaic, etc.
• Leader of SMARTUNIFIER Product Development
• Based in Stuttgart, Germany
• Contact
email: frank.frauenhoffer@amorphsys.com
mobile: +49 151 51094525

3. 3 Copyright Amorph Systems GmbH; confidential
Amorph Systems at a Glance
Amorph Systems was founded with the clear
vision to provide the best IT products & services
for integration and operation of complex logistics
systems. „Transform Data into Value!“
Key Business Domains are:
Airport Solutions Industrial Solutions

4. 4 Copyright Amorph Systems GmbH; confidential
AIRPORT SOLUTION: AMORPH.aero

5. 5 Copyright Amorph Systems GmbH; confidential
INDUSTRY SOLUTION: SMARTUNIFIER
File based (e.g. CSV, XML)
Webservices / REST
OPC-UA
ISO/TCP
SEMI SECS II and SEMI PV2
MQTT
Beckhoff
Siemens S7
...
File based (e.g. CSV, XML)
Webservices / REST
OPC-UA
IBM MQ
ActiveMQ
MQTT
SAP MII
Database (SQL)
ISO/TCP
SEMI SECS II and SEMI PV2
AZURE
AWS
Mindsphere
...
Equipment Devices
Information Models
Mappings
Enterprise Context
Simulation
SMARTUNIFIER
Channel 1
Protocol 1
Channel 2
Protocol 2
Channel 3
Protocol 3
Channel 4
Protocol 4
Channel 5
Protocol 5
Channel 6
Protocol 6
Channel 8
Protocol 8
SMARTUNIFIER
BRINGS
SEMANTICS
TO DATA
Dashboard
Analytics
Channel 7
Protocol 7
Automation
Components

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SMARTUNIFIER
Unified IT Integration
SIMPLE
FAST
POWERFUL

7. 7 Copyright Amorph Systems GmbH; confidential
But how does Reality look like in Industry now?
Anlage
Up to Date Reality Example (Shopfloor)
§ Heterogeneous shopfloor equipment / factories
§ Non-standardized interfaces
§ Historical grown IT landscapes
§ Industry 4.0 requires a network where „every thing
communicates with every thing“ (IIoT) – Need for
interoperability
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Non-standardized Communication / No Semantic
Data
Lake
interfaceA
interfaceB
interfaceC
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の製造が必要です。 ダイエットは
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ストの終わり

8. 8 Copyright Amorph Systems GmbH; confidential
SMARTUNIFIER Integration Platform
Flexible & Scalable: Parallel Connection of Multiple IT-Systems
File based (e.g. CSV, XML)
Webservices / REST
OPC-UA
ISO/TCP
SEMI SECS II and SEMI PV2
MQTT
Beckhoff
Siemens S7
...
File based (e.g. CSV, XML)
Webservices / REST
OPC-UA
IBM MQ
ActiveMQ
MQTT
SAP MII
Database (SQL)
ISO/TCP
SEMI SECS II and SEMI PV2
AZURE
AWS
Mindsphere
...
Equipment Devices
Information Models
Mappings
Enterprise Context
Simulation
SMARTUNIFIER
Channel 1
Protocol 1
Channel 2
Protocol 2
Channel 3
Protocol 3
Channel 4
Protocol 4
Channel 5
Protocol 5
Channel 6
Protocol 6
Channel 8
Protocol 8
SMARTUNIFIER
BRINGS
SEMANTICS
TO DATA
Dashboard
Analytics
Channel 7
Protocol 7
Automation
Components

9. 9 Copyright Amorph Systems GmbH; confidential
SMARTUNIFIER
Simple: Example of a Mapping
• Triggers & Actions
can be defined
graphically
(Drag&Drop) to
transfer information
from any source
device to any
destination device
or IT System.
• The used
communication
protocol (e.g. PLC,
OPC-UA, file, DB,
...) for each
communication
channel is hidden.
Connected to Native PLC Connected with OPC-UA

10. 10 Copyright Amorph Systems GmbH; confidential
Operation of SMARTUNIFIER Integration Platform
SMARTUNIFIER-Manager and Instances
Runs in
Data Center
Runs on
Industrial PCs
Runs on
SMARTUNIFIERBOX™
SMARTUNIFIER can be operated at the Edge, On-Premise, in Data Centers or in Cloud Platforms. Hybrid
Deployments are supported as well.
Possible
Operation
Types
Runs in Platforms
(SaaS, PaaS)
Information Model
Mapping
Enterprise Context
Simulation
SMARTUNIFIER
Examples

11. 11 Copyright Amorph Systems GmbH; confidential
Operation of SMARTUNIFIER Integration Platform
SMARTUNIFIER-Manager and Instances
SmartUnifier
SmartUnifier
SMARTUNIFIER
Instance
SMARTUNIFIER
Manager
• Dashboard
• Information Models
• Mappings
• Deployments
• Communication
Instances
Information Model
Mapping
Enterprise Context
Simulation
SMARTUNIFIER
Deployment
Management
Monitoring
SMARTUNIFIER is based on a fully decentral system architecture (Swarm) using Container Technologies for
virtually unlimited scalability.

12. 12 Copyright Amorph Systems GmbH; confidential
Operation of SMARTUNIFIER Integration Platform
Example: AWS Cloud Deployment Scenario
SMARTUNIFIER
Manager
SmartUnifier
Instance
SmartUnifier
Instance
SmartUnifier
Instance
SmartUnifier
Instance
SmartUnifier
Instance
SMARTUNIFIER
Instance
SmartUnifier
Instance
SMARTUNIFIER
Instance
SmartUnifier
Instance
SMARTUNIFIER
Instance
SmartUnifier
Instance
SMARTUNIFIER
Instance
Protocol A1 Protocol A2 Protocol A3 Protocol ...
Protocol E1..n Protocol E1..n Protocol E1..n Protocol E1..n
Deployment View
SMARTUNIFIER-
BOX
...
SmartUnifier
Instance
SmartUnifier
Instance
SmartUnifier
Instance
SmartUnifier
Instance
SmartUnifier
Instance
Equipment/
Device
SmartUnifier
Instance
Equipment/
Device
SmartUnifier
Instance
Equipment/
Device
SmartUnifier
Instance
Equipment/
Device
Services/App 1
e.g. MES
Services/App 2
e.g. OEE
Services/App 3
e.g. ERP
Services/App …
e.g. Analytics
Repository
...
AWS Cloud AWS Cloud
AWS CloudAWS Cloud
Data Center Data Center
Industrial PC Data Center
• SMARTUNIFIER
can be deployed
easily at the Edge,
On-Premise as well
as within the Cloud
to accomodate to
any possible
communication
requirement.

13. 13 Copyright Amorph Systems GmbH; confidential
5. Results
Data
Equipment
6. Process
Data
Equipment
7. Results
Data
Operator
MES
Equipment ID-Reader Operator Terminal
1. Read ID
2. Release Order
3. Start Order Processing
4. End of Order Processing
5. Send Equipment Results Data
6. Send Equipment Process Data
7. Send Operator Results Data
Analytics
1. ID
1. ID
2. Release
Order
3. Start
Order
2. Release
Order
3. Start
Order
4. Finish
Order
5. Results
Data
Equipment
4. Finish
Order
6. Process
Data
Equipment
7. Results Data
Operator
5. Results
Data
Equipment
Protocol: OPC-UA
or MQTT/JSON
Protocol:
ActiveMQ
with XML
Protocol:
PLC via TCP-IP
Protocol:
Text via TCP/IP
Protocol:
REST/XML
7. Results
Data
Operator
SMARTUNIFIER
Informationsmodell
Mapping
Enterprise Context
Simulation
SMARTUNIFIER
Operation of SMARTUNIFIER Integration Platform
Practical: Implementation of Communication Workflows
• SMARTUNIFIER is able
to implement whole
communication
sequences, as these are
required in real-world
use case scenarios.
• An Example Workflow
(Car Assembly)
encorporates the
following steps:

14. 14 Copyright Amorph Systems GmbH; confidential
SMARTUNIFIER Integration Platform
System Requirements
System Requirements
• Computer and Processor 1 GHz or faster, x86-bit- or x64-bit-processor
• Memory 512 MB RAM
• Hard Disk / SSD 1 GB free space
• Display PC (Engineering, Dashboard): 1280 x 1024 Resolution
Mobile Devices (Dashboard): Apple iPhone 6 or higher, Android
• Operating System Windows 10, Windows 8, Windows 7, Windows Server 2016,
Windows Server 2012 R2, Windows Server 2012, Linux, MacOS
For an optimal user experience always use the newest version of the operating system
• Browser Current version of Microsoft Edge/Internet Explorer, Safari, Chrome, Firefox
(further Browsers untested)
• Other Docker Container Environment with its latest version
• SMARTUNIFIER
requires low
hardware capacity
only and can be
operated on
numerous
standard hardware
platforms.

15. SMARTUNIFIER
Application Areas and Use Cases

16. 16 Copyright Amorph Systems GmbH; confidential
SMARTUNIFIER Integration Platform
Application Areas and Use Cases
Communication Standards and
Information Modelling
• Migration to Industry Communication
Standards (e.g. OPC_UA, MQTT, DDS, ...)
• Migration to Information Semantics
(Ontologies) Standards
(e.g. EUROMAP,
Automation ML, SECS...)
Flexible Edge and Cloud Integration Digital Transformation Use Cases
• Equipment Monitoring & Control
• Edge Device Monitoring & Control
• Sensor/Actor Monitoring & Control
• Versatile Data Distribution
(Edge, on-premise, Cloud)
• Production IT Systems Integration
(e.g. MES, ERP, OEE, ...)
• Data Lake / Big Data Feeding
• Production Heat Map
• Condition Monitoring
• Real-time Data Analytics
• Predictive Maintenance
• Equipment Self Service
• Production as a Service
• Machine Learning
• Artifical Intelligence
• ...and many more.
SMARTUNIFIER provides seamless and easy to use Intercconnectivity for virtually all important
Use Cases required to successfully perform Digital Transformation and migrate to Industry 4.0
• Southbound / Northbound Communication
• Westbound / Eastbound Communication
• Multi-Protocol and Multi-Channel
Communication
• State-of-the-Art Security
<cloud/>

17. 17 Copyright Amorph Systems GmbH; confidential
Mission: Stepwise Evolution
SMARTUNIFIER leads to the Enterprise Nervous System
EDGE
Objects of an
ENTERPRISE
NERVOUS SYSTEM
INDUSTRIAL RESOURCES
Equipment (EQ)
Sensors (S)
Actors (A)
Goods and Material (GM)
Humans (H)
APPLICATIONS
On-premise (OP)
Cloud (C)
Edge (E)
DATA STORAGES
File System (FS)
Databases (DB)
Data Lakes (DL)
1st Stage: SU as Edge Integration Platform
EQ
A DB
S
S
A
EQ
E ML App
E
AI App
E Mon App
F
SU
SU
SU
SU
SU
SU
Edge GW
Equipment
Connector
Device
Connector
Edge GW
Edge GW
OEM
Connector
H
Operator Terminal /
Smart Device
GM GM
SU
Goods & Material
Equipment
Local File
Storage
SU
SMARTUNIFIER Instance
Traditional
Communication Channel
SMARTUNIFIER
Communication Channel
Supplier CLOUD
C
Predictive
Maintenance App
C
Performance
Dashboard App
C
Production as a
Service App
C
Supplier App
Public CLOUD
C
ERP
Cloud App
DL
DB
C
Enterprise OEE
App
Data Lake
DB Cluster
C
Artificial Intelligence
App
C
Inventory Mgmt
App
FS
File System
Cluster
IOT
IOT
ON-PREMISE /
Outpost CLOUD
SCADA App
OP
OP
OP
OP
Dashboard App
MES
App
ERP
On-Premise
App
FS
OP
OEE App
SU Supplier
Gateway
• 1st Stage: Starting with
Edge Connectivity, step
by step Devices and IT
Systems are integrated
seamlessly into ENS.

18. 18 Copyright Amorph Systems GmbH; confidential
Mission: Stepwise Evolution
SMARTUNIFIER leads to the Enterprise Nervous System
Public CLOUD
EDGE
ON-PREMISE /
Outpost CLOUD
Objects of an
ENTERPRISE
NERVOUS SYSTEM
INDUSTRIAL RESOURCES
Equipment (EQ)
Sensors (S)
Actors (A)
Goods and Material (GM)
Humans (H)
APPLICATIONS
On-premise (OP)
Cloud (C)
Edge (E)
DATA STORAGES
File System (FS)
Databases (DB)
Data Lakes (DL)
EQ
A DB
S
S
A
EQ
E ML App
E
AI App
E Mon App
F
SU
SU
SU
SU
SU
SU
SCADA App
OP
OP
C
Equipment
Connector
Device
Connector
OP
OEE App
OP
OP
Dashboard App
MES
AppEdge GW
SU
SU
Legacy
Protocol
Standard
Protocol
ERP
Cloud App
SU
On Premise
Gateway
ERP
On-Premise
App
DL
DB
FS
C
Enterprise OEE
App
OEM
Connector
SU
Standard
Protocol
OEM
Connector
H
Operator Terminal /
Smart Device
Data Lake
DB Cluster
SU
C
SU
SU
OEM
Connector
Supplier CLOUD
SU
Artificial Intelligence
App
Supplier
Gateway
C
Supplier App
C
Predictive
Maintenance App
Supplier
Gateway
C
Performance
Dashboard App
GM GM
SU
Goods & Material
Equipment
C
SU
Inventory Mgmt
App
FS
File System
Cluster
Local File
Storage
SU
• Long-term: All ENS
Objects are
interconnected and
operate seamlessly with
standardized Enterprise
and Industry Semantics.
IOT
SU
IOT
SU
OEM
Connector
C
Production as a
Service App
SU
SU
OEM
Connector
Internet of
Things
SU
SMARTUNIFIER Instance
Traditional
Communication Channel
SMARTUNIFIER
Communication Channel
Long-term: SU as Enterprise Integration Platform
Legacy
Standard
SU Supplier
Gateway
Edge GW
Edge GW

19. SMARTUNIFIER
Example Use Case with Splunk
Information Model
Mapping
Enterprise Context
Simulation
SMARTUNIFIER
• Seamless Interconnectivity
• from Every Thing to Every Thing
• at any Location
(Edge, On-Premise, Cloud)

20. 20 Copyright Amorph Systems GmbH; confidential
SMARTUNIFIER
Example Use Case: Realtime OEE Monitoring & Analysis
Challenges
• Rapidly integrate production equipment and IOT devices (using simulated equipment) to upper
level Manufacturing Execution Systems (simulated MES) and in parallel to Splunk Enterprise.
• Realise convincing showcase with minimal effort and in shortest time frame.
Business Statement
• Realise an easy to use and convincing demonstrator for calculation and visualization of OEE
Key Performance Indicators (KPIs)
• The demonstrator addresses following areas:
• Production Logistics: Visualization and analysis of fab-wide OEE
• Quality: Correlation of quality problems with process parameters and plant events
• Maintenance: Use of an OEE dashboard for maintenance (Augmented Reality)
Approach with Smart Unifier
• Apply Smart Unifier to integrate simulated production equipment with MES and Splunk
• Create information models and mappings for connection to Splunk Enterprise (REST) and
simulated MES (OPC-UA)
• Map equipment data into structured JSON format for REST-based communication with Splunk
Targets
• Use of Splunk and SmartUnifier for data provision, examination, visualization and analysis
• Overview of the possibilities for KPI monitoring and alarming (-> offline analysis -> automatic
limit value monitoring -> machine learning)
• Example for automated notification of other systems (e.g. MES) based on production data
deviations
• Example for advanced OEE dashboarding with mobile devices (Augmented Reality)
OEE Analysis with Smart Unifier and Splunk Enterprise
MES
Model
EquipmentToMes
Mapping
Equipment
Model
Splunk
Model
Channel M1 Channel S1
Channel E1
EquipmentToSplunk
Mapping
MES
OPC-UA
OPC-UA
REST
OEE

21. 21 Copyright Amorph Systems GmbH; confidential
Line 1 Line 2 Line ...
Line OEE
Facility OEE
Line OEE Line OEE
Events:
- Status Data
- Results
- Process Data
OEE Production Scenario
Overview
Events:
- Status Data
- Results
- Process Data
Events:
- Status Data
- Results
- Process Data
Events:
- Status Data
- Results
- Process Data
Facility Model with multiple Production Lines and Equipment

22. 22 Copyright Amorph Systems GmbH; confidential
MES
Status
Data
Results
Data
Results
Data
Status
Data
1
Status
Data
2 Process
Data 3
Process
Data
1. Sending status data (events)
from the system to Splunk
2. Sending results data (events)
from the line to the MES and
Splunk
3. Sending process data
(high volume events) from the
line to Splunk
OEE-Dashboard
OEE Production Scenario
Information Flow
Sending Status Data, Results Data and Process Data
2 1 2 31
Results
Data

23. 23 Copyright Amorph Systems GmbH; confidential
Overview of the quality
history with emphasis on
defective parts.
Depending on the
operating status, the
corresponding status is
displayed.
Breakdown of the OEE
by sub-components.
Overview of the order
history.
OEE Production Scenario
Dashboard and Analytics Example
Splunk Enterprise Dashboard with Production Data Overview

24. 24 Copyright Amorph Systems GmbH; confidential
Main Differences
Comparison of traditional IT-Interface vs SMARTUNIFIER
SMARTUNIFIERTraditional Interfaces / Middleware
Complex register-based View to Device Data Comfortable Access to Device Data via configurable
Information Models with Semantics
Protocol Mapping from Edge Devices to upper-level IT
Systems needs to be implemented manually
Configurable Protocol Mapping from Devices to
upper level IT Systems
Limited Scalability and Performance /
Typically outdated centralized System Architecture.
Virtually unlimited Scalability / Fully decentralized / High
Performance / Multiple Communication Channels
No Data Semantics Full Support of Data Semantics
Local Deployment of Interfaces or via central
Middleware
Local / Cloud / Hybrid Deployment of the Interfaces
AWS Support / Splunk Support
Not-reusable Interface Implementations for every single
Device Type
Fully reusable Interfaces for similar Device Types
Traditional
Middleware SMARTUNIFIER
Multiple IT-Systems
Multiple Devices/Equipment
Historical – Database-Centric
Bi-directional Communication
Disruptive – Seamless Interconnectivity
Fully Distributed – Unlimited Scalability
Enabler of Digital Transformation
Equipment Devices
Information Models
Mappings
Enterprise Context
Simulation
SMARTUNIFIER
Channel 1
Protocol 1
Channel 2
Protocol 2
Channel 3
Protocol 3
Channel 4
Protocol 4
Channel 5
Protocol 5
Channel 6
Protocol 6
Channel 8
Protocol 8
Dashboard
Analytics
Channel 7
Protocol 7
Automation
Components

25. Q&A
Amorph Systems GmbH
Handwerkstrasse 29
70565 Stuttgart