In the last couple of years, we have observed a rapid and, for many, quite surprising consolidation of standards in the industrial automation arena. Built on proven existing base standards and with an extensible model, the OPC Foundation's Unified Architecture has emerged as the clear winner for horizontal integration of production environments and vertical integration of such environments with their attached IT systems. In this talk, we will discuss the next set of challenges that lie ahead given this common foundation: Each production line may have dozens of different stakeholders, from sensor to system, who each want to provide predictive-maintenance, remote-management, or X-as-a-service within that one production line as their I4.0 business objective. How does a sensor manufacturer get access to what telemetry from their product inside a component that is part of a machine installed in a production line? And through what path might they make a machine-learned optimizing correction?

1. Clemens Vasters, Architect.
Microsoft Azure Messaging
@clemensv
Member of the OPC Foundation’s UA Working Group
and the Technical Advisory Committee
April 26, 2017

3. Primary Objectives
Safe, precise, reliable, and predictable operation of physical
equipment
Primary Constraints
Hard real-time
Limited device footprint
Physical Safety and Security
Predictability and Reliability
Trade-Secret Protection
Developer Skills
Process control
Physical systems
Low-level systems integration
Developer Tools
Domain languages and Graphical IDEs
SPS EN-61131-3
C/C++
Development Process
Waterfall, Defensive, Quality Driven
System Scope
Component, Machine, Line (Local site)
Primary Objectives
Secure, reliable, and highly available operation of data
storage and processing systems
Primary Constraints
Security
Reliability, Availability, and Scalability
Operations cost, workload density
Developer Skills
Data management and analytics
Visualization
Large-scale and wide-area distributed systems integration
Cloud/datacenter “DevOps“
Developer Tools
Java/Scala, C#, NodeJS, Swift, R
SQL/NewSQL, Hadoop, Spark
Azure/AWS IaaS/PaaS
Development Process
Agile, Aggressive, Schedule Driven
System Scope
Datacenter, Cloud (Global systems)

4. Device
OPC UA Server
Address Space
Capabilities
“Message Writer”Published Items
Event
Event
Data (Query)
Data (Query)
Encoding
Msg Security
Transport
AMQP 1.0
Local and Cloud Messaging Infrastructure
Microsoft Azure IoT Hub, Azure Event Hubs, IBM MQ, IBM Watson IoT, AWS IoT,
Red Hat A-MQ, Apache Active MQ, Apache Qpid, etc.
MQTT (Future)
UDP
TSN
Device
Device
IT
OT

5. Device
OPC UA Server
Address Space
Capabilities
“Message Writer”Published Items
Event
Event
Data (Query)
Data (Query)
Encoding
Msg Security
Transport
AMQP 1.0
MQTT (Future)
UDP
TSN
Device
Device
IT
OT
Properties reflect the
state of physical or logical
conditions or the
configuration of a device
Properties are logically
structured, usually
following common
conventions, in the
device‘s Address Space
Published Items are
records composed from
queries into the Address
Space
Published Items rendered
into messages using a
selected encoder and
onto a chosen transport
External IT integration will
choose JSON encoding and
AMQP transports as default
with MQTT and option.
Local pub-sub with
OPC Binary and UADP,
later with TSN support

6. • Part 14 of the OPC UA Specification
• Published as part of the Release Candidate for OPC UA 1.04
• Covers two broad use-case areas
• Device peer-to-peer, multicast distribution of information
• Shop floor distribution of condition and state to other devices
• Reach into predictable, hard real-time with support for Time-Sensitive Networking (TSN)
• Integration with message-oriented middleware
• Send condition and state information into generic, open standards-based messaging
infrastructure (AMQP 1.0 and, soon, MQTT5)
• Capture in message infrastructure for event capture and replay (e.g. Azure IoT Hub)
• Route towards MES, other downstream IT systems, and cloud-based analytics and managment
platforms
Restofthistalk

7. Device
OPC UA Server
Address Space
Sensor
Capabilities
“Message Writer”Published Items
Event
Event
Data (Query)
Data (Query)
Encoding
Msg Security
Transport
Operator Cloud
Plant Integrator
Cloud
Machine
Manufacturer B
Cloud
Machine
Manufacturer A
Cloud
Sensor
Manufacturer
Cloud How does the
right data get
here?

9. Product Owner
Manufacturer
Factory Operator
Line Operator
Machine
Component
Sensor
Sensor maker’s predictive maintenance services
DataCtrl
DataCtrl
DataCtrl
DataCtrl
DataCtrl
DataCtrl

13. Product Owner
Manufacturer
Factory Operator
Line Operator
Machine
Component
Sensor
Sensor maker’s predictive maintenance services
DataCtrl
DataCtrl
DataCtrl
DataCtrl
DataCtrl
DataCtrl
Strong security foundation with hardware-root-of-
trust; federated identity, access control, data
provenance and integrity management
Use common protocols and data encodings.
Establish agreement on semantics of information
flowing in the system
Identify, delineate, and route data streams from and
to machines and components
Understand, inspect, filter, and potentially fuzz
data-flow in and out of the facility scope, and
declare any such modifications.
Process info knowing that some may have been
fuzzed or withheld. Leverage communication paths
to the product site through third parties.

14. Cell Cell Cell
SCADA Line
MESFactory
ERP, CRM, Predictive Maintainenance, Remote Servicing
On-Premises
Factory Environment
Cloud Environment
VPN
Firewall
Firewall
FirewallFirewall
Some network
segmentation, internal
firewalls, direct network
routing
Site-to-site
integration with VPN
(fusing networks)
Requires extreme
management discipline
while providing little
control

15. Cell Broker Cell Broker
Cell Cell Cell
Cell Broker
SCADA
Line Broker
Line
MES
Factory Bus
Factory
Cloud Gateway Broker
ERP, CRM, Predictive Maintainenance, Remote Servicing
OPC UA
OPC UA OPC UA
AMQP/MQTT AMQP/MQTT AMQP/MQTT
AMQP
AMQP
AMQP
On-Premises
Factory Environment
Cloud Environment Telemetry Ingestor
Brokers. Dual NIC.
Full network isolation, no
network-level route into
cell.
Logical addressing, not
tied to network
addressing
Temporal decoupling,
delivery assurances
Site-to-site
integration with
full network
isolation.

16. Cell Broker Cell Broker
Cell Cell Cell
Cell Broker
SCADA
Line Broker
Line
MES
Factory Bus
Factory
Cloud Gateway Broker
ERP, CRM, Predictive Maintainenance, Remote Servicing
OPC UA
OPC UA OPC UA
AMQP/MQTT AMQP/MQTT AMQP/MQTT
AMQP
AMQP
AMQP
On-Premises
Factory Environment
Cloud Environment Telemetry Ingestor
Logical addressing, not
tied to network
addressing
Temporal decoupling,
delivery assurances
Data delineation,
filtering, modification,
enrichment, policy
enforcement
Data delineation,
filtering, modification,
enrichment, policy
enforcement
Data delineation,
filtering, modification,
enrichment, policy
enforcement

18. Metamodels
Data Flow

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