Connecting the smart factory to the cloud with MQTT and Sparkplug

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This document summarizes a webcast about connecting smart factories to the cloud using MQTT and Sparkplug. It introduces the speakers and discusses challenges with traditional OT systems, how MQTT and Sparkplug address these challenges, and key concepts of Sparkplug. It also previews a live demo showing how devices in a factory can securely communicate with cloud services using MQTT and Sparkplug without requiring any new software installations.

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WELCOME TO OUR WEBCAST
We will start this session shortly

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Copyright © by HiveMQ. All Rights Reserved.
Connecting a
Smart Factory to
the Cloud with
MQTT &
Sparkplug

Copyright © by HiveMQ. All Rights Reserved.
Ian Skerrett
HiveMQ Head of Marketing
@ianskerrett
linkedin.com/in/ianskerrett/
Benson Hougland
Opto 22 VP of Marketing & Strategy
linkedin.com/in/bhougland/
Our Speakers
Jeff Knepper
Canary Labs Executive Director of
Business Development
linkedin.com/in/jeff-knepper-0a0b81a/

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Making it easy to connect a Smart Factory

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Connecting more diﬃcult with brownﬁelds
Factory

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Location 1
Location 2
More complexity with different location and
applications

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Siloed OT Systems - No Interoperability

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• Diﬃcult to change workﬂows and processes
• Diﬃcult to analyze data across the entire system
• Diﬃcult to setup a new system/facilities
Challenges of OT Systems Today

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Decoupled Architecture

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● Decoupled devices and applications
● Publish/Subscribe protocol
● Scalable and extensible
● Robust and reliable
MQTT Offers

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Sparkplug Adds to MQTT:
● Topic namespace
● Data Model and Structure
● Extensible process variable payload
● Deﬁnes MQTT state management
Introducing Sparkplug

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Key Concepts:
● Continuous session awareness
● Report by exception
● Interoperability by consistent data format
● Auto discovery
● Uniﬁed namespace
Sparkplug Key Concepts

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MQTT Sparkplug Architecture

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Factory to Cloud
● Secure communication
● Bidirectional
● Devices not exposed to
the Internet

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Demo - In 30 minutes
Opto 22 Oﬃces
California
Managed MQTT Service
AWS Region
Frankfurt, Germany
Hosted Canary
Axiom
AWS Region
East Coast USA
MQTT
Sparkplug
messages
No Software To Install
MQTT
Sparkplug
messages

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❖ Cloud managed services simplify getting started
➢ No Software Installation Required
❖ Sparkplug standard makes it possible to integrate out the box
❖ Sparkplug architecture is extensible
➢ New hardware and software can be added with no changes
Summary

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Sparkplug Landscape

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Resources
HiveMQ Cloud - Free for up to 100 MQTT clients
MQTT Essentials - Resources for learning about MQTT
HiveMQ Sparkplug Resources

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Resources
Industrial Strength MQTT/Sparkplug B White Paper
Getting an Edge in Automation Webinar
groov EPIC Speciﬁcations & Features
groov RIO Resources

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Resources
Axiom Demo
Pricing Calculator
info@canarylabs.com

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Poll
Q&A

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THANK YOU

This presentation displays the combination of existing MQTT message transport technologies provided by the Eclipse Paho IoT technologies combined with the Eclipse Tahu technology in making this technology applicable to the OT sector by defining the MQTT semantics of Topic Namespace, Process Variable centric Payloads and State Awareness of MQTT but applying that to IT-centric requirements of OT tag metrics and context. We need/must apply the same notions of the IoP to the IIoT. But we must satisfy the OT requirements of real-time, mission-critical aspects of the infrastructure first while embracing required IIoT hooks.

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The manufacturing industry is characterized by factory equipment that communicates via proprietary protocols that make it very difficult to consolidate data from a factory to implement deep data analysis or machine learning algorithms. Apache PLC4X with MQTT are well suited to free your manufacturing data so companies can begin a modernization of their manufacturing processes. This webinar will discuss the 4 freedoms offered by Apache PLC4X & MQTT: Apache PLC4X is free open source software so developers have access to the source code. Free and open standards, like MQTT, are used to transmit the factory data to the cloud. Freedom to choose the implementation language through the different languages SDKs offered by Apache PLC4X. and, freedom on license costs since Apache PLC4X is open source. About the Speakers. Florian serves as the head of the HiveMQ support team with years of first-hand experience overcoming challenges in achieving reliable, scalable, and secure IoT messaging for enterprise customers. Christofer Dutz is Senior Software Engineer at Mapped To watch the webinar recording: https://www.hivemq.com/webinars/free-your-manufacturing-data-with-apache-plc4x-and-mqtt/

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Edge computing is becoming an important part of an IoT architecture. Microsoft’s IoT Edge runtime can manage different containers at the edge, including HiveMQ. In this webinar, IoT and MQTT experts show the steps for deploying the HiveMQ broker on Microsoft Azure IoT Edge and then how to use HiveMQ to send MQTT messages to the cloud. About the Speakers. Christoph Schäbel -practical MQTT expert with multiple years of experience in the field. HiveMQ Core Developer. Has a background in scalable and reliable distributed systems and robotics. Kresimir Galic - independent contractor with strong software engineering experience. Certified Azure Solutions Architect and a technical blogger. To watch a webinar: https://www.hivemq.com/webinars/machine-to-machine-communication-with-microsoft-azure-iot-edge-and-hivemq/

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Connecting the smart factory to the cloud with MQTT and Sparkplug

3. Copyright © by HiveMQ. All Rights Reserved. Ian Skerrett HiveMQ Head of Marketing @ianskerrett linkedin.com/in/ianskerrett/ Benson Hougland Opto 22 VP of Marketing & Strategy linkedin.com/in/bhougland/ Our Speakers Jeff Knepper Canary Labs Executive Director of Business Development linkedin.com/in/jeff-knepper-0a0b81a/

8. Copyright © by HiveMQ. All Rights Reserved. • Difficult to change workflows and processes • Difficult to analyze data across the entire system • Difficult to setup a new system/facilities Challenges of OT Systems Today

11. Copyright © by HiveMQ. All Rights Reserved. Sparkplug Adds to MQTT: ● Topic namespace ● Data Model and Structure ● Extensible process variable payload ● Deﬁnes MQTT state management Introducing Sparkplug

12. Copyright © by HiveMQ. All Rights Reserved. Key Concepts: ● Continuous session awareness ● Report by exception ● Interoperability by consistent data format ● Auto discovery ● Uniﬁed namespace Sparkplug Key Concepts

14. Live Demo

16. Copyright © by HiveMQ. All Rights Reserved. Demo - In 30 minutes Opto 22 Oﬃces California Managed MQTT Service AWS Region Frankfurt, Germany Hosted Canary Axiom AWS Region East Coast USA MQTT Sparkplug messages No Software To Install MQTT Sparkplug messages

17. Copyright © by HiveMQ. All Rights Reserved. ❖ Cloud managed services simplify getting started ➢ No Software Installation Required ❖ Sparkplug standard makes it possible to integrate out the box ❖ Sparkplug architecture is extensible ➢ New hardware and software can be added with no changes Summary

19. Resources

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