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Dominik Obermaier | CTO & Co-Founder,
HiveMQ
Anja Helmbrecht-Schaar | Senior Consultant,
HiveMQ
IIoT Monitoring with
MQTT Sparkplug,
HiveMQ and InfluxDB
© 2021 InfluxData. All rights reserved. 2
| IIoT Monitoring - with MQTT Sparkplug, HiveMQ and InfluxDB
Dominik Obermaier
HiveMQ CTO & Co-founder
@dobermai linkedin.com/in/dobermai/
Anja Helmbrecht-Schaar
Senior Consultant
linkedin.com/in/anjahelmbrechtschaar/
© 2021 InfluxData. All rights reserved. 3
| Introduction to HiveMQ
• Founded in 2012, based outside of Munich
• HiveMQ helps move data to and from connected devices in an
efficient, fast and reliable manner
• 130+ customers with production IoT applications
© 2021 InfluxData. All rights reserved. 4
| HiveMQ Platform
● High availability
● 100% MQTT compliant
● Scalability
● Observability
● Enterprise Security
And the Gap between IT and OT
Status Quo in IIoT
© 2021 InfluxData. All rights reserved. 6
| Lots of Data Silos
© 2021 InfluxData. All rights reserved. 7
| Coupled Infrastructure
© 2021 InfluxData. All rights reserved. 8
| Siloed OT Systems - No Interoperability
| Challenges
● Difficult to change workflows and processes
● Difficult to setup a new system/facility
● Difficult to analyze data across the entire system
© 2021 InfluxData. All rights reserved. 10
| Decoupled Architecture
| Decoupled clients and broker
| Publish/Subscribe protocol
| Extensible
| Reliable
© 2021 InfluxData. All rights reserved. 12
| Pub/Sub Pattern
| There are still issues
● Devices and endpoints have different topics, payloads and
data structures
● Applications assuming specific formats and structure
● Data agnostic, payload must be interpreted but no
context
A simple, open specification, that will enable plug and play
interoperability between IIoT devices and IIoT applications.
Introducing Sparkplug
Sparkplug defines:
● The Topic namespace
● A Data Model and Structure
● An extensible process variable payload
● MQTT state management
KEY CONCEPTS
Sparkplug
● Continuous Session Awareness
● Report by Exception
● Interoperability by consistent data format
● Auto Discovery
© 2021 InfluxData. All rights reserved. 16
| Sparkplug enabled Architecture
● Ideal for real time data
● Direct Integration
● Includes Monitoring Dashboard
● Could Replace Historian and Analytics
Adding InfluxDB
© 2021 InfluxData. All rights reserved. 18
| HiveMQ with Sparkplug & InfluxDB
| DEMO
© 2021 InfluxData. All rights reserved. 20
| Sparkplug Scenario simulated with HiveMQ & InfluxDB
Sparkplug
Extension
hivemq
© 2021 InfluxData. All rights reserved. 21
| Sparkplug Scenario - what was visualized
All Participants send data in a predefined protobuf schema
Devices forward Data to an
EoN
The topic structure is predefined namespace/group_id/message_type/edge_node_id/[device_id
]
The message types are predefined
© 2021 InfluxData. All rights reserved. 22
| Sparkplug Scenario - Participants
spBv1.0/location1/ STATE/Scada_1
$messageType
[NBIRTH,DBIRTH,NDATA,DDATA,NDEATH,DDEATH]
spBv1.0/location1/ $messageType /$eonId/$devId
spBv1.0/location1/ $messageType /$eonId
spBv1.0/location1/#
spBv1.0/location1/DCMD/$eonId/#
spBv1.0/location1/NCMD/$eonId/#
Subscribe topics
Publish topics
Connect EoNs and Subscribe
Publish BIRTH per device & EoN
Publish DATA per device & EoN
Publish DEATH per device & EoN
Disconnect EoNs that triggers DEATH message
Connect Scada Host and Subscribe
Publish STATE
Publish Command data
MQTT Messages
MQTT Clients
Scada_1
$eonId
$deviceId
spBv1.0/location1/NCMD/ $eonId
spBv1.0/location1/DCMD/ $eonId/$devId
© 2021 InfluxData. All rights reserved. 23
| Metric & Device data visualization - Sparkplug InfluxDB Extension
| Further Information
● Download HiveMQ: https:/
/www.hivemq.com/downloads/
● Our marketplace: https:/
/www.hivemq.com/extensions/
● MQTT Essentials: https:/
/www.hivemq.com/tags/mqtt-essentials/
● Sparkplug Essentials: https:/
/www.hivemq.com/mqtt-sparkplug-essentials/
● Github: https:/
/github.com/hivemq
● Contact HiveMQ: contact@hivemq.com
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Dominik Obermaier and Anja Helmbrecht-Schaar [HiveMQ] | IIoT Monitoring with MQTT Sparkplug, HiveMQ and InfluxDB | InfluxDays EMEA 2021

  • 1. Dominik Obermaier | CTO & Co-Founder, HiveMQ Anja Helmbrecht-Schaar | Senior Consultant, HiveMQ IIoT Monitoring with MQTT Sparkplug, HiveMQ and InfluxDB
  • 2. © 2021 InfluxData. All rights reserved. 2 | IIoT Monitoring - with MQTT Sparkplug, HiveMQ and InfluxDB Dominik Obermaier HiveMQ CTO & Co-founder @dobermai linkedin.com/in/dobermai/ Anja Helmbrecht-Schaar Senior Consultant linkedin.com/in/anjahelmbrechtschaar/
  • 3. © 2021 InfluxData. All rights reserved. 3 | Introduction to HiveMQ • Founded in 2012, based outside of Munich • HiveMQ helps move data to and from connected devices in an efficient, fast and reliable manner • 130+ customers with production IoT applications
  • 4. © 2021 InfluxData. All rights reserved. 4 | HiveMQ Platform ● High availability ● 100% MQTT compliant ● Scalability ● Observability ● Enterprise Security
  • 5. And the Gap between IT and OT Status Quo in IIoT
  • 6. © 2021 InfluxData. All rights reserved. 6 | Lots of Data Silos
  • 7. © 2021 InfluxData. All rights reserved. 7 | Coupled Infrastructure
  • 8. © 2021 InfluxData. All rights reserved. 8 | Siloed OT Systems - No Interoperability
  • 9. | Challenges ● Difficult to change workflows and processes ● Difficult to setup a new system/facility ● Difficult to analyze data across the entire system
  • 10. © 2021 InfluxData. All rights reserved. 10 | Decoupled Architecture
  • 11. | Decoupled clients and broker | Publish/Subscribe protocol | Extensible | Reliable
  • 12. © 2021 InfluxData. All rights reserved. 12 | Pub/Sub Pattern
  • 13. | There are still issues ● Devices and endpoints have different topics, payloads and data structures ● Applications assuming specific formats and structure ● Data agnostic, payload must be interpreted but no context
  • 14. A simple, open specification, that will enable plug and play interoperability between IIoT devices and IIoT applications. Introducing Sparkplug Sparkplug defines: ● The Topic namespace ● A Data Model and Structure ● An extensible process variable payload ● MQTT state management
  • 15. KEY CONCEPTS Sparkplug ● Continuous Session Awareness ● Report by Exception ● Interoperability by consistent data format ● Auto Discovery
  • 16. © 2021 InfluxData. All rights reserved. 16 | Sparkplug enabled Architecture
  • 17. ● Ideal for real time data ● Direct Integration ● Includes Monitoring Dashboard ● Could Replace Historian and Analytics Adding InfluxDB
  • 18. © 2021 InfluxData. All rights reserved. 18 | HiveMQ with Sparkplug & InfluxDB
  • 20. © 2021 InfluxData. All rights reserved. 20 | Sparkplug Scenario simulated with HiveMQ & InfluxDB Sparkplug Extension hivemq
  • 21. © 2021 InfluxData. All rights reserved. 21 | Sparkplug Scenario - what was visualized All Participants send data in a predefined protobuf schema Devices forward Data to an EoN The topic structure is predefined namespace/group_id/message_type/edge_node_id/[device_id ] The message types are predefined
  • 22. © 2021 InfluxData. All rights reserved. 22 | Sparkplug Scenario - Participants spBv1.0/location1/ STATE/Scada_1 $messageType [NBIRTH,DBIRTH,NDATA,DDATA,NDEATH,DDEATH] spBv1.0/location1/ $messageType /$eonId/$devId spBv1.0/location1/ $messageType /$eonId spBv1.0/location1/# spBv1.0/location1/DCMD/$eonId/# spBv1.0/location1/NCMD/$eonId/# Subscribe topics Publish topics Connect EoNs and Subscribe Publish BIRTH per device & EoN Publish DATA per device & EoN Publish DEATH per device & EoN Disconnect EoNs that triggers DEATH message Connect Scada Host and Subscribe Publish STATE Publish Command data MQTT Messages MQTT Clients Scada_1 $eonId $deviceId spBv1.0/location1/NCMD/ $eonId spBv1.0/location1/DCMD/ $eonId/$devId
  • 23. © 2021 InfluxData. All rights reserved. 23 | Metric & Device data visualization - Sparkplug InfluxDB Extension
  • 24. | Further Information ● Download HiveMQ: https:/ /www.hivemq.com/downloads/ ● Our marketplace: https:/ /www.hivemq.com/extensions/ ● MQTT Essentials: https:/ /www.hivemq.com/tags/mqtt-essentials/ ● Sparkplug Essentials: https:/ /www.hivemq.com/mqtt-sparkplug-essentials/ ● Github: https:/ /github.com/hivemq ● Contact HiveMQ: contact@hivemq.com