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Dominik Obermaier and Anja Helmbrecht-Schaar [HiveMQ] | IIoT Monitoring with MQTT Sparkplug, HiveMQ and InfluxDB | InfluxDays EMEA 2021
The aim of the session is to show how a modern and resource-saving industrial IoT architecture can be built with the help of MQTT Sparkplug, HiveMQ and InfluxDB. Starting with challenges in classic OT/IT systems, the concepts of Sparkplug will be explained, and the session will cover how they can be implemented with MQTT to fulfill requirements for a modern IIoT solution. Attendees will also learn the entire setup process.
The aim of the session is to show how a modern and resource-saving industrial IoT architecture can be built with the help of MQTT Sparkplug, HiveMQ and InfluxDB. Starting with challenges in classic OT/IT systems, the concepts of Sparkplug will be explained, and the session will cover how they can be implemented with MQTT to fulfill requirements for a modern IIoT solution. Attendees will also learn the entire setup process.
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