IoT Use Case

IoT and IIoT Technology Solutions

44 technology solutions in 9 groups, from IoT protocols and fieldbus through wireless, data storage and cloud to analytics with AI: what they are used for, which products you need for them and where they already run in practice.

01

IoT Protocols & Fieldbus

Industrial protocols pull data from sensors, controllers and machines. Which protocol a plant speaks determines how easily existing machines can be retrofitted for the IIoT.

5 technologies

02

Messaging/Transport

Messaging systems reliably move measurements and events between devices, edge and cloud. Following the publish/subscribe principle, a message reaches every system that needs it without fixed point-to-point connections.

4 technologies

03

Connectivity, wireless & positioning

These technologies get data from where it is generated onto the network and show where things are. The right choice depends on range, data volume, power consumption and positioning accuracy.

11 technologies

04

Deployment

Containers and orchestration bring IoT applications onto edge devices, servers and the cloud and keep them up to date. This makes software portable between environments and operations across many sites manageable.

3 technologies

05

Data storage

Machine data accumulates continuously and in large volumes. Databases and data platforms store it so that it remains available for analytics, traceability and AI models years later.

9 technologies

06

Cloud platform

Cloud and IoT platforms provide the computing power, device management and services on which IoT applications run and scale. The range spans hyperscalers, European providers and industrial platforms.

6 technologies

07

Data standardisation

Standardised data models ensure that a machine, a component or a measurement is described the same way everywhere. This is the prerequisite for using data across vendors and company boundaries.

1 technology

08

Architecture/design principle

Architecture principles define how data flows through the company and where it can be found. Instead of many individual connections, a shared structure emerges that new systems can easily plug into.

1 technology

09

Analytics, visualisation & AI

Analysis turns data into decisions. Dashboards, data analytics and AI show maintenance, production and management what is working and what is not, and detect patterns before a failure occurs.

4 technologies