No edit summary
Line 30: Line 30:


== Projects ==
== Projects ==
{| class="wikitable"
|-
! Domain || Usecase!! Description
|-
| colspan="2" | [[Home:_digital.industry|digital.industry]] ||
|-
| || Pneumatics system || 
|-
| colspan="2" | [[Home:_digital.auto|digital.auto]] ||
|-
| || Playground ||
|-
| || Simulation ||
|-
| colspan="2" | [[Home:_digital.building|digital.building]] ||
|-
| || Elevator Monitoring ||
|}


== Collaboration Benefits ==
== Collaboration Benefits ==

Revision as of 08:55, 17 March 2022

AIoT Lab header

AIoT Lab Heilbronn

The AIoT Lab was set up in 2021 to help validate AIoT-enabled business ideas and do practical research on the key concepts described by the AIoT Framework. The goal of the AIoT Lab is to provide a collaboration platform for testing and validating some of the concepts which we are developing in the AIoT User Group. The primary motivation is to provide smart connected products and solutions that illustrate how the challenges in real world can be overcome. The AIoT Lab Heilbronn is operated by Ferdinand-Steinbeis-Institute at the Research Campus in Heilbronn. This setup ensures access to the academic network in Heilbronn, which can be easily extended to include the greater Stuttgart area and Baden Würtemberg. Technological as well as practical expertise is offered in the duality of research and entrepreneurship in order to create an environment that reflects the AIoT Playbook.

The AIoT Lab is planning to support additional industrial use cases in the digital.industry Working Group. The research focus is on making the creation of AIoT-enabled industrial solutions more efficient and better manageable for industrial users. The lab is also a significant contributor to the digital.auto Working Group. Participants can propose new research topics or initiate micro testbeds. The lab provides AIoT expertise and access to an academic ecosystem.

Motivation and Goal

AIoT Lab Business perspective

Our Focus

AIoT Lab Business perspective
  • Scalability
    • Business model
    • Organization
    • Architecture
    • DevOps
  • Re-Use
    • AI Model
    • Data sets (training data)
    • Sensors / sensor packs
    • Infrastructure: edge, cloud, devops, …
    • Patterns
  • Benchmarking
    • AIoT + DT standards, products, platforms

Projects

Domain Usecase Description
digital.industry
Pneumatics system
digital.auto
Playground
Simulation
digital.building
Elevator Monitoring

Collaboration Benefits