The Open-Source toolkit to build your own reliable and secure Industrial IoT platform. It provides you with an entire IT / OT infrastructure - from the edge to on-premise to the cloud.
You can use it
- as a standalone end-to-end Industrial IoT platform to securely connect your machines with the cloud or
- as a toolkit and integrate its components fully into your IT/OT infrastructure to close potential gaps.
- Applicable by including manufacturing specific business logics and applications (e.g., OEE analysis or Digital Shadow)
- Reliable and Maintainable through the usage of established IT and OT technologies
- Scalable across factories and clouds through a microservice approach and Kubernetes
- Secure by allowing to inspect and control each component to ensure confidentiality, integrity, and availability
- Go to our documentation to learn about installation, maintaining, the architecture and the topic IIoT in general
- Go to our website for commercial support and implementation
- Niemeyer, C. & Gehrke, Inga & Müller, Kai & Küsters, Dennis & Gries, Thomas. (2020). Getting Small Medium Enterprises started on Industry 4.0 using retrofitting solutions. Procedia Manufacturing. 45. 208-214. 10.1016/j.promfg.2020.04.096.
- Kunz, P. (2020). Deep Learning zur industriellen Qualitätsprüfung: Entwicklung eines Plug-and-Play Bildverarbeitungssystems. Institut für Textiltechnik (RWTH Aachen University).
- Müller, M. (2020). Industrielle Bildverarbeitung zur Qualitätskontrolle in Produktionslinien: Entwicklung einer Entscheidungslogik zur Anwendungsfallspezifischen Auswahl von Hard- und Software. Institut für Textiltechnik (RWTH Aachen University).
- Altenhofen, N. (2021). Design and Evaluation of a Blue Ocean Strategy for an Open-Core IIoT Platform Provider in the Manufacturing Sector. Institute for Technology and Innovation Management (RWTH Aachen University).
- Tratner, T. (2021). Implementation of Time Series Data based Digital Time Studies for Manual Processes within the Context of a Learning Factory. Institute of Innovation and Industrial Management (TU Graz).
See also publications for more material!
All source code is distributed under the GNU AFFERO GENERAL PUBLIC LICENSE. See LICENSE for more information. All other components (e.g. trademarks, images, logos, documentation, publications), especially those in the /docs folder, are property of the respective owner.