AUTOWARE will establish and push forward an open CPPS ecosystem, allowing SMEs to access all the different components in order to develop digital automation cognitive solutions for their manufacturing processes. AUTOWARE will connect several initiatives for strengthening the European SME offer on cognitive autonomous products and leveraging cognitive autonomous production processes and equipment towards manufacturing SMEs.
- D4.3a AUTOWARE Open CPPS ecosystem development
- D1.4b AUTOWARE Guideliness
- D3.4 AUTOWARE Software Defined Autonomous Service Platform lessons learned
- D5.1b Pilot site set up and data collection
- D4.5 AUTOWARE Open CPPS ecosystem lessons learned
- Latency-Based 5G RAN Slicing Descriptor to Support Deterministic Industry 4.0 Applications
- Deep Encoder-Decoder Networks for Mapping Raw Images to Dynamic Movement Primitives
- On the Capacity of 5G NR Grant-Free Scheduling with Shared Radio Resources to Support Ultra-Reliable and Low-Latency Communications
- Latency-Sensitive 5G RAN Slicing for Industry 4.0
- Distributed Path Reconfiguration and Data Forwarding in Industrial IoT Networks
|Total budget - Public funding:||4 096 313,00 Euro - 4 096 313,00 Euro|
Original descriptionCurrent practice is such that a production system is designed and optimized to execute the exact same process over and over again. The planning and control of production systems has become increasingly complex regarding flexibility and productivity, as well as the decreasing predictability of processes. The full potential of open CPS has yet to be fully realized in the context of cognitive autonomous production systems. SMEs face additional challenges to the implementation of “cloudified” automation processes. While the building blocks for digital automation are available, it is up to the SMEs to align, connect and integrate them together to meet the needs of their individual advanced manufacturing processes. Moreover, SMEs face difficulties to make decisions on strategic automation investments that will boost their business strategy. AUTOWARE objective is to build three distinct pillars to form a multi-sided ecosystem. (1) From the BeinCPPS, leverage a reference architecture (fully aligned with CRYSTAL and EMC2 CPS design practices and ARROWHEAD cloudification approach) across I4MS competence domains (cloud,CPPS, robotics), acting as a glue that will attract potential users and developers to a friendly ecosystem for business development, more efficient service development over harmonized architectures (smart machine, cloudified control, cognitive planning- app-ized operation). (2) To leverage a number of SME enablers; e.g. augmented virtuality, reliable wireless communications, CPPS trusted auto-configuration, smart data distribution and cognitive planning to ease cognitive autonomous systems. Finally, to leverage digital automation investments. AUTOWARE brings together the best of breed ARTEMISIA/ECSEL platforms, I4MS innovation, SAFIR business platforms and neutral experimental sites (robotics & process). AUTOWARE assets will be evaluated in two industrial pilots, PWR and SCM, and will offer well established industry and start-ups new business opportunities.
The concept of fully automated production systems is no longer a viable vision. High reactivity, agility and adaptability that is required by modern production systems, can only be reached by human operators with their immense cognitive capabilities. New concepts are required, that apply these cognitive principles to support autonomy in the planning processes and control systems of production systems.