The IMOCO4.E challenge is to bridge the gap between the latest research results and best industrial practice in digital twins, AI and advanced mechatronic motion control systems.
IMOCO4.E strive to create solid and unimpeachable knowledge for optimizing machines and production lines over their whole lifecycle. Software and Hardware building blocks and edge-to-cloud standardized interfaces, will be developed to deliver a complete IMOCO4.E reference framework.
The project will deliver a flexible, scalable, future-proofed and fully functional product architecture to be exploited in industry in high-performance control applications with several overlaps to health, mobility and supply chain management domains.
SoC-e’s participation in the IMOCO4.E
SoC-e‘s main task was to develop different SoCs, FPGA multi-many core, multi-network platforms for AI and smart data processing meeting the variety of needs from the industry.
The following are the most relevant Challenges and Objectives of SoC-e under IMOCO4.E cooperation project:
- Position at the state-of-the-art FPGA-based embedded hardware (high-end multi-processor system-on-chips).
- Tailoring cutting-edge innovative platforms (HW, SoC coprocessing, communication lowest layer supports) for next-generation processing intensive, and real-time demanding, industrial automation applications and scenarios
- Development of time-critical, deterministic, high-availability, secure and high-throughput, layer 2 reconfigurable communication plane, e.g. TSN, EtherCAT, etc.
- Analysis, study and development of the communication plane along with the RTOS plane (possible to have running different RTOS)
This project brings adequate edge intelligence into the Instrumentation and Control Layers, to analyse and process machine data at the appropriate levels and to synchronise the digital twins with either the simulated or the real-time physical world.