AUTOWARE | Wireless Autonomous, Reliable and Resilient ProductIon Operation ARchitecture for Cognitive Manufacturing

Summary

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.

More information & hyperlinks
Web resources: http://www.autoware-eu.org/
https://cordis.europa.eu/project/id/723909
Start date: 01-10-2016
End date: 30-09-2019
Total budget - Public funding: 4 096 313,00 Euro - 4 096 313,00 Euro
Cordis data

Original description

Current 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.

Status

CLOSED

Call topic

FOF-11-2016

Update Date

27-10-2022
Geographical location(s)
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Factories of the Future Partnership - Made in Europe Partnership

H2020 - Factories of the Future
H2020-FOF-2016
FOF-11-2016 Digital automation
Skills and training aspects
Comment: To guarantee a usable and intuitive access for SMEs to several European initiatives and platforms that are developing digitalization solutions for manufacturing companies in different areas: robotic solutions, cloudification manufacturing initiatives, CPS platforms implementation, reconfigurable cells, etc..
Report
Result items:
Publication
Result items:
Research & Innovation Action (RIA)
Standards
Comment: Automation Industrial Data Space (IDS). Public-subscribe OPC-UA ; OPC-UA rt. NFV-Low latency networks. 5G, TSN, WirelessHart
Standards according to SDOs
ISO/IEC
ISO/IEC JTC 1
ISO/IEC JTC 1 - JTC1 level standards
ISO/IEC 20922:2016 - Information technology -Message Queuing Telemetry Transport (MQTT) v3.1.1
Standard types
Interface standards
ISO/IEC 20922:2016 - Information technology -Message Queuing Telemetry Transport (MQTT) v3.1.1
Autonomous Smart Factories Pathway
Connected IT and OT
IoT enabled SCADA, MOM-MES, ERP (…) connectivity
Off-line optimisation
Off-line Digital Manufacturing Process Optimisation on factory level
Off-line Digital Manufacturing Process Optimisation on machine level
Platform enabled optimisation
Realtime optimisation
Social sustainability
Increasing human achievements in manufacturing systems
Comment:

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.

Information and communication technologies
Data collection, storage, analytics, processing and AI
Programming Frameworks – Software Development Kits (SDKs)
Operating systems
Comment: ROS (http://www.ros.org/ )
Data spaces
Digital manufacturing platforms - data platforms
Cybersecurity
Comment: CPPS validation & verification (CPPS cloudified control performance simulation). Open trusted CPPS
Cybersecurity Standards for digital manufacturing
De Facto industrial CyberSecurity standard developments
Interoperability (ICT)
Comment: Goal: 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. . Leveraging reference heterogeneous communications and networking architecture to support connectivity & data management in CPPS. To allow the interaction and interworking of the heterogeneous communications and networking technologies necessary to support the ubiquitous connectivity of CPPS.
General interoperability framework
Integration level interoperability
Connectivity & network interoperability – communication protocols
Comment: NFV-Low latency networks.NFV: Network functions virtualization)
ISO/IEC 20922:2016 - Information technology -Message Queuing Telemetry Transport (MQTT) v3.1.1
Semantic/information interoperability
Application level interoperability
Open APIs and Communication Protocols
Wireless communication protocols
Comment: 5G, WirelessHart
Industrial Reference ICT Architectures
Reference Architectural Model Industrie 4.0 (RAMI 4.0)
RAMI 4.0 Vertical Axis and associated standards
Communication Layer (RAMI 4.0)
ISO/IEC 20922:2016 - Information technology -Message Queuing Telemetry Transport (MQTT) v3.1.1
RAMI 4.0 Hierarchy Axis
Field Device
Comment: Cloud & App-ized Control Systems
Work station
Comment: Cloud & App-ized Control Systems. Open & Reconfigurable Cells.
Enterprise - Factory
Comment: Cloud based planning systems. Dual reality service orchestration.
Connected Enterprises - Factories
Resilience
Comment: Wireless resilient communications (5G & Wirelesshart).
Business models
Business model aspects of digital platform deployment
Comment: Provisioning of robust business development frameworks that will drive a business-oriented and RoI rooted approach to migration towards digital automation.
Manufacturing system levels
Field Device
Comment: Cloud & App-ized Control Systems
Work station
Comment: Cloud & App-ized Control Systems. Open & Reconfigurable Cells.
Enterprise - Factory
Comment: Cloud based planning systems. Dual reality service orchestration.
Connected Enterprises - Factories
Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
H2020-EU.2.1.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
H2020-EU.2.1.1.0. INDUSTRIAL LEADERSHIP - ICT - Cross-cutting calls
H2020-FOF-2016
FOF-11-2016 Digital automation