The AUTOWARE Framework and Requirements for the Cognitive Digital Automation
The successful introduction of flexible, reconfigurable and self-adaptive manufacturing processes relies upon evolving traditional automation ISA-95 automation solutions to adopt innovative automation pyramids. These new approaches target the integration of data-intensive cloud and fog-based edge computing and communication digital manufacturing processes from the shop-floor to the factory to the cloud. The integration and operation of the required ICT, automation and robotic technologies and platforms is particularly challenging for manufacturing SMEs, which account for more than 80% of manufacturing companies in Europe. This paper presents an insight into the business and operational processes, which motivate the development of a digital cognitive automation framework for collaborative robotics and modular manufacturing systems particularly tailored to SME operations and needs; i.e. the AUTOWARE Operative System. To meet the requirements of both large and small firms this paper elaborates on the smart integration of well-established SME friendly digital frameworks such as the ROS supported robotic Reconcell framework, the FIWARE-enabled BEinCPPS Cyber Physical Production framework and the OpenFog compliant TAPPS hardware framework.
KeywordsCollaborative robotics Cyber-Physical systems Modular manufacturing systems Requirements engineering Smart factory
This work has been funded by the European Commission through the FoF-RIA Project AUTOWARE: Wireless Autonomous, Reliable and Resilient Production Operation Architecture for Cognitive Manufacturing (No. 723909).
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