The AUTOWARE Framework and Requirements for the Cognitive Digital Automation

Abstract

The successful introduction of flexible, reconfigurable and selfadaptive 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 wellestablished 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.

IoT/cloud‐enabled smart services: A review on QoS requirements in fog environment and a proposed approach based on priority classification technique

“…Molina et al 53 review the operational techniques required to the enhancement of a digital cognitive automation system for collaborative robotics and modular industrial network. They investigate on the five pillars that motivate the development of cognitive digital manufacturing systems: adjustable collaborative robotized utilities, flexible delay‐sensitive communications and content delivery, extending automation components for open trusted systems, open access deployment for added value cognitive industrial utilities, and cross‐layer security and certification. …”

Emerging Trends in Hybrid Wireless Communication and Data Management for the Industry 4.0

“…In this Section, we detail the communications and data management architectural scheme that we propose so as to provide a relevant example of 5G hierarchical and multi-tier management architecture for industrial wireless networks. The architectural scheme we present is a part of the general architecture of the H2020 AUTOWARE project [37].…”

A Survey on Industrial Internet With ISA100 Wireless

“…Moreover, as industrial stakeholders proceed to establishing data-oriented cognitive robotics and modular manufacturing systems, converting their manufacturing processes to include more competitive and adaptive features, they face the issue of seamless interconnection of the physical automation processes with their digital counter parts. This issue can increase the required costs and difficulties with respect to network planning and management [9].…”

“…Moreover, cabling significantly limits the flexibility of use of many objects. Therefore, wired deployments are increasingly replaced by wireless technologies [11], and there is an emerging need for standardized, cost-efficient wireless industrial technologies which enable significant savings and satisfy Industry 4.0 requirements by optimizing the management of industrial spaces [12]. IEEE 802.15.4 is a suitable technology for a wide range of wireless industrial use cases, thanks to its cost-efficient energy consumption, satisfying communication range, sufficient scalability, and mesh networking reliability.…”