: Integrating dIstributed Intelligence and semantIcs for smart factory SMART-y4.0
: Universidad del País Vasco - Euskal Herriko Unibertsitatea– Departamento Ingeniería de Sistemas y Automática - Grupo de Control e Integración de Sistemas (GCIS
: Escuela de Ingeniería de Bilbao (Ingeniería Superior)
: Margarita Marcos Muñoz
Western civilization has already witnessed three industrial revolutions, which could also be described as disruptive leaps in industrial processes resulting in significantly better and higher productivity. The first improved efficiency through the use of hydropower, the increasing use of steam power and the development of machine tools. The second brought electricity and mass production (assembly lines), and the third and most recent further accelerated automation using electronics and IT. Since the beginning of the 21st century, society has been experiencing a digital transformation changes associated with innovation in the field of digital technology in all aspects of society and economy. Some experts think that what it has happened so far accounts for a tenth of what is still ahead. This trend is also affecting to manufacturing and services. In this sense, the fourth industrial revolution is already on the way.
However, while some areas will see fast and disruptive changes, others will change slowly and steadily – a more "evolutionary" pace. In either case, there is no going back. This time, physical world is being seamlessly integrated into the productive processes through the network. The combination of Internet, intelligent machines, production systems and processes is leading to a sophisticated information network. The ‘Industry 4.0’ concept arises as a way to face the challenges of the fourth industrial revolution. But this concept is much more than the ‘internet of things’ or smart factory (both included in industry 4.0), as it emphasizes the idea of consistent digitization and information exchange among the productive processes in an economy.
In the context of industry 4.0, the project focuses on exploring the following main aspects for turning the concept into reality:
• How to achieve seamless integration for information exchange between the different stakeholders.
• To propose a generic architecture for giving coverage to different axis of integration. Specifically, integration of business processes with technical processes (B2P), horizontal integration - Machine to Machine integration (M2M) - demanding ad-hoc added value networks optimized in real time, flexible and having capacity to make decisions. And the end-to-end (E2E) axis – that focus on seamless integration of engineering tools used throughout the different phases of the product lifecycle.
• To use meta-modeling techniques and ontologies to transform raw data into value information.
The expected results of the project are:
• Definition of domain ontologies for the three different integration axis.
• A generic architecture offering services, methodologies, mechanisms and support at all integration axis.
• Proof of concept demonstrators that validate the approach as well as support methodologies and tools.
KEY WORDS: Model driven engineering, industrial automation, industry 4.0, IoT