SMART INDUSTRY

PAVING THE WAY FOR A DATA-DRIVEN INDUSTRY DIGITALIZATION

DATA IS DRIVING INDUSTRIE 4.0

 

 

Industrie 4.0 refers to the automation and the exchange of data in manufacturing technologies. It encourages the development of what is referred to as a ‘smart factory’.

Information transparency is a key design principle in Industrie 4.0. In smart factories, machines, smart sensors and robotic platforms on a shop floor can generate data that can be used to monitor, maintain and manage the production line. Unfortunately, more of than not, this data remains in information silos. The use of context information, both manufacturing and non-manufacturing, can hereby improve efficiency and speed up production processes considerably. It can help paint an accurate picture of what is going on inside, as well as outside, the factory.

WHY FIWARE?

Trustworthy data exchange across systems and organizations, together with the definition of open standard APIs and information models enabling portability and interoperability of applications, are becoming key drivers of Industrie 4.0 and its evolution. FIWARE is working on reference architectures and information models to help manufacturing companies in their digital transformation.

 

WHAT IS FIWARE DOING?

 

 

  • Driving standards and breaking up information silos.
  • Allowing developers to merge IoT data with data from other relevant sources using a well defined RESTful API, hereby simplifying IoT Data Management.
  • Transforming Big Data into knowledge using data analytics and Artificial Intelligence.
  • Transforming your data into value, enabling the Data Economy.
  • Unleashing the potential of right-time Open Data via the FIWARE Context Broker and the FIWARE NGSI API.
  • Enabling you to decide what others are allowed to do with your data and when.

 

“ADOPTING A DATA-DRIVEN APPROACH
THROUGH THE DECOUPLING OF
INDUSTRIAL PROCESSES WHILE WARRANTING
SOVEREIGNTY ON YOUR DATA.”

BUILDING AN INDUSTRY REFERENCE ARCHITECTURE

Compliant with existing industry architectures such as the Reference Architecture Model Industrie 4.0, the Industrial Data Space Reference Architecture or the Industrial Internet Consortium Reference Architecture.

BREAKING UP INFORMATION SILOS

Unleashing the potential of context data from the Internet of Things and other systems, using Big Data and AI services on the cloud.

DATA SOVEREIGNTY

Adopting a data-driven approach through the decoupling of industrial processes while warranting sovereignty on your key strategic asset: data.

THE FIWARE OPC UA AGENT

A flexible and configurable software component which can exploit Industrial IoT Data in Motion streams coming from Smart Factories, together with other heterogeneous data sources from mobility, cities, the environment or meteorological data.

“HOW CAN COMPANIES AND
INSTITUTIONS BUILD A SPACE
WHERE DATA IS SHARED
IN A DECENTRALIZED MANNER?”

FIWARE AND IDSA: A SHARED VISION

The Industrial Data Space (IDS) addresses a key topic in the evolution of Industrie 4.0: How can companies and institutions build a space where data is shared in a decentralized manner so that each organization can use available data to improve their processes, as well as govern and monetize data exported to third parties.

International Data Spaces Association (IDSA) is creating a reference architecture to implement secure and trustworthy data exchanges. Data providers hereby keep control over the usage of their data, also referred to as “data sovereignty”.

Together, FIWARE and IDSA are working on the first open source implementation of the IDS Reference Architecture. The IDS Connector, which is based on the FIWARE Context Broker and other complementary FIWARE technologies, manages all aspects related to the publication of and access to data.

The FIWARE and IDS platforms were both named promising digital industrial platforms built on European strengths by the European Union with regards to the progress of the Digitising European Industry (DEI) initiative.

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