Engineering: leader della Digital Transformation

Engineering Innovation In

Digital Industry

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Big Data for Industry 4.0

Big Data for
Centro Ricerche Fiat

A Business Intelligence platform for the collection, management and visualization of Big Data derived from IoT sensors installed on production lines.

Approach & Solution

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Approach

Develop innovative solutions for the European manufacturing sector. With this objective, OEDIPUS (Operate European Digital Industry with Products and Services) was born, a research project belonging to the Digital Industry Action Line of EIT Digital. One of the results of this initiative is DIDA (Digital Industry Data Analytics), a data analysis platform developed by Engineering and tested with the FIAT Research Center.
DIDA enables the collection, storage, analysis and visualization of a considerable amount of Big Data coming from different sensors placed on the production lines inside an FCA plant, such as those of sensorized welding cells.

Solution

DIDA follows the approaches defined for platforms within the Industry 4.0 paradigm (Platform I4.0) and the RAMI 4.0 architectural model. Furthermore, it exploits the existing open source components in the FIWARE and Knowage ecosystem, the Engineering software that supports Business Intelligence, Big Data analysis and advanced data visualization features.
Thanks to these features, DIDA allows to:
  • manage and analyze heterogeneous data even from users without specific IT skills, such as analysts and managers
  • monitor and identify events from production lines
  • have a clear view of the parameters of interest supporting decision-making processes
  • develop different applications aimed, for example, at monitoring the production system and quality control.

Results

Intuitive and dynamic interface provided by Knowage

Easier data analysis

Faster and more informed decision making

Project Value

Cost cutting
Process performance
Visibility

Enabling Technologies

Cloud
AI & Advanced Analytics
IoT

Our Products & Other Technologies

Knowage

Project Team

Knowage Labs (Research & Innovation)

Engineering Automation & Control Business Unit