Approach & Solution
- for the management of data from different sources;
- production line events to be monitored and identified (for example, machine failures or quality issues);
- the progress of relevant parameters to be visualised and support to be given to the decision-making process (such as updating the maintenance plan);
- different applications to be developed, aimed for example at monitoring the operation of the production system and controlling and managing product quality.
DIDA adheres to the platform approaches set down in the Industry 4.0 model (Platform I4.0) and the RAMI 4.0 architectural model. In addition, the OEDIPUS DIDA platform takes advantage of the existing open source components of the ecosystem built around FIWARE and Knowage, which supports business Intelligence, big data analysis and advanced data visualisation functions.
Thanks to the intuitive and dynamic interface provided by Knowage, DIDA enables users who lack specific IT skills, such as analysts and managers, to create their own analyses easily, using data from production lines. This facilitates and speeds up the decision-making process, thus helping to help prevent failures and stop them from spreading. The project will soon be further expanded by integrating additional features for predictive analysis.
AI & Advanced Analytics
Our Products & Other Technologies
Knowage Labs (Research & Innovation) Engineering Manufacturing & Automation Business Unit