MIDIH Open Calls target the development of data driven applications, by IT SMEs as technology providers, and experiments in CPS/IoT by Manufacturing SMEs. Open Calls select new cross-border experiments to be executed and validated in real (additionally to the Lighthouse cases) or realistic (the Teaching Factories) industrial facilities.
Two Open Calls have been launched and 32 experiments have been selected. The selected experimenters have been chosen based on the ability to show relevant innovations, impact and exploitation potential on CPS/IoT applications.
In this section you will find more detailed information on the experiments executed in each Open Call.
The summary of submitted and selected proposals, divided by Technological topics which address technologies around the MIDIH architecture and Experimentation topics addressing the three main scenarios: Smart Factory, Smart Product and Smart Supply Chain, is available in this report.
Detailed information for each experiment can be found here.
1
DuraTag AR
2
AdaptabLe TubE pRocessing
3
Advanced Predictive Maintenance
4
Model Learning for Cloud-Edge Digital Twins
5
Automatic Vibration Diagnostics and Prescriptive Maintenance service for Industrial Equipment in Industry 4.0
6
Platform for immersive training and activity evaluation based on virtual reality and artificial intelligence
7
Machine Learning Application for Motion Capture
8
PG Plant
9
Improving asset and process management in Offshore gas production using MIDIHI industry data analytics
10
Energy Efficient Milling using Data Driven Models for Cement Manufacturing
11
Data Space platform for the management and maintenance of Polyurethane Foam plants
12
Dual-level Recognition for Environment Aware Mobile Robot
13
Dual-level Recognition for Environment Aware Mobile Robot
14
Augmented Reality and Predictive Maintenance applications for robotic machines in the cable assembly industry
15
Innovative Industrial 3D Services
16
Monitor the energy consumptions
17
Smart Monitoring for Energy Efficiency and Predictive Maintenance – Application to Electric Motors Retrofitting