Project: SAFIRE
Updated at: 29-04-2024
Project: QU4LITY
Updated at: 01-02-2024
Project: QU4LITY
Updated at: 01-02-2024
The variables monitored in real time throght IoT platfroms for 2 manufacturing lines enables the Zero Defect Manufuactiring goal. Multiple industrial assets monitored force to have an strategic in terms of enchacement processes.
The implementation of modular architecture interconected involving Cloud and Edge Systems, Data Modelling and Learning Service and Iot Hub produce top quality production. The introduction of Interoperability layer for gathering data from two different manufacturing lines together with OPC-UA and AAS is key for the goal.
MONDRAGON pilot is being developed considering 2 IoT platfrom and interoperability layer developed by MGEP together with OPC-UA and AAS. Real time process optimisation enables Autonomous quality outcomes and Zero Defect Manufacturing for Automotve (Fagor Arrasate )and railway (Danobat) manufacturing lines. The FA-LINK platfrom monitored industrial assets for Fagor Arrasate and SAVVY IoT platfrom for DANOBAT.
The introduction of IA algorithms by ATLANTIS and VTT are developed offline achieving high top optimisation production. On the other hand, the approach of Machine Learning approach should be further developed. The interaction of the operators, maintenance workers and R&D staff are stil crucial for Top high level Autonomous Manufacturing process Optmisation
Project: QU4LITY
Updated at: 01-02-2024
Updated at: 26-05-2021
Over 700 data points from heating, cooling and ventilation systems are supplied to Building Management System via BACnet controllers.
IMR are using our IIoT Platform installed on-site to read this data from the BACnet controllers. We supplement it with data from IMR sensors (cleanroom occupancy, particle counts, PIRs, door sensors).
This data is then sent in real-time to a containerised cloud-based IIoT Platform where it can be accessed by the Energy Team and the Data Analytics Team.
Updated at: 26-04-2021
Based on the state of the cells and the robot's current pose an algorithm calculates the next task. The task is decomposed into a set of robot actions, navigation, manipulation or material transfer to a production cell.
There are four production cells:
Project: Fortissimo 2
Updated at: 22-03-2021
Updated at: 08-08-2019
Project: TWIN-CONTROL
Updated at: 13-02-2019
Part of the improved decision process enabled by the holistic platrom can be close looped into machine control parametes, allowing an autonomous quality management at factory level