The Digital Twin Laboratory for Communications and Miniaturised Sensors comprises the following equipment: Spectrum Analysers: - Agilent E8364B (50GHz) - HP 8719ES (13.5GHz) Network Analysers: - Agilent E4448A (50GHz) - E4407B (13.5GHz) RF Signal Generators and for advanced communication applications: - Agilent 83650B - HP 83712B - Agilent E4438C High Resolution Oscilloscopes: - Infinium 64846B (8GSa/s 2.25GHz 4-channel) Simulation and Modelling Platforms: - Network of workstations with ANSYS, CST, ADS, etc. Geolocation equipment: - Multiconstellation GNSS receivers: Septentrio and Ublox. - Leica TS16 i total station - Own and commercial kit of UWB and BLE-AOA anchors and tags. - Inertial sensors, magnetometers and gyroscopes - Network communications elements Data Acquisition Systems (DAQ): - National Instruments PXI: Modular platform for real-time data acquisition and analysis. - Agilent 34970A - Proprietary acquisition and processing systems (VARIOUS based on microcontrollers, Beaglebone and Raspberry Pi) for analogue and digital communications.
Digitalization and Conectivity
Data Acquisition Systems (DAQ)
- National Instruments PXI - Modular platform for real-time data acquisition and analysis.
- Agilent 34970A
- Proprietary acquisition and processing systems (VARIOUS based on microcontrollers, Beaglebone and Raspberry Pi) for analogue and digital communications.
Geolocation equipment
- Multiconstellation GNSS receivers: Septentrio and Ublox
- Leica TS16 i total station
- Proprietary and commercial UWB and BLE-AOA anchor and tag kits
- Inertial sensors, magnetometers and gyroscopes
- Network communications elements
RF Signal Generators and for Advanced Communication Applications and High Resolution Oscilloscopes
• Agilent 83650B
• HP 83712B
• Agilent E4438C
• Infinium 64846B (8GSa/s 2,25GHz 4 canales)
Simulation and Modelling Platforms
• Workstation network with ANSYS, CST, ADS, etc.
Spectrum and network analysers
• Agilent E8364B (50GHz)
• HP 8719ES (13.5GHz)
• Agilent E4448A (50GHz)
• E4407B (13.5GHz)
Integration of cybersecurity and data management techniques in secure and connected federated spaces.
Development and testing of miniaturised connected processing systems and sensors for accurate and efficient data collection.
Evaluation of advanced communication technologies to ensure fast and secure data transmission while optimising energy use.
Improved geolocation by selecting and merging relevant data for each case.
Use of data analytics and machine learning tools to predict failures and optimise preventive maintenance.
Use of advanced simulation platforms to create accurate digital replicas of equipment and processes in various sectors.
Compatibility with multiple systems and communications protocols to ensure seamless integration with existing systems.