Data Acquisition Systems
Code
7317
Academic unit
Faculdade de Ciências e Tecnologia
Department
Departamento de Engenharia Electrotécnica
Credits
6.0
Teacher in charge
Ricardo Luís Rosa Jardim Gonçalves
Weekly hours
4
Total hours
60
Teaching language
Português
Objectives
Provide the students to develop skills in:
- Systems architectures for data acquisition; generic characterization of systems for data acquisition; identification of main blocks; characterization of functions; systems development methodologies using dedicated hardware, discrete, specific and programmable integrated circuits, and / or microcontrollers.
- Signal conditioning: use of operational amplifiers; settings, compensations and linear and non-linear corrections; conversions of voltage / current / frequency; galvanic isolation; case studies and applications with multiple transducers.
- Digital-Analog Conversion: characterization, converters specification, direct and indirect methods, architectures.
- Analog-Digital Conversion: characterization, converters specification, asynchronous methods with direct and indirect controller, architectures.
- Solutions for the acquisition of data (centralized versus distributed); traditional instrumentation versus virtual instrumentation; remote systems; interfaces RS-232, RS-485 and IEEE-488.
- Cyber Physical Systems. Smart Sensors, Smart Objects and data acquisition in the advent of the Internet of Things.
- Analysis of cases: Development of advanced systems for data acquisition using LabView; Development of solutions with cloud services for data acquisition in BlueMix environment. Use of National Instruments’s DAQ for intelligent interfacing with sensors.
Subject matter
Provide the students to develop skills in:
- Systems architectures for data acquisition; generic characterization of systems for data acquisition; identification of main blocks; characterization of functions; systems development methodologies using dedicated hardware, discrete, specific and programmable integrated circuits, and / or microcontrollers.
- Signal conditioning: use of operational amplifiers; settings, compensations and linear and non-linear corrections; conversions of voltage / current / frequency; galvanic isolation; case studies and applications with multiple transducers.
- Digital-Analog Conversion: characterization, converters specification, direct and indirect methods, architectures.
- Analog-Digital Conversion: characterization, converters specification, asynchronous methods with direct and indirect controller, architectures.
- Solutions for the acquisition of data (centralized versus distributed); traditional instrumentation versus virtual instrumentation; remote systems; interfaces RS-232, RS-485 and IEEE-488.
- Cyber Physical Systems. Smart Sensors, Smart Objects and data acquisition in the advent of the Internet of Things.
- Analysis of cases: Development of advanced systems for data acquisition using LabView; Development of solutions with cloud services for data acquisition in BlueMix environment. Use of National Instruments’s DAQ for intelligent interfacing with sensors.