Course detail

Sensors and Data Acquisition

FSI-GSE Acad. year: 2021/2022 Winter semester

Fundamentals of electrical quantities measurement, data processing. Sensors fundamentals, selection, utilization and characteristics of sensors: temperature, proximity, position, velocity and acceleration; force, torque, mass, pressure and flow. Selection of control systems, DAQ, signal conditioning, communication busses, SMART sensors and complex sensors systems.

Learning outcomes of the course unit

Measurement fundamentals, signal processing methods (DAQ) and sensors overview based on various physical principles and sensors applications in practice. Introduction to modern sensor trends, sensor fusion and integration, artificial intelligence methods.

Prerequisites

Theoretical knowledge of physics, fundamentals of electronics and algorithmization.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline. Teaching is suplemented by practical laboratory work.

Assesment methods and criteria linked to learning outcomes

Course credit award requirements: active participation in laboratories, elaboration and commit of laboratory reports. Examinations: written and oral, classified by ECTS.

Language of instruction

Czech

Aims

Theoretical fundamentals and practical know-how of applied sensors. Sensor applications are pointed to automation and mechatronics. Acquired knowledge enables students to integrate into teams dealing with implementation of advanced systems within interdisciplinary fields in engineering practice.

Specification of controlled education, way of implementation and compensation for absences

Attendance at lectures is recommended, attendance at seminars is monitored. Maximally two absence are compensated by individual missing laboratory reports working out.

The study programmes with the given course

Programme N-MET-P: Mechatronics, Master's
branch ---: no specialisation, 7 credits, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Syllabus

1. Introduction, basic terminology and general characteristic of sensors
2. Inputs and output of the digital systems
3. DAQ introduction
4. Temperature sensors
5. Opto-electrics sensors
6. Position sensors and detectors
7. Acceleration sensors and gyroscopes
8. Force, torque and mass sensors
9. Pressure sensors
10. Flow and level sensors
11-13. Communications protocols

Laboratory exercise

13 hours, compulsory

Teacher / Lecturer

Syllabus

1-3. Introduction to LabVIEW and DAQ
4-6. Static characteristic of Aripot
7-9. Temperature sensing
10-12. Position and velocity measuremnt
13. Laboratory works finishing , credit