Course detail
Sensorics and Data Processing
FSI-GMB-K Acad. year: 2021/2022 Summer semester
Fundamentals of electrical quantities measurement, A/D and D/A convertors and signal conditioning. Communication busses and protocols for sensors and sensor systems. Fundamentals of sensors with electric outputs. Selection and utilization of sensors for production machines and systems. Introduction into design and implementation of DAQ systems, data processing and archiving.
Language of instruction
Czech
Number of ECTS credits
5
Supervisor
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, the industrial communication protocols in sensorics and DAQ.
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.
Aims
Theoretical fundamentals and practical know how of the applied sensors, data acquisition (DAQ) and industrial communication protocols. The course focused on the field of modern production machines and systems, mobile robotics and standalone testing. 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-VSR-K: Production Machines, Systems and Robots, Master's, compulsory
Type of course unit
Guided consultation in combined form of studies
9 hours, compulsory
Teacher / Lecturer
Syllabus
1. Introduction, basic terminology and general characteristic of sensors
2. Inputs and output of the digital systems
3-4. DAQ introduction
5. DAQ of slow process – temperature and humidity
6. DAQ of fast process – position and velocity
7. DAQ of dynamics process – velocity, acceleration, force and torque
8. Process sensors
9-10. Communications protocols
11. DAQ hardware
11-13. DAQ multi instruments synchronization
Guided consultation
34 hours, optionally
Syllabus
1. Introduction, basic terminology and general characteristic of sensors
2. Inputs and output of the digital systems
3-4. DAQ introduction
5. DAQ of slow process – temperature and humidity
6. DAQ of fast process – position and velocity
7. DAQ of dynamics process – velocity, acceleration, force and torque
8. Process sensors
9-10. Communications protocols
11. DAQ hardware
11-13. DAQ multi instruments synchronization
Laboratory exercise
9 hours, compulsory
Teacher / Lecturer
Syllabus
1-3. Introduction to LabVIEW and DAQ
4-6. Static characteristic of Aripot
7-8. Position and velocity measurement
9-12. Sensors net
13. Laboratory works finishing , credit