Sensorics and Data Processing (FSI-GMB)

Academic year 2020/2021
Supervisor: Ing. Pavel Houška, Ph.D.  
Supervising institute: ÚVSSR all courses guaranted by this institute
Teaching language: Czech
Aims of the course unit:
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.
Learning outcomes and competences:
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.
Course contents:
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.
Teaching methods and criteria:
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.
Controlled participation in lessons:
Attendance at lectures is recommended, attendance at seminars is monitored. Maximally two absence are compensated by individual missing laboratory reports working out.
Type of course unit:
    Lecture  13 × 2 hrs. optionally                  
    Laboratory exercise  13 × 2 hrs. compulsory                  
Course curriculum:
    Lecture 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 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
Literature - fundamental:
1. Handbook of Modern Sensors: Physics, Designs, and Applications 5th ed. 2016 Edition, Springer International Publishing, Switzerland 2016
2. Frank Lamb: Industrial Automation: Hands-On, McGraw-Hill Education, 2013
3. Daďo S., Kreidel M.: Senzory a měřicí obvody. Praha. ČVUT 1996
4. Mitchell, H.B: Multi-Sensor Data Fusion - An Introduction, Springer - Verlag, 2007
Literature - recommended:
1. LabVIEW Measurements Manual, National Instruments, April 2003 Edition, Part Number 322661B-01, dostupné z www.ni.com
2. Getting Started with NI LabVIEW Student Training, National Instruments, dostupné z http://zone.ni.com/devzone/cda/tut/p/id/7466
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
M2I-P full-time study M-VSR Production Machines, Systems and Robots -- Cr,Ex 5 Compulsory 2 2 S