Course detail

Sensorics and Data Processing

FSI-GMBAcad. year: 2020/2021

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

Mode of study

Not applicable.

Guarantor

Ing. Pavel Houška, Ph.D.

Department

Institute of Production Machines, Systems and Robotics (ÚVSSR)

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.

Co-requisites

Not applicable.

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.

Course curriculum

Not applicable.

Work placements

Not applicable.

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.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Daďo S., Kreidel M.: Senzory a měřicí obvody. Praha. ČVUT 1996 (CS)
Frank Lamb: Industrial Automation: Hands-On, McGraw-Hill Education, 2013 (EN)
Handbook of Modern Sensors: Physics, Designs, and Applications 5th ed. 2016 Edition, Springer International Publishing, Switzerland 2016 (EN)
Mitchell, H.B: Multi-Sensor Data Fusion - An Introduction, Springer - Verlag, 2007 (EN)

Recommended reading

Getting Started with NI LabVIEW Student Training, National Instruments, dostupné z http://zone.ni.com/devzone/cda/tut/p/id/7466 (EN)
LabVIEW Measurements Manual, National Instruments, April 2003 Edition, Part Number 322661B-01, dostupné z www.ni.com (EN)

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme M2I-P Master's

    branch M-VSR , 2 year of study, summer semester, compulsory

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. Pavel Houška, Ph.D.

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

26 hod., compulsory

Teacher / Lecturer

Ing. Pavel Houška, Ph.D.

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

Elearning

eLearning: currently opened course