Title:

Sensors and measurement

Code:SEM
Ac.Year:2019/2020
Sem:Winter
Curriculums:
ProgrammeField/
Specialization
YearDuty
IT-MSC-2MBI-Elective
IT-MSC-2MBS-Compulsory-Elective - group B
IT-MSC-2MGM-Elective
IT-MSC-2MIN-Compulsory-Elective - group C
IT-MSC-2MIS-Elective
IT-MSC-2MMM-Elective
IT-MSC-2MPV-Compulsory-Elective - group C
IT-MSC-2MSK1stCompulsory-Elective - group N
MITAINADE-Elective
MITAINBIO-Elective
MITAINCPS-Elective
MITAINEMB-Elective
MITAINGRI-Elective
MITAINHPC-Elective
MITAINIDE-Compulsory
MITAINISD-Elective
MITAINISY-Elective
MITAINMAL-Elective
MITAINMAT-Elective
MITAINNET-Elective
MITAINSEC-Elective
MITAINSEN-Elective
MITAINSPE-Elective
MITAINVER-Elective
MITAINVIZ-Elective
Language of Instruction:Czech
Credits:5
Completion:credit+exam (written)
Type of
instruction:
Hour/semLecturesSeminar
Exercises
Laboratory
Exercises
Computer
Exercises
Other
Hours:2666014
 ExamsTestsExercisesLaboratoriesOther
Points:55156618
Guarantor:Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS)
Deputy guarantor:Strnadel Josef, Ing., Ph.D. (DCSY)
Lecturer:Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS)
Dvořák Michal, Ing. (DITS)
Mrázek Vojtěch, Ing., Ph.D. (DCSY)
Strnadel Josef, Ing., Ph.D. (DCSY)
Instructor:Dvořák Michal, Ing. (DITS)
Goldmann Tomáš, Ing. (DITS)
Mrázek Vojtěch, Ing., Ph.D. (DCSY)
Sakin Martin, Ing. (DITS)
Faculty:Faculty of Information Technology BUT
Department:Department of Intelligent Systems FIT BUT
Prerequisites: 
Intelligent Systems (SIN), DITS
Schedule:
DayLessonWeekRoomStartEndLect.Gr.Groups
WedlecturelecturesG202 08:0009:501MIT 2MIT xx
 
Learning objectives:
  Introduce students via lectures, practical sessions to the field of measurement. Present to students commons electrical circuits, one may encounter while measuring. Demonstrate various approaches to measure chosen physical properties. Introduce students to various interfaces he may use to retrieve data from sensors and approaches to evaluate these data.
Description:
  Introduction to mathematical and physical background to measurement methods and technologies. Introduction to relevant circuitry used in measurement. Introduction to accuracy and uncertainty approaches in data evaluation. Technology and methods used in measuring various physical properties. Communication interfaces common to sensors.
Knowledge and skills required for the course:
  Valid schooling of Edict No. 50 (work with electrical devices) is needed.
Learning outcomes and competencies:
  The the acquainted knowledge belongs the measurement of physical quantities, how to convert physical quantities to electronic form using sensors and how to transmit, process, and use acquired data. Everything is oriented on intelligent sensors, sensor networks and smart homes.
Why is the course taught:
  Whether in robotics, industry, or IoT, sensorics in an important yet fundamental part of any system on which many systems depend. It is essential for a graduate of the technical field to have at least a basic awareness of these technologies, principles and their limitations. The skills acquired in this course will enable the student to participate on projects dealing with these issues, or to work in a qualified and informed manner on the systems that processes or otherwise depends on the data from the sensors.
Syllabus of lectures:
 
  1. Selected chapters of physics related to measurement technologies
  2. Common electric circuits in measurement.
  3. Introduction to measurement and metrology.
  4. Sensors.
  5. Measurements of Electrical properties.
  6. Temperature measurements.
  7. Position, velocity and acceleration measurements.
  8. Force, pressure and mass measurements.
  9. Optical measurements and EM radiation measurements.
  10. Other common measurements.
  11. Humidity, surface level and flow measurements.
  12. Communication interfaces.
  13. Application analysis and future trends.
Syllabus of numerical exercises:
 
  1. Theoretical calculations - calculating bridge circuit for an application (force measurement, temperature measurement).
  2. Theoretical calculations - calculating accuracy and uncertainty
  3. Theoretical calculations - calculating parameters of electrical components and circuits
Syllabus of laboratory exercises:
 
  1. Sensor design and utilization for measurement.
  2. Complex measurements using existing equipment.
  3. Work with oscilloscope.
Syllabus - others, projects and individual work of students:
 
  1. Processing of a project from the selected part of the course.
Fundamental literature:
 
  1. ĎAĎO, S. - KREIDL, M. 1996. Senzory a měřicí obvody. 1. vydání. Praha: Vydavatelství ČVUT, 1996. 315 s. ISBN 80-01-02057-6.
  2. ZEHNULA, K. 1983. Snímače neelektrických veličin. 2. vydání. Praha: Nakladatelství technické literatury, 1983. 371 s.
  3. BEJČEK, L., ČEJKA, M., REZ, J., GESCHEIDTOVÁ, E., STEINBAUER, M. Měření v elektrotechnice. Měření v elektrotechnice. VUT- FEKT, 2002.
  4. BARTUŠEK, Karel, et al. a Miloslav STEINBAUER. Měření v elektrotechnice. 2., přeprac. a dopl. vyd. Brno: VUTIUM, 2010, 212 s.
  5. HALLIDAY, David, Robert RESNICK a Jearl WALKER, DUB, Petr, ed. Fyzika. 2., přeprac. vyd. Přeložil Miroslav ČERNÝ. Brno: VUTIUM, c2013. Překlady vysokoškolských učebnic. ISBN 978-80-214-4123-1,.
  6. FRADEN, Jacob. Handbook of Modern Sensors [online]. Cham: Springer International Publishing, 2016. DOI: 10.1007/978-3-319-19303-8. ISBN 978-3-319-19302-1.
Study literature:
 
  1. WEBSTER, John G. a Halit EREN. Measurement, instrumentation, and sensors handbook: electromagnetic, optical, radiation, chemical, and biomedical measurement. Second edition. Boca Raton: CRC Press, Taylor & Francis Group, [2014]. ISBN 9781439848883.
  2. MUKHOPADHYAY, Subhas Chandra, ed. Next Generation Sensors and Systems [online]. Cham: Springer International Publishing, 2016. Smart Sensors, Measurement and Instrumentation. DOI: 10.1007/978-3-319-21671-3. ISBN 978-3-319-21670-6.
  3. NAWROCKI, Waldemar. Measurement systems and sensors. Second edition. Boston: Artech House, [2016]. Artech House remote sensing library. ISBN 9781608079322.
  4. MUKHOPADHYAY, Subhas Chandra. Intelligent Sensing, Instrumentation and Measurements [online]. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. Smart Sensors, Measurement and Instrumentation. DOI: 10.1007/978-3-642-37027-4. ISBN 978-3-642-37026-7.
Controlled instruction:
  In the case of missed HW laboratories it is possible to replace them until the laboratory is ready for further laboratory practice. Please inform the head of the laboratory or the course supervisor without any delay.
Progress assessment:
  
  1. Written midterm test.
  2. Participation and active work in laboratories + exercises.
  3. Project (minimum is 3 points).
Exam prerequisites:
  

Student must gain at least 15 points during the term. Minimum for the project is 3 points.

 

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