450-4004/01 – Measurement Systems (MS)

Gurantor departmentDepartment of Cybernetics and Biomedical EngineeringCredits6
Subject guarantordoc. Ing. Radovan Hájovský, Ph.D.Subject version guarantordoc. Ing. Radovan Hájovský, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageCzech
Year of introduction2010/2011Year of cancellation2021/2022
Intended for the facultiesFEIIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
HAJ74 doc. Ing. Radovan Hájovský, Ph.D.
PIE046 Ing. Martin Pieš, Ph.D.
SKO0076 Ing. Jiří Škovránek
VEL0069 Ing. Jan Velička, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Part-time Credit and Examination 2+12

Subject aims expressed by acquired skills and competences

The aim of the course is to introduce students to the analysis and synthesis of a modern measurement system. Detailed blocks of the measurement system are explained in detail, focusing on their important parameters in the time and frequency domain and also with regard to the maximization of the transmitted information. Students are acquainted with methods of design of measurement system, with problems of choice of suitable sensor, transmission channel, processing and visualization of data. Another objective of the course is to demonstrate to students the means for realization of complex measurement system in connection with trends in Industry 4.0 and in particular IoT. Students are acquainted with HW components for this realization with a view to minimizing energy consumption and in particular protection against weather influences. Here are the individual wireless systems used for IoT technology. The aim of the course is also to acquaint students with the possibilities of data archiving in cloud storage and processing and visualization of data using SW systems such as IBM Bluemix, Grafana, NodeRed etc. Students are also presented with basic information on electromagnetic compatibility in connection with the development and implementation of measurement systems. Upon completion of the course the students will be able to design and implement the measurement system correctly, will be able to choose the data storage and using the selected SW solution to process and visualize the data.

Teaching methods

Lectures
Individual consultations
Tutorials
Experimental work in labs
Project work

Summary

The subject is focused on the analysis and synthesis of a complex measurement system in terms of its properties as a special cybernetic system of transmitting and processing signal with certain information. It presents general and special criteria of its quality in the time and frequency domain as well as information theory. There are basic definitions and information on the requirements of the measurement system, the distribution of measurement systems and the description of the individual stages of its design and implementation. Students are acquainted with problems of obtaining and transmitting information in the measurement system, with problems of random process and analysis of this process in time and frequency domain. In addition, the individual steps in the design of the measurement system are explained in detail with regard to the detailed description of each component, especially its properties and the way of use. The subject is also focused on modern trends in the synthesis of measurement systems in connection with the development in Industry 4.0 and IoT. Students are familiar with this issue and they are practically demonstrated by selected HW components forming an IoT based measurement system. There are also demonstrated wireless technologies used in IoT such as Lora, SigFox, IQRF. Last but not least, the students are acquainted with the possibilities of archiving of measured data, their processing and visualization through the selected SW system. Finally, the basic concepts of electromagnetic compatibility with focus on the development and implementation of the measurement system, especially on the area of ​​measurement and analysis of disturbing signals, are explained.

Compulsory literature:

Sydenham, P., Thorn, R.: Handbook of Measuring System design, Wiley&Sons, 2009 Morris, A.: Measurement and Instrumentation Principles, Butterworth-Heinemann, Oxford 2001 Garrett,P.H.:Computer Interface Engineering for Real Time Systems, Prentice-Hall, Inc., 1987.

Recommended literature:

SYDENHAM, P. H. a Richard THORN. Handbook of measuring system design. Chichester, England: Wiley, c2005. ISBN 978-0-470-02143-9. NAWROCKI, Waldemar. Measurement systems and sensors. Boston, Mass.: Artech House, c2005. ISBN 1-58053-945-9. BENTLEY, John P. Principles of measurement systems. 4th ed. New York: Pearson Prentice Hall, 2005. ISBN 0130430285. ALCIATORE, David G. a Michael B. HISTAND. Introduction to mechatronics and measurement systems. 4th ed. New York: McGraw-Hill, c2012. ISBN 978-0-07-338023-0.

Additional study materials

Way of continuous check of knowledge in the course of semester

Verification of study: Essay, half-yearly work (scholastic project) Content and form of assessed works: Essay: Technical exposition fabricated on the base of minimally three sources (two of them must be of foreign origin and language) at the theme in accordance of student´s selection, must be approved by lecturer. Must contain bibliography (arranged with accordance with valid standards). The layout is given at the beginning of the semester. Construction of the selected electronic equipment and its measurement in according with EMC requirements. Documentation must contain graphic and text part in extent by assignment of the half-yearly project. The vindication is successful, when student presents his own scholastic project. Conditions for credit: Classification of study: Submission term of Essays, electronic way (WEB) - up to 7. Week Half-yearly work To pass the laboratory part of the course student has to gain at least 10 points. To pass the course student has to pass both of the laboratory part of the course and the final exam. The final exam consists of writing part 5 - 20 points and oral part 5 -35 points. Student have to be succeed in all parts of examination.

E-learning

Other requirements

There are not defined other requirements for student

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

lectures: 1. Introduction to the design and implementation of measurement systems, particular stages of implementation, requirements for measuring systems, measuring systems division. 2. General description of the acquisition and transmission of information in measuring information systems. The basic model of the measuring system, the optimization of the measuring information system, an overview of the statistical characteristics of signals used in measurement systems - distribution function, probability density function, expected value, correlation function and power spectral density, ways of measuring the statistical characteristics of signals. 3. Processing of stochastic signals. Measuring signal as a random process, characteristics of random process, random process stationary and ergodic. Analysis of a random process in time and frequency domains. 4. Characteristics and criteria for measuring quality of the information system in the frequency and time domains. Poles and zeros of the transfer function, impulse response and transition and its calculation of the transfer function of the relation between input and output functions, frequency characteristics and their implementation. The criterion of the mean square error. 5. Criteria Quality of information theory. Information content test signal input and output entropy, transinformace. Total and residual entropy signal. The flow of information and capacity measuring channel. 6. Reliability of information transmission. Continuous information transmission reliability and the probability of transmission errors for linear systems with the effect of interfering signals. 7. Transinformace. The relative transmission reliability, the reliability and the probability of error, upper confidence limit, the flow of information and channel capacity, compared to analog and digital methods of measurement in terms of information theory. 8. Optimize measurement systems by dynamic properties. Correction of dynamic properties of the measuring system. Ideal correction. Digital correction. The condition of the physical feasibility, outline correction members, compensatory method. 9. The draft structure of the measuring system, the definition of input and output signals, simple and branched measuring systems, calibration of measuring systems. 10. characteristics of individual components of the measurement system, static and dynamic characteristics, range, accuracy, usability. Means of communication options for connectivity of individual components, the process of selecting individual components. Hw realization of the measuring system. 11. Influence of disturbances on measurement accuracy and its elimination. Internal interference, external interference, temperature dependence of the measuring system, the testing of the measuring system, interference correction options. 12. Systems for data transmission. Wired and wireless buses and technology. Description of technologies, their parameters, reach, usability. Examples of use. 13. Treatments and data visualization. Describing the process of acquiring, archiving and data visualization. Examples of visualization systems, bondage data, practical examples of visualization applications. 14. EMC and its influence on the measuring systems. Description of the EMC focused on measuring systems. Methods of measuring parameters of EMC. Basic principles of transmission of spurious signals. Methods of protection against interfering signals. laboratories: 1. Introduction, familiarization with laboratory equipment in terms of design and implementation of measurement systems, safety training, introduction to laboratory, familiarity with the concept of term project. 2. The Platform Raspberry + Arduino + Rex. Getting to know the underlying platform for the generation of test and monitoring systems, introduction to the development environment REX Control and its possible links with hardware platforms Raspberry + Arduino, demonstration of basic circuits, design and realization of wiring for temperature measurement using DS18B20, execution visualization by Reliance, data evaluation , work on project. 3. Static and dynamic properties of measuring systems. The basic concept of the measuring system, dynamic properties in time and frequency domain with a focus on the sensory part time measurement characteristics of temperature sensors (PT 100 HP), evaluation of measurement, work on project. 4. Measuring deformations. Familiarization with sensors for measuring deformation, inclinometer, strain gauges, exhibition participation and the resulting signals depending on the deformation, design and implementation of selected sensor wiring Arduino platform, data evaluation, work on project. 5. Measurement of gas concentrations. Demonstration incandescent and electrochemical sensors for measurement of gas concentrations, demonstrations sensors for different gases series TGS, design and implementation of measurement system for measuring the gas selected on the Arduino platform, data evaluation, work on project. 6. Measuring distances. Demonstration of selected types of sensors for distance measurement, ultrasonic sensors, optical sensors, design and implementation of the measurement system on the platform Arduino, data evaluation, work on project. 7. Measuring shift. Demonstration of selected types of sensors for measuring displacement LVDT transducer, linear potentiometer, capacitive sensors, design and implementation of the measurement system on the platform Arduino, data evaluation, work on project. 8. Commercial monitoring systems. Samples selected commercial monitoring systems, demonstrating their use, connectivity options sensors, transmission, processing and visualization of data, measuring system Dixell Fiedler-Magr demonstration AD4ETH converters, data evaluation, work on project - data visualization. 9. instrument control applications using Agilent Vee SW. Learning the system Agilent VEE, demonstrating the involvement of measuring instruments and sample their control using that software. 10. Electromagnetic Compatibility and its impact on EMC. Demonstration EMC influence on the quality of MS, measuring the conducted and radiated measurement using the near-field probe, sample measurements in GTEM chamber, data analysis, finalization of the projects. 11. Presentation of the projects. Presentation of achievements of the project, discussion of the problems identified, handing control of measurement reports, credit. projects: * Each student gets at the beginning of the semester, one large project that is processed using measuring and computing. Duration solving of the project is approximately 20 hours. Project Title: Design and implementation of a measuring system for measuring desired variables, examination of the dynamic properties and optimize data transmission.

Conditions for subject completion

Part-time form (validity from: 2012/2013 Winter semester, validity until: 2021/2022 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 40 (40) 10
                Laboratorní práce Laboratory work 20  5
                Jiný typ úlohy Other task type 20  5
        Examination Examination 60 (60) 10 3
                Písemná zkouška Written examination 40  5
                Ústní zkouška Oral examination 20  5
Mandatory attendence participation: 80% attendance at the exercises

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (N2649) Electrical Engineering (2612T041) Control and Information Systems P Czech Ostrava 1 Compulsory study plan
2021/2022 (N2649) Electrical Engineering (2612T041) Control and Information Systems K Czech Ostrava 1 Compulsory study plan
2020/2021 (N2649) Electrical Engineering (2612T041) Control and Information Systems P Czech Ostrava 1 Compulsory study plan
2020/2021 (N2649) Electrical Engineering (2612T041) Control and Information Systems K Czech Ostrava 1 Compulsory study plan
2019/2020 (N2649) Electrical Engineering (2612T041) Control and Information Systems P Czech Ostrava 1 Compulsory study plan
2019/2020 (N2649) Electrical Engineering (2612T041) Control and Information Systems K Czech Ostrava 1 Compulsory study plan
2018/2019 (N2649) Electrical Engineering (2612T041) Control and Information Systems P Czech Ostrava 1 Compulsory study plan
2018/2019 (N2649) Electrical Engineering (2612T041) Control and Information Systems K Czech Ostrava 1 Compulsory study plan
2017/2018 (N2649) Electrical Engineering (2612T041) Control and Information Systems P Czech Ostrava 1 Compulsory study plan
2017/2018 (N2649) Electrical Engineering (2612T041) Control and Information Systems K Czech Ostrava 1 Compulsory study plan
2016/2017 (N2649) Electrical Engineering (2612T041) Control and Information Systems P Czech Ostrava 1 Compulsory study plan
2016/2017 (N2649) Electrical Engineering (2612T041) Control and Information Systems K Czech Ostrava 1 Compulsory study plan
2015/2016 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering K Czech Ostrava 1 Compulsory study plan
2015/2016 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering P Czech Ostrava 1 Compulsory study plan
2015/2016 (N2649) Electrical Engineering (2612T041) Control and Information Systems K Czech Ostrava 1 Compulsory study plan
2015/2016 (N2649) Electrical Engineering (2612T041) Control and Information Systems P Czech Ostrava 1 Compulsory study plan
2014/2015 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering K Czech Ostrava 1 Compulsory study plan
2014/2015 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering P Czech Ostrava 1 Compulsory study plan
2013/2014 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering P Czech Ostrava 1 Compulsory study plan
2013/2014 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering K Czech Ostrava 1 Compulsory study plan
2012/2013 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering P Czech Ostrava 1 Compulsory study plan
2012/2013 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering K Czech Ostrava 1 Compulsory study plan
2011/2012 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering P Czech Ostrava 1 Compulsory study plan
2011/2012 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering K Czech Ostrava 1 Compulsory study plan
2010/2011 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering P Czech Ostrava 1 Compulsory study plan
2010/2011 (N2649) Electrical Engineering (2601T004) Measurement and Control Engineering K Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

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Assessment of instruction



2018/2019 Summer
2017/2018 Summer
2016/2017 Summer
2015/2016 Summer
2012/2013 Summer
2011/2012 Summer
2010/2011 Summer