450-4004/03 – Measurement Systems (MS)

Gurantor departmentDepartment of Cybernetics and Biomedical EngineeringCredits6
Subject guarantorIng. Radovan Hájovský, Ph.D.Subject version guarantorIng. Radovan Hájovský, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageCzech
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFEIIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
HAJ74 Ing. Radovan Hájovský, Ph.D.
PIE046 Ing. Martin Pieš, Ph.D.
VEL0069 Ing. Jan Velička
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.

Way of continuous check of knowledge in the course of semester

Continuous Study Control: Continuous control of the study is done on the basis of student participation in laboratory exercises. Content and form of individual papers: Protocols from laboratory exercises: Protocols from laboratory exercises contain a standard form for protocols. A detailed description is discussed at the introductory exercise. Semestral project: Design and realization of selected measurement equipment and its analysis according to the assignment. Part of this is the complete documentation for the solution of the semestral project. The presentation of the semester project is successful if the student demonstrates a finished and functional solution. Conditions for the credit: The student can reach a maximum of 20 points for laboratory exercises protocols. It can also reach a maximum of 20 points per semestral project. The minimum number of points to obtain the credit is 10 and the minimum attendance is 85%. To past the course, the student must receive a credit and pass a final exam. The final exam has two parts - written with 5-40 points and oral with 5-20 points. To past the course, the student must pass both parts of the exam.

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. a. Description of the individual stages of implementation, b. Requirements for measurement systems, c. Distribution of measuring systems. 2.Basic description of information retrieval and transmission in measurement information systems. a. The basic model of the measurement system, b. Fundamentals of optimization of the measurement information system, c. Overview of the statistical characteristics of the signals used in the measurement systems - distribution function, probability density, expected value, correlation function and spectral power density d. Methods for measurement the statistical characteristics of the signals 3.Processing of stochastic signals. a. The measurement signal as a random process, b. Characteristics of the random process, c. Random process stationary and ergodic. d. Random process analysis in time and frequency domains. 4.Characteristics and quality criteria of the measurement information system in the frequency and time domain. a. Zeros and poles of the transmission function, b. Transient and impulse characteristics and their calculation from the transfer function, c. The relationship between input and output functions, d. Frequency characteristics and their implementation. e. The mean quadratic error criterion. 5.Criteria for the quality of measurement systems according to information theory. a. The information content of the measurement signal, b. Input and output entropy, c. Transinformation, d. Total and residual signal entropy, e. Flow information and capacity of the measurement channel. 6.Design of the structure of the measurement system. a. Definition of input and output signals b. Simple and branched measurement systems, c. Calibration of measurement systems. 7.Characteristics of the individual components of the measurement system. a. Static and dynamic properties, ranges, accuracy, usability, b. Connectivity options for connectivity of individual components, selection of individual components. 8.HW implementation of the measurement system. a. Selection of suitable components for the measuring system, b. Mutual cooperation and compatibility of individual components, c. Compliance with EMC. 9.Synthesis of measurement systems in connection with the development of Industry 4.0. a. Basic characteristics, requirements, implementations, b. Explanation of the term cyber-physical systems, c. Energy performance of components, d. Energy harvesting, autonomous systems. 10.Design of measurement systems and their implementation in the field of IoT. a. Requirements for components of measurement systems, their properties, b. Miniaturization, weather protection, c. Protection against external interference, d. Choice of transmission technology. 11.HW devices for IoT based on measurement systems. a. Wireless technologies for IoT. Lora, Sigfox, IQRF, b. Use of development tools for designing and testing of measurement systems, c. Means for powering the components of the measurement systems. 12. Effect of interference on measurement accuracy and elimination. a. Internal interference, external interference, b. Temperature dependence of the measurement system, c. Testing the measurement system, d. Interference Correction Options. 13.Data processing and visualization. a. A description of the data acquisition, archiving and visualization process, b. Examples of visualization systems, data bindings, practical examples of visualization applications. 14.EMC and its impact on measurement systems. a. Description of EMC issues with focus on measurement systems, b. EMC parameter measurement methods, c. Basic principles of transmission of interfering signals, d. Methods of protection against interfering signals. Laboratories: 1. Introductory exercise, familiarization with laboratory equipment from the point of view of the design and implementation of measurement instruments systems, training of work safety, familiarization with laboratory tasks, familiarization with concept of a semestral project. 2. Getting acquainted with the given HW platforms for creating measurement and monitoring systems (Raspberry Pi, Arduino, IQRF, etc.), demonstration of basic wiring, design and realization of connection for temperature measurement using DS18B20, implementation of visualization using the selected SW platform, evaluation of the measured ones data, work on a semestral project. 3. Static and dynamic properties of measurement systems. Basic concept of measurement system, dynamic properties in the time and frequency domain with focus on the sensor part, time measurement characteristics of temperature sensors (PT 100, TC), evaluation of measurements, work on semestral project. 4. Deformation measurement. Familiarization with sensors for measurement deformations, inclinometers, strain gauges, demonstration of wiring and resulting signals, depending on deformation, design and realization of wiring of the selected sensor on the HW platform using analog input ports (AI), evaluation of measured data, work on semestral project. 5. Distance measurement. Demonstration of selected sensor types for distance measurement, ultrasonic sensors, optical sensors, design and implementation of the measurement system on a given platform using I2C digital bus, evaluation of measured data, work on the semestral project. 6. Measurement of displacement. Demonstration of selected sensor types for displacement measurement, LVDT sensors, linear potentiometer, capacitive sensors, design and implementation of the measurement system on a given platform, demonstration of interference on the measurement chain (superimposed interference), proposal of interference correction evaluation of measured data, work on semestral project. 7. Commercial monitoring systems. Examples of selected commercial monitoring systems, demonstration of their use, sensor connection, data transfer, processing and visualization, measurement on DIXELL, Fiedler-Magr, demonstration of AD4ETH, evaluation and visualization of measured data, work on the semestral project. 8. IQRF technology. Basic Demonstration, MESH Network Configuration, Demonstration of Data Retrieval from sensors, data transfer to the cloud, work on the semestral project. 9. Creation of a measurement system using IQRF modules, demonstration of use of different types of gates for data transmission (GSM, ETH), work on the semestral project. 10. Demonstration of use of LoRa, SigFox, NB-IoT systems for measurement and data transfer, work on semestral project. 11. Visualization of measured data. Visualization options - dynamic web pages, SW systems Grafana, NodeRed, IBM Bluemix - examples of use, work on a semestral project. 12. Electromagnetic compatibility and its impact on MS. Demonstration of EMC impact on MS quality, measurement conduction and radiation interference, proximity field probes, sample measurements in GTEM chamber, analysis of measured data, finalization of semestral projects. 13. Consultation exercises, possibility of substitution measurement, finalization of semestral projects. 14. Consultation exercises, discussion over measurement protocols, presentation of semestral projects, credit. Semestral project: * 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

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 40  10
        Examination Examination 60 (60) 10
                Písemná zkouška Written examination 40  5
                Ústní zkouška Oral examination 20  5
Mandatory attendence parzicipation: the minimum attendance is 85%.

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (N0714A150001) Control and Information Systems KYB P Czech Ostrava 1 Compulsory study plan
2021/2022 (N0714A150001) Control and Information Systems KYB K Czech Ostrava 1 Compulsory study plan
2020/2021 (N0714A150001) Control and Information Systems KYB P Czech Ostrava 1 Compulsory study plan
2020/2021 (N0714A150001) Control and Information Systems KYB K Czech Ostrava 1 Compulsory study plan
2019/2020 (N0714A150001) Control and Information Systems KYB P Czech Ostrava 1 Compulsory study plan
2019/2020 (N0714A150001) Control and Information Systems KYB K Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner