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.
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.