Czech

Not applicable.

Graduate student knows:
- terminology of measurement systems,
- basic modular systems for automation of measurement and corresponding standards.
Graduate student can:
- perform theoretical design of the measurement system,
- determine sources of uncertainty in the measurement system,
- create simple measurement system including software implementation (NI LabVIEW),
- determine requirements for the robustness of the system and its operation.

Knowledge in the Bachelor's degree level and basic usage of the development environment NI LabVIEW is required.

Not applicable.

Teaching methods depend on the type of education which are described in the Article No. 7 of the Study and Examination Regulations of BUT. Teaching methods include lectures and laboratory work.

Up to 10 points for laboratory exercises
2 laboratory task - up to 10 points

Up to 20 point for submissions homework tutorials
Up to 70 points for the final written exam.

1. Introduction, course content, basic terms.
2. Theoretical foundations of automation of measurement - the characteristics of the measurement chain, measurement uncertainties in automated systems (CSN EN 60359).
3. Terminology, structure and requirements for measurement systems (virtual, modular).
4. Analog circuits in measurement systems (A/A, A/D, D/A converters).
5. Sampling and its properties, aliasing effects and its limitations, multichannel data acquisition.
6. Basic components for measurement systems consisting of specialized equipment.
7. Universal hardware for data acquisition, analysis and processing.
8. Modular measurement systems (PXI, CompactRIO).
9. Communication between measurement instruments and PC (RS232, GPIB, USB, Ethernet).
10. Language for communication with measuring instruments (SCPI).
11. Software tools for measurement systems and virtual instrumentation.

Not applicable.

The course goal is to familiarize students with the process of design and implementation of measurement systems. Student will learn to work with common measurement systems and understand the problems of measurement automation. Student is able to choose an appropriate concept of measurement system, assemble it and determine its measurement uncertainty. He knows the way of description of the general properties and structure of the measurement system.

Participation in laboratory exercises is not mandatory excluding the first exercise. Assessment is based on submission of one project and evaluation of student activities in the exercises during the semester.

Not applicable.

Not applicable.

Not applicable.

KOCOUREK, P. Číslicové měřicí systémy. Vydavatelství ČVUT. (CS)