Course detail

Sensor Systems

FEKT-LSSYAcad. year: 2010/2011

Definitions and internal structure of sensors. Sensor signal gathering and processing. Survey of modern sensor types. Semiconductor and microelectronic sensors. SMART sensors. Classification of sensor signals. Distribution of sensor systems. Centralized and decentralized sensor systems. Laboratory measuring system. Distributed industrial sensor systems. Network topology. Fundamental types of industrial sensor systems: PROFIBUS, BITBUS, INTERBUS-S, CAN, DIN-MESSBUS. Measuring system programming. Virtual measuring systems. The LabVIEW system. Signalling technique and safety engineering. Automatized exploitation of data. Introduction to technical diagnostics.

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

doc. Ing. Ivan Rampl, CSc.

Department

Department of Telecommunications (UTKO)

Learning outcomes of the course unit

The students will obtain an overview of the elements and communication systems used in the laboratory and industrial measuring practice. They will become acquainted with virtual instrumentation, inclusive of the development of their own proposals for virtual measuring systems. The study is completed by an introduction to technical diagnostics.

Prerequisites

The subject knowledge on the Bachelor´s degree level is requested.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

final examination

Course curriculum

Survey of physical and technological principles of the modern sensors. Intelligent senzors (SMART senzors). Sensor-based signal processing.
- Sensor-based systems division. Centralized and decentralized sensor systems. Laboratory measuring systems.
- Measuring systems of an extensive gathering. Examples of the decentralized sensor-based systems. Measuring systems for high sampling rate.
- Introduction to the technical diagnostics. Diagnostic models. Symptomatic methods of recognition. Examples of using in the industrial activities.
- Introduction to the fuzzy logic.
- Introduction to the neural networks.
- Theoretic description of acoustic, mechanical and electromagnetical waves. Waves in an open and closed environment.
- Wave field of more sources. Diffusion through a homogeneous and inhomogeneous medium.
- Sensor arrays, linear and planar. Sources and sensor arrays.

Work placements

Not applicable.

Aims

Introducing the course for the field of Electronics and Communication engineering is aimed at making the students familiar with the representative sensor systems, with their components and their practical exploitation. The students will obtain a fundamental theoretical orientation in the area of modern sensor technology and they will acquire some skills in design procedures by way of solving practical examples.

Specification of controlled education, way of implementation and compensation for absences

The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

ĎAĎO,S.-KREIDL,M.:Senzory a měřicí obvody. ČVUT Praha 1996

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EEKR-ML Master's

    branch ML-TIT , 1 year of study, winter semester, elective specialised

  • Programme EEKR-CZV lifelong learning

    branch EE-FLE , 1 year of study, winter semester, elective specialised

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

doc. Ing. Ivan Rampl, CSc.

Syllabus

Introduction to sensor systems. Definitions and internal structure of sensors. Distribution of sensors.
Technical parameters of sensors. Methods of reducing sensor faults.
Sensors of mechanical, thermic and optical variables.
Semiconductor and microelectronic sensors. SMART sensors.
Sensor signal gathering and processing. Classification of sensor signals.
Distribution of sensor systems. Centralized and decentralized systems.
Laboratory measuring systems. Measuring systems with IEEE 488 bus.
Measuring systems with RS-232 bus. Measuring systems with interface modules.
Industrial distributed sensor systems. Network topology. A RS-485 bus. Methods of medium access control.
Fundamental types of industrial distributed sensor systems: PROFIBUS, BITBUS, INTERBUS-S, CAN, DIN-MESSBUS.
Measuring system programming. Virtual measuring systems. The LavVIEW virtual system.
Signalling technique and safety engineering.
Introduction to technical diagnostics. Modelling and simulation.

Fundamentals seminar

13 hod., optionally

Teacher / Lecturer

doc. Ing. Ivan Rampl, CSc.

Syllabus

Numerical examples explaining the static and dynamic properties of sensors.
Examples of methods of reducing sensor faults. Description of the properties of individual parts of a measuring string with calculations.
Representative numerical examples illustrating the properties of sensors of mechanical, thermic and optical variables.
Calculations of the circuits of sensor signal processing.
Description and examples of measuring systems with IEEE 488 and RS-232 buses.
Introduction to G programming. Examples of virtual instrumentation using the LabVIEW 5.1 system.
Examples of signalling techniques and safety engineering.

Laboratory exercise

13 hod., compulsory

Teacher / Lecturer

doc. Ing. Ivan Rampl, CSc.

Syllabus

Properties of mechnical, thermic and optical sensors I.
Properties of mechnical, thermic and optical sensors II.
Properties of the LabVIEW 5.1 system.
Practical exploitation of the LabVIEW 5.1 system.
Properties of safety engineering equipment I.
Properties of safety engineering equipment II.