Course detail

Sensorics and Elements of Artificial Intelligence

FSI-GSEAcad. year: 2010/2011

The course is closely linked with intelligent mechatronic systems. One of the most important parts is a sensor working according to various physical principles. Modern technologies of sensor production enable a high integrity of complex measurement chain. Unified inputs/outputs (I/O) and standard communication interfaces enable easy and user-friendly integration into more sophisticated control systems. Sensors are tools for monitoring the internal state of the mechatronic systems and the interactions between system and environment. Today sensors are applied extensively in industrial automation, transportation and real technical world and the rudimentary knowledge of sensors belongs to the basic technical knowledge.

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

Ing. Pavel Houška, Ph.D.

Department

Institute of Automation and Computer Science (ÚAI)

Learning outcomes of the course unit

Measurement fundamentals, signal processing methods and sensors overview based on various physical principles and sensors applications in practice. Introduction to modern sensor trends, sensor fusion and integration, artificial intelligence methods.

Prerequisites

Fundamentals of analogue and digital electronics. Fundamentals of measurements of electrical and non-electrical quantities. Fundamentals of physics, mechanics and mathematics. Fundamentals of data and signal processing.

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

For the course-unit credit award at least 80 % attendance at seminars is required and individual working out a seminar assignment. Examination consists of written test (particular part of lecture topics) and oral test (based on one solved task from applied sensorics).

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Theoretical fundamentals and practical know-how of applied sensorics. Sensor applications are pointed to automation and mechatronics. Acquired knowledge enables students to integrate into realisation teams solving system development, projection and production of intelligent systems and interdisciplinary tasks in engineering practice.

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

The controlled lesson is a seminar. The attendance at seminars is recorded and the level of knowledge is tested by assignments. Missed lessons are compensated by home assignments related to a relevant topic. A teacher evaluates the quality of the assignment.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

LabVIEW Measurements Manual, National Instruments, April 2003 Edition, Part Number 322661B-01, dostupné z www.ni.com (EN)
Husák M.: Senzorové systémy. Praha, ČVUT 1993 (CS)
Zehnula, K.: Čidla robotů. Praha, SNTL 1990 (CS)

Classification of course in study plans

  • Programme M2A-P Master's

    branch M-MET , 2. year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Ing. Pavel Houška, Ph.D.

Syllabus

1. Introduction, basic terminology and general characteristic of sensors
2. Sensor modelling and identification
3. Methods of sensor connection - analog connections
4. Methods of sensor connection - digital interfaces
5. Principles of SMART sensors
6. Integrated and MEMS sensors
7. Sensors for electrical quantities measurement
9. Sensors for positions, velocity and acceleration measurement
10. Sensors for pressure, tension, force and torque measurement
11. Sensors for flow, flow rate and mass measurement
12. Sensors for level, density and viscosity measurement
13. Special sensors

labs and studios

13 hours, compulsory

Teacher / Lecturer

Ing. Pavel Houška, Ph.D.

Syllabus

1. Micromechanical Sensors (MEMS).
2. Fibre-optical Sensors.
3. CCD Sensors and PSD Sensors.
4. Microwave sensors.
5. Tactile Sensors.
6. Proximity Sensors.
7. Sensors for Particular Mechanical Measurements (Accelerometers, Gyroscopes, Force, Torque Measurements,...).
8. Biosensors and Chemical Sensors.
9. Ferro-electric (piezoelectric) Sensors.
10.Sensor Communication and Databuse Interface Design (Properties, Industrial Standards and Specifications).
11.Multi-sensors and Sensors Integration.
12.Signal Processing and Data Fusion.
13.Navigation Sensors (Inertial, Non-inertial Navigation).