Intelligent Sensors

• 26 hrs lectures
• 4 hrs exercises
• 4 hrs laboratories
• 18 hrs projects

To acquaint with the measurement of physical quantities. To learn how to convert physical quantities to electronic form using sensors. To learn how to transmit, process, and use acquired data.

To inform about the measurement of the physical quantities. To learn how the physical quantities are converted to an electronic form using sensors. To learn how to transmit, process and use data.

There are no prerequisites

• 1. Cai, Z.X.: Intelligent Control: Principles, Techniques and Applications, World Scientific, ICIA Vol. 7, 1997, p. 451, ISBN 981-02-2564-4.
  2. Martinek, R.: Senzory v průmyslové praxi, BEN - technická literatura, 2004, ISBN 80-7300-114-4.
  3. Fraden, J.: Handbook of Modern Sensors: Physics, Designs, and Applications, AIP Press, 2003, ISBN 0387007504.
  4. Frank, R.: Understanding Smart Sensors, Artech House Publishers, 2000, ISBN 0890063117.
  5. Yamasaki, H.: Intelligent Sensors, Elsevier, 1996, p. 298, ISBN 0-444-89515-9.

• 1. Martinek, R.: Senzory v průmyslové praxi, BEN - technická literatura, 2004, ISBN 80-7300-114-4
  2. Švec, J.: Příručka automatizační a výpočetní techniky, SNTL, 1975
  3. Fraden, J.: Handbook of Modern Sensors: Physics, Designs, and Applications, AIP Press, 2003, ISBN 0387007504
  4. Frank, R.: Understanding Smart Sensors, Artech House Publishers, 2000, ISBN 0890063117
  5. Brignell, J., White, N.: Intelligent Sensor Systems (Sensors), Institute of Physics Publishing, 1994, ISBN 0750302976
  6. Ristic, L.: Sensor Technology and Devices, Artech House Publishers, 1994, ISBN 0890065322

1. Introduction - sensors, types of sensors, their parameters. Microelektronic and microelectromechanic systems.
2. Electrical conductibility in different materials and components for the sensor production (semi-conductors, diodes, trsnsistors, ...), brief introduction to the sensor production.
3. Selected types of the measurement of the physical quantities (position estimation, measurement of the pressure, flow, temperature, optical, electrical, chemical, and magnetical quantities).
4. Basic sensing principles (function and physical principles) - how do the sensors work?
5. Sensor data acquirement. Basic principles of the acquirement and transmition of the data (signals and busses).
6. Data processing. Pattern recognition and classification.
7. Intelligent sensors I. Definitions, examples.
8. Intelligent sensors II. Complex sensors, biometric sensors (fingerprint scanners, retina scanners, etc.).
9. Soft-Computing (fuzzy logic, neural networks, agents), use in the intelligent sensors.
10. Sonsor networks I. Centralised and decentralised system of the measurement chains. Communication (IEEE 1415), distributed systems.
11. Sensor networks II. Sensor networks as a multiagent systems.
12. Practical examples of the intelligent sensors.
13. Future of the intelligent sensors, trends (nanosensors, biosensors).

1. Theoretical calculations - measurement, errors.
2. Theoretical calculations - selected measurement processes.

1. Work with elementary sensors. Practical examples.
2. Work with complex sensors. Practical examples.

Student must gain at least 15 points during the term.

1. Written midterm test
2. Participation and active work in laboratories + exercises
3. Project