Unit SENSORS AND MICROSYSTEMS IN A CLOUD COMPUTING ENVIRONMENT
- Course
- Electronic engineering for the internet-of-things
- Study-unit Code
- 70A00102
- Curriculum
- Elettronica per l'aerospazio
- Teacher
- Andrea Scorzoni
- Teachers
-
- Andrea Scorzoni
- Hours
- 52 ore - Andrea Scorzoni
- CFU
- 6
- Course Regulation
- Coorte 2016
- Offered
- 2017/18
- Learning activities
- Caratterizzante
- Area
- Ingegneria elettronica
- Academic discipline
- ING-INF/01
- Type of study-unit
- Opzionale (Optional)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian
- Contents
- Introduction on sensors. Thermal, mechanical, magnetic sensors, radiation detectors and examples of microsystems. Laboratory project dedicated to sensor interfacing to cloud platforms.
- Reference texts
- Lecture notes prepared by the educator.Meijer ed.-Smart Sensor Systems, John Wiley and Sons, 2008.J.W. Gardner, Microsensors - Principles and Applications, Wiley (1994 e seguenti). ISBN 0-471-94135-2.John G. Webster (editor), “Medical Instrumentation, Application and Design”, Houghton Mifflin Company, U.S.A. 1992, ISBN 0-395-59492-8Harry N. Norton, Handbook of transducers, Prentice Hall, 1989.S.M. Sze, Semiconductor Sensors, Wiley 1994.C. Doukas, “Building the Internet of Things with the Arduino”, Amazon Distribution GmbH, 2012, Leipzig.
- Educational objectives
- Methodological knowledge: basic knowledge of the theoretical operating principles of the most common types of sensors and detectors and of Micro-Electro-Mechanical Systems (MEMS).Professional skills: understanding of the data sheet of common types of sensors and detectors available on the market. Ability to design a simple electronic system to interface a commercial sensor to a microcontroller connected to the internet. Use of the basic knowledge acquired in this course for continuing education in the field of the digital systems.
- Prerequisites
- The course does not require the student to pass compulsory propaedeutic exams. It exploits different physical concepts but they are introduced from the basic principles: heat flux and transmission in solids and fluids, electromagnetic radiation, Clausius-Clapeyron equation, material elestic theory, piezoresistivity, magnetic properties of materials (optional material: piezoelectricity). Moreover basic concepts and basic equations of semiconductor physics are thoroughly used.The laboratory activity is based on know how acquired in the courses of the three-year Laurea in "Informatica ed Elettronica" of the University of Perugia.
- Teaching methods
- The course is organized as follows:- face to face lectures on all issues of the course;- laboratory project. An ARM Cortex M4 prototyping board will be used. The programming environment could include i) C#-.NET MicroFramework 4.3 with Visual Studio IDE; ii) C++ e ARM mbedOS; iii) TinyCLR-OS and C#-.NET MicroFramework 4.4; iv) other platforms.The board will be connected to different types of sensors and a wireless link will be used to simulate an IoT node and interact with a data base located in the cloud.
- Other information
- No further info.
- Learning verification modality
- The exam could tentatively be organized in a oral examination including a practical discussion on interfacing a prototyping board with a sensor and transmitting the acquired data to a cloud-based data base.
- Extended program
- First guess syllabus (The final version will be made available when the lectures will start)(0.5 CFU) Introduction on sensors. Classification in 6 energetic domains. Sensor parameters. Materials for sensors.(4.5 CFU) Sensors, detectors and examples of microsystems.Thermal sensors: concept of thermal resistance, RTD, thermistors, thermoelectric effects (Seebeck, Peltier), thermocouples, thermopiles. Integrated thermal sensors (PTAT). Examples of microsystems based on thermal sensors: flow sensor, vacuum sensor, infrared radiation sensors based on thermopiles, sensors of relative humidity (RH). Hints on bolometers. Mechanical sensors: strain gauges and definition of gauge factor, pressure sensors and piezoresistive accelerometers, capacitive sensors (and relevant measurement circuits). Magnetic sensors: Hall effect sensors, magnetoresistors. Operating principles of solid state radiation detectors. Active Pixel Sensors (APS). Solid state IR radiation sensors (and need for cooling).(1 CFU) Sensors & IoT laboratory. Sensors deployed in a in cloud computing environment. Basic communication interfaces and protocols for embedded systems (RS232, I2C, SPI).Possible additional/alternate content. Biomedical and e-health sensors. Lab-on-Chip: circuits for temperature control (PCR), photoluminescence, bioluminescence and chemoluminescence detection, Electrowetting on Dielectrics.