Portale di Ateneo - En.Unibs.it

Borrowed courses

SMART SENSORS AND FIELDBUS

INGEGNERIA ELETTRONICA

comune
SMART SENSORS AND FIELDBUS

INGEGNERIA INFORMATICA

comune
SMART SENSORS AND FIELDBUS

INGEGNERIA INFORMATICA

comune

Other Courses of the Study Programme

Course year: 1

2D VISION SYSTEMS - 6 credits - Characterising
3D VISION SYSTEMS - 6 credits - Student's own choice
ANTENNAS - 6 credits - Student's own choice
APPLIED ECONOMICS IN ENGINEERING - 6 credits - Related/Supplementary
BIOMEDICAL APPLICATIONS FOR HEALTH AND WEALTH - 6 credits - Student's own choice
COMPLEX SYSTEMS ANALYSIS AND CONTROL - 6 credits - Student's own choice
CONDENSED MATTER PHYSICS - 6 credits - Related/Supplementary
CONTROL SYSTEMS TECHNOLOGIES - 9 credits - Student's own choice
ELECTRONIC CIRCUIT DESIGN - 9 credits - Characterising
ELECTRONIC DEVICES - 6 credits - Characterising
ELEMENTS OF SOFTWARE DESIGN - 6 credits - Student's own choice
INDUSTRIAL AND SERVICE ROBOTS - 6 credits - Student's own choice
MEASUREMENT METHODS OF BIOMEDICAL DATA FOR HEALTH AND WEALTH APPLICATIONS - 6 credits - Student's own choice
METHODS OF ELECTRICAL NETWORK ANALYSIS - 6 credits
MICROWAVE ENGINEERING - 6 credits - Student's own choice
MOBILE PROGRAMMING - 6 credits - Student's own choice
MODELLING AND SIMULATION OF DYNAMIC SYSTEMS - 6 credits - Related/Supplementary
NANOPHOTONICS - 3 credits - Student's own choice
OPTICAL COMMUNICATION COMPONENTS - 6 credits - Student's own choice
PLC AND SCADA - 3 credits - Student's own choice
PRACTICAL CHEMISTRY FOR NANOTECHNOLOGY - 3 credits - Student's own choice
PRINCIPLES OF BIOLOGY AND BIOMEDICINE
Attendance grouping
6 credits - Raggruppamento di frequenza - Student's own choice
SCIENTIFIC COMPUTING - 6 credits - Related/Supplementary
SENSORS
Attendance grouping
9 credits - Raggruppamento di frequenza
SMART SENSORS AND FIELDBUS - 6 credits - Characterising

Course year: 2

3D VISION SYSTEMS - 6 credits - Student's own choice
ANALOG INTEGRATED CIRCUIT DESIGN
Attendance grouping
9 credits - Raggruppamento di frequenza
ANTENNAS - 6 credits - Student's own choice
APPLIED ANALYSIS
Attendance grouping
6 credits - Raggruppamento di frequenza - Student's own choice
BIOMEDICAL APPLICATIONS FOR HEALTH AND WEALTH - 6 credits - Student's own choice
COMPLEX SYSTEMS ANALYSIS AND CONTROL - 6 credits - Student's own choice
CONDENSED MATTER PHYSICS - 6 credits - Related/Supplementary
CONTROL SYSTEMS TECHNOLOGIES - 9 credits - Student's own choice
DATA-DRIVEN SYSTEM MODELLING - 6 credits - Related/Supplementary
DIGITAL SYSTEMS AND ARCHITECTURES - 6 credits
ELECTRICAL SYSTEMS FOR AUTOMATION - 6 credits - Student's own choice
ELECTRONIC DEVICES - 6 credits - Characterising
ELECTRONIC SYSTEM DESIGN
Attendance grouping
12 credits - Raggruppamento di frequenza
ELECTRONICS FOR BIOMEDICAL APPLICATIONS - 3 credits - Student's own choice
ELEMENTS OF SOFTWARE DESIGN - 6 credits - Student's own choice
FINAL THESIS - 18 credits - Language/Final Examination
INDUSTRIAL AND SERVICE ROBOTS - 6 credits - Student's own choice
INSTRUMENTATION ELECTRONICS, SENSORS AND MICROSYSTEMS - 9 credits - Characterising
INTEGRATED CIRCUIT DESIGN - 3 credits - Student's own choice
MEASUREMENT METHODS OF BIOMEDICAL DATA FOR HEALTH AND WEALTH APPLICATIONS - 6 credits - Student's own choice
METHODS OF ELECTRICAL NETWORK ANALYSIS - 6 credits
MICROELECTRONICS - 6 credits - Student's own choice
MICROWAVE ENGINEERING - 6 credits - Student's own choice
MOBILE PROGRAMMING - 6 credits - Student's own choice
MODELS WITH DIFFUSION - 3 credits - Student's own choice
NANOPHOTONICS - 3 credits - Student's own choice
OPTICAL COMMUNICATION COMPONENTS - 6 credits - Student's own choice
PLC AND SCADA - 3 credits - Student's own choice
POWER ELECTRONIC SYSTEMS - 6 credits
PRACTICAL CHEMISTRY FOR NANOTECHNOLOGY - 3 credits - Student's own choice
PRINCIPLES OF BIOLOGY AND BIOMEDICINE
Attendance grouping
6 credits - Raggruppamento di frequenza - Student's own choice
SCIENTIFIC COMPUTING - 6 credits - Related/Supplementary
SHOCK WAVES - 3 credits - Student's own choice
SMART SENSORS AND FIELDBUS - 6 credits - Characterising
SYSTEMS AND INSTRUMENTATION FOR AUTOMATION
Attendance grouping
9 credits - Raggruppamento di frequenza

SMART SENSORS AND FIELDBUS

Single discipline educational activity

Course Sheet

Academic Year of enrolment:

2017/2018

Academic Year of provision:

2017/2018

Type of Course:

Characterising

Degree:

Master's Degree Programme in ELECTRONICS ENGINEERING

Disciplinary Sector:

Electric and Electronic Measurement Systems

Language:

Italian

Grouping type:

Credits:

Programme Year:

Professor and Collaborators:

FERRARI Paolo Professor

Cycle:

Second semester

Hours of classroom activity:

Hours of individual study:

Fundamentals of informatics, programming and boolean logic, and fundamentals of communications networks.

Educational Goals

The course is for students interested in the electronic instrumentation for industrial automation, in terms of factory and process automation, open to Industry 4.0. After a brief overview of the components of the automation at the field level, the module focuses on distributed architectures, the most widespread fieldbuses, the Real-time Ethernet, and wireless technologies for industrial applications.

Content

"Intelligent sensors and fieldbus" is a course describing systems for industrial automation for Industry 4.0. A special attention is paid to smart sensors and fieldbuses. It addresses the context of industrial automation at the field level, analyzing factory automation, process, intrinsic safety, with a focus on architectures based on field bus, wired and wireless. In particular, the path that led from the fieldbuses to Real-Time Ethernet solutions and wireless technologies is discussed. Particular attention is given to real-time applications for industry, with reference to the time synchronization, and networks for smart grid and smart metering, with a brief outline of the powerline technologies.

Extended Syllabus

The course for students with basic training in electronic and information technology who want to know the main systems used in factory and process automation in the Industry 4.0 era.. Technologies discussed in this course include: Smart Sensing; Wireless Sensor Networks; Fieldbuses and Real Time Ethernet.
INTELLIGENT SENSORS AND FIELD BUS deals with more arguments:
a) intelligent sensors. Regulations. The networks of sensors and actuators. Application profiles.
b) fieldbus and real-time Ethernet. Ethernet networks for automation and real-time Ethernet networks. The software oriented solutions (eg, Ethernet / IP, Profinet RT) and hardware oriented solutions (eg EtherCAT, Profinet IRT). The problem of synchronization and the standard IEEE1588.
c) wireless sensor networks. Architectures and technologies. Wireless sensor networks for measuring (metering) and automation. Solutions subGHz and at 2.4GHz. M-Bus, WirelessHART.
d) communication systems for energy distribution. IEC61850. Power-line communication solutions.
e) Architectures and technologies for Industry 4.0

Recommended Bibliography

Slides of the course and material aid to the laboratory exercises are available on the website of the University. During the course will be recommended websites and reference books, including Bogdan M. Wilamowski (Editor), J. David Irwin (Editor), "The Industrial Electronics Handbook", Second Edition - Five Volume Set (Electrical Engineering Handbook) http://www.crcpress.com/product/isbn/9781439802892 http://www.amazon.com/Industrial-Communication-Systems-Electronics-Handb....
Klasen F., Oestreich V., Volz M. "Industrial Communication with Fieldbus and Ethernet", Publisher: Vde Verlag Gmbh (Nov. 2011), ISBN-10: 3800733587, ISBN-13: 978-3800733583

Methods of Provision

Conventional

Teaching Methods

The course consists of lectures and exercises in the classroom and in the laboratory, with experience of IoT and Industry 4.0 programming.

Assessment Methods

The course includes exercises and tests. The final examination consists of an oral discussion.

Assessment:

Final Mark

Programme of Educational Activities

Start date of teaching period:

Monday, February 19, 2018

End date of teaching period:

Friday, June 8, 2018

Other Information

no other information

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Other Courses of the Study Programme

Course year: 1

Course year: 2

SMART SENSORS AND FIELDBUS

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