AUTOMATION SYSTEMS FOR FOOD PROCESSING PLANTS

Course Information
TitleΣΥΣΤΗΜΑΤΑ ΑΥΤΟΜΑΤΙΣΜΟΥ ΒΙΟΜΗΧΑΝΙΩΝ ΤΡΟΦΙΜΩΝ / AUTOMATION SYSTEMS FOR FOOD PROCESSING PLANTS
CodeΝ323Ε
FacultyAgriculture, Forestry and Natural Environment
SchoolAgriculture
Cycle / Level1st / Undergraduate
Teaching PeriodWinter
CommonYes
StatusActive
Course ID420001918

Programme of Study: PPS Geōponías (2019-sīmera)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses belonging to the otherWinter-4
EPISTĪMĪS KAI TECΗNOLOGIAS TROFIMŌNElective Course belonging to the selected specialization (Elective Specialization Course)Winter-4

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Class ID
600120049
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Prerequisites
General Prerequisites
Students should have basic background in Food Engineering as well as in the Principles of Food Processing and Preservation
Learning Outcomes
Upon completion of this course, students will be able to: 1. understand principles related to automation systems and process control, 2. understand the developments in process control equipment and automation systems, 3. make informed decisions about the most appropriate automation level for a food plant and about its development procedure, 4. understand the operation of the different components of an automation system.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Design and manage projects
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction to automatic control. Open loop and closed loop control. Sensors. Instrumentation and process control loops. Components of of control systems (valves, relays, transistors, photocells, thermostats). Binary logic and logical control. Implementation of automation systems with digital circuits and programmable logic controllers (PLC). Developments in process control equipment and automation systems (“smart” sensors, digital communication networks, statistical process control, process validation). Artificial intelligence and expert systems. Neural networks and machine vision in food processing. Examples of industrial applications. Trends in process automation for fruit and vegetable quality control.
Keywords
Automation, Control systems, Sensor, Logic controller
Educational Material Types
  • Notes
  • Slide presentations
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Communication with Students
Description
Teaching software: powerpoint e-class platform: eLearning.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures79
Written assigments30
Exams3
Total112
Student Assessment
Description
Tests and written exams at the end of semester
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative, Summative)
  • Written Exam with Short Answer Questions (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Συστήματα Αυτοματισμού Γεωργικών Βιομηχανιών. Διδακτικές Σημειώσες. Χαράλαμπος Ν. Λαζαρίδης. 2006.
Additional bibliography for study
Εισαγωγή στους Αυτοματισμούς. Αντωνόπουλος Σ., Κουτουλάκος Χ., Μανίκας Γ., Νικολάου Γ., Ιωάννου Χ., Καζαντζίδης Γ. Εκδόσεις Ζαμπάρα. Ηλεκτρολογία 4. Εισαγωγή στους αυτοματισμούς (μετάφραση). Bastian P., Eichler W., Bumiller H. Εκδόσεις Ευρωπαϊκές Τεχνολογικές Εκδόσεις, 2000.
Last Update
27-01-2019