Scheda programma d'esame
INFORMATION TECHNOLOGIES FOR INDUSTRY 4.0
ENZO MINGOZZI
Anno accademico2021/22
CdSTECNOLOGIA E PRODUZIONE DELLA CARTA E DEL CARTONE
Codice716AA
CFU6
PeriodoPrimo semestre
LinguaItaliano

ModuliSettore/iTipoOreDocente/i
INFORMATION TECHNOLOGIES FOR INDUSTRY 4.0ING-INF/05LEZIONI60
ALESSANDRO DAL PINO unimap
MARCO FROSOLINI unimap
ENZO MINGOZZI unimap
Programma non disponibile nella lingua selezionata
Learning outcomes
Knowledge

The student will learn about

  • foundational elements of information and communication technologies, with specific focus on those relevant for use in factory and process automation systems;
  • computing and networking technologies currently deployed in industrial settings, as well as emerging ones towards the realization of the fourth industrial revolution, otherwise known as Industry 4.0;
  • industrial process control systems: Supervisory Control and Data Acquisition (SCADA) systems, Distributed Control Systems (DCS), and Quality Control Systems (QCS);
  • basic data analytics to be used in prognostics and process evaluation and optimisation.
Assessment criteria of knowledge

The student will be assessed on his/her demonstrated ability to discuss the main course contents using the appropriate terminology. During the oral exam the student must be able to demonstrate his/her knowledge of the concepts developed in the course.

 

Skills

The student who successfully completes the course is able to leverage the acquired knowledge, complemented by hands-on activities developed during the course, in order to recognize the characteristics of the basic components, both computing and networking ones, of an industrial control system.

Assessment criteria of skills

Verification of skills occurs through an in-depth discussion during the oral exam.

 

Assessment criteria of behaviors

Verification of behaviors occurs through an in-depth discussion during the oral exam.

Prerequisites

Basic knowledge of computer systems

Teaching methods

In classroom face-to-face lectures, with use of slides.

Course web platform used for sharing teaching material, and communication between the lecturer and the student.

Syllabus

Introduction to industrial communication systems. Industrial IoT: evolution and challenges.

Foundations of computer networks. Physical layer transmission; Link layer and local area networks. Ethernet LANs. Wireless networks: LANs, PANs. Internet architecture and protocols: IP and TCP/UDP protocols.

Today’s industrial networks: types of traffic, performance requirements. Fieldbus technologies, real-time Ethernet, industrial wireless networks. Industrial IoT: network interoperability: IPv6 over low power and lossy networks. Low-power Wide Area Networks.

Foundations of distributed computing and middleware services. Application layer protocols, data encoding & representation. Service Oriented Architectures, Web services. Cloud/edge computing principles and services. Industrial IoT: service and platform interoperability. Web of Things, protocols and (cloud-based) platforms.

Industrial Process Control System: Machine Level (PLC); Plant Level (DCS, SCADA); main components, configuration, architectures , dimensioning criteria. PLC programming basics; addressing, programming languages Ladder (LAD), Function Block Diagram (FBD), Graph. Introduction to CFC programming language; objects, faceplates.

Quality Control System: web scanner, sensors; operating principles. Machine Direction  (MD) controls and Cross-Machine direction (CD) controls.

The Cross-Industry Standard Process for Data Mining (CRISP-DM). Data selection and data preparation, categorisation, and prediction models. Supervised and unsupervised learning. Algorithms: the basic methods: Inferring rudimentary rules, Decision trees, Rule induction and association rules, Regression and clustering models, Neural networks.

Implementations: real machine learning schemes and prognostics applications. Verification and validation of models. Credibility. Enhancing the analysis: ensemble modelling.

Non-attending students info

Recorded lessons will be available through the MS Teams online platform.

Assessment methods

The exam is taken orally.

The student is asked to present a personal script related to Industrial Process Control Systems, which consists of:

1. an application of the tools learned in the course assigned by the teachers.

2. a technical study based on a state-of-art survey paper provided by the teachers.

The student is then asked to answer oral questions spanning the course contents to demonstrate his/her knowledge of the concepts developed.

Ultimo aggiornamento 23/09/2021 09:12