Smart Systems - 5EU9SSY1

The course is divided is several parts not all followed by the students.

Part I Understanding of Big Data revolution (SEM+SGB+IEE students)
8h of lecture
4h of labs

S1: Introduction about data models, distribution models, data management as well as architecture.
S2: Ad-hoc distribution of data: principle, data schematic, top down approach, bottom up approach
S3: Ah-hoc data processing: distributed evaluation, metadata, distributed transactions
S4: Data sharding: systematic fragmentation, parallel processing, data flow and flow processing
Lab: Data sharding and Data flow

Part II: Understanding of SCADA systems (SEM+SGB+IEE students)
8h of lecture (Daniel Quenot, Thomas Ober, Lucille Lemius)
4h of labs (Lucille Lemius)

The lecture focuses on the analysis and the design of industrial control systems. The actual needs of engineers studying complex systems are tools to

organize system functions and information coming from system requirements while satisfying specific constraints of controlled systems (topology,

operating modes). ?Main requirements of controlled systems, such as hierarchical structuring, modelling of the operative part or distributing functions

into consistent sets, are pointed out.

Part III: Understanding of the standart 61850 (only for SGB and IEE students)
8h of lecture (L. Guise, M. Jardim)
8h of labs (A. Labonne, T. Braconnier)

S1: SG Interoperability: Smart grids – a new equation -> leading to new system requirements, Interoperability at information level
S2: IEC 61850 basics: Details on the main 3 elements of IEC 61850 and Data models basics - main CDCs
S3: IEC 61850 at requirement stage, let students discover by themselves modeling with the objective to provide a well formed SSD, transcribing a given

written requirement document (simple HV/MV substation)
Lab: IEC 61850 at field stage, Transfer the CIDs to selected IEDs (Sepam), and make a concrete case of usage of communication service

Part IV: Cybersecurity - Understanding the new challenges at the software and the hardware side (only for SGB and IEE students)
12h of lecture (S. Chollet, D. Helly)

Several lectures will present the challenges for both software development and hardware design to harden Smart Grids applications

Part V: IT project (only for SEM student)
projects: 36h of labs
(Amr Alyafi, Manar Amayari, Jérôme Ferrari, Tiansi Laranjeira, Lou Morriet, Stéphane Ploix

Smart Buildings are based on home automation to reduce their consumption and increase their services. In order to have a better understanding on industrial or new technologies and data analysis, the course is composed of:

Practical Exercises:
-2h : Discovery of a Programmable Logic Controller (KNX, reactor, IPX800) or building management system and how to control sensors and actuators
-2h: Discovery of Jeedom on a Raspberry Pi for home automation
-2h: Discovery of Lora protocol

Small Project:

• 8h: installation and analysis of a home automation solution in GreEn-ER with RaspberryPI + Jeedom + sensors

Engineering Consultancy:

• 12h: data science & machine learning application

Grade = 30% x CT + 70% x mean(Labs)

CT = written exam.

Labs might include:
LYNX_LAB: a lab on a real DMS on top of the SCADA LYNX system deployed by ATOS
SET tool : a lab with Mario Jardim with the 61850 standard that is packed in it to create the CIDs and other legacy files 61850 at field level
IT Project

CC 70% + CT 30%

The exam is given in english only

The course exists in the following branches:

• Curriculum - Master's Degree in Engineering SEM - Semester 9 (this course is given in english only )

Course ID : 5EU9SSY1
Course language(s):

You can find this course among all other courses.