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Ecole nationale supérieure de l'Énergie, l'Eau et l'Environnement
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Engineering school in energy, water and environment
Our engineering & master degrees
Our engineering & master degrees

> Studies > E3-STU-COURSES

New informatic technologies for energetic systems - 5EUS5NTI

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  • Number of hours

    • Lectures : 26.0
    • Tutorials : ?
    • Laboratory works : 34.0
    • Projects : ?
    • Internship : ?
    ECTS : 5.0

Goals

Acquire the tools and technologies for monitoring the control of industrial systems control and electrical distribution networks as well as an introduction to application using databases: historical oversight, pricing, etc.

Contact Stephane MOCANU

Content

supervision
• Introduction to Automated Systems and Command Control
• Principle of action chains and acquiring information
• characterization of the problem of observability and the notion of doubt
• Presentation of the different architectures autonomous control systems
• Observability, Controllability, Reliability and Realism
• Complexity: Towards a hierarchy of command, the CIM
• Generic operating principle of such a model
• characterization of the notion of randomness operating
• Overview of different approaches to monitoring, integrated approaches to the separate approaches
• Implemented the theoretical model of CIM: old to new architectures, what about the major advantages and disadvantages
• SCADA systems, operating principles,

  • Architecture SCADA
  • Principle of Structuring Database
    • The different architectures SCADAS, pros and cons
    Real-time networks
    • Industrial Control Systems
    • Definitions
    • Networks versus current loop
    • Examples
    • Real-Time Embedded
    • Networking
    • Specific physical and MAC layers
    • AS-i / CAN
    • The Fieldbus
    • History and standards
    • MMS
    • FIP / Profibus / Modbus
    • Battery Schneider: FIPIO / XWAY / UNI-TE
    • Communications in Power Grids
    • Introduction
    • Protocols 60870 / DNP3 / 61850
    • Communication Supervision OPC
    Databases
    • Introduction and Definition
    • Data Modeling to create a consistent database and quality
    - mcd
    - mld
    • Master the query languages ??Database
    - SQL
    • Security
    - Different access rights to a database
    - Filtering necessary in a 3-tier architecture
    • Application to automatism
    - Recording of data produced by a production line in a SQL database
    • Data Processing
    - Learn to use the data stored in the database
    - Ability to display this data on the web (html / php / css) for supervision, statistical data ...


Prerequisites

none

Tests

DS 1 h, CC en T.P.



CC 40% + CT 60%

Additional Information

Curriculum->Master's Degree in Engineering ASI->Semester 9
Curriculum->Master's Degree in Engineering GEE->Semester 9

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Date of update February 8, 2017

Grenoble INP Institut d'ingénierie Univ. Grenoble Alpes