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Course code: 000212
School of Engineering
Distributed Control Systems Overview
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Currently, this course is conducted only in an intracorporate format.
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What this course about?

This course will cover the practical applications of distributed control systems. Included is the relationship between programmable logic controllers and the DCS. Further included is the importance of Human Computer Interfaces (HMI) and advanced control strategies, which would not be possible without the application of a computer. Each delegate will receive a comprehensive course manual. The concept of field buses is introduced with some study of Foundation of assets management as a tool for proactive maintenance systems.

Who is this course for?
This course is intended for engineers and technicians requiring knowledge of automation and distributed control. A section on trouble shooting methods is also included. Personnel in operations will also find this an invaluable course.
What will you learn?
  • Demonstrate a solid understanding of the architecture and operation of Distributed control systems (DCS)
  • Design the overall DCS and process control system
  • Use better specification of the planned DCS
  • Improve process performance for the plant
  • Understand key ergonomic issues in design of operator displays
  • Apply advanced control strategies to a plant control system
  • More effective use of your existing DCS process control capabilities
  • Design and create a consistent and effective alarm philosophy for any installation
  • Recognise and deal with human problems when interfacing to alarm systems
Course outline
  • Interfacing of a Computer to a Control Loop
  • Computer Supervisory Control System
  • System Elements
  • Differences Between DCS, DDC and CSC Systems
  • Layout of a DCD System including communication paths
  • Date Communication
  • DCS Highway
  • Priority for System Devises
  • Polling Techniques
  • Error Checking Techniques
  • Basic Controller
  • Identifying Circuit Boards
  • Central Processing Unit (CPU)
  • Types of Memory Used
  • Control Modes Available within each controller slot
  • Tracking and Initialisation in Control slot used for Cascade Control
  • Past Mode Recall
  • Control Algorithms
  • Advanced Controllers
  • Digital Capabilities of Advanced Controllers
  • Sequential Programs for Batch Processing
  • Advanced Controller in Modulating Control Application
  • Logic Block Functions in the Advanced Controller
  • Basic and Advanced Controllers in a UAC System
  • Reverse Controller in UAC Systems
  • Data Paths in a UAC System
  • Prioritised Redundancy in DCS
  • Process Units
  • The Process unit as a data highway within a DCS
  • The Process of Analog, Digital and Counter Input Date
  • The Process Unit as an Output Device (Generation of analog and digital outputs)
  • The operator Interface
  • The Operators Process Window
  • Multiple Video Display Units
  • Operator Display Configurations
  • Keyboard Entry of data
  • Touch Screens
  • Limitations of a Data Highway Based DCS
  • Fieldbuses
  • Foundation Feildbus and Siemans Profibus
  • The Use of Local area Networks
  • Gateway Modules as a means of Communication
  • Other LAN based Modules
  • Distributed Control System Reporting
  • Multi-Screen displays, Cross Screen Invocation and Liking
  • Alarm Reporting, Types of Alarm Generated and Acceptance of Alarms
  • Reporting, Trending and Logging on a DCS System
  • DCS Configuration
  • System Date Files
  • Data Configuration/ DCS area Database
  • Multiple personalities attached to operators parameters
  • Security measures as attached to Operating Parameters
  • Box Level Control
  • Sequence Programs Linked to Control from Data Highway Box Level
  • Practical Examples of Level 2/3 Control
  • Maintenance Considerations
  • Maintenance Requirements of System and System Elements
  • Procedure for Checking Control Loop Calibration
  • IN-built Diagnostics and Maintenance Diagnostic Routines
  • Requirements for Installation of UPS System
Eni
Total
Eni
Endesa
Shell
Chevron
Gas Natural
Iberdrola
Eni
Inpex
Eni
Exonmobile

Training can take place in 4 formats:

  • Self-paced
  • Blended learning
  • Instructor-led online (webinar)
  • Instructor-led offline (classroom)

Description of training formats:

  • Self-paced learning or e-Learning means you can learn in your own time and control the amount of material to consume. There is no need to complete the assignments and take the courses at the same time as other learners.
  • Blended learning or "hybrid learning" means you can combine Self-paced learning or e-Learning with traditional instructor-led classroom or webinar activities. This approach requires physical presence of both teacher and student in physical or virtual (webinars) classrooms or workshops. Webinar is a seminar or presentation that takes place on the internet, allowing participants in different locations to see and hear the presenter, ask questions, and sometimes answer polls.
  • Instructor-led training, or ILT, means that the learning can be delivered in a lecture or classroom format, as an interactive workshop, as a demonstration under the supervision and control of qualified trainer or instructor with the opportunity for learners to practice, or even virtually, using video-conferencing tools.

When forming groups of students, special attention is paid to important criteria - the same level of knowledge and interests among all students of the course, in order to maintain stable group dynamics during training.

Group dynamics is the development of a group in time, which is caused by the interaction of participants with each other and external influence on the group. In other words, these are the stages that the training group goes through in the process of communicating with the coach and among themselves.

The optimal group size for different types of training:

  • Self-paced / E-learning: 1
  • Instructor-led off-line (classroom): 6 – 12
  • Instructor-led on-line (webinar): 6 – 12
  • Blended learning: 6 – 12
  • Workshop: 6 – 12
  • On-the-job: 2 – 4
  • Simulator: 1 – 2

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During the training, you may encounter various forms of testing and knowledge testing. The most common assessment methods are:

  • preliminary (base-line assessment) - to determine the current level of knowledge and adapt the personal curriculum
  • intermediate - to check the progress of learning
  • final - to complete training and final assessment of knowledge and skills, can be in the form of a project, testing or practical exam

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  • A significant portion of the course has been consumed or downloaded by a student before the refund was requested.
  • Multiple refunds have been requested by a student for the same course.
  • Excessive refunds have been requested by a student.
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Smart Virtual Classroom (open digital / virtual classroom).

Conducting classes is based on the fact that the teacher demonstrates text, drawings, graphics, presentations on an interactive board, while the content appears in the student's electronic notebook. A specially designed digital notepad and pen are used to create and edit text and images that can be redirected to any surface via a projector.

Classes are live streamed online, automatically recorded and published on the Learning Portal, allowing you to save them for reuse anytime, anywhere, on any mobile device. This makes it possible not to miss classes and keep up with classes and keep up with the passage of new material.

Game Based Learning (learning using a virtual game environment)

Real-life training uses the principles of game organization, which allows future professionals to rehearse and hone their skills in a virtual emergency. Learning as a game provides an opportunity to establish a connection between the learning activity and real life.

The technology provides the following learning opportunities:

  • Focused on the needs of the user
  • Instant feedback
  • Independent decision making and choice of actions
  • Better assimilation and memorization of the material
  • Adaptive pace of learning tailored to the individual needs of the student
  • Better transfer of skills learned in a learning situation to real conditions

Basic principles of training:

  • A gradual increase in the level of difficulty in the game;
  • Using a simplified version of a problem situation;
  • Action in a variable gaming environment;
  • The right choice is made through experimentation.

The main advantages of Game Based Learning technology:

  • Low degree of physical risk and liability
  • Motivation to learn while receiving positive emotions from the process;
  • Practice - mirroring the real situation
  • Timely feedback
  • Choice of different playing roles
  • Learning in collaboration
  • Developing your own behavior strategy
Laboratory workshops using remote access technologies

Conducting practical classes online using remote access technologies for presentations, multimedia solutions and virtual reality:

  • Laboratory workshops that simulate the operation of expensive bench equipment in real production
  • Virtual experiment, which is visually indistinguishable from a remote real experiment performed
  • Virtual instruments, which are an exact copy of real instruments
  • Mathematical modeling to clarify the physical characteristics, chemical content of the investigated object or phenomenon.
Distributed Control Systems Overview
Language: English, Russian
Level: Intermediate
mail@tecedu.org
+7 747 898 5041
+7 7182 901 933