Unit Name

SCADA AND DISTRIBUTED CONTROL SYSTEMS

Unit Code

ME602

Unit Duration

12 weeks

Award

Master of Engineering (Industrial Automation) Duration: 2 years

Year Level

Two

Unit Creator/Reviewer

Dr. Steve Mackay

Core/Elective

Core

Pre/Co-requisites

ME502 Programmable Logic Controllers ME503 Industrial Process Control Systems

Credit Points

3

Masters total course credit points = 48

(3 credits x 12 (units) + 12 credits (Thesis))

Mode of Delivery

On-Campus or Online

Unit Workload

10 hours per week: Lecture - 1 hour

Tutorial Lecture - 1 hours

Practical / Lab - 1 hour (where applicable)

Personal Study recommended - 7 hours (guided and unguided)

Unit Description and General Aims

This system based subject moves quickly from the fundamentals to advanced concepts and technologies used in contemporary SCADA systems and DCSs. There is some perceived overlap between SCADA systems and DCSs and this treatment will examine this issue in considerable depth allowing the practitioner to proficiently apply his/her knowledge to a project in deciding on the best approach to follow. The subject covers SCADA systems hardware and software, a review of typical DCS and SCADA systems, examines DCS controllers and configuration. It then moves onto the quickly changing topic of industrial communications systems. Structured programming based around the 61131-3 standard is then examined in depth. Topics cover alarm system management, configuration, reporting, and maintenance. The final part of the course comprises the examination of the implementation of a complete system.

Students will undertake case studies of SCADA and DCS projects and operations.

Learning Outcomes

On successful completion of this subject/unit, students are expected to be able to:

  1. Evaluate and specify SCADA systems and associated interfaces based on types of process supervision and data acquisition to be achieved.

    Bloom’s Level 6

  2. Evaluate and specify DCSs to ensure efficient and optimum operation of plant.

    Bloom’s Level 6

  3. Develop process control functions and algorithms for SCADA / DCS applications to meet plant’s supervisory control needs.

    Bloom’s Level 5

  4. Compare and contrast DCS and SCADA systems for optimal application in a given context.

    Bloom’s Level 6

  5. Evaluate data communication needs for processes using SCADA / DCS systems connected over multi level hierarchies through network.

    Bloom’s Level 6

  6. Plan and manage selection, design, installation, configuration and programming by teams of technologists and engineers for supervisory needs including alarm management functions for operation and control of process plants.

    Bloom’s Level 5

    Bloom’s Taxonomy

    The cognitive domain levels of Bloom’s Taxonomy:

    Bloom’s Level

    Bloom’s Category

    Description

    1

    Knowledge

    Recall, define and list facts, concepts, methods, terminologies, theories and structures.

    2

    Comprehension

    Demonstrate understanding by comparing, organizing, describing, translating, interpreting, paraphrasing, explaining and distinguishing.

    3

    Application

    Use knowledge to solve problems, identify connections and show relationships, in context.

    4

    Analysis

    Examine information, breakdown a problem, determine relationships and causes, make inferences, classify and infer from evidence.

    5

    Synthesis

    Produce a pattern from relationships, propose operations, formulate a design, compose a hypothesis, reassemble information, construct, plan, invent, predict

       

    and create.

    6

    Evaluation

    Make judgements based on evidence and external criteria, determine best practice, optimise, validate ideas, judge and critique, assess, valuate and

    make recommendations.

    Engineers Australia

    The Australian Engineering Stage 1 Competency Standards for the Professional Engineer, approved as of 2013. This table is referenced in the mapping of graduate attributes to learning outcomes and via the learning outcomes to student assessment.

    Stage 1 Competencies and Elements of Competency

    1.

    Knowledge and Skill Base

    1.1

    Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.

    1.2

    Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.

    1.3

    In-depth understanding of specialist bodies of knowledge within the engineering discipline.

    1.4

    Discernment of knowledge development and research directions within the engineering discipline.

    1.5

    Knowledge of engineering design practice and contextual factors impacting the engineering discipline.

    1.6

    Understanding of the scope, principles, norms, accountabilities and bounds of sustainable engineering practice in the specific discipline.

    2.

    Engineering Application Ability

    2.1

    Application of established engineering methods to complex engineering problem solving.

    2.2

    Fluent application of engineering techniques, tools and resources.

    2.3

    Application of systematic engineering synthesis and design processes.

    2.4

    Application of systematic approaches to the conduct and management of engineering projects.

    3.

    Professional and Personal Attributes

    3.1

    Ethical conduct and professional accountability.

    3.2

    Effective oral and written communication in professional and lay domains.

    3.3

    Creative, innovative and pro-active demeanour.

    3.4

    Professional use and management of information.

    3.5

    Orderly management of self, and professional conduct.

    3.6

    Effective team membership and team leadership.

    Graduate Attributes

    Successfully completing this Unit will contribute to the recognition of attainment of the following graduate attributes aligned to the AQF Level 9 criteria, Engineers Australia Stage 1 Competency Standards for the Professional Engineer and the Washington Accord and the Program Level Outcomes (PLO):

    Graduate Attributes / Program Level Outcomes (Knowledge, Skills, Abilities, Professional and Personal Development)

    EA Stage 1 Competencies

    Learning Outcomes

    A. Effective Communication (PLO 1)

    A1. Cognitive and technical skills to investigate, analyse and organise information and ideas and to communicate those ideas clearly and fluently, in both written and spoken forms appropriate to the audience.

    2.2, 3.2

    6

    A2. Ability to professionally manage oneself, teams, information and projects and engage effectively and appropriately across a diverse range of international cultures in leadership, team and individual roles.

    2.4, 3.2, 3.4,

    3.5, 3.6

    6

    B. Critical Judgement (PLO 2)

    B1. Ability to critically analyse and evaluate complex information and theoretical concepts.

    1.1, 1.2, 1.3,

    2.1

    1, 2, 4, 5

    B2. Ability to creatively, proactively and innovatively apply theoretical concepts, knowledge and approaches with a high level of accountability, in an engineering context.

    1.5, 2.1, 3.3,

    3.4

    1, 2, 5, 6

    C. Design and Problem Solving Skills (PLO 3)

    C1. Cognitive skills to synthesise, evaluate and use information from a broad range of sources to effectively identify, formulate and solve engineering problems.

    1.5, 2.1, 2.3

    1, 2, 5

    C2. Technical and communication skills to design complex systems and solutions in line with developments in engineering professional practice.

    2.2, 2.3

    6

    C3. Comprehension of the role of technology in society and identified issues in applying engineering technology ethics and impacts; economic; social; environmental and sustainability.

    1.5, 1.6, 3.1

    2, 6

    D. Science and Engineering Fundamentals (PLO 4)

    D1. Breadth and depth of mathematics, science, computer technology and specialist engineering knowledge and understanding of future developments.

    1.1, 1.2, 1.3,

    1.4

    1, 4

    D2. Knowledge of ethical standards in relation to professional engineering practice and research.

    1.6, 3.1, 3.5

    6

    D3. Knowledge of international perspectives in engineering and ability to apply various national and International Standards.

    1.5, 1.6, 2.4,

    3.4

    3

    E. Information and Research Skills (PLO 5)

    E1. Application of advanced research and planning skills to engineering projects.

    1.4, 2.4, 3.6

    6

    E2. Knowledge of research principles and methods in an engineering context.

    1.4, 1.6

    6

    Unit Content and Learning Outcomes to Program Level Outcomes (PLO) via Bloom’s Taxonomy Level

    This table details the mapping of the unit content and unit learning outcomes to the PLOs and graduate attributes at the corresponding Bloom’s Taxonomy level, specified by the number in the table.

     

    Integrated Specification /

    Program Learning Outcomes

    PLO 1

    PLO 2

    PLO 3

    PLO 4

    PLO 5

    Unit Learning Outcomes

    LO1

    -

    6

    6

    6

    -

    LO2

    -

    6

    6

    -

    -

    LO3

    -

    -

    -

    5

    -

    LO4

    -

    6

    -

    6

    -

    LO5

    -

    6

    6

    -

    -

    LO6

    5

    5

    5

    5

    5

    Unit Study

    Assessments

    5

    6

    6

    6

    5

    Lectures/Tutorials

    5

    6

    6

    6

    5

     

    Max Bloom’s level

    5

    6

    6

    6

    5

    Total PLO coverage

    3

    7

    6

    6

    3

    Student assessment

    Assessment Type

    (e.g. Assignment - 2000 word essay (specify topic) Examination (specify length and format))

    When assessed (e.g. Week 5)

    Weighting (% of total unit marks)

    Learning Outcomes Assessed

    Assignment 1 (Quiz)

    Type: Multi-choice test / Group work / Short answer questions / Role Play / Self-Assessment / Presentation

    Example Topic: on “Specification of DCS and SCADA systems for a specific application” (defined by the lecturer).

    Week 4

    20%

    1,2,3

    Assignment 2 - Project Midterm.

    Type: Report / Research / Paper / Case Study / Site Visit / Problem analysis / Project / Professional recommendation

    (Typical report 2,500 words maximum, excluding references. This Project will include a progress report; literature review, hypothesis, schedule, challenges and future work)

    Example Topic: on “Specification of the overall architecture for a DCS or SCADA system for a specific application as defined by the lecturer.”

    Week 8

    25%

    2,3

    Assignment 3 - Final Project

    Type: Report (Final Project)

    (Typical thesis 5,000 words, excluding references, figures and tables) Continuing the mid-term initial submission.

    Final Week

    35%

    2,3,5,7

    Practical Participation

    Example: May be in the form of quizzes, class tests, practical assessments, remote labs, simulation software or case studies

    Continuous

    15%

    4,5,6

    Attendance / Tutorial Participation

    Example: Presentation, discussion, group work, exercises, self-assessment/reflection, case study analysis, application.

    Continuous

    5%

    1-7

    Prescribed and recommended readings

    Required textbook

    • Boyer, S.A. (2010) SCADA: Supervisory Control and Data Acquisition. 4th Edition. International Society for Automation, Raleigh, USA.

    • Sharma, K. (2011) Overview of Industrial Process Automation. Elsevier, Oxford, UK.

    Reference Materials

    Number of peer-reviewed journals and websites (advised during lectures). Some examples are listed below.

    1. IEEE Transactions on Automatic Control

    2. IEEE Transactions on Automation Science and Engineering

    3. IEEE Transactions on Instrumentation and Measurement

    4. IEEE Instrumentation and Measurement Magazine

    5. Automation World Magazine

    6. Manufacturing Automation Magazine

    7. Managing Automation

    8. Examples include but not limited to: www.isa.org;

    9. IDC notes and Reference texts as advised.

    10. Other material advised during the lectures

Unit Content:

One topic is delivered per contact week, with the exception of part-time 24-week units, where one topic is delivered every two weeks.

Topic 1

SCADA systems hardware

  1. Considerations and benefits of SCADA systems

  2. Remote Terminal Units

  3. Input and output modules

  4. PLCs as RTUs

  5. System reliability and availability

Topic 2

SCADA systems software and protocol

  1. SCADA system software

  2. SCADA system protocols

  3. New technologies in SCADA systems

  4. The twelve golden rules

  5. OPC integration

Topic 3

Typical DCS and SCADA Systems

  1. Honeywell PlantScape

  2. Foxboro I/A series DCSs

  3. Delta V system

  4. Citect

  5. Wonderware

  6. Intellution iFIX

  7. Comparison of vendors

Topic 4

Basic DCS controllers and their configuration

  1. Identification of the controller boards

  2. Discrete, logic, sequential and batch control

  3. Control modes

  4. Tracking and initialization in control slots used for cascade control

  5. Control functions and control algorithms

  6. Sequential programs for batch processing

  7. Phase logic programming and interfaces

  8. Logic block functions in advanced controllers

  9. DCS controller configuration

Topic 5

Communication for DCS and SCADA systems

  1. Topologies

  2. Ethernet

  3. Network interconnection components (including Industrial Firewalls)

  4. TCP/IP

  5. SCADA, DCSs and the Internet with remote engineering

  6. ProfiBus and ProfiNet

  7. Foundation FieldBus

Topic 6

Programming of DCS and SCADA systems

  1. IEC-1131-3 language definition

  2. Functions and function blocks

  3. Data types, variables, functions, programs

  4. Structured text and statements

  5. Function block diagram and execution control

  6. Ladder diagrams, instruction list and sequential function chart

Topic 7

Alarm system management

  1. Functions of an alarm system

  2. Structure of a good alarm system

  3. Strategy for alarm system design and maintenance

  4. Measurement, generation, and processing of alarms

  5. Alarm displays

  6. Testing of alarms

Topic 8

Configuration and reporting (for both DCS and SCADA)

  1. System database

  2. Configuration of control functions, operator/monitoring functions

  3. Configuration of system hardware and software

  4. Documentation

  5. Commissioning

  6. Alarm reporting, generation and acceptance

Topic 9

Maintenance

  1. Maintenance requirements of system and system elements

  2. Requirements for in-built diagnostic and maintenance routines

  3. Requirement for installation of UPS system

  4. Recovery of following power outage

Topic 10

Implementation of a Complete System

  1. System strategy

  2. Automation plan

  3. Project implementation

  4. Installation and commissioning

  5. Change management

Topic 11

Applications

  1. Introduction

  2. SCADA systems in Mining

  3. SCADA systems in Transport

  4. DCSs in pulp and paper environment

  5. DCSs in petroleum-refining environment

  6. DCSs in oil and gas processing environment

  7. Industrial Network Security Application

Topic 12

Project and/or Unit Review

In the final week students will have an opportunity to review the contents covered so far. Opportunity will be provided for a review of student work, to clarify any outstanding issues, and to work on finalising the major assessment report.

The Engineering Institute of Technology (EIT) is dedicated to ensuring our students receive a world-class education and gain skills they can immediately implement in the workplace upon graduation. Our staff members uphold our ethos of honesty and integrity, and we stand by our word because it is our bond. Our students are also expected to carry this attitude throughout their time at our institute, and into their careers.