School: Engineering

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Distributed Control Systems
  • Unit Code

    ENS5175
  • Year

    2024
  • Enrolment Period

    1
  • Version

    1
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
  • Unit Coordinator

    Dr Octavian BASS

Description

This unit extends the industrial automation concepts and skills introduced in ENS5240 Industrial Control and ENS5130 Advanced Industrial Control with modern solutions for distributed industrial automation systems aiming at portability, re-usability, interoperability, and reconfiguration of distributed applications. Students gain practical knowledge of the IEC 61499 Standard as a generic model for distributed systems, including processes and communication networks as an environment for embedded devices, resources and applications. A practical approach is used to provide students with the required skills and knowledge for Industry 4.0 and industrial IoT applications.

Prerequisite Rule

Students must pass ENS5240 or ENS3213

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply the principles of the IEC 61499 standard to the development of distributed control systems.
  2. Integrate the complete distributed control system engineering lifecycle, from creating a new distributed control solution to deploying single and multi-controller architectures and using the HMI to manage the control objects.
  3. Assess the core functionality of distributed control systems provided by motors and valves.
  4. Evaluate the health of rotating equipment using appropriate predictive analytics software tools to help identify anomalous behaviour.
  5. Work collaboratively to present and report on a distributed control system design project.

Unit Content

  1. Distributed control systems fundamentals: structures, architectures, applications.
  2. Distributed control systems modelling and design using IEC 61499: architecture (function block interface, function block internal sequence, distributed application), software tool requirements, rules for compliance.
  3. Introduction to EcoStruxure Automation Expert: basic function blocks, alarming, interlocks and permissives, motors and valves, managing the solution, devices and deployment.
  4. Predictive analytics in industrial automation: overview, algorithms, AI, software tools, introduction to AVEVA Predictive Analytics.
  5. Distributed control systems applications: Training Factory Industry 4.0 as a digitised smart factory.

Learning Experience

Students will attend on campus classes as well as engage in learning activities through ECU's LMS

JoondalupMount LawleySouth West (Bunbury)
Semester 113 x 2.5 hour labNot OfferedNot Offered
Semester 113 x 2 hour lectureNot OfferedNot Offered

For more information see the Semester Timetable

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.

ON CAMPUS
TypeDescriptionValue
Laboratory Work ^Laboratory sessions and tests50%
Project ^Design Project, with demonstration and report submission50%

^ Mandatory to Pass


Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Assessment

Students please note: The marks and grades received by students on assessments may be subject to further moderation. Informal vivas may be conducted as part of an assessment task, where staff require further information to confirm the learning outcomes have been met. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.

Academic Integrity

Integrity is a core value at Edith Cowan University, and it is expected that ECU students complete their assessment tasks honestly and with acknowledgement of other people's work as well as any generative artificial intelligence tools that may have been used. This means that assessment tasks must be completed individually (unless it is an authorised group assessment task) and any sources used must be referenced.

Breaches of academic integrity can include:

Plagiarism

Copying the words, ideas or creative works of other people or generative artificial intelligence tools, without referencing in accordance with stated University requirements. Students need to seek approval from the Unit Coordinator within the first week of study if they intend to use some of their previous work in an assessment task (self-plagiarism).

Unauthorised collaboration (collusion)

Working with other students and submitting the same or substantially similar work or portions of work when an individual submission was required. This includes students knowingly providing others with copies of their own work to use in the same or similar assessment task(s).

Contract cheating

Organising a friend, a family member, another student or an external person or organisation (e.g. through an online website) to complete or substantially edit or refine part or all of an assessment task(s) on their behalf.

Cheating in an exam

Using or having access to unauthorised materials in an exam or test.

Serious outcomes may be imposed if a student is found to have committed one of these breaches, up to and including expulsion from the University for repeated or serious acts.

ECU's policies and more information about academic integrity can be found on the student academic integrity website.

All commencing ECU students are required to complete the Academic Integrity Module.

Assessment Extension

In some circumstances, Students may apply to their Unit Coordinator to extend the due date of their Assessment Task(s) in accordance with ECU's Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000001386.

Special Consideration

Students may apply for Special Consideration in respect of a final unit grade, where their achievement was affected by Exceptional Circumstances as set out in the Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000003318.

ENS5175|1|1

School: Engineering

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Distributed Control Systems
  • Unit Code

    ENS5175
  • Year

    2024
  • Enrolment Period

    2
  • Version

    1
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
  • Unit Coordinator

    Dr Octavian BASS

Description

This unit extends the industrial automation concepts and skills introduced in ENS5240 Industrial Control and ENS5130 Advanced Industrial Control with modern solutions for distributed industrial automation systems aiming at portability, re-usability, interoperability, and reconfiguration of distributed applications. Students gain practical knowledge of the IEC 61499 Standard as a generic model for distributed systems, including processes and communication networks as an environment for embedded devices, resources and applications. A practical approach is used to provide students with the required skills and knowledge for Industry 4.0 and industrial IoT applications.

Prerequisite Rule

Students must pass ENS5240 or ENS3213

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply the principles of the IEC 61499 standard to the development of distributed control systems.
  2. Integrate the complete distributed control system engineering lifecycle, from creating a new distributed control solution to deploying single and multi-controller architectures and using the HMI to manage the control objects.
  3. Assess the core functionality of distributed control systems provided by motors and valves.
  4. Evaluate the health of rotating equipment using appropriate predictive analytics software tools to help identify anomalous behaviour.
  5. Work collaboratively to present and report on a distributed control system design project.

Unit Content

  1. Distributed control systems fundamentals: structures, architectures, applications.
  2. Distributed control systems modelling and design using IEC 61499: architecture (function block interface, function block internal sequence, distributed application), software tool requirements, rules for compliance.
  3. Introduction to EcoStruxure Automation Expert: basic function blocks, alarming, interlocks and permissives, motors and valves, managing the solution, devices and deployment.
  4. Predictive analytics in industrial automation: overview, algorithms, AI, software tools, introduction to AVEVA Predictive Analytics.
  5. Distributed control systems applications: Training Factory Industry 4.0 as a digitised smart factory.

Learning Experience

Students will attend on campus classes as well as engage in learning activities through ECU's LMS

JoondalupMount LawleySouth West (Bunbury)
Semester 113 x 2.5 hour labNot OfferedNot Offered
Semester 113 x 2 hour lectureNot OfferedNot Offered

For more information see the Semester Timetable

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.

ON CAMPUS
TypeDescriptionValue
Laboratory Work ^Laboratory sessions and tests50%
Project ^Design Project, with demonstration and report submission50%

^ Mandatory to Pass


Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Assessment

Students please note: The marks and grades received by students on assessments may be subject to further moderation. Informal vivas may be conducted as part of an assessment task, where staff require further information to confirm the learning outcomes have been met. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.

Academic Integrity

Integrity is a core value at Edith Cowan University, and it is expected that ECU students complete their assessment tasks honestly and with acknowledgement of other people's work as well as any generative artificial intelligence tools that may have been used. This means that assessment tasks must be completed individually (unless it is an authorised group assessment task) and any sources used must be referenced.

Breaches of academic integrity can include:

Plagiarism

Copying the words, ideas or creative works of other people or generative artificial intelligence tools, without referencing in accordance with stated University requirements. Students need to seek approval from the Unit Coordinator within the first week of study if they intend to use some of their previous work in an assessment task (self-plagiarism).

Unauthorised collaboration (collusion)

Working with other students and submitting the same or substantially similar work or portions of work when an individual submission was required. This includes students knowingly providing others with copies of their own work to use in the same or similar assessment task(s).

Contract cheating

Organising a friend, a family member, another student or an external person or organisation (e.g. through an online website) to complete or substantially edit or refine part or all of an assessment task(s) on their behalf.

Cheating in an exam

Using or having access to unauthorised materials in an exam or test.

Serious outcomes may be imposed if a student is found to have committed one of these breaches, up to and including expulsion from the University for repeated or serious acts.

ECU's policies and more information about academic integrity can be found on the student academic integrity website.

All commencing ECU students are required to complete the Academic Integrity Module.

Assessment Extension

In some circumstances, Students may apply to their Unit Coordinator to extend the due date of their Assessment Task(s) in accordance with ECU's Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000001386.

Special Consideration

Students may apply for Special Consideration in respect of a final unit grade, where their achievement was affected by Exceptional Circumstances as set out in the Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000003318.

ENS5175|1|2