Course Title: Develop, enter and verify programs in Supervisory Control and Data Acquisition systems

Part B: Course Detail

Teaching Period: Term2 2013

Course Code: EEET6794C

Course Title: Develop, enter and verify programs in Supervisory Control and Data Acquisition systems

School: 130T Vocational Engineering

Campus: City Campus

Program: C6112 - Advanced Diploma of Engineering Technology - Electrical

Course Contact: Program Manager

Course Contact Phone: +61 3 9925 4468

Course Contact Email: tafe@rmit.edu.au


Name and Contact Details of All Other Relevant Staff

Luigi La Forgia
9 925 4864
luigi.laforgia@rmit.edu.au

Nominal Hours: 60

Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.

Pre-requisites and Co-requisites

EEET 6791C (UEENEED009B Develop, enter and verify programs for industrial control systems using high level instructions)

Course Description

This unit covers development, installation and testing of programs for supervisory control and data acquisition. It encompasses working safely, process analysis, developing process condition database, developing Human-Machine Interface (HMI), using dedicated SCADA software package and documenting programming activities.


National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

UEENEED008B Develop, enter and verify programs in Supervisory Control and Data Acquisition systems

Element:

1. Prepare to develop programs for Supervisory Control and Data Acquisition systems .

Performance Criteria:

1.1 OHS procedures for a given work area are identified, obtained and understood through established routines and procedures.
1.2 Established OHS risk control measures and procedures are followed in preparation for the work.
1.3 The extent of the SCADA system is determined from design brief and process specifications.
1.4 Process data are analysed for development of graphical design/mimic diagrams.
1.5 PLC analogue and digitised addresses are related to tag database.
1.6 Tag data types are configured in the database.
1.7 Graphic objects are created and added to a graphic library. (See Note 1)
1.8 Equipment, software and testing devices needed to carry out the work are obtained and checked for correct operation and safety.
 

Element:

2. Develop and enter programs using dedicated supervisory control and data acquisition software .

Performance Criteria:

2.1 Established OHS risk control measures and procedures for carrying out the work are followed.
2.2 SCADA software is used to develop human-machine interface (HMI) of processes.
2.3 Control functions, data acquisition components and automated tasks are programmed using SCADA software.
2.4 Complex data is manipulated within the SCADA software.
2.5 Alarms and limits for process variables are identified and programmed accordingly.
2.6 Trends for process variables and limits are programmed accordingly.
2.7 Methods for dealing with unexpected situations are selected on the basis of safety and specified work outcomes.
 

Element:

3. Monitor, verify and document programming activities .

Performance Criteria:

3.1 Device operation is tested in strict accordance OHS requirements and procedures.
3.2 Entered objects and settings are tested as meeting those specified in the design brief.
3.3 SCADA software tools are used to test and monitor programs and operating faults, anomalies are identified and rectified.
3.4 OHS work completion risk control measures and procedures are followed.
3.5 SCADA system specification and program are documented in accordance with established procedures.
3.6 Work completion is reported and appropriate personnel notified in accordance with established procedures.

 


Learning Outcomes



Details of Learning Activities

Students will participate in a varirty of teaching methods that include:

  • Lecture/Presentations
  • Self Paced Tutorials
  • Demonstrations
  • Instuctor Lead Hands-on Tutorials/Practice Drills


Teaching Schedule

 

Week of

study

Topic

Wk 1

• Introduction
• OHS Risk Control Measures
• Assessment Brief/Design Breif and Specifications 
• What is SCADA

Wk 2

• Create a new Project and Set-Up  Communications
• Create a Variable Tags Database
• PLC digital and analog adresses related to tag database • Process data analysed for deveping mimic pages
• Also Creating graphics Pages, and Compiling & Running a Project
• Create a graphic object and add to a library

Wk 3

• Using Objects and Common Object Properties
• Develop an HMI

Wk 4

• Using Objects and Common Object Properties
Assigment 1 Due

Wk 5• Using Objects and Common Object Properties
Wk 6• Commands & Controls
• Program control functions, data aquisition and automatic tasks
Wk 7

• Alarms
• Program identified limits for process variables

Wk 8• Trends
• Process Analyst
Wk 9Project 1 Due
Wk 10• Genies
• Super Genies
Wk 11• Genies
• Super Genies
Wk 12• Events
• Accumulators
Wk 13• Devices
• Reports
Wk 14• Security
Wk 15• Security
Wk 16Project 2 Due


Learning Resources

Prescribed Texts


References

http://www.citect.com/  


Other Resources

The Teacher will provide students with resources in class and/or on the student network drive and/or on Blackboard.


Overview of Assessment

This course may be assessed through a range of practical exercises, assignments and progressive tests.


Assessment Tasks

Assessment is conducted according to the Performance Criteria in the National Training Package. The students are required to undertake summative assessment that bring together knowledge and skills. To successfully complete this course you will be required to demonstrate competency in each assessment task detailed under Assessments Tasks.
Your assessment for this course will be marked as follows:
This course is graded using the following course grades-

CHD- Competent with High Distinction
CDI- Competent with Distinction
CC- Competent with Credit
CAG- Competency Achieved - Graded
NYC- Not Yet Competent
DNS- Did Not Submit for Assessment

Assessment Criteria
CHD Competent with High Distinction: Students should be able to complete the project given basically without help.The learner will demonstrate an exceptionally clear understanding of the subject matter and appreciation of the issues. Arguments will be well formed and sustained, and problem solving will be well thought out and structured.

CDI Competent with Distinction: Students should be able to complete the project with minimal help. The learner will demonstrate a detailed understanding of the key issues, but perhaps lacking in the finer points. The learner will demonstrate a clearly developed, relevant and well-structured approach while working on the practical exercises.

CC Competent with Credit: The learner will demonstrate a competent understanding of the subject but with minor gaps, and will demonstrate a well prepared and presented approach to problem solving.

CP Competent with Pass: The learner demonstrates some appreciation of the subject matter, but the work is generally lacking in depth and with gaps. Work at this level may be poorly presented and contain some minor errors.

NYC Not Yet Competent: The learner will show evidence of minimal or inadequate understanding of the subject matter.


Make sure you understand the special consideration policy available at -
http://www.rmit.edu.au/browse;ID=qkssnx1c5r0y (unresolved)

Assessment Tasks
There are 2 Project assessment tasks that encompass all requirements of this course for competence.
The project is progressively developed and demonstrated during assessment in 4 stages over the semester.
It is intended candidates will incorporate topics covered in class week by week as they develop their project.
All parts of the following that can demonstrated in the project work at each stage of assessment will be recorded and contribute towards the final assessment:
• Performance Criteria
• Critical Aspects of assessment
• Required Skills and Knowledge
• Range Statement
These are summarised below.

Critical aspects of evidence required to demonstrate competency in this unit
Collecting and analysing data accurately
Converting data to an appropriate database
Creating appropriate graphic object and adding them to a graphic object library.
Developing effective HMI.
Programming SCADA functions and data acquisition components correctly.
Manipulating complex data effectively
Correcting programming faults and anomalies

RANGE STATEMENT
The program shall include the following programming activities
Configuring tag type data
Creating at least five graphic objects
Adding graphic objects to the graphic library
Developing a HMI for a given system
Incorporating alarms and limits for process variables
Incorporating trends for process variables and limits

Further Skills & Knowledge to demonstrate
a) Mimics and animated graphics encompassing:
Graphic designs balance of layout
Assessment of data required to be entered in software package
b) Trending encompassing:
Analysis of process to select data, i.e., sampling of the process in terms of temperatures, time, weight, etc.
Viewing data and graphical representation of selected information
Trend graphs and data matching
c) Alarm logging encompassing:
Analysing select data, applying limits and specification applied to processes
Corrective action of alarm status
d) Data Collection and data basing encompassing:
Producing a data base of variables, and limit specifications involved in the process, i.e., individual items manufactures, or global manufactured products
e) Reports encompassing:
Types and layout of reports
Aims of the reports, i.e., customer, manager/s, or accountant reports. The report
may include information on statistical process control for quality assurance etc.
f) Implementation and applications encompassing:
Overview of implementation of SCADA systems i.e. summary of points required
for implementation 

Assignment 1 15%
Project 1 40%
Project 2 45%
 


Assessment Matrix

 Element

 Assessment 1

Project 1 Project 2 
 1  + +  +  
 2  + +  + 
 3 + + + 

Other Information

In this cluster, minimum student directed hours are 12 in addition to 48 scheduled teaching hours.
Student directed hours involve completing activities such as reading online resources, assignments, project work, and individual student-teacher course-related consultation.

Study and learning Support:

Study and Learning Centre (SLC) provides free learning and academic development advice to all RMIT students.
Services offered by SLC to support numeracy and literacy skills of the students are:

assignment writing, thesis writing and study skills advice
maths and science developmental support and advice
English language development

Please Refer http://www.rmit.edu.au/studyandlearningcentre to find more information about Study and learning Support

Disability Liaison Unit:

Students with disability or long-term medical condition should contact Disability Liaison Unit to seek advice and support to
complete their studies.

Please Refer http://www.rmit.edu.au/disability to find more information about services offered by Disability Liaison Unit

Late submission:

Students requiring extensions for 7 calendar days or less (from the original due date) must complete and lodge an Application
for Extension of Submittable Work (7 Calendar Days or less) form and lodge it with the Senior Educator/ Program Manager.
The application must be lodged no later than one working day before the official due date. The student will be notified within
no more than 2 working days of the date of lodgment as to whether the extension has been granted.

Students seeking an extension of more than 7 calendar days (from the original due date) must lodge an Application for Special
Consideration form under the provisions of the Special Consideration Policy, preferably prior to, but no later than 2 working days
after the official due date.

Assignments submitted late without approval of an extension will not be accepted or marked.


Special consideration:

Please Refer http://www.rmit.edu.au/browse;ID=riderwtscifm to find more information about special consideration

Plagiarism:

Plagiarism is a form of cheating and it is very serious academic offence that may lead to expulsion from the University.

Please Refer: www.rmit.edu.au/academicintegrity to find more information about plagiarism.

Email Communicatios:

All email communications will be sent to your RMIT email address and you must regularly check your RMIT emails.
 

Course Overview: Access Course Overview