Module Details

Module Code: PHYS8012
Title: Advanced Industrial Automation
Long Title: Advanced Industrial Automation
NFQ Level: Advanced
Valid From: Semester 1 - 2019/20 ( September 2019 )
Duration: 1 Semester
Credits: 5
Field of Study: 4411 - Physics
Module Delivered in: 3 programme(s)
Module Description: This module is an advanced course in process automation and deals with essential topics for today's automation engineers.The module has a heavy emphasis on practical lab based activity in programming and automation of processes using a range of software tools including SCADA and DeltaV. It also covers the use of robots in modern automation.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 develop the concept of MES (manufacturing execution systems) and CIM (computer integrated manufacturing)
LO2 evaluate the operation and applications of commonly used robotic systems used in automated processes
LO3 write programs and construct front panel mimic diagrams using DeltaV software to provide automated control for both Batch and Continuous processes
LO4 evaluate the applications of distributed control systems in process automation
LO5 Evaluate the application and operation of AMS applied to industrial automation
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
13469 PHYS7008 Industrial Automation & SCADA
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
No requirements listed
 
Indicative Content
Advanced Industrial Automation Theory and Applications
Overview of MES (Manufacturing Execution Systems) including computer integrated manufacturing (CIM) and computer integrated automation (CIA) and their integration into manufacturing execution systems. Asset management systems will also be studied as part of the module including case studies.
Robotics and their application in Industrial Automation
Overview of the applications of robotic systems in industrial automation. Various robot configurations, the coordinate systems in which they operate and kinematics of robot motion. Specifications such as accuracy, repeatability and load capability, and their importance in various applications. CAD/CAM and Robotics. Flexible control of batch processes.
Distributed Control Systems in automation
The theory and operation of DCS in large, medium and small automation applications. Specific case studies in relation to a wide range of applications. The current development of DCS and other automation systems in relation to PLC’s. PC vs. PLC for machine and process control.
Supervisory Control and Data Acquisition
The operation and use of a number of SCADA commercial packages. (including Siemens WinnCC and Wonderware InTouch) The application of SCADA in controlling and monitoring the control of both local and remote processes using standard communication protocols (e.g. Profibus and Foundation FieldBus) This material will include some of the more advanced aspects of PLC applications and their interaction and connectivity with modern commercial automation software. PLCs, in a distributed control system (DCS), and in a supervisory control and data acquisition (SCADA) system.
Automation Theory and Applications using DeltaV
The students will be presented with case studies of processes and the design and implementation of automation systems to suit given application scenarios. Foundation FieldBus device configuration, Profibus device configuration, using both simulation software and real controller operation. Worked examples to include configuration of I/O for some of the control modules that have been developed. Introduction to diagnostics, and alarms and events. Accessing alarm displays and alarm handling. S88-based module hierarchies – Control Modules, Equipment Modules and Phases, Historical trending, Overview of Batch , Sequential Control, Sequential Functions and SFC Chart Operation, Function Block Faceplates, Pop up menus and custom dynamos, Accessing real time and historical trending data, Profibus DP configuration. Introduction to the P.I.D. (Proportional, Integral and Derivative) capabilities of the software
Module Content & Assessment
Assessment Breakdown%
Coursework100.00%

Assessments

Coursework
Assessment Type Practical/Skills Evaluation % of Total Mark 25
Timing Week 7 Learning Outcomes 2,3
Assessment Description
Practical Skills Assessment
Assessment Type Practical/Skills Evaluation % of Total Mark 25
Timing Sem End Learning Outcomes 2,3
Assessment Description
Practical Skills Assessment
Assessment Type Short Answer Questions % of Total Mark 15
Timing Week 7 Learning Outcomes 1,4,5
Assessment Description
Written Assessment
Assessment Type Short Answer Questions % of Total Mark 15
Timing Week 13 Learning Outcomes 1,4,5
Assessment Description
Written Assessment
Assessment Type Practical/Skills Evaluation % of Total Mark 20
Timing Every Second Week Learning Outcomes 2,3
Assessment Description
Laboratory Practical Reports
No End of Module Formal Examination
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

The University reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Theory Delivery Every Week 1.00 1
Lab Contact Practical Program Every Week 3.00 3
Independent & Directed Learning (Non-contact) Non Contact Further study/ Development of Delivered Theory Every Week 3.00 3
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Theory Delivery Every Week 1.00 1
Lab Contact Practical Program Every Week 3.00 3
Independent & Directed Learning (Non-contact) Non Contact Further study/ Development of Delivered Theory Every Week 3.00 3
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
 
Module Resources
Recommended Book Resources
  • Mikell P. Groover. (2014), Automation, Production Systems, and Computer-Integrated Manufacturing, 4th. [ISBN: 978-013349961].
  • J. Craig. (2017), Introduction to Robotics: Mechanics and Control, 4th. [ISBN: 978-013348979].
  • Srinivas Medida. (2008), Pocket Guide on Industrial Automation, 1st. IDC Technologies.
  • Gerard Blokdyk. (2017), Manufacturing execution system: A Clear and Concise Reference, [ISBN: 978-197945552].
This module does not have any article/paper resources
Other Resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_SPHYS_8 Bachelor of Science (Honours) in Applied Physics and Instrumentation 2 Mandatory
CR_SINEN_8 Bachelor of Science (Honours) in Instrument Engineering 8 Mandatory
CR_SINAU_8 Certificate in Advanced Industrial Automation 2 Mandatory