Platforms of Industry 4.0
Duration
- One Semester or equivalent
Contact hours
- 36 hours Face to Face + blended
On-campus unit delivery combines face-to-face and digital learning.
2023 teaching periods
Hawthorn Higher Ed. Semester 2 |
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Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Aims and objectives
This unit aims to introduce student to the enabling technologies of Industry 4.0, particularly those associated with manufacturing and production. The unit introduces technologies used in cyber-physical systems, digital twinning, digitisation and sensing.
Unit Learning Outcomes (ULO)
On successful completion of this unit students will be able to:
1. Understand the operation of common IT communication protocols (K3)
2. Understand the concept of a cyber-physical system and the concept of a digital twin (K3)
3. Create digital twins by incorporating modern sensing capability in cyber-physical systems (S1, S2, S3)
4. Create the architecture of flexible design systems that can incorporate future system designs (A3, S3)
Swinburne Engineering Competencies (A1-7, K1-6, S1-4): find out more about Engineering Skills and Competencies including the Engineers Australia Stage 1 Competencies.
Unit information in detail
- Teaching methods, assessment and content.
Teaching methods
Hawthorn
Type | Hours per week | Number of Weeks | Total |
On Campus Lecture | 2 | 12 | 24 |
On Campus Comp Labs | 1 | 12 | 12 |
Unspecified Activities Independent Learning | 9.5 | 12 | 114 |
TOTAL | 150 hours |
Assessment
Types | Individual/Group Role | Weighting | Unit Learning Outcomes (ULOs) |
Assignment 1 | Individual | 20% | 1,2 |
Assignment 2 | Individual/Group | 40% | 3 |
Assignment 3 | Individual/Group | 40% | 4 |
Content
- Introduction to cyber-physical systems
- Machine to machine communication and protocols (OPC/UA)
- Production Automation OT and IT architecture (ISA-95, RAMI4.0 and OSI models)
- Cloud based IIoT operating system ( Mindsphere)
- Industrial networking and Data Communications
- virtual commissioning and optimisation using digital twin
- Sensor principles, architectures, and integration with cyber-physical systems
- Service oriented architecture for future system design
- Design smart, adaptive and flexible manufacturing systems
Study resources
- Reading materials.
Reading materials
A list of reading materials and/or required texts will be made available in the Unit Outline.