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Unit of study_
CHNG5603: Advanced Industrial Modelling and Analysis
The chemical manufacturing industry is currently witnessing the fourth industrial revolution, better known as Industry 4.0, where the 'real' and the 'virtual' world are connected, giving rise to smart factories. This unit of study prepares students for the digital transformation of chemical factories and the analysis of a large set of numbers from the machines and to turn them into a competitive advantage. The unit comprises three main components: (1) Manufacturing using smart systems (2) Industrial internet of things, and (3) processing big-data through sophisticated data-driven approaches. Various materials and techniques within the discipline of cyber-physical production systems are covered. For example, the industrial internet of things (IoT), communications, interfaces, machine learning, neural network, and deep learning. Students will also learn how to transfer real-time data from a unit operation to a system of software and hardware elements and understand the basics of security of open communications in order to ensure the safe operations of a smart factory.
| Code | CHNG5603 |
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| Academic unit | Chemical and Biomolecular Engineering |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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It is assumed that students have a general knowledge of mathematics typical of an undergraduate degree in chemical engineering, equivalent to MATH1021 AND MATH1023 AND (CHNG2802 OR MATH2XXX). This unit is for postgraduate students and also is offered as an elective for fourth year undergraduate students |
At the completion of this unit, you should be able to:
- LO1. Employ smart devices, technologies, and data acquisition systems to capture data from chemical engineering units
- LO2. Demonstrate the use of big data in smart factory applications
- LO3. Apply advanced analytical methods and modelling techniques to analyse real-time information from production processes
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