By enabling real-time monitoring, predictive maintenance, and data-driven decision-making, Industrial Internet of Things (IIoT) enhances efficiency, productivity, and competitiveness across various industrial sectors. Additionally, IIoT facilitates the integration of advanced technologies such as sensing, connectivity, networking, and security, paving the way for smarter, more agile, and interconnected industrial systems.
In this module, you will have an in-depth exploration of IIoT, focusing on key aspects including sensing, connectivity, networking, security, and applications. The module covers the principles, technologies, and methodologies required to design, implement, and manage IIoT systems in industrial settings. Through a combination of theoretical lectures, practical workshops, case studies, and hands-on projects, students will gain the knowledge and skills necessary to deploy robust and secure IIoT solutions across various industrial domains.
40 (Lectures 18, Tutorial 6, Workshops 16)
Workshop reports worth 60%
Case-Study worth 40%
Reassessment: Single Instrument
100% written assessment (workshop reports)
On successfully completing the module, students will be able to:
Comprehensively and systematically understand concepts and components of Industrial IoT systems.
Integrate sensing technologies and their applications in industrial environments.
Analyse networking architectures and protocol performance relevant to IIoT.
Critically evaluate technic challenges and solutions specific to IIoT applications.
Apply IIoT techniques to systematically carry out case studies related to practical IIoT applications.
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