Overview
This programme provides an introduction to the Industrial Internet of Things (IIoT) and smart sensor technologies used to enhance process control, maintenance, and data-driven decision-making. It explores connectivity, integration, and practical applications in modern industry.
Aims and Objectives
To provide learners with a clear understanding of IIoT principles, architecture, and implementation strategies for improving efficiency, safety, and predictive maintenance in industrial environments.
Course Content
Fundamentals of IIoT and smart manufacturing
Sensor types, data acquisition, and connectivity
Communication protocols (MQTT, OPC UA, Modbus)
Cloud and edge computing in industrial systems
Data visualisation and analytics applications
Cybersecurity considerations for connected systems
Case studies in IIoT adoption and optimisation
Learning Outcomes
On completion of this course, learners will be able to:
- Explain the principles and benefits of Industrial IoT systems
- Identify and apply smart sensor technologies for data collection
- Describe how connected systems improve efficiency and reliability
- Demonstrate awareness of data and cybersecurity considerations
