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Course Detail

Course Name IoT and Digital Twin
Course Code 24MU613
Program M.Tech. Manufacturing and Automation​
Semester 2
Credits 3
Campus Coimbatore

Syllabus

Unit 1

Introduction: The various industrial revolutions, digitalization, and the networked economy, drivers, enablers, comparison of industry 4.0 factory and today’s factory, challenges. Communication Technologies of IIoT Communication Protocols: IEEE 802.15.4, ZigBee, Z Wave, Bluetooth, BLE, NFC, RFID, Industry standards communication technology (LoRA, WAN, OPC UA, MQTT), connecting into existing Modbus and Profibus technology, wireless network.

Unit 2

Visualization and Data Types of IIoT Communication. Front-end EDGE devices, Emerging descriptive data standards for IIoT, Cloud database, Could computing, Fog/Edge computing. Pushing data to the cloud. Grabbing the content from a web page, Sending data on the web, Troubleshooting. Application of IIOT Case study: Health monitoring, smart city, Smart irrigation, Robot surveillance.

Unit 3

Design of Digital Twins: Technological needs. Physics-based approach: Model identification, Model creation. Data- driven approach: Model development using ML/DL models. Digital twins for Prototype, Product, and Performance. Digital Twins validation. Control system requirements in a Discrete Industry, Digital Twins of a Product, Digital Thread in a Discrete Industry, Data Collection & Analysis for Product & production improvements, Automation Simulation, and Digital Enterprise. Process Industry: Basics of Process Industry, Trends in the process industry, control system requirements in a process industry, Digital Twins of a plant, Digital Thread in Process Industry.

Objectives and Outcomes

Course Objectives

  • To impart the basic knowledge on the drivers, enablers, and design principles of Industry 4.0.
  • To introduce digital twins concepts and their applications in the industry

 

Course Outcomes

CO

CO Description

CO1

Enumerate different communication technologies used in Industry 4.0.

CO2

Perform edge, and cloud computing and visualize the data

CO3

Introduce the concept of Digital Twins in manufacturing the industry

CO4

Design Digital Twins for discrete and process industries

 

CO-PO Mapping

 

PO1

PO2

PO3

PO4

PO5

PO6

CO1

3

1

2

3

 

 

CO2

3

1

2

3

 

 

CO3

3

1

2

3

 

1

CO4

3

1

2

3

1

1

 

Skills Acquired

Industry 4.0, IIOT implementation, development of digital twin for a given application.

Text Books / References

  1. Bruno Sergi, Elena G.Popkova, Aleksei V. Bogoviz and Tatiana N. Litvinova, “Understanding Industry 4.0: AI, The internet of things, and the future of work”, Emerald publishing limited, 2019.
  2. Alp Ustundag and Emre Cevikcan, “Industry 0: Managing the Digital Transformation“, Springer Series in Advanced Manufacturing., Switzerland, 2017.
  3. Andrew Yeh Chris Nee, Fei Tao, and Meng Zhang, “Digital Twin Driven Smart Manufacturing“, Elsevier Science., United States, 2019.
  4. Shyam Varan Nath, Pieter van Schalkwyk, Dan Isaacs, “Building Industrial Digital Twins Design, Develop, and Deploy Digital Twin Solutions for Real-world Industries Using Azure Digital Twins”, Packt Publishing, 2021.

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