Introduction to Industry 4.0 and Industrial Internet of Things

NPTEL and Indian Institute of Technology, Kharagpur via YouTube

Overview

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COURSE OUTLINE: Industry 4.0 concerns the transformation of industrial processes through the integration of modern technologies such as sensors, communication, and computational processing. Technologies such as Cyber-Physical Systems (CPS), Internet of Things (IoT), Cloud Computing, Machine Learning, and Data Analytics are considered to be the different drivers necessary for the transformation. Industrial Internet of Things (IIoT) is an application of IoT in industries to modify the various existing industrial systems. IIoT links the automation system with enterprise, planning and product lifecycle.

Syllabus

Introduction to Industry 4 0 and Industrial Internet of Things.
Lecture 01 : Introduction : Sensing and Actuation.
Lecture 02 : Introduction : IoT Connectivity - Part I.
Lecture 03 : Introduction : IoT Connectivity - Part II.
Lecture 04 : Introduction : IoT Networking - Part I.
Lecture 05 : Introduction : IoT Networking - Part II.
Lecture 06 : Industry 4.0: The Fourth Revolution.
Lecture 07 : Industry 4.0: Sustainability Assessment of Manufacturing Industry.
Lecture 08 : Industry 4.0: Lean Production System.
Lecture 09 : Industry 4.0: Smart and Connected Business Perspective.
Lecture 10 : Industry 4.0: Smart Factories.
Lecture 11 : Industry 4.0: Cyber-Physical Systems and Next-Generation Sensors.
Lecture 12 : Industry 4.0: Collaboration Platform and Product Lifecycle Management.
Lecture 13 : Industry 4.0: Augmented Reality and Virtual Reality.
Lecture 14 : Industry 4.0: Artificial Intelligence.
Lecture 15 : Industry 4.0: Big Data and Advanced Analysis.
Lecture 16 : Industry 4.0: Cybersecurity.
Lecture 17 : Basics of Industrial IoT: Introduction.
Lecture 18 : Basics of Industrial IoT: Industrial Internet Systems.
Lecture 19 : Basics of IIoT: Industrial Sensing & Actuation.
Lecture 20 : Basics of Industrial IoT: Industrial Processes – Part 1.
Lecture 21 : Basics of Industrial IoT: Industrial Processes – Part 2.
Lecture 22 : Business Models and Reference Architecture for IIoT: Business Models – Part 1.
Lecture 23 : Business Models and Reference Architecture for IIoT: Business Models – Part 2.
Lecture 24 : Business Models and Reference Architecture for IIoT: Reference Architecture – Part 1.
Lecture 25 : Business Models and Reference Architecture for IIoT: Reference Architecture – Part 2.
Lecture 26 : Key Enablers of Industrial IoT: Sensing-Part 1.
Lecture 27 : Key Enablers of Industrial IoT: Sensing-Part 2.
Lecture 28 : Key Enablers of Industrial IoT: Connectivity-Part 1.
Lecture 29 : Key Enablers of Industrial IoT: Connectivity-Part 2.
Lecture 30 : Key Enablers of Industrial IoT: Connectivity-Part 3.
Lecture 31: Key Enablers of Industrial IoT: Connectivity – Part 4.
Lecture 32: Key Enablers of Industrial IoT: Connectivity – Part 5.
Lecture 33: Key Enablers of Industrial IoT: Processing – Part 1.
Lecture 34: Key Enablers of Industrial IoT: Processing – Part 2.
Lecture 35: Key Enablers of Industrial IoT: Process Control.
Lecture 36 : IIoT Analytics and Data Management: Introduction.
Lecture 37 : IIoT Analytics and Data Management: Machine Learning and Data Science – Part 1.
Lecture 38 : IIoT Analytics and Data Management: Machine Learning and Data Science – Part 2.
Lecture 39: IIoT Analytics and Data Management: Cloud Computing in IIoT – Part 1.
Lecture 40 : IIoT Analytics and Data Management: Cloud Computing in IIoT – Part 2.
Lecture 41 : Analytics and Data Management: Fog Computing in IIoT.
Lecture 42: IIoT Analytics and Data Management: Tutorial for R & Julia Programming.
Lecture 43 : IIoT Analytics and Data Management: Data Management with Hadoop.
Lecture 44 : IIoT Analytics and Data Management: Data Center Networks.
Lecture 45 : Advanced Technologies: Software-Defined Networking (SDN) in IIoT – Part 1.
Lecture 46 : Advanced Technologies: Software-Defined Networking (SDN) in IIoT – Part 2.
Lecture 47 : Advanced Technologies: Security in IIoT – Part 1.
Lecture 48 : Advanced Technologies: Security in IIoT – Part 2.
Lecture 49 : IIoT Applications: Factories and Assembly Line.
Lecture 50 : IIoT Applications: Food Industry.
Lecture 51 : IIoT Applications: Healthcare.
Lecture 52 : IIoT Applications: Power Plants.
Lecture 53 : IIoT Applications: Inventory Management & Quality Control.
Lecture 54 : IIoT Applications: Plant Security and Safety.
Lecture 55 : IIoT Applications: Facility Management.
Lecture 56 : IIoT Applications: Oil, Chemical and Pharmaceutical Industry.
Lecture 57 : IIoT Applications: UAVs in Industries.
Lecture 58 : Case Studies for Industry 4.0 & IIoT.
Lecture 59 : Milk Processing and Packaging Industries.
Lecture 60 : Manufacturing Industries - Part I.
Lecture 61 : Manufacturing Industries - Part II.
Lecture 62 : Student Projects - Part I.
Lecture 63 : Student Projects - Part II.
Lecture 64 : Virtual Reality Lab.
Lecture 65 : Steel Technology Lab.

Taught by

IIT Kharagpur July 2018

Reviews

4.0 rating, based on 3 Class Central reviews

Start your review of Introduction to Industry 4.0 and Industrial Internet of Things

Rabbani Basha

I recently completed the course "Introduction to Industry 4.0 and Industrial Internet of Things," and I must say it was an eye-opening experience. This course provides a comprehensive overview of the cutting-edge technologies and concepts that are r…

I recently completed the course "Introduction to Industry 4.0 and Industrial Internet of Things," and I must say it was an eye-opening experience. This course provides a comprehensive overview of the cutting-edge technologies and concepts that are reshaping the industrial landscape.

The course content is well-structured, starting with the basics of Industry 4.0 and gradually delving into the Industrial Internet of Things (IIoT). The instructors did an excellent job of breaking down complex topics into easily digestible modules, making it accessible for learners of all backgrounds.

One of the highlights of this course is the practical application of theory. The real-world examples and case studies provided invaluable insights into how Industry 4.0 and IIoT are transforming various industries, from manufacturing to healthcare. These examples made it clear that these technologies are not just theoretical concepts but are already revolutionizing the way businesses operate.

The course also covers the key technologies and components of Industry 4.0 and IIoT, including sensors, data analytics, and connectivity protocols. The hands-on labs and exercises allowed me to apply what I learned, which greatly enhanced my understanding of the subject matter.

Furthermore, the course keeps up-to-date with the latest trends and developments in the field. This is crucial in such a rapidly evolving domain, and it shows that the instructors are committed to delivering relevant content.

The instructors themselves were knowledgeable and engaging. They were always ready to answer questions and provide additional resources for further exploration.

In conclusion, "Introduction to Industry 4.0 and Industrial Internet of Things" is a must-take course for anyone interested in the future of industry. Whether you are a student, a professional, or a business owner, this course will equip you with the knowledge and insights needed to stay competitive in today's rapidly changing world. I highly recommend it to anyone looking to gain a solid understanding of Industry 4.0 and IIoT.
Nikhil Shintre

Covered various aspects of the topic - including the sensor to acquire data, networks to transfer the data and the storage / computation infrastructure.
Good introductory sessions to get started with the topic.
Philemon Kiprono

This was a very informative course and I have gained immensely. I would encourage anyone intending to be conversant with Industry 4.0 to enroll in this course. Also, I would encourage organizations to encourage their staff to enroll in the course too. Thanks