INTRODUCTION FOR INDUSTRY 4.0 : FUNDAMENTALS OF INTERNET OF THINGS

Internet of Things (IoT) is the network of physical devices such as vehicles, buildings and different items embedded with electronics, software, sensors, actuators, and connectivity enabling them to collect and exchange data. This network provides greater direct integration of the physical world into computer-based systems, resulting in increased efficiency, accuracy and financial benefit. In recent years, IoT is experiencing exponential growth, and expected to improve the intelligence of cities, promote the interaction between humans and the environment, and enhance reliability, resilience and efficiency, while reducing costs and resource consumption. Home automation plays a major role, but the IoT also provides opportunities for a wide range of industries, including manufacturing, building automation, automotive, transportation, healthcare, agriculture and more. IoT is the foundation of Industry 4.0 that not only provides the connectivity between devices and machines but also help in end-to-end eco-system working.

LEARNING OUTCOME

• In depth understanding of IoT system, architectures, components and supporting technologies
• Analyzing existing business processes to understand and build technical strategy to develop need aligned technical solutions.
• Understanding available technologies and selection criteria to define integrated solutions addressing scalability, interoperability and reliability.
• Translation of customer requirements into technical specifications and Developing proof of concepts and prototypes
• Understanding of the role of IoT in Industry 4.0 eco-system and how IoT integrated with cloud, big data & analytics, cybersecurity and blockchain technologies

COURSE CONTENT

• Module 1: Overview of Industry 4.0
  • Evolution of Industrial Revolution
  • 4^th Industrial Revolutions and its sectors
  • Industry 4.0 and its landscape
  • Industry 4.0 and its benefits
    • Improvement in operating efficiency
    • Improvement in asset management
    • Improvement in supply chain
    • Improvement in revenue
  • Industry 4.0 and its technological pillars
    • Internet of Things
    • Cloud
    • Big Data & Analytics
    • Artificial Intelligence (A.I.)
    • Cybersecurity
    • Robotics
    • Additive Manufacturing
    • Industrial Simulation
    • Augmented Reality
    • System Integration
    • Blockchain
    • Supply Chain

• Module 2: Introduction to Industrial Internet of Things (IIoT)
  • Internet of Things (IoT): Concepts & technologies
  • Evolution of IoT
  • Difference between IoT and IIoT
  • IoT as a Driver for business transformation
  • IoT Stack and Building blocks
  • IoT Reference Architectures
  • Global IoT Trends

• Module 3: IoT Communication Technologies & Protocols
  • IoT Pyramid
  • IoT Connectivity methods & technologies
  • Comparison of Communication technologies
  • IoT and M2M in Manufacturing
  • IoT and 5G
  • IoT and LPWAN: LoRAWAN and NB-IoT
  • IoT Protocols: MQTT  & CoAP

• Module 4: Industrial IoT Eco-system
  • IoT eco-system in Smart Manufacturing
  • IoT sensors, devices and machines
  • Expectations
  • IoT Use cases in Smart Manufacturing

• Module 5: IoT and Smart Factory 4.0
  • Components of Smart Factory 4.0
  • Recommended design and practices
  • Monitoring analysis
  • Predictive Maintenance

• Module 6: IoT and Cloud computing/DevOps
  • IoT and Edge Computing
  • Cloud Computing & DevOps
  • Types of Cloud
    • Location
    • Services
  • Cloud computing comparative analysis
  • Cloud computing & DevOps
  • IoT and Cloud technologies

• Module 7: IoT and Big Data & Analytics
  • Journey of Data from IoT towards analytics
  • Types of Data from IoT landscape
  • 5Vs of Big Data
  • Types of Analytics
  • Role of IoT in Real time analytics

• Module 8: IoT and Cybersecurity
  • Introduction of Industrial cybersecurity
  • Cryptography
  • Hashing and Digital Certificate
  • Types of threats in IoT Smart Manufacturing 4.0
  • End-to-end IoT cybersecurity landscape
  • Case Study of IoT cybersecurity threats and resolutions
  • Important recommendations

• Module 9: Comparative Analysis and International Case Study

• Module 10: Trends, Best Practices & Future Direction

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