IoT and Industrial Applications (AIIoT)

Program Description

In today's rapidly evolving landscape, organizations are embracing Digital Transformation alongside the growth of Industrial Automation. As automation directly impacts business returns, sectors such as Designing, Manufacturing, Assembling, and Logistics are transforming into Digital Industries. This course aims to equip learners with advanced data collection techniques essential for these industries. The comprehensive course on "IoT and Industrial Applications (AIIoT)" dives into the evolution of industrialization, from the Industrial Revolution to the Industrial Internet of Things (IIoT). It starts with a historical overview, core IIoT concepts, and examines IoT drivers, benefits, and challenges through real-world examples like Dam Water Level Monitoring and STP Monitoring.

Key topics include:

• Solar Plant Management

• Utility Monitoring in Railways

• IIoT Architecture Components

• Hands-on experiences with Annunciator Monitoring and Dairy Product Processing

• Sensor fundamentals, types, and selection criteria

Applications in sectors like Pharma, Electricity Distribution, and Energy Measurement are explored, along with practical demonstrations on Machine Status, Edge Computing, Gateway types, and configurations. The course covers IoT Connectivity, Wireless Protocols, and includes an IIoT example with a Wheel Loader. Real-world applications include Automotive Component Casting, Diesel Generator Monitoring, Aerospace Parts Manufacturing, and Bulk Milk Cooler Monitoring.

The course concludes with IIoT Security Concerns and a case study on an IoT Connected Workplace Solution.

Join us to gain practical insights and hands-on experience in IIoT and prepare yourself for the future of industrial automation.

Course Objectives

At the end of this course learners will be able to,

  • Understand the historical phases of industrial revolution and evolution of industrial processes.
  • Get an overview of Industrial IoT, covering drivers, benefits, challenges, and practical examples for deeper exploration.
  • Get insights into the intricate aspects of IoT applications, both fundamental and advanced topics.
  • Have a thorough comprehension of IIoT architecture components.
  • Gain a deep knowledge of sensor fundamentals, types, and selection criteria to enable effective implementation.
  • Understand the application of sensor technologies in industries like pharmaceuticals, electricity distribution, and manufacturing, enhancing industry-specific knowledge.
  • Get a comprehensive understanding of edge computing, spanning fundamental principles, types of gateways, and practical applications in various industries.
  • Gain practical knowledge and skills in selecting, configuring, and deploying IoT gateways, ensuring efficient data processing at the edge of the network.
  • Understand a framework of IIoT connectivity, covering wireless long-range protocols, sensor applications, and gateway integration.
  • Practicing skills in implementing IIoT security measures, focusing on device security, access control, and data protection in industrial settings.

Key Highlights

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The course explains IoT applications such that, the learner gains ability to design solutions for any complex real-world problems

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The relevant examples discussed in the course provides an investigation capability for the learners while developing IoT solutions

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The end-to-end framework of IoT Systems explained in the course enable confidence in the learner to contribute the IoT solutions

Course enrollment data

Learning Format

Online

Duration

5 units

Certified by

IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras and
L&T EduTech

Program Fee

Rs. 1900/- Inclusive of Tax

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Program Description

Education Qualification

Students pursuing Diploma / UG / PG Programs in Electrical & Electronics Engineering / Electronics and Communication Engineering

Suggested Prerequisites

Basic knowledge on Electronics Engineering

Teaching Hours

11

Lead Faculty

Dr. B Venkatalakshmi

Subject Matter Expert L&T EduTech.

A highly qualified academician and researcher with a Ph.D in Multisource Network Coding for MANETs and an ME in Optical Communication from College of Engineering Guindy, Anna University. Her research interests include pervasive computing, network coding, RFID, digital signal processing, information theory, mobile ad-hoc networks, industrial IoT, AI and edge computing and 5G. Dr Venkatalakshmi has a wide range of research skills, including Matlab, GIoMoSim, Qualnet, ADS, RFID API integration, Python, Weka and Power BI. With over 29 years of teaching and research experience, having served as a lecturer, professor, head of research and development department and vice principal at various educational institutions in Chennai, she has made significant contributions to academic planning and development, research planning and development and industry interactions and development. She has organised and developed the ME Mobile and Pervasive Computing syllabus and gained expertise in the domain of RFID and wireless sensor networks, training human resources in these areas. She has also established new research labs and published many research works in national and international journals.

Learning Schedule

• Historical journey of industrialization, exploring innovations and societal impacts across distinct phases. • Essentials of Industrial IoT concepts and their transformative role in industrial processes. • Possible drivers, benefits, and challenges influencing the widespread adoption of IoT across diverse industries. • Hands-on examples of IoT applications across industries, guided by an instructor for a practical learning experience

• Dynamics of solar plant management, covering crucial aspects of effective operation and maintenance. • Pivotal role of IIoT in enhancing utility monitoring within the railway sector. • Demonstration on panel boxes, providing practical insights into their role and functionality in industrial settings. • The intricacies of temperature monitoring systems, understanding their significance in various industrial applications. • The layers of IIoT architecture by participating in a comprehensive, multi-part series focusing on the various components that constitute its framework.

• Basics of sensors in an engaging learning series, covering fundamental principles and setting the groundwork for advanced sensor applications. • Various types of sensors and the criteria for selecting the right sensor for specific applications through comprehensive sessions and practical guidance. • Reinforcing fundamental sensor concepts and addressing key principles critical for sensor integration. • A spectrum of sensor technologies, including thermal, pressure, shear, photo, electrical, magnetic, and mechanical sensors along with Industry-specific applications of sensors

• The nuances of edge computing, covering key concepts and applications relevant to contemporary industrial settings. • The diverse types and features of gateways in industrial IoT landscapes. • Edge computing, emphasizing its significance in industrial scenarios, and gaining insights into real-world applications. • Selection, configuration, and analysis of IoT gateways, explore hands-on experience in optimizing these critical components for industrial settings.

• The diverse landscape of IIoT connectivity, examining wireless long-range protocols, real-world examples in a wheel loader, and the overall platform architecture. • IIoT security concerns, including device security, access management, and data protection in industrial applications. • On-off time measurement, showcasing the application of IIoT in monitoring and optimizing industrial processes. • Types of server architecture, data architecture, data ingestion, and stream processing in IIoT solutions.



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