Program Overview
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 program aims to equip learners with advanced data collection techniques essential for these industries. The comprehensive program on "IIoT - Architecture Framework and Applications" 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 program 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 program 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.
Program Objectives
Industrial Evolution
Understand the historical phases of industrial revolution and evolution of industrial processes.
Industrial IoT Overview
Get an overview of Industrial IoT, covering drivers, benefits, challenges, and practical examples for deeper exploration.
IoT Applications
Get insights into the intricate aspects of IoT applications, both fundamental and advanced topics.
IIoT Architecture
Have a thorough comprehension of IIoT architecture components.
Sensor Fundamentals
Gain a deep knowledge of sensor fundamentals, types, and selection criteria to enable effective implementation.
Sensor Applications
Understand the application of sensor technologies in industries like pharmaceuticals, electricity distribution, and manufacturing, enhancing industry-specific knowledge.
Edge Computing
Get a comprehensive understanding of edge computing, spanning fundamental principles, types of gateways, and practical applications in various industries.
IoT Gateway Deployment
Gain practical knowledge and skills in selecting, configuring, and deploying IoT gateways, ensuring efficient data processing at the edge of the network.
IIoT Connectivity
Understand a framework of IIoT connectivity, covering wireless long-range protocols, sensor applications, and gateway integration.
IIoT Security
Practicing skills in implementing IIoT security measures, focusing on device security, access control, and data protection in industrial settings.
Key Highlights
The program explains IoT applications such that, the learner gains ability to design solutions for any complex real-world problems
The relevant examples discussed in the program provides an investigation capability for the learners while developing IoT solutions
The end-to-end framework of IoT Systems explained in the program enable confidence in the learner to contribute the IoT solutions
Instructor
Dr. B Venkatalakshmi
Subject Matter Expert – L&T EduTech
Dr. Venkatalakshmi is a seasoned researcher and technology expert with deep expertise in multisource network coding, mobile ad-hoc networks (MANETs), and optical communication. She holds a Ph.D. in Multisource Network Coding for MANETs and an ME in Optical Communication from the College of Engineering, Guindy, Anna University.
Her research spans pervasive computing, industrial IoT, AI and edge computing, RFID systems, 5G networks, mobile networking, digital signal processing, and information theory. She brings strong technical proficiency in tools such as Matlab, GloMoSim, Qualnet, ADS, Python, Power BI, Weka, and RFID API integrations.
With over three decades of experience in applied research and industry-academic collaboration, she has led initiatives in wireless sensor networks, RFID-enabled systems, and mobile computing. Dr. Venkatalakshmi has been instrumental in designing specialized curricula, setting up advanced research labs, and publishing extensively in reputed national and international journals.