INDUSTRY 4.0 INDUSTRIAL AUTOMATION & SMART MANUFACTURING INTERNSHIP

8 Days 70* hours Intensive Certified InternshipIndia’s biggest ever course work based Internship on

Intelligent Industrial Automation Systems and Smart Manufacturing and Robotics technologies

Internship Structure No of Days: 8 No of Hours: Total 70 (50 Hands-On Training Hours) + (20 Hands-On Project Hours on Project Assigned)What is Industry 4.0?Industry 4.0 is a name given to the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing. Industry 4.0 is commonly referred to as the fourth industrial revolution. Industry 4.0 fosters what has been called a "smart factory". Within modular structured smart factories, cyber-physical systems monitor physical processesA cyber-physical system (CPS) is a mechanism that is controlled or monitored by computer-based algorithms, tightly integrated with the Internet and its users. In cyber-physical systems, physical and software components are deeply inter-twined, each operating on different spatial and temporal scales, exhibiting mul-tiple and distinct behavioral modalities, and interacting with each other in a lot of ways that change with context. Examples of CPS include smart grid, autono-mous automobile systems, medical monitoring, process control systems, robot-ics systems, and automatic pilot avionics.

What you learn• Programmable Logic Controller (PLC) • Supervisory Control and Data Acquisition (SCADA) • Industrial IoT • Cognitive Computing in Manufacturing • Human Machine Interface (HMI) • Distributed Control Systems (DCS) • Industrial Robotics, Sensors and control systems • PLM Based Robot assembly systems• Enterprise Resource Planning (ERP) with IoT in Manufacturing• Automated Production systems (Internet of Production – IoP) • Smart Mobile Robotics for Intralogistics Day 1: Automation Landscape, Introduction to various types of Automation and Future prospects & Team Formation.

Introduction to Industrial Automation Systems • Introduction about Industry 4.0• Introduction to existing Industrial Control systems• Internet of Production (IoP) • Cognitive learning and HMITeam Formation - Problem Statement AllocationIndustry 4.0 – Automation and Robotics or Manufacturing related industrial problems/Opportunity area will be allocated to participants. Participants will work in a team and present the solution to Industry panelists. DAY 2: PLC • Basics of Programmable Logic Controller • Programming in PLC• Interfacing sensors, Relay and actuators with PLC• Control Circuit designing with PLC • Hands-on with PLC hardware & Programming• Cloud integration of PLC data • Visualization of PLC data• Digital Twin • PLC protocols ( Modbus, Field bus, Profibus) and its integration with Cloud • Concept of Industrial Gateway

DAY 3: SCADA• Basics of SCADA • Hands-on with SCADA Programming • Control system Simulation using various simulator tools. • Interfacing sensors, Relay and actuators with SCADA • Various Data Acquisition techniques from existing PLC machines• Industrial Protocols used for communication. • Industrial Control systems using SCADA• Industrial robots and various control systems• PLM based manufacturing setup and its simulation.

Day 4: Industrial Robotics

• Different Industrial Robots - Cartesian, Cylindrical, SCARA, 6-Axis and Delta.• Introduction to different Robotic Controller • Basic Components of Industrial Robots, Robotic, Axes, Degrees of Freedom• Coordinate Systems• Joints• Basic Robot Components and Movement Review• Stationary and Mobile Industrial Robots• Types of Mobile Robots• Robotic Arms• Serial and Parallel Robotic Arms• Types of Robotic Arms• Robot Joints and Types Review• Welding Applications• Material-Handling Applications• Additional Industrial Robot Applications• Artificial Intelligence- Smart Robots for Factory use and for Intra logistics. • Robot Programming Methods – Workcell programming with PLC

Day 5 & 6: Industrial IoT, Cognitive Computing with IBM Watson

Industrial IoT Introduction and Overview• Smart Factory of 2020• Industrial Internet• Predictive and Preventative Maintenance of a Machine• Tracking the utilization and productivity of the machine• Energy and cost optimization of manufacturing plants• 3 layered architecture of Big Data - Physical (Sensors), Communication, and Data IntelligenceMachine-to-machine (M2M) communication - IoT platforms - Creating sensor network with Wireless protocols - Security in IoTIoT and Industrial IIoT Standardization - IoT architectures - Cyber-physical systemsDatabase Implementation for IoT Cloud• SQL vs NoSQL-Which one is good for your IoT application• Open sourced vs. Licensed Database• Available M2M cloud platform• Siemens – Mindsphere for IIOT• Mongo DB • Working with Distributed Database • Distributed Cloud computing using different hardware• Cassandra as an Example. • Apache Spark for Big Data and AnalyticsDay 7 – 1st half – Cognitive computing using IBM Watson and Analytics• Predictive Analytics using IBM Watson • Cognitive learning with IBM Watson• Hands-on experience working with IBM WatsonDay 7 - 2nd half - Hands-on Lab with live projects & DemoParticipants will get a chance to do various real time Industrial Automation applications using various hardware, software, protocol and other systems available. Real time Industry problems interns will be working on to bring solu-tion based on Industry 4.0.

Day 8 - Project Presentation Solution/Project presentation – Peer to Peer learning Day – Learn from your other fellow participants about the projects they are working on and vice versa. • Best Teams will be selected and awarded “Winner of Industry 4.0 Summer’19” with prizes.• Best Students who perform well throughout the Program will get “Best Intern Award” and certificate of Excellence. Program BenefitsAfter the program the students should be able to:• Understand Industry 4.0 landscape and all emerging areas to develop products• Hands-on experience in working with PLC and SCADA • Understand and build Smart Factory Automation• Understand various Robotic controllers• Obtaining Data from various hardware in the factories• Understand the concepts of Cyber physical Systems• Conceptualize and develop products using Industrial IoT• Develop confidence of presenting their project/Product• Inclination towards entrepreneurship and business opportunities

Note: Expertshub has all rights to change the structure of the program based upon expert’s availability, equipment’s availability & lab conditions available at host institutions without prior notification to anybody.

*no of hours mentioned are calculated by both class room training & the time student spend outside the class room for their project work

Copyright © 2019 by ExpertsHubThe program structure and methodology is an intellectual property of Expert-shub Industry Skill Development Centre. Copying/distributing the same in any form or replicating the program structure is a criminal offence and Expertshub has all the rights to file a legal action against such a fraudulent activities.