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Hand’s On IIOT Training for Factory Automation & Smart Factory Industry 4.0

  • Genuine Placement
  • 45k Enrolled
  • All levels
  • English
embedded training in bangalore

Training Overview

IIOT Training PLC Programming, SAAS Integration.
Gateway Read / Write The data from Cloud API Server
Communication Protocol OPC, MQTT, Modbus, Profibus, Profinet
Wireless Com Wifi, Bluetooth, IOT, Lora, Zigbee.
Sensors Interfacing IR, Proximity, Capacitive.
Motor Programming & Wiring, Parameterisation, Interfacing

Syllabus - In Detail

  1. Introduction to Industrial Internet of Things (IIoT) & Industry 4.0
    • Embedded systems & computer networks
    • Machine-to-machine (M2M) communication
    • Internet of Everything (IoE)
    • Machine learning & artificial intelligence
    • Distributed computing
    • Industrial automation
    • Interoperability, identification localization, communication, and software-defined assets
    • Evolution of IIoT – understanding the IT & OT convergence
    • OT components like Industrial control systems, PLC, SCADA, and DCS
    • IT components like hardware, software, and people processes
    • Adoption of IIoT
    • Market trends and opportunities in IIoT

PLC, SCADA, DCS, VFD, HMI, SERVO & Other Field Devices (Practical’s)

  • History of Industrial automation, OT level Components – plants to parts
  • Relay Logics & Practical Applications
  • PLC, Relays, Contactors & Other Control panel Equipments
  • PLC programming, Testing & Commissioning, PLC panel wiring
  • VFD programming, Testing & Commissioning & panel wiring
  • SCADA Integration (PLC, VFD, HMI Interface using standard Communication Protocols)
  • Industrial networks (Modbus- TCP/iP, Modbus RTU), Etherent IP
  • Machine-to-machine Communication networks

Modbus data reading , Browsing Data-points of all machines / PLC equipment’s (Practicals)

IIoT Gateway Communication with All OT level Components (Practicals)

All PLC data to browse at IIoT Gateway Interface software

 
  • Industry 4.0 Smart factory
  • Integration of products, processes, and people
  • Smart factories and cyber-physical systems
  • Design principles
  • Challenges on the path to be a smart factory

Industrial Cloud platforms

  • Industrial gateways
  • Commercial gateways by Intel and Cisco
  • Cloud-based gateway solutions
  • IaaS, PaaS, and SaaS models
  • Cloud components and services
  • Device management, databases, visualization, and reporting
  • Notification management
  • Security management
  • Cloud resource monitoring and management
  • AWS IoT
  • Microsoft Azure IoT
  • Gateway to AWS Cloud Connectivity
  • AWS data base creation
  • AWS real time analytics
  • Real time data monitoring

One IIoT real time Project for 3 Machine (of 12 I/O Points each machine )

State of Art Lab

Placements