What is Industrial IoT ?
The industrial internet of things (IIoT) is the use of smart sensors and actuators to enhance manufacturing and industrial processes. Also known as the industrial internet or Industry 4.0, IIoT leverages the power of smart machines and real-time analytics to take advantage of the data that dumb machines have produced in industrial settings for years. The driving philosophy behind IIoT is that smart machines are not only better than humans at capturing and analyzing data in real time, they are better at communicating important information that can be used to drive business decisions faster and more accurately.
About the Workshop ?
Can you imagine a computing concept where everyday objects have network connectivity? Is it possible for ordinary devices to communicate among themselves? Yes!! And the answer is ‘the Internet of Things’. This Network of networks extracts and makes sense of data within machines. An estimated 50 billion wireless devices are to be connected to the internet by 2020. Interesting! Isn’t it?
How beautiful it is when your door can update its Facebook Status every time some one opens it. A song starts playing when you tweet about it. A fire sensor that automatically send an E-Mail to the fire department. Keeping all the awesomeness in mind Innovians Technologies has introduced the Internet of things workshop to get you ready for the future.
You’ll learn the basic concepts and features of the Industrial Internet of Things and build projects utilizing the RaspberryPi platform. You’ll discover fundamental concepts of cloud computing, sensor reading and connecting the e RaspberryPi to the Internet, wireless interfaces and Android phones. You’ll also learn to use the most popular open platforms for managing sensor data from the e RaspberryPi, how to trigger actuators remotely, and how to reprogram e RaspberryPi using cloud services.
Topics to be covered in Workshop
Module 1- Basic Concepts
- Introduction to IoT- Background & History
- How is IIoT different from plain vanilla IoT?
- Challenges facing IIoT due to the I part
- Traditional Data Acquisition & Control Architectures- PLC/DCS/SCADA/SIS
- Changes in legacy architectures due to to IIoT
- Industry 4.0 Concepts
Module 2- Understanding IIoT Architectures
- Understanding Industrial architectures
- Understanding Field Devices
- Understanding Edge Gateways in IIoT
- Connecting legacy I/O as Analog 4-20 mA, Fieldbus, Wireless devices and Gateways
- Communication Protocol MQTT
- Cyber security Considerations
- Understanding and Introduction to RPi
- What is SOC?
- Versions of Raspberry Pi & Their Difference
- Raspberry Pi 3
- Basics of Electronics
- Hardware Description
- Pin Configuration
- OS Installation on SD Card
- Downloading Image
- Study Various Operating Systems Available
- Making SD Card: Formatting and Partitions
- Raspberry Pi SD Installer
- OS Configuration
- Booting Into Desktop
- GUI Version
- CLI Desktop
- Changing Timezone
- Other Options
- Network Setup
- Setting Up Using GUI
- Setting Up Using Command Line
- Finding Pi’s IP Address
- Connecting with Wi-Fi/ LAN/ Datacard
- Study GPIO Pins
- Libraries Using Git
- Configuring GPIO Pins
- Pi using SSH
- Enabling SSH
- Logging in using Putty
- Run Basic Commands
- Use GPIO
- Understanding Linux
- File Structure
- Linux Commands
- Using Python
- Understanding Python
- Condition Statement
- Importing Libraries
Project 1: LED Program with Raspberry Pi
Project 2: Controlling LED with a Switch using Raspberry Pi
Project 3: Integrating IR Sensor with Raspberry Pi.
Project 4: Integrating Temperature & Humidity Sensor with Raspberry Pi & read Current Environment Values.
Project 5: Reading Environmental Values on Android Smartphone.
- Talking to your Android Phone with RaspberryPi
- Connecting RaspberryPi with Mobile Device.
- The Android Mobile OS.
- Using the Bluetooth Module
Project 6: Control Devices using Localhost Web Server for Home Automation.
- Integrating Ethernet Module & Testing DHCP Connection
- Creating Program for Localhost Web Server for controlling devices.
Project 7: Send Sensor Data on Cloud Server.
- Cloud Computing
- Communicating with the Cloud using Web Services.
- Cloud Computing & IoT.
- Popular Cloud Computing Services for Sensor Management.
Project 8: Automatically Tweet Sensor Data on Twitter.
Project 9: Control Electronic Devices from anywhere across the world using Internet & Mobile App.