Theory: Introduction to Industrial Internet of Things (IIoT) – History, Basic function and architecture, Basic elements of an automated system – Advanced automated functions – Levels of Automation - Fundamentals of Automated Production Lines –Role of IIOT in Manufacturing Processes. Introduction to hardware and software components in IoT, microcontrollers – Arduino, Raspberry pi, sensors – temperature, pressure, force, vibration. GPIO pins and specifications. Practical: 1.Introduction to hardware and software components inIoT 2.microcontrollers – Arduino UNO andMEGA 3.GPIO pins and specifications in RaspberryPi Sensors – Temperature, Pressure, Force,Vibration

Overview of IoT components ;Various Architectures of IoT and IIoT, Advantages & disadvantages, Industrial Internet - Reference Architecture; IIoT System components: Sensors, Gateways, Routers, Modem, Cloud brokers, servers and its integration, WSN, WSN network design for IoT. Wireless communication of IoT microcontrollers – Bluetooth, WiFi, RFID. Data Reduction and Analysis Techniques - Dimensionality reduction, Numerosity reduction and data compression. Practical: 1.Wireless communication of IoTmicrocontrollers: i.Bluetooth ii.Wi-Fi iii.RFID Demonstration of Data Reduction and Analyse techniques – INCA Tools

IoT enabling technologies: wireless sensor networks, cloud computing – Machine to machine communication – components of M2M – Features of M2M - Architecture and requirements of M2M– challenges and Standardization effort for M2M – combination of wireless technology: WI-FI, Automated Storage system,– Three phases – Factory data collection – manual method –Automated and semi-automated data collection (ADC). Control of actuators through microcontroller – motors, pneumatics and hydraulics, relays, interfacing multiple controllers.Practical: 1.Control of actuators through microcontroller 2.Motors, pneumatics andhydraulics 3.Relays for Automation ofprocesses 4.Interfacing multiplecontrollers

Theory: Automation overview, Requirement of automation systems, Architecture of Industrial Automation system, IoT controlled automated guided vehicle systems - Shop floor control - Use of IIoT in shop floor production and maintenance practices - Computer based data acquisition system, Internet of things (IoT) for plant automation - Industrial automation using robots. Advantages & Limitations in Automation. IoT smart energy management, sensor data acquisition, remote monitoring of devices through sensors and internet, IoT online analytic service - Thingspeak. Practical: 1.IoT smart energymanagement 2.Sensor dataacquisition 3.Remote monitoring of devices through sensors andinternet IoT online analytic service -Thingspeak

Theory: IoT for Plant automation - case study: Industrial control and smart health of machineries. Quality control – IoT-based inventory management architecture – Predictive maintenance of machineries – Factory Digitalization - Product flow Monitoring. Smart metering – energy, water and other fuels – Optimal scheduling of machines - smart tracking of components in production line. IoT gateways, HTTTP protocols, IoT communication technologies – Lora, Zigbee, BLE. Practical: 1.IoTgateways 2.HTTTPprotocols 3.IoT communication technologies: i.Lora ii.Zigbee BLE