Unit 1 Module 1

8 lecture hours

• Introduction to IIoT 1.1 Introduction to IoT and IIoT 1.1.1 Definition of IoT and IIoT 1.1.2 Key differences between IoT and IIoT (Reliability
• Real-time) 1.1.3 Need of IIoT in modern industries 1.1.4 Role of IIoT in automation and robotics 1.2 IIoT Architecture 1.2.1 Basic block diagram / architecture of IIoT. 1.2.3 Components of each layer 1.2.4 Data flow in IIoT—sensor to cloud 1.3 Enabling Technologies in IIoT 1.3.1 AI and Machine Learning in IIoT 1.3.2 Cloud computing 1.3.3 Edge computing 1.3.4 Big data analytics 1.3.5 Cyber-physical systems 1.3 Industrial Applications of IIoT 1.4 Challenges in IIoT

Unit 2 Module 2

• Actuators and Edge Devices for IIoT 2.1 Smart Sensors 2.1.1 Concept and general block diagram 2.1.2 Sensor calibration & diagnostics 2.1.3 Sensor fusion 2.2 Microcontrollers and IIoT Devices 2.2.1 ESP8266 architecture and features 2.2.2 ESP32 architecture and features 2.2.3 Raspberry Pi architecture and features 2.2.4 Comparison of popular IIoT devices 2.3 Actuators 2.4.1 Electrical actuators (Relays
• servo motors
• stepper motors) 2.4.2 Pneumatic actuators 2.4.3 Hydraulic actuators 2.4.4 Interfacing actuators with controllers 2.4 Sensor Interfacing & Data Acquisition 2.4.1 Analog interfacing (ADC
• sampling rate
• resolution) 2.4.2 Digital interfacing (I2C, SPI, UART) 2.5 Industrial Interface Standards 10 22 GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Automation and Robotics Subject Code : DI04041051 Subject Name : Industrial Internet of Things w.e.f. 2025-26 http://syllabus.gtu.ac.in/ Page 3 of 8 2.6.1 4–20 mA current loop and 0-10 V voltage signal 2.6.2 RS-485 standard 2.6.3 Modbus RTU fundamentals 2.6.4 Industrial communication gateways 2.6 Edge Computing 2.6.1 Concept of edge Computing in relevance with IIoT 2.6.2 Need of edge computing 2.6.3 Applications
• Advantages and Limitations

Unit 3 IIOT

10 lecture hours

• Networking and Communication Protocols 3.1 Networking Fundamentals 3.1.1 OSI layers and relevance to IIoT 3.1.2 Network types: PAN, LAN, WAN 3.1.3 Industrial networks (Fieldbus
• Industrial Ethernet) 3.2 Wireless Technologies 3.2.1 Wi-Fi – architecture
• limitations 3.2.2 Bluetooth & BLE – applications in IIoT 3.2.3 LoRa & LoRaWAN – long-range networks 3.2.4 ZigBee basics 3.3 Industrial Protocols 3.3.1 MQTT  Publish-subscribe model  MQTT Broker and Client  MQTT vs HTTP 3.3.2 HTTP/HTTPS  Request/response model  REST APIs 3.3.3 Modbus RTU / TCP  Registers & addressing  Framing  Master/slave concept 3.4 Gateways 3.4.1 Role of IoT gateways 3.4.2 Types of IoT Gateway 3.4.3 Applications
• Advantages and Challenges

Unit 4 Cloud

• Platforms and IIoT data management 4.1 Cloud Platforms 4.1.1 What is Cloud Platform 4.1.2 Why we need cloud platform 4.1.3 Importance
• Applications and Advantages of cloud plateforms. 4.1.4 Examples of cloud platforms (AWS IoT Core
• Microsoft Azure IoT Hub, Google IoT Core
• Third-party platforms – Blynk
• Thingspeak ) 4.2 Data Analytics in IIoT 10 22 GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Automation and Robotics Subject Code : DI04041051 Subject Name : Industrial Internet of Things w.e.f. 2025-26 http://syllabus.gtu.ac.in/ Page 4 of 8 4.2.1 Basic components of Data Analytics 4.2.2 Applications of Data Analytics in IIoT 4.2.3 Challenges 4.3 Data Handling 4.3.1 Definition 4.3.2 Types of Data Handling 4.3.3 Basic Steps for Data Handling 4.3.4 Use cases 4.3 Data Visualization 4.3.1 Definition 4.3.2 Need of Data Visualization 4.3.2 Tools for Data Visualization 4.3.3 Applications and challenges 4.5 Digital Twins 4.5.1 Definition and Working 4.5.2 Types of Digital Twins 4.5.3 Applications and Advantages

Unit 5 Security

• and Industrial Applications 5.1 IIoT Security Fundamentals 5.1.1 Importance of industrial security 5.1.2 Authentication & authorization 5.1.3 Access control methods 5.2 Device Security 5.2.1 Secure boot 5.2.2 Firmware security 5.2.3 Device identity management 5.3 Data Security 5.3.1 Encryption (TLS
• SSL basics) 5.3.2 End-to-end security 5.4 Network Security 5.4.1 Firewalls 5.4.2 VPN 5.4.3 Secure MQTT communication 5.5 Industrial IIoT Applications (Case Studies) 5.5.1 Predictive maintenance of motors/pumps 5.5.2 Smart energy monitoring in robotics labs 5.5.3 Robot telemetry monitoring system 5.5.4 Smart manufacturing – SCADA + IIoT integration 5.5.5 Inventory tracking in warehouses 7 16 GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Automation and Robotics Subject Code : DI04041051 Subject Name : Industrial Internet of Things w.e.f. 2025-26 http://syllabus.gtu.ac.in/ Page 5 of 8 SUGGESTED PRACTICAL EXERCISES The following practical outcomes (PrOs) that are the sub-components of the COs
• Some of the PrOs marked ‘*’ are compulsory
• as they are crucial for that particular CO
• These PrOs need to be attained at least at the ‘Precision Level’ of Dave’s Taxonomy related to ‘Psychomotor Domain’
• Hrs. required 1 Study the hardware and software components used in an IIoT system. 2 2 Interface a temperature sensor with ESP32/NodeMCU and read real-time data. 2 3 Interface a humidity or pressure sensor and display its readings on the serial monitor. 2 4 Measure a 4–20 mA industrial sensor signal using an ADC interface module. 2 5 Apply basic filtering techniques to reduce noise from sensor data. 2 6 Control a relay or LED actuator using ESP32 based on sensor input. 2 7 Connect the ESP32/NodeMCU to a Wi-Fi network and verify connectivity. 2 8 Send sensor data to a cloud platform using HTTP GET/POST through REST API. 2 9 Publish and subscribe messages using the MQTT protocol with a public broker. 2 10 Develop an MQTT-based remote monitoring and control setup. 4 11 Send structured sensor data in JSON format to a cloud server. 2 12 Interface an RS-485 Modbus RTU sensor and read data registers. 4 13 Use LoRa or LoRaWAN module to transmit sensor data over long distances. 4 14 Send sensor readings to a mobile app using Bluetooth Low Energy (BLE). 2 15 Create a real-time IIoT data dashboard on Blynk
• or Thingspeak. 4 16 Analyze historical and live cloud data to observe trends and variations. 2 17 Implement edge processing on ESP32 by making decisions locally before sending data to cloud. 2 18 Enable secure MQTT communication using TLS/SSL for encrypted data transfer. 4 GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Automation and Robotics Subject Code : DI04041051 Subject Name : Industrial Internet of Things w.e.f. 2025-26 http://syllabus.gtu.ac.in/ Page 6 of 8 Approx
• Hrs. required 19 Implement basic IIoT cybersecurity practices like secure passwords and protected API keys. 2 20 Set up automated SMS or email alerts based on threshold sensor values from the cloud. 2