Unit 1 Basics

6 lecture hours

• of IoT in Instrumentation 1.1 Introduction to IoT 1.1.1 Concept of IoT 1.1.2 Evolution of Instrumentation: Conventional to Smart 1.1.3 Need of IoT in modern industries 1.1.4 Role of IoT in Instrumentation: Measurement
• Monitoring and Maintenance 1.2 IoT Architecture 1.2.1 Basic block diagram / architecture of IoT. 1.2.3 Components of each layer 1.2.4 Data flow in IoT—sensor to cloud/web 1.3 Enabling Technologies in IoT (Short Overview) 1.3.2 Cloud computing 1.3.3 Edge computing 1.3.4 Big data analytics 1.3 Industrial Applications of IoT 1.4 Advantages
• Limitations and Challenges of IoT in Instrumentation

Unit 2 Module 2

• IoT Hardware : Smart Sensor
• Sensor Network and Controller 2.1 Smart Sensors 2.1.1 Concept and general block diagram 2.1.2 Features of Smart Sensors 2.1.3 Difference between conventional and smart sensors 12 27 GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Instrumentation and Control Engineering Subject Code : DI05017051 Subject Name : Internet of Things in Instrumentation w.e.f. 2026-27 http://syllabus.gtu.ac.in/ Page 3 of 10 2.2 IoT Hardware Platforms for Instrumentation 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 between ESP8266
• Raspberry Pi 2.3 Sensor and Actuator Interfacing with Boards 2.3.1 Need for interfacing sensors and actuators with controllers 2.3.2 Types of Interfacing :  Analog interfacing using ADC  Digital interfacing 2.3.3 Basic interfacing methods:  GPIO  I2C  SPI  UART 2.3.4 Interfacing sensors with controllers (Ex : Interfacing LM35 or DHT11 with controller) 2.3.5 Interfacing actuators with controllers (Ex : Interfacing Relay or Solenoid Valve with controller) 2.4 Sensor Networks 2.4.1 Concept of Sensor Network 2.4.2 Architecture of sensor network 2.4.3 Types of Sensor Networks  Wired Sensor Network  Wireless Sensor Network (WSN) 2.4.4 Applications
• Advantages and Limitations in Instrumentation 2.5 Industrial Interface Standards 2.5.1 4–20 mA current loop and 0-10 V voltage signal 2.5.2 Interfacing 4 -20 mA current loop with controller using I to V converter and ADC

Unit 3 IoT

• Communication 3.1 Need of IoT enabled Communication in Instrumentation 10 22 GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Instrumentation and Control Engineering Subject Code : DI05017051 Subject Name : Internet of Things in Instrumentation w.e.f. 2026-27 http://syllabus.gtu.ac.in/ Page 4 of 10 Protocols for Instrumentation 3.1.1 Limitations of traditional industrial communication 3.1.2 IoT enabled Communication in Instrumentation 3.1.3 Compare traditional industrial communication with IoT enabled communication 3.2 Overview of IoT enabled Communication System 3.2.1 General block diagram with brief description of each block 3.2.2 Real life examples 3.3 MQTT Protocol 3.3.1 Concept and Working  Publish–Subscribe model  Broker and client  Topics 3.3.2 Use in Instrumentation with real life example 3.3.3 Advantages and Limitations 3.4 HTTP Protocol 3.4.1 Concept and Working  Request–Response model 3.4.2 Use in Instrumentation with real life example 3.4.3 Advantages and Limitations 3.5 Compare MQTT and HTTP Protocols 3.4 IoT Gateways in instrumentation 3.4.1 Why we need IoT Gateways 3.4.2 Types of IoT Gateway 3.4.3 Applications
• Advantages and Challenges

Unit 4 IoT based

• Data Handling in Instrumentation 4.1 Introduction to Cloud in Instrumentation 4.4.1 Limitations of traditional data monitoring (SCADA based) 4.4.2 Concept of Cloud and Cloud computing (Short Overview) 4.4.3 Examples of Cloud Platforms and services they offer 4.4.4 Role of Cloud and Cloud computing in Instrumentation / Process Industries 4.4.5 Compare Local monitoring with Cloud based remote monitoring 10 22 GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Instrumentation and Control Engineering Subject Code : DI05017051 Subject Name : Internet of Things in Instrumentation w.e.f. 2026-27 http://syllabus.gtu.ac.in/ Page 5 of 10 4.4.6 Applications of IoT enabled data monitoring in instrumentation (Cloud based) 4.2 Data Acquisition and Storage 4.2.1 Concept and Purpose of Data Acquisition 4.2.2 Basic Steps for Data Acquisition ( From raw sensor data to data ready for transmission ) 4.3.3 Concept of Data Logging and it’s importance in instrumentation 4.3.4 Concept of Data storage in Cloud 4.3.5 Simple example like monitoring Boiler Pressure
• Vibration of Turbine 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 Applications in Process Industries 4.5.3 Advantages
• Limitations and Challenges

Unit 5 Industrial

• Cyber security and Ethical Practices 5.1 Fundamentals of Industrial Cybersecurity 5.1.1 Concept of Cybersecurity in general and in industrial environment 5.1.2 Concept of Operational Technology (OT) and how it differs from Information Technology (IT) 5.1.3 Role of Cybersecurity in Process Industries 5.1.4 Common types of Cyber threats and attacks and it’s impact on Instrumentation Systems 5.2 Device Security 5.2.1 Physical Security of Devices 5.2.2 Access Control and Secure Configuration 5.2.3 Firmware and Device Maintenance Security 5.3 Data Security 5.3.1 Data Protection and Confidentiality 5.3.2 Secure Data Transmission 5.3.3 Data Backup and Integrity 5.4 Network Security 7 16 GUJARAT TECHNOLOGICAL UNIVERSITY Program Name: Diploma Engineering Level: Diploma Branch: Instrumentation and Control Engineering Subject Code : DI05017051 Subject Name : Internet of Things in Instrumentation w.e.f. 2026-27 http://syllabus.gtu.ac.in/ Page 6 of 10 5.4.1 Network Protection and Segmentation 5.4.2 Secure Communication Protocols 5.4.3 Monitoring and Threat Detection 5.5 Ethical Use and Professional Responsibility 5.5.1 Responsible Use of Industrial Data 5.5.2 Ethical Operation of Instrumentation Systems 5.5.3 Professional Conduct and Compliance 5.5 Industrial IIoT Applications (Case Studies) 5.5.1 Predictive maintenance of motors/pumps 5.5.2 Energy Monitoring in Industrial Plants 5.5.3 Boiler Monitoring System (Power Plant / Industry) 5.5.4 Smart manufacturing – SCADA + IIoT integration 5.5.5 Environmental Monitoring System