CEI341 Iot for Industry Automation Syllabus:
CEI341 Iot for Industry Automation Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES:
▪ To understand the basics of sensors used for various applications
▪ To develop the concept of signal conditioning circuits and implementation
▪ To study the role IoT sensors for automotive industries
▪ To familiarize about the functioning of IoT based sensors in healthcare industry
▪ To knowledge on unmanned Arial vehicle
UNIT I SENSORS & TRANSDUCERS
Introduction to IoT Sensors- Temperature sensors, Proximity sensor, Pressure sensor, Water quality sensor, Chemical sensor, Gas sensor, Smoke sensor, IR sensors, Level sensors, Image sensors, motion sensor, Humidity sensor, Ultrasonic Sensor, MQ2 Sensor, Digital switch, Electro Mechanical switches.
UNIT II SIGNAL CONDITION CIRCUITS
Design of Signal conditioning circuit – Wheatstone Bridge, Deferential and Instrumentation amplifiers, Capacitive Sensors, Inductive Sensors, Electromagnetic Sensors, Thermocouples, Piezoelectric Sensors, Photovoltaic Sensors, Thermistor, RTD, Load cell, Torque, Strain gauge, Force Sensor, Accelerometer, Digital and Intelligent Sensors
UNIT III INTERNET OF THINGS IN AUTOMOTIVE INDUSTRIES
Role of IoT automotive industries, interfacing of digital and analog sensors in automotive industries, Biometric car door opening, accident monitoring, Engine management system, driver management system, real time vehicle tracking system, 5G advanced driver assistance systems (ADAS), Augmented road sign information, In-vehicle Infotainment and Telematics, Automotive Maintenance System, Truck’s performance statistics like fuel and mileage,
Tracking traffic conditions on the road.
UNIT IV INTERNET OF THINGS FOR THE HEALTHCARE INDUSTRY
Emerging Technologies in Smart Healthcare, Fog Computing in Healthcare, Technologies Used in Software Defined Networking (SDN) and HealthCare, WSN and IoT Based Smart Surveillance Systems for Patients, Security and Privacy Issues in Smart Healthcare System, IoMT- Based Smart Remote Monitoring System.
UNIT V IOT FOR UNMANNED AERIAL VEHICLES
Introduction, Battery and Energy Management, Energy Efficient Communication Methods, Unmanned Aerial Vehicle (UAV) for Security Intelligence, Role of AI and Big Data Analytics in UAV, Blockchain-Based Solutions for Various Security Issues.
TOTAL: 45 PERIODS
SKILL DEVELOPMENT ACTIVITIES (Group Seminar/Mini Project/Assignment/ Content Preparation / Quiz/ Surprise Test / Solving GATE questions/ etc)
1. Knowledge in Python, C, ,C++, Java, embedded C programming language.
2. Familiar with Artificial intelligence and machine learning.
3. Mobile applications development
4. Skills in Cloud computing, Cybersecurity, Datascience
5. knowledge in process control and automation in different industries
COURSE OUTCOMES:
Students able to
CO1 Categorize sensors and transducers used in industry.
CO2 Explain about signal conditioning circuits.
CO3 Apply IoT design concept on automotive industry.
CO4 Analyse used of IoT technology in health care industry
CO5 Design unmanned aerial vehicles.
TEXT BOOKS:
1. A.K. Sawhney, “A Course in Electrical and Electronic Measurements and Instrumentation ”, Dhanpat Rai & Co. (P) Limited, 2015.
2. Ramon pallas-areny, John G. Webster, sensors and signal Conditioning, A WileyInterscience Publication, , 2001
3. IoT-Enabled Smart Healthcare Systems, Services and Applications by Shalli Rani, Maheswar Rajagopal, Neeraj Kumar, Syed Hassan Ahmed Shah, John.Wiley & Sons, Inc, 2022.
REFERENCES:
1. Jerry Luecke, Analog and Digital Circuits for Electronic Control System Applications, Elsevier Inc., 2005
2. Chimata, Raghuveer, Singh, Rajesh, Singh, Bhupendra, Internet of Things in Automotive Industries and Road Safety, River Publishers, 2018.
3. Shalli Rani, Maheswar Rajagopal, Neeraj Kumar, Syed Hassan Ahmed Shah, IoTEnabled Smart Healthcare Systems, Services and Applications, Wiley, 2022.
4. IoT in Automotive Industry: https://www.biz4intellia.com/blog/iot-applications-inautomotive-industry/