B. Tech. (5th Sem)
(Common for CSE, CSE with Specialization in Data Science, CSE with specialization in Cloud Technology & Information Security)
IIOT-3 (Industrial Connectivity for IIOT)
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| IIOT 3 Machine learning for IIOT | IndianTechnoEra |
Course Objectives:
- 1.To gain knowledge of different industrial protocols.
- 2.To learn designing of user interface using ThingWorx platform.
- 3.To learn how to use intents to broadcast data within and between applications.
- 4.To use content providers and handle database using SQLite.
- 5.To identify anomalies in data patterns.
- 6.To discuss various security issues with Thingworx Platform.
Week 1 to 15
WK 1-WK 2: Project Presentation, Interfacing Raspberry Pi & GSM Module with Python- Python Basic Programming, GPIO Pins Interfacing, Python Coding
WK 3-WK 4: Battery Voltage Monitoring, Motor Temperature & Vibration Monitoring -GSM Module Introduction, Interfacing GSM Module to Raspberry Pi
WK 5: Sensor Description, Python Coding, Interfacing with Raspberry Pi
WK 6: Voltage Data on ThingWorx, Real Time patterns and anomaly detection
WK 7: Keyless start with RFID - RFID Description, Python Coding
WK 8: Interfacing with Raspberry Pi, RFID Data on Thingworx
WK 9: Interfacing with Raspberry Pi - GPS Description, Python Coding
WK 10: RFID Data on Thingworx - Interfacing with Raspberry Pi, API Integration - Google MAPs, GPS data on Thingworx Real Time patterns and anomaly detection of GPS data
WK 11: Air Pressure Monitoring of Tyres with Bluetooth - Sensor Description, Python Coding - Air Pressure Sensor, Air Pressure Interfacing with Raspberry Pi, Air pressure data on Thingworx
WK 12: Bluetooth Introduction, Python Coding – Bluetooth, Raspberry Pi - Bluetooth Interface, Real Time patterns and anomaly detection of Air pressure
WK 13: ThingWorx- creating a stream, configuring a stream, persistence provider extension, viewing data stream, creating data tags, Logging data streams,
WK 14: Value streams, data tables, data binding to remote thing, viewing data stream
WK 15: Creating data tags, Logging data streams, value streams, data tables, data binding to remote thing
Note: The student has to submit at least one project (depicting the real life scenario) using the technology and concepts learnt in this subject.
Course Outcomes:
After completion of this course, students are able to:
- 1.Study the Raspberry Pi with Linux operating system.
- 2.Implementing industrial protocols like GSM, GPS, and RFID etc.
- 3.Use intents to activity and broadcasting data in Thingworx using REST full API, EMS, KEPWARE.
- 4.Study the web services and properties.
- 5.Design and implement database application and content providers.
- 6.Real Time Health monitoring of Electrical vehicles.
- 7.Develop Thingworx App with various security features.
Recommended Textbooks:
- 1.Antonio Capasso and GiacomoVeneri, "Hands-On Industrial Internet of Things: Create a Powerful Industrial IoT Infrastructure Using Industry 4.0".
- 2.Adrian McEwen, Hakim Cassimally “Designing the Internet of Things”.
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