Intelligent Industrial IoT and Computing Lab
Intelligent Industrial IoT and Computing Lab
Overview
The Intelligent Industrial IoT and Computing Lab is an advanced teaching and research facility under the School of Electronics/Computer Engineering, designed to provide hands-on experience in Industrial Internet of Things (IIoT), edge computing, and intelligent automation. The lab supports foundational and advanced courses in IoT systems, embedded computing, edge AI, and industrial automation.
It focuses on developing skills in sensor integration, real-time data acquisition, communication protocols, and intelligent decision-making systems. Students gain practical exposure through laboratory experiments, mini-projects, and industry-relevant applications such as smart manufacturing, predictive maintenance, and autonomous systems. The lab bridges theoretical concepts with real-world deployment using modern tools, platforms, and computing frameworks.
Objectives
- To provide practical exposure to Industrial IoT architectures and real-time data acquisition.
- To develop skills in sensor interfacing, embedded systems, and edge device programming
- To understand communication protocols such as MQTT, CoAP, BLE, Zigbee, and WiFi.
- To train students in edge computing, cloud integration, and data analytics for industrial applications.
- To foster problem-solving through hands-on experiments, mini-projects, and automation use cases.
- To promote development of intelligent IoT systems using AI/ML along with best practices in design, deployment, and security.
Key Focus Areas
- Industrial IoT Systems: Architecture, sensors, actuators, PLC integration, and automation workflows.
- Embedded & Edge Devices: Microcontrollers (Arduino, ESP32, Raspberry Pi) and real-time interfacing.
- Communication Protocols: MQTT, CoAP, HTTP, BLE, Zigbee, RFID, and industrial standards.
- Edge & Cloud Computing: Edge processing, cloud platforms, and hybrid architectures.
- Data Analytics & AI: Predictive maintenance, anomaly detection, and ML for IoT.
- Digital Twin: Simulation, monitoring, and optimization of industrial systems.
- IoT Security: Authentication, encryption, and secure communication.
