Notes

Use Case 1: Predictive Maintenance Using AI
Requirements Needed:
· IIoT sensors (vibration, temperature, current sensors)
· Microcontroller (e.g., ESP32)
· Network connectivity for data transmission
· AI analytics platform (ThingSpeak MATLAB, Python backend)
· Maintenance scheduling system integration
· Visualization tool (Power BI)
Algorithm & Procedure:
1. Deploy sensors on machines to collect real-time data
2. Stream sensor data to ThingSpeak
3. Preprocess and analyze data to detect anomalies using AI models (e.g., predictive failure algorithms)
4. Predict potential failure and generate maintenance alerts
5. Automate maintenance scheduling based on predictions
6. Visualize maintenance status and sensor trends in Power BI


Use Case 2: Human-Robot Collaboration in Assembly Lines
Requirements Needed:
· Collaborative robots with force and position sensors
· Sensors: potentiometer, force sensors, PIR for safety
· Control systems with AI decision-making
· Data streaming and logging platform (ThingSpeak)
· 3D simulation environment (Unity)
· Workflow monitoring dashboards (Power BI)
Algorithm & Procedure:
1. Integrate sensors with robots and assembly stations
2. Use AI for adaptive decision-making in task assignment
3. Stream sensor and robot status data to ThingSpeak
4. Visualize robot movements and human-robot interaction in Unity
5. Monitor workflow efficiency and KPIs in Power BI dashboards



Use Case 3: Smart Supply Chain Optimization
Requirements Needed:
· IoT sensors for tracking shipments (GPS, RFID)
· Networked devices to send real-time location and condition data
· AI algorithms for demand forecasting
· Data ingestion and analytics platform (ThingSpeak)
· Simulation for logistics (Unity)
· Supply chain dashboards (Power BI)
Algorithm & Procedure:
1. Attach IoT sensors to shipments to collect location and environmental data
2. Stream data continuously to ThingSpeak
3. Apply AI models for demand forecasting and route optimization
4. Simulate supply chain scenarios and bottlenecks in Unity
5. Use Power BI for real-time supply chain visualization and decision support


Use Case 4: Sustainable Manufacturing Practices
Requirements Needed:
· Environmental sensors (DHT for temp/humidity, energy meters)
· IoT connectivity
· AI models for energy optimization
· Waste management sensors (ultrasonic, load cell)
· Data platform (ThingSpeak)
· Visualization and reporting tool (Power BI)
· Optional: Simulation of energy flows in Unity
Algorithm & Procedure:
1. Deploy environmental and energy sensors in the factory
2. Collect and send sensor data to ThingSpeak
3. Use AI to analyze energy consumption patterns and optimize usage
4. Automate waste collection using sensor thresholds
5. Visualize energy savings, carbon footprint, and waste management stats in Power BI
6. Optionally simulate energy flows or factory changes in Unity




Use Case 5: Digital Twin for Smart Factories
Requirements Needed:
· IIoT sensors for real-time factory monitoring
· High-fidelity 3D models of factory equipment
· Real-time data streaming (ThingSpeak or custom)
· Digital twin simulation software (Unity)
· Analytics & dashboarding (Power BI)
Algorithm & Procedure:
1. Build a digital twin model of the factory in Unity
2. Collect real-time data from IIoT sensors
3. Feed live data to update digital twin parameters and animations
4. Use predictive analytics to optimize production line performance
5. Display KPIs and simulation insights on Power BI dashboards for decision-makers