What is the main goal for this project?

Design and implement an IoT-based predictive maintenance system to reduce downtime and optimize machine maintenance scheduling.

IoT Sensor Selection and Configuration:

• Outcomes: Identification of the best IoT sensors for monitoring machine health.
• Deliverables:
• List of selected sensors and their specifications.
• Sensor configuration setup guide.

Data Collection and Monitoring:

• Outcomes: Real-time data collection and monitoring of machine health parameters.
• Deliverables:
• Data collection system setup and testing.
• Real-time dashboard showing machine status.

Predictive Maintenance Algorithm Development:

• Outcomes: Development of algorithms to predict machine failure before it occurs.
• Deliverables:
• Predictive algorithm code and data analysis.
• Documentation of algorithm logic and performance evaluation.

System Integration and Testing:

• Outcomes: Full integration of IoT devices with the predictive maintenance system.
• Deliverables:
• Integration testing results.
• Final implementation report with system optimization recommendations.

Final Report and Presentation:

• Outcomes: Clear presentation of the IoT system’s functionality, including predictive capabilities.
• Deliverables:
• PowerPoint presentation showcasing system setup, results, and benefits.
• Comprehensive final report with data insights and next steps.