uild a predictive maintenance system for industrial machinery using IoT sensors and machine learning. The system should predict potential equipment failures and schedule maintenance to minimize downtime.

Requirements:

1. Design an IoT architecture to collect real-time data from various sensors on industrial machines.
2. Implement machine learning models to analyze sensor data and predict when equipment will require maintenance.
3. Create a user-friendly dashboard for monitoring the health of the machinery.
4. Ensure the system can handle large volumes of data and provide timely alerts.
5. Develop an automated scheduling system for maintenance tasks based on the predictions.
6. Incorporate security measures to protect sensitive data transmitted by IoT devices.