uild a predictive maintenance system for industrial machinery using IoT sensors and machine learning. The system should
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Question:
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:
- Design an IoT architecture to collect real-time data from various sensors on industrial machines.
- Implement machine learning models to analyze sensor data and predict when equipment will require maintenance.
- Create a user-friendly dashboard for monitoring the health of the machinery.
- Ensure the system can handle large volumes of data and provide timely alerts.
- Develop an automated scheduling system for maintenance tasks based on the predictions.
- Incorporate security measures to protect sensitive data transmitted by IoT devices.
Related Book For
Accounting Information Systems
ISBN: 978-1133935940
10th edition
Authors: Ulric J. Gelinas, Richard B. Dull
Posted Date: