Chapter 13: Industrial IoT (IIoT): Predictive Maintenance, Asset Tracking, and Manufacturing Optimization.
Abstract: Industrial IoT (IIoT) leverages interconnected sensors and devices within industrial settings to collect real-time data, enabling predictive maintenance by anticipating potential equipment failures, tracking asset locations for better management, and optimizing manufacturing processes for increased efficiency and productivity through data analysis; essentially allowing businesses to proactively address issues, improve asset utilization, and make data-driven decisions to streamline production. Key aspects of IIoT: Predictive Maintenance: Sensor Data Collection: Sensors attached to machinery monitor critical parameters like vibration, temperature, and pressure, continuously collecting data on equipment health. Data Analysis: Machine learning algorithms analyze the collected data to identify patterns and predict potential failures before they occur. Proactive Maintenance: Based on predictions, scheduled maintenance can be performed to prevent u...