IoT Sensors: These small, smart devices are embedded in equipment to collect and transmit real-time data, including temperature, pressure, vibration, humidity, and more. The sensors provide valuable insights into the condition and performance of the equipment.

Data Analytics: The data collected by IoT sensors is processed and analyzed using advanced analytics techniques. Machine learning algorithms play a crucial role in detecting anomalies, identifying patterns, and making predictions based on historical data.

Cloud Computing: IoT devices transmit data to cloud-based platforms, where it is stored, processed, and accessed by maintenance teams. Cloud computing enables scalable storage, real-time analytics, and remote access to maintenance information.