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IIoT edge processing reduces bandwidth use for real-time machine health monitoring

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Industrial IoT platforms avoid bandwidth strain by processing high-frequency sensor data at the edge before sending it to the cloud. Edge gateways convert raw vibration waveforms into frequency-domain metrics using Fast Fourier Transform (FFT) algorithms. These processed telemetry streams are then transmitted via lightweight MQTT protocols to cloud-based AI models. The cloud models perform anomaly detection by scoring the extracted features against predictive maintenance algorithms. This architecture enables real-time machine health monitoring while minimizing data transmission costs.

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