Industrial Machine Health & Vibration Monitoring with LoRaWAN & Grafana
Industrial Industry 4.0 predictive maintenance system using MPU-6050 accelerometer, LoRa SX1278 transceivers, FFT vibration analysis, and Grafana dashboard.
Detailed Project Overview
An edge condition-monitoring platform for factory conveyor motors. Computes Fast Fourier Transforms (FFT) on high-frequency acceleration data to detect early bearing wear and shaft misalignment before catastrophic mechanical failure. Transmits packets over 5km using LoRa wireless spectrum.
Academic Problem Statement
Unplanned industrial machine breakdowns cost manufacturing plants millions per year. Wired industrial sensors are expensive to retrofit across large plant floors.
Proposed Methodology & Flow
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