Momahmoses/ng-borehole-failure-prediction

||IoT and LSTM predictive maintenance for Nigeria's 150,000 rural boreholes with 30-day failure prediction and automatic SMS dispatch to RUWASA technicians. # Borehole & Water Point Failure Prediction, Rural Nigeria > LSTM autoencoder predictive maintenance system for Nigeria's 150,000+ rural boreholes. Forecasts pump failure 30 days ahead from IoT telemetry (motor current, vibration, pressure, water table depth), dispatches maintenance work orders via SMS before communities lose access to water. --- ## The Problem Nigeria has over **150,000 rural water points**. UNICEF estimates **40% are non-functional** at any given time. When a borehole fails, communities, overwhelmingly women and children, walk 5+ kilometres to alternative water sources that are often contaminated. Maintenance is **entirely reactive**: a technician is dispatched only after the pump fails. The pump fails on a Tuesday. RUWASA hears about it Thursday. The technician arrives in two weeks. The community drinks surface water for two weeks. This is a preventable public health crisis. --- ## Solution Deploy low-cost IoT sensors on borehole pumps. Build an LSTM autoencoder that learns healthy pump behaviour. When reconstruction error rises above threshold, bearing wear, voltage anomalies, water table drop, vibration signature changes, the system predicts failure 30 days ahead and auto-dispatches a maintenance work order to the nearest RUWASA technician via SMS. --- ## Sensor Package (per borehole) | Sensor | What It Detects | Cost | |---|---|---| | Current transformer | Motor overload, voltage sag | ~$8 | | Vibration sensor (MEMS) | Bearing wear, imbalance | ~$6 | | Pressure transducer | Head pressure loss = pump wear | ~$12 | | Ultrasonic flow meter | Flow rate decline | ~$18 | | Water level sensor | Groundwater table depth | ~$15 | | Raspberry Pi + GSM | Edge processing + 15-min transmission | ~$45 | **Total per borehole: ~$104**, justified against $2,000+ emergency repair + $15,000+ community health cost. --- ## System Architecture ``` [IoT Sensors on Borehole Pump] → [Raspberry Pi edge node] ↓ ↓ [15-min r …