Manufacturing · AI Solutions
PlantPulse
PlantPulse is a concept industrial analytics solution demonstrating how sensor data and machine learning could support predictive maintenance.
This is a concept project created to demonstrate our approach. It does not represent a client engagement.
Concept project
The Problem
Unplanned machine downtime with maintenance scheduled reactively rather than predictively.
- Noisy, high-frequency sensor data
- Explaining predictions to engineers
- Integrating with existing plant systems
The Solution
A predictive-maintenance dashboard concept forecasting equipment issues from sensor data.
Data pipeline
Streaming ingestion with cleaning and feature engineering.
Explainable models
Predictions shown with the signals driving them.
Actionable alerts
Prioritised maintenance recommendations.
Key Features
- Equipment health scores
- Failure risk forecasts
- Maintenance planning
- Plant-wide overview
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