Predictive Maintenance
for Industrial IoT
Detect failures before they stop production. Proxus unifies vibration, temperature, and runtime data so you can build rules, detect anomalies, and trigger actions in real time.
What makes it work
Proxus connects sensor data, normalizes tags, and evaluates rules at the edge. You get fast detection, clean data models, and reliable alerts without rebuilding integrations for every plant.
- check_circle Live connectivity from PLCs and sensors using industrial protocols.
- check_circle UNS tag model to standardize assets with Unified Namespace.
- check_circle Edge rules using the rule engine for alerts and automation.
Typical signals
How it works
Connect assets
Onboard PLCs, drives, and sensors once and reuse templates across sites.
Normalize tags
Map signals to a consistent UNS model for analytics and dashboards.
Trigger actions
Run rules at the edge, notify teams, and open tickets automatically.
FAQ
Common questions about predictive maintenance rollouts.
No. Start with rules and thresholds, then add ML later using the same data model.
Yes. Proxus evaluates rules on gateways so alerts fire even when the network is down.
Export alerts to CMMS, ERP, or BI using IT/OT connectors.
Reduce downtime before it starts
See how Proxus brings predictive maintenance to your existing assets.