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UReason’s asset apps run where your assets are — on Phoenix Contact controllers and edge devices, right next to the equipment. High-frequency data is processed at the source, and asset health is fed straight back into your control layer: DCS, SCADA and PLC.
Streaming vibration, acoustic emission and fast electrical data to the cloud is expensive, slow, and often impossible where connectivity is limited. And when analytics live remotely, there’s latency between detecting a problem and doing anything about it.
Capture and analyse vibration, acoustic and fast electrical signals at full fidelity, without shipping raw data off site.
Detection and response happen next to the asset, not a round-trip away.
Transmit results, not gigabytes of samples, to reduce bandwidth use and cloud costs.
Edge deployment continues to monitor and protect the asset offline.
Sensitive operational data stays within the plant boundary.
The industrial-grade foundation that makes near-asset analytics practical and deployable.
Controllers run classic IEC 61131 logic and high-level applications and containers side by side, so a predictive app sits right alongside the control program.
Controllers and industrial edge devices built for the cabinet and the field, not the data centre.
OPC UA, PROFINET, EtherNet/IP, Modbus, MQTT and more — clean integration down to the sensors and back to the control layer.
PLCnext is designed to deploy and manage partner applications on the controller. UReason’s apps are straightforward to install, run and update.
Applications that turn operational data into a prioritised, explainable picture of asset health — per equipment class.
Abnormal operating behaviour, degradation and developing failures.
Electrical and mechanical degradation and abnormal operating patterns.
Developing mechanical degradation and intervention priority.
Stiction, performance degradation and abnormal valve behaviour.
Deteriorating performance and conditions requiring investigation or cleaning.
Efficiency loss, fouling and developing mechanical degradation.
Differential pressure and blinding, to time changeouts and cleaning.
Abnormal loading, seal and drive-train degradation.
Across all of them: condition monitoring, failure-mechanism insight, prediction, cross-equipment prioritisation, a clear recommended action and full explainability — plus soft sensors that infer measurements you don’t physically have.
Because UReason runs on a Phoenix Contact controller that already speaks industrial protocols, results don’t dead-end in a separate dashboard.
Because the apps run locally with access to high-frequency data, UReason generates model-based virtual measurements in real time and publishes them onward.
Infer values that aren’t directly instrumented, extending coverage without adding hardware.
Efficiencies, internal conditions and derived variables, available as signals.
Cross-check a physical measurement against its virtual twin to catch drift, fouling or miscalibration early.
Instrument problems found before they corrupt control or analytics.
Maintain an estimated value when an instrument is offline or under maintenance.
Equipment monitoring never goes dark.
Limited connectivity, strict data-residency requirements, or latency-critical assets.
Analyse locally, aggregate centrally for fleet-wide visibility.
Next to the asset, without re-architecting the control system.
Phoenix Contact provides the edge and control platform. UReason provides the predictive asset apps that run on it. Together they turn high-frequency equipment data into real-time, actionable intelligence — right at the asset, and right back into the systems that run your plant.