Plants drift before they trip. Cerasus turns your historian into an early-warning system — KPIs, soft sensors and deviation limits that show operations and engineering where a unit is heading, while there is still time to act.
Process monitoring is the continuous comparison of what the plant is doing against what it should be doing: performance KPIs (yield, energy per tonne, exchanger UA, compressor efficiency), equipment health indicators, and statistical deviation detection on key variables.
The Cerasus approach layers engineering models on historian data — rated exchangers, inferred properties, mass-balance closure — so the alerts mean something to an operator, not just a statistician.
Unit and equipment KPIs with targets, calculated live from historian data.
Inferential property estimates (e.g. RVP, cut points, composition) validated against lab data.
Statistical and engineering limits that flag drift before alarms.
Exchanger fouling, compressor performance, valve health trends.
Daily / weekly performance reports and root-cause drill-downs.
OPC UA / PI / IP.21 connections and data quality checks.
Agree KPIs, limits and who acts on which alert.
Historian tags, data quality, calculation engine.
Validate soft sensors and limits against history.
Dashboards live; monthly review and tuning.
ISO 22400KPIs for manufacturing operations managementISA-95 / IEC 62264Enterprise–control system integrationISA-18.2 / IEC 62682Alarm management — separating monitoring from alarmsOSHA 29 CFR 1910.119(d)(2)PSM — monitoring against safe operating limitsAPI RP 754Process safety indicators (Tier 3/4)OPC UA (IEC 62541)Data connectivityISA-101HMI design for operator displaysSend a short brief — plant, service of interest and what you need to achieve — and a Cerasus engineer will respond with a proposed scope and next steps.
Prefer email or phone? sales@cerasus.ai · +974 5506 2743