Plantwin streams process historian data into multi-level dashboards for refinery, process unit, equipment, utilities and energy management — with engineer-defined KPIs, prioritised alarms and scheduled reporting.
Capabilities
Every module reads from the same historian mapping and the same time window, so a number on the refinery dashboard is the number an engineer can trace to its tags.
Drill from refinery-wide performance to a single pump without losing context. Every level shares the same time window, units and alarm state.
Three transports for the same historian: the .NET bridge, the x64 ODBC driver, or a direct REST endpoint with automatic token handling.
Every KPI is an equation over mapped tags with configurable limits, so the twin reflects your process — not a vendor's assumption about it.
One prioritised log for KPI, equipment and utility exceedances, with frequency analytics per asset so recurring offenders surface fast.
Energy intensity index, baselines with regression, Sankey energy balances and tracked Energy Conservation Initiatives with verified savings.
Multi-axis and stacked trends, hairline cursors with slice statistics, regression tooling and an in-browser Python notebook for ad-hoc work.
Scheduled and on-demand reports per refinery, unit or equipment scope, delivered by email with one-click PDF and CSV export.
Run in the cloud or fully on-premise behind SSL inspection, with Microsoft Entra ID SSO, role-based access and machine-bound licensing.
Process engineers
Unit charge rates, mass balance, conversion and yields with the analytics workbench to test a hypothesis in minutes.
Energy managers
Energy intensity, tariff-aware cost, waste heat visibility and initiative tracking against a statistical baseline.
Reliability & maintenance
Equipment health radars comparing design against actual, plus alarm frequency per asset to prioritise interventions.
Operations leadership & CTOs
One consolidated performance picture, scheduled reporting, and a deployment model that satisfies plant cyber-security policy.
Inside the twin
Capacity utilisation and conversion dials with trend sparklines, per-unit utilisation bars that open the unit page, product slate and live charge rate.
Screens shown with simulated historian data. Connected installations render your own PHD tags, units and limits.
How it works
Point Plantwin at PHD over the .NET bridge, ODBC or REST. The tag catalogue syncs with descriptions and engineering units.
Register units, ancillary systems and utilities, map signals to tags, and define KPI equations with operating limits.
Monitor live dashboards, act on prioritised alarms, and quantify conservation initiatives against verified baselines.
Contact
Tell us which units you run and how your historian is deployed. We will come back with a walkthrough tailored to your configuration — including on-premise installs behind SSL inspection.
