Historian Analytics for Boiler Performance Monitoring
The industrial historian already holds the operational record needed to reconstruct thermal performance. ControlAlign™ converts that record into deterministic operational intelligence — without writing to any control system.
The historian holds more than it is asked to deliver
Across thermal power plants, the process historian — PI / OSIsoft, Aveva, GE Proficy and equivalents — captures tag streams at sub-minute resolution across the operating life of the unit. The data is comprehensive. The interpretation, in most environments, is not.
Conventional historian analytics tend to focus on trending, alarming and event reconstruction. Generic industrial AI overlays add inferred recommendations. Neither reconstructs the unit's underlying thermodynamic reference state with deterministic, audit-grade traceability.
Historian-derived operational intelligence
ControlAlign™ is built on the principle that the operational record already contains the unit's demonstrated thermodynamic capability. The role of the platform is to extract that record, normalize it for load, ambient and fuel, and reconstruct the unit's operating state — deterministically and reproducibly.
This is not analytics for visualisation. It is operational intelligence for thermal power plant efficiency and heat rate improvement — derived entirely from the historian environment that already exists on site.
From historian to audit-grade interpretation
Every stage is read-only. ControlAlign™ has no DCS authority, no actuator interface, and no write path into any control system.
Read-only historian extraction
PI / OSIsoft, Aveva, GE Proficy and equivalent process historians. Non-intrusive ingestion.
Tag-stream normalization
Load, ambient and fuel-quality normalization to a stable thermodynamic basis.
Thermal-state reconstruction
Reconstruction of the unit's operating state — pressure, temperature, flow, combustion.
Reference-state derivation
The unit's own demonstrated best-performance envelope, derived from its historian record.
Drift interpretation
Continuous, deterministic identification of deviation from demonstrated reference.
Audit-grade outputs
Every interpretation traceable to the source historian tags — reviewable by engineering, regulator and financier.
What historian-derived operational intelligence delivers
- Boiler performance monitoring grounded in deterministic thermodynamic interpretation, not inferred recommendations.
- Operational performance management at unit and fleet scale.
- Energy analytics expressed in fuel-value and heat-rate terms, not opaque indices.
- DCS performance monitoring contextualised against the unit's demonstrated reference state.
- Audit-grade traceability across every interpretation, every cycle.
Deterministic — not generic industrial AI
ControlAlign™ is a historian-derived operational reference-alignment layer. It does not infer; it reconstructs. It does not recommend opaquely; it interprets deterministically. For the institutional methodology see the operational thermodynamics methodology.
Move from generic industrial AI to deterministic operational reference alignment
ControlAlign™ is the historian-derived operational reference-alignment layer for thermal power fleets. Request an operational assessment against your own historian environment.