Machine-learning models trained on a plant’s own sensor history flag deviations in vibration, temperature or pressure long before a failure — the technical foundation of predictive maintenance.
…more about Anomaly →Documentation that reflects the plant as it actually is — including every repair, replaced part and modification since commissioning. In PlantPilot the twin stays as-built automatically, because changes are recorded where the work happens.
…more about As-Built →An existing, historically grown plant — as opposed to a greenfield new-build. Brownfield digitization is PlantPilot’s core use case: AI document classification makes the retrofit of a digital twin affordable.
…more about Brownfield →Computerized Maintenance Management System — software for work orders, maintenance schedules and asset history. PlantPilot complements a CMMS with document intelligence, a spare-part marketplace and energy AI, connected via API.
…more about CMMS →Continuous measurement of equipment health indicators such as vibration, temperature and pressure. Provides the data stream that anomaly detection and predictive maintenance are built on.
…more about Condition →The EU Corporate Sustainability Reporting Directive and its reporting standards — requiring audited emission data from 2025 onwards. PlantPilot generates the energy & emission part from live consumption data.
…more about CSRD →Distributed Control System — the system that actually runs a process plant. PlantPilot never writes to the DCS: energy recommendations are advisory-only, executed by operators.
…more about DCS →A living digital representation of a plant: documents, asset structure, spare parts and live sensor data in one navigable model — kept as-built after every repair.
…more about Digital →The AI discipline of recognizing document types, extracting tag numbers and linking files to assets automatically. Compresses brownfield onboarding from years of manual data entry into weeks.
…more about Document →Any medium that delivers energy into the process: electricity, natural gas, steam, compressed air, hydrogen. Per-carrier accounting is the basis of credible Scope 1/2 reporting and energy optimization.
…more about Energy →Engineering, Procurement, Construction — the companies that design and build plants. With PlantPilot they stay in the value chain after handover, as digital service partners.
…more about EPC →Environmental, Social, Governance — the framework investors and regulators use to assess non-financial performance. For plant operators the E is the hard part: it requires metered, auditable energy and emission data.
…more about ESG →A pre-negotiated supply agreement with a vendor. PlantPilot applies frame contracts automatically during quote comparison — a key driver of the −30% spare-part savings.
…more about Frame →The best production run in a plant’s history — maximum output, minimum specific consumption, quality in spec. Comparing current operation against golden batches is the cheapest optimization program available.
…more about Golden →A plant built from scratch on a new site. Greenfield projects can be documented digitally from day one — hydrogen plants are the current showcase.
…more about Greenfield →Hazard and Operability Study — the systematic safety review of a process plant, conducted on the P&ID. Living documentation keeps HAZOP results connected to the components they describe.
…more about HAZOP →The time-series database that records process data (temperatures, flows, pressures, states) for years. Most plants store this data and never analyze it — energy AI changes that.
…more about Historian →The international standard family for asset management: value from assets over their whole lifecycle, based on reliable asset information — exactly what a current digital twin provides.
…more about ISO →The identification system that gives every component in a plant a unique code. Tag extraction from drawings is how AI classification links documents to assets.
…more about KKS →Maintenance, Repair and Operations — the global spend category PlantPilot addresses; over $600bn per year in the process industries.
…more about MRO →Mean Time Between Failures and Mean Time To Repair — the two classic reliability KPIs. Predictive maintenance raises MTBF; a digital twin with linked parts and docs cuts MTTR.
…more about MTBF →Systematically identifying parts and components that are no longer manufactured or supported — and securing re-engineering or alternatives before they stop the plant.
…more about Obsolescence →Overall Equipment Effectiveness — availability × performance × quality. The standard metric for how much of a plant’s theoretical capacity is actually used.
…more about OEE →Original Equipment Manufacturer — the company that built a machine or component. For many spares the OEM is the natural re-engineering partner when parts run out.
…more about OEM →The open, platform-independent standard for industrial data exchange. PlantPilot uses OPC UA for read-only ingestion of historian and SCADA data — without touching the OT network.
…more about OPC →A time window in which a plant ran at maximum output with minimum specific energy and wear. PlantPilot finds these patterns and helps operators reproduce them.
…more about Optimal →Piping & Instrumentation Diagram — the operational map of a process plant. In PlantPilot every component on the P&ID is clickable and linked to parts, docs and history.
…more about P&ID →The emissions attributable to one unit of product — increasingly demanded by industrial customers. Derived from per-carrier energy accounting allocated to production orders.
…more about Product →Maintenance triggered by predicted failure windows (from anomaly detection on vibration, temperature, pressure) instead of fixed intervals or run-to-failure.
…more about Predictive →Maintenance on fixed intervals or operating hours, regardless of actual condition. Safer than run-to-failure, but over-maintains healthy equipment — predictive maintenance closes that gap.
…more about Preventive →PlantPilot’s live aggregate of turnaround preparation: parts ordered and delivered, documentation complete, crews mobilized — one number per work package, system and TAR.
…more about Readiness →Renewable Fuel of Non-Biological Origin — the EU category for green hydrogen and derivatives. Certification requires metered proof of renewable power input per kg of product.
…more about RFNBO →Request for Quotation — in PlantPilot generated directly from the drawing: parts, drawing excerpt and quantities go to matched vendors; quotes come back comparable.
…more about RFQ →Operating equipment until it breaks. Feels cheap, but the costs hide in expedited freight, collateral damage and unplanned downtime — the baseline predictive maintenance is measured against.
…more about Run-to-Failure →Supervisory Control and Data Acquisition — the layer that monitors and controls distributed plant equipment. A key read-only data source for energy AI and predictive maintenance.
…more about SCADA →The GHG Protocol’s emission categories: direct emissions (1), purchased energy (2) and value chain (3). Plant operation platforms generate Scope 1/2 from metered consumption automatically.
…more about Scope →Total Cost of Ownership — the full cost of operating an asset over its life: energy, wear, maintenance, downtime. The honest metric for choosing operating points and investments.
…more about TCO →A planned full shutdown for inspection and overhaul, typically every 4–6 years, mobilizing 500–2,000 external workers on site for several weeks.
…more about Turnaround →The unit of turnaround planning: a scoped set of jobs on one system with its parts, documents, permits and crew. The readiness score aggregates across all work packages.
…more about Work →Get a demo and an individual version of PlantPilot to run your plant operation — saving money, time and emissions.
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