# PlantPilot

> PlantPilot is the plant platform for everyone who builds, services and runs an industrial plant. Three layers: a collaborative as-built twin shared by OEMs, EPCs, engineering partners and operators (documentation, spare parts, re-engineering, turnarounds); a data hub that turns existing sensor data into predictive maintenance and predictive operations; and a TCO optimization that computes the cheapest way to run the plant per unit — energy, material, maintenance and CO₂ — with ESG reporting as a by-product.

The site is available in English (/en/) and German (/de/). Below are the English pages.

## Key facts
- What it is: a plant platform with three layers — (1) Collaborative Plant Twin, (2) Data Hub & Predictive Operations, (3) TCO Optimization. ESG/CSRD reporting is a by-product of layer 3, not a separate product.
- Who it is for: OEMs & technology providers (after-sales on the installed base), EPCs & engineering partners (operation blueprint at handover, service contractor role), plant owners & operators (run at the total-cost optimum).
- Why it is different: most digital twins are single-company folders; PlantPilot's twin is shared across the OEM → EPC → engineering → operator chain and transactional (re-engineering requests, RFQs, purchase orders run through it). It also uses the sensor data plants already record instead of requiring new IIoT.
- Proven with: Linde (PLANTSERV® references), Wacker, BASF, Westfalen — 114 plants, 250,500 parts, 100 million data points, 10+ GWh energy saved, 12 countries.
- Measured effects: −30% spare-part spend, −70% organization time per turnaround, −20% unplanned downtime, 5–20% lower energy/cost per unit.
- Market context (sources on /en/why-us/): unplanned downtime costs Fortune Global 500 industrials ~11% of revenue (Siemens, 2024); <1% of offshore sensor data reaches decision-makers (McKinsey); predictive maintenance cuts downtime 30–50% (McKinsey); aftermarket services earn 2–3× the margin of new equipment (Deloitte); purchase price is only 20–30% of an asset's lifetime cost.
- Integration & security: read-only ingestion from historian/SCADA/OEM telemetry via OPC UA; SAP PM/MM, CMMS, ERP via REST; no write access to DCS/SCADA; EU data residency; ISO 27001 / IEC 62443 roadmap.
- Commercial model: per-plant annual licenses (Base / Pro / Enterprise) + 2% transaction fee on marketplace orders; paid proof of concept (~3 months on one reference plant); payback typically within the first year.
- Company: built by mantro GmbH (Munich company builder); CEO Christoph Beck; contact hallo@plantpilot.net.

## Main
- [Collaborative Plant Twin, Predictive Operations & TCO](https://www.plantpilot.net/en/)
- [Why us](https://www.plantpilot.net/en/why-us/): Why PlantPilot: a plant is built by many and run by one — we are the system they share. Collaborative twin, predictive operations, TCO optimization.
- [About us](https://www.plantpilot.net/en/about/): PlantPilot — built by mantro, proven with Linde, Wacker, BASF and Westfalen. Our mission: one shared system for everyone who builds and runs a plant.
- [Customers](https://www.plantpilot.net/en/customers/): How Linde, Wacker, BASF and Westfalen run 114 plants on one shared twin — with predictive operations and TCO optimization.
- [Partner](https://www.plantpilot.net/en/partner/): Join the PlantPilot ecosystem of OEMs, EPCs, engineering offices and vendors — earn on every transaction and every plant over its lifetime.
- [Press](https://www.plantpilot.net/en/press/): Press information and media kit — PlantPilot, the plant platform for OEMs, EPCs and operators.
- [Career](https://www.plantpilot.net/en/career/)
- [Contact](https://www.plantpilot.net/en/contact/): Book a demo of PlantPilot — one collaborative twin, one data hub, one TCO optimum for your plant or installed base.
- [Login](https://www.plantpilot.net/en/login/)

## Product
- [The After-Sales Platform for OEMs](https://www.plantpilot.net/en/product-engineers/): PlantPilot for OEMs & technology providers — turn every delivered unit into a lifelong after-sales business on your own installed base.
- [The Build & Operate Platform for EPCs](https://www.plantpilot.net/en/product-planners/): PlantPilot for EPCs & engineering partners — hand over an operation blueprint instead of a binder and stay the service contractor after commissioning.
- [The Plant Operation Platform](https://www.plantpilot.net/en/product-owners/): PlantPilot for owners & operators — run your plant at its total-cost optimum with the OEM, your EPC and your service partners on one as-built twin.

## Industries
- [Oil & Gas Industry](https://www.plantpilot.net/en/industries/): PlantPilot for Oil & Gas — digital twin, 1-click spare parts, turnarounds and energy AI for refineries, gas processing and pipeline assets.
- [H2 Industry](https://www.plantpilot.net/en/industries-h2/): PlantPilot for hydrogen producers — digital twin from day one, 1-click spare parts for stacks & compressors, RFNBO- and CSRD-ready reporting.
- [Petrochemical Industry](https://www.plantpilot.net/en/industries-petrochemical/): PlantPilot for petrochemical plants — digital twin, HAZOP-ready documentation, turnaround orchestration and product carbon footprint reporting.
- [Paper Industry](https://www.plantpilot.net/en/industries-paper/): PlantPilot for paper mills — machine documentation as a digital twin, 1-click spare parts for rolls & bearings, steam and drying optimization.
- [Industrial Manufacturing](https://www.plantpilot.net/en/industries-industrial/): PlantPilot for industrial manufacturing — one digital twin for a heterogeneous machine park, 1-click spare parts and energy analytics per line.
- [Life Science Industry](https://www.plantpilot.net/en/industries-life-science/): PlantPilot for pharma & biotech — GMP-ready documentation, qualified spare parts with full traceability and cleanroom energy optimization.
- [Infrastructure](https://www.plantpilot.net/en/industries-infrastructure/): PlantPilot for infrastructure operators — one digital twin across distributed sites, spare parts for long-lived assets and network energy optimization.
- [Renewables Industry](https://www.plantpilot.net/en/industries-renewables/): PlantPilot for wind, solar & storage fleets — a digital twin per asset, 1-click spare parts and service campaigns planned around weather windows.
- [Mining Industry](https://www.plantpilot.net/en/industries-mining/): PlantPilot for mining operations — documentation for fixed & mobile assets, spare parts logistics to remote sites and energy & diesel optimization.

## Resources
- [Resources — Articles](https://www.plantpilot.net/en/resources-articles/): Insights on digital plant operation, predictive maintenance, energy and ESG.
- [Resources — Market Study](https://www.plantpilot.net/en/resources-study/): Market study Plant Management 2026 — how operators, EPCs and OEMs share plant data, use sensor data and optimize total cost of ownership.
- [Resources — FAQ](https://www.plantpilot.net/en/resources-faq/): Frequently asked questions about PlantPilot — collaborative twin, partners, data hub, predictive operations, TCO optimization and ESG.
- [Resources — Glossary](https://www.plantpilot.net/en/resources-glossary/): Glossary of plant operation terms — from as-built twin and data hub to predictive operations, TCO and turnaround readiness.

## Articles
- [From 100,000 Plant Docs to a Digital Twin](https://www.plantpilot.net/en/articles/ai-document-classification-brownfield-digital-twin/): How AI document classification turns messy brownfield plant documentation into a navigable digital twin for maintenance, procurement and ESG reporting.
- [Turn Plant Data Into CSRD Reports Automatically](https://www.plantpilot.net/en/articles/csrd-esg-reporting-byproduct-digital-plant/): How a digital twin turns everyday plant operation data into audit-ready CSRD and ESG reporting — cutting manual effort and Scope 1-2 reporting risk.
- [Energy AI: Finding the Optimal Operating Point](https://www.plantpilot.net/en/articles/energy-ai-process-plants-optimal-operating-point/): Discover how Energy AI helps process plants find and hold the optimal operating point to cut energy costs, lower CO2 and improve ESG and CSRD reporting.
- [From P&ID to Purchase Order in One Click](https://www.plantpilot.net/en/articles/pid-to-purchase-order-one-click-maintenance/): How a digital twin built from your P&IDs turns predictive-maintenance signals into approved spare-part purchase orders — cutting downtime and admin overhead.
- [Cut Unplanned Downtime: A Predictive Maintenance Roadmap](https://www.plantpilot.net/en/articles/predictive-maintenance-roadmap-process-plants/): A practical, step-by-step predictive maintenance roadmap to reduce unplanned downtime in process plants and protect throughput, safety and margins.
- [5 reasons to use a digital plant operation tool](https://www.plantpilot.net/en/articles/digital-plant-operation-tool/): Paper archives, Excel TAR plans and email RFQs cost real money: −70% organization time and −30% spare costs are waiting in your documentation. The five levers, explained.
- [AI-based energy management: how plants find their own optimum](https://www.plantpilot.net/en/articles/ai-energy-management/): Pattern recognition over historian data identifies the operating states in which your plant runs best — and steers toward them. 5–20% savings, advisory-only.
- [Why predictive maintenance beats run-to-failure — the numbers](https://www.plantpilot.net/en/articles/predictive-maintenance/): Anomaly detection on vibration, temperature and pressure finds failures weeks ahead. What that does to downtime, spare logistics and your TAR scope.
- [Digital twin of a plant — by click](https://www.plantpilot.net/en/articles/digital-twin-by-click/): AI document classification finally makes brownfield onboarding affordable: from scanned P&amp;IDs to a navigable plant file in weeks, not years.
- [Spare part RFQs: from drawing pin to purchase order](https://www.plantpilot.net/en/articles/spare-part-rfqs/): How multi-vendor quotes and frame contracts cut spare costs by 30% — and what your procurement department needs to know.
- [ESG reporting without the data collection exercise](https://www.plantpilot.net/en/articles/esg-reporting/): CSRD requires audited emission data. If your maintenance platform already meters every kWh, the report is a by-product.
- [Turnaround readiness: parts, docs, crews — one score](https://www.plantpilot.net/en/articles/turnaround-readiness/): 1,000+ people on site, 74 work packages, one window. Why readiness needs live data from procurement and documentation.
- [Product carbon footprint for process industries](https://www.plantpilot.net/en/articles/product-carbon-footprint/): From energy-carrier accounting to per-unit intensity: the data path from sensor to PCF.
- [TCO-optimized production: wear vs. output](https://www.plantpilot.net/en/articles/tco-optimized-production/): Maximum output at minimum wear is an operating point, not a compromise — if you can see both in one system.
- [Plant process analytics: what your historian already knows](https://www.plantpilot.net/en/articles/plant-process-analytics/): Most plants store years of operating data nobody looks at. Three analyses that pay for themselves in the first quarter.

## Legal
- [Impressum](https://www.plantpilot.net/en/imprint/)
- [Data Privacy](https://www.plantpilot.net/en/privacy/)

## FAQ (verbatim answers)
- **What exactly is PlantPilot?** PlantPilot is the plant platform for everyone who builds, services and runs an industrial plant. It has three layers: a collaborative as-built twin in which OEM, EPC, engineering partners and operator work together — from the P&ID to the purchase order; a data hub that turns the sensor data you already collect into predictive maintenance and predictive operations; and a TCO optimization that computes how to run the plant at the lowest total cost per unit — energy, material, maintenance and CO₂ included.
- **Who works in PlantPilot — only the operator?** No, that is the point. A plant is delivered by an OEM or technology provider, built by an EPC, changed by engineering offices and run by an operator — and each of them keeps its own drawings, status and data. In PlantPilot the party that is the brand on the plant (typically the OEM or main contractor) opens the twin and invites its EPC and engineering partners; the operator invites its service contractors. Everyone sees the same plant with the access they need.
- **What is the difference to a normal digital twin?** Most digital twins are a digital folder: a model of the plant that one company owns. PlantPilot's twin is collaborative and transactional — partners work in it, re-engineering requests and spare-part orders run through it, and it is connected to the data hub, so the plant's structure and its live behavior sit in one place. Digital twins from equipment vendors also rarely help you buy or re-engineer parts from someone else; PlantPilot is built for exactly that.
- **What is the story behind PlantPilot?** PlantPilot was born from real deployments: a plant-service platform built with Linde (PLANTSERV®) and proven with operators like Wacker, BASF and Westfalen. mantro, the company builder behind it, turned that experience into a product every OEM, EPC and operator can use.
- **Does PlantPilot work for old plants without 3D models?** Yes — that is the core use case. Scanned P&IDs and documents are classified by AI, components get tagged, and the plant receives a navigable digital file. 3D models are supported but optional. Most of our reference plants are brownfield sites with decades of paper documentation.
- **Which industries does PlantPilot support?** Everything that runs on P&IDs, rotating equipment and sensors: oil & gas, petrochemical and chemical sites, hydrogen, air separation, paper, general industrial manufacturing, life science, infrastructure, renewables, mining — and increasingly data centers and other large technical facilities. The platform adapts terminology, document types and compliance requirements per industry.
- **Is PlantPilot a replacement for our CMMS or ERP (SAP PM, Maximo)?** No — it is the layer your CMMS is missing. A CMMS manages work orders; PlantPilot adds the collaborative twin, the partner network, the data hub and the TCO optimization on top, and connects to your existing CMMS/ERP via APIs. Purchase orders can flow straight back into your ERP.
- **Does the AI control my plant?** No. PlantPilot is advisory: it reads operating data (read-only), recommends operating strategies toward proven optimal states, and your operators decide. Every recommendation is audit-logged. There is no write access to your DCS or SCADA at any time.
- **How long does onboarding take?** A proof of concept on one reference plant takes about 3 months: workshops, document upload, asset tagging, partner and vendor onboarding, and the first data-hub connection. Fleet rollouts follow plant by plant — each subsequent plant is faster because document classes, partner relations and data mappings are reused.
- **What documents do we need to provide?** Whatever exists: scanned P&IDs, vendor manuals, datasheets, skid packages, spare-part lists in Excel, old maintenance records. There is no minimum quality — the AI classification is built for heterogeneous, historically grown documentation. Gaps become visible systematically instead of during the next outage.
- **Does PlantPilot integrate with our ERP, CMMS and historian?** Yes. REST APIs and standard connectors cover the common landscape: SAP (PM/MM), CMMS systems, and read-only ingestion from historians, SCADA and OEM telemetry via OPC UA into the data hub. Predictive operations work on the data you already collect — no IIoT retrofit required to start.
- **Do we need new sensors to use PlantPilot?** No. The twin, spare parts and turnaround features work entirely without sensor data. The data hub uses historian, condition-monitoring and OEM data most plants already record — usually far more than anyone analyzes. Additional metering can be added later where the TCO business case demands it.
- **How does the 1-click spare-part process work?** Click a component in the drawing, see its parts and stock, request quotes from matched vendors — frame contracts are applied automatically — compare, and order. Obsolete or engineered parts go to the original OEM or EPC as a digital re-engineering request. Typical savings: around 30% on spare-part spend.
- **What happens if a part is obsolete or the vendor no longer exists?** PlantPilot sends a structured re-engineering request — including drawing excerpts and specifications — to the original OEM, EPC or qualified manufacturers, who work directly in the twin. Obsolescence management also works proactively: critical single-source parts are flagged before they become a problem.
- **How do vendors, OEMs and EPCs join the platform?** Through partner onboarding: qualification, product categories, delivery regions and engineering competences are stored once, then partners receive matching RFQs and re-engineering requests automatically. Quoting is free; a transaction fee applies only on successful orders. OEMs and EPCs can additionally open their whole installed base on the platform. See our partner page for details.
- **How does PlantPilot support a turnaround (TAR)?** With a live readiness score per work package: parts ordered and delivered, documentation complete, permits ready, crews mobilized — with the OEM's and EPC's engineering in the same workspace. Weak spots are visible months ahead — instead of being discovered in the shutdown window at seven-figure daily cost.
- **What is the Data Hub?** The layer that collects all sensor and actuator data of the plant — from the operator's historian and SCADA, from the OEM's telemetry, from condition monitoring — read-only and mapped to the components of the twin. On top of it, pattern recognition learns how the plant behaves: which states it runs best in, when it drifts, and which asset will fail next. That is predictive maintenance and predictive operations from data you already record.
- **What does TCO optimization mean in practice?** You tell PlantPilot the volume you have to produce in a given time. From the plant's own history it derives the operating strategy with the lowest total cost of ownership: energy per unit, material yield, wear and maintenance effort, downtime risk and CO₂ cost. The result is a recommended operating point and a quantified saving — typically 5–20% on energy and material per unit, plus less maintenance. In chemical plants, where energy and materials dominate input and output, these levers are significant.
- **Where does ESG reporting fit now?** Inside the TCO view. CO₂ is a cost like energy and material, and inefficiency shows up as both at once. Scope 1/2 reports per energy carrier and product carbon footprints per unit are generated from the same metered data, every figure traceable to a meter and timestamp — CSRD-ready, without a second data collection.
- **Are 5–20% savings realistic?** Pattern recognition over your own historian data identifies the operating states in which the plant ran best under comparable conditions and recommends how to reproduce them. Because recommendations are grounded in states your plant has actually achieved, they are credible and adoptable. 5–20% is the range across our reference plants; the exact figure depends on process type and energy intensity.
- **Is my data safe?** EU data residency, strict tenant isolation, read-only OT ingestion and a full audit trail — with an ISO 27001 / IEC 62443 certification roadmap. OT networks are never exposed: data flows one-way from historian to platform.
- **Who owns the data — and what do partners see?** The operator owns the plant documentation and operating data; the OEM owns its product data. Every partner sees exactly the scope it is granted: vendors only the RFQ-relevant excerpt, engineering partners the components they work on — never your full documentation, stock levels or consumption data.
- **What does PlantPilot cost?** Per-plant annual licenses (Base / Pro / Enterprise) plus a 2% transaction fee on marketplace orders. OEMs and EPCs that open their installed base get platform terms per fleet. Onboarding starts with a paid proof of concept — typically amortized within the first turnaround.
- **How fast does PlantPilot pay back?** The three layers compound: −30% on spare-part spend and up to −70% organization time from the shared twin, −20% unplanned downtime from predictive operations, and 5–20% lower cost per unit at the TCO optimum. Most operators reach payback within the first year — at the latest with the first turnaround prepared on the platform.

## Glossary
- **Anomaly Detection**: 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.
- **As-Built Documentation**: 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.
- **Brownfield**: 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.
- **CMMS**: 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.
- **Collaborative Plant Twin**: PlantPilot’s first layer: one as-built twin in which OEM, EPC, engineering partners and operator work together with role-based access — from the P&ID to the re-engineering request and the purchase order. Unlike a vendor’s digital twin, it is shared across companies and transactional.
- **Condition Monitoring**: 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.
- **CSRD / ESRS**: 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.
- **Data Hub**: PlantPilot’s second layer: all sensor and actuator data of a plant — historian, SCADA, condition monitoring, OEM telemetry — collected read-only from every party and mapped to the components of the twin. The foundation for pattern recognition, predictive maintenance and predictive operations.
- **DCS**: 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.
- **Digital Twin**: 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. In PlantPilot the twin is collaborative: every partner in the chain works in the same one.
- **Document Classification (AI)**: 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.
- **Energy Carrier**: 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.
- **EPC**: Engineering, Procurement, Construction — the companies that build a plant around the OEM’s core units, from global contractors to local engineering offices. With PlantPilot they work in the OEM’s twin, hand over an operation blueprint and stay in the value chain as service contractors.
- **ESG**: Environmental, Social, Governance — the framework investors and regulators use to assess non-financial performance. In PlantPilot the E is a by-product of TCO optimization: CO₂ is treated as a cost next to energy and material, and reports come from the same metered data.
- **Frame Contract**: 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.
- **Golden Batch**: 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.
- **Greenfield**: A plant built from scratch on a new site. Greenfield projects can be documented digitally from day one — hydrogen plants are the current showcase.
- **HAZOP**: 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.
- **Historian**: 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.
- **ISO 55000**: 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.
- **KKS / Tag Number**: 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.
- **MRO**: Maintenance, Repair and Operations — the global spend category PlantPilot addresses; over $600bn per year in the process industries.
- **MTBF / MTTR**: 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.
- **Obsolescence Management**: Systematically identifying parts and components that are no longer manufactured or supported — and securing re-engineering or alternatives before they stop the plant.
- **OEE**: Overall Equipment Effectiveness — availability × performance × quality. The standard metric for how much of a plant’s theoretical capacity is actually used.
- **OEM**: Original Equipment Manufacturer — the company that built a machine, core unit or component, often the brand on the whole plant while an EPC builds the rest. In PlantPilot the OEM opens the twin on its installed base, receives re-engineering requests digitally and turns one-time hardware into after-sales business.
- **OPC UA**: 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.
- **Operation Blueprint**: What an EPC hands over with PlantPilot instead of a digital binder: the as-built twin, the connected data hub and the plant’s proven operating model — so the operator knows from day one how the plant runs cheapest and most reliably.
- **Optimal State**: 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.
- **P&ID**: 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.
- **Product Carbon Footprint (PCF)**: The emissions attributable to one unit of product — increasingly demanded by industrial customers. Derived from per-carrier energy accounting allocated to production orders.
- **Predictive Maintenance**: Maintenance triggered by predicted failure windows (from anomaly detection on vibration, temperature, pressure) instead of fixed intervals or run-to-failure.
- **Predictive Operations**: The step beyond predictive maintenance: pattern recognition on the data hub learns the states in which a plant runs best, detects drift and recommends how to steer back — advisory-only, with operators in control. Predicts problems in the process, not only in the equipment.
- **Preventive Maintenance**: 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.
- **Readiness Score**: PlantPilot’s live aggregate of turnaround preparation: parts ordered and delivered, documentation complete, crews mobilized — one number per work package, system and TAR.
- **RFNBO**: 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.
- **RFQ**: Request for Quotation — in PlantPilot generated directly from the drawing: parts, drawing excerpt and quantities go to matched vendors; quotes come back comparable.
- **Run-to-Failure**: 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.
- **SCADA**: 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.
- **Scope 1 / 2 / 3**: 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.
- **TCO**: Total Cost of Ownership — the full cost of running a plant: energy, material, wear, maintenance, downtime and CO₂ per unit produced. PlantPilot’s third layer computes the operating strategy with the lowest TCO for a given production target — the honest metric for operating points and investments.
- **Technology Provider**: The licensor or OEM whose process or core unit defines a plant — the turbine, the cold box, the electrolyzer, the gas system — and whose name is on it, even though EPCs build most of it. PlantPilot’s natural platform owner.
- **Turnaround (TAR)**: A planned full shutdown for inspection and overhaul, typically every 4–6 years, mobilizing 500–2,000 external workers on site for several weeks.
- **Work Package**: 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.

## Optional
- [Full article texts](https://www.plantpilot.net/llms-full.txt)