Metallurgy Industry Solutions | Litmus Edge Data Platform | Ein Tool zum Definieren von Tags für die Litmus-Produktionsdatensatzdatenbank

METALLURGY
Run more reliable metallurgy operations with edge data
Litmus brings together OT and process data at the edge to detect instability early, improve reliability, and support faster, local decision-making across metallurgy operations.

Diverse OT environments across the process
Metallurgy plants run legacy PLC/SCADA and DCS systems, OEM platforms, historians, LIMS/QMS, and spreadsheets. Data is siloed across melt shop, casting, rolling, heat treatment, and utilities—making end-to-end visibility difficult.
High cost of downtime & process instability
Failures of critical assets—furnaces, converters, casters, rolling stands, drives, compressors—can cause scrap, rework, yield loss, missed delivery windows, and safety risk. Small process drifts often cascade into major quality and throughput issues.
Harsh environments & mixed asset types
Static infrastructure (furnaces, casters, mills, utilities) operates alongside mobile assets (cranes, AGVs, maintenance equipment). Instrumentation quality varies, signals are noisy, and connectivity is constrained, especially in older plants.
Lack of standard data models and tagging
OEM-specific tag naming and inconsistent asset hierarchies limit scalability. Without a Unified Namespace (UNS), common standards, and governance, analytics and reliability programs fail to deliver consistent results.

Collect & contextualize melt-to-finish data
Ingest OT and process data from DCS, PLC/SCADA, historians, OEM platforms, sensors, meters, and lab systems into Litmus Edge. Add production context—heat, batch, grade, route, line, stand, and events—to create a unified operational view.
Improve asset availability & reliability
Deliver clean, contextualized signals to APM and reliability workflows. Improve MTBF and MTTR, reduce unplanned downtime, and stabilize throughput across critical production assets.
Accelerate value without rebuilding architecture
Deploy Litmus alongside existing automation and enterprise systems without replacing control infrastructure. Standardize data pipelines once, reuse them across lines and sites, and scale analytics faster.
Enable governed visibility with UNS
Establish consistent asset and process models and enforce data standards at scale. Publish governed operational data to enterprise systems so operations, quality, energy, and maintenance teams share a single source of truth.

Multi-area standardization & governance
Operational challenges:

Inconsistent naming and asset models across areas and sites

Multiple stakeholders requiring controlled data access
How Litmus helps:

Establish a Unified Namespace aligned to plant assets and processes

Scale from one area to many using repeatable edge-to-enterprise patterns

Edge-first architecture by design
Run ingestion, contextualization, and analytics close to the process—where reliability and safety matter most.
Broad industrial & facilities connectivity
Connect heterogeneous DCS, PLC/SCADA, historians, OEM systems, meters, and sensors without heavy custom integration.
Built for enterprise scale & governance
Enable consistent models, tagging, and secure publishing of contextualized operational data across sites and systems.

Run more reliable metallurgy operations with edge data