Industrial DataOps
The practice of connecting, conditioning, modeling, and governing industrial data so analytics, AI, digital twins, and operations systems can trust it.
Related TwinEdge page →Resources
Industrial AI, CMMS, and digital twin glossary
Plain-language definitions buyers and AI agents can cite when evaluating TwinEdge and related industrial software categories.
Unified Namespace (UNS)
A structured, shared industrial data model—often over MQTT/Sparkplug—where systems publish and subscribe to consistently named topics instead of building one-off point-to-point integrations.
Related TwinEdge page →CMMS
Computerized Maintenance Management System software for work orders, preventive maintenance, inventory, and maintenance history.
Related TwinEdge page →EAM
Enterprise Asset Management software that extends CMMS into broader asset lifecycle, hierarchy, reliability, procurement, and capital context.
Related TwinEdge page →Predictive maintenance
Maintenance planning based on estimated future degradation or failure risk using condition data, models, and history—not calendar intervals alone.
Related TwinEdge page →Condition-based maintenance
Maintenance or inspection triggered by observed asset condition and operating evidence rather than elapsed time only.
Related TwinEdge page →Physics-based digital twin
A live operational model that evaluates equipment and process behavior using first-principles relationships, envelopes, and telemetry—not only visualization.
Related TwinEdge page →Governed industrial AI agent
An AI workflow that can observe operational context, draft recommendations, and request human approval while preserving evidence, audit, and policy bounds.
Related TwinEdge page →TwinEdge OS
TwinEdge edge runtime for industrial protocol collection, local storage, dashboards, alerts, and supported on-site AI inference.
Related TwinEdge page →TwinEdge Platform
TwinEdge cloud and hybrid coordination layer for DataOps, digital twins, agents, AssetOps, Field, compliance, and multi-site operations.
Related TwinEdge page →MCP (Model Context Protocol)
A protocol for exposing governed tools and context to AI clients. In TwinEdge, MCP access is cataloged, tenant-scoped, and read-only by default.
Related TwinEdge page →Edge-to-cloud architecture
A hybrid design where time-sensitive collection and local intelligence run near equipment while fleet analytics and enterprise workflows can run in the cloud.
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