UNS (Unified Namespace)
The Unified Namespace (UNS) is an enterprise-grade architectural approach that consolidates dispersed production and OT data streams onto a single digital backbone. Within the MaestroHub environment, UNS is operated with contextual data modelling, continuous synchronisation, and multi-channel distribution capabilities.
Snapshot: UNS turns raw shop-floor signals into readable context so every team can make decisions from the same source of truth.
Value of UNS
Real-Time Visibility
A single broadcast layer collects data flowing from sensors to business applications, making it easy to track production performance, quality indicators, or maintenance needs in real time.
Contextual Order
A topic hierarchy that spans plant, line, station, and device levels adds context to every data point, answering “what value came from where?” in seconds.
Flexible Sharing
Once data enters the UNS backbone it can be consumed by dashboards, reporting tools, or third-party solutions without re-building integrations.
Shared Vocabulary
Production, maintenance, energy, and management teams follow the same naming standards. This shared dictionary accelerates collaboration and simplifies decision making.
Usage Perspectives
| Perspective | Focus | Benefit |
|---|---|---|
| Performance Management | Production rate, quality ratios, downtime | Enables proactive instead of reactive decisions |
| Digital Twin | Digital tracking of processes and equipment | Supports synchronous modelling and scenario analysis |
| Operational Excellence | Maintenance, energy, quality operations | Gives single-platform data access |
| Enterprise Sharing | Cloud analytics and AI services | Delivers secure, controlled data flow |
UNS Data Lifecycle
Ingestion and Enrichment
Signals from field devices, production lines, and business applications are consolidated under UNS rules. Each record is standardised while preserving its context and is moved into a unified data model.
Modelling and Naming
Visual mapping rules align fields from different sources to a common structure. Whenever new information is added, the hierarchy is automatically validated and missing nodes are completed to keep the structure consistent.
Continuous Freshness
Real-time events trigger the creation of required nodes within the UNS tree, safeguarding data integrity for both live and historical views.
Managing the Topic Hierarchy
The UNS topic tree spans from plant-level groupings down to individual devices. Users can explore the hierarchy, add new nodes, edit existing ones, or restore archived branches. Standard naming keeps production, maintenance, and management teams aligned.
Data Retention and Lightweight Deployments
Enterprise operations: Time-series and archival data reside in enterprise databases, separating hot and cold layers to handle high volumes.
Lightweight scenarios: Embedded storage options enable fast startup without external databases, reducing operational overhead.
Log management: Logs live in a lightweight store with full-text search and automated retention policies to control disk usage.
Search tier: High-scale deployments and lightweight footprints share the same search API, even though the underlying engines differ.
Metric visibility: Metrics can remain in-memory or be exported to standard observability stacks when required.
Shared Data Flows
UNS data is shared with external consumers through configurable profiles. Messaging pipelines, file-based transfers, or diagnostic flows are steered from the same console. Profiles can be enabled, disabled, or validated via connection tests, while auto-reconnect keeps streams alive.