Building industrial IoT systems with Unified Namespace
Share industrial data from OT to IT
Unified Namespace (UNS) is a centralized, hierarchical data structure that consolidates and standardizes operational data from an organization's diverse systems, devices, and applications. By enabling seamless data sharing across multiple sites and systems, it makes data available to the right people, in the right place, at the right time, and in the right format to improve operational efficiency and boost ROI in smart manufacturing and industrial automation.
The need for a Unified Namespace in Industry 4.0
Traditionally, ISA-95 was based on a hierarchical, pyramid-style architecture, where data flowed between layers, from the shop floor to enterprise systems. However, this model led to inefficiencies, silos, and scalability issues. With the advent of UNS, data from various systems is integrated into a single, unified structure, breaking down silos and enabling real-time, scalable communication across all levels.
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See a UNS in action in smart manufacturing
What are the benefits of a Unified Namespace?
Building a Unified Namespace (UNS) offers significant business benefits by streamlining data integration and enhancing interoperability across systems. Here are the key advantages:
Seamless IT/OT convergence
Scalable infrastructure
Improved data hierarchy
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Enable digital transformation
Building a Unified Namespace
A hierarchical naming structure makes it easier to locate and reference data across the enterprise.
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Benefits of building a Unified Namespace with HiveMQ
HiveMQ provides the ideal MQTT platform to build a Unified Namespace, offering key benefits over other solutions such as:
Enterprise data integration
Scalability and reliability
Observability and management
Enterprise-grade security
Unified Namespace reference architecture
The UNS provides real-time access and interoperability for production data, using hierarchical naming to categorize data systematically. This approach simplifies data access and enhances scalability, supporting efficient data retrieval and advanced analytics. It plays a crucial role in optimizing operations and enabling digital transformation.
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