Modern industrial plants generate enormous amounts of operational data through systems such as SCADA, PLCs, industrial historians, and distributed control systems. These systems capture critical information about asset status, process variables, production, energy consumption, and operational performance.

However, in most industrial organisations, this data remains isolated within the OT systems that generate it. Each system maintains its own data model, interfaces, and access mechanisms, resulting in operational information being fragmented across multiple platforms that are not designed to share data in a structured manner.

This fragmentation has a direct impact on digital transformation initiatives. Advanced analytics, industrial artificial intelligence, and operational optimisation projects require continuous and structured access to plant data, but in many cases, each new initiative involves developing specific integrations with existing systems.

As a result, organisations end up building complex architectures based on point-to-point integrations that are difficult to scale, maintain and govern. The information exists, but it is not organised within a data architecture that allows it to be used efficiently.

Limitations of the traditional approach

Traditionally, integration between OT and IT systems has been achieved through direct connections between applications. A SCADA can export data to a database, a historian can feed a reporting tool, or an analytical application can connect directly to a specific industrial system.

This approach creates highly coupled architectures where each new system requires a new integration. Over time, the organisation ends up managing dozens of independent integrations that create technical dependencies that are difficult to maintain.

Furthermore, many of these integrations do not follow a common data model. Each system interprets information differently, making it difficult to reuse data and complicating the development of new applications based on operational information.

This model limits the ability of organisations to build modern data-driven industrial platforms, as access to operational information remains complex and not very scalable.

The Nasatech solution

Nasatech Industrial Data Fabric proposes an OT/IT convergence architecture based on the concept of Unified Namespace (UNS) and the use of industrial MQTT brokers as the core of data distribution.

The solution creates an architectural layer that allows data generated by existing industrial systems to be captured and structured within a common model accessible to the organisation’s entire digital ecosystem.

Instead of multiple point-to-point integrations, all systems publish and consume information through a unified data space managed by an MQTT broker. This approach allows applications to be decoupled, simplifies the architecture and creates a much more scalable industrial data infrastructure.

Data from systems such as SCADA, historians or field instrumentation is captured, structured according to standardised industrial models and published within the Unified Namespace, where it is available to any authorised application.

In this way, plant data is no longer isolated and becomes part of a structured digital architecture that connects the operating environment with corporate data platforms.

Technical Architecture

The architecture of Nasatech Industrial Data Fabric is structured in several layers that allow industrial data to be captured, structured and distributed efficiently.

The first layer corresponds to data capture in the OT environment. This layer integrates existing industrial systems, including PLCs, SCADA, industrial historians and field instrumentation signals. These signals can come from 4-20 mA analogue sensors, Modbus devices or other industrial protocols commonly used in automation environments.

Once captured, the data undergoes a normalisation and structuring process following industrial models aligned with ISA-95. This structure allows the information to be organised according to the plant’s operational hierarchy, including company, plant, area, production line, asset and sensor.

The Unified Namespace is built on this structure, digitally representing all industrial assets and processes within a coherent data space.

At the core of this architecture is the industrial MQTT broker, which acts as the central mechanism for publishing and subscribing to information. All systems publish their data within the namespace, and any authorised application can subscribe to the information it needs without the need to create direct integrations.

Finally, IT environment applications — such as advanced analytics platforms, corporate data lakes, MES systems, or artificial intelligence tools — can consume this data in a secure and structured manner.

Operational benefits

The implementation of an architecture based on Unified Namespace and MQTT brokers transforms the way organisations manage their industrial data.

Data generated on the plant floor is no longer isolated in individual systems but becomes part of a common data architecture accessible to the organisation’s entire digital ecosystem.

This facilitates the development of new digital capabilities such as predictive maintenance, process analytics, energy optimisation, and industrial artificial intelligence, without the need to develop specific integrations for each project.

Furthermore, by eliminating point-to-point integrations, the architecture becomes much more flexible and allows new technological applications to be incorporated quickly and scalably.

Conclusion

The convergence between OT and IT requires more than just connecting industrial systems to digital platforms. It requires an architecture that allows operational data to be structured and distributed in a consistent and scalable manner.

Nasatech Industrial Data Fabric uses Unified Namespace and MQTT brokers to create a modern industrial data infrastructure capable of capturing information from existing systems and converting it into a solid foundation for the development of advanced digital capabilities within the organisation.