A deep-dive into the COGNIMAN architecture

< 1 min to read

Smart manufacturing optimises production through the integration of advanced technologies. In collaboration with the project partners, NORCE, Montimage and SINTEF have driven the definition of the COGNIMAN architecture as a new solution in Industry 5.0, emphasising sustainability through efficient manufacturing processes.

An architecture in this context refers to the overall structure and framework of the COGNIMAN system. It outlines how different components and technologies are organised and interact within the system. Defining an architecture is important to provide a skeleton for building the system, ensuring that all parts work together to achieve the desired manufacturing objectives.

By defining the COGNIMAN architecture, we establish a clear understanding of how the system will function and how it will integrate with existing manufacturing processes. The novelty is that COGNIMAN includes the latest technology like sensors, robots, digital twins, simulations, machine learning and human-centric design for different use cases identified.

Layers of architecture

Physical twin: Represents real-world entities and processes, such as machinery and equipment.

Data layer: Manages raw data collected from sensors and other sources.

Digital twin: Creates a virtual replica of the physical twin using real-time data.

Service layer: Provides functionalities and services, including analytics and simulations.

User interface: Enables human interaction and monitoring of the digital twin.

Connectivity and integration: Facilitates data exchange between system components and external systems.

Ethics: Ensures responsible and ethical use of data, addressing privacy and security concerns.

This innovative system design helps factories adapt to different needs, making them more flexible, resilient, safe and sustainable. Furthermore, the COGNIMAN architecture’s modular and service-based design extends its applicability to various fields and will be validated in the four use cases of the project.

Scroll to Top
Copy link