DeepLynx MATLAB Adapter

The Challenge

Users working with MATLAB simulations often operate in isolation from external data systems, requiring manual data transfers and limiting real-time integration. Without a standardized interface, connecting MATLAB with digital twin platforms like DeepLynx involves building custom solutions. This gap restricts collaboration between data environments and simulation tools, hindering the broader use of digital twins in modeling workflows.

How It Works

• The DeepLynx MATLAB Adapter is a Python-based application that interfaces between DeepLynx and MATLAB.

• Upon receiving events from DeepLynx, the adapter updates MATLAB workspace variables in a specified .m script.

• It then triggers execution of the MATLAB input file.

• Output from the MATLAB simulation is returned to DeepLynx, making it accessible to other applications or processes within the system.

• This enables a feedback loop between DeepLynx data and MATLAB-based simulations.

Key Advantages

• Enables MATLAB users to directly integrate DeepLynx data into simulation workflows.

• Automates data flow between DeepLynx and MATLAB, removing the need for manual file transfers.

• Supports bidirectional communication—results from MATLAB are returned to DeepLynx.

• Increases the appeal of DeepLynx to simulation teams that rely on MATLAB environments.

• Lowers the barrier to entry for MATLAB users within the DeepLynx ecosystem.

Market Applications

• Engineering Teams: Run simulation-based control or diagnostics models using real-time DeepLynx data.

• Academic Research: Integrate MATLAB-based modeling into broader digital twin environments.

• Simulation Developers: Automate the use of DeepLynx as both a data source and destination in simulation workflows.

• MATLAB-Centric Users: Extend existing MATLAB tools by connecting them to a structured data warehouse.

This software is open source and available at no cost. Download now by visiting the product's GitHub page.