Functional Mock-up Units (FMUs) in Simulation Models ??

Functional Mock-up Units (FMUs) in Simulation Models ??

Functional Mock-up Units (FMUs) offer a sophisticated approach for leveraging simulation models to create interactive apps, especially within the Python ecosystem. This method allows the sharing and integration of simulation models while maintaining their integrity and accessibility, without the need for software installations or licensing.

Understanding FMUs and their advantages

FMUs are standardized, tool-independent containers designed for simulation models. They encapsulate both the functionality and data of the model. By facilitating the integration of simulation models into diverse platforms, you can use them in various simulation environments without compatibility issues.

Incorporating FMUs with simulation models represents a significant advancement in making complex simulations more accessible and interactive. This approach not only preserves the integrity of the models, but also enhances their utility and reach.

Further, you can convert these models into apps to improve their accessibility. Configuring FMUs into apps provides users with an intuitive interface to explore and manipulate models in real-time. This makes the models available and attractive to a wider audience (such as stakeholders and collaborators) who may not have specialized software.

In a nutshell

  • Using FMUs for simulation models improves user engagement and understanding
  • Simplified integration into various simulation environments reduces the need for specialized software/extensive training for users
  • Converting FMUs to apps improves accessibility and makes it easier to share complex models with collaborators and stakeholders

How to start

  1. Begin by developing your simulation model using your preferred simulation tool.
  2. Export your model as an FMU to ensure it is portable and tool-independent.
  3. Utilize Python libraries such as fmpy to load and manipulate FMUs.
  4. Employ app frameworks like Streamlit, Marimo, Dash, or Panel to develop interactive web interfaces.
  5. Use platforms like Numerous (www.numerous.com) to host and share your apps effortlessly, extending your model's reach.

What is Numerous?

Numerous is a platform designed for hosting Python-based apps with frameworks like Streamlit, Marimo, Dash, and more. It takes care of all the complexities related to hosting and user management, so you can focus on developing your app. With a few keystrokes, your app is deployed and ready to be shared with your audience. You can easily invite users via the Numerous web interface, making collaboration straightforward and efficient.

You can visit Numerous to try out a simple app for uploading an FMU and run a simulation of it. If you're interested in accessing the source code, feel free to write to us directly at [email protected]. ??




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