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Welcome to Flowcean

Flowcean is an advanced, versatile framework designed to streamline the automatic generation of models for cyber-physical systems (CPS). Whether you are developing solutions for smart grids, autonomous vehicles, or industrial automation, Flowcean provides a higher-level abstraction to generalize the learning and modeling approach for CPS across various domains.

What is Flowcean?

Flowcean is designed to simplify and accelerate the process of creating, deploying, and managing models for cyber-physical systems. Here’s what Flowcean can do:

  • Automatic Model Generation: Flowcean automates the creation of models tailored to cyber-physical systems, allowing you to focus on refining performance rather than starting from scratch.
  • Domain-Agnostic Flexibility: Generate models for diverse domains, whether you’re working offline, incrementally, or through active learning approaches.
  • Custom Data Environments: Integrate your project-specific data sources seamlessly, enabling personalized modeling.
  • Comprehensive Evaluation: Evaluate your models with standard metrics or extend the framework to include your own custom evaluation.
  • Python-Based with gRPC Interface: Flowcean is written in Python and allows easy connection to any learning algorithm via a gRPC interface, providing flexibility and compatibility with your existing toolchains.

Why Flowcean?

Flowcean stands out as the go-to framework for cyber-physical system modeling for several reasons:

  • Unified Framework: Manage every aspect of CPS modeling under one roof, reducing complexity and increasing efficiency.
  • Extensibility: Easily extend Flowcean across various learning strategies, whether you're working with traditional machine learning methods or cutting-edge techniques.
  • Modular and Customizable Pipelines: Compose and customize machine learning pipelines from a modular toolbox, tailoring solutions to your specific needs.
  • Reusable Models: Save and reuse your models for future predictions, enhancing productivity and consistency across projects.

Getting Started with Flowcean

Getting started with Flowcean is simple. To install the framework, use the following command:

pip install flowcean

For a more detailed guide on setting up your first project, visit our Getting Started page.

Citation

If you use Flowcean in your research or project, please consider citing the following references:

  • Towards the Automatic Generation of Models for Prediction, Monitoring, and Testing of Cyber-Physical Systems, 28th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2023), Sinaia, 12.09. – 15.09.2023