SysML v2 + MCP is Next Level DE

Introduction

This tutorial provides a comprehensive guide on utilizing SysML v2 in conjunction with the Model Context Protocol (MCP) for advanced digital engineering. It highlights how these technologies enable seamless communication with engineering tools and automate processes, including requirements management, robotic simulations, and report generation.

Step 1: Understand SysML v2 and MCP

• Learn about SysML v2: SysML (Systems Modeling Language) v2 is an updated modeling language that enhances system engineering through better representation of system requirements and behavior.
• Explore the Model Context Protocol (MCP): MCP facilitates communication between different engineering tools and systems, allowing for automation and streamlined workflows.

Step 2: Access Requirements with SysML v2 REST API

• Use the SysML v2 REST API: This API allows you to interact with SysML models programmatically. To access requirements:
  • Implement authentication methods to connect securely.
  • Send HTTP requests to retrieve requirement data.
• Example of accessing requirements:

  GET /api/requirements
  

Step 3: Execute Tests with a Robotic Arm

• Integrate with the Robotic Arm: Connect SysML v2 with a physical robotic arm for real-time testing.
  • Ensure the robotic arm is configured correctly with the necessary drivers and software.
  • Use the SysML model to define the test scenarios for the robotic arm.
• Run test scenarios:
  • Send commands to the robotic arm via the API.
  • Monitor the execution and collect data on performance.

Step 4: Utilize DELMIA Robot Simulation App

• Simulate test scenarios: Use the DELMIA platform to visualize and simulate robotic actions.
  • Load your SysML models into the DELMIA environment.
  • Create simulation scenarios that mimic real-world operations.

Step 5: Generate Test Reports

• Automate report generation: Once tests are executed, compile results into reports.
  • Use the SysML v2 API to extract relevant data from the tests.
  • Format the data into a readable report structure.
• Example report generation code:

  def generate_report(test_results):
      # Format and save the report
      with open('test_report.txt', 'w') as f:
          f.write("Test Report\n")
          f.write("Results: " + str(test_results))
  

Conclusion

By leveraging SysML v2 and MCP, you can enhance your digital engineering processes, from managing requirements to executing tests and generating reports. This approach not only improves efficiency but also enables better integration with various engineering tools. For further learning, consider exploring the upcoming EDU Space online training on MBSE with digital engineering and robotic applications.