What is it about?
Engineers tend to work in many different tools, with each tool specializing in a particular area. While these tools may be necessary, it can be difficult to get these tools to talk to each other. Manually moving data from one tool to another takes a lot of time and can lead to mistakes. It also becomes difficult for engineers to see the big picture when designing a complex product. This paper presents an approach to connect data across multiple tools, use this connected data to automate simulations, and ensure that the data remains consistent. We demonstrate this on a cubesat design project.
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Photo by SpaceX on Unsplash
Why is it important?
Addressing the need for engineering tools to work together is crucial in systems engineering. Often, we need to be able to define and review a complete thread of data across multiple tools. This goes beyond traceability, and is more focused on the ability to access the entire project dataset in a way that enables comprehensive analysis. Although considerable research is being undertaken in this area, the issue has not been resolved. Tool and data interoperability remains one of the largest obstacles in the advancement of systems engineering. The approach presented in this paper contributes to this objective.
Perspectives
I believe this paper to be a great example of how tool and data interoperability can lead to benefits in systems engineering projects. The example provided is relatively simple, and we hope that it provides readers with a clear view of the approach and the potential benefits as we scale up.
Joe Gregory
University of Arizona
Read the Original
This page is a summary of: Spacecraft Test and Evaluation using Semantic Web Technologies, January 2024, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/6.2024-0483.
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