Description: The proposed project is to demonstrate the feasibility of building a NLP/LLM based application that accelerates the generation of SysML models of complex space systems by smartly extracting information from textual descriptions, and transforming these into SysML model elements. One of the primary challenges in creating SysML models from textual technical documents is the diversity of document types, writing styles, and languages. NLP and LLMs can help address these challenges by employing advanced techniques for text preprocessing, entity recognition, and semantic analysis. NLP, a subfield of artificial intelligence, focuses on the interaction between computers and human language. It equips machines with the ability to understand, interpret, and generate human language, making it a valuable technology for processing unstructured textual information. Accelerating the development of SysML models is critical in order to support future space missions by making model development cost effective. NASA centers are using Model Based System Engineering (MBSE) and creating Systems Modeling Language (SysML) representations of their systems, following best Systems Engineering practices. These models are difficult and expensive to develop. NASA MBSE based system engineering development could be dramatically more efficient through the use of a toolset that can automatically generate the various SysML models from textual descriptions such as requirements documents, concept of operations, Design Reference Mission (DRM) and other technical descriptions. Such a toolset can be applied to a wide range of projects within NASA centers and could be adapted to other agencies and industries that are using the MBSE approach.

Benefits: NASA's Gateway and Artemis program as well as its ambitious program of innovative planets robotics missions will rely on effective MBSE effort. The Phase I proposed concept will be developed to support new manned space vehicles and planetary surface habitats that NASA plans to develop, as well as Lunar habitat and advanced ISRU structures and robotics systems. In the short term, the system can be used for NASA projects such as CubeSAT missions, Lunar Rovers, advanced life support systems, and Crew Health and Performance system.In the commercial arena, the concept can be used in a broad range of areas, such as automotive, airline and power plant systems. This type of technology can be adapted to these different domains and provide benefits similar to those provided to NASA. During Phase II of this project, we will be able to ensure that the technology developed is also well adapted to these potential customers. Tietronix is currently working on multiple advanced solar power generating plants that use concentrated solar energy to produce electricity. The costs involved in building these plants are over $1 Billion. Relatively small efficiency improvements in their workflow that Tietronix' technology can provide translate into significant cost savings. During Phase II of this project, the company will be able to ensure that the technology developed is also well adapted to these potential customers. In the DoD, Tietronix intends to engage with programs that are interested in using the auto-generation of SysML models.