Phoenix Integration presents at the NDIA 22nd Annual Systems and Mission Engineering Conference | Tampa, FL | USA
Phoenix Integration is presenting at the NDIA 22nd Annual Systems and Mission Engineering Conference in Tampa, Florida, USA.
Attend our Technical Presentation: Pushing the State of the Art: A Web-Enabled MBSE Analysis Integration Framework, presented by Dr. Andy Ko, Director, Engineering Services on Wednesday, October 23, 2019, at 4:30 pm in the Bayshore Ballroom II.
Model Based Systems Engineering (MBSE) has been increasingly embraced by both industry and government to keep track of system complexity. MBSE allows the engineer to represent the system in a comprehensive computer model, allowing for better traceability, tracking, and information consistency.
The vision and promise of MBSE is one where systems models and analyses are tightly integrated in an automated, collaborative, easily accessible, and secure framework. However, the current state-of-the-art falls short of this promise due to a significant gap between MBSE tools and their integration with analysis tools.
Phoenix Integration developed a prototype framework that would help realize the vision and promise of MBSE. This prototype framework is web-based and uses existing tools and frameworks already deployed and being used by industry. At the center of the framework is the connection between No Magic Teamwork Cloud Server and ModelCenter MBSE. Teamwork Cloud Server is a web-based MBSE collaboration platform, while ModelCenter MBSE is a next generation MBSE analysis integration tool currently being commercially developed at Phoenix Integration. This framework also connects to distributed or high-performance computing resources for quick analysis execution, as well as a continuous integration server for automated execution in response to a model change.
In addition to being able to interact with the systems model through a web environment, the user is able to execute the associated analyses and workflows using information from the systems model. Automatic requirements verification can be performed through automated analysis execution whenever a change in the systems model is detected. Results can be displayed on a web-enabled dashboard, together with interactive charts and plots to help visualize results and data.