Speaker
Description
The Einstein Telescope (ET) is a complex system consisting of numerous interacting subsystems that need to fulfill challenging requirements. As of now, information on the design of ET such as technical requirements or its product breakdown structure are managed through documents whose content is strongly interrelated. Since no digitally traceable link exists between these documents, their consistency cannot be assured. In the past, a Model-based Systems Engineering (MBSE) toolchain was developed that aims
to eliminate this shortcoming by storing and connecting the content of these documents
in a single digital system model using a specific set of rules (i.e. the method). In addition, MBSE accelerates product development as it makes the chains of effects transparent, supports design decisions and allows for early requirement verification by integrating
simulation models.
However, until now, the focus has been on toolchain development and integration. The transfer of legacy data has not been in the scope of this work. Therefore, in this presentation, it is demonstrated how the 2025 Design Task Force data is transferred into the MBSE toolchain. Using this data, the functional architecture of ET is derived. Furthermore, it is
demonstrated how the functional architecture can be used to identify and define interfaces between ET subsystems. In the future, the functional architecture will enable
the evaluation of different design alternatives in the future. This will make design decision more transparent and ensures an optimal design decision with regards to the
requirements.