Nebula Public Library

The Integrated MBSE Analytics Platform (IMAP) has been developed in the course of the OSIP [OSIP] MBSE campaign’s MBSE2DataLake project. It demonstrates how MBSE data can be downstreamed from early phases and integrated with Telemetry data or system operations data. Applying MachineLearning analytics and customized visualization on these sets of integrated data provides seamless analysis capabilities and data browsing experience for the user. The approach leads to linking the former separated domains of System Design and AIT/Operations.

This activity investigates how mega-constellations can be used to provide low-Earth orbit (LEO) spacecraft with broadband low-latency services, a novel Concept with potential to disrupt spacecraft design, operation, and performance by allowing spacecraft to access mega-constellations’ enormous resources (Tbit/s throughputs) and global coverage at a lower cost than traditional data relay systems and ground station networks (two to fifty times cheaper, that is, a few hundred to a few thousand dollars per month for a daily net capacity from hundredths of Gbit up to almost ten Tbit).

For long-term studies, numerical simulations are at the center of predicting the space debris environment of the upcoming decades. In the scope of the study, the authors present the architecture and proof-of-concept results for a numerical simulation capable of modeling the long-term debris evolution over decades with a deterministic conjunction tracking model in contrast to typically employed Monte Carlo methods. For the simulation, an efficient propagator in modern C++ accounting for Earth’s gravitational anomalies, solar radiation pressure, and atmospheric drag was developed.

The BIOINSPACED project was initiated to find bio-inspired solutions for space debris removal because the identification, orbital alignment, capture and removal of uncooperative bodies in space is incredibly complex and no fully functioning method is available to date. Biology and its evolved mechanisms often provide specialized concepts that show great transferability to technical systems.