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Akronym
AuRelia
Projekt Titel
Autonomes und zuverlässiges SCG-Sensorsystem für die bemannte Raumfahrtmission
Funding code
945.02-014
Startdatum
August 1, 2023
Enddatum
July 31, 2025
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Institut
Projektleitung
Co-Projektleitung
Rahman, Kazi Mohammad Abidur
The challenges of dealing with health sensors on lunar missions are associated with factors such as strong sensor autonomy and extremely high reliability. In AuRelia, these challenges are primarily addressed for SCG (Seismocardiography) sensors. Furthermore, AuRelia serves as a foundation for further fundamental research on SCG, as it marks the first investigation into artifact formation on SCG.
A scenario analysis for space conditions, along with thorough component selection, is undertaken to counter potential influences from cosmic radiation. A Mixed-Criticality Design is developed to mitigate effects directly at the hardware level. Data and signal processing paths are additionally secured, and mechanisms for anomaly detection, self-testing, and data encoding are combined into an FDIR (Fault-Detection, Fault-Isolation, and Recovery) system tailored to the sensor system.
Moreover, an extension for clock-synchronous fusion of acceleration and angular velocity data is implemented to enable artifact formation evaluation. The sensor is intended to be highly integrated and portable, making autonomy another key focus of AuRelia. Mechanisms to reduce power loss are developed and integrated, considering enhanced efficiency for data processing and FDIR.
Ultimately, data forwarding is established by connecting to a data sink, allowing the data to be utilized in further platforms, such as health platforms. The entire development process is continuously accompanied by technical evaluations that consider autonomy and reliability equally. Additionally, a concurrent application-specific evaluation is conducted with expertise in cardiology.
Scientifically, artifact formation is consistently considered during development and evaluations. The project concludes with early planning and execution of a parabolic flight campaign.
A scenario analysis for space conditions, along with thorough component selection, is undertaken to counter potential influences from cosmic radiation. A Mixed-Criticality Design is developed to mitigate effects directly at the hardware level. Data and signal processing paths are additionally secured, and mechanisms for anomaly detection, self-testing, and data encoding are combined into an FDIR (Fault-Detection, Fault-Isolation, and Recovery) system tailored to the sensor system.
Moreover, an extension for clock-synchronous fusion of acceleration and angular velocity data is implemented to enable artifact formation evaluation. The sensor is intended to be highly integrated and portable, making autonomy another key focus of AuRelia. Mechanisms to reduce power loss are developed and integrated, considering enhanced efficiency for data processing and FDIR.
Ultimately, data forwarding is established by connecting to a data sink, allowing the data to be utilized in further platforms, such as health platforms. The entire development process is continuously accompanied by technical evaluations that consider autonomy and reliability equally. Additionally, a concurrent application-specific evaluation is conducted with expertise in cardiology.
Scientifically, artifact formation is consistently considered during development and evaluations. The project concludes with early planning and execution of a parabolic flight campaign.