During the last five decades, DLR/GSOC has been responsible for the preparation and execution of many manned and unmanned space missions. Effective and professional planning for the spacecraft as well as related on-ground activities always is an essential factor for the mission success.
Mission planning is a highly complex process which comprises
On the one hand, the experienced scientists of the GSOC mission planning team have developed an own generic planning system for the optimization and coordination of all activities onboard a spacecraft. It is continuously enhanced by adopting new planning concepts to meet new requirements. This can mean updates on a short notice for already acitve systems by adaptations of the configuration of planning rules and constraints, but also changes in the overall design for long-term projects.
On the other hand, the mission planning team often develops and operates additional project-specific software components that fit the respective mission needs and together with or based on the generic components form the mission planning systems of these missions.
The generic GSOC planning system is a well-established and well-proven tool suite,
This tool suite can be configured in various ways to serve a broad range of mission requirements. Its main components are:
This tool suite is continuously enhanced. Moreover, the GSOC mission planning team is also engaged in the new development of mission planning software on the following fields:
In addition to the generic tool suite, the mission planning team at GSOC develops the mission planning systems for various missions, and here is involved in all mission phases from the preparation and requirements identification via design, implementation and tests up to the routine operations with ongoing feature enhancements. A list of missions and similar projects supported in the past, present and future can be found here.
Furthermore, the mission planning team together with others in the department for Mission Operations works on the development of different software tools for visualization of and anomaly detection in telemetry data:
The web front-end ViDA (Visual Data Analysis) here will provide access to the visualization of huge amounts of telemetry data by the already existing tool RootVis as well as the functionalities of ATHMoS (Automated Telemetry Health Monitoring System), which implements newest data mining algorithms and machine learning techniques for an automated detection and, in best case, also prediction of anomalies.