International Conference on Space Operations (SpaceOps) 2023, pp.1-6
Language
English
Type
Conference Paper
Abstract
Modern Mission Planning and Scheduling Systems (MPS) generally provide autonomous scheduling capabilities such as conflict detection, conflict resolution and optimization. To perform the scheduling efficiently, operators need to build proper scheduling rules a priori. However, as the missions are getting complex, traditional rule DBs containing only static information (e.g., relations among mission entities) cannot satisfy various user requirements. Thus, dynamic rule setup methods (e.g., based on a script language such as Python) have been adopted for various space missions. But in many cases, the programming language (e.g., .NET/C#) used for developing the MPS software itself is different from the rule setup script language (e.g., Python). This language discrepancy sometimes brings development burdens to developers since various interfaces are required for adaptation. In this paper, we introduce a Code Document Object Model (CodeDom) based flexible and powerful rule setup methodology for .NET framework and show that the C# based rule setup method reduces the software development complexity.
KSP Keywords
Conflict detection, Document Object Model, NET Framework, Scheduling rules(SRs), Script language, Software development complexity, Space missions, User Requirements, conflict resolution, mission planning, planning and scheduling
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