Spacecraft software is a complicated software system integrating many subsystems of different disciplines. Supporting on-orbit missions needs the knowledge of industrial information integration. To ensure mission success, reactive planning is a critical function in solving dynamic problems during task execution, relying on the knowledge of situation for optimal decision-making. However, it may unable to correctly identify the operational context in unexpected situations. This article solves the unexpected situation problem for reactive planning. It proposes a context-awareness model enhancement framework to identify the triggers of critical situations based on event evolution-based analysis. The framework includes the process of unexpected situation discovery, context identification, and context refinement. With this approach, preventive operational resilience can be achieved. Moreover, a symbiotic computing paradigm and a flexible inference engine are devised for addressing the on-orbit spacecraft-specific challenges. Also, an agent-based reactive system design and a system integration architecture is provided for implementing the proposed approach from both autonomy and information integration perspective. Experiment results show that the proposed approach is effective and efficient to solve the unexpected situation issue. This article offers a crucial insight to context-aware decision-support in space applications.

中文翻译：

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针对在轨航天器的意外情况加强情境感知反应规划

航天器软件是一个复杂的软件系统，集成了多个不同学科的子系统。支持在轨任务需要工业信息集成知识。为确保任务成功，反应性规划是解决任务执行期间动态问题的关键功能，它依赖于对情境的了解来做出最佳决策。但是，它可能无法在意外情况下正确识别操作上下文。本文解决了反应式计划的意外情况问题。它提出了一个上下文感知模型增强框架，以基于基于事件演化的分析来识别危急情况的触发因素。该框架包括意外情况发现、上下文识别和上下文细化的过程。通过这种方法，可以实现预防性的业务弹性。此外，还设计了一种共生计算范式和一种灵活的推理引擎来解决在轨航天器特定的挑战。此外，还提供了基于代理的反应系统设计和系统集成架构，以从自治和信息集成的角度实现所提出的方法。实验结果表明，所提出的方法对于解决突发情况问题是有效且高效的。本文为空间应用中的情境感知决策支持提供了重要见解。提供了基于代理的反应系统设计和系统集成架构，以从自治和信息集成的角度实现所提出的方法。实验结果表明，所提出的方法对于解决突发情况问题是有效且高效的。本文为空间应用中的情境感知决策支持提供了重要见解。提供了基于代理的反应系统设计和系统集成架构，以从自治和信息集成的角度实现所提出的方法。实验结果表明，所提出的方法对于解决突发情况问题是有效且高效的。本文为空间应用中的情境感知决策支持提供了重要见解。