随着物联网和无人装备技术的持续进步，无人体系的发展已达到前所未有的高度。尽管先前研究主要关注无人体系韧性的时序特性，但空间变化仍未得到充分探索。然而，无人体系在执行任务时可能涉及动态交战和频繁的空间变迁，这会对数据层中的信号通讯过程产生干扰。虽然无人体系的任务性能主要由时间因素决定，但空间演变影响了数据层的传输稳定性。因此，评估无人体系性能的时空演变至关重要。为应对这些挑战，本研究提出一种时空韧性的评估框架，该框架从时间和空间两个维度评估无人体系的韧性。此外，我们提出了时空韧性优化方案，旨在增强无人体系在任务全生命周期中的适应性，侧重预防与恢复过程的研究。最后，我们通过采用正六边形部署的无人体系案例验证了本研究所提概念和方法的有效性。结果表明，时空韧性更能反映无人体系的空间变化特征，所提出的优化策略使无人体系的预防时空韧性、恢复时空韧性和全过程时空韧性分别提升了0.22%、8.39%和11.29%。

As advancements in the Internet of Things (IoT) and unmanned technologies continues to progress, the development of unmanned system of systems (USS) has reached unprecedented levels. While prior research has predominantly examined temporal variations in USS resilience, spatial changes remain underexplored. However, USS may involve kinetic engagements and frequent spatial changes during mission execution, affecting signal interference in data layer communications. Although time-dependent factors primarily govern mission effectiveness of the USS, spatial factors influence the transmission stability of the data layer. Consequently, assessing spatiotemporal variations in USS performance is critical. To address these challenges, this study introduces a spatiotemporal resilience assessment framework, which evaluates USS resilience across both temporal and spatial dimensions. Furthermore, we propose a spatiotemporal resilience optimization scheme that enhances system adaptability throughout the mission lifecycle, with a particular emphasis on prevention and recovery strategies. Finally, we validate the validity of the proposed concepts and methods with a case study featuring a regular hexagonal deployment of USS. The results show that the spatiotemporal resilience can better reflect the spatial change characteristics of USS, and the proposed optimization strategy improves the prevention spatiotemporal resilience, recovery spatiotemporal resilience and entire-process spatiotemporal resilience of USS by 0.22%, 7.8% and 11.3%, respectively.