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Run Watchers: Automatic Simulation-Based Decision Support in Flood Management

机译:运行观察者:洪水管理中基于自动模拟的决策支持

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摘要

In this paper, we introduce a simulation-based approach to design protection plans for flood events. Existing solutions require a lot of computation time for an exhaustive search, or demand for a time-consuming expert supervision and steering. We present a faster alternative based on the automated control of multiple parallel simulation runs. Run Watchers are dedicated system components authorized to monitor simulation runs, terminate them, and start new runs originating from existing ones according to domain-specific rules. This approach allows for a more efficient traversal of the search space and overall performance improvements due to a re-use of simulated states and early termination of failed runs. In the course of search, Run Watchers generate large and complex decision trees. We visualize the entire set of decisions made by Run Watchers using interactive, clustered timelines. In addition, we present visualizations to explain the resulting response plans. Run Watchers automatically generate storyboards to convey plan details and to justify the underlying decisions, including those which leave particular buildings unprotected. We evaluate our solution with domain experts.
机译:在本文中,我们介绍了一种基于仿真的方法来设计洪水事件的保护计划。现有的解决方案需要大量的计算时间才能进行详尽的搜索,或者需要耗时的专家监督和指导。我们基于对多个并行仿真运行的自动控制提出了一种更快的替代方案。 Run Watchers是专用的系统组件,有权根据特定领域的规则监视模拟运行,终止模拟运行并从现有运行中启动新运行。由于重新使用了模拟状态并提前终止了失败的运行,因此该方法可以更有效地遍历搜索空间并提高整体性能。在搜索过程中,Run Watchers会生成大型而复杂的决策树。我们使用交互式的群集时间线可视化Run Watchers制定的整个决策集。此外,我们还提供了可视化效果来解释最终的响应计划。 Run Watchers会自动生成情节提要,以传达计划详细信息并论证基础决策,包括那些使特定建筑物不受保护的决策。我们与领域专家一起评估我们的解决方案。

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