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首页> 外文会议>Ground/air multisensor interoperablity, integration, and networking for persistent ISR IV ; Open architecture/open business model net-centric systems and defense transformation 2013 >A System Architecture for Decision-making Support on ISR Missions with Stochastic Needs and Profit
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A System Architecture for Decision-making Support on ISR Missions with Stochastic Needs and Profit

机译：具有随机需求和利润的情监侦任务决策支持的系统架构

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摘要

In this paper, we propose a system architecture for decision-making support on ISR (i.e., Intelligence, Surveillance, Reconnaissance) missions via optimizing resource allocation. We model a mission as a graph of tasks, each of which often requires exclusive access to some resources. Our system guides users through refinement of their needs through an interactive interface. To maximize the chances of executing new missions, the system searches for pre-existent information collected on the field that best fit the needs. If this search fails, a set of new requests representing users' requirements is considered to maximize the overall benefit constrained by limited resources. If an ISR request cannot be satisfied, feedback is generated to help the commander further refine or adjust their information requests in order to still provide support to the mission. In our work, we model both demands for resources and the importance of the information retrieved realistically in that they are not fully known at the time a mission is submitted and may change overtime during execution. The amount of resources consumed by a mission may not be deterministic; e.g., a mission may last slightly longer or shorter than expected, or more of a resource may be required to complete a task. Furthermore, the benefits received from the mission, which we call profits, may also be non-deterministic; e.g., successfully localizing a vehicle might be more important than expected for accomplishing the entire operation. Therefore, when satisfying ISR requirements we take into account both constraints on the underlying resources and uncertainty of demands and profits.
机译：在本文中，我们提出了一种通过优化资源分配为ISR（即情报，监视，侦察）任务提供决策支持的系统架构。我们将任务建模为任务图，其中每个任务通常都需要对某些资源的独占访问权。我们的系统通过交互式界面指导用户优化需求。为了最大程度地执行新任务，系统会搜索在现场收集的最适合需要的信息。如果此搜索失败，则会考虑一组代表用户需求的新请求，以最大程度地提高有限资源所约束的整体收益。如果不能满足ISR请求，则会生成反馈以帮助指挥官进一步完善或调整其信息请求，以便仍然为任务提供支持。在我们的工作中，我们对资源需求和现实获取的信息的重要性进行了建模，因为在提交任务时这些信息尚不完全清楚，并且在执行过程中可能会随着时间而变化。特派团消耗的资源量可能不确定。例如，任务的持续时间可能比预期的时间长或短，或者完成任务可能需要更多的资源。此外，从任务中获得的收益（我们称为利润）也可能是不确定的；例如，成功完成车辆定位对于完成整个操作可能比预期的更为重要。因此，在满足情监侦要求时，我们既要考虑对基础资源的约束，又要兼顾需求和利润的不确定性。

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