一种用于智能洪水响应的时间规划方法
文章背景与核心概要
本文提出了一种旨在优化洪水灾害期间应急响应的智能框架。通过利用时间规划（Temporal Planning）技术，该系统能够在资源严重受限的情况下，协调复杂且具有时间敏感性的救援行动。
该框架对洪水响应的整个生命周期进行了建模，涵盖了基于优先级的分类、路线可达性、资源分配以及供应链管理。值得注意的是，该系统支持实时重规划，以适应不断变化的灾害环境。通过采用 ANML 和 PDDL 2.1 语言实现，该模型确保了与现有时间规划器的广泛兼容性，并展示了在真实灾害场景下的高可扩展性。
摘要 (Abstract)
针对多个洪水受灾区域的有效响应，需要在严苛的资源限制下，按正确的时间顺序协调各项行动。自动规划通过对可用资源、约束条件和目标进行形式化描述，为生成具有时间感知能力的调度方案提供了基础。
Effective response to multiple, simultaneously flooded areas requires coordinating appropriate actions in the correct temporal order, under severe resource constraints. Automated planning provides a foundation for addressing this challenge by generating time-aware schedules, given a formal description of available resources, constraints, and goals.
本研究提出了一个智能洪水响应框架，利用时间规划技术对洪水响应的完整生命周期进行建模。该框架整合了优先级驱动的分类、路线可达性与通行成本、资源分配以及物资管理，同时支持在执行过程中根据突发的环境变化进行重规划。该框架采用动作符号建模语言 (ANML) 和规划领域定义语言 (PDDL) 2.1 进行表述，从而增强了与多种时间规划器的兼容性。实验结果验证了该框架的可行性与可扩展性，表明利用时间规划可以有效建模并解决洪水响应场景，同时也为规划器的选择提供了指导。
This work presents an intelligent flood-response framework that exploits temporal planning and models the complete operational life cycle of flood response. The framework incorporates priority-driven triage, route accessibility and travel costs, resource allocation, and supply management, while also supporting mid-execution re-planning in response to unexpected environmental changes. The framework is formulated both in the Action Notation Modeling Language (ANML) and the Planning Domain Definition Language (PDDL) 2.1, facilitating compatibility with a wider range of temporal planners. Experimental results establish the feasibility and scalability of the proposed framework, showing that flood response scenarios can be effectively modeled and solved using temporal planning, while providing guidance on planner selection.
