面向多灾种应急协同的动态优先级调度方法
By acquiring multimodal sensing data to calculate modal incompleteness and data uncertainty penalty terms, and combining physical evolution prediction models and global situational awareness entropy, scheduling priorities are dynamically adjusted, solving the problems of resource misallocation and system perception paralysis under extreme disaster environments, and achieving a balance between local disaster response speed and global system stability.
CN122022412BActive Publication Date: 2026-07-17GUIZHOU HUATAI ZHIYUAN BIG DATA SERVICE CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUIZHOU HUATAI ZHIYUAN BIG DATA SERVICE CO LTD
- Filing Date
- 2026-04-14
- Publication Date
- 2026-07-17
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Figure CN122022412B_ABST
Abstract
本发明涉及应急管理信息化与智能协同调度控制技术领域，具体涉及面向多灾种应急协同的动态优先级调度方法，包括：获取预设的固定感知节点上传的多模态感知数据，以生成表征数据缺失状态的模态残缺度；将多模态感知数据输入预设的物理演化预测模型，计算任务节点的数据不确定性惩罚项；基于演化紧急度与数据不确定性惩罚项，计算当前的全局态势感知熵；判断全局态势感知熵是否大于预设的感知熵安全阈值，以生成绝对最优调度指令；将鲁棒性次优调度指令或绝对最优调度指令作为目标调度指令下发至预设的机动执行节点，更新全局任务分布网络中的所述全局态势感知熵；本发明显著提升了系统在极端灾害场景下对感知网络碎片化程度的识别能力。
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