一种基于多模态数据驱动的急救团队协作动态资源调度方法及系统
By using a multimodal data-driven approach, the data flow of emergency medical teams is collected and deconstructed simultaneously, collaborative robustness indicators are calculated, and resource allocation is dynamically adjusted. This solves the problems of information blind spots and decision lags in resource scheduling in existing technologies, enabling earlier risk identification and optimized resource allocation, and improving the collaborative efficiency and stability of emergency medical teams.
CN121789929BActive Publication Date: 2026-07-17SOUTHERN MEDICAL UNIVERSITY
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTHERN MEDICAL UNIVERSITY
- Filing Date
- 2025-12-23
- Publication Date
- 2026-07-17
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Figure CN121789929B_ABST
Abstract
本发明涉及多模态数据分析领域,尤其涉及一种基于多模态数据驱动的急救团队协作动态资源调度方法及系统,采集急救场景中的患者生理时序数据、团队行为交互数据及资源状态数据,构成异构数据流;根据所述异构数据流,解构团队协作链路的拓扑依赖关系;基于所述拓扑依赖关系与异构数据流,计算协同鲁棒性指标;当所述协同鲁棒性指标低于预设的指标阈值时,执行多模态约束驱动的冲突消解决策;监测资源分配后的协作效率变化数据,结合预设优化目标,校正所述协同鲁棒性指标的权重系数与预设的指标阈值。融合关键节点过载风险概率计算与协作路径资源保障度评估,提供量化的系统抗风险能力评估,较传统单一阈值报警更早识别复合型崩溃风险。
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