大型体育赛事突发事件应急医学救援资源调度优化研究

Research on the Optimization of Emergency Medical Rescue Resource Scheduling in Large-scale Sports Events

针对大型体育赛事突发事件应急医学救援资源调度模型的不足,本文提出一种区别应急医学救援不同阶段、根据检伤分类结果转运后送伤员的“分阶段分类转运”应急医学救援资源调度多目标优化模型。该模型将救援过程归纳为现场救治和转运后送两个阶段,进一步细分了伤员伤情且考虑了志愿者救援力量。本文以整数规划为基础,使用epsilon约束法结合线性加权法实现模型多目标求解。基于北京2022年冬奥会三个赛区的假设算例验证该模型,所有伤员得到成功救治,求解结果具有合理性。

There are deficiencies in the resource scheduling model of emergency medical rescue in large-scale sports events.In this paper,a multi-objective optimization model is proposed with“phased classified transportation”emergency medical rescue resource scheduling.It is applied to reasonably dispatch emergency medical resources and transport and evacuate the wounded according to the classification results of examination and injury.Combined with the theory of emergency medicine,the proposed model summarizes the rescue process into two stages:on-site treatment and transport evacuation,further subdivides the injury of the wounded and includes the volunteer rescue force.Based on mixed integer programming,epsilon constraint method combined with linear weighted method is used to realize the multi-objective solution of the model.The hypothetical examples of three competition areas of Beijing 2022 Winter Olympic Games are used to verify the model.All the wounded are successfully treated and the solution results are reasonable.