战斗和作战环境的数字双胞胎建模:预测人类的表现,压力和弹性
Ruqaiyyah Siddiqui1,2, Naveed Ahmed Khan3,4
1Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Edinburgh, Scotland, UK.
BMJ military health
|December 24, 2025
概括
数字双胞胎技术为军事人员的健康和表现提供了积极的方法. 通过整合各种数据,这些系统可以预测健康问题,并优化在苛刻的操作环境中的准备.
科学领域:
- 军事作战医学军事作战医学
- 人类性能优化优化 人类性能优化
- 数字双胞胎技术的技术是数字双胞胎技术.
背景情况:
- 军事任务需要在极端的生理,认知和环境压力下持续执行.
- 目前用于士兵,飞行员和海军人员的监控系统通常是反应性的,数据是分散的.
- 疲劳,热量,脱水和心理负荷等因素会动态相互作用,增加受伤风险.
研究的目的:
- 概述为军事人员开发数字双胞胎的概念基础,数据架构和操作路线图.
- 建立一个主动的人类绩效和国防健康管理的框架.
- 利用数字双胞胎技术提高军事准备和安全.
主要方法:
- 整合多模式的生理,认知和环境数据流.
- 开发适应性计算模型,反映和预测个体的实时状态.
- 为军事数字双胞胎实施创建数据架构和操作路线图.
主要成果:
- 数字双胞胎可以在它们发生之前预测性能下降,压力损伤或医疗紧急情况.
- 能够实现个性化的对策和任务级别的决策支持.
- 将防御健康从观察转变为预测能力.
结论:
- 数字双胞胎技术为军事环境中主动的人类表现和健康管理提供了一个变革性的框架.
- 这些系统在复杂的作战场景中提高了弹性,准备和安全性.
- 拟议的方法将国防健康转向预测洞察力,以改善人员福利和任务成功.
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