验证和增强两种预测模型,评估体力劳动期间在佩戴个人防护设备时的生理应变
Giorgos K Gkikas1, Giorgos Papangelis1, Konstantinos Mantzios1
1FAME Laboratory, Department of Physical Education and Sport Science, University of Thessaly, Greece.
Industrial health
|November 16, 2025
概括
新的热应变决策辅助 (HSDA-FL) 改进了高风险环境中人员的生理应变预测,特别是使用化学,生物,放射和核 (CBRN) 个人防护设备 (PPE). 这种增强的模型保持了准确性,同时提高了可用性.
科学领域:
- 生理应变预测的预测.
- 职业安全 职业安全 职业安全
- 个人防护设备 (PPE) 的研究.
背景情况:
- 准确预测生理应变对于人员在危险环境中的安全至关重要,特别是在佩戴个人防护设备 (PPE) 时.
- 现有的模型,如热应变决策援助 (HSDA),需要提高可用性,以便实际应用.
研究的目的:
- 开发和验证HSDA-FL,一个可用性增强的热应变决策辅助器,具有自动工作负载估计和改进的环境投入.
- 评估HSDA-FL与原始HSDA相比的预测有效性.
- 评估HSDA,HSDA-FL和PHS-FL模型在化学,生物,放射和核 (CBRN) PPE条件下的性能.
主要方法:
- 11名参与者进行了模拟CBRN侦察场景,包括步行和检查任务.
- HSDA-FL模型使用原始和修订的初始化延迟逻辑进行了测试.
- 通过将模型预测与生理应变测量进行比较来评估性能.
主要成果:
- 在HSDA-FL中,残余误差明显低于原始HSDA (p<0.001).
- 经过修订的延迟逻辑的HSDA-FL变体实现了最高的精度 (MAE=0.151°C,RMSE=0.191°C,偏差=0.011°C).
- PHS-FL模型的表现明显低于HSDA和HSDA-FL模型的表现 (p<0.001).
结论:
- HSDA-FL保持并略微提高了原始HSDA的预测有效性,同时提供了增强的可用性.
- 在HSDA-FL中修订的延迟逻辑为生理应变预测提供了更高的准确性.
- 对于与CBRN防护服一起使用,PHS-FL的可靠性不足.
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