研究人员开发了一种新颖的计算框架，用于优化封闭基础设施（如车辆停车场）中氢气泄漏的传感器布局。该系统集成了计算流体动力学（CFD）、遗传算法（GA）和DeepSets神经网络代理模型。优化的布局在60秒内实现了96.1%的检测率，并显著减少了盲区，优于均匀和随机布局。 AI
影响 该框架通过实现主动泄漏检测和减少传感器需求，可以提高氢气基础设施的安全性。
排序理由 该集群包含一篇详细介绍新计算框架和优化方法的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2607.26078v1 Announce Type: cross Abstract: Hydrogen infrastructure in enclosed environments, such as parking facilities for fuel cell vehicles, presents significant safety challenges due to hydrogen's low ignition energy and wide flammability range. Current monitoring syst…
Hydrogen infrastructure in enclosed environments, such as parking facilities for fuel cell vehicles, presents significant safety challenges due to hydrogen's low ignition energy and wide flammability range. Current monitoring systems are largely reactive, detecting leaks only aft…