A multi-source data-driven tunnel fire source localization methodology and system integrating Bayesian estimation and multi-golden eagle optimization

IF 3.3 3区工程技术 Q2 ENGINEERING, CIVIL

Fire Safety Journal Pub Date : 2025-06-30 DOI:10.1016/j.firesaf.2025.104469

Yan Li , Bin Sun , Tong Guo

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引用次数: 0

Abstract

With the increase in urban underground tunnels, fire safety has become a crucial issue, and accurate fire source localization is essential. Previous methods based on sensor arrays or video images have notable limitations. This study proposes a tunnel fire source localization methodology based on multi-source data. A multi-source data fusion model is constructed using Bayesian estimation following data preprocessing. The fitness function is optimized to determine the fire source location by integrating the improved multi-golden eagle optimization algorithm (MGEO). Finally, an intelligent localization system is developed by Unity 3D engine to visualize the fire localization result based on the developed methodology. The effectiveness of the methodology is verified by full-scale experiments and FDS numerical simulations, demonstrating that the MGEO algorithm offers greater accuracy and robustness compared to other algorithms. The results support that the developed methodology and system can provide robust support for tunnel fire safety management and rescue operations.

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一种融合贝叶斯估计和多金鹰优化的多源数据驱动隧道火源定位方法及系统

随着城市地下隧道数量的增加，火灾安全成为一个至关重要的问题，准确的火源定位至关重要。以往基于传感器阵列或视频图像的方法有明显的局限性。提出了一种基于多源数据的隧道火源定位方法。在对数据进行预处理后，利用贝叶斯估计构建了多源数据融合模型。结合改进的多金鹰优化算法（MGEO）对适应度函数进行优化，确定火源位置。最后，利用Unity 3D引擎开发了智能定位系统，实现了火灾定位结果的可视化。通过全尺寸实验和FDS数值模拟验证了该方法的有效性，表明MGEO算法比其他算法具有更高的精度和鲁棒性。结果表明，所开发的方法和系统可以为隧道消防安全管理和救援行动提供有力的支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Fire Safety Journal 工程技术-材料科学：综合

CiteScore

5.70

自引率

9.70%

发文量

153

审稿时长

60 days

期刊介绍： Fire Safety Journal is the leading publication dealing with all aspects of fire safety engineering. Its scope is purposefully wide, as it is deemed important to encourage papers from all sources within this multidisciplinary subject, thus providing a forum for its further development as a distinct engineering discipline. This is an essential step towards gaining a status equal to that enjoyed by the other engineering disciplines.