辐射映射:高斯式多核权重方法,用于灾难场景中的源调查
Songbai Zhang1,2, Qi Liu2,3, Jie Chen2,3
1School of Physics and Electronic Engineering, Sichuan University of Science & Engineering, Zigong 643000, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
一个新的多核高斯过程回归 (MK-GPR) 模型准确地绘制了复杂,受阻环境中的辐射场. 这种先进的辐射测绘可以改善灾难后应急响应的来源定位.
科学领域:
- 核工程 核工程是指核工程.
- 环境科学 环境科学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 事故和灾难可能导致结构崩,造成辐射屏蔽和复杂的辐射场.
- 传统的辐射测绘方法与尖的梯度和在受阻环境中准确的源定位作斗争.
- 快速而精确的辐射源定位对于有效的紧急响应至关重要.
研究的目的:
- 开发一种新的多核高斯过程回归 (MK-GPR) 模型,用于在有物理障碍的环境中高准确度的辐射映射.
- 在灾后情景中提高辐射源定位的准确性和效率.
- 通过模拟和实地实验,对 MK-GPR 模型与传统方法的性能进行验证.
主要方法:
- 提出了一种多核高斯过程回归 (MK-GPR) 模型,集成反正方法,材料衰减和能量依赖透的内核.
- 在复杂的屏蔽环境中模拟马射线分布,使用GEometry ANd Tracking 4 (Geant4).
- 在RK-3588边缘计算平台上部署了优化的MK-GPR模型,该平台与移动机器人和NaI(Tl) 探测器集成.
主要成果:
- 与标准方法相比,MK-GPR显示了平均平方误差 (MSE),根-平均平方误差 (RMSE) 和平均绝对误差 (MAE) 的显著改善.
- 获得了0.937的确定系数 (R2),表明模型的高准确性.
- 在使用SLAM的实地实验中,单个源的局部化误差为10厘米,双源的局部化误差为15厘米.
结论:
- 拟议的MK-GPR模型提供了一个强大的解决方案,用于在具有挑战性的,受阻的环境中高准确度的辐射映射.
- 该系统在边缘计算平台和移动机器人上成功部署,证明了其在辐射源调查中的实际应用性.
- 这种方法提供了一个有效和可部署的工具,用于在灾后应急响应场景中定位辐射源.
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