一种基于变压器的新方法,用于预测核辐射环境监测中的空气吸收剂量率
Yizhi Cao1, Zhaoran Liu1, Yunlong Niu2
1Zhejiang University, HangZhou, 310027, Zhejiang, China.
Heliyon
|October 9, 2023
概括
这项研究引入了Mixformer模型,用于准确的每小时核辐射预测. 它通过提高准确性和预警时间来改进现有方法,以改善公共卫生和环境安全.
科学领域:
- 核科学与工程 核科学与工程
- 环境监测 环境监测
- 数据科学数据科学数据科学
背景情况:
- 准确预测核辐射水平对于公共卫生和环境安全至关重要.
- 现有的预测方法难以应对数据的复杂性,导致准确性低,预警时间短.
- 需要新的方法来提高核辐射预测的可靠性.
研究的目的:
- 为预测未来每小时核辐射数据提出一种新的混合器模型.
- 为了应对当前预测方法中低准确度和短警告时间的挑战.
- 加强核辐射环境的安全和管理.
主要方法:
- 利用数据分解从核辐射数据中提取季节性和趋势.
- 开发了Mixformer模型,将解码器简化为卷积层,以实现更快的融合.
- 将空气吸收剂量率,光谱数据,气候条件和其他相关因素纳入模型.
主要成果:
- 与现有流行的模型相比,Mixformer模型显示出更高的预测性能.
- 使用平均平方误差 (MSE) 和平均绝对误差 (MAE) 度量来评估有效性.
- 对核辐射水平实现了更高的准确性和潜在的更长的预警时间.
结论:
- 拟议的混合器模型为工业核辐射数据处理和预测提供了可行和有效的解决方案.
- 该模型的提高准确性和速度解决了传统预测方法的关键局限性.
- 这一进步有助于改善核环境中的安全协议和风险管理.
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