驼:一个云计算工业4.0中子光谱展开的代码
Igor A Machado1, Marco Aurelio S Lacerda1, Ma Del Rosario Martinez-Blanco2
1Laboratório de Calibração de Dosímetros, Centro de Desenvolvimento da Tecnologia Nuclear, CDTN, Belo Horizonte, MG, Brazil.
Radiation protection dosimetry
|October 11, 2023
概括
本研究介绍了Chameleon,这是一个基于云的中子光谱展开代码,利用工业4.0云计算. 这个用户友好的工具,可以通过Web浏览器访问,旨在简化复杂的中子光谱分析.
科学领域:
- 核工程 核工程是指核工程.
- 计算物理 计算物理
- 工业4.0技术 工业4.0技术 工业4.0技术 工业4.0技术 工业4.0技术 工业4.0技术
背景情况:
- 中子光谱的展开对于核应用至关重要.
- 现有的方法可能是复杂和计算密集的.
- 工业4.0和云计算为可访问的科学工具提供了新的途径.
研究的目的:
- 为了介绍Chameleon,一个新的云计算 (CC) 工业4.0 (I4) 中子光谱展开代码.
- 为了证明基于Web的中子分析工具的可行性和用户友好性.
- 在Chameleon框架内实施和验证SPUNIT算法.
主要方法:
- 使用 Python 和 Streamlit 框架开发 Chameleon 代码.
- 在云基础设施上执行作为工业4.0云计算 (I4 CC) 技术.
- 实现用于中子光谱展开的SPUNIT算法.
- 通过初步测试和用户界面设计进行验证.
主要成果:
- 驼为中子光谱展开问题提供了一个简单,友好和直观的解决方案.
- 该代码可以通过使用移动设备和Web浏览器通过互联网访问.
- 最初的验证证实了代码在各种环境中成功应用的潜力.
结论:
- 驼代表了使中子光谱展开更容易获得的重大进步.
- 工业4.0云计算方法提高了核数据分析工具的可用性和覆盖范围.
- 进一步的验证和算法集成计划用于未来的开发.
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