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DASCore:用于分布式光纤传感的Python库

Derrick Chambers¹, Ge Jin², Ahmad Tourei²

¹Spokane Mining Research Division, National Institute for Occupational Safety and Health, Spokane, USA.

Seismica

|October 1, 2024

概括

一个新的Python库,DASCore,解决了分布式声学传感 (DAS) 数据的未成熟的开源软件生态系统. 它促进了DAS数据的分析,可视化和管理,支持更广泛的应用.

科学领域:

地质物理学地质物理学
数据科学数据科学数据科学
软件工程软件工程软件工程

背景情况:

在过去的十年中,分布式声学传感 (DAS) 在地震学和基础设施监测等各个领域得到了广泛采用.
目前用于处理DAS数据的开源软件生态系统开发不足,阻碍了更广泛的可访问性和应用.
需要强大的,用户友好的工具来处理和管理越来越多的DAS数据.

研究的目的:

介绍DASCore,这是一个新的Python库,旨在对DAS数据进行全面分析,可视化和管理.
提供一个基础包,简化常见的DAS数据处理任务和文件格式处理.
促进开发一个更成熟的开源生态系统,用于DAS数据分析.

主要方法:

开发DASCore,一个具有对DAS数据面向对象接口的Python库.
实现数据处理,转换,文件I/O (各种DAS格式) 和可视化功能.
与云计算工具集成,用于处理大规模的DAS数据集.

主要成果:

DASCore提供了一种简化的方法来分析,可视化和管理DAS数据.
该库支持阅读和写入各种DAS文件类型,并包括基于文件系统的档案工具.
DASCore可以与现有的Python工具集成,在云环境中实现可扩展的数据处理.

结论:

DASCore显著提高了处理分布式声学传感数据的能力.
作为DAS数据分析生态系统 (DASDAE) 的基础包,它旨在加速新DAS应用程序和库的开发.
这项工作促进了DAS技术在科学和工业领域的更容易使用和更有效的利用.

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