Catalytic: Distributed Acoustic Sensing Data Analysis Ecosystem (DASDAE)

催化：分布式声学传感数据分析生态系统（DASDAE）

• 批准号: 2148614
• 负责人: Eileen Martin
• 金额: $ 48.38万
• 依托单位: Colorado School of Mines
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2148614&HistoricalAwards=false
• 关键词: Catalytic; Distributed; Acoustic; Sensing; Data

Distributed acoustic sensing (DAS) is a technology allowing one to repurpose a fiber optic cable as a series of many vibration sensors. DAS allows geoscientists and civil engineers to collect seismic vibration data more easily and at low cost, to opportunistically use telecommunications infrastructure, to leave sensors in place for long-term studies with little maintenance, and to collect data in new locations such as glaciers, cities, and offshore environments. DAS could transform approaches to numerous societally important problems: environmental monitoring, groundwater studies, earthquake hazard analysis, infrastructure resilience monitoring, and other applications requiring high resolution vibration data across large regions. However, the scientific and societal benefits of these DAS-enabled applications will only become reality if appropriate user-friendly software is freely available to scientists and engineers. This Geoinformatics Catalytic Track project will develop new software, the Distributed Acoustic Sensing Data Analysis Ecosystem (DASDAE), to lower the barrier to entry for the growing community of scientists working with DAS. DASDAE will provide convenient programming interfaces to read/write DAS file formats and for analyzing and visualizing data. The DASDAE team will build a user and developer community by organizing tutorial workshops, distributing training videos and notebooks (i.e., documents that mix text explanations, computer code, and images), and hosting hackathons. This project will support cross-disciplinary training for diverse students and postdocs, including through use of software in course materials.Large DAS data volumes and ongoing development of data standards have created a barrier for many geoscientists wishing to use DAS in their research projects. Without an open-source community software package to complement investments in DAS instrumentation, the data acquired are unlikely to be fully utilized. DASDAE will be an open-source software development environment for the geoscience community to collaborate, share methods, access open data, and efficiently reproduce results from DAS experiments. It will be integral to new geoscience discoveries, particularly for disciplines that rarely use large-scale seismic data. DASDAE will include a broad suite of DAS data analysis tools, implemented for dense arrays with modern software optimizations, integration with existing open-source computational science software for array analysis where appropriate, and robust testing and verification practices. This software will follow a modular design to allow for reuse of code across computing paradigms: field laptops, desktop workstations, high performance computing (HPC) clusters, and future cloud and edge computing. The DASDAE team will develop three scientific analysis modules that advance earthquake hazard, smart city, and near-surface geophysics related research, which also serve as examples for future software development.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

分布式声学传感（DAS）是一种允许将光纤电缆重新用作一系列许多振动传感器的技术。DAS使地球科学家和土木工程师能够更轻松地以低成本收集地震振动数据，有机会地使用电信基础设施，将传感器留在原地进行长期研究而无需维护，并在冰川，城市和近海环境等新地点收集数据。DAS可以改变许多具有重要社会意义的问题的方法：环境监测，地下水研究，地震灾害分析，基础设施恢复力监测以及其他需要大区域高分辨率振动数据的应用。然而，只有科学家和工程师能够免费获得适当的用户友好型软件，这些DAS应用程序的科学和社会效益才能成为现实。该地理信息催化跟踪项目将开发新的软件，分布式声学传感数据分析生态系统（DASDAE），以降低与DAS合作的越来越多的科学家社区的进入门槛。DASDAE将提供方便的编程接口，用于读取/写入DAS文件格式以及分析和可视化数据。DASDAE团队将通过组织教程研讨会、分发培训视频和笔记本（即，混合了文本解释、计算机代码和图像的文档），以及举办黑客马拉松。该项目将支持对不同学生和博士后进行跨学科培训，包括在课程材料中使用软件。DAS数据量大，数据标准不断发展，这给许多希望在研究项目中使用DAS的地球科学家造成了障碍。如果没有一个开放源码社区软件包来补充DAS仪器的投资，所获得的数据就不可能得到充分利用。DASDAE将是一个开源软件开发环境，供地球科学界协作、共享方法、访问开放数据并有效地再现DAS实验结果。它将成为地球科学新发现的组成部分，特别是对于很少使用大规模地震数据的学科。DASDAE将包括一套广泛的DAS数据分析工具，通过现代软件优化实现密集阵列，在适当的情况下与现有的开源计算科学软件集成以进行阵列分析，以及强大的测试和验证实践。该软件将遵循模块化设计，允许跨计算范式重用代码：现场笔记本电脑，桌面工作站，高性能计算（HPC）集群以及未来的云和边缘计算。DASDAE团队将开发三个科学分析模块，推进地震灾害、智慧城市和近地表地球物理学相关研究，这也是未来软件开发的范例。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。