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.

分布式声传感（DAS）是一项技术，允许人们将光纤电缆重新利用为一系列许多振动传感器。 DAS允许地球科学家和土木工程师可以更轻松，低成本地收集地震振动数据，以机会性地使用电信基础设施，将传感器留在适当的地方进行长期研究，并在很少的维护下进行长期研究，并在冰川，城市和离岸环境等新地点收集数据。 DAS可以将方法转化为许多社会重要的问题：环境监测，地下水研究，地震危险分析，基础设施弹性监测以及其他需要大型区域内需要高分辨率振动数据的应用。但是，只有在科学家和工程师可以免费获得适当的用户友好软件时，这些支持DAS应用程序的科学和社会利益才能成为现实。这个地球信息学催化轨道项目将开发新软件，分布式的声学传感数据分析生态系统（DASDAE），以降低与DAS合作的科学家成长社区的进入障碍。 Dasdae将提供方便的编程接口，以读取/编写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，将文本说明，计算机代码和图像的文档）以及托管黑客马拉松来建立用户和开发人员社区。该项目将支持各种学生和博士后的跨学科培训，包括通过在课程材料中使用软件。LargeDAS数据量和持续的数据标准制定为许多希望在其研究项目中使用DAS的地理学家造成了障碍。如果没有开源社区软件包来补充DAS仪器的投资，则不太可能充分利用所获得的数据。 Dasdae将是一个开源软件开发环境，供Geoscience社区合作，共享方法，访问开放数据并有效地从DAS实验中复制结果。它将是新的地球科学发现不可或缺的一部分，特别是对于很少使用大型地震数据的学科。 DASDAE将包括一系列DAS数据分析工具，该工具针对具有现代软件优化的密集阵列实施，与现有的开源计算科学软件集成，用于适当的阵列分析以及可靠的测试和验证实践。该软件将遵循模块化设计，以允许在计算范式上重复使用代码：现场笔记本电脑，台式机工作站，高性能计算（HPC）簇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，以提高地震危险，智能城市和近地球物理学相关研究，这也是未来软件开发的示例。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查审查的审查标准来通过评估来通过评估来提供支持的。