Scholarlink

<p>In an era marked by escalating climate change and urban vulnerability, enhancing the resilience of infrastructure and communities has become critical. Advanced monitoring technologies are vital for providing real-time data to assess and strengthen resilience, enabling proactive risk management and sustainable development. In this paper, a real-time distributed acoustic sensing (DAS) system was deployed at Nanjing University Xianlin Campus, Nanjing, China, utilizing a 3.8-km-long underground fiber-optic cable array. Continuous data collection has been conducted since February 2023. The effectiveness of the monitoring system in dynamically assessing and strengthening campus resilience is investigated. By analyzing power spectral density fluctuations and spatiotemporal correlations in DAS data, this study captures variations in campus activity patterns across different functional zones and time periods. The results demonstrate that DAS can effectively monitor human and environmental dynamics in real-time, providing data-driven insights for optimizing traffic management, resource allocation, and facility operations. Furthermore, the integration of DAS with the adaptive cycle framework enhances campus resilience during exploitation, conservation, release, and reorganization stages. This work validates the potential of DAS as a powerful tool for building resilient and sustainable urban environments. Its cost-effectiveness and high-resolution monitoring capabilities make it a promising solution for future urban development and resilience planning.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Real-time campus resilience monitoring with distributed acoustic sensing: A case study

  • 期刊论文

  • 发表日期：

    2025年9月24日

查看全文
  • Hong-Hu Zhu,
  • Jing Wang,
  • You-Yi Ruan,
  • Qin Wang,
  • Gang Cheng,
  • Dao-Yuan Tan,
  • Ji-Xin Yang,
  • Bin Shi

摘要

In an era marked by escalating climate change and urban vulnerability, enhancing the resilience of infrastructure and communities has become critical. Advanced monitoring technologies are vital for providing real-time data to assess and strengthen resilience, enabling proactive risk management and sustainable development. In this paper, a real-time distributed acoustic sensing (DAS) system was deployed at Nanjing University Xianlin Campus, Nanjing, China, utilizing a 3.8-km-long underground fiber-optic cable array. Continuous data collection has been conducted since February 2023. The effectiveness of the monitoring system in dynamically assessing and strengthening campus resilience is investigated. By analyzing power spectral density fluctuations and spatiotemporal correlations in DAS data, this study captures variations in campus activity patterns across different functional zones and time periods. The results demonstrate that DAS can effectively monitor human and environmental dynamics in real-time, providing data-driven insights for optimizing traffic management, resource allocation, and facility operations. Furthermore, the integration of DAS with the adaptive cycle framework enhances campus resilience during exploitation, conservation, release, and reorganization stages. This work validates the potential of DAS as a powerful tool for building resilient and sustainable urban environments. Its cost-effectiveness and high-resolution monitoring capabilities make it a promising solution for future urban development and resilience planning.