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<p>In recent years, the frequent occurrence of seismic disasters worldwide has significantly impacted the structural integrity of critical infrastructures such as dams, with post-earthquake behavioral characteristics exhibiting drastic variations that pose substantial threats to structural safety. However, the daily monitoring frequency of dam health monitoring (DHM), including displacement monitoring, is relatively low, which is in contradiction with the high-frequency monitoring required in the short term after the earthquake. To address this limitation, this study proposes a novel technical framework based on callback functions and polling commands. By predefining callback function types and their arrays, the system is able to immediately increase the sampling frequency of monitoring devices from the routine level to a high-frequency mode upon detecting a seismic event, thereby obtaining high-density data and enabling real-time monitoring of dam conditions following strong earthquakes. Building upon this framework, we developed an integrated real-time monitoring and early warning response system for dams under strong seismic excitation, incorporating safety assessment, warning, and response mechanisms. In this paper, taking the earthquake around Hualien County, Taiwan, China on October 27, 2024 as a case study, the impact of the earthquake on two large cascade reservoirs in eastern China is analyzed, and the results show the accuracy and effectiveness of the system. The study provides a reliable technical scheme for avoiding the damage of earthquake to water conservancy projects.</p>

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Research on a dam real-time strong-earthquake monitoring, warning, and response system based on polling commands

  • 期刊论文

  • 发表日期：

    2025年11月19日

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  • Weiguo Zhang,
  • Quan Zhao,
  • Yutian Jiang,
  • Yun Bai,
  • Siyuan Zhao,
  • Wei Sun,
  • Yulan Zhang,
  • Hui Yu,
  • Weiwei Gu

摘要

In recent years, the frequent occurrence of seismic disasters worldwide has significantly impacted the structural integrity of critical infrastructures such as dams, with post-earthquake behavioral characteristics exhibiting drastic variations that pose substantial threats to structural safety. However, the daily monitoring frequency of dam health monitoring (DHM), including displacement monitoring, is relatively low, which is in contradiction with the high-frequency monitoring required in the short term after the earthquake. To address this limitation, this study proposes a novel technical framework based on callback functions and polling commands. By predefining callback function types and their arrays, the system is able to immediately increase the sampling frequency of monitoring devices from the routine level to a high-frequency mode upon detecting a seismic event, thereby obtaining high-density data and enabling real-time monitoring of dam conditions following strong earthquakes. Building upon this framework, we developed an integrated real-time monitoring and early warning response system for dams under strong seismic excitation, incorporating safety assessment, warning, and response mechanisms. In this paper, taking the earthquake around Hualien County, Taiwan, China on October 27, 2024 as a case study, the impact of the earthquake on two large cascade reservoirs in eastern China is analyzed, and the results show the accuracy and effectiveness of the system. The study provides a reliable technical scheme for avoiding the damage of earthquake to water conservancy projects.