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Knowledge Graph-based Tunnel Water Inrush Risk Prevention and Control Method

  • Feipeng Huang,
  • Yadong Xue

摘要

With the onset of the twenty-first century, an increasing number of tunnel projects have been initiated in intricate and challenging environments. Traditional risk assessment methods have struggled to harness the wealth of monitoring data effectively and provide precise guidance to personnel in the event of risk incidents. To tackle these issues, this paper takes the risk of water inrush as an illustrative case and employs knowledge graph technology to establish a comprehensive water inrush graph database encompassing monitoring data, risk mechanisms, and mitigation guidelines. This initiative enhances data utilization and augments the risk management capabilities in tunnel engineering.