Scholarlink

In the cutting edge, the artificial intelligence is used to predict and analyze the potential risk factors of tunnel collapse. Various methods are implemented to monitor and assessment of the tunnel collapse risks. My Innovative idea is to visualize the potential risk factors for tunnel collapse by visualization and predict if any abnormalities or deformation data represented. If any changes in data that are nearby or threshold level can be alerted and disaster management can be done. The data used for this idea representation is from open source previous research findings and random source data. This idea may be useful to predict the potential risk of tunnel collapse. The 4-tier architecture can be introduced to monitor, predict and safeguard the tunnel health. The AI enabled visualization will give the real time monitoring information.

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Artificial Intelligence Enabled Real-Time Multi-source Data Fusion Based Smart Visualization System for Monitoring the Tunnel Health and Prediction of Tunnel Collapse Probability and Emergency Response

  • 会议论文

  • 发表日期：

    2025年

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  • Praveen Kumar Kulkarni

摘要

In the cutting edge, the artificial intelligence is used to predict and analyze the potential risk factors of tunnel collapse. Various methods are implemented to monitor and assessment of the tunnel collapse risks. My Innovative idea is to visualize the potential risk factors for tunnel collapse by visualization and predict if any abnormalities or deformation data represented. If any changes in data that are nearby or threshold level can be alerted and disaster management can be done. The data used for this idea representation is from open source previous research findings and random source data. This idea may be useful to predict the potential risk of tunnel collapse. The 4-tier architecture can be introduced to monitor, predict and safeguard the tunnel health. The AI enabled visualization will give the real time monitoring information.