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首页> 外文期刊>Advances in civil engineering >Intelligent Early Warning System for Construction Safety of Excavations Adjacent to Existing Metro Tunnels
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Intelligent Early Warning System for Construction Safety of Excavations Adjacent to Existing Metro Tunnels

机译：现有地铁隧道附近的挖掘施工安全性的智能预警系统

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With the increasing exploitation and utilization of underground spaces, the excavation of deep foundation pits adjacent to existing metro tunnels is becoming increasingly common. These excavations have the potential to cause safety problems for the operation of the nearby metro. Therefore, to prevent metro tunnel accidents from occurring during the construction process and to ensure the safety of lives and property, it is necessary to establish a risk-based early warning system. During the excavation process, the main methods for preventing accidents in excavations adjacent to existing metro tunnels are manual analyses based on on-site monitoring data. However, these methods make it difficult to enact effective control measures in a timely manner owing to the lag of information processing. However, the trial application of artificial neural networks (ANNs) and building information modelling (BIM) for engineering projects provides a new method for solving such problems. This study uses a backpropagation neural network to predict the real-time deformation of the tunnel based on monitoring data from the adjacent construction site. A safety risk assessment model is then established based on the relevant specifications. Through the establishment of an intelligent warning system, the safety risk to the metro tunnel during the construction process can be displayed in a three-dimensional (3D) form using the BIM. The operation results of the ANN–BIM system show that it can effectively present the safety risk to existing metro tunnels in a 3D manner, which can provide managers with rapid and convenient visual information to inform their decision-making.
机译：随着地下空间的升高利用率的增加，与现有地铁隧道相邻的深基坑坑的挖掘变得越来越普遍。这些挖掘有可能导致附近地铁运行的安全问题。因此，为了防止在施工过程中发生地铁隧道事故，并确保生命和财产的安全性，有必要建立基于风险的预警系统。在挖掘过程中，用于防止现有地铁隧道邻近的挖掘事故的主要方法是基于现场监测数据的手动分析。然而，由于信息处理的滞后，这些方法使得难以及时制定有效的控制措施。然而，用于工程项目的人工神经网络（ANNS）和构建信息建模（BIM）的试验应用提供了解决这些问题的新方法。该研究使用了基于来自相邻施工现场的监测数据来预测隧道的实时变形来预测隧道的实时变形。然后根据相关规范建立安全风险评估模型。通过建立智能警告系统，可以使用BIM以三维（3D）形式显示到施工过程中的地铁隧道的安全风险。 Ann-BIM系统的操作结果表明，它可以以3D方式有效地向现有的地铁隧道提供安全风险，这可以为管理人员提供快速和方便的视觉信息，以告知他们的决策。

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