基于数字孪生的城中村密集房屋区管道施工安全监测的可视化实时预警技术

Visualized Real-Time Early Warning Technology for Safety Monitoring of Excavation Construction in Dense Housing Area of Urban Villages

城中村密集房屋区雨污管道施工项目涉及到大量管沟开挖,导致施工安全问题突出。针对管沟开挖安全监测分析要求高、数据关联复杂、数据条件差等特点,提出地面沉降机理与数据分析过程进行有机融合的理论方法。基于数字孪生技术的管沟开挖施工地面沉降智能分析方法,将数据与知识进行融合,以实现城中村区域施工地面沉降的可视化实时监测、预测和控制。对勘察设计、试挖、正式开挖施工的地面沉降全生命周期的场景、流程、对象、问题和知识等进行抽取和表达,形成数据-知识融合的地面沉降大数据分析模型。研究成果能为城中村密集房屋区域管道施工安全决策提供科学依据。

The rain-sewage diversion project in the dense housing area of urban villages involves a large amount of trench excavation, which leads to prominent safety problems in construction.The safety monitoring and analysis of trench excavation are characterized by high requirements, complex data association, and poor data conditions, and thus we propose a theoretical method of organic integration of land subsidence mechanisms and data analysis process.The intelligent analysis method for land subsidence in trench excavation is based on digital twin technology, which integrates data and knowledge to realize visualized real-time monitoring, prediction, and control of land subsidence in urban villages.The method extracts and expresses the scenes, processes, objects, problems, and knowledge of the whole life cycle of land subsidence in survey and design, trial excavation, and formal excavation construction, and a big data analysis model of land subsidence based on data-knowledge fusion is developed.The research results can provide a scientific basis for the safety decision-making of excavation construction in the dense housing area of urban villages.