摘 要
为适应跨江越海隧道建设不断发展的需要,盾构隧道工程正向着超大直径、超长距离、超大埋深的方向发展。然而,在当前盾构机不断大型化的背景下,实际的吊装作业施工项目在安全管理方法和技术方面的研究还比较落后,特别是对信息技术应用的研究尚为缺乏,造成安全事故得不到有效的控制。因此,如何利用信息技术对大型盾构吊装进行高效、实时的安全管控,是地铁吊装项目安全实施与降低风险的关键问题之一。
本文通过分析大型盾构吊装作业的技术特点,结合安全风险理论,运用事故树模型分别对高空坠落事故事故、物体打击事故、机械伤害事故、坍塌事故、其他事故这五种事故类型进行了分析,并将人的因素、物的因素、技术方案因素、管理因素、环境因素定义为影响风险发生的五大因素,以此为基础对上述事故类型的风险原因进行了进一步研究。
在对大型盾构吊装风险影响因素研究的基础上,本文建立了大型盾构吊装安全管理信息需求模型。为了实现物联网监控信息与BIM模型的信息交互,对基于IFC的大型盾构吊装监控信息的扩展与集成进行了研究。最后结合大型盾构吊装安全管理的信息需求模型,根据功能需求和设计原则,设计了大型盾构吊装安全管理平台的总体框架及数据库,并确定了该平台的运行流程和数据流程。
本项目的研究成果有利于提高当前大型盾构吊装作业项目安全管理的信息化水平,降低安全事故发生的可能性,为解决吊装作业问题提供新的研究视角和技术方法,具有重要的理论意义和实际应用价值。
关键词:大型盾构吊装;建筑信息模型;物联网;信息集成
Abstract
In order to adapt to the needs of the development of tunnel construction across the river in the sea constantly, shield tunnel project is towards large diameter, long distance, large buried depth direction.Under the background of Continuous large-scale of TBM,the actual hoisting construction project in safety management methods and technology research is still relatively backward,especially the research on the application of the information technology ,so that the safety accident can not get effective control.
Through the analysis of the technical features of large-scale TBM hoisting operation, combined with the security risk theory, using the fault tree model respectively to analyze objects falling accident accident, strike, mechanical injury accident, collapse accident and other accidents these five types , and defining the five factors including Human factors, physical factors, technical factors, management factors and environmental factors that influencing the risk occurs, based on this type of risk causes of the accidents has carried on the further research. the human factors, physical factors, technical factors, management factors, environmental factors is defined as the five factors influencing the risk occurs, and
then take a further research based on the type of risk accident reason.
Based on the research of the influence factors of risks, this paper established a large-scale TBM hoisting safety management model of the information demand. In order to reach the monitoring information interaction with BIM model, researching the information extension and integration of IFC monitoring.Finally combining with a large-scale TBM hoisting safety management model of information demand, setting up large-scale TBM hoisting security management platform function demand model.Designing the overall framework and database of the large-scale TBM hoisting security management platform, and then studying the process and data process, thus developing the large-scale TBM hoisting safety management platform prototype system.
The research are helpful to improve the informationization level of safety management of current hoisting project and reduce the possibility of safety accidents. It has a new research perspective and technical method to solve the problem of hoisting operation, whichcanimportant theoretical significance and practical application value.
Key words:Large-scale TBM Hoisting;Building Information Model;Internet of the Tings;Information Integration