基于传感器信息融合的隧道工程BIM分析系统构建及应用

Research and application of BIM big data analysis system based on sensor fusion

提出一种针对市政交通建设领域中的隧道工程,采用多传感器融合方法的BIM大数据分析系统构建及其算法。阐述了该系统的总体系统构架,讨论了传感器布设技术,提出了传感器静态误差补偿方法、MIDAS GTS模型、多传感器信息融合算法等动态分析过程。并以某陆地隧道工程项目为案例,提出了传感器布设方案,并进行现场试验和结果讨论。有效地解决设计阶段的设计参数变更相关问题,提升项目工程信息化水平,有助于推动BIM的实施进程。

This paper proposes the construction and algorithm of a BIM big data analysis system based on multi-sensor fusion method for tunnel engineering in the field of municipal traffic construction.The overall system architecture of the system is described,the sensor layout technology is discussed,and the dynamic analysis process such as sensor static error compensation method,MIDAS GTS model and algorithm,multi-sensor information fusion model and algorithm are proposed.Taking a land tunnel project as a case,the field test and results are discussed.This result can effectively solve the related problems of design parameter change in the design stage,improve the informatization level of project engineering,and help promote the implementation process of BIM in China’s construction industry.