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一种道路BIM模型与倾斜实景模型坐标匹配方法

A Road BIM Model and Tilt Dioramas Coordinate Matching Method
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摘要 为解决现有大场景三维地理信息系统(geographic information system,GIS)平台中道路建筑信息模型(building information modeling,BIM)模型与倾斜实景模型融合展示中存在的坐标基准不统一问题,提出一种道路BIM模型与倾斜实景地理坐标高精度匹配方法。针对道路带状分布特征及道路养护需求,首先对模型进行分段处理;然后根据道路路面及资产设施模型的特征点分布设计构建一种空间距离加权的最小二乘坐标匹配参数拟合方法,重点解决各分段路面的精准接边难题。选取真实道路数据展开实验,验证该坐标匹配方法,通过所提方法可以有效解决道路模型与倾斜实景模型匹配产生偏差的问题,匹配后二者之间的精度达到毫米级,满足道路交通设施数字化管养和动态更新的需要。 In order to address the issue of coordinate base inconsistency in the fusion display of road building information modeling(BIM)models and tilted reality models within existing large-scale 3D geographic information system(GIS)platforms,a high-precision matching method for geographic coordinates between road BIM models and tilted reality models was proposed.Taking into account the distribution characteristics of road bands and the requirements for road maintenance,the model was initially segmented.Subsequently,a spatial distance-weighted least-squares coordinate matching parameter fitting method was developed based on the distribution of characteristic points on the road pavement and asset facility model,with a focus on accurately joining edges of the road pavement in each segment.Real road data was selected for conducting experiments to validate this coordinate matching method.The method effectively resolves bias issues in matching between the road model and tilted reality model,achieving accuracy at millimeter level post-matching,thereby meeting digital maintenance needs as well as dynamic updating requirements for road traffic facilities.
作者 刘冰 康霖帅 刘如飞 李言虎 陆邹妍 LIU Bing;KANG Lin-shuai;LIU Ru-fei;LI Yan-hu;LU Zou-yan(Shandong University of Science and Technology,College of Computer Science and Engineering,Qingdao 266590,China;Shandong University of Science and Technology,College of Geodesy and Geomatics,Qingdao 266590,China;Qingdao Digital World Information Technology Co.,Ltd.,Qingdao 266041,China)
出处 《科学技术与工程》 北大核心 2025年第8期3438-3443,共6页 Science Technology and Engineering
基金 国家自然科学基金(42106180) 山东省科技型中小企业创新能力提升工程项目(2022TSGC1135) “菁英计划”科研支持项目(0104060541613)。
关键词 建筑信息模型(BIM) 模型坐标匹配 加权最小二乘 CESIUM 模型融合 building information modeling(BIM) model coordinate matching weighted least squares Cesium model fusion
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