期刊文献+

自动确定边角混合网独立闭合差的增量算法

Incremental Algorithm for Automatically Determining Independent Misclosures in Hybrid Triangulation Networks
下载PDF
导出
摘要 为评定外业观测数据质量和发现粗差,提出了一种闭合差搜索的通用算法。首先,针对高速铁路隧道中的各类边角混合网,基于平差理论,计算由边角混合网中测站数、非测站数和观测数确定其独立闭合差的数目,给出最简闭合差构成原则,求出余弦和正弦闭合差,推导闭合差限差计算模型,建立由闭合差探测观测值粗差的方法;进而导出闭合差增量与测站递增产生的重叠观测点数之间的数学关系式,设计数据结构实现测站与结点间双向多对多的拓扑映射关系,并基于分治思想,提出队列-测站双循环的增量算法来自动搜索最简且独立的闭合差;最后,以西南某高速铁路隧道构建的边角混合网为例进行算法验证。结果表明:增量算法能够在混合网中自动确定100%数量的最简独立闭合差,对观测值中存在的粗差100%予以探测,验证了采用该算法搜索闭合差及检核粗差的有效性。 To assess the quality of field observation data and detect gross errors,a generalized algorithm for searching misclosures is proposed.First,based on adjustment theory,the number of independent misclosures in all sorts of triangulations for high-speed railway tunnels is determined,considering the numbers of survey stations,non-station points and observations.The principle for constituting the simplest misclosure is established,based on which the cosine and sine misclosures are proposed.A computation model for the misclosure tolerance is derived,and a method for detecting gross errors in observations using misclosures is established.Next,the mathematical relationship is derived between the misclosure increment and the number of overlapping observation points resulting from a station increment.The bi-directional many-to-many topological relations are established between stations and nodes using a data structure,and based on a divide-and-conquer approach,an increment algorithm with dual loops for queue-station relations is proposed to automatically search for the simplest and independent misclosures.Finally,the algorithm is tested by an example of hybrid triangulation network constructed in a high-speed railway tunnel in southwest China.The results indicate that the incremental algorithm can automatically determine 100%of the simplest independent misclosures and detect 100%of the gross errors existed in observations,which validates the effectiveness in searching for misclosures and detecting gross errors by the proposed algorithm.
作者 宋占峰 李荣之 李军 SONG Zhanfeng;LI Rongzhi;LI Jun(School of Civil Engineering,Central South University,Changsha Hunan 410075,China)
出处 《中国铁道科学》 EI CAS CSCD 北大核心 2024年第3期78-86,共9页 China Railway Science
基金 国家重点研发计划项目(2021YFB2600403)。
关键词 高速铁路长大隧道 闭合差 边角混合网 增量算法 粗差探测 High-speed railway long tunnels Misclosures Hybrid triangulation networks Incremental algorithm Gross error detection
  • 相关文献

参考文献13

二级参考文献58

共引文献130

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部