顾及基坑施工影响的地铁区间隧道结构卡尔曼滤波预报模型

基金项目: 国家自然科学基金资助项目(41001313,41101362)

详细信息

Geometry Matching Method for Transportation Road Network Data Based on Projection

¹Institute of Surveying and Mapping,Information Engineering University, 66 Middle Longhai Road,Zhengzhou 450052,China;²71834 Troops,Zhengzhou 450199,China

Funds: 国家自然科学基金资助项目(41001313,41101362)

摘要: 将有限元分析计算得到的基坑开挖对地铁隧道结构变形的影响结果作为控制变量引入卡尔曼滤波模型,同时设计了以工程进度为依据的控制变量矩阵参数选取方法。以某地铁侧方基坑开挖项目为实例,分别进行了短期和较长期预报。对于短期预报,一般卡尔曼滤波模型和本方法均能较好地预报变形趋势;在较长期的预报方面,本方法的预报结果与实际观测结果更加吻合。
- 基坑施工影响 /
- 地铁区间隧道 /
- 有限元分析 /
- 卡尔曼滤波预报模型
Abstract: This paper puts forward a geometry matching method for transportation road network data based on projection.Characteristic points can be extracted from lines by projection and segmentation,so complex matching of road networks is converted into a characteristic point matching problem.An incremental matching strategy was designed,that narrows the range of matching and improves matching efficiency.A proper matching threshold can not only reduce leakage match and mismatch but also improves matching accuracy.Experimental results show that this method can obtain ahigher correct matching rate that meets application requirements.

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