| 铁路路基地质雷达检测数据智能里程校正方法 |
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| 引用本文： | 杜翠. 铁路路基地质雷达检测数据智能里程校正方法[J]. 铁道建筑, 2020, 0(2): 82-85 |
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| 作者姓名： | 杜翠 |
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| 作者单位： | 中国铁道科学研究院集团有限公司铁道建筑研究所 |
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| 基金项目： | 中国铁路总公司科技研究开发计划(P2018G002);中国铁道科学研究院基金(2017YJ130,2017YJ049)。 |
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| 摘 要： | 针对铁路路基地质雷达(Ground Penetrating Radar,GPR)检测数据里程校正效率低的问题,提出了一种智能里程校正方法。以GPR原始检测数据为数据源,通过构建特征向量和支持向量机识别模型,实现桥梁的智能识别;再根据桥梁里程进行回归计算,得到GPR检测数据的实际里程。采用京九线路基检测数据进行测试,结果表明,本文提出的铁路路基GPR检测数据智能里程校正方法具有较高的精度,里程校正误差约2 m,满足铁路路基检测工程的实际需求。
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| 关 键 词： | 铁路路基 里程校正 现场试验 统计分析 地质雷达 主成分分析 支持向量机 |
Intelligent Mileage Correction Method for Ground Penetrating Radar Data of Railway Subgrade |
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| DU Cui. Intelligent Mileage Correction Method for Ground Penetrating Radar Data of Railway Subgrade[J]. Railway Engineering, 2020, 0(2): 82-85 |
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| Authors: | DU Cui |
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| Affiliation: | (Railway Engineering Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China) |
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| Abstract: | Aiming at the low efficiency of mileage correction of railway subgrade Ground Penetrating Radar(GPR)detection data,an intelligent mileage correction method was proposed.Based on the original GPR detection data as the data source,the bridge intelligent recognition was realized by constructing the recognition model of eigenvector and Support Vector Machine.Then according to the regression calculation of bridge mileage,the actual mileage of GPR detection data was obtained.The test results show that the proposed intelligent mileage correction method for GPR data of railway subgrade in this paper has a high accuracy,and the mileage correction error is about 2 m,which meets the actual requirements of railway subgrade detection engineering. |
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| Keywords: | railway subgrade mileage correction field test statistical analysis Ground Penetrating Radar principal component analysis support vector machine |
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