连续压实质量检测参数单点异常值识别及处理
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摘要
为解决现行连续压实检测参数异常值识别及处理方法未考虑数据空间分布特征的问题,结合地统计学的半变异函数,提出基于自相关距离的近邻加权估计识别法,并定义单点异常值判定指标:异常指数α_i,将异常值剔除后,利用普通克里金插值法对原异常值点处的数据进行估计,并通过沪昆高铁娄底试验段进行了连续压实质量检测试验验证.结果表明:当某点的异常指数α_i>0.2时,可判定其为单点异常值点;相比于现行的拉依达准则(3σ准则)识别方法,基于自相关距离的近邻加权估计法具有更高的准确度和识别效率;普通克里金插值法能够更为准确地估计单点异常值处的数据,降低数据的变异系数,提高连续压实质量检测参数的均匀性.
To take the spatial distribution into account when identifying and processing single outlier continuous compaction quality, the near neighbor weighted estimation and identification method was developed based on autocorrelation distance. Judge index of single outlier was defined as abnormal index α_i. After eliminating the outliers, the original outlier data were estimated using ordinary Kriging interpolation method. Then continuous compaction experiments were carried out in Loudi construction site of Shanghai-Kunming high-speed railway. Results show that the test value can be determined as a single outlier when the abnormal index α_i is greater than 0.2. Compared with the current Pauta criterion recognition method, the near neighbor weighted estimation and identification method based on autocorrelation distance has higher accuracy and recognition efficiency. The ordinary Kriging interpolation method could provide a more accurate estimation of the single outlier data, reduce the coefficient variation of the data, and improve the uniformity of continuous compaction quality measured value.
To take the spatial distribution into account when identifying and processing single outlier continuous compaction quality, the near neighbor weighted estimation and identification method was developed based on autocorrelation distance. Judge index of single outlier was defined as abnormal index α_i. After eliminating the outliers, the original outlier data were estimated using ordinary Kriging interpolation method. Then continuous compaction experiments were carried out in Loudi construction site of Shanghai-Kunming high-speed railway. Results show that the test value can be determined as a single outlier when the abnormal index α_i is greater than 0.2. Compared with the current Pauta criterion recognition method, the near neighbor weighted estimation and identification method based on autocorrelation distance has higher accuracy and recognition efficiency. The ordinary Kriging interpolation method could provide a more accurate estimation of the single outlier data, reduce the coefficient variation of the data, and improve the uniformity of continuous compaction quality measured value.
引文
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[13]刘爱利, 王培法, 丁园圆. 地统计学概论[M]. 北京: 科学出版社, 2012: 99 LIU Aili, WANG Peifa, DING Yuanyuan. Geostatistics introduction [M]. Beijing: Science Press, 2012: 99
[14]刘瑞民, 王学军, 郑一. 湖泊水质参数空间分析中异常值的识别与处理[J]. 环境科学与技术, 2003, 5(26): 17 LIU Ruimin, WANG Xuejun, ZHENG Yi. Outlieridentification and processing in spatial analysis of water quality parameters of a lake[J]. Environmental Science and Technology, 2003, 5(26): 17. DOI: 10.3969/j.issn.1003-6504.2003.05.008
[15]高速铁路路基工程施工质量验收标准: TB 10751—2010 [S]. 北京: 中国铁道出版社, 2011 Standard forconstructional quality acceptance of high-speed railway earth structure engineering: TB 10751—2010[S]. Beijing: China Railway Press, 2011
[16]聂志红, 焦倓, 王翔. 基于谐波平衡识别法的铁路路基连续压实指标研究[J]. 中国铁道科学, 2016, 37(3): 1 NIEZhihong, JIAO Tan, WANG Xiang. Study on continuous compaction indicator of railway subgrade based on harmonic balance identification method[J]. China Railway Science, 2016, 37(3): 1. DOI: 10.3969/j.issn.1001-4632.2016.03.01
[2] 谭文辉, 王家臣, 周汝弟. 岩体强度参数空间变异性分析[J]. 岩石力学与工程学报, 1999, 18(5): 546 TAN Wenhui, WANG Jiachen, ZHOU Rudi. Spatial variability analysis of rock mass strength parameters[J]. Chinese Journal of Rock Mechanics and Engineering, 1999, 18 (5): 546. DOI:10.3321/j.issn:1000-6915.1999.05.012
[3]聂志红, 焦倓, 王翔. 基于地统计学方法的铁路路基压实均匀性评价[J]. 中国铁道科学, 2014, 35(5): 1 NIEZhihong, JIAO Tan, Wang Xiang. Compaction uniformity evaluation of railway subgrade based on geostatistics[J]. China Railway Science, 2014, 35(5): 1. DOI: 10.3969/j.issn.1001-4632.2014.05.01
[4]铁路路基填筑工程连续压实控制技术规程: TB 10108—2011[S]. 北京: 中国铁道出版社, 2005 Technical specification for continuous compaction control of fill engineering of railway earth structure:TB10108—2011[S]. Beijing: China Railway Press, 2005
[5]毛亚纯, 王恩德, 修春华. 剔除变形监测粗差数据的新方法—数据跳跃法[J]. 东北大学学报(自然科学版), 2011, 32 (7):1020 MAO Yachun, WANG Ende, XIU Chunhua. Datajump method: a new approach to eliminating the deformation monitoring data with gross errors[J]. Journal of Northeastern University (Natural Science), 2011, 32(7): 1020
[6]窦鹏, 聂志红, 王翔. 铁路路基压实质量检测指标CMV与Evd的相关性校检[J]. 铁道科学与工程学报, 2014, 11(2): 90 DOU Peng, NIE Zhihong, WANG Xiang. Correlation verification of railway subgrade compaction quality test value between CMV and Evd[J]. Journal of Railway Science and Engineering, 2014, 11(2): 90. DOI: 10.3969/j.issn.1672-7029.2014.02.015
[7]和民锁. 高速铁路路基填筑质量检测方法控制指标及评价体系研究[D]. 长沙:中南大学, 2010 HE Minsuo. Research of test methods acceptance criteria and evaluation system for compaction quality of high speed railway subgrade[D]. Changsha: Central South University, 2010
[8] THOMPSON M J, WHITE D J. Field calibration and spatial analysis of compactionmonitoring technology measurements[J]. Transportation Research Record: Journal of the Transportation Research Board, 2004(1): 69. DOI:10.3141/2004-08
[9] VANMARCKE E H. Probabilistic modeling of soil profiles[J]. Journal of the Geotechnical Engineering Division, 1977, 103(11):1227. DOI:10.1016/0148-9062(78)90012-8
[10] MATHERON G. Principles of geostatistics[J]. Economic Geology, 1963, 58(8): 1246. DOI: 10.2113/gsecongeo.58.8.1246
[11]李小文, 曹春香, 常超一. 地理学第一定律与时空邻近度的提出[J]. 自然杂志, 2007, 29(2):69. LI Xiaowen, CAO Chunxiang, CHANG Chaoyi. The first law of geography and spatial temporal proximity[J]. Nature Magazine, 2007, 29(2): 69. DOI: 10.3969/j.issn.0253-9608.2007.02.002
[12]陈欢. 气候资源插值算法在多核环境下的并行计算研究[D].长沙:湖南大学, 2012 CHEN Huan. Interpolation of climatic resources in multi-core research on parallel computing environment[D].Changsha: Hunan University, 2012
[13]刘爱利, 王培法, 丁园圆. 地统计学概论[M]. 北京: 科学出版社, 2012: 99 LIU Aili, WANG Peifa, DING Yuanyuan. Geostatistics introduction [M]. Beijing: Science Press, 2012: 99
[14]刘瑞民, 王学军, 郑一. 湖泊水质参数空间分析中异常值的识别与处理[J]. 环境科学与技术, 2003, 5(26): 17 LIU Ruimin, WANG Xuejun, ZHENG Yi. Outlieridentification and processing in spatial analysis of water quality parameters of a lake[J]. Environmental Science and Technology, 2003, 5(26): 17. DOI: 10.3969/j.issn.1003-6504.2003.05.008
[15]高速铁路路基工程施工质量验收标准: TB 10751—2010 [S]. 北京: 中国铁道出版社, 2011 Standard forconstructional quality acceptance of high-speed railway earth structure engineering: TB 10751—2010[S]. Beijing: China Railway Press, 2011
[16]聂志红, 焦倓, 王翔. 基于谐波平衡识别法的铁路路基连续压实指标研究[J]. 中国铁道科学, 2016, 37(3): 1 NIEZhihong, JIAO Tan, WANG Xiang. Study on continuous compaction indicator of railway subgrade based on harmonic balance identification method[J]. China Railway Science, 2016, 37(3): 1. DOI: 10.3969/j.issn.1001-4632.2016.03.01