Acta Metrologica Sinica  2019, Vol. 40 Issue (4): 642-646    DOI: 10.3969/j.issn.1000-1158.2019.04.16
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Volumetric Table Fitting Method Based on Interpolation Algorithm and Time Series
MA Xin-yu1,2,WANG Jin-tao2,SUN Bin1,LIU Xiang2,ZHENG He2,ZHONG Jia-dong1,2
1. China Jiliang University, Hangzhou, Zhejiang 310018, China
2. National Institute of Metrology, Beijing 100029, China
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Abstract  On the basis of the measured tank height-volume sampling points, a cubic spline curve interpolation and exponential time series analysis method are used. The values generated by the spline interpolation are used to make up the values in the sampling points of the volumetric table. The time series analysis method is used to calculate the unmeasured values at the tank bottom and the tank top. In the actual measurement test, the maximum deviation of the simulation of the cubic uniform B-spline curve interpolation from the actual value is less than 0.3%. The data measured by the time series analysis method provide the reference value, and the two data are forwardly pushed forward with the actual deviation less than 1%.
Key wordsmetrology      volume chart      spline interpolation      sequentially      weighting coefficient      index smooth method     
Received: 05 February 2018      Published: 10 June 2019
PACS:  TB938.3  
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MA Xin-yu
WANG Jin-tao
SUN Bin
LIU Xiang
ZHENG He
ZHONG Jia-dong
Cite this article:   
MA Xin-yu,WANG Jin-tao,SUN Bin, et al. Volumetric Table Fitting Method Based on Interpolation Algorithm and Time Series[J]. Acta Metrologica Sinica, 2019, 40(4): 642-646.
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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2019.04.16     OR     http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2019/V40/I4/642
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