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基于数据分析的分层抽样法在加油站抽样中的应用

Application of Stratified Sampling Method Based on Data Analysis in Gas Station Sampling
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摘要 在成品油国Ⅵ质量升级加油站抽样检查中,通过对影响抽样样品代表性的炼厂生产工艺、炼厂出厂指标、销售企业油库油品指标等信息数据进行分析,并在分析的基础上,建立分层抽样模型,设计分层抽样法质量抽检表格,在加油站抽样检查中实施应用。实践证明,分层抽样法抽选的样品具有代表性,抽样样品少,效率高,该抽样方法可在加油站大面积抽样检查中应用。 Although the general survey sampling method used in the oil detection of gas stations can sample comprehensively,it consumes manpower,material resources and time with low work efficiency.Therefore,through the analysis on the information and data of refinery production process,refinery oil specification,oil depot sample index of sales enterprises that affect the representativeness of samples,the stratified sampling method is proposed for sampling inspection of oil products.The correctness of the data reported by the test method and arbitration method was compared,and the aromatics content,being at the high level of the index at the present stage,was strictly analyzed according to warning line to ensure that the sampling conclusion could represent the overall sample quality level.The results proved that the stratified sampling method was representative with the characteristics of high efficiency,fewer samples requirement.This method can be used extensively in oil detection in gas stations.
作者 马芝玉 曾勇昭 陈先银 Ma Zhiyu;Zeng Yongzhao;Chen Xianyin
出处 《石油库与加油站》 2020年第5期30-32,M0004,共4页 Oil Depot And Gas Station
关键词 分层抽样 数据分析 加油站 gas station oil product detection general survey stratified sampling comparison application
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