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基于糧溫時(shí)空相關(guān)性的儲(chǔ)糧數(shù)量監(jiān)管方法研究
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國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2017YFD0401003-3)


Reserves Monitoring Method for Grain Storage Based on Temporal and Spatial Correlation of Grain Temperature
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    摘要:

    針對(duì)我國(guó)儲(chǔ)備糧人工稽核費(fèi)時(shí),、費(fèi)工等問(wèn)題,,提出了基于糧溫時(shí)空相關(guān)性的儲(chǔ)糧數(shù)量監(jiān)管方法。首先,分析糧堆測(cè)溫平面的自相關(guān)性與互相關(guān)性,,檢測(cè)糧堆異常發(fā)生的日期與平面;然后,分析糧堆異常日期內(nèi)異常平面上測(cè)溫線的自相關(guān)性,檢測(cè)發(fā)生異常的測(cè)溫線,;接著分析異常測(cè)溫線上測(cè)溫點(diǎn)的自相關(guān)性,檢測(cè)并統(tǒng)計(jì)異常點(diǎn)的個(gè)數(shù),;最后,,根據(jù)異常點(diǎn)個(gè)數(shù)判定異常種類,進(jìn)而實(shí)現(xiàn)儲(chǔ)糧數(shù)量監(jiān)管,。在3個(gè)儲(chǔ)糧區(qū)(低溫區(qū),、中溫區(qū)、高溫區(qū))中分別選取糧倉(cāng)糧溫進(jìn)行相關(guān)性分析,,根據(jù)分析結(jié)果設(shè)定測(cè)溫平面自相關(guān)系數(shù)閾值為0.8,,互相關(guān)系數(shù)變化率閾值區(qū)間為[-0.15d-1,0.15d-1];測(cè)溫線的自相關(guān)系數(shù)閾值為0.8,;測(cè)溫點(diǎn)的自相關(guān)系數(shù)閾值為0.8,;同時(shí)分析結(jié)果顯示,短周期內(nèi)測(cè)溫線與點(diǎn)的互相關(guān)性無(wú)法作為異常判定依據(jù),。進(jìn)行了儲(chǔ)量監(jiān)管試驗(yàn),試驗(yàn)結(jié)果表明,,基于糧溫時(shí)空相關(guān)性的儲(chǔ)糧數(shù)量監(jiān)管方法不僅能夠?qū)崿F(xiàn)儲(chǔ)糧數(shù)量監(jiān)管,,同時(shí)能夠檢測(cè)出糧堆發(fā)熱等異常變化。

    Abstract:

    The supervision and verification of grain bulks is an important segment during storage. Reliable reserves monitoring method for grain storage can effectively guarantee national grain quantity security. To solve the problems such as time consuming, labor cost and other problems in the manual audit of reserves, a monitoring method for grain storage quantity based on correlation analysis was proposed. Firstly, the autocorrelation and intercorrelation of the temperature measurement planes in the grain bulks were analyzed, so that the abnormal date and planes were detected. Secondly, the autocorrelation and the intercorrelation of temperature measurement lines in the abnormal date were analyzed, and the abnormal lines were detected in the abnormal date. Then the autocorrelation and intercorrelation of the temperature measurement points in the abnormal temperature line were analyzed. The number of abnormal points was counted, and the type of abnormal occurrence and the abnormal proportion were determined according to the number. At the same time, the granaries were selected in three storage grain areas: low temperature zone, medium temperature zone and high temperature zone for correlation analysis. According to the analysis results, the threshold of autocorrelation coefficient of temperature measurement plane was set to be 08, the threshold of change rate of intercorrelation coefficient was [-0.15d-1, 0.15d-1]; the threshold of autocorrelation coefficient of temperature measurement line was 0.8; and the autocorrelation coefficient of temperature measurement point was 0.8. Meanwhile, the analysis results showed that the correlation between temperature measurement lines and points in short period can not be used as an anomaly criterion. The supervision test of grain storage was carried out. The test results showed that the grain storage supervision method based on the correlation analysis can not only realize the reserves monitoring, but also detect the local heating and other anomalies of grain bulk. The purpose was to analyze the correlation coefficient of grain temperature data in the granaries of several different grain storage areas, monitor the quantity of grain and provide a theoretical basis for the analysis of grain data in different regions.

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崔宏偉,吳文福,吳子丹,韓峰,朱浩天,秦驍.基于糧溫時(shí)空相關(guān)性的儲(chǔ)糧數(shù)量監(jiān)管方法研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2019,50(1):321-330. CUI Hongwei, WU Wenfu, WU Zidan, HAN Feng, ZHU Haotian, QIN Xiao. Reserves Monitoring Method for Grain Storage Based on Temporal and Spatial Correlation of Grain Temperature[J]. Transactions of the Chinese Society for Agricultural Machinery,2019,50(1):321-330.

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  • 收稿日期:2018-07-30
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  • 在線發(fā)布日期: 2019-01-10
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