摘要
针对我国储备粮人工稽核费时、费工等问题,提出了基于粮温时空相关性的储粮数量监管方法。首先,分析粮堆测温平面的自相关性与互相关性,检测粮堆异常发生的日期与平面;然后,分析粮堆异常日期内异常平面上测温线的自相关性,检测发生异常的测温线;接着分析异常测温线上测温点的自相关性,检测并统计异常点的个数;最后,根据异常点个数判定异常种类,进而实现储粮数量监管。在3个储粮区(低温区、中温区、高温区)中分别选取粮仓粮温进行相关性分析,根据分析结果设定测温平面自相关系数阈值为0. 8,互相关系数变化率阈值区间为[-0. 15 d^(-1),0. 15 d^(-1)];测温线的自相关系数阈值为0. 8;测温点的自相关系数阈值为0. 8;同时分析结果显示,短周期内测温线与点的互相关性无法作为异常判定依据。进行了储量监管试验,试验结果表明,基于粮温时空相关性的储粮数量监管方法不仅能够实现储粮数量监管,同时能够检测出粮堆发热等异常变化。
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.
作者
崔宏伟
吴文福
吴子丹
韩峰
朱浩天
秦骁
CUI Hongwei;WU Wenfu;WU Zidan;HAN Feng;ZHU Haotian;QIN Xiao(College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China)
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2019年第1期321-330,共10页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家重点研发计划项目(2017YFD0401003-3)
关键词
粮温
储粮
数量监管
时空相关性
grain temperature
grain storage
reserves monitoring
temporal and spatial correlation
