基于粮温统计特征的粮仓库存状态检测方法  

Method to detect granary state based on statistical characteristics of grain temperature

作　　者：崔宏伟 吴文福[1] 吴子丹 兰天忆 窦建鹏[1] Cui Hongwei;Wu Wenfu;Wu Zidan;Lan Tianyi;Dou Jianpeng(College of Biological and Agricultural Engineering,Jilin University,Changchun 130022,China)

机构地区：[1]吉林大学生物与农业工程学院,长春130022

出　　处：《农业工程学报》2020年第2期320-330,共11页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家重点研发计划子课题(2017YFD0401004-3)。

摘　　要：粮仓历史库存状态的准确检测可以为清仓查库工作提供线索,该文通过分析粮温统计特征,提出了一种基于历史粮温统计特征的粮仓库存状态(主要包括空仓、新粮、通风3种状态)检测方法。利用粮堆上下相邻层温差和粮温的新异众比例检测空仓态,利用相邻层温差和粮温标准差检测新粮态,利用层温变化率和粮温标准差变化率检测通风态。提出了一种类多变量决策树的粮仓库存状态检测方法;通过分析11个粮仓历史粮温的统计特征,确定了决策树节点特征参数的最优阈值。最后选择7个不同省份的粮仓,利用提出的检测方法进行库存状态检测试验,试验结果显示空仓态、新粮态、通风态的查准率分别为78%、74%、91%,查全率分别为82%、70%、88%。试验结果表明基于历史粮温统计特征的粮仓库存状态检测方法能够较好的实现对空仓态和通风态的检测,能够基本实现对新粮态的检测。Accurate detection of historical status of granary is helpful for its management.Based on statistical analysis of grain temperature in granary,this paper presents a method to detect the storage status of the granary in attempts to resolve the problem of time-consuming and tediousness faced by inventory inspection.Warehouse with state of being empty,filled with fresh grain and ventilation was used as an example.Analysis of the distribution of statistical characteristics of historical grain temperature showed that the empty warehouse could be detected using the difference in temperature between the upper and lower adjacent layers of the grain bulk as well as the variation of the grain temperature;the fresh grain could be detected by the difference in temperature between adjacent layers and the difference in standard deviation of the grain temperature;the ventilation could be detected by the change in the grain temperature and the standard deviation difference of the grain temperature.The threshold intervals of the characteristic parameters of the three states were set preliminarily from analysis of the statistical characteristics of the grain temperature.Based on the threshold intervals,three optimal levels were selected and the orthogonal experiments of two-factors and three-levels were designed.In the same grain depot with 11 granaries,new and ventilated granaries were chosen for the orthogonal experiments.The optimal threshold range of the statistical characteristic parameters were determined by analyzing the statistical characteristics of the historical grain temperature changes in the 11 granaries.Multi-variable decision tree for inventory status detection was designed and the optimal threshold of the characteristic parameters of the multi-variable decision tree were as follows.The temperature difference between adjacent layers for empty granary status detection was[-0.12,0.12]℃.The temperature difference between adjacent layers was more than 0.02(or 0.03)℃,and the standard deviation was less than 2.0(or 2

关 键 词：粮食 温度 统计特征 库存状态 空仓 新粮 通风 

分 类 号：S24[农业科学—农业电气化与自动化] TP391.4[农业科学—农业工程]