基于温度场云图的储粮数量监控方法研究
S24%TP391.4; 为保障储备粮按照计划进出仓库,同时减少储粮监管与稽核的工作量,该文提出了基于温度场云图RGB颜色特征的储粮监管方法.调用历史粮温数据并进行预处理,生成粮堆各平面温度场云图,利用温度场云图的RGB颜色特征分布计算云图的相似度,据此设定异常判定阈值,计算相邻时间粮堆各平面云图的相似度,依据阈值进行异常检测,从而实现储粮监管.同时该文通过模拟5种粮堆异常情况,进行了模拟检测试验,并与基于温度场云图LBP纹理特征的检测算法进行对比,结果显示:基于温度场云图RGB颜色特征的算法平均查全率、平均查准率、运算速率均优于基于云图LBP纹理特征的算法,分别为98.6％、97.3％、32...
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| Published in | 农业工程学报 Vol. 35; no. 4; pp. 290 - 298 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
吉林大学生物与农业工程学院,长春,130022
15.02.2019
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1002-6819 |
| DOI | 10.11975/j.issn.1002-6819.2019.04.036 |
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| Abstract | S24%TP391.4; 为保障储备粮按照计划进出仓库,同时减少储粮监管与稽核的工作量,该文提出了基于温度场云图RGB颜色特征的储粮监管方法.调用历史粮温数据并进行预处理,生成粮堆各平面温度场云图,利用温度场云图的RGB颜色特征分布计算云图的相似度,据此设定异常判定阈值,计算相邻时间粮堆各平面云图的相似度,依据阈值进行异常检测,从而实现储粮监管.同时该文通过模拟5种粮堆异常情况,进行了模拟检测试验,并与基于温度场云图LBP纹理特征的检测算法进行对比,结果显示:基于温度场云图RGB颜色特征的算法平均查全率、平均查准率、运算速率均优于基于云图LBP纹理特征的算法,分别为98.6％、97.3％、320 ms/次.进行了储粮监管检测试验,结果表明,该方法不仅能够应用于储粮数量的监管,也能够检测出粮堆局部发热.该研究结果为储粮数量监控方法的提出奠定基础. |
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| AbstractList | S24%TP391.4; 为保障储备粮按照计划进出仓库,同时减少储粮监管与稽核的工作量,该文提出了基于温度场云图RGB颜色特征的储粮监管方法.调用历史粮温数据并进行预处理,生成粮堆各平面温度场云图,利用温度场云图的RGB颜色特征分布计算云图的相似度,据此设定异常判定阈值,计算相邻时间粮堆各平面云图的相似度,依据阈值进行异常检测,从而实现储粮监管.同时该文通过模拟5种粮堆异常情况,进行了模拟检测试验,并与基于温度场云图LBP纹理特征的检测算法进行对比,结果显示:基于温度场云图RGB颜色特征的算法平均查全率、平均查准率、运算速率均优于基于云图LBP纹理特征的算法,分别为98.6％、97.3％、320 ms/次.进行了储粮监管检测试验,结果表明,该方法不仅能够应用于储粮数量的监管,也能够检测出粮堆局部发热.该研究结果为储粮数量监控方法的提出奠定基础. |
| Author | 王雨佳 吴子丹 吴文福 崔宏伟 韩峰 张娜 |
| AuthorAffiliation | 吉林大学生物与农业工程学院,长春,130022 |
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| Author_FL | Cui Hongwei Han Feng Zhang Na Wu Wenfu Wang Yujia Wu Zidan |
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| DocumentTitle_FL | Monitoring method of stored grain quantity based on temperature field cloud maps |
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| Keywords | LBP纹理特征 温度场云图 温度传感器 相似度 RGB颜色特征 储藏 粮食 |
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| Title | 基于温度场云图的储粮数量监控方法研究 |
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