基于SVR的粮仓储粮重量在线检测模型

doi:10.3969/j.issn.0372-2112.2018.05.024

电子学报 ›› 2018, Vol. 46 ›› Issue (5): 1179-1185.DOI: 10.3969/j.issn.0372-2112.2018.05.024

基于SVR的粮仓储粮重量在线检测模型

张德贤^1,2, 张苗^1,2, 张庆辉^1,2, 张元², 吕磊¹

1. 河南工业大学信息科学与工程学院, 河南郑州 450001;
2. 粮食信息处理与控制教育部重点实验室, 河南郑州 450001

收稿日期:2016-10-19 修回日期:2017-03-27 出版日期:2018-05-25
- 通讯作者:
- 张苗
- 作者简介:
- 张德贤 男,1961年出生,河南新密人,河南工业大学教授、博导,主要研究方向为智能信息处理、粮食信息技术.E-mail:zdx@haut.edu.cn;张庆辉 男,1974年出生,河南南阳人,河南工业大学教授,主要研究方向为粮食信息处理技术和嵌入式系统应用.E-mail:zqh131@163.com;张元男,1961年生,河南洛阳人,河南工业大学教授、博导,主要研究方向为电磁波探测、信息融合.E-mail:zhangyuan@haut.edu.cn;吕磊男,1985年生,河南鹤壁人,河南工业大学讲师,研究方向为三维测量,3D打印以及信号处理.E-mail:ielulei@163.com
- 基金资助:
- 国家高科技研究发展计划 (863计划） (No.2012AA01608）; 国家科技支撑计划 (No.2013BAD17B04）; 国家自然科学基金 (No.U1404617）; 粮食信息处理与控制教育部重点实验室开放基金 (No.KFJJ2016102）; 河南省高校科技创新团队 (No.16IRTSTHN026）

On-line Granary Storage Weight Detection Based on SVR

ZHANG De-xian^1,2, ZHANG Miao^1,2, ZHANG Qing-hui^1,2, ZHANG Yuan², LU Lei¹

1. School of Information Science and Engineering, Henan University of Technology, Zhengzhou, Henan 450001, China;
2. Grain Information Processing and Control, Key Laboratory of Ministry of Education, Zhengzhou, Henan 450001, China

Received:2016-10-19 Revised:2017-03-27 Online:2018-05-25 Published:2018-05-25
- Corresponding author:
- ZHANG Miao
- Supported by:
- National High-tech R&D Program of China (863 Program) (No.2012AA01608); National Key Technology Research and Development Program of the Ministry of Science and Technology (No.2013BAD17B04); National Natural Science Foundation of China (No.U1404617); Open Fund of Key Laboratory of Food Information Processing and Control, Ministry of Education (No.KFJJ2016102); Science and Technology Innovation Team of Universities in Henan Province (No.16IRTSTHN026)

摘要/Abstract

摘要： 粮仓储粮重量自动检测是国家粮食安全的重要保障技术.本文针对粮堆散粒体特性，建立了粮仓储粮重量与粮仓底面和侧面压强的数学关系，证明了基于压力传感器进行粮仓数量在线检测的可行性.提出了基于内外圈两圈布置的压力传感器布置模型和基于多项式展开的粮仓储粮重量检测模型，利用内外圈传感器输出值均值的多项式展开构建粮仓储粮重量估计.针对实仓检测中内外圈传感器输出值均值存在较大波动的问题，提出了基于SVR的粮仓储粮重量检测模型，给出了SVR输入项序列的具体提取方法，设计了具体的建模算法.实验表明，实验粮仓检测模型建模与预测结果的误差小于±3%，证明了所提出的粮仓储粮重量检测模型与方法的有效性，可以满足国家粮仓储粮重量检测的要求.

关键词: 储粮重量监测, 压力传感器, 检测模型, 支持向量回归, 检测精度

Abstract: Automatic detection of granary storage quantity is an important technology for national food security.In this paper,according to the characteristics of grain peaks,the mathematical relationship between granary storage weight and the bottom/side pressure of granaries is established;the feasibility of the online granary storage quantity detection based on pressure sensors is also demonstrated.Furthermore,a new granary storage weight detection model based on polynomial expansion is proposed by using pressure sensors arranged along the inner and outer rings.The polynomial expansion of the average value of the pressure sensors is used to evaluate the granary storage weight.As the average value fluctuates inpractical warehouse detection,a granary storage weight detection model based on SVR is proposed.The detailed extraction method for SVR input sequences is described,and specific modeling algorithm is designed.Practical storage weight detection results show that the detection accuracy of the proposed model is better than 97%,which demonstrates that the proposed granary storage weight detection model is effective and well meet the demand of national granary storage quantity detection.

Key words: grain storage weight monitoring, pressure sensor, detection model, support vector regression(SVR), detection accuracy

中图分类号:

TP23

张德贤, 张苗, 张庆辉, 等. 基于SVR的粮仓储粮重量在线检测模型[J]. 电子学报, 2018, 46(5): 1179-1185.

ZHANG De-xian, ZHANG Miao, ZHANG Qing-hui, et al. On-line Granary Storage Weight Detection Based on SVR[J]. Acta Electronica Sinica, 2018, 46(5): 1179-1185.

参考文献

[1] 任正晓.粮食库存检查实务[M].北京:中国商业出版社,2007. Ren Zhengxiao.Transaction in the Warehouse Inventory Inspection[M].Beijing:China Commercial Publishing House,2007.(in Chinese)
[2] 李凯.粮仓储粮体积测量中激光点云数据处理技术[D].北京:首都师范大学,2011. Li Kai.The methods of calculating the granary volume applying 3D laser scan technology[D].Beijing:Capital Normal University,2011.(in Chinese)
[3] 陆坤权,刘寄星.颗粒物质(上)[J].物理,2004,33(09):629-635. Lu Kunquan,Liu Jixing.Granular matter(PartⅠ)[J].Physics.2004,33(09):629-635.(in Chinese)
[4] 陆坤权,刘寄星.颗粒物质(下)[J].物理,2004,33(10):713-721. Lu Kunquan,Liu Jixing.Granular matter(PartⅡ)[J].Physics.2004,33(10):713-721.(in Chinese)
[5] 马征,李耀明,徐立章.农业工程领域颗粒运动研究综述[J].农业机械学报,2013,44(2):22-29. Ma Zheng,Li Yaoming,Xu Lizhang.Summarize of particle movements research in agricultural engineering realm[J].Transactions of the Chinese Society of Agricultural Machinery,2013,44(2):22-29.(in Chinese)
[6] 王录民,刘永超,许启铿,等.散粮堆底部压力实测研究[J].河南工业大学学报(自然科学版),2013,34(4):1-4. Wang Lumin,Liu Yongchao,Xu Qikeng,et al.Research on site measurement of base pressure of bulk grain pile[J].Journal of Henan University of Technology(Natural Science Edition),2013,34(4),1-4.(in Chinese)
[7] 陈家豪,韩阳,许启铿,等.高大平房仓散装粮粮堆底部压力的试验研究[J].河南工业大学学报(自然科学版),2016,37(2):22-25. Chen Jiahao,Han Yang,Xu Qikeng,et al.The bottom pressure of granular grain pile in large ware house[J].Journal of Henan University of Technology(Natural Science Edition),2016,37(2),22-25.(in Chinese)
[8] 戴华阳,廉旭刚,陈炎.三维激光扫描技术在采动区房屋变形监测中的应用[J].测绘通报,2011,11(35):44-46. Dai Huayang,Lian Xugang,Chen Yan.Study of the deformation of house induce by mining based on 3D laser scanning[J].Bulletin of Surveying and Mapping,2011,11(35):44-46.(in Chinese)
[9] Zhang Qingming,Leng Yuanbao,Yang Lei,et al.Research on three-dimensional laser scanning and three-dimensional geological modeling techniques for engineering investigation[J].Progress in Geophysics,2009,24(3):1149-1153.
[10] 李鹏.粮仓储量三维激光扫描快速测量技术研究[D].北京:清华大学,2010. Li Peng.Research on rapid measurement technology for grain storage volume based on three dimensional laser scanning[D].Beijing:Tsinghua University,2010.(in Chinese)
[11] 董秀军.三维激光扫描技术获取高精度DTM的应用研究[J].工程地质学报,2007,15(3):428-432. Dong Xiujun.Research on application of 3D laser scanning technology in acquiring DTM with high accuracy and resolution[J].Journal of Engineering Geology,2007,15(3):428-432.(in Chinese)
[12] 董秀军,黄润秋.三维激光扫描技术在高陡边坡地质调查中的应用[J].岩石力学与工程学报,2006,25(10):3629-3635. Dong Xiujun,Huang Runqiu.Application of 3D laser scanning technology to geologic survey of high and steep slope[J].Chinese Journal of Rock Mechanics and Engineering,2006,25(10):3629-3635.(in Chinese)
[13] Sholts S B,Wärmländer S K T S,Folres L M,et al.Variation in the measurement of cranial volume and surface area using 3D laser scanning technology[J].Journal of Forensic Sciences,2010,55(4):871-876.
[14] 秦瑶,陈洁,方广有.粮仓储量信息无损探测技术研究[J].中国粮油学报,2010,2012(4):51-55. Qin Yao,Chen Jie,Fang Guangyou.Non-destructive detection of barn reserves information[J].Journal of the Chinese Cereals and Oils Association,2010,2012(4):51-55.(in Chinese)
[15] 郭文川,吕俊峰,谷文超.微波频率和温度对食用植物油介电特性的影响[J].农业机械学报,2009,40(8):124-129. Guo Wenchuan,Lu Junfeng,Gu Wenchao.Effect of frequency and temperature on microwave dielectric properties of edible vegetable oils[J].Transactions of the Chinese Society for Agricultural Machinery,2009,40(8):124-129.(in Chinese)
[16] 王振宇,刘国华.走时层析成像的迭代Tikhonov正则化反演研究[J].浙江大学学报(工学版),2005,39(2):259-263. Wang Zhenyu,Liu Guohua.Study of travel time tomography by iterative Tikhonov regularization inversion[J].Journal of Zhejiang University(Engineering Science),2005,39(2):259-263.(in Chinese)
[17] Samir Trabelsi,Stuart O Nelson.On the accuracy of bulk density and moisture content prediction in wheat from near field free space measurements[J].Technisches Messen,2007,74(5):280-289.
[18] Venkatesh M S,Raghavan G S V.An overview of microwave processing and dielectric properties of agri-food materials[J].Biosystes Engineering,2004,88(1):1-18.
[19] 周飞.仓外探测小麦密度及数量的反演研究[D].郑州:河南工业大学,2010. Zhou Fei.Inversion study on the density and quantity of wheat in the outside of the barn[D].Zhengzhou:Henan University of Technology,2010.(in Chinese)
[20] 方兴林.基于双目立体视觉的储备粮数量智能识别算法研究[D].重庆交通大学,2009. Fang Xinglin.Reserve grain quantity intelligent recognition algorithm research based on binocular stereo vision[D].Chongqing Jiaotong University,2009.
[21] 张德贤,杨铁军,傅洪亮,等.粮仓储粮数量在线检测模型[J].自动化学报,2014,40(10):2213-2220. Zhang Dexian,Yang Tiejun,Fu Hongliang,et al.An online detection model of granary storage quantity[J].Acta Automatica Sinica.2014,40(10).2213-2220.(in Chinese)
[22] 张德贤,杨铁军,傅洪亮,等.基于压力传感器的粮仓储粮数量在线检测方法[J].中国粮油学报,2014,29(4):98-103. Zhang Dexian,Yang Tiejun,Fu Hongliang,et al.An on-line detection method of granary storage quantity based on pressure sensor[J].Journal of the Chinese Cereals and Oils Association.2014,29(4):98-103.(in Chinese)
[23] 丁世飞,齐丙娟,谭红艳.支持向量机理论与算法研究综述[J].电子科技大学学报,2011,40(1):2-10. Ding Shifei,Qi Bingjuan,Tan Hongyan.An overview on theory and algorithm of support vector machines[J].Journal of University of Electronic Science and Technology of China.2011,40(1):2-10.(in Chinese)

基于SVR的粮仓储粮重量在线检测模型

On-line Granary Storage Weight Detection Based on SVR

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