粮仓储粮数量在线检测模型

张德贤; 杨铁军; 傅洪亮; 樊超; 张元

doi:10.3724/SP.J.1004.2014.02213

粮仓储粮数量在线检测模型

doi: 10.3724/SP.J.1004.2014.02213

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

基金项目:

国家高技术研究发展计划(863计划) (2012AA101008)

详细信息

作者简介:
杨铁军河南工业大学粮食信息处理与控制教育部重点实验室教授. 2003 年获得电子科技大学工学博士学位. 主要研究方向信号处理, 信息预测与建模.E-mail: tjyang@haut.edu.cn

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出版历程
- 收稿日期: 2013-01-15
- 修回日期: 2014-05-02
- 刊出日期: 2014-10-20

An Online Detection Model of Granary Storage Quantity

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

Funds:

Supported by National High Technology Research and Development Program of China (863 Program) (2012AA101008)

摘要

摘要: 粮仓储粮数量在线检测是国家粮食数量安全的重要保障技术, 是粮食库存检查的重要内容. 本文根据储粮数量在线检测精度和可靠性的要求, 针对粮仓压强分布的随机性, 提出了基于粮仓底面零内摩擦压强估计的粮仓储粮数量检测的新思路, 建立了粮仓压力传感器布置模型, 给出了粮堆底面与侧面压力分布随机性消除和侧面摩擦力影响补偿的具体方法, 提出了基于底面压力传感器检测均值的粮仓储粮数量检测模型和快速建模方法. 实仓实验结果表明, 所提出的储粮数量检测模型检测误差远小于3%, 且检测系统成本低, 可有效满足国家粮库储粮数量在线实时监测的实际需要.
- 储粮数量监测 /
- 压力传感器 /
- 检测模型 /
- 随机性消除 /
- 检测精度
Abstract: Granary storage quantity online detection is a key technology for national food quantity safety, and it is also an important content of grain inventory check. According to the randomness of the granary pressure distribution, a new measurement method based on the estimation of zero internal friction pressure at the bottom of granary is proposed. First, a granary pressure sensor layout model is set up, in which the storage quantity detection accuracy and reliability of the detection system are considered comprehensively. Then, the methods of eliminating the grain heap bottom and side pressure distribution randomness and compensating side friction are presented. The granary storage quantity detection model based on the mean of the bottom pressure sensor values and a fast modeling method are proposed in the end. Experiment results show that the error of the proposed storage quantity detection model is far less than 3% and that the system cost is low, which can meet the actual need of real-time online monitoring of national grain storage quantity and distribution.
- Granary storage quantity monitoring /
- pressure sensor /
- detection model /
- randomness elimination /
- detection decision

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参考文献(15)

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