Grain Moisture Detection by Using A-Scan Radar Measurement

E. Yiğit, K. Sabanci, A. Toktas, Deniz Ustun, Huseyin Duysak
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引用次数: 4

Abstract

The amount of moisture in stored grain is an important factor which affects food safety and grain quality. A sensible and accurate detection of the moisture content in stored grain is of great significance. In order to detect the grain moisture content non-destructively, the ability of the electromagnetic (EM) wave propagating through the grain can be exploited. While the conventional methods such as capacitive, gravimetric methods are suitable for measuring of moisture of small samples, the EM-based method is more suitable to measure grain moisture of larger samples. In this paper, the wheat moisture ratio is determined by means of A-Scan radar measurement. The radar backscattering signal belongs to air and wheat filled bin are obtained using vector network analyser(VNA) between 1 to 6 GHz for a total of 75 discrete points. The range gating process covering the same interval is performed to both (air and grain measurements) range profiles obtained by taking inverse Fourier transform (IFT) of the A-scan data. Then, the dielectric constant of the wheat is determined using phase information of A-scan data and the grain moisture content is calculated using the dielectric constants of grain, dried grain and water. The wheat moisture ratio is found with 0.6% error compared to actual ratio.
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用a扫描雷达测量谷物水分
储粮中的水分含量是影响食品安全和粮食品质的重要因素。合理、准确地检测储粮含水率具有重要意义。为了对粮食含水率进行无损检测,可以利用电磁波在粮食中的传播能力。电容法、重量法等传统方法适用于小样品的水分测量,而基于电磁法的方法更适用于大样品的颗粒水分测量。本文采用a扫描雷达测量法测定小麦含水率。利用矢量网络分析仪(VNA)在1 ~ 6ghz范围内获得了75个离散点的空气和小麦填充仓雷达后向散射信号。对a扫描数据进行傅里叶反变换(IFT)得到的距离轮廓(空气和谷物测量)进行覆盖相同间隔的距离门控处理。然后,利用a扫描数据的相位信息确定小麦的介电常数,并利用籽粒、干粒和水的介电常数计算籽粒含水率。小麦含水率与实际含水率的误差为0.6%。
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