Density-independent wheat moisture content detection based on DMLA

IF 5.3 2区农林科学 Q1 ENGINEERING, CHEMICAL

Journal of Food Engineering Pub Date : 2024-11-07 DOI:10.1016/j.jfoodeng.2024.112390

Mingxing Li , Yibing Ma , Quan Pan , Yao Qin , Mengyu Yuan , Yongle Wu , Chengxin Cai

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引用次数: 0

Abstract

Rapid and high-precision wheat moisture detection is of great significance in ensuring wheat quality throughout transportation, storage, and procurement. The microwave method can achieve rapid detection of wheat moisture content, but the detection precision is influenced by spherical wave multipath, transmission diffraction effects, container, and wheat density. To improve the precision of detecting wheat moisture content, this paper presents a detection system that utilizes the 3D-printed dielectric metasurface lens antenna (DMLA). By utilizing the characteristic of the DMLA transforming spherical waves into plane waves, the error caused by spherical waves is reduced. The scattering parameters of wheat at varying moisture levels (6.2%–15.6%) and different densities are obtained using antenna and container error calibration algorithms in the frequency range of 23.6–24 GHz. An inverse algorithm is used to analyze the scattering parameters of wheat to determine the dielectric properties. The relationships between the dielectric properties, moisture content, and density are analyzed, and a density-independent calibration function is proposed to reduce the effect of density on the precision of moisture content detection. A linear regression model was established based on the density-independent calibration function, with a coefficient of determination (R²) of 0.992. In the results of predicting moisture content with the calibration function, the mean absolute error (MAE) is 0.143% and the root mean square error (RMSE) is 0.178%. The experimental results demonstrate the system's ability to achieve high-precision moisture content detection, with significant application potential in rapid grain quality detection, online monitoring, as well as grain drying and processing equipment.

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基于 DMLA 的与密度无关的小麦含水量检测

快速、高精度的小麦水分检测对确保小麦在运输、储存和采购过程中的质量具有重要意义。微波法可以实现小麦水分含量的快速检测，但检测精度受球面波多径、透射衍射效应、容器和小麦密度的影响。为了提高小麦水分含量的检测精度，本文提出了一种利用 3D 打印介质元表面透镜天线（DMLA）的检测系统。利用 DMLA 将球面波转化为平面波的特性，可以减少球面波造成的误差。在 23.6-24 GHz 频率范围内，使用天线和容器误差校准算法获得了不同水分含量（6.2%-15.6%）和不同密度下的小麦散射参数。使用逆算法分析小麦的散射参数，以确定介电性质。分析了介电特性、水分含量和密度之间的关系，并提出了与密度无关的校准函数，以减少密度对水分含量检测精度的影响。根据与密度无关的校准函数建立了线性回归模型，其判定系数 (R2) 为 0.992。在利用校准函数预测水分含量的结果中，平均绝对误差（MAE）为 0.143%，均方根误差（RMSE）为 0.178%。实验结果表明，该系统能够实现高精度的水分含量检测，在谷物质量快速检测、在线监测以及谷物干燥和加工设备方面具有巨大的应用潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Food Engineering 工程技术-工程：化工

CiteScore

11.80

自引率

5.50%

发文量

275

审稿时长

24 days

期刊介绍： The journal publishes original research and review papers on any subject at the interface between food and engineering, particularly those of relevance to industry, including: Engineering properties of foods, food physics and physical chemistry; processing, measurement, control, packaging, storage and distribution; engineering aspects of the design and production of novel foods and of food service and catering; design and operation of food processes, plant and equipment; economics of food engineering, including the economics of alternative processes. Accounts of food engineering achievements are of particular value.