A new detection method for abnormal object in granary using ground penetrating radar and FDTD simulation

Grain storage security is a crucial component of food security, and adopting advanced technical methods is essential for effective supervision. In recent years, radar technology has become a prominent focus in grain storage monitoring. This study utilizes microwave transmission technology to measure the complex dielectric constant of grain and establishes a calculation model linking grain density and dielectric constant, offering a feasible approach for detecting the average density of grain piles. To address the “underdetermination” issue in identifying anomalies using ground-penetrating radar (GPR) echoes, a finite-difference time-domain (FDTD) simulation model of the granary detection environment is developed. By integrating simulation results with actual 2D radar echo images, high-precision positioning of anomalies within the granary is achieved. Electromagnetic detection experiments further validate the feasibility and practicality of cross-hole radar technology for identifying and imaging foreign objects in grain bins, resulting in a practical mathematical model. The model achieves a positioning accuracy of 0.3 m, meeting engineering application requirements. This research offers a scientific and reliable method for non-destructive detection of foreign matter in grain bins, providing new insights and practical solutions for improving grain storage monitoring.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-07-19
DOI
https://doi.org/10.1177/14727978251363031
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
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article

A new detection method for abnormal object in granary using ground penetrating radar and FDTD simulation

Weiwei Mao, Nianfeng Shi, Suping Yu
Journal of Computational Methods in Sciences and Engineering
Geophysical Methods and Applications
article

A new detection method for abnormal object in granary using ground penetrating radar and FDTD simulation

Weiwei Mao, Nianfeng Shi, Suping Yu
article en

Abstract

Grain storage security is a crucial component of food security, and adopting advanced technical methods is essential for effective supervision. In recent years, radar technology has become a prominent focus in grain storage monitoring. This study utilizes microwave transmission technology to measure the complex dielectric constant of grain and establishes a calculation model linking grain density and dielectric constant, offering a feasible approach for detecting the average density of grain piles. To address the “underdetermination” issue in identifying anomalies using ground-penetrating radar (GPR) echoes, a finite-difference time-domain (FDTD) simulation model of the granary detection environment is developed. By integrating simulation results with actual 2D radar echo images, high-precision positioning of anomalies within the granary is achieved. Electromagnetic detection experiments further validate the feasibility and practicality of cross-hole radar technology for identifying and imaging foreign objects in grain bins, resulting in a practical mathematical model. The model achieves a positioning accuracy of 0.3 m, meeting engineering application requirements. This research offers a scientific and reliable method for non-destructive detection of foreign matter in grain bins, providing new insights and practical solutions for improving grain storage monitoring.

Journal of Computational Methods in Sciences and Engineering
Luoyang Institute of Science and Technology (CN)
Openalex Percentile: Top 60%
Geophysical Methods and Applications
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