王建旭,范利锋,王忠义,黄岚.肉品品质变化的蒙特卡罗方法仿真[J].食品安全质量检测学报,2018,9(10):2433-2439
肉品品质变化的蒙特卡罗方法仿真
The Monte Carlo simulation study on the detection of the meat quality
投稿时间:2018-03-21  修订日期:2018-05-18
DOI:
中文关键词:  蒙特卡罗仿真  生物组织  光子迁移  品质变化  无损检测
英文关键词:Monte Carlo simulation  biological tissue  photon transport  quality change  nondestructive detection
基金项目:国家科技支撑计划项目(2012BAH04B02)
作者单位
王建旭 中国农业大学信息与电气工程学院 
范利锋 中国农业大学信息与电气工程学院 
王忠义 中国农业大学信息与电气工程学院 
黄岚 中国农业大学信息与电气工程学院 
AuthorInstitution
WANG Jian-Xu College of Information and Electrical Engineering,China Agricultural University 
FAN Li-Feng College of Information and Electrical Engineering,China Agricultural University 
WANG Zhong-Yi College of Information and Electrical Engineering,China Agricultural University 
HUANG Lan College of Information and Electrical Engineering,China Agricultural University 
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中文摘要:
      目的 采用蒙特卡罗方法仿真研究检测间距对检测深度的影响以及光子在不同肉品组织中的迁移规律。方法 使用Windows界面的蒙特卡罗仿真软件对肉品的不同品质、不同检测间距的光子迁移分布进行仿真。结果 随着检测器与光源之间间距的增加, 检测深度逐渐增加; 对于不同新鲜度的样品, 散射系数在0.4~1.5 mm?1范围内, 随着散射系数的增大, 光子在组织中的迁移路径长度逐渐减小, 检测器可以捕获更多的光子包。结论 对不同检测间距下检测深度的蒙特卡罗仿真实验结果与实际测定结果基本相同, 因此蒙特卡罗仿真可以为光学在肉品无损检测方案的研究提供有效理论支撑。
英文摘要:
      Objective To study the effect of detection distances on the detection depth and the migration regularity of photons in different meat tissues by the Monte Carlo simulation method. Methods The photon migration distribution of different source-detector spacings and the different quality of meat products were simulated by using the Monte Carlo simulation software of Windows interface. Results The detection depth increased gradually as the distance between the detector and the light source increases. For the meat products with different freshness, the migration path length of the photons in the tissue decreased gradually and the detector could catch more photons with the scattering coefficient increasing in the range of 0.4-1.5 mm?1. Conclusions The Monte Carlo simulation results of the detection depth at different detection distances are practically the same as the actual measurement test. The Monte Carlo simulation can provide an effective theoretical support for the research on the nondestructive detection of biological tissues.
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