Real-time grading system based on virtual instrument for freshwater fish body mass | 基于虚拟仪器的淡水鱼质量在线分级系统
2013
Li Peng, Huazhong Agricultural University, Wuhan (China), College of Engineering | Peng Yi, Wuhan Agricultural Identification Promotion Station, Wuhan (China) | Xiong Shanbai, The Sub Centre (Wuhan) of National Technology and Research and Development of Staple Freshwater Fish Processing, Wuhan (China)
Chino. 针对淡水鱼体质量分级存在精度低、速度慢、可靠性差等问题，设计一套基于虚拟仪器的淡水鱼体质量在线分级系统，确定系统中运动控制模块、信息采集模块和分级执行模块的关键参数，研究淡水鱼体质量信息与分级流水线同步跟踪的方法，实现对淡水鱼体质量的实时检测和在线分级。当系统运行速度为150mm/s时，测量结果与实际淡水鱼体质量的相关系数R=0.999 8，最大相对误差为1.04%，分级准确率达到100%，每小时可以分3 600条淡水鱼。试验结果表明，该系统能实现对淡水鱼体质量的快速、准确检测，可为淡水鱼和其他不规则几何形状的农产品质量在线分级提供技术支撑。
Mostrar más [+] Menos [-]Inglés. A freshwater fish body mass online grading system based on virtual instrument was designed since the present freshwater fish body mass classification is slow and has low accuracy and poor reliability. The key parameters of the motion control module, information collection module and classification execution module were determined, and a method synchronously tracking freshwater fish body mass information and hierarchical pipeline was researched. The speed of the grading line was 150mm/s, the correlation coefficient of the measurement results and the real body mass was equal to 0.999 8, the maximum relative error of freshwater fish body mass was 1.04%, the grading accuracy rate of the fresh-water fish body mass grading system was 100%, and it handled 3 600 freshwater fish per hour. The test results show that the system can achieve fast, accurate detection of freshwater fish weight, and provide technical support for body mass online grading of the freshwater fish and other agricultural products with irregular shapes.
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