小麦不完善粒快速检测仪器研究

Research on the Instrument for Rapid Detection of Unsound Wheat Kernels

采用图像分析技术与自动控制技术,将人工智能技术应用于小麦不完善粒检测,研究开发了小麦不完善粒指标的自动快速无损检测仪器。通过验证该仪器检测小麦不完善粒的准确性、重复性、稳定性、台间差等相关性能参数,结果表明:该仪器检测性能稳定,准确性、重复性、稳定性、台间差均符合行业标准要求,操作简单,检测速度快,克服了人工检测主观性强、重复性差、不同人员间检验一致性较差等问题,可实现小麦不完善粒的自动快速无损检测,能够满足粮食收储企业、加工企业和检测机构的检测需要。

By using image analysis technology and automatic control technology,the artificial intelligence technology was applied to the detection of unsound wheat kernels.The automatic,rapid and nondestructive detection instrument for unsound wheat kernels was developed.Through the verification of accuracy,repeatability,stability,difference between two instruments and other related performance parameters,the results showed that the instrument had stable performance.The accuracy,repeatability,stability and difference between two instruments met the requirements of industry standards.The operation was simple,and the detection speed was fast.It can overcome the problems of strong subjectivity,poor repeatability and poor inspection consistency among different personnel with manual checking,achieving the automatic and rapid nondestructive testing of unsound wheat kernels,and meeting the testing demand of grain collectionand storage enterprises,processing enterprises and inspection agencies.