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计算机工程 ›› 2010, Vol. 36 ›› Issue (15): 277-279. doi: 10.3969/j.issn.1000-3428.2010.15.098

• 开发研究与设计技术 • 上一篇    下一篇

南美白对虾货架期智能预测装置

刘慧芳,陈 明,谢 晶   

  1. (上海海洋大学信息学院,上海 201306)
  • 出版日期:2010-08-05 发布日期:2010-08-25
  • 作者简介:刘慧芳(1985-),女,硕士研究生,主研方向:嵌入式系统;陈 明、谢 晶,教授
  • 基金资助:
    国家“863”计划基金资助项目(2007AA10Z23236101);国家“863”计划基金资助重点项目“猪肉产品绿色供应链技术创新与设备研制”(2008AA100804)

Intelligent Shelf-life Prediction Device of Peneaus Vannamei

LIU Hui-fang, CHEN Ming, XIE Jing   

  1. (Information College, Shanghai Ocean University, Shanghai 201306)
  • Online:2010-08-05 Published:2010-08-25

摘要: 针对现有食品货架期预测装置存在的缺点,设计一种智能货架期预测装置。该装置中的南美白对虾货架期预测算法基于时间-温度指示器理论及K-means算法实现,在不同的温度和时间段条件采用不同的算法预测货架期。实验结果表明,与现有预测装置相比,该装置能精确预测货架期,且功耗低、体积小。

关键词: 嵌入式系统, 货架期, 时间-温度指示器, K-means算法

Abstract: Aiming at the disadvantages of the current shelf-life prediction device, a new intelligent prediction device is proposed in this paper. The shelf-life prediction algorithm of penaeus vannamei is based on the theory of Time-Temperature Indicator(TTI) and K-means algorithm. Different prediction algorithm is adopted to predict shelf-life according to the corresponding temperature and stage of penaeus vannamei. Compared with the previous, this device can not only accurately predict the shelf-life, but also has low power consumption and small size.

Key words: embedded system, shelf-life, Time-Temperature Indicator(TTI), K-means algorithm

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