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浙江大学学报(农业与生命科学版)  2014, Vol. 40 Issue (5): 533-540    DOI: 10.3785/j.issn.1008-9209.2014.01.131
食品科学     
基于智能技术的蜂产品质量可追溯系统研发
游兆彤1*, 孔亚广2, 胡晓飞2, 陈天钧2
(1.浙江省农业科学院病毒学与生物技术研究所,杭州310021;2.杭州电子科技大学,杭州310018)
Research and development of quality traceability system based on intellectual technology for bee products
You Zhaotong1, Kong Yaguang2*, Hu Xiaofei2, Chen Tianjun2
(1. Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; 2.Hangzhou Dianzi University, Hangzhou 310018, China
)
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摘要: 该文针对蜂产品质量安全问题提出了一种以智能技术为基础的蜂产品质量可追溯系统。此系统结合C#/ASP.NET、3G、GPS、Android、数据库、条码自动识别、XML、HTTP、Google地图等相关技术,建立起了一条贯穿蜂场、合作社和企业的核心可追溯链,并最终以表现层、技术层和数据层3层分布式架构为基础的B/S模式来呈现效果。在这条可追溯链中,蜂场蜂农使用Android手机发送养蜂日志到网站服务器,开启了可追溯链;合作社负责人使用Android手机发送收购信息到网站数据库服务器,成为蜂农和企业联系的纽带;企业管理人员使用计算机将蜂产品加工信息上传至网站服务器,实现可追溯链的成形。通过实地调研国内试点蜂场和典型蜂业企业,以及借鉴目前优秀的食品质量安全可追溯系统,本系统实现了从原料来源到合作社收购、再到企业加工的质量安全信息可追溯,显著提高了蜂产品的质量,也最大程度上维护了蜂农、合作社、企业和消费者的利益。  
Abstract: The exposure of bee products quality and safety problems, which reflects the quality and safety traceability system in the bee products is lack of a practical standard in China. Chinese apiculture has a long history. Bee products not only sell well at home, and enjoy a good reputation overseas, thus to establish bee products management monitor system with advanced information technology, is particularly important. This paper aimed at solving the quality and safety problem of bee products by establishing a quality and safety traceability system based on an intellectual technology in the bee products chain. This system can solve the problem of non-standard production of honey, low production efficiency and no guarantee of raw material quality. It can help beekeepers to solve the problem of no logging record and traceability in the process of breeding. It can strengthen enterprise supervision of bee products processing for each part. This system can meet the interests of beekeepers, cooperatives, enterprises and consumers. Distinctive feature of this system is combined with C#/ASP.NET, 3G, GPS, Android, database, Bar code technologies, XML, HTTP, Google map and so on, which establish a “Apiary-Cooperative-Enterprise” traceability chain. In the apiary, beekeeper can carry an Android smartphone to send the beekeeping logs to the web server,starting the traceability chain. In cooperative, header can upload the key step of acquisition of information to the web server, and will become a link between beekeepers and enterprises. In the enterprise, manager can upload bee products processing information to the web server, allowing the traceability chain to form. Through investigating domestic typical apiaries and enterprises, and absorbing some experience from previous traceability system, this paper finally constructs a system which completes the raw material source to cooperative acquisition and enterprises processing, and also improves the quality safety of bee products. The results showed that: 1) It can be great helpful to establish a quality and safety traceability system in the field of bee products. Its useful to put forward a traceability system with its own characteristics through analyzing both of domestic and international research about the quality and safety of agricultural products traceability in this paper.
2) It has direct guidance significance to regarding “Apiary-Cooperatives-Enterprise” as three core traceability points through the on-the-spot investigation at both beekeeping pilot base and beekeeping enterprise.
3) It makes tremendous contribution to the realization of bee products traceability chain by using automatic identification technology of bar code technology. Meanwhile, its obvious that the merge of advanced communication technology and database technology will bring greatly facilitation  to store and manage the traceability key information. The quality and safety traceability system in the bee products chain should be built and implemented successfully, and rendered  the effect based on B/S architecture of C#/ASP.NET technology. It provides a certain reference value for the quality and safety of agricultural products traceability.  
出版日期: 2014-09-20
CLC:  S 896.8  
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游兆彤1*
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引用本文:

游兆彤1*, 孔亚广2, 胡晓飞2, 陈天钧2. 基于智能技术的蜂产品质量可追溯系统研发[J]. 浙江大学学报(农业与生命科学版), 2014, 40(5): 533-540.

You Zhaotong1, Kong Yaguang2*, Hu Xiaofei2, Chen Tianjun2. Research and development of quality traceability system based on intellectual technology for bee products. Journal of Zhejiang University (Agriculture and Life Sciences), 2014, 40(5): 533-540.

链接本文:

http://www.zjujournals.com/agr/CN/10.3785/j.issn.1008-9209.2014.01.131        http://www.zjujournals.com/agr/CN/Y2014/V40/I5/533

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[1] 游兆彤1*, 孔亚广2, 胡晓飞2, 陈天钧2. [J]. 浙江大学学报(农业与生命科学版), 0, (): 533-540.