引用本文:田 硕,解丹丹,尤其浩,洪武斌,张明哲,史 舟 ※.基于大数据的进口农产品溯源系统设计与实现[J].中国农业信息,2020,32(1):39-45
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基于大数据的进口农产品溯源系统设计与实现
田 硕1,解丹丹1,尤其浩1,洪武斌1,张明哲2,史 舟 ※1
1.浙江大学环境与资源学院,杭州 310058;2.浙江省检验检疫科学技术研究院,杭州 311208
摘要:
【目的】随着我国农产品进口规模不断扩大,人们对进口农产品质量安全的重视程度 不断增加,进口农产品的质量安全管理越发重要。传统的农产品溯源查询系统在多源数据采 集、数据共享、数据处理能力等方面存在局限性,难以满足日益增长的溯源查询需求。文章 将大数据与云计算技术引入进口农产品质量溯源系统,为进口农产品溯源管理提供高效的解 决方案。【方法】该文利用 WebGIS、Node.js、数据库开发等技术,介绍了基于大数据和云计 算技术的进口农产品溯源系统的设计与实现。系统包括溯源信息查询、防伪验证查询和投诉 举报 3 个功能模块。【结果】实现了对进口农产品溯源数据的分布式动态采集,并以跨平台、 多终端的方式为监管部门提供舆情监控、举报频次热度追踪等服务,为企业提供进口农产品 追踪与管理服务,为消费者提供包括产品、企业、追溯信息、检疫检测等信息的进口农产品 溯源信息查询服务。【结论】对进口农产品问题的及时发现、及时追查、及时控制,能减少 进口农产品质量问题,保障进口农产品质量安全,维护消费者和生产企业的权益具有积极的 作用。
关键词:  大数据;云计算;溯源系统;进口农产品
DOI:10.12105/j.issn.1672-0423.20200105
分类号:
基金项目:2018 年浙江省重点研发计划项目“进口食用农产品质量安全识别与溯源技术研究”(2018C02041)
Design and application of imported agricultural productstraceability system based on big data
Tian Shuo1, Xie Dandan1, You Qihao1, Hong Wubin1, Zhang Mingzhe2, Shi Zhou ※1
1.College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310058,China;2.Zhejiang Academy of Science and Technology for Inspection and Quarantine,Hangzhou 311208,China
Abstract:
[Purpose]As the volume of China’s imported agricultural products continues to increase,people pay more and more attention to the quality and safety of the imported agricultural products,which is also very important to the quality and safety management of imported agricultural products. The traditional agricultural product traceability query system has limitations in multi-source data collection,data sharing,data processing capabilities,etc.,and it is difficult to meet the growing demand for traceability query. The article introduces a big data and cloud computing technology into the quality traceability system of imported agricultural products to provide efficient solutions for the traceability management of imported agricultural products. [Method]The article uses WebGIS,Node,database development and other technologies to introduce the design and application of the imported agricultural products traceability system based on big data and cloud computing technology. The system includes three functional modules: traceability information query,anti-counterfeiting verification query and complaint report. [Result]The system realizes distributed dynamic collection of traceability data of imported agricultural products,and provides public opinion monitoring,reporting frequency tracking and other services for regulatory authorities,providing imported agricultural products tracking and management services for enterprises,and providing consumers inquiry service for traceability of imported agricultural products including products,enterprises,traceability information, quarantine inspection and other information.[Conclusion]The timely discovery,timely tracing,and timely control of imported agricultural products have a positive effect on reducing the quality of imported agricultural products,ensuring the quality and safety of imported agricultural products,and safeguarding the rights and interests of consumers and enterprises.
Key words:  big data;cloud computing;traceability system;imported agricultural products