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基于物联网技术的藜麦可追溯系统的研究与示范

李健 黄彦博 陈光 王义 张敏

吉林农业大学学报2017,Vol.39Issue(5):624-630,7.
吉林农业大学学报2017,Vol.39Issue(5):624-630,7.DOI:10.13327/j.jjlau.2017.3609

基于物联网技术的藜麦可追溯系统的研究与示范

Research and Demonstration of Traceability System of Quinoa Based on the Technology of Internet of Things

李健 1黄彦博 1陈光 2王义 2张敏1

作者信息

  • 1. 吉林农业大学信息技术学院,长春130118
  • 2. 吉林农业大学生命科学学院,长春130118
  • 折叠

摘要

Abstract

Acquisition and storage of quinoa production and supply data,establishment of quinoa traceability system network architecture,and tracing and evaluation of quinoa industry endpoint were studied.By using RFID technology,QR code technology,network information technology and SQL Server database,a set of quinoa traceability system was set up.Data acquisition and storage of the whole supply chain information,from quinoa seed selection and planting to warehousing,transportation and sales,were accomplished.And based on the system,quinoa industry comprehensive status in the multiple quinoa industry chain synthesis area was analyzed by joining the multi-objective fuzzy comprehensive evaluation algorithm.By the algorithm,quinoa company can comprehensively synthesize the key indicators of each link of quinoa industrial chain to evaluate the industrial chain operation,and monitor and analyze the regional overall development trend of quinoa industry through regular fuzzy comprehensive evaluation.Consumers can inquire the detailed full supply cycle information of the quinoa products bought through web or mobile terminal.The ultimate results of the study have been applied to quinoa production of Jingyu city,Shuangyang district and other places of Jilin province,and one NCA software copyright has been obtained.

关键词

藜麦/物联网/可追溯系统/模糊综合评价

Key words

quinoa/internet of things/traceability system/fuzzy analysis method

分类

农业科技

引用本文复制引用

李健,黄彦博,陈光,王义,张敏..基于物联网技术的藜麦可追溯系统的研究与示范[J].吉林农业大学学报,2017,39(5):624-630,7.

基金项目

国家自然科学基金项目(41601454),吉林省科技发展计划项目(20140204045NY.20150204058NY.20160519014JH),吉林省教育厅“十三五”科学技术研究项目(JJKH20170296KJ),第八批吉林省工程研究中心项目,吉林省教育厅高校创新团队项目,吉林省省级产业创新专项资金项目(2017C038),国家科技部农业科技成果转化项目(2014GB2B100021),国家星火计划项目(2015GA660008),长春市科技计划项目(14NK027) (41601454)

吉林农业大学学报

OA北大核心CSCDCSTPCD

1000-5684

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