基于分级处理生产线的脐橙全程追溯系统

发布时间：2018-03-29 21:23

本文选题：水果　切入点：分极　出处：《农业工程学报》2013年05期

【摘要】：商品化分级处理是水果采后一系列加工和增值流程的组合,是水果供应链的关键环节。基于机器视觉和近红外检测技术的自动化水果加工分级流水线不仅极大提高了处理效率,而且使单个果品的精确品质检测成为可能。该文以中国代表性的水果—脐橙为例,探讨了以水果加工配送中心为核心的水果供应链中物流批次整合与分解问题、加工分级处理前后物流单元转换问题及供应链各实体间物流信息流脱节问题,有针对性地提出一套脐橙全程追溯方案,包括结合中国目前水果生产实际并与GS1编码体系兼容的编码和标识方案、基于供应链角色的信息管理系统和相关配套硬件装置,并在浙江某果品公司供应链进行了试用,结果表明系统可以成功区分脐橙的生产、加工、流通的不同批次并获取全程追溯信息,但存在信息输入量大及不规范的问题。研究对复杂供应链流程下小个体水果全程批次可追溯作了尝试和探索,为包含加工分级流程的水果全程追溯研究提供参考。
[Abstract]:Processing and grading is a combination of a series of processing and value-added process of fruits, fruit is a key link in the supply chain. The automation of processing of fruit grading pipeline of machine vision and near infrared detection technology not only greatly improve the processing efficiency and quality detection based on the precision of single fruit as possible. In this paper, the fruit. Orange China represent as an example, discusses the problem of integration and decomposition of logistics supply chain to batches of fruit fruit processing and distribution center as the core processing, grading before and after treatment of logistics unit conversion and supply chain logistics information flow between the various entities from problems, puts forward a fruit traceability scheme, including the combination of encoding and identification at present the actual production and fruit Chinese scheme and GS1 encoding system compatible with the information management system of supply chain role and related device based on hardware, and A trial was conducted in a Zhejiang fruit company supply chain, the results show that the system can successfully distinguish between navel orange production, processing, circulation of different batches and obtain full traceability information, but there is large amount of information input and non-standard problems. Research on complex supply chain process under a small body of fruit whole lot traceability attempt and to explore, to provide a reference for the processing of fruit grading process contains full traceability.

【作者单位】：浙江大学生物系统工程与食品科学学院;农业部设施农业装备与信息化重点实验室;浙江理工大学信息学院;
【基金】：“十二五”国家科技支撑计划资助项目(2011BAD20B12)
【分类号】：S24;S666.4

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