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基于RFID技术的生猪全产业链溯源系统关键技术研究

发布时间:2018-04-09 15:00

  本文选题:猪肉食品安全 切入点:溯源 出处:《湖南农业大学》2016年硕士论文


【摘要】:目前,由于生猪行业的信息化水平普遍滞后,生猪养殖、屠宰加工、物流运输、产品销售等各环节获取的信息完整性、准确性较低以及各环节溯源信息之间缺乏有效的关联性,导致了生猪全产业链溯源信息的跟踪追溯成为了急需解决的问题。本文拟开展实施猪肉产品溯源信息跟踪追溯,实现生猪全产业链在养殖、屠宰加工、物流运输、销售等各个环节的信息数据跟踪追溯。结合溯源系统的结构进行分析,将射频识别技术、数据同步技术、数据库技术以及无线网络技术等关键技术应用到生猪全产业链的跟踪溯源系统的应用开发。通过对关键技术的学习研究,针对其不同的特点分析,提出了一套完整的生猪全产业链追踪溯源的具体方案,以保证生猪全产业链溯源过程中关键信息采集的准确性、安全性和实时性。针对RFID系统中多个标签同时与阅读器交互所产出的碰撞问题,以及二进制搜索算法中出现的信息冗余和搜索效率低的情况,提出一种改进二进制搜索防碰撞算法。该算法动态地调整阅读器发送的指令,利用标签冲突位构建识别树,从而大幅降低了阅读器与标签的交互次数及传输的数据量,有效地提高了标签识别的效率。构建生猪全产业链溯源系统。整个生猪溯源系统由标签信息管理子系统、生猪养殖信息管理子系统、屠宰加工信息管理子系统、流通运输信息管理子系统、产品销售信息管理子系统组成。采用C#基础语言研发基于C/S模式的应用子系统来管理生猪全产业链各个环节的数据信息。利用SQL Server2008数据库安全存储溯源信息,保证每个节点的信息能够安全、及时、准确的上传至中心服务器。
[Abstract]:At present, the information level of pig industry generally lags behind, pig breeding, slaughtering and processing, logistics transportation, product sales and other links to obtain information integrity, low accuracy and lack of effective correlation between each link traceability information.As a result of the whole pig industry chain traceability information traceability has become an urgent problem.This paper intends to carry out the tracing and tracing of pork product traceability information to realize the tracing and tracing of information and data in the whole industry chain of live pigs in the aspects of breeding, slaughtering and processing, logistics transportation, sales and so on.Combined with the structure of traceability system, the key technologies such as radio frequency identification (RFID), data synchronization, database and wireless network technology are applied to the application and development of the whole pig industry chain traceability system.Based on the study of key technology and the analysis of its different characteristics, this paper puts forward a set of concrete schemes for tracing the whole pig industry chain to ensure the accuracy of the key information collection in the whole pig industry chain tracing process.Security and real-time.Aiming at the collision problem caused by multiple tags interacting with readers in RFID system, and the information redundancy and low search efficiency in binary search algorithm, an improved binary search anti-collision algorithm is proposed.The algorithm dynamically adjusts the instructions sent by the reader and constructs the recognition tree by using the tag collision bit, which greatly reduces the number of interactions between the reader and the tag and the amount of data transmitted, and effectively improves the efficiency of tag recognition.Build the whole pig industry chain traceability system.The whole traceability system consists of label information management subsystem, pig breeding information management subsystem, slaughtering and processing information management subsystem, circulation transportation information management subsystem and product sales information management subsystem.C # basic language is used to develop the application subsystem based on C / S model to manage the data information of the whole pig industry chain.The SQL Server2008 database is used to store traceability information safely, so that the information of each node can be safely, timely and accurately uploaded to the central server.
【学位授予单位】:湖南农业大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:F326.3;TP391.44

【引证文献】

相关期刊论文 前1条

1 胡敏;刘波平;舒令花;杨运平;裘锋;王蕾;戴欢;;基于RFID和二维码的猪肉制品质量安全追溯平台的构建[J];安徽农业科学;2017年26期



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