基于RFID与WSN技术的中药材溯源系统研究与应用

发布时间：2018-04-28 23:26

本文选题：二维码 + RFID　；参考：《宁夏大学》2017年硕士论文

【摘要】：物联网技术是一种集射频识别、传感器、全球定位等信息传感设备为一体的网络技术,可以将任何物品与互联网相连接,以实现智能化追踪、识别、监控和定位等功能,是互联网技术的一种延伸与扩展。产品溯源是指在产品生产与流通的各个阶段或环节中对其进行身份鉴别、资料准备、资料收集与保存以及资料验证的过程。将物联网技术应用在产品溯源系统中,能够提高溯源系统中的溯源效率以及准确性。本文以中药材溯源系统为背景,围绕二维码、RFID以及WSN等技术在溯源系统中的应用进行研究。溯源系统中产品信息的安全是产品防伪与溯源的一个重要前提,文章对二维码安全问题进行了研究,使用了 RSA算法对二维码进行了加密。RFID数据在采集时,会产生大量的冗余数据,文章改进了传统的过滤算法,提高了算法运行效率,节省了网络带宽。同时文章利用高斯过滤模型对数据源RSSI进行过滤,使用DBSCAN算法对估计位置进行剔除,减少了不可靠因素带来的误差,提高了定位的精度。文章最后设计了中药材溯源系统,将传感器技术、RFID技术以及无线传感网技术融入到溯源系统中,设计了基于ZigBee无线传感网的传感节点、协调器节点以及网关节点。最后展示了系统的整体框架与逻辑框架,使用Python语言结合Django框架初步完成了溯源系统,根据系统的具体要求对溯源环节与仓库环境监控环节进行了测试,结果显示系统可以稳定地运行,能够有效地实时监控产品的溯源信息。对于应用到实际的生产环境,系统仍需继续完善,需要融合更多的物联网技术。建立完善的中药材溯源体系,可以有效增强中药材流通过程中的信息透明度,遏制掺假、造假的现象出现,提高企业的管理水平和召回效率,增强了消费者对中药材产品的安全意识和政府对中药材质量安全的监管力度。随着溯源技术与物联网技术的继续完善,必将对国内经济的发展有着深远的意义。
[Abstract]:Internet of things (IoT) technology is a network technology that integrates RFID, sensor, global positioning and other information sensing devices. It can connect any object to the Internet to realize intelligent tracking, identification, monitoring and positioning functions. Is a kind of extension and extension of Internet technology. Product traceability refers to the process of identification, data preparation, data collection and preservation, and data verification in each stage or link of product production and circulation. The application of Internet of things technology in product traceability system can improve traceability efficiency and accuracy. In this paper, based on the traceability system of Chinese medicinal materials, the application of QR codes RFID and WSN in traceability system is studied. The security of product information in traceability system is an important prerequisite for product anti-counterfeiting and traceability. This paper studies the security of two-dimensional code, and uses RSA algorithm to encrypt the two-dimension code. This paper improves the traditional filtering algorithm, improves the efficiency of the algorithm and saves the bandwidth of the network. At the same time, Gao Si filter model is used to filter the data source RSSI, and DBSCAN algorithm is used to eliminate the estimated position, which reduces the error caused by unreliable factors and improves the accuracy of location. Finally, the traceability system of Chinese herbal medicine is designed. The sensor node, coordinator node and gateway node based on ZigBee wireless sensor network are designed by integrating the sensor technology and wireless sensor network technology into the traceability system. Finally, the whole framework and logic framework of the system are presented. The traceability system is preliminarily completed by using Python language and Django framework, and the traceability link and warehouse environment monitoring link are tested according to the specific requirements of the system. The results show that the system can run stably and monitor the traceability of the product in real time. For the practical production environment, the system still needs to be improved, and more Internet of things technologies need to be integrated. The establishment of a perfect traceability system of Chinese medicinal materials can effectively enhance the transparency of information in the course of circulation of Chinese medicinal materials, curb the phenomenon of adulteration and counterfeiting, and improve the management level and recall efficiency of enterprises. Increased consumer awareness of the safety of traditional Chinese medicine products and government supervision of quality and safety of Chinese medicinal materials. With the continuous improvement of traceability technology and Internet of things technology, it will have far-reaching significance to the development of domestic economy.
【学位授予单位】：宁夏大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：R288;TP391.44;TN92;TP212.9

【参考文献】