超市电商化生鲜肉安全信息实时监测及配送方法研究

发布时间：2018-01-04 15:15

本文关键词：超市电商化生鲜肉安全信息实时监测及配送方法研究　出处：《湖北工业大学》2015年硕士论文　论文类型：学位论文

【摘要】：“互联网+”与传统行业融合发展是知识社会创新2.0推动下的互联网形态演进及其催生的经济社会发展新形态。本文针对传统零售业急需战略变革下,电子商务崛起遇到生鲜商品销售滞后发展的瓶颈,研究了生鲜肉类新鲜度无损检测和冷链物流路径优化问题,大型连锁超市电商化过程中的生鲜商品品质安全信息渠道问题和冷链物流配送策略问题进行了探究。并利用气味传感器网络技术、RFID和Zigbee无线传输技术、模糊综合评价法和遗传算法等理论,提出了在电商平台上销售超市中可追溯、可知新鲜度的生鲜肉的新型超市运行模式,将生鲜肉类品质安全信息、物流状态信息和运输决策优化信息应用融合到超市电商化平台中,以提升连锁超市电商化的市场潜力。主要研究内容与结论如下:(1)将Zigbee、GPS等技术应用于系统平台中,搭建基于物联网三层模型的超市电商系统框架,并设计了生鲜商品品质安全信息和冷链物流状态信息实时监测功能的软硬件基础。从技术层面可以实现消费者从电商平台上查询到生鲜商品的品质安全信息、实时环境信息、物流跟踪信息等。(2)将电子鼻气味检测方法与国标规定的挥发性盐基氮检测方法综合应用于对生鲜肉类产品的品质检测。通过二维PCA算法可以很好的区分样品,贡献率最高可达98.175%。两种检测结果有很好的相关性,论证了利用气敏传感器和PCA算法相结合对生鲜肉品质无损检测是可行的,并提供了气敏传感器的选型依据。(3)连锁超市电商化具有配送距离短的物流优势。在其物流优势的基础上,利用层次分析法、模糊综合评价法以及遗传算法对超市实际冷链物流问题进行三步式解析,综合得出最优冷链物流策略。节省成本、时间的同时,改善了服务质量,对连锁超市电商化冷链物流的发展起到推动作用。
[Abstract]:The integration of Internet and traditional industries is a new form of economic and social development promoted by the innovation 2.0 of knowledge society. This paper aims at the strategic reform of traditional retailing industry. The rise of e-commerce meets the bottleneck of the backward development of fresh goods sales. The non-destructive testing of fresh meat freshness and the optimization of cold chain logistics path are studied. The problem of quality and safety information channel of fresh goods and the strategy of cold chain logistics distribution in the process of E-commerce of large chain supermarkets are discussed, and the technology of smell sensor network is used. RFID and Zigbee wireless transmission technology, fuzzy comprehensive evaluation method and genetic algorithm theory, put forward in the e-commerce platform sales supermarket traceability. We know the fresh fresh meat new supermarket operation mode, the fresh meat quality and safety information, logistics status information and transportation decision-making optimization information application to the supermarket e-commerce platform. In order to enhance the market potential of chain supermarket e-commerce. The main research contents and conclusions are as follows: 1) Zigbee GPS and other technologies are applied to the system platform. Build the framework of the supermarket e-commerce system based on the three-layer model of the Internet of things. The software and hardware foundation of the real-time monitoring function of fresh commodity quality safety information and cold chain logistics state information is designed. From the technical level, consumers can query the quality safety information of fresh goods from e-commerce platform. Real time environment information. Logistics tracking information etc. 2). The electronic nose odor detection method and the volatile base nitrogen detection method stipulated in the national standard are applied to the quality detection of fresh meat products. The two-dimensional PCA algorithm can be used to distinguish the samples. The highest contribution rate can be up to 98.175. There is a good correlation between the two detection results. It is feasible to combine the gas sensor and PCA algorithm to detect the quality of fresh meat. It also provides the selection basis of gas sensor. 3) chain supermarket e-commerce has the logistics advantage of short distribution distance. On the basis of its logistics advantage, the analytic hierarchy process (AHP) is used. The fuzzy comprehensive evaluation method and genetic algorithm are used to analyze the actual cold chain logistics problem in supermarket, and the optimal cold chain logistics strategy is obtained synthetically, which saves cost and time, and improves the service quality at the same time. Chain supermarkets to promote the development of electronic cold chain logistics.
【学位授予单位】：湖北工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP18;F721.7;F252

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