物联网RFID技术在KG公司生产流程中的应用研究

发布时间：2018-04-27 05:40

本文选题：物联网 + 服装　；参考：《湖南工业大学》2015年硕士论文

【摘要】：随着信息化电子化的科技不断发展,服装行业要想跟上不断变化的市场就不得不加入技术改变的潮流。21世纪以来市场竞争激烈,信息产业技术迅猛发展,外界需求的差异性不断扩大,企业要想在市场残酷的竞争中求生存谋发展,就必须跟上市场需求多样化、多品种、多批次与高质量地步伐。要应对实时发生变化的市场,新型、先进和有效的生产模式便成为企业发展的核心内容。本文的重点是研究服装生产企业如何引入先进的物联网技术对生产流程重新进行构建,并且对具体企业给出了具体的建议措施。本文首先对现行的服装业生产加工作业进行分析说明实施物联网技术的可能性,同时由于在RFID技术的使用过程中标签读取的有效问题一直是使用过程中的难题,多标签的读取有效性问题急待解决。本文使用了新的防止标签读取错误的方法来解决有关问题。并对物联网技术如何配置在服装业的具体情况结合相关技术与算法进行了详细的论述。结合北京KG服装生产企业说明了具体的构架措施。同时结合服装厂实际,本文提出了RFID技术应用中防碰撞解决的方法FCFS并验证了其有效性。对于数据采集与筛选方面给出了实施措施。引入遗传算法,有效地解决了服装制备过程中的生产流程问题。
[Abstract]:With the continuous development of information technology, the clothing industry must join the trend of technology change in order to keep up with the changing market. Since the 21st century, the market competition has been fierce, and the information industry technology has developed rapidly. The difference of external demand is expanding constantly. If enterprises want to survive and develop in the cruel competition of market, they must keep up with the market demand diversification, variety, batch and high quality step. In order to deal with the real-time changing market, new, advanced and effective production mode becomes the core content of enterprise development. The emphasis of this paper is to study how to introduce the advanced Internet of things technology to rebuild the production process of garment manufacturing enterprises, and give specific suggestions to the specific enterprises. In this paper, the possibility of implementing the Internet of things technology is explained by analyzing the current production and processing jobs in the garment industry. At the same time, the effective problem of tag reading in the use of RFID technology is always a difficult problem in the process of use. The problem of reading validity of multi-label is urgent to be solved. This article uses a new method to prevent tag reading errors to solve the problem. And how to configure the Internet of things technology in the clothing industry combined with the relevant technology and algorithm are discussed in detail. Combined with Beijing KG garment production enterprises explained the specific framework measures. At the same time, combined with the actual situation of garment factory, this paper puts forward the anti-collision solution method FCFS in the application of RFID technology and verifies its validity. The implementation measures for data acquisition and screening are given. Genetic algorithm is introduced to solve the problem of production flow effectively.
【学位授予单位】：湖南工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F273;F426.86;TP391.44

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