基于二维QR码的物流数据管理系统的研究

发布时间：2019-01-05 02:07

【摘要】：物流数据的全程管理对提升物流行业的智能化和信息化水平有着十分重要的作用。近年来,物流业务量随着经济的发展而持续增加,但是由于企业的智能化和信息化水平低下的原因,企业目前还主要依靠增加从业人员数量来应对业务的增长,结果是企业的盈利水平并没有因为业务量增加而得到增长。为了提高企业的盈利能力以及提升行业的智能化和信息化水平,对于如何将业务前端由物流人员处理的数据自动地加入到企业的数据管理中去就显得尤为重要。本文提出了基于物流二维QR(Quick Response)码识别技术的物流数据管理系统。该系统的主要目的是将业务前端的数据获取过程自动地完成,以及避免人工参与识别数据的过程。从技术上来看,系统定义了标准的物流信息数据格式,将其以二维QR码的方式从源端开始信息化;在信息识读时,采用数字图像处理以及遗传算法(Genetic Algorithm)等技术,一定程度上解决了信息传递过程中的发生错误的问题,提高了传递效率。本文的主要研究工作如下:1.提出基于物流二维QR码技术的物流数据管理系统的框架结构。本文利用二维QR码技术,提出以物流二维QR码来存储物流信息,从信息源端就开始使用电子化的数据,在所有后续过程都以该二维QR码作为唯一索引的物流数据管理系统。该系统包括两个主要的部分:物流二维QR码生成软件和物流二维QR码移动识别终端系统。2.开发为物流用户使用的物流二维QR码生成软件。本文同物流企业合作调研,采集他们的实际需求,定义出物流信息字段格式标准。以此为基础,开发物流二维QR码生成软件,帮助用户在线上及线下自由地将他们的物流信息转换成符合物流自动识别要求的二维QR码。3.完成物流二维QR码的移动识别终端系统设计。本文针对物流人员移动作业需求,开发方便于户外作业的移动识别系统,用于物流人员及时地同企业数据中心交互物流二维QR码的信息。移动终端设计涵盖了硬件的功能模块设计以及软件的基于数字图像处理技术的识别算法设计等。4.引入遗传算法以提高识别速度及对其实际应用效果进行改进。本文在物流二维QR码的寻像图形模板匹配中过程中引入遗传算法,提高了系统的响应速度和识别准确性。并结合物流二维QR码符号特征,针对遗传算法的应用缺点,提出经过改进后的设计算法。最后,对本文中设计的主要算法使用实物数据进行验证,通过对比实际的应用效果来证明算法的合理性及有效性。
[Abstract]:The whole process management of logistics data plays an important role in improving the intelligence and information level of logistics industry. In recent years, the volume of logistics business continues to increase with the development of economy. However, due to the low level of intelligence and information, enterprises mainly rely on increasing the number of employees to cope with the growth of business. As a result, the profit level of the enterprise has not increased as a result of the increase in business volume. In order to improve the profitability of enterprises and enhance the intelligence and information level of the industry, it is particularly important how to automatically add the data from the front end of business to the data management of enterprises. This paper presents a logistics data management system based on two-dimensional logistics QR (Quick Response) code identification technology. The main purpose of the system is to automatically complete the data acquisition process of the service front end and to avoid manual participation in the process of identifying the data. From the technical point of view, the system defines the standard data format of logistics information, and starts the information from the source by the way of two-dimensional QR code. In information reading, digital image processing and genetic algorithm (Genetic Algorithm) are used to solve the problem of error in the process of information transmission to some extent, and improve the efficiency of information transmission. The main work of this paper is as follows: 1. The framework of logistics data management system based on two-dimensional logistics QR code technology is proposed. Using two-dimensional QR code technology, this paper proposes a logistics data management system which stores logistics information with two-dimensional QR code and uses electronic data from the source end of the information source. In all subsequent processes, the two-dimensional QR code is used as the unique index of the logistics data management system. The system consists of two main parts: logistics two-dimensional QR code generation software and logistics two-dimensional QR code mobile identification terminal system. 2. Develop logistics two-dimensional QR code generation software for logistics users. In this paper, logistics enterprises cooperate with research, collect their actual needs, define logistics information field format standard. Based on this, a software for generating 2D QR codes is developed to help users freely convert their logistics information online and offline into 2D QR codes that meet the requirements of automatic identification of logistics. 3. The design of mobile identification terminal system of two-dimensional logistics QR code is completed. In this paper, a mobile identification system, which is convenient for outdoor work, is developed to meet the needs of logistics personnel's mobile operation, which is used to exchange the information of logistics two-dimensional QR code with enterprise data center in time. The design of mobile terminal includes the design of function module of hardware and the design of recognition algorithm based on digital image processing technology. 4. Genetic algorithm is introduced to improve the speed of recognition and improve its practical application. In this paper, genetic algorithm is introduced in the process of pattern matching of two-dimensional QR codes in logistics, which improves the response speed and recognition accuracy of the system. According to the symbol feature of logistics two-dimensional QR code and the shortcomings of genetic algorithm, an improved design algorithm is proposed. Finally, the main algorithms designed in this paper are verified by using physical data, and the rationality and validity of the algorithm are proved by comparing the actual application results.
【学位授予单位】：上海交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP311.52;TP391.44

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