基于SSM框架的化肥电子商务数据可视化系统的设计与实现

发布时间：2018-10-15 16:41

【摘要】：我国电子商务行业发展飞快,企业业务不断扩张,电子商务平台不断涌现,其中包括各类化肥电子商务平台和系统。然而,化肥电子商务系统中,面对纷繁复杂的数据,使用普通数据库存储、以图形、图表或报表形式展示,已经难以满足客户在大数据时代,对海量的具有多维度特性的数据进行可视化展示与数据挖掘的需求,同时也不易决策者直观地进行高效决策。针对这些问题,本论文中,我们针对化肥电子商务系统数据的特征,采用基于SSM框架的数据可视化技术,研究大数据时代化肥电子商务系统数据可视化的系统解决方案。首先,从化肥电子商务数据可视化系统需求出发,我们调研了现有的数据可视化技术,包括Google Charts.D3.Processing.R和AmCharts等多种数据可视化工具,并最终确定了采用基于SSM框架的数据可视化技术进行系统研发。其次,对化肥电子商务数据可视化系统进行了详细的系统分析,提出了基于SSM框架的数据可视化解决方案。设计了可视化系统的功能模块,包括多维分析报表、数据透视、数据统计、促销管理和其它模块等。然后,使用StarUML方法对总体功能和流程进行建模,运用Spring,Spring MVC和Mybatis等成熟稳定的框架技术,以及选择合适的数据可视化技术,对系统进行总体设计和开发。然后,我们对可视化系统进行功能测试,随后进行性能测试。通过对测试结果的分析,证明了我们的解决方案,能够满足客户的总体需求。从原有“报价收款,找车开票”等繁琐工作中,把用户解脱出来。在农化方面的工作中,可以投入更多的精力。一方面,客户服务效率大大提高了,另一方面,客户满意度也随之提升。系统有助于持续压缩环节,降低产品成本,提升服务质量。与原有系统相比,具备操作更直观、数据更有效、查询更迅速、系统更健壮等特点。最后,我们对本论文的研究可视化工作进行总结与展望。
[Abstract]:With the rapid development of e-commerce industry in China, the business of enterprises is expanding constantly, and e-commerce platforms are emerging, including all kinds of chemical fertilizer e-commerce platforms and systems. However, in the chemical fertilizer electronic commerce system, in the face of numerous and complicated data, the ordinary database is used to store, display in the form of graph, chart or report form, it is already difficult to satisfy the customer in big data time, It is necessary to visualize and mine massive multi-dimensional data, and it is not easy for decision makers to make efficient decision directly at the same time. Aiming at these problems, according to the characteristics of chemical fertilizer electronic commerce system data, we adopt the data visualization technology based on SSM framework to study the system solution of chemical fertilizer electronic commerce system data visualization in big data era. First of all, according to the requirement of chemical fertilizer electronic commerce data visualization system, we have investigated the existing data visualization technology, including many kinds of data visualization tools, such as Google Charts.D3.Processing.R and AmCharts. Finally, the data visualization technology based on SSM framework is adopted to develop the system. Secondly, the system of chemical fertilizer electronic commerce data visualization is analyzed in detail, and the solution of data visualization based on SSM framework is put forward. The function modules of the visualization system are designed, including multidimensional analysis report, data perspective, data statistics, promotion management and other modules. Then, using StarUML method to model the overall function and process, using mature and stable framework technology such as Spring,Spring MVC and Mybatis, and selecting appropriate data visualization technology, the system is designed and developed. Then, we test the function of the visual system, and then test the performance. Through the analysis of the test results, it is proved that our solution can meet the overall needs of customers. From the original "collection of quotations, car billing" and other tedious work, the user out. We can put more energy into the agricultural work. On the one hand, customer service efficiency has been greatly improved, on the other hand, customer satisfaction is also improved. The system helps to reduce the cost of products and improve the quality of service. Compared with the original system, it has the advantages of more intuitive operation, more efficient data, faster query and more robust system. Finally, we summarize and prospect the research work of visualization in this paper.
【学位授予单位】：中国科学院大学(工程管理与信息技术学院)
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP311.52

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