【摘要】：我國(guó)電子商務(wù)行業(yè)發(fā)展飛快,企業(yè)業(yè)務(wù)不斷擴(kuò)張,電子商務(wù)平臺(tái)不斷涌現(xiàn),其中包括各類化肥電子商務(wù)平臺(tái)和系統(tǒng)。然而,化肥電子商務(wù)系統(tǒng)中,面對(duì)紛繁復(fù)雜的數(shù)據(jù),使用普通數(shù)據(jù)庫(kù)存儲(chǔ)、以圖形、圖表或報(bào)表形式展示,已經(jīng)難以滿足客戶在大數(shù)據(jù)時(shí)代,對(duì)海量的具有多維度特性的數(shù)據(jù)進(jìn)行可視化展示與數(shù)據(jù)挖掘的需求,同時(shí)也不易決策者直觀地進(jìn)行高效決策。針對(duì)這些問(wèn)題,本論文中,我們針對(duì)化肥電子商務(wù)系統(tǒng)數(shù)據(jù)的特征,采用基于SSM框架的數(shù)據(jù)可視化技術(shù),研究大數(shù)據(jù)時(shí)代化肥電子商務(wù)系統(tǒng)數(shù)據(jù)可視化的系統(tǒng)解決方案。首先,從化肥電子商務(wù)數(shù)據(jù)可視化系統(tǒng)需求出發(fā),我們調(diào)研了現(xiàn)有的數(shù)據(jù)可視化技術(shù),包括Google Charts.D3.Processing.R和AmCharts等多種數(shù)據(jù)可視化工具,并最終確定了采用基于SSM框架的數(shù)據(jù)可視化技術(shù)進(jìn)行系統(tǒng)研發(fā)。其次,對(duì)化肥電子商務(wù)數(shù)據(jù)可視化系統(tǒng)進(jìn)行了詳細(xì)的系統(tǒng)分析,提出了基于SSM框架的數(shù)據(jù)可視化解決方案。設(shè)計(jì)了可視化系統(tǒng)的功能模塊,包括多維分析報(bào)表、數(shù)據(jù)透視、數(shù)據(jù)統(tǒng)計(jì)、促銷管理和其它模塊等。然后,使用StarUML方法對(duì)總體功能和流程進(jìn)行建模,運(yùn)用Spring,Spring MVC和Mybatis等成熟穩(wěn)定的框架技術(shù),以及選擇合適的數(shù)據(jù)可視化技術(shù),對(duì)系統(tǒng)進(jìn)行總體設(shè)計(jì)和開發(fā)。然后,我們對(duì)可視化系統(tǒng)進(jìn)行功能測(cè)試,隨后進(jìn)行性能測(cè)試。通過(guò)對(duì)測(cè)試結(jié)果的分析,證明了我們的解決方案,能夠滿足客戶的總體需求。從原有“報(bào)價(jià)收款,找車開票”等繁瑣工作中,把用戶解脫出來(lái)。在農(nóng)化方面的工作中,可以投入更多的精力。一方面,客戶服務(wù)效率大大提高了,另一方面,客戶滿意度也隨之提升。系統(tǒng)有助于持續(xù)壓縮環(huán)節(jié),降低產(chǎn)品成本,提升服務(wù)質(zhì)量。與原有系統(tǒng)相比,具備操作更直觀、數(shù)據(jù)更有效、查詢更迅速、系統(tǒng)更健壯等特點(diǎn)。最后,我們對(duì)本論文的研究可視化工作進(jìn)行總結(jié)與展望。
[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.
【學(xué)位授予單位】：中國(guó)科學(xué)院大學(xué)(工程管理與信息技術(shù)學(xué)院)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TP311.52

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