本文選題：鐵路統(tǒng)計(jì)數(shù)據(jù) + 信息化　； 參考：《蘭州交通大學(xué)》2016年碩士論文

【摘要】：隨著鐵路運(yùn)輸經(jīng)營和建設(shè)快速發(fā)展,鐵路統(tǒng)計(jì)部門下堆積了大量的業(yè)務(wù)基礎(chǔ)數(shù)據(jù),而鐵路各系統(tǒng)在信息共享、信息交流方面還存在一定缺陷,導(dǎo)致眾多的鐵路信息分散起來,很難保持?jǐn)?shù)據(jù)的整體性和統(tǒng)一性,數(shù)據(jù)的利用價(jià)值不高,亦不利于為鐵路部門提供完整而精準(zhǔn)的決策信息�；谝陨蠁栴},為更好的發(fā)展鐵路信息系統(tǒng),完善鐵路數(shù)據(jù)統(tǒng)計(jì)工作,亟需對數(shù)據(jù)整理、加工、挖掘出深層信息,利用大數(shù)據(jù)相關(guān)技術(shù)為鐵路決策部門提供建設(shè)性強(qiáng)、參考性高、科學(xué)及有效的依據(jù)。論文通過對我國鐵路信息化建設(shè)方面現(xiàn)有的各種缺陷和不足研究基礎(chǔ)上,分析了在我國鐵路統(tǒng)計(jì)部門利用大數(shù)據(jù)實(shí)現(xiàn)信息管理平臺(tái)的現(xiàn)實(shí)意義,在分析和闡述鐵路業(yè)統(tǒng)計(jì)流程現(xiàn)狀、鐵路統(tǒng)計(jì)大數(shù)據(jù)現(xiàn)狀、指標(biāo)體系以及大數(shù)據(jù)驅(qū)動(dòng)鐵路統(tǒng)計(jì)新需求方面之后,根據(jù)選擇方案,介紹了數(shù)據(jù)倉庫以及大數(shù)據(jù)相關(guān)技術(shù);論文針對鐵路統(tǒng)計(jì)數(shù)據(jù)資源特點(diǎn)的數(shù)據(jù)信息管理平臺(tái)的設(shè)計(jì)思想,提出平臺(tái)架構(gòu)設(shè)計(jì)的業(yè)務(wù)需求,在此基礎(chǔ)上對平臺(tái)系統(tǒng)中的報(bào)表查詢、自定義查詢、目標(biāo)分析、綜合應(yīng)用等模塊進(jìn)行了初步設(shè)計(jì)規(guī)劃;最后根據(jù)鐵路運(yùn)輸應(yīng)用大數(shù)據(jù)技術(shù)的需求分析,提出包括總體、應(yīng)用以及技術(shù)構(gòu)架的鐵路運(yùn)輸統(tǒng)計(jì)大數(shù)據(jù)解決方案。在新時(shí)期的背景下,鐵路統(tǒng)計(jì)部門的管理理念要與時(shí)俱進(jìn),不斷適應(yīng)新的發(fā)展趨勢并主要圍繞鐵路整體經(jīng)營來展開,通過建立鐵路運(yùn)輸統(tǒng)計(jì)信息管理平臺(tái)以期解決鐵路部門決策部署、組織規(guī)劃等問題,最終使鐵路部門信息化水平不斷進(jìn)步實(shí)現(xiàn)鐵路運(yùn)輸企業(yè)的穩(wěn)步、持續(xù)地發(fā)展。
[Abstract]:With the rapid development of railway transportation management and construction, a large number of basic business data have been accumulated under the railway statistics department. However, there are still some defects in information sharing and information exchange among railway systems, which leads to a large number of railway information scattered. It is difficult to maintain the integrity and unity of the data, and the utilization value of the data is not high, which is not conducive to providing complete and accurate decision-making information for the railway department. Based on the above problems, in order to better develop railway information system and improve railway data statistics, it is urgent to sort out, process and dig out the deep information, and to use big data related technology to provide constructive and strong information for railway decision-making departments. High reference, scientific and effective basis. Based on the research on the defects and shortcomings of railway information construction in China, this paper analyzes the practical significance of using big data to realize the information management platform in the railway statistics department of our country. After analyzing and expounding the current situation of railway statistical process, the present situation of railway statistics big data, the index system and the new demand of big data driving railway statistics, the paper introduces the data warehouse and big data related technology according to the selected scheme. Aiming at the design idea of the data information management platform based on the characteristics of railway statistical data resources, this paper puts forward the business requirements of platform architecture design, and on the basis of this, the report form query, custom query, target analysis in the platform system are presented. Finally, according to the demand analysis of railway transportation application big data technology, the paper puts forward the railway transport statistical big data solution including the overall, application and technical framework. Under the background of the new period, the management idea of the railway statistics department should keep pace with the times, adapt to the new development trend and mainly revolve around the overall management of the railway. Through the establishment of railway transportation statistical information management platform to solve the problems of railway departments' decision and arrangement, organization and planning, the level of railway departments' informatization will be continuously improved to realize the steady and sustainable development of railway transport enterprises.
【學(xué)位授予單位】：蘭州交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：U29-39;TP311.13

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