本文選題：海事　切入點(diǎn)：大數(shù)據(jù)　出處：《大連海事大學(xué)》2015年碩士論文

【摘要】：2011年5月,麥肯錫發(fā)布了《大數(shù)據(jù)：創(chuàng)新、競(jìng)爭(zhēng)和生產(chǎn)力的下一個(gè)新領(lǐng)域》報(bào)告,指出大數(shù)據(jù)中蘊(yùn)含了巨大的價(jià)值。微軟則開始研究運(yùn)用大數(shù)據(jù)分析去發(fā)現(xiàn)未知規(guī)則,人類社會(huì)信息化發(fā)展正式進(jìn)入到一個(gè)被稱為“大數(shù)據(jù)(Big Data) "的時(shí)代。相對(duì)社會(huì)各界對(duì)大數(shù)據(jù)的關(guān)注和研究不斷升溫,海事系統(tǒng)對(duì)大數(shù)據(jù)的認(rèn)知和實(shí)踐相對(duì)遲緩。在海事信息化建設(shè)的關(guān)鍵節(jié)點(diǎn),深入研究大數(shù)據(jù)的內(nèi)涵和核心技術(shù),結(jié)合山東海事信息化建設(shè)發(fā)展實(shí)際,探索以數(shù)據(jù)驅(qū)動(dòng)的海事管理決策具有很強(qiáng)的現(xiàn)實(shí)意義。本文在深入探討大數(shù)據(jù)、信息化的概念與特征、大數(shù)據(jù)與信息化的關(guān)系的基礎(chǔ)上,以山東海事信息化建設(shè)為研究對(duì)象,借鑒其他行業(yè)系統(tǒng)信息化建設(shè)情況,針對(duì)山東海事信息化建設(shè)存在的問題,根據(jù)山東海事信息化建設(shè)現(xiàn)狀和發(fā)展趨勢(shì),運(yùn)用大數(shù)據(jù)思想對(duì)海事系統(tǒng)信息化建設(shè)積累的海量數(shù)據(jù)進(jìn)行充分利用,在構(gòu)建數(shù)據(jù)共享、交換的標(biāo)準(zhǔn)體系的基礎(chǔ)上,提出基于大數(shù)據(jù)的山東海事信息系統(tǒng)架構(gòu)設(shè)計(jì),實(shí)現(xiàn)寶貴數(shù)據(jù)資源的集中、存儲(chǔ)和應(yīng)用,為海事科學(xué)監(jiān)管和決策提供支持。本文共分5個(gè)章節(jié)：第一章介紹了研究背景、研究意義、研究方法等；第二章介紹了大數(shù)據(jù)、云計(jì)算和信息化概念,并分析了它們相互間的關(guān)系；第三章介紹了山東海事信息化建設(shè)現(xiàn)狀,分析了大數(shù)據(jù)背景下山東海事信息化存在的問題；第四章提出了基于大數(shù)據(jù)的山東海事信息系統(tǒng)的總體設(shè)計(jì)；第五章通過搭建科學(xué)監(jiān)管信息平臺(tái)實(shí)踐驗(yàn)證了系統(tǒng)的整體設(shè)計(jì)思路,利用數(shù)據(jù)關(guān)聯(lián)調(diào)用和挖掘分析技術(shù),實(shí)現(xiàn)船舶動(dòng)態(tài)監(jiān)管、交通流統(tǒng)計(jì)分析和執(zhí)法力量科學(xué)調(diào)用等功能。
[Abstract]:In May 2011, McKinsey released a report entitled big data: the next New Field of Innovation, Competition and Productivity, pointing out the enormous value involved in big data.Microsoft began to study the use of big data analysis to discover the unknown rules, the development of human society information formally entered the era known as "big data Big data".In contrast to the concern and research of big data from all walks of life, the maritime system's cognition and practice to big data is relatively slow.At the key node of maritime information construction, it is of great practical significance to study the connotation and core technology of big data, and to explore the decision of maritime administration driven by data combined with the development practice of Shandong maritime information construction.On the basis of deeply discussing the concepts and characteristics of big data, information technology and the relationship between big data and informatization, this paper takes Shandong maritime information construction as the research object, and draws lessons from the information construction of other industries.In view of the problems existing in Shandong maritime information construction, according to the present situation and development trend of Shandong maritime information construction, using big data's thought to make full use of the massive data accumulated in the maritime information construction, we are constructing the data sharing.Based on the standard system of exchange, this paper puts forward the framework design of Shandong Maritime Information system based on big data, which realizes the concentration, storage and application of valuable data resources, and provides support for maritime scientific supervision and decision-making.This paper is divided into five chapters: the first chapter introduces the research background, research significance, research methods and so on, the second chapter introduces big data, cloud computing and information technology concepts, and analyzes the relationship between them.The third chapter introduces the present situation of Shandong maritime information construction, analyzes the existing problems of Shandong maritime informatization under the background of big data, the fourth chapter puts forward the overall design of Shandong maritime information system based on big data.The fifth chapter verifies the whole design idea of the system through the practice of setting up the scientific supervision information platform, and realizes the functions of ship dynamic supervision, traffic flow statistics analysis and law enforcement power scientific call by using the technology of data association calling and mining analysis.
【學(xué)位授予單位】：大連海事大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U69-39

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本文編號(hào)：1707273