本文選題：智慧水利 + 大數(shù)據(jù)　； 參考：《山東大學(xué)》2017年碩士論文

【摘要】：2015年國(guó)務(wù)院頒布《促進(jìn)大數(shù)據(jù)發(fā)展行動(dòng)綱要》非常明確提出推動(dòng)大數(shù)據(jù)與最新IT信息技術(shù)能夠融合共同發(fā)展,找出大數(shù)據(jù)技術(shù)與傳統(tǒng)的各個(gè)產(chǎn)業(yè)共同發(fā)展的新方式,提升原來(lái)的傳統(tǒng)產(chǎn)業(yè)升級(jí),同時(shí)促進(jìn)新興產(chǎn)業(yè)高速發(fā)展,找出新常態(tài)下新的經(jīng)濟(jì)暴發(fā)增長(zhǎng)點(diǎn)。推動(dòng)大數(shù)據(jù)技術(shù)與最新的IT信息技術(shù)達(dá)到深度融合,細(xì)化大數(shù)據(jù)技術(shù)在各個(gè)傳統(tǒng)行業(yè)的更大范圍的創(chuàng)新,不斷探索創(chuàng)新多贏的產(chǎn)業(yè)模式。大數(shù)據(jù)技術(shù)在各個(gè)行業(yè)都已展開(kāi)應(yīng)用并取得不少可喜的成果。在此時(shí)代背景下,采用大數(shù)據(jù)、云計(jì)算、物聯(lián)網(wǎng)和3S等先進(jìn)技術(shù)提高現(xiàn)代水利業(yè)務(wù)管理水平,加快智慧水利大數(shù)據(jù)平臺(tái)的實(shí)施進(jìn)度,是順應(yīng)時(shí)代發(fā)展適應(yīng)整個(gè)行業(yè)發(fā)展的。某市設(shè)計(jì)的智慧水利平臺(tái)對(duì)于更好的全面掌握全市水資源量及可利用量情況、水資源分配情況、水環(huán)境質(zhì)量控制,為相關(guān)部門水資源優(yōu)化配置、全面開(kāi)展生態(tài)市域建設(shè)工作提供充分的技術(shù)支撐,保證擁有滿足水質(zhì)要求的充沛水量,保護(hù)和恢復(fù)河道功能,改善市級(jí)水環(huán)境質(zhì)量,提供全市的防汛抗旱決策優(yōu)化支撐,具有深刻的現(xiàn)實(shí)意義和實(shí)踐意義。本論文主要是采用案例研究的方式,對(duì)智慧水利系統(tǒng)進(jìn)行了優(yōu)化設(shè)計(jì)和建議。利用大數(shù)據(jù)技術(shù)結(jié)合水利行業(yè)領(lǐng)域知識(shí),打造水利大數(shù)據(jù)服務(wù)體系,突破傳統(tǒng)模型的約束,充分利用最新的大數(shù)據(jù)技術(shù),在挖掘、加工歷史數(shù)據(jù)和實(shí)時(shí)數(shù)據(jù)的基礎(chǔ)上,生成基于大數(shù)據(jù)技術(shù)的預(yù)測(cè)和預(yù)報(bào)模型,為汛情旱情預(yù)報(bào)、水資源優(yōu)化配置、水利用計(jì)量、水環(huán)境和水生態(tài)預(yù)測(cè)、以及水土流失預(yù)測(cè)提供決策服務(wù)。對(duì)智慧水利系統(tǒng)的進(jìn)行相關(guān)的需求分析功能設(shè)計(jì),并圍繞智慧水利大數(shù)據(jù)分析及預(yù)判等功能模塊,進(jìn)行詳細(xì)的分析設(shè)計(jì)。在大數(shù)據(jù)存儲(chǔ)、水利數(shù)據(jù)模型、數(shù)據(jù)服務(wù)支撐、綜合決策支撐四個(gè)方面進(jìn)行了研究設(shè)計(jì)。整體論文分為了幾個(gè)部分,首先提出問(wèn)題并對(duì)背景進(jìn)行了較為詳細(xì)的概述,然后針對(duì)所研究課題中的智慧水利最新研究成果和應(yīng)用情況進(jìn)行了綜述。后面又對(duì)智慧水利系統(tǒng)中的各個(gè)模塊進(jìn)行了設(shè)計(jì)和分析,最后對(duì)大數(shù)據(jù)在智慧水利進(jìn)行了設(shè)計(jì)分析,并完成了相關(guān)收益分析。在整個(gè)論文寫(xiě)作前后,在智慧水利相關(guān)方面獲得了多項(xiàng)軟件著作權(quán)、發(fā)明專利及政府資金的扶持等。進(jìn)一步促進(jìn)了論文在實(shí)際中推進(jìn)的可行性。
[Abstract]:The State Council promulgated the "platform for Action for the Development of big data" in 2015. It is very clear that it is very clear to promote the integration and common development of big data and the latest IT information technology, and to find out a new way in which big data technology and traditional industries can develop together. Promote the upgrading of traditional industries, promote the rapid development of emerging industries, and find out the new economic growth point under the new normal. To promote big data technology and the latest IT information technology to achieve the deep integration, refine big data technology in various traditional industries in a wider range of innovation, constantly explore innovation multi-win industrial model. Big data technology has been applied in various industries and achieved many gratifying results. Against this background, using advanced technologies such as big data, cloud computing, Internet of things and 3s to improve the management level of modern water conservancy business and speed up the implementation of intelligent water conservancy big data platform is to adapt to the development of the times and adapt to the development of the whole industry. The intelligent water conservancy platform designed by a certain city has a better understanding of the quantity and availability of water resources in the city, the distribution of water resources, the quality control of water environment, and the optimal allocation of water resources for relevant departments. To provide adequate technical support for the construction of eco-city areas in an all-round way, to ensure adequate quantity of water to meet the water quality requirements, to protect and restore the functions of river courses, to improve the quality of municipal water environment, and to provide optimum support for flood control and drought relief decisions in the whole city. It has profound practical significance and practical significance. In this paper, a case study is used to optimize the design of intelligent water conservancy system. By combining big data's technology with the knowledge of the water conservancy industry, we will create a water conservancy big data service system, break through the constraints of the traditional model, and make full use of the latest big data technology, on the basis of mining and processing historical data and real-time data. A forecasting and forecasting model based on big data technology is built to provide decision services for flood and drought forecasting, water resources optimal allocation, water use metering, water environment and water ecological prediction, and soil erosion prediction. The function design of intelligent water conservancy system is related to requirement analysis, and the detailed analysis and design are carried out around the function modules of intelligent water conservancy big data analysis and pre-judgment. In big data storage, water conservancy data model, data service support, comprehensive decision support four aspects of research and design. The whole paper is divided into several parts. Firstly, the problems are put forward and the background is summarized in detail. Then, the latest research results and applications of intelligent water conservancy are summarized. In the end, the author designs and analyzes each module of the intelligent water conservancy system, and finally designs and analyzes big data in the intelligent water conservancy, and completes the related income analysis. Before and after the whole paper was written, many software copyrights, invention patents and government funds were obtained in intelligent water conservancy. Further promote the feasibility of the paper in practice.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TV21-39

【參考文獻(xiàn)】

相關(guān)期刊論文 前9條

1 徐永兵;宋厚清;牛會(huì)澤;張晨;;“智慧泗河”設(shè)計(jì)探析[J];水利信息化;2016年02期

2 武建;高峰;朱慶利;;淺談大數(shù)據(jù)技術(shù)在水利信息化建設(shè)中的應(yīng)用[J];水利發(fā)展研究;2015年09期

3 李臣明;曾焱;王慧斌;張麗麗;;全國(guó)水利信息化“十三五”建設(shè)構(gòu)想與關(guān)鍵技術(shù)[J];水利信息化;2015年01期

4 馮吉平;陳微;官滌;李聰;鄭國(guó)臣;;大數(shù)據(jù)技術(shù)在松遼流域水環(huán)境管理中的應(yīng)用展望[J];水利發(fā)展研究;2014年09期

5 劉漢剛;李光;;水利數(shù)據(jù)中心資源開(kāi)發(fā)與應(yīng)用研究[J];水利信息化;2014年02期

6 馮鈞;許瀟;唐志賢;徐黎明;;水利大數(shù)據(jù)及其資源化關(guān)鍵技術(shù)研究[J];水利信息化;2013年04期

7 王忠靜;王光謙;王建華;王浩;;基于水聯(lián)網(wǎng)及智慧水利提高水資源效能[J];水利水電技術(shù);2013年01期

8 芮曉玲;吳一凡;;基于物聯(lián)網(wǎng)技術(shù)的智慧水利系統(tǒng)[J];計(jì)算機(jī)系統(tǒng)應(yīng)用;2012年06期

9 劉瑜,王立福,張世琨;軟件框架開(kāi)發(fā)過(guò)程研究[J];計(jì)算機(jī)工程與應(yīng)用;2004年02期

，

本文編號(hào)：1787221