發(fā)布時間：2018-04-22 12:29

  本文選題：智慧水利 + 大數據��； 參考：《山東大學》2017年碩士論文

【摘要】：2015年國務院頒布《促進大數據發(fā)展行動綱要》非常明確提出推動大數據與最新IT信息技術能夠融合共同發(fā)展,找出大數據技術與傳統(tǒng)的各個產業(yè)共同發(fā)展的新方式,提升原來的傳統(tǒng)產業(yè)升級,同時促進新興產業(yè)高速發(fā)展,找出新常態(tài)下新的經濟暴發(fā)增長點。推動大數據技術與最新的IT信息技術達到深度融合,細化大數據技術在各個傳統(tǒng)行業(yè)的更大范圍的創(chuàng)新,不斷探索創(chuàng)新多贏的產業(yè)模式。大數據技術在各個行業(yè)都已展開應用并取得不少可喜的成果。在此時代背景下,采用大數據、云計算、物聯網和3S等先進技術提高現代水利業(yè)務管理水平,加快智慧水利大數據平臺的實施進度,是順應時代發(fā)展適應整個行業(yè)發(fā)展的。某市設計的智慧水利平臺對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)境質量控制,為相關部門水資源優(yōu)化配置、全面開展生態(tài)市域建設工作提供充分的技術支撐,保證擁有滿足水質要求的充沛水量,保護和恢復河道功能,改善市級水環(huán)境質量,提供全市的防汛抗旱決策優(yōu)化支撐,具有深刻的現實意義和實踐意義。本論文主要是采用案例研究的方式,對智慧水利系統(tǒng)進行了優(yōu)化設計和建議。利用大數據技術結合水利行業(yè)領域知識,打造水利大數據服務體系,突破傳統(tǒng)模型的約束,充分利用最新的大數據技術,在挖掘、加工歷史數據和實時數據的基礎上,生成基于大數據技術的預測和預報模型,為汛情旱情預報、水資源優(yōu)化配置、水利用計量、水環(huán)境和水生態(tài)預測、以及水土流失預測提供決策服務。對智慧水利系統(tǒng)的進行相關的需求分析功能設計,并圍繞智慧水利大數據分析及預判等功能模塊,進行詳細的分析設計。在大數據存儲、水利數據模型、數據服務支撐、綜合決策支撐四個方面進行了研究設計。整體論文分為了幾個部分,首先提出問題并對背景進行了較為詳細的概述,然后針對所研究課題中的智慧水利最新研究成果和應用情況進行了綜述。后面又對智慧水利系統(tǒng)中的各個模塊進行了設計和分析,最后對大數據在智慧水利進行了設計分析,并完成了相關收益分析。在整個論文寫作前后,在智慧水利相關方面獲得了多項軟件著作權、發(fā)明專利及政府資金的扶持等。進一步促進了論文在實際中推進的可行性。
[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.
【學位授予單位】：山東大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TV21-39

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本文編號：1787221