智慧水利系统设计研究

发布时间：2018-04-22 12:29

本文选题：智慧水利 + 大数据　；参考：《山东大学》2017年硕士论文

【摘要】：2015年国务院颁布《促进大数据发展行动纲要》非常明确提出推动大数据与最新IT信息技术能够融合共同发展,找出大数据技术与传统的各个产业共同发展的新方式,提升原来的传统产业升级,同时促进新兴产业高速发展,找出新常态下新的经济暴发增长点。推动大数据技术与最新的IT信息技术达到深度融合,细化大数据技术在各个传统行业的更大范围的创新,不断探索创新多赢的产业模式。大数据技术在各个行业都已展开应用并取得不少可喜的成果。在此时代背景下,采用大数据、云计算、物联网和3S等先进技术提高现代水利业务管理水平,加快智慧水利大数据平台的实施进度,是顺应时代发展适应整个行业发展的。某市设计的智慧水利平台对于更好的全面掌握全市水资源量及可利用量情况、水资源分配情况、水环境质量控制,为相关部门水资源优化配置、全面开展生态市域建设工作提供充分的技术支撑,保证拥有满足水质要求的充沛水量,保护和恢复河道功能,改善市级水环境质量,提供全市的防汛抗旱决策优化支撑,具有深刻的现实意义和实践意义。本论文主要是采用案例研究的方式,对智慧水利系统进行了优化设计和建议。利用大数据技术结合水利行业领域知识,打造水利大数据服务体系,突破传统模型的约束,充分利用最新的大数据技术,在挖掘、加工历史数据和实时数据的基础上,生成基于大数据技术的预测和预报模型,为汛情旱情预报、水资源优化配置、水利用计量、水环境和水生态预测、以及水土流失预测提供决策服务。对智慧水利系统的进行相关的需求分析功能设计,并围绕智慧水利大数据分析及预判等功能模块,进行详细的分析设计。在大数据存储、水利数据模型、数据服务支撑、综合决策支撑四个方面进行了研究设计。整体论文分为了几个部分,首先提出问题并对背景进行了较为详细的概述,然后针对所研究课题中的智慧水利最新研究成果和应用情况进行了综述。后面又对智慧水利系统中的各个模块进行了设计和分析,最后对大数据在智慧水利进行了设计分析,并完成了相关收益分析。在整个论文写作前后,在智慧水利相关方面获得了多项软件著作权、发明专利及政府资金的扶持等。进一步促进了论文在实际中推进的可行性。
[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.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TV21-39

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