【作者】 张华；

【导师】 单明； 陈剑；

【作者基本信息】 中南大学 ， 工程管理（专业学位）， 2022， 硕士

【摘要】 目前,国内各大省会城市电力公司正积极开展数据中台建设,积累了海量的电力项目大数据资源,具备了开展电力项目大数据研究应用的基础。但是电网项目数据体量大、类型广、来源较多,受系统平台技术和专业壁垒的限制无法直接贯通,项目全过程数据的碎片化无法为企业提供有效及时辅助决策信息。因此,需要开展电力项目大数据应用研究,改善电力项目数据的及时性、一致性,提高项目管理和企业管理工作效率。本文通过文献研究、访谈法、问卷调查、案例与功能分析、快速原型法等方法对需要设计与实现的项目开展了研究,主要包括以下内容:1.对基于数据中台的电力项目综合管理平台的研究背景、主要问题、研究思路、研究内容和研究方法进行了分析,介绍了数据中台相关概念和技术。2.采用需求调研的方式对平台的各个功能模块进行了需求分析和原型设计,在电力项目海量大数据溯源、治理和提取的基础上设计了各模块所需数据表和宽表。3.构建了数据共享模型和项目全过程数据模型,在此基础上进行软件研发,实现了项目全过程数据的碎片化整理和项目合同异常情况预警,帮助业主单位进行项目全过程管控。4.通过项目全过程多维度展示,实现了科学的、高效的、多层次的项目全过程数据展示,改善了目前某电力研究院无法准确、及时获取项目合同执行情况的问题。5.总结了论文研究的内容和不足,并阐述了今后需要完善的地方。图43幅,表14个,参考文献64篇更多还原

【Abstract】 At present,domestic power companies in major provincial capitals are actively carrying out data center construction,accumulating massive power project big data resources,and having the foundation for the research and application of big data in power projects.However,due to the large volume,wide types and many sources of power grid project data,it cannot be directly connected due to the limitations of system platform technology and professional barriers,and the fragmentation of the whole process of project data cannot provide effective and timely decision-making information for enterprises.Therefore,it is necessary to carry out research on the application of power project big data,improve the timeliness and consistency of power project data,and improve the efficiency of project management and enterprise management.Through literature research,interview method,questionnaire survey,case and functional analysis,rapid prototyping method and other methods,this thesis conducts research on the projects that need to be designed and implemented,mainly including the following contents:1.The research background,main problems,research ideas,research contents and research methods of the power project integrated management platform based on data centralization are analyzed,and related concepts and technologies of data centralization are introduced.2.Conducted demand analysis and prototype design for each functional module of the platform by means of demand research,and designed data tables and wide tables required by each module on the basis of traceability,governance and extraction of massive big data of power projects.3.Built a data sharing model and a data model for the whole process of the project,developed software on this basis,realized the fragmentation of the whole process of the project data and the early warning of abnormal situation of the project contract,and helped the owner to control the whole process of the project.4.Through multi-dimensional display of the whole process of the project,scientific,efficient and multi-level data display of the whole process of the project is realized,which improves the problem that a certain electrical power Research Institute cannot accurately and timely obtain the execution of the project contract.5.Summarizes the content and deficiencies of the research,and expounds the areas that need to be improved in the future.更多还原