基于主数据管理的电网调度数据整合

发布时间：2018-03-24 21:13

本文选题：全景数据模型　切入点：主数据　出处：《云南大学》2014年硕士论文

【摘要】：电网调度信息技术系统是调度运行控制和调度运行管理等各类子系统的总集,各子系统间的数据统一和共享是智能调度信息化的重要基石。当前,由于调度业务复杂的特点,各子系统存在模型不统一、数据集成共享困难的难题,因此,有必要通过数据整合的技术方法建立一个统一的数据共享平台。此外,调度数据具有Volume(大量)、Velocity(高速)、Variety(多样)、Value(价值)的大数据4V特征,如何从大数据中挖掘出有价值信息,为调度辅助决策服务,也是数据应用方面的重大课题。本文运用企业信息资源规划方法对电网调度领域的业务数据及其模型进行了研究,分析了调度业务数据资源的总体情况和电网调度信息技术系统的数据架构,归纳总结电网调度信息技术系统的现状及存在问题,指出了实现数据整合面临的技术难题及相应的解决思路。本文基于主数据管理原理和方法,提出调度数据整合的关键是实现调度主数据的统一管理,相关的关键技术包括：数据对象的统一编码技术、基于主数据管理的数据统一建模和维护机制、数据模型的服务发布机制。最后,提出了与数据整合平台建设相应的配套管控措施,包括数据资源管理的技术标准和相应的管理制度,用于规范调度信息技术系统的建设工作和数据运维。
[Abstract]:Power grid dispatching information technology system is the total collection of all kinds of subsystems, such as dispatching operation control and dispatching operation management. The data unification and sharing among each subsystem is the important cornerstone of intelligent dispatching information. At present, because of the complex characteristics of dispatching business, There is a difficult problem of data integration and sharing in different subsystems. Therefore, it is necessary to establish a unified data sharing platform through the technical method of data integration. Scheduling data has the big data 4V characteristic of Volume-Velocity.How to excavate valuable information from big data and serve for dispatching auxiliary decision, it is also an important subject in data application. In this paper, the enterprise information resource planning method is used to study the service data and its model in the field of power grid dispatching, and the general situation of the dispatching service data resources and the data structure of the power grid dispatching information technology system are analyzed. This paper summarizes the present situation and existing problems of power dispatching information technology system, and points out the technical problems and corresponding solutions to realize data integration. Based on the principle and method of master data management, this paper puts forward that the key of scheduling data integration is to realize the unified management of scheduling master data. The related key technologies include: unified coding technology of data object, The unified modeling and maintenance mechanism of data based on master data management, the service publishing mechanism of data model. Finally, the corresponding management and control measures corresponding to the construction of data integration platform are put forward. It includes the technical standard of data resource management and the corresponding management system, which is used to standardize the construction of information technology system and the operation and maintenance of data.
【学位授予单位】：云南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM73;F426.61

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