电能质量数据中心建设关键问题研究

发布时间：2018-03-21 09:44

本文选题：电能质量　切入点：数据中心　出处：《华北电力大学》2012年硕士论文　论文类型：学位论文

【摘要】：近年来电能质量监测中所暴露的问题越来越受到关注,主要表现在不同厂家生产的监测设备和分析工具各具特色、互不兼容,而对于某个监测系统而言其所支持的数据源过于单一,这非常不利于电力公司内部各应用之间以及各电力公司之间的信息共享和应用集成。为了改变这种信息孤岛的局面,实现对大量数据(如全省范围内的数据)的统一管理和分析以及多层次的数据共享,有必要建立支持多数据源的电能质量数据中心。本课题对电能质量数据中心建设中遇到的关键问题进行了深入研究,并对数据中心建设提出了可行的解决方案。对于物理体系结构的设计,提出了集中式、分布式和混合式三种体系结构,并进行了对比分析。对数据中心中的基础数据库和分析数据库进行了对象建模和表结构的设计。实现了自动和手动两种方式的数据采集,采用了基于多线程的FTP技术,提高了采集效率和灵活性。实现了对PQDIF文件的解析,使得PQDIF解析工作脱离了对PQView系统的依赖。利用Zlib压缩算法实现了对大量基础数据的高效压缩存储,节约了大量存储空间。针对电能质量监测中的海量数据,本文采用了数据库分区技术、缓存机制和索引机制等数据库优化技术,并通过测试取得了良好的优化效果。支持多数据源的电能质量数据中心的建立,解决了电能质量监测中的信息孤岛问题,实现了多层次的数据共享和应用集成,为实现电能质量数据的深入分析和高级应用提供了数据保障。
[Abstract]:In recent years, more and more attention has been paid to the problems exposed in the monitoring of power quality, mainly manifested in the characteristics and incompatibility of the monitoring equipment and analysis tools produced by different manufacturers. For a monitoring system, the data source it supports is too single, which is very unfavorable to the information sharing and application integration among the applications within the power company and among the power companies. In order to change the situation of the isolated information island, To realize the unified management and analysis of a large number of data (such as data in the whole province) and multi-level data sharing, it is necessary to establish a power quality data center that supports multiple data sources. In this paper, the key problems encountered in the construction of power quality data center are deeply studied, and a feasible solution to the construction of the data center is put forward. The distributed and hybrid architecture are compared and analyzed. The object modeling and table structure design of the basic database and the analysis database in the data center are carried out. The automatic and manual data acquisition are realized. The FTP technology based on multithreading is adopted to improve the efficiency and flexibility of collection, and the parsing of PQDIF files is realized. The PQDIF parsing work is independent of the PQView system. The Zlib compression algorithm is used to realize the efficient compression and storage of a large number of basic data, which saves a lot of storage space. Database optimization techniques such as database partitioning, cache mechanism and index mechanism are adopted in this paper, and good optimization results are obtained by testing. The establishment of power quality data center supporting multiple data sources solves the problem of isolated island of information in power quality monitoring and realizes multi-level data sharing and application integration. It provides data guarantee for deep analysis and advanced application of power quality data.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TM76;TP308

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