本文選題：電能質(zhì)量　切入點(diǎn)：數(shù)據(jù)中心　出處：《華北電力大學(xué)》2012年碩士論文　論文類型：學(xué)位論文

【摘要】：近年來電能質(zhì)量監(jiān)測中所暴露的問題越來越受到關(guān)注,主要表現(xiàn)在不同廠家生產(chǎn)的監(jiān)測設(shè)備和分析工具各具特色、互不兼容,而對(duì)于某個(gè)監(jiān)測系統(tǒng)而言其所支持的數(shù)據(jù)源過于單一,這非常不利于電力公司內(nèi)部各應(yīng)用之間以及各電力公司之間的信息共享和應(yīng)用集成。為了改變這種信息孤島的局面,實(shí)現(xiàn)對(duì)大量數(shù)據(jù)(如全省范圍內(nèi)的數(shù)據(jù))的統(tǒng)一管理和分析以及多層次的數(shù)據(jù)共享,有必要建立支持多數(shù)據(jù)源的電能質(zhì)量數(shù)據(jù)中心。 本課題對(duì)電能質(zhì)量數(shù)據(jù)中心建設(shè)中遇到的關(guān)鍵問題進(jìn)行了深入研究,并對(duì)數(shù)據(jù)中心建設(shè)提出了可行的解決方案。對(duì)于物理體系結(jié)構(gòu)的設(shè)計(jì),提出了集中式、分布式和混合式三種體系結(jié)構(gòu),并進(jìn)行了對(duì)比分析。對(duì)數(shù)據(jù)中心中的基礎(chǔ)數(shù)據(jù)庫和分析數(shù)據(jù)庫進(jìn)行了對(duì)象建模和表結(jié)構(gòu)的設(shè)計(jì)。實(shí)現(xiàn)了自動(dòng)和手動(dòng)兩種方式的數(shù)據(jù)采集,采用了基于多線程的FTP技術(shù),提高了采集效率和靈活性。實(shí)現(xiàn)了對(duì)PQDIF文件的解析,使得PQDIF解析工作脫離了對(duì)PQView系統(tǒng)的依賴。利用Zlib壓縮算法實(shí)現(xiàn)了對(duì)大量基礎(chǔ)數(shù)據(jù)的高效壓縮存儲(chǔ),節(jié)約了大量存儲(chǔ)空間。針對(duì)電能質(zhì)量監(jiān)測中的海量數(shù)據(jù),本文采用了數(shù)據(jù)庫分區(qū)技術(shù)、緩存機(jī)制和索引機(jī)制等數(shù)據(jù)庫優(yōu)化技術(shù),并通過測試取得了良好的優(yōu)化效果。 支持多數(shù)據(jù)源的電能質(zhì)量數(shù)據(jù)中心的建立,解決了電能質(zhì)量監(jiān)測中的信息孤島問題,實(shí)現(xiàn)了多層次的數(shù)據(jù)共享和應(yīng)用集成,為實(shí)現(xiàn)電能質(zhì)量數(shù)據(jù)的深入分析和高級(jí)應(yīng)用提供了數(shù)據(jù)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.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：TM76;TP308

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本文編號(hào)：1643308