摘要
随着我国油气管道规模的不断扩大,管道安全管理评价要求的不断提高,应用大数据技术处理分析管道设计、施工、运营过程中所产生的海量数据成为必然趋势。基于我国管道安全评价的要求,总结了我国管道数据管理存在的问题,介绍了管道大数据管理的初步架构方案:建立合理、准确的管道大数据基准线;建立统一的数据记录、存储形式;实现管道相关数据的全面采集;建立管道大数据的基本准则和管理模式,开发综合数据管理平台;建立基于大数据的分析决策程序。同时,给出了相关数据的处理流程和应用范例,对应用大数据进行长输油气管道安全管理具有一定的指导意义。
With continuous expansion of oil/gas pipelines and increasingly stringent pipeline safety evaluation in China, it is inevitable to use big data technique to process and analyze massive data generated in the process of pipeline design, construction and operation. Based on the requirements of pipeline safety evaluation in China, this paper presents the problems in the data management of pipeline in the country and proposes the preliminary framework of big data management of pipelines. The framework incorporates：（1） reasonable and accurate baseline for big data;（2） unified data recording and storage mode;（3） comprehensive acquisition of relevant data of pipeline;（4） basic rules and model for big data management, and integrated data management platform; and（5） analysis and decision procedures based on big data. Besides, processing flow of related data and application example are given, which can provide some reference for the application of big data in the safety management of long-distance oil/gas pipelines.
出处
《油气储运》
CAS
北大核心
2015年第3期229-232,共4页
Oil & Gas Storage and Transportation
关键词
油气管道
大数据
数据库
安全管理
oil/gas pipeline
big data
database
safety management
