智慧管道站场设备状态监测关键技术  

Key technologies of equipment condition monitoring at the station of intelligent pipeline

作　　者：张海峰[1,2] 蔡永军 李柏松[3] 孙巍 王海明 杨喜良 ZHANG Haifeng;CAI Yongjun;LI Baisong;SUN Wei;WANG Haiming;YANG Xiliang(PetroChina Pipeline R ＆ D Center/National Engineering Laboratory for Pipeline Safety;Division of Ocean Science ＆ Technology,Graduate School at Shenzhen,Tsinghua University;Intelligent Pipeline Construction Project Center,PetroChina Pipeline Company)

机构地区：[1]中国石油管道科技研究中心/油气管道输送安全国家工程实验室 [2]清华大学深圳研究生院海洋科学与技术学部 [3]中国石油管道公司智慧管道建设项目中心

出　　处：《油气储运》2018年第8期841-849,共9页Oil & Gas Storage and Transportation

基　　金：国家重点研发计划课题"油气管道及储运设施安全状态监测与防护技术研究"2016YFC0802103;中国石油天然气股份公司科技攻关项目"天然气管道18 MW集成式压缩机组国产化研制与应用";2016B-3104;中国石油天然气股份公司科技专项"油气管道关键设备国产化";2012E-2802

摘　　要：以"全数字化移交、全智能化运营、全生命周期管理"的智慧管道建设为背景,探讨了物联网、大数据、云计算、人工智能等信息技术在智慧管道站场设备状态监测中的应用方式。为了满足状态监测的新需求和新模式,提出并研究了4项智慧管道站场设备状态监测关键技术:信息感知技术、数据存储技术、数据挖掘与智能分析技术、可视化展示技术。基于此,设计了包含4个层级的设备状态监测平台框架结构,分别为智能感知层、数据存储层、智能诊断层及可视化层。研究成果为智慧管道关键设备状态监测提供了技术方法。In this paper, the application modes of Internet of Things, big data, cloud computing, artificial intelligence and other information technologies in the equipment condition monitoring at the station of intelligent pipeline were discussed in the background of intelligent pipeline construction of ＂full digital transfer, full intelligent operation and full life cycle management＂. In order to meet the new demands and modes of condition monitoring, 4 key technologies of equipment condition monitoring at the station of intelligent pipeline were proposed and researched, including information perception technology, data storage technology, data mining and intelligent analysis technology, and visual display technology. Then, a four-layer framework of equipment condition monitoring platform was designed correspondingly, including intelligent perception layer, data storage layer, intelligent diagnosis layer and visual layer. The relevant researches provide the technical method for the monitoring of key equipment condition of intelligent pipeline.

关 键 词：智慧管道 设备 状态监测 物联网 大数据 人工智能 

分 类 号：TE88[石油与天然气工程—油气储运工程]