[1]吴长春 左丽丽.关于中国智慧管道发展的认识与思考[J].油气储运,2020,39(04):361-370.[doi:10.6047/j.issn.1000-8241.2020.04.001]
 WU Changchun,ZUO Lili.Understanding and thinking on the development of China’s intelligent pipeline[J].Oil & Gas Storage and Transportation,2020,39(04):361-370.[doi:10.6047/j.issn.1000-8241.2020.04.001]
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关于中国智慧管道发展的认识与思考

参考文献/References:

[1] 蔡永军,蒋红艳,王继方,王潇潇,李莉,陈国群,等. 智慧管道总 体架构设计及关键技术[J]. 油气储运,2019,38(2):121-129. CAI Y J,JIANG H Y,WANG J F,WANG X X,LI L,CHEN G Q,et al. The overall architecture design and key construction technologies of intelligent pipelines[J]. Oil & Gas Storage and Transportation,2019,38(2):121-129.
[2] 税碧垣,张栋,李莉,薛鲁宁,陈国群. 智慧管网主要特征与建设 构想[J/OL]. 油气储运:1-8[2020-02-13]. http://kns.cnki.net/ kcms/detail/13.1093.TE.20200102.1521.006.html. SHUI B Y,ZHANG D,LI L,XUE L N,CHEN G Q. Main characteristics and construction conception of intelligent pipeline network[J/OL]. Oil & Gas Storage and Transportation: 1-8[2020-02-13]. http://kns.cnki.net/kcms/detail/13.1093. TE.20200102.1521.006.html.
[3] 聂中文,黄晶,于永志,王永吉,单超,冯骋,等. 智慧管网的建设 进展及存在的问题[J]. 油气储运,2020,39(1):16-24. NIE Z W,HUANG J,YU Y Z,WANG Y J,SHAN C, FENG C,et al. Construction progress and existing problems of intelligent pipeline network[J]. Oil & Gas Storage and Transportation,2020,39(1):16-24.
[4] 熊明,古丽,吴志锋,邓勇,李双琴,邹妍,等. 在役油气管道数字 孪生体的构建及应用[J]. 油气储运,2019,38(5):503-509. XIONG M,GU L,WU Z F,DENG Y,LI S Q,ZOU Y,et al. Construction and application of digital twin in the in-service oil and gas pipeline[J]. Oil & Gas Storage and Transportation, 2019,38(5):503-509.
[5] 李柏松,王学力,徐波,孙巍,王新,赵云峰. 国内外油气管 道运行管理现状与智能化趋势[J]. 油气储运,2019,38(3): 241-250. LI B S,WANG X L,XU B,SUN W,WANG X,ZHAO Y F. Operation and management status and intelligentization trend of global oil and gas pipelines[J]. Oil & Gas Storage and Transportation,2019,38(3):241-250.
[6] 董绍华,张河苇.基于大数据的全生命周期智能管网解决方案[J]. 油气储运,2017,36(1):28-36. DONG S H,ZHANG H W. Full life cycle intelligent pipe network solution based on big data[J]. Oil & Gas Storage and Transportation,2017,36(1):28-36.
[7] 李柏松,王学力,王巨洪. 数字孪生体及其在智慧管网应用的可 行性[J]. 油气储运,2018,37(10):1081-1087. LI B S,WANG X L,WANG J H. Digital twin and its application feasibility to intelligent pipeline networks[J]. Oil & Gas Storage and Transportation,2018,37(10):1081-1087.
[8] 骆科东,邓辉,林杨,张曦. 管道生产管理系统升版建设要点及 其成效[J]. 油气储运,2016,35(7):768-772,778. LUO K D,DENG H,LIN Y,ZHANG X. Key points and effects of version upgrading of pipeline production management system[J]. Oil & Gas Storage and Transportation,2016,35(7): 768-772,778.
[9] 刘辰瑶. 中石化启动智能管线建设项目为油气管安“云大 脑”[EB/OL].(2014-11-18)[2020-03-16]. http://finance.ifeng. com/a/20141118/13287243_0.shtml. LIU C Y. Sinopec starts intelligent pipeline construction project to install “cloud brain” for oil and gas pipeline[EB/ OL].(2014-11-18)[2020-03-16]. http://finance.ifeng.com/ a/20141118/13287243_0.shtml.
[10] 戴安妮. 中国石化3.4 万公里管线实现智能化管理[EB/OL].(2018-06-02)[2020-03-16]. https://www.sohu.com/ a/233836502_99990707. DAI A N. Sinopec’s 34 000 km pipeline realizes intelligent management[EB/OL].(2018-06-02)[2020-03-16]. https:// www.sohu.com/a/233836502_99990707.
[11] 姜昌亮. 中俄东线天然气管道工程管理与技术创新[J]. 油气储 运,2020,39(2):121-129. JIANG C L. Management and technological innovation in China–Russia Eastern Gas Pipeline Project[J]. Oil & Gas Storage and Transportation,2020,39(2):121-129.
[12] 王巨洪,张世斌,王新,李荣光,王婷. 中俄东线智能管道数据 可视化探索与实践[J]. 油气储运,2020,39(2):169-175. WANG J H,ZHANG S B,WANG X,LI R G,WANG T. Exploration and practice of data visualization for intelligent pipeline in China–Russia Eastern Gas Pipeline[J]. Oil & Gas Storage and Transportation,2020,39(2):169-175.
[13] 颜庆龙,叶国清,华晶,纪海涛. 智能工地在中俄东线天然气管 道工程的实践[J]. 智能建筑,2018,21(9):65-68. YAN Q L,YE G Q,HUA J,JI H T. Practice of the smart construction site for the Sino-Russia Gas Pipeline Project(East Route)[J]. Intelligent Building,2018,21(9):65-68.
[14] SUN C K,URAIKUL V,CHAN C W,TONTIWACHWUTHIKUL P. An integrated expert system/operations research approach for optimization of natural gas pipeline operations[J]. Artificial Intelligence,2000,13(4):465-475.
[15] URAIKUL V,CHAN C W,TONTIWACHWUTHIKUL P. Development of an expert system for optimizing natural gas pipeline operations[J]. Expert System with Applications,2000, 18(4):271-282.
[16] NGUYEN H H,CHAN C W. Applications of artificial intelligence for optimization of compressor scheduling[J]. Engineering Applications of Artificial Intelligence,2006,19(2): 113-126.
[17] NGUYEN H H,URAIKUL V,CHAN C W,TONTIWACHWUTHIKUL P. A comparison of automatic techniques for optimization of compressor scheduling[J]. Advances in Engineering Software,2008,39(3):178-188.
[18] GOLDBERG D E. Computer-aided pipeline operation using genetic algorithms and rule learning,part I:Genetic algorithms in pipeline optimization[J]. Engineering with Computers,1987(3):35-45.
[19] Accenture. GE and Accenture announce Columbia Pipeline Group First to deploy break-through“Intelligent Pipeline Solution” [EB/OL].(2012-01-06)[2020-03-16]. https:// newsroom.accenture.com/news/ge-and-accenture-announcecolumbia- pipeline-group-first-to-deploy-break-throughintelligent- pipeline-solution.htm.
[20] 王鹏,杨宏宇,赵贵彬,麻建玺,范晓东,赵国彬. 管道凹陷检测 中的Creaform3D 激光扫描技术[J]. 油气储运,2019,38(4): 463-466. WANG P,YANG H Y,ZHAO G B,MA J X,FAN X D, ZHAO G B. Creaform3D laser scanning technology applied to the detection of pipeline defects[J]. Oil & Gas Storage and Transportation,2019,38(4):463-466.
[21] IPL Technologies. LaserScan3D:Key advantages for pipeline operators[EB/OL].(2020-03-16)[2020-03-16]. http://www. ipltec.com/clients/pipeline-operators/.
[22] FOWLER E,SALAZAR T. Think smart,pump smart[J/ OL]. World Pipelines:63-66[2020-03-17]. https://assets.new. siemens.com/siemens/assets/api/uuid:88d52f4a0b2af0ad4a10e1 47bde5257257e8de48/version:1532447028/think-smart-pumpsmart- july2018-wp. pdf.
[23] SIEMENS A G. A white paper:How to improve the performance of your plant using the appropriate tools of SMATIC PCS 7 APC-Portfolio[Z]. Munich:Siemens,2018: 1-25.
[24] MATT Z. Find meaning,application for the much-discussed digital twin[J]. Journal of Petroleum Technology,2018,70(6): 26-32.

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备注/Memo

(收稿日期:2020-03-17;修回日期:2020-03-24;编辑:刘朝阳) 作者简介:吴长春,男,1962 年生,教授,博士生导师,1985 年硕士毕业于华东石油学院北京研究生部油气储运工程专业,现主要从事油气长输管道工艺的教学与科研工作。地址:北京市昌平区府学路18 号,102249。电话:010-89734398。Email:wuchangchun@vip.sina.com

更新日期/Last Update: 2020-04-25