PDF下载

[1]吴张中.油气管道地质灾害风险管理知识图谱构建与应用[J].油气储运,2023,42(03):241-248.[doi:10.6047/j.issn.1000-8241.2023.03.001]
　WU Zhangzhong.Construction and application of knowledge graph of geohazard risk management for oil and gas pipeline[J].Oil & Gas Storage and Transportation,2023,42(03):241-248.[doi:10.6047/j.issn.1000-8241.2023.03.001]

点击复制

油气管道地质灾害风险管理知识图谱构建与应用

《油气储运》[ISSN:1000-8241/CN:13-1093/TE] 卷: 42 期数: 2023年03期页码: 241-248 栏目: 前沿与综述出版日期: 2023-03-25

Title:: Construction and application of knowledge graph of geohazard risk management for oil and gas pipeline

文章编号:: 1000-8241（2023）03-0241-08

作者:: 吴张中; 国家管网集团科学技术研究总院分公司

Author(s):: WU Zhangzhong; PipeChina Institute of Science and Technology

关键词:: 油气管道; 地质灾害; 风险管理; 知识图谱; 本体设计; 智能决策

Keywords:: oil and gas pipeline; geohazard; risk management; knowledge graph; ontology design; intelligent decision-making

分类号:: TE88

DOI:: 10.6047/j.issn.1000-8241.2023.03.001

文献标志码:: A

摘要:: 知识图谱是一种利用解释性语言描述研究对象之间关系的知识库，能够增强机器学习能力，挖掘事物间深层及潜藏的关系，为决策者在抉择过程中提供辅助。从知识图谱技术原理出发，结合油气管道特点，提出了以业务需求、本体设计、知识抽取、知识融合、知识存储、知识迭代更新为核心的油气管道行业知识图谱构建流程与方法。依据SY/T6828—2017《油气管道地质灾害风险管理技术规范》，构建了以风险识别、评价、防治为主体的油气管道地质灾害风险管理知识图谱。以典型黏性土滑坡灾害为例开展应用示范，在明确灾害风险评价及防治逻辑架构的基础上，探讨了知识图谱在油气管道地质灾害智能评估中的决策过程、应用场景及决策结果的推演与可视化，为管道地质灾害风险评价及防治的智能辅助决策提供了可行路径。（图3，表3，参24）

Abstract:: As a knowledge base describing the relationship between research objects with explanatory language, knowledge graph can enhance the ability of machine learning and excavate the deep and hidden relationships between things to help deciders make decisions. The process and method of knowledge graph construction in oil and gas pipeline industry, focusing on business requirements, ontology design, knowledge extraction, knowledge fusion, knowledge storage and knowledge iterative updating, were put forward in combination with the characteristics of oil and gas pipelines based on the principle of knowledge graph technology. The knowledge graph of geohazard risk management of oil and gas pipeline based on risk identification, assessment and prevention was constructed according to the Specification for geological hazard risk management of oil and gas pipeline (SY/T 6828—2017) for the first time, and application demonstration was carried out based on the typical clay landslide hazard. Besides, the deduction and visualization of the decision-making process, application scenarios and decision-making results of the knowledge graph in the intelligent geohazard assessment of oil and gas pipeline was discussed on the basis of defining the logical framework of hazard risk assessment and prevention, which provides a feasible way for the intelligent aided decision-making in geohazard risk assessment and prevention for pipelines. (3 Figures, 3 Tables, 24 References)

参考文献/References:

[1] 王昊奋，漆桂林，陈华钧.知识图谱：方法、实践与应用[M].北京：电子工业出版社，2019：420-452. WANG H F, QI G L, CHEN H J. Knowledge graph-methods, practices and application[M]. Beijing: Publishing House of Electronics Industry, 2019: 420-452.
[2] 徐增林，盛泳潘，贺丽荣，王雅芳.知识图谱技术综述[J].电子科技大学学报，2016，45（4）：589-606. 10.3969/j.issn.1001-0548. 2016.04.012. XU Z L, SHENG Y P, HE L R, WANG Y F. Review on knowledge graph techniques[J]. Journal of University of Electronic Science and Technology of China, 2016, 45(4): 589-606.
[3] 肖仰华，徐波，林欣，李直旭，彭鹏，郑卫国，等.知识图谱：概念与技术[M].北京：电子工业出版社，2020：2-30. XIAO Y H, XU B, LIN X, LI Z X, PENG P, ZHENG W G, et al. Knowledge graph-concepts and techniques[M]. Beijing:Publishing House of Electronics Industry, 2020: 2-30.
[4] MARTINS V W B, RAMPASSO I S, ANHOLON R, QUELHAS Q L G, LEAL FILHO W. Knowledge management in the context of sustainability: literature review and opportunities for future research[J]. Journal of Cleaner Production, 2019, 229:489-500. DOI: 10.1016/j.jclepro.2019.04.354.
[5] 帅健，王伟，梅苑，金国清.基于知识图谱的管道完整性管理研究特征与热点演化[J].油气储运，2021，40（12）：1349-1357. 10.6047/j.issn.1000-8241.2021.12.004. SHUAI J, WANG W, MEI Y, JIN G Q. Research characteristics and hot spot evolution of pipeline integrity management based on knowledge graph[J]. Oil & Gas Storage and Transportation, 2021, 40(12): 1349-1357.
[6] 王萌，王昊奋，李博涵，赵翔，王鑫.新一代知识图谱关键技术综述[J].计算机研究与发展，2022，59（9）：1947-1965. 10.7544/issn1000-1239.20210829. WANG M, WANG H F, LI B H, ZHAO X, WANG X. Survey on key technologies of new generation knowledge graph[J]. Journal of Computer Research and Development, 2022, 59(9):1947-1965.
[7] 杨瑞.智慧管网知识网络构建与综合决策技术研究[R].廊坊：国家管网集团科学技术研究总院分公司，2021：10-16. YANG R. Study on knowledge network construction &comprehensive decision-making of intelligent pipe network[R]. Langfang: PipeChina Institute of Science and Technology, 2021:10-16.
[8] 漆桂林，高桓，吴天星.知识图谱研究进展[J].情报工程，2017，3（1）：4-25. 10.3772/j.issn.2095-915x.2017.01.002. QI G L, GAO H, WU T X. The research advances of knowledge graph[J]. Technology Intelligence Engineering, 2017, 3(1):4-25.
[9] 王同良.油气行业数字化转型实践与思考[J].石油科技论坛， 2020，39（1）：29-33. 10.3969/j.issn.1002-302x.2020.01.006. WANG T L. Practice and thinking of oil and gas industrial digitalization transformation[J]. Petroleum Science and Technology Forum, 2020, 39(1): 29-33.
[10] 张晓娟，秦洁，孙成.中外企业知识分享模式研究——基于MAKE获奖企业的分析[J].信息资源管理学报，2016，6（4）：57-64，73. 10.13365/j.jirm.2016.04.057. ZHANG X J, QIN J, SUN C. Knowledge sharing models of Chinese and international enterprises: an analysis based on the MAKE[J]. Journal of Information Resources Management, 2016, 6(4): 57-64, 73.
[11] 刘峤，李杨，段宏，刘瑶，秦志光.知识图谱构建技术综述[J].计算机研究与发展，2016，53（3）：582-600. 10.7544/issn1000-1239.2016.20148228.LIU Q, LI Y, DUAN H, LIU Y, QIN Z G. Knowledge graph construction techniques[J]. Journal of Computer Research and Development, 2016, 53(3): 582-600.
[12] 程学旗，靳小龙，王元卓，郭嘉丰，张铁赢，李国杰.大数据系统和分析技术综述[J].软件学报，2014，25（9）：1889-1908. 10.13328/j.cnki.jos.004674. CHENG X Q, JIN X L, WANG Y Z, GUO J F, ZHANG T Y, LI G J. Survey on big data system and analytic technology[J]. Journal of Software, 2014, 25(9): 1889-1908.
[13] NIU X, SUN X R, WANG H F, RONG S, QI G L, YU Y. Zhishi.me-weaving Chinese linking open data[C]. Bonn: The Semantic Web-ISWC 2011, 2011: 205-220.
[14] 周贞云，邱均平.面向人工智能的我国知识图谱研究的分布特点与发展趋势[J].情报科学，2022，40（1）：184-192. 10.13833/j.issn.1007-7634.2022.01.024. ZHOU Z Y, QIU J P. Distribution traits and development trends of knowledge graph research in China for artificial intelligence[J]. Information Science, 2022, 40(1): 184-192.
[15] 邢立栋.面向特定领域的知识图谱构建技术研究与应用[D].北京：北京化工大学，2018. XING L D. Research and application of knowledge mapping technology for specific domain[D]. Beijing: Beijing University of Chemical Technology, 2018.
[16] 张吉祥，张祥森，武长旭，赵增顺.知识图谱构建技术综述[J]. 计算机工程，2022，48（3）：23-37. 10.19678/j.issn.1000-3428.0061803. ZHANG J X, ZHANG X S, WU C X, ZHAO Z S. Survey of knowledge graph construction techniques[J]. Computer Engineering, 2022, 48(3): 23-37.
[17] 中国石油管道公司.油气管道地质灾害风险管理技术[M].北京：石油工业出版社，2010：12-63. China Petroleum Pipeline Corporation. Geohazard risk management techniques of oil and gas pipeline[M]. Beijing:Petroleum Industry Press, 2010: 12-63.
[18] 吴张中，李亮亮，白路遥，等.油气管道水工保护工程典型图集[M].北京：中国标准出版社，2021：57-89. WU Z Z, LI L L, BAI L Y, et al. Prototype atlas of hydraulic protection project for oil and gas pipelines[M]. Beijing:Standards Press of China, 2021: 57-89.
[19] 郭守德，王强，林影，姜昌亮，王珀，蔡俊年.中缅油气管道沿线地质灾害分析与防治[J].油气储运，2019，38（9）：1059-1064，1071. 10.6047/j.issn.1000-8241.2019.09.015. GUO S D, WANG Q, LIN Y, JIANG C L, WANG P, CAI J N. Analysis and prevention of geological hazards along the China-Myanmar Oil and Gas Pipeline[J]. Oil & Gas Storage and Transportation, 2019, 38(9): 1059-1064, 1071.
[20] GUARINO N. Formal ontology, conceptual analysis and knowledge representation[J]. International Journal of Human-Computer Studies, 1995, 43(5/6): 625-640. DOI: 10.1006/ijhc. 1995.1066.
[21] RAISIG S, WELKE T, HAGENDORF H, VAN DER MEER E. Insights into knowledge representation: the influence of amodal and perceptual variables on event knowledge retrieval from memory[J]. Cognitive Science, 2009, 33(7): 1252-1266. DOI: 10.1111/j.1551-6709.2009.01044.x.
[22] DONG X L, GABRILOVICH E, HEITZ G, HORN W, MURPHY K, SUN S H, et al. From data fusion to knowledge fusion[J]. Proceedings of the VLDB Endowment, 2014, 7(10):881-892. DOI: 10.14778/2732951.2732962.
[23] BRYL V, BIZER C, ISELE R, VERLIC M, HONG S G, JANG S, et al. Interlinking and knowledge fusion[M]//AUER S, BRYL V, TRAMP S. Linked Open Data-Creating Knowledge Out of Interlinked Data. Cham: Springer, 2014: 70-89. DOI:10.1007/978-3-319-09846-3_4.
[24] HARRIS S, GIBBINS N. 3store: efficient bulk RDF storage[C]. Sanibel Island: 1st International Workshop on Practical and Scalable Semantic Systems (PSSS'03), 2003: 1-15.

相似文献/References:

[1]黄春芳陈燕周芳黄月吴州阳杨松王自发. 石油天然气管道站内管道爆破吹扫[J].油气储运,2012,31(12):934.[doi:10.6047/j.issn.1000-8241.2012.06.016]
　Huang Chunfang,Chen Yan,Zhou Fang,et al. Bursting purge method in stations of oil and gas pipeline[J].Oil & Gas Storage and Transportation,2012,31(03):934.[doi:10.6047/j.issn.1000-8241.2012.06.016]
[2]戴联双,汤长江,冯治中,等.油气管道恐怖袭击风险评估方法与应用[J].油气储运,2011,30(05):337.[doi:10.6047/j.issn.1000-8241.2011.05.004]
　Dai Lianshuang,Tang Changjiang,Feng Zhizhong,et al.Risk assessment methodology and application for oil and gas pipelines’ terrorist attack[J].Oil & Gas Storage and Transportation,2011,30(03):337.[doi:10.6047/j.issn.1000-8241.2011.05.004]
[3]王乾坤,张争伟,石悦,等.埋地油气管道并行敷设技术发展现状[J].油气储运,2011,30(01):1.[doi:10.6047/j.issn.1000-8241.2011.01.001]
　Wang Qiankun,Zhang Zhengwei,Shi Yue,et al.Development status of the parallel laying technology in underground oil & gas pipelines[J].Oil & Gas Storage and Transportation,2011,30(03):1.[doi:10.6047/j.issn.1000-8241.2011.01.001]
[4]马伟平,贾子麒,赵晋云,等.美国油气管道法规和标准体系的管理模式[J].油气储运,2011,30(01):5.[doi:10.6047/j.issn.1000-8241.2011.01.002]
　Ma Weiping,Jia Ziqi,Zhao Jinyun,et al.Oil and gas pipeline eegulations and management mode of standard system in America[J].Oil & Gas Storage and Transportation,2011,30(03):5.[doi:10.6047/j.issn.1000-8241.2011.01.002]
[5]李鹤林.油气管道失效控制技术[J].油气储运,2011,30(06):401.[doi:10.6047/j.issn.1000-8241.2011.06.001]
　Li Helin.Failure control technique of oil & gas pipeline[J].Oil & Gas Storage and Transportation,2011,30(03):401.[doi:10.6047/j.issn.1000-8241.2011.06.001]
[6]陈敬和.管道外腐蚀直接评价技术[J].油气储运,2011,30(07):523.[doi:10.6047/j.issn.1000-8241.2011.07.012]
　Chen Jinghe.Direct assessment technology of pipeline external corrosion[J].Oil & Gas Storage and Transportation,2011,30(03):523.[doi:10.6047/j.issn.1000-8241.2011.07.012]
[7]吴琋瑛.光缆与油气管道同沟敷设应用实践[J].油气储运,2011,30(07):547.[doi:10.6047/j.issn.1000-8241.2011.07.021]
　Wu Xiying.Technique application of laying in one ditch for fiber cable and oil or gas pipeline[J].Oil & Gas Storage and Transportation,2011,30(03):547.[doi:10.6047/j.issn.1000-8241.2011.07.021]
[8]陈朋超,杨宝玲,王民.漠大管道及其多年冻土区域地质灾害风险[J].油气储运,2011,30(08):621.[doi:10.6047/j.issn.1000-8241.2011.08.006]
　Chen Pengchao,Yang Baoling,Wang Min.Geological disaster risk analysis and management solutions for Mohe-Daqing Oil Pipeline in permafrost regions[J].Oil & Gas Storage and Transportation,2011,30(03):621.[doi:10.6047/j.issn.1000-8241.2011.08.006]
[9]焦中良,李志文,李志勇,等.油气管道波动压力的雨流计数与分析[J].油气储运,2011,30(08):624.[doi:10.6047/j.issn.1000-8241.2011.08.007]
　Jiao Zhongliang,Li Zhiwen,Li Zhiyong,et al.Rain-flow counting analysis of the fluctuation pressure for oil & gas pipelines[J].Oil & Gas Storage and Transportation,2011,30(03):624.[doi:10.6047/j.issn.1000-8241.2011.08.007]
[10]樊文斌,罗自治,张策.管内高压封堵器的研制[J].油气储运,2011,30(08):657.[doi:10.6047/j.issn.1000-8241.2011.08.015]
　Fan Wenbin,Luo Zizhi,Zhang Ce.Development of high-pressure pipeline isolation plug[J].Oil & Gas Storage and Transportation,2011,30(03):657.[doi:10.6047/j.issn.1000-8241.2011.08.015]
[11]荆宏远,郝建斌,陈英杰,等.管道地质灾害风险半定量评价方法与应用[J].油气储运,2011,30(07):497.[doi:10.6047/j.issn.1000-8241.2011.07.005]
　Jing Hongyuan,Hao Jianbin,Chen Yingjie,et al.Technique and application of geologic hazard risk semi-quantitative assessment of pipeline[J].Oil & Gas Storage and Transportation,2011,30(03):497.[doi:10.6047/j.issn.1000-8241.2011.07.005]
[12]仝兴华,薛世峰,单新建.山体滑坡和泥石流灾害动态监测技术研究[J].油气储运,2006,25(10):7.[doi:10.6047/j.issn.1000-8241.2006.10.002]
　TONG Xinghua,XUE Shifeng.The Study of Real-Time Monitoring Technique in Landslide and MudflowPrediction[J].Oil & Gas Storage and Transportation,2006,25(03):7.[doi:10.6047/j.issn.1000-8241.2006.10.002]
[13]张宏,刘啸奔.地质灾害作用下油气管道设计应变计算模型[J].油气储运,2017,36(1):91.[doi:10.6047/j.issn.1000-8241.2017.01.012]
　ZHANG Hong,LIU Xiaoben.Design strain calculation model for oil and gas pipelines subject to geological hazards[J].Oil & Gas Storage and Transportation,2017,36(03):91.[doi:10.6047/j.issn.1000-8241.2017.01.012]
[14]白路遥　施宁　伞博泓　李亮亮　马云宾　时建辰　蔡永军.卫星遥感技术在管道地质灾害识别与监测的应用[J].油气储运,2019,38(预出版):1.
　BAI Luyao,SHI Ning,SAN Bohong,et al.Application of satellite remote sensing technology to the identification and monitoring of pipeline geological hazards[J].Oil & Gas Storage and Transportation,2019,38(03):1.
[15]白路遥,施宁,伞博泓,等.基于卫星遥感的管道地质灾害识别与监测技术现状[J].油气储运,2019,38(04):368.[doi:10.6047/j.issn.1000-8241.2019.04.002]
　BAI Luyao,SHI Ning,SAN Bohong,et al.Current situation of pipeline geological disaster identification and monitoring technology based on satellite remote sensing[J].Oil & Gas Storage and Transportation,2019,38(03):368.[doi:10.6047/j.issn.1000-8241.2019.04.002]
[16]李亮亮,吴张中,费雪松,等.基于范例推理的管道地质灾害防护决策方法[J].油气储运,2022,41(03):272.[doi:10.6047/j.issn.1000-8241.2022.03.004]
　LI Liangliang,WU Zhangzhong,FEI Xuesong,et al.Decision-making approach for geohazard treatment of pipelines based on case-based reasoning[J].Oil & Gas Storage and Transportation,2022,41(03):272.[doi:10.6047/j.issn.1000-8241.2022.03.004]
[17]张宏,刘啸奔,戴联双,等.地质灾害作用下油气管道环焊缝适用性实时评价方法[J].油气储运,2023,42(09):1055.[doi:10.6047/j.issn.1000-8241.2023.09.009]
　ZHANG Hong,LIU Xiaoben,DAI Lianshuang,et al.Real-time fitness-for-service assessment method for girth weld of oil and gas pipelines subject to geological hazards[J].Oil & Gas Storage and Transportation,2023,42(03):1055.[doi:10.6047/j.issn.1000-8241.2023.09.009]

备注/Memo

吴张中，男，1979年生，高级工程师，2008年博士毕业于中国地质大学（武汉）岩土工程专业，现主要从事油气管道地质灾害防护技术方面的研究与科研管理工作。地址：河北省廊坊市广阳区金光道51号，065000。电话：0316-2073413。Email：wuzz@pipechina.com.cn
基金项目：国家管网集团揭榜挂帅项目“智慧管网理论和技术体系研究”，JCGL202109；国家管网集团揭榜挂帅项目“油气管道线路及站场感知技术研究”，WZXGL202106。
（收稿日期：2022-07-12；修回日期：2022-10-31；编辑：张雪琴）

更新日期/Last Update: 2023-03-25