|本期目录/Table of Contents|

[1]李新宏,张宇航,郭孟孟,等.基于数字孪生的腐蚀海底管道安全管理方法研究*[J].中国安全生产科学技术,2025,21(1):118-123.[doi:10.11731/j.issn.1673-193x.2025.01.015]
　LI Xinhong,ZHANG Yuhang,GUO Mengmeng,et al.Study on safety management method of corroded submarine pipeline based on digital twin[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2025,21(1):118-123.[doi:10.11731/j.issn.1673-193x.2025.01.015]
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基于数字孪生的腐蚀海底管道安全管理方法研究*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
21
期数:
2025年1期
页码:
118-123
栏目:
职业安全卫生管理与技术
出版日期:
2025-01-30

文章信息/Info

Title:
Study on safety management method of corroded submarine pipeline based on digital twin
文章编号:
1673-193X(2025)-01-0118-06
作者:
李新宏; 张宇航; 郭孟孟; 张认认; 韩子月; 刘秀全; 畅元江
（1.西安建筑科技大学 资源工程学院，陕西 西安 710055；
2.中国石油大学(华东)海洋油气装备与安全技术研究中心，山东 青岛 266580）
Author(s):
LI Xinhong;  ZHANG Yuhang;  GUO Mengmeng;  ZHANG Renren;  HAN Ziyue;  LIU Xiuquan;  CHANG Yuanjiang
(1.School of Resources Engineering,Xi’an University of Architecture and Technology,Xi’an Shaanxi 710055,China;
2.Centre for Offshore Engineering and Safety Technology (COEST),China University of Petroleum (East China),Qingdao Shandong 266580,China)
关键词:
数字孪生; 海底管道; 安全管理; 系统架构
Keywords:
digital twin;  submarine pipeline;  safety management;  system architecture
分类号:
X937
DOI:
10.11731/j.issn.1673-193x.2025.01.015
文献标志码:
A
摘要:
为克服目前海底管道腐蚀监测和维护方法的局限性，基于数字孪生技术，提出1种腐蚀海底管道安全管理的数字孪生系统框架，包括物理层、数据层、模型与功能层和服务层4层；通过分析数字孪生安全管理关键技术和数字孪生技术安全管理实施步骤，将机器学习回归预测和优化模型应用到模型与功能层，对管道的腐蚀失效风险进行预测。研究结果表明：应用数字孪生系统可提前识别管道可能出现的风险和故障，实现对腐蚀海底管道的智能化预测和有效防护。研究结果可为建立腐蚀海底管道在线监测管理平台提供理论基础。
Abstract:
In order to overcome the limitations of current corrosion monitoring and maintenance methods for submarine pipelines,a digital twin system framework for the safety management of corroded submarine pipelines was proposed based on the digital twin technology,including four layers: physical layer,data layer,model and function layer,and service layer.By analyzing the key technologies and implementation steps of digital twin safety management,the machine learning regression prediction and optimization models were applied to the model and function layer,and the corrosion failure risk of the pipelines was predicted.The results show that the application of digital twin system can identify the possible risks and faults of pipelines in advance,and realize the intelligent prediction and effective protection of corroded submarine pipelines.The research results can provide a theoretical basis for establishing an online monitoring and management platform for corroded submarine pipelines.

参考文献/References:

［1］AMAYA-GóMEZ R,SáNCHEZ-SILVA M,MUOZ F.Integrity assessment of corroded pipelines using dynamic segmentation and clustering［J］.Process Safety and Environmental Protection,2019,128:284-294.
［2］LI M,ZHENG H,XUE X,et al.Reliability evaluation and management of PetroChina’s large-scale system of natural gas pipeline networks［J］.Journal of Natural Gas Geoscience,2019,4(5):287-295.
［3］PARK K,LEE G,KIM C,et al.Comprehensive framework for underground pipeline management with reliability and cost factors using monte carlo simulation［J］.Journal of Loss Prevention in the Process Industries,2020,63:104035.
［4］苗青,闫锋,徐波,等.基于可靠性的原油管道流动安全管理体系构建［J］.油气储运,2013,32(8):805-808. MIAO Qing,YAN Feng,XU Bo,et al.Construction of crude oil pipeline flow safety management system based on reliability［J］.Oil & Gas Storage and Transportation,2013,32(8):805-808.
［5］BADIDA P,BALASUBRAMANIAM Y,JAYAPRAKASH J.Risk evaluation of oil and natural gas pipelines due to natural hazards using fuzzy fault tree analysis［J］.Journal of Natural Gas Science and Engineering,2019,66:284-292.
［6］KHAN F,YARVEISY R,ABBASSI R.Risk-based pipeline integrity management:a road map for the resilient pipelines［J］.Journal of Pipeline Science and Engineering,2021,1(1):74-87.
［7］KRAIDI L,SHAH R,MATIPA W,et al.An investigation of mitigating the safety and security risks allied with oil and gas pipeline projects［J］.Journal of Pipeline Science and Engineering,2021,1(3):349-359.
［8］黄忠宏,帅健,徐后佳,等.城镇燃气管道完整性管理效能评价方法［J］.中国安全生产科学技术,2021,17(S1):165-171. HUANG Zhonghong,SHUAI Jian,XU Houjia,et al.Effectiveness evaluation method of urban gas pipeline integrity management［J］.Journal of Safety Science and Technology,2021,17(Supplement 1):165-171.
［9］陶飞,刘蔚然,刘检华,等.数字孪生及其应用探索［J］.计算机集成制造系统,2018,24(1):1-18. TAO Fei,LIU Weiran,LIU Jianhua,et al.Digital twin and its potential application exploration［J］.Computer Integrated Manufacturing Systems,2018,24(1):1-18.
［10］王金江,于昊天,张凤丽,等.基于数字孪生的智慧油气站场设计与开发［J］.油气储运,2022,41(4):391-396. WANG Jinjiang,YU Haotian,ZHANG Fengli,et al.Design and development of intelligent oil and gas stations based on digital twin［J］.Oil & Gas Storage and Transportation,2022,41(4):391-396.
［11］LI M,FENG X,HU Q.3D laser point cloud-based geometric digital twin for condition assessment of large diameter pipelines［J］.Tunnelling and Underground Space Technology,2023,142:105430.
［12］张宏,季蓓蕾,刘燊,等.地质灾害段管道结构安全数字孪生机理模型［J］.油气储运,2021,40(10):1099-1104. ZHANG Hong,JI Beilei,LIU Shen,et al.Digital twin mechanism model for the structural safety of pipelines in geohazards area［J］.Oil & Gas Storage and Transportation,2021,40(10):1099-1104.
［13］PRIYANKA E B,THANGAVEL S,GAO X Z,et al.Digital twin for oil pipeline risk estimation using prognostic and machine learning techniques［J］.Journal of Industrial Information Integration,2022,26:100272.
［14］XUE X,BO L,JIANNAN G.Asset management of oil and gas pipeline system based on digital twin［J］.IFAC-Papers OnLine,2020,53(5):715-719.
［15］LIANG J,MA L,LIANG S,et al.Data-driven digital twin method for leak detection in natural gas pipelines［J］.Computers and Electrical Engineering,2023,110:108833.

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备注/Memo

备注/Memo:
收稿日期： 2024-07-25
* 基金项目： 国家自然科学基金项目(52471300)；中国高等教育学会2023年度高等教育科学研究规划课题项目(23SZH0424)；陕西省重点研发计划项目(2024SF-YBXM-662)
作者简介： 李新宏，博士，副教授，主要研究方向为能源管道风险与可靠性、动态及智能化风险评估理论与方法。
更新日期/Last Update: 2025-01-26