熊明, 古丽, 吴志锋, 邓勇, 李双琴, 邹妍, 李章青, 奉城民. 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. DOI: 10.6047/j.issn.1000-8241.2019.05.003
引用本文: 熊明, 古丽, 吴志锋, 邓勇, 李双琴, 邹妍, 李章青, 奉城民. 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. DOI: 10.6047/j.issn.1000-8241.2019.05.003
XIONG Ming, GU Li, WU Zhifeng, DENG Yong, LI Shuangqin, ZOU Yan, LI Zhangqing, FENG Chengmin. 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. DOI: 10.6047/j.issn.1000-8241.2019.05.003
Citation: XIONG Ming, GU Li, WU Zhifeng, DENG Yong, LI Shuangqin, ZOU Yan, LI Zhangqing, FENG Chengmin. 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. DOI: 10.6047/j.issn.1000-8241.2019.05.003

在役油气管道数字孪生体的构建及应用

Construction and application of digital twin in the in-service oil and gas pipeline

  • 摘要: 中缅油气管道是中国首条经过数字化恢复构建数字孪生体的在役山地管道。通过基准点测量、管道中线探测、航空摄影测量、三维激光扫描、三维地形构建、倾斜摄影、数字三维建模等技术进行数据收集、校验及对齐,对管道建设期的设计、采办、施工及部分运行期的数据进行恢复,对站场及管道的设备、建筑等构建数字三维模型,形成管道线路数据资产库和站场数据资产库,构建中缅油气管道的数字孪生体。通过多系统融合,深入发掘数据价值,实现管道可视化运行、设备拆解培训、指导维检修作业及应急抢险作业等,为实现管网智慧化运营奠定了数据基础。

     

    Abstract: China-Myanmar oil and gas pipeline is the first in-service mountain pipeline that has been digitally restored to form a digital twin in China. In this paper, its data collection, verification and alignment were conducted by means of datum survey, pipeline midline detection, aerial hotogrammetry, 3D laser scanning, 3D terrain construction, oblique photogrammetry and digital 3D modeling. The design, procurement, construction data in the period of pipeline construction and partial data in the period of pipeline operation were restored. The digital 3D models were constructed for the equipment and buildings of the stations and pipelines, and the data asset bases were created for pipeline routes and stations. Thus, a digital twin was built up for China-Myanmar oil and gas pipeline. It is indicated that by means of multi-system integration, data value can be deeply explored and visual pipeline operation, equipment disassembly training and maintenance & repair operation and emergency operation guidance can be realized. The research results provide the data foundation for intelligent operation of pipeline networks.

     

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