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智能管道发展现状及具体领域智能化的探讨2021-03-26

作者单位:1. 中国石化川气东送天然气管道有限公司,2. 西安石油大学石油工程学院
中文关键字:智能管道;建设指标;预测预警;算法模型
英文关键字:Smart pipeline; Construction index; Prediction and early warning; Algorithm model
中文摘要:大数据、人工智能、数字孪生等科技信息技术的高速发展,极大地推动了管道行业智能化转型升级。基于协同建造的数字化管道建设成果向管道生产运行系统的数字化交付,以及基于建设与运行数据向智能应用的数字化交付,构成了满足管道运行实时监测、远程实时控制、自主决策和智能预测预警等管理需求的完整体系,这一智能化体系的可持续发展有利于油气管道的高质量发展。通过总结提出了智能管道概念及其具体指标,并分类介绍了目前国内外在油气管道具体领域的智能算法模型。提出我国油气管道建设正在进入智能化时代,相关领域理论研究深入,但实际应用不够广泛,未来应以全面感知、综合预判、一体管控和自适应优化为目标进行建设,从而实现“智慧管网”。研究对推动管道智能化改革有一定的借鉴意义。

英文摘要:

The rapid development of scientific and technological information technologies, such as big data, artificial intelligence and digital twins, has greatly promoted the transformation and upgrading of the pipeline industry to intellectualization.The digital delivery of digital pipeline construction results based on collaborative construction to the pipeline production and operation system and the digital delivery based on construction and operation data to intelligent applications constitutes management system that meets real-time monitoring of pipeline operations, remote real-time control, independent decision-making, and intelligent prediction and early warning.The sustainability of this intelligent system is conducive to the high-quality development of oil and gas pipelines.In this paper, the concept of smart pipeline and its specific indicators are put forward,and intelligent algorithm models in specific fields of oil and gas pipelines at home and abroad are introduced as well.It is pointed out that the construction of oil and gas pipelines in China is entering the era of intelligence.The theoretical research in related fields is intensive, yet without broad application.In the future, the construction should be aimed at all-round perception, comprehensive prediction, integrated management and adaptive optimization, so as to achieve Smart Pipe Network.

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