基于物联网和大数据的全生命周期智慧管道实施构想
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摘要
目前油气管道行业已实现基本的数字化和信息技术的应用,但由于传统发展模式及历史方面原因,管道企业仍然存在管理效率低、人工成本高、技术决策风险偏高等问题,随着"互联网+"信息技术革命及油气管道行业的迅速发展,智慧管道必将成为管道行业的未来发展方向。基于物联网、大数据等技术,以中亚天然气管道D线工程为例,在管线全生命周期内提出智慧管道的实施构想,即建立一套统一的数据标准,构建一个统一的数据平台,打造一个基于物联网的信息感知系统,加快部署一个智能物资供应链体系,逐步建立一个智能高效的管道系统,确保管道预测预警可控。智慧管道的建设是一项系统性工程,不可能一蹴而就,在智慧管道实施过程中,建议加强顶层设计,重点解决跨国数据互联问题,继续开展信息交换、协同调控、网络数据平台整合、数据挖掘、物联网应用等关键技术的研究工作。
Nowadays,oil and gas pipeline industry has realized basic digitization and the application of information technology. But because of traditional development patterns and historical reasons,there still have many unresolved issues such as low efficient management,high labor cost and high technical decision-making risks in pipeline companies. With the rapid development of the Internet Plus information technology revolution and the booming of pipeline industries,the intelligent pipeline is an inevitable trend in the future. Based on technologies such as Internet of Things and big data,taking the Line D project of Central Asia Gas Pipeline as an example, the implementation scheme of the intelligent pipeline in the whole life cycle is proposed,that is,to establish an uniform data standard,build an unified data platform,forge an information perception system based on Internet of Things,rapidly deploy an intelligent material supply chain system,gradually establish an intelligent and efficient pipeline system,and ensure the pipeline warning is predictive and controllable. Intelligent pipeline construction is a systematic project and it is impossible to do it all at once. During the implementation of intelligent pipeline,it is suggested to strengthen its top-level design,focus on the transnational data interconnection issues and continue to study key technologies such as information exchange,collaboration and coordination, integration of network data platform, data deep-mining and application of Internet of Things.
Nowadays,oil and gas pipeline industry has realized basic digitization and the application of information technology. But because of traditional development patterns and historical reasons,there still have many unresolved issues such as low efficient management,high labor cost and high technical decision-making risks in pipeline companies. With the rapid development of the Internet Plus information technology revolution and the booming of pipeline industries,the intelligent pipeline is an inevitable trend in the future. Based on technologies such as Internet of Things and big data,taking the Line D project of Central Asia Gas Pipeline as an example, the implementation scheme of the intelligent pipeline in the whole life cycle is proposed,that is,to establish an uniform data standard,build an unified data platform,forge an information perception system based on Internet of Things,rapidly deploy an intelligent material supply chain system,gradually establish an intelligent and efficient pipeline system,and ensure the pipeline warning is predictive and controllable. Intelligent pipeline construction is a systematic project and it is impossible to do it all at once. During the implementation of intelligent pipeline,it is suggested to strengthen its top-level design,focus on the transnational data interconnection issues and continue to study key technologies such as information exchange,collaboration and coordination, integration of network data platform, data deep-mining and application of Internet of Things.
引文
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[8]杨宝龙,周利剑,刘军等.长输管道完整性管理物联网应用架构初探[J].完整性与可靠性,2016,35(11):1 164-1 168.
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[11]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].完整性与可靠性,2017,36(1):28-36.
[12]连鹏国.油气管道安全预警技术性能评估与分析[J].油气田地面工程,2017,36(10):44-46.
[2]郭永伟,程傲南.“互联网+”智慧能源:未来能源发展方向[J].经济问题,2015(11):61-64.
[3]周利剑,贾韶辉.管道完整性管理信息化研究进展与发展方向[J].油气储运,2014,33(6):571-576.
[4]薛光,袁献忠,张继亮.基于完整性管理的川气东送数字化管道系统[J].油气储运,2011,30(4):266-268.
[5]关中原,高辉,贾秋菊.油气管道安全管理及相关技术现状[J].油气储运,2015,34(5):457-463.
[6]刘锐,张利波,陈玉霞.物联网技术在输气站场建设中的应用展望[J].完整性与可靠性,2017,36(6):61-73.
[7]崔红升,魏政.物联网技术在油气管道中的应用展望[J].油气储运,2011,30(8):603-607.
[8]杨宝龙,周利剑,刘军等.长输管道完整性管理物联网应用架构初探[J].完整性与可靠性,2016,35(11):1 164-1 168.
[9]董绍华,安宇.基于大数据的管道系统数据分析模型及应用[J].油气储运,2015,34(10):1 027-1 032.
[10]王维斌.长输油气管道大数据管理架构及应用[J].油气储运,2015,34(3):229-232.
[11]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].完整性与可靠性,2017,36(1):28-36.
[12]连鹏国.油气管道安全预警技术性能评估与分析[J].油气田地面工程,2017,36(10):44-46.