Petroleum Science and Technology Forum ›› 2018, Vol. 37 ›› Issue (3): 34-40.DOI: 10.3969/j.issn.1002-302x.2018.03.006

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Present Conditions of China’s Intelligent Pipelines Construction and Key Technologies

Cheng Wanzhou, Wang Juhong, Wang Xueli, Wang Xin   

  1. PetroChina Pipelines Company, Langfang 065000, China
  • Online:2018-07-05 Published:2018-07-17
  • Supported by:
     

我国智慧管道建设现状及关键技术探讨

程万洲 王巨洪 王学力 王 新   

  1. 中国石油管道公司
  • 基金资助:
    中石油管道有限责任公司科技攻关项目“油气管道重点设备拆分与故障分类研究”(编号:2016D-5007-0513)。

Abstract: Industrial manufacture is developing towards intelligence at a higher level with rapid development and application of new information technologies worldwide, such as Internet of Things, new-generation mobile broadband network, cloud computing and big data analysis. China is making active efforts for construction of “intelligent pipelines”. Based on analysis of the background and present conditions of intelligent pipelines, this paper fully elaborates the key technological issues and related solutions in construction of intelligent pipelines. According to the paper, it is necessary to unify the data and standards, interconnect the systems, construct Internet of Things for pipelines, perfect the terminals for data acquisition, make use of the latest sensing technology, put magnitude of the acquired data into cloud storage, and make the pipelines fully intelligently-sensed. Meanwhile, the efforts should be focused on construction of pipelines data center, innovation of big data analysis technological application, optimization of system resources, and realization of intelligent policy analysis and intelligent application, ensuring safety, environmental-friendliness and economic efficiency of pipeline construction and operation.

 

摘要: 随着全球物联网、新一代移动宽带网络、云计算、大数据分析等新一轮信息技术的迅速发展和深入应用, 工业制造向更高阶段的智能化发展,我国管道行业正积极探索建设“智慧管道”。通过分析智慧管道的提出背景与建 设现状,全面阐述了智慧管道建设中的关键技术问题与解决方案。指出需全面统一数据标准,实现系统互联互通;搭 建管道物联网,健全数据采集端,利用先进的感知技术,将采集到的海量数据纳入云存储,实现管道全面智能感知; 建设管道数据中心,创新应用大数据分析技术,优化系统资源,智能决策分析,实现智能化应用,以确保管道建设运 行安全环保、经济高效。

关键词: 智慧管道, 物联网, 大数据分析, 数据中心, 智能化, 全生命周期

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