基于大数据的全生命周期智能管网解决方案

发布时间：2018-05-13 01:33

本文选题：大数据 + 全生命周期　；参考：《油气储运》2017年01期

【摘要】：智能管网可以解决当前系统繁多及数据采集与应用脱节的问题,实现油气管道安全、高效、可持续发展。全面阐述了国内外数字化管道、智能管网的实施进展,分析了智能管网发展的特点、难点以及存在的问题,研究建立了管道全生命周期数据标准,构建了管道全生命周期数据库。提出了全生命周期智能管网的设计架构,包括管道全生命周期资产设施管控、运行管理控制、决策支持3个方面。提出了基于GIS的智能化管理平台方案,搭建了管道建设与运维一体化智能管理平台,一是用于建设期施工数据采集、数字化数据库移交、施工质量可视化管理;二是用于运营期腐蚀防护电位控制,在线完整性评估,高后果区、地区等级升级地区的风险评估,以及无人机巡线等完整性管理循环;三是用于管网的决策支持,包括大数据建模、应急决策支持、焊缝大数据风险识别、基于物联网的灾害监测预警、管道泄漏实时监测、远程设备维护培训、远程故障隐患可视化巡检、移动应用等。智能管网的推广应用,有利于管道管理水平的提升,为决策者提供足够的信息,从而保障管道安全、高效运营。
[Abstract]:Intelligent pipe network can solve the problems of various systems and the disconnection between data collection and application, and realize the safety, high efficiency and sustainable development of oil and gas pipeline. The implementation progress of digital pipeline and intelligent pipeline network at home and abroad is comprehensively expounded. The characteristics, difficulties and problems of the development of intelligent pipeline network are analyzed, and the whole life cycle data standard of pipeline is studied and established. The whole life cycle database of pipeline is constructed. The design framework of the whole life cycle intelligent pipeline network is proposed, which includes three aspects: pipeline life cycle asset facility control, operation management control, and decision support. The intelligent management platform based on GIS is put forward, and the integrated intelligent management platform of pipeline construction and operation and maintenance is built. Firstly, it is used to collect construction data, transfer digital database and visualize construction quality management. The second is for the integrity management cycle of corrosion protection potential control, on-line integrity assessment, risk assessment in high-consequence areas, regional grade upgrading areas, and unmanned aerial vehicle inspection lines during the operation period. Third, it is used for pipe network decision support. It includes big data modeling, emergency decision support, weld big data risk identification, disaster monitoring and warning based on the Internet of things, pipeline leakage real-time monitoring, remote equipment maintenance training, remote hidden trouble visual inspection, mobile applications, etc. The popularization and application of intelligent pipe network is beneficial to the improvement of pipeline management level and provides sufficient information for decision makers to ensure pipeline safety and efficient operation.
【作者单位】：中国石油大学(北京);
【基金】：中国石油天然气集团公司“十三五”重大科研项目“基于大数据的内检测综合分析模型与决策支持技术研究”,2016B-3105
【分类号】：TE832.2

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