中外智慧管网发展现状与对策方案

1.中国石油大学（北京）管道技术与安全研究中心；2.中国石油大学（北京）机械与储运工程学院

1.Pipeline Technology and Safety Research Center, China University of Petroleum (Beijing);2.College of Mechanical and Transportation Engineering, China University of Petroleum (Beijing)

智慧管网具有全面感知、自动预判、自适应、自反馈、自学习等特征优势，近年来得到迅速发展，国内外智慧管网的侧重点有所不同，国外侧重于使用现代模型方法升级传统技术方法，而国内侧重于智慧系统的规划和整体设计。目前中国智慧管网建设仍处于起步阶段，在数字孪生体构建、传感技术、精准检测和评价、决策支持、模型构建、信息共享、大数据深度挖掘等方面缺乏系统性、规划性、科学性，基础模型和智能决策不足。阐述了智慧管网在国家管网多条管道上的开发与应用，逐步实现了设计、施工、运行等多环节覆盖。针对存在的问题，提出了解决方案：管网智能巡护，智慧管网的人工智能，视频实时监控智能识别，管道智能化应急防范，构建基于多源数据的智能化管理平台，灾害一体化智能监测与预警，管道完整性大数据融合、建模、决策支持等。建议进一步采用物联网、云平台、区块链等技术，研究建立管道全生命周期数据标准，构建管道全生命周期数据库，开展智能管网平台设计，包括管道全生命周期资产管控、运行控制、决策支持，最终形成基于多源数据融合的智能一体化管理平台。（参21）

With the main features of comprehensive perception, automatic prediction, self-adaptation, self-feedback and selflearning, the intelligent pipeline network has been developed rapidly in recent years. However, the focus of intelligent network varies at home and abroad. The focus is to upgrade the traditional technologies with modern models in foreign countries while the planning and overall design of intelligent system is focused in China. The construction of intelligent pipeline network in China is still in its early stages, it lacks of systematicness, planning and scientificity in construction of digital twins, sensing technology, accurate detection and evaluation, decision-making support, modeling, information sharing and deep mining of big data, and the basic model and intelligent decision-making are insufficient. The development and application of intelligent pipeline network in multiple pipelines of PipeChina were illustrated, with the coverage of such links as design, construction and operation realized. As for the existing problems, the following solutions were put forward: intelligent patrol, artificial intelligence of intelligent pipeline network, real-time video monitoring and intelligent recognition, intelligent emergency preparedness, construction of intelligent platform based on multi-source data, integrated intelligent monitoring and early warning of disasters, big data fusion, modeling and decision-making support of pipeline integrity, etc. It is recommended to further develop the full-life-cycle data standard of pipeline, build full-life-cycle database of pipeline, organize the platform design of intelligent pipeline network, including the asset management and control, operation control and decision-making support in the full-life-cycle of pipeline, and finally form an intelligent integrated management platform based on multi-source data fusion with the technologies of Internet of Things, cloud platform and blockchain, etc. (21 References)