Intelligent pipeline network at home and abroad: development status, existing problems and solutions

Abstract

With the main features of comprehensive perception, automatic prediction, self-adaptation, self-feedback and self-learning, 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.

Keywords

• intelligent pipeline network
• digital twins
• big data
• decision-making support
• solutions