SHUI Biyuan. Basic concepts and general ideas of intelligent pipeline network[J]. Oil & Gas Storage and Transportation, 2020, 39(12): 1321-1330. DOI: 10.6047/j.issn.1000-8241.2020.12.001
Citation: SHUI Biyuan. Basic concepts and general ideas of intelligent pipeline network[J]. Oil & Gas Storage and Transportation, 2020, 39(12): 1321-1330. DOI: 10.6047/j.issn.1000-8241.2020.12.001

Basic concepts and general ideas of intelligent pipeline network

  • To construct intelligent pipeline network, it is essential to solve the problem about the understanding andunification of basic concepts and general ideas. The basic concepts related to intelligent pipeline network should beinterpreted based on the development status of artificial intelligence technology, and the connotation and denotation of theconcept of intelligent pipeline network should be corrected according to the actual engineering application. In this study, the concept of industrial intelligence was put forward. It was also pointed out that the essence of intelligent industry wasthe digital application of industrial intelligence, i.e., machines could recognize and apply human knowledge, and intelligentpipeline network was a category of intelligent industry. Based on the characteristics of human intelligence, the definition, capabilities, characteristics and construction objectives of intelligent pipeline network were proposed, the concept ofindustrial knowledge was redefined, the concept that the intelligent pipeline network was driven by knowledge was putforward, and the technical route of intelligent decision-making for operation of pipeline network based on the industrialknowledge base was clarified. The general idea was proposed, which was to construct Digital Twin pipeline network systemand artificial intelligence brain and to realize the intelligent operation of pipeline network based on the cloud platform ofintelligent pipeline network. It is clear that the main role of people in the entire architecture of intelligent pipeline networkis to create and supply knowledge for the intelligent pipeline network. The research results could provide reference for theconstruction of intelligent pipeline network.
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