Titlebook: Advanced Intelligent Pipeline Management Technology; Huai Su,Qi Liao,Enrico Zio Book 2023 The Editor(s) (if applicable) and The Author(s),

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https://doi.org/10.1007/978-981-19-9899-7Oil and Gas Engineering; Computer Science; Big Data; Safety Management; Intelligent Pipeline System; SDG

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The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Biblical Principles of Crisis Leadership safe and stable operation of pipelines during the scheduling horizon, it is necessary to make a reasonable schedule. During the past two decades, the pipeline scheduling problem has been widely studied in the world. This chapter conducts quantitative analysis and visual research on related literatu

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Nomos: Developing People from Rules to Love,ter calculation time and solution quality are always important indicators to measure the practicability of solution methods, especially in the real-time and active pipeline scheduling. The emergence of digital and intelligent technologies makes the data sensing and decision-making possible to be rea

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新鮮

Contrast Leader, Manager, and Administrator,of operational data, the data lacks associated condition labels, making it difficult to mine. Furthermore, the operating circumstances of the multi-product pipeline vary often, and identification and monitoring by on-site employees are prone to error, so the pipeline’s operating conditions cannot be

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