首页> 外文期刊>World pipelines >ANALYTICAL ALGORITHMS: Michael Barth and Michael Kasch, ILF, Germany, explain how artificial intelligence can help operators find hidden correlations and patterns in their data
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ANALYTICAL ALGORITHMS: Michael Barth and Michael Kasch, ILF, Germany, explain how artificial intelligence can help operators find hidden correlations and patterns in their data

机译:分析算法:Michael Barth和Michael Kasch,Ilf,德国,解释了人工智能如何帮助运营商在其数据中找到隐藏的相关性和模式

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摘要

Buzzwords like 'data mining', 'deep learning' and 'artificial intelligence' (AI) are currently flying around in almost every business and industry area. The same technologies used for screening users' privacy and analysing customers' preferences to improve sales figures are also applied to optimise technical processes for maintenance of assets and, with constantly growing attention, for physical and cyber protection of critical infrastructure. This article presents an overview of the methods currently being used, and outlines opportunities to add value to the safe and efficient operation of pipelines by applying Al methods to their data, which are rapidly growing as pipeline systems and facilities are operated, monitored and controlled in 24/7 mode.
机译:像“数据挖掘”一样的流行语,“深入学习”和“人工智能”(AI)目前几乎在每个企业和工业领域飞行。 用于筛选用户隐私和分析客户偏好的相同技术也适用于优化维护资产的技术流程,并且不断增长的关注,用于关键基础设施的物理和网络保护。 本文概述了目前正在使用的方法,并概述通过将AL方法应用于他们的数据来增加管道安全有效运行的机会,因为运营,监控和控制在流水线系统和设施时迅速增长。 24/7模式。

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