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Updated: Jul 20, 2025

Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions
08:18

Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions

Published on: June 12, 2016

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基于AI的物联网框架,用于在外部运输液化天然气时检测泄漏及其后果预测

Amiya Dash1, Shuvabrata Bandopadhay2, Soumya Ranjan Samal3,4

  • 1School of Engineering and Technology, BML Munjal University, Gurugram 122413, India.

Sensors (Basel, Switzerland)
|July 29, 2023
PubMed
概括

人工智能和物联网框架在运输过程中自动检测液化石油气 (LPG) 泄漏. 该系统预测事故后果,使灾难响应速度更快,并尽量减少潜在的破坏.

关键词:
这就是为什么物联网物联网物联网.人工智能的人工智能是人工智能.计算流体动力学 (CFD) 计算流体动力学灾难管理 灾难管理工业事故工业事故发生.

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