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Seawater type LNG vaporizer monitoring device based on machine learning

机译:基于机器学习的海水型LNG蒸发器监控装置

摘要

The present invention relates to a seawater type LNG vaporizer monitoring device based on micro-machine learning. In other words, it is installed in the LNG seawater vaporizer facility, measures the pressure and temperature of LNG at the inlet where liquid LNG flows in, and measures the flow rate and temperature of vaporized NG to collect data, and then to maintain the vaporization performance. The ultra-compact, configured to be able to control the flow rate of the seawater pump based on data such as seawater pressure, temperature, and flow, and to simultaneously store the collected data in the database and perform inquiry, visualization and control based on the stored data It relates to a seawater type LNG vaporizer monitoring device based on machine learning. In this case, based on the collected data, it is possible to notify the normal or abnormal state of the seawater pump and the vaporizer by mounting artificial intelligence, and it relates to a seawater-type LNG vaporizer monitoring device based on miniature machine learning.
机译:本发明涉及一种基于微机器学习的海水型LNG蒸发器监测装置。换句话说,它安装在LNG海水蒸发器设施中,测量液体LNG流入的入口处的LNG的压力和温度,并测量蒸发的NG的流速和温度收集数据,然后保持蒸发表现。超紧凑型,配置为能够基于诸如海水压力,温度和流量的数据来控制海水泵的流量,并同时将收集的数据存储在数据库中,并基于以下执行查询,可视化和控制存储的数据涉及一种基于机器学习的海水型LNG蒸发器监控装置。在这种情况下,基于所收集的数据,可以通过安装人工智能来通知海水泵和蒸发器的正常或异常状态,并且涉及一种基于微型机器学习的海水型LNG蒸发器监控装置。

著录项

  • 公开/公告号KR102347834B1

    专利类型

  • 公开/公告日2022-01-07

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020210116706

  • 申请日2021-09-02

  • 分类号B63B25/16;B63B13;B63B79/10;F17C13/02;F17C9/02;

  • 国家 KR

  • 入库时间 2024-06-14 22:41:38

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