首页> 外国专利> SYSTEM FOR DETECTING LEAKS IN SINGLE PHASE AND MULTIPHASE FLUID TRANSPORT PIPELINES

SYSTEM FOR DETECTING LEAKS IN SINGLE PHASE AND MULTIPHASE FLUID TRANSPORT PIPELINES

机译:单相和多相流体输送管道泄漏检测系统

摘要

This patents refers to a system developed for detecting leaks in single-phase and multiphase fluid transport pipelines characterized by use measurements cells (3), sensors (4), locals processors (5) and neural models, where the measuring sensors (4) and the measurement cells (3) are installed at a number of locations along the pipeline with the purpose of monitoring the characteristic leak and normal operational pipeline transient waveforms. The local processors (5) are responsible for obtaining and sampling the signals supplied by the sensors (4), as well as their pre-processing, to make them compatible with the inputs to the neural model, this are associated to dynamic memory banks for analyzing the signals supplied by the sensors with the aim of emitting an alarm in the event that waveforms with the characteristics of a leak are detected. The local processors (5) are necessaries to implement and execute the neural models and, in the event that a leak is detected, carry out the localization calculations based on the different propagation velocities of the fluid dynamic transient caused by the leak. The system use of a communications network for transmitting data between the local processors with the aim of comparing the alarms originating from the local processors (5).
机译:该专利涉及为检测单相和多相流体输送管道中的泄漏而开发的系统,该系统的特征在于使用测量单元( 3 ),传感器( 4 ),本地处理器( 5 )和神经模型,其中测量传感器( 4 )和测量单元( 3 )沿安装在多个位置目的在于监控特征泄漏和正常运​​行的管道瞬态波形。本地处理器( 5 )负责获取和采样传感器( 4 )提供的信号以及对其进行预处理,以使其与传感器兼容。神经模型的输入,与动态存储库相关联,用于分析传感器提供的信号,目的是在检测到具有泄漏特征的波形时发出警报。本地处理器( 5 )是实现和执行神经模型的必要条件,并且在检测到泄漏的情况下,根据引起的流体动态瞬变的不同传播速度来进行定位计算。通过泄漏。该系统使用通信网络在本地处理器之间传输数据,目的是比较源自本地处理器( 5 )的警报。

著录项

  • 公开/公告号US2010312502A1

    专利类型

  • 公开/公告日2010-12-09

    原文格式PDF

  • 申请/专利权人 JULIO ROBERTO ALONSO;

    申请/专利号US20080680225

  • 发明设计人 JULIO ROBERTO ALONSO;

    申请日2008-09-23

  • 分类号G01M3/28;

  • 国家 US

  • 入库时间 2022-08-21 18:10:00

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号