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1. 发明授权

US08620602B2 System for detecting leaks in single phase and multiphase fluid transport pipelines 有权
标题翻译：用于检测单相和多相流体输送管道泄漏的系统
公开(公告)号：US08620602B2
公开(公告)日：2013-12-31
申请号：US12680225
申请日：2008-09-23
申请人： Julio Roberto Alonso
发明人： Julio Roberto Alonso
IPC分类号： G01F17/00
CPC分类号： F17D5/06
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).
摘要翻译：该专利是指用于检测单相和多相流体输送管道中的泄漏的系统，其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）安装在沿着管道的多个位置，目的是监测特征泄漏和正常的运行管线瞬态波形。本地处理器（5）负责获取和采样由传感器（4）提供的信号及其预处理，使其与神经模型的输入兼容，这与动态存储器组相关联，用于分析由传感器提供的信号，以便在检测到具有泄漏特性的波形的情况下发出警报。本地处理器（5）是实现和执行神经模型的必需品，并且在检测到泄漏的情况下，基于由泄漏引起的流体动力学瞬变的不同传播速度进行定位计算。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。

2. 发明申请

US20130066568A1 INTEGRATED SYSTEM WITH ACOUSTIC TECHNOLOGY, MASS IMBALANCE AND NEURAL NETWORK FOR DETECTING, LOCATING AND QUANTIFYING LEAKS IN DUCTS 审中-公开
标题翻译：集成系统与声学技术，质量不匹配和神经网络检测，定位和定量漏洞
公开(公告)号：US20130066568A1
公开(公告)日：2013-03-14
申请号：US13639868
申请日：2011-04-12
申请人： Julio Roberto Alonso
发明人： Julio Roberto Alonso
IPC分类号： G01M3/00 , G06F19/00
CPC分类号： G01M3/243 , F17D5/06
摘要： The invention here presented regards to an integrated leak detection system which combines the acoustic technology with mass balance technology using artificial neural networks to achieve leak location, quantification provided with pressure sensors installed in strategic points along the pipeline, which act as acoustic sensors or sonic sensors; remotes units denominated FPU (Field Processing Unit); analog and digital filters; artificial neural networks (ANN); and, center monitoring station responsible for gathering and processing system information, using artificial neural networks algorithms that process also signals from the mass balance CFD (Computacional Fluid Dynamics) based on flow temperature pressure and density readings, to allow process parameter actualization in real time such as fluid density, acoustic wave propagation speed, flow speed and signal attenuation coefficient.
摘要翻译：这里提出的发明涉及一种综合的泄漏检测系统，其将声学技术与使用人造神经网络的质量平衡技术相结合，以实现泄漏位置，量化设置有安装在沿着管道的战略点的压力传感器，其作为声传感器或声音传感器 ; 遥控单位名义FPU（现场处理单位）; 模拟和数字滤波器; 人工神经网络（ANN）; 以及负责收集和处理系统信息的中心监测站，使用基于流量温度压力和密度读数的质量平衡CFD（Computational Fluid Dynamics）处理信号的人工神经网络算法，以实时地实现过程参数实现作为流体密度，声波传播速度，流速和信号衰减系数。

3. 发明申请

US20100312502A1 SYSTEM FOR DETECTING LEAKS IN SINGLE PHASE AND MULTIPHASE FLUID TRANSPORT PIPELINES 有权
标题翻译：检测单相和多相流体运输管道泄漏的系统
公开(公告)号：US20100312502A1
公开(公告)日：2010-12-09
申请号：US12680225
申请日：2008-09-23
申请人： Julio Roberto Alonso
发明人： Julio Roberto Alonso
IPC分类号： G01M3/28
CPC分类号： F17D5/06
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).
摘要翻译：该专利是指用于检测单相和多相流体输送管道中的泄漏的系统，其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）安装在沿着管道的多个位置，目的是监测特征泄漏和正常的运行管线瞬态波形。本地处理器（5）负责获取和采样由传感器（4）提供的信号及其预处理，使其与神经模型的输入兼容，这与动态存储器组相关联，用于分析由传感器提供的信号，以便在检测到具有泄漏特性的波形的情况下发出警报。本地处理器（5）是实现和执行神经模型的必需品，并且在检测到泄漏的情况下，基于由泄漏引起的流体动力学瞬变的不同传播速度进行定位计算。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。

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