会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 21. 发明申请
    • METHOD AND APPARATUS FOR DETECTING, IDENTIFYING AND LOCATING ANOMALOUS EVENTS WITHIN A PRESSURIZED PIPE NETWORK
    • 用于检测,识别和定位加压管网中异常事件的方法和装置
    • US20160252422A1
    • 2016-09-01
    • US15031057
    • 2014-11-07
    • Ivan HOWITT
    • Ivan HOWITT
    • G01M3/28
    • G01M3/2807E03B7/071Y02A20/15
    • Pipeline networks are ubiquitous for transporting fluids. Failure modes may result in a wide spectrum of negative effects ranging from energy loss to revenue loss to catastrophic failure with loss of life. The present invention introduces innovative technology to detect, identify and locate events representing failure modes and/or precursors to failure modes within a pipeline network. The present invention addresses the issues with the prior art based on the following innovations—exploiting the signal processing enabled by detecting the passive acoustic signal in conjunction with both an active reflected acoustic signal and an active transmittive acoustic signal within a pipeline segment. These measurements can be aggregated to reduce the effects of ambient noise and improve the invention's ability to detect, identify and locate anomalous events representing failure modes and/or precursors to failure modes within a pipeline network.
    • 管道网络无处不在用于输送流体。 故障模式可能会导致广泛的负面影响,从能量损失到收入损失到由于生命损失而导致的灾难性失败。 本发明引入创新技术来检测,识别和定位表示故障模式的事件和/或管线网络内的故障模式的前兆。 本发明基于以下创新来解决现有技术的问题 - 利用通过在管线段内结合主动反射声信号和有源透射声信号两者来检测无源声信号而实现的信号处理。 这些测量可以被聚合以减少环境噪声的影响,并且提高本发明检测,识别和定位表示管道网络内的故障模式和/或故障模式的前兆的异常事件的能力。
    • 22. 发明申请
    • METHOD FOR DETECTING A BURST HOSE IN A HYDRAULIC SYSTEM
    • 在液压系统中检测爆管软管的方法
    • US20160187221A1
    • 2016-06-30
    • US14910735
    • 2014-08-08
    • EATON CORPORATION
    • Michael Berne RANNOW
    • G01M3/28
    • G01M3/2815F15B19/005F15B20/005G01F1/36G01M3/2807
    • A system and method for detecting a leak in a hose of a hydraulic system having a control valve assembly with first and second work ports in fluid communication with an actuator is disclosed. In one aspect, the method includes estimating a first hydraulic fluid flow rate for fluid flowing from the control valve assembly first work port to the actuator. Another step may be estimating a second hydraulic fluid flow rate for fluid flowing from the actuator to the control valve assembly second work port. In one step, a proportional flow rate difference is calculated between the first and second hydraulic fluid flow rates. Subsequently, a flow error value can be calculated by subtracting the flow rate difference from a predetermined margin value. Where the flow error value integrated over time exceeds a total flow error threshold value, a hydraulic fluid leak signal can be generated.
    • 公开了一种用于检测具有具有与致动器流体连通的第一和第二工作端口的控制阀组件的液压系统的软管中的泄漏的系统和方法。 在一个方面,该方法包括估计用于从控制阀组件第一工作端口流动到致动器的流体的第一液压流体流速。 另一步骤可以是估计用于从致动器流向控制阀组件第二工作端口的流体的第二液压流体流速。 在一个步骤中,在第一和第二液压流体流量之间计算比例流量差。 随后,可以通过从预定的余量值减去流量差来计算流量误差值。 当随时间积分的流量误差值超过总流量误差阈值时,可以产生液压流体泄漏信号。
    • 26. 发明申请
    • INTELLIGENT ADAPTIVE SYSTEM AND METHOD FOR MONITORING LEAKAGE OF OIL PIPELINE NETWORKS BASED ON BIG DATA
    • 智能自适应系统和基于大数据的油管网络泄漏监测方法
    • US20150308919A1
    • 2015-10-29
    • US14692502
    • 2015-04-21
    • Northeastern University
    • Huaguang ZHANGDazhong MAJian FENGJinhai LIUGang WANGZhenning WUQiuye SUNXiaoyu LI
    • G01M3/28
    • G01M3/2807G01M3/243
    • The present invention relates to an intelligent adaptive system and method for monitoring leakage of oil pipeline networks based on big data. The present invention effectively analyzes a large amount of data collected on site within a reasonable time period and obtains a state of a pipeline network by an intelligent adaptive method, thereby obtaining a topological structure of a pipeline network. The present invention specifically adopts a flow balance method in combination with information conformance theory to analyze whether the pipeline network has leakage; small amount of leakage and slow leakage can be perfectly and accurately alarmed upon detection; as a generalized regression neural network is adopted to locate a leakage of the pipeline network, an accuracy of a result is increased. Therefore, the present invention adopts a policy and intelligent adaptive method based on big data to solve problems of detecting and locating leakage of the pipeline network.
    • 本发明涉及一种基于大数据监测油管网泄漏的智能自适应系统和方法。 本发明有效地分析了在合理时间段内现场收集的大量数据,并通过智能自适应方法获得了管网的状态,从而获得了管网的拓扑结构。 本发明具体采用流量平衡法与信息一致性理论相结合,分析管网是否有泄漏; 检测时可以完全准确地报警泄漏量低,泄漏量低; 采用广义回归神经网络来定位管网泄漏,提高了精度。 因此,本发明采用基于大数据的策略和智能自适应方法来解决检测和定位管网泄漏的问题。
    • 27. 发明授权
    • Apparatus and method for monitoring a steam plant
    • 用于监测蒸汽设备的设备和方法
    • US09157829B2
    • 2015-10-13
    • US13709431
    • 2012-12-10
    • Spirax-Sarco Limited
    • Lyubka Spasova
    • G01M3/28F22B37/38G06F17/00G01M3/16F16T1/48
    • G01M3/2807F16T1/48F22B37/38G01M3/16G06F17/00
    • The invention relates to a monitoring apparatus (312) for a steam plant, the apparatus comprising: a vibro-acoustic sensor (311) associated with a component of the steam plant, the sensor (311) being configured to provide an output indicative of the operating condition of the component; and a condition monitoring unit (313) coupled to the sensor (311); wherein the condition monitoring unit (313) is configured to analyze the output of the sensor (311) in order to identify characteristics attributed to live steam and characteristics attributed to condensate and to estimate steam leakage and condensate load for the component based on the identified characteristics. The invention also relates to a corresponding method of monitoring a steam plant.
    • 本发明涉及一种用于蒸汽设备的监测设备(312),该设备包括:与蒸汽设备的部件相关联的振动声学传感器(311),所述传感器(311)被配置为提供指示所述蒸汽设备 组件的运行状态; 以及耦合到所述传感器(311)的状态监视单元(313)。 其中所述条件监测单元(313)被配置为分析所述传感器(311)的输出,以便识别归因于活蒸汽的特性和归因于冷凝物的特性,并且基于所识别的特性来估计所述部件的蒸汽泄漏和冷凝物负载 。 本发明还涉及监测蒸汽设备的相应方法。
    • 29. 发明授权
    • Pipeline leak location using ultrasonic flowmeters
    • 管道泄漏位置使用超声波流量计
    • US08850871B2
    • 2014-10-07
    • US12894619
    • 2010-09-30
    • Robert SchaeferDennis J. DiorioJames M. Doorhy
    • Robert SchaeferDennis J. DiorioJames M. Doorhy
    • G01M3/24G01M3/28
    • G01M3/243G01M3/2807
    • Fluid leaks are identified and located by successively monitoring changes in fluid flow and sound velocities of fluid at a plurality of locations in the pipe with flow meters, such as with ultrasonic flow meters. Preferably the successive monitoring sampling rates are sufficiently high to measure instantaneous velocity changes. A controller coupled to the meters associates changes in monitored fluid flow and sound velocities in two locations along the pipe with a leak event occurring between those locations. The controller identifies the association event at each location and correlates pipe leak location based at least in part on difference in time between the respective location events. The system and method may be used in liquid and gas pipeline transmission systems.
    • 通过连续地监测管道中具有流量计的多个位置处的流体的流体流动和声速的变化,例如用超声波流量计来识别和定位流体泄漏。 优选地,连续的监视采样速率足够高以测量瞬时速度变化。 耦合到仪表的控制器将沿着管道的两个位置的监测的流体流动和声速的变化相关联,并且在这些位置之间发生泄漏事件。 控制器识别每个位置处的关联事件,并且至少部分地基于相应位置事件之间的时间差来关联管道泄漏位置。 该系统和方法可用于液体和气体管道传输系统。