INTELLIGENT ADAPTIVE SYSTEM AND METHOD FOR MONITORING LEAKAGE OF OIL PIPELINE NETWORKS BASED ON BIG DATA
    1.
    发明申请
    INTELLIGENT ADAPTIVE SYSTEM AND METHOD FOR MONITORING LEAKAGE OF OIL PIPELINE NETWORKS BASED ON BIG DATA 有权
    智能自适应系统和基于大数据的油管网络泄漏监测方法

    公开(公告)号:US20150308919A1

    公开(公告)日:2015-10-29

    申请号:US14692502

    申请日:2015-04-21

    CPC classification number: G01M3/2807 G01M3/243

    Abstract: 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.

    Abstract translation: 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。

    ELECTRIC GRID STATE ESTIMATION SYSTEM AND METHOD BASED ON BOUNDARY FUSION

    公开(公告)号:US20190293699A1

    公开(公告)日:2019-09-26

    申请号:US16120907

    申请日:2018-09-04

    Abstract: The invention provides an electric grid state estimation system and method based on a boundary fusion. The system includes an electric grid data acquisition module, a communication module including a local data unit and a state estimation unit, and a data fusion module, wherein the state estimation unit includes a memory storing a state estimation program and a display displaying a program running and outputting a state variable; the state estimation program is performed to realize an electric grid state estimation; the estimation method includes the following steps of dividing a regional electric grid, then establishing a measurement equation for each region, solving an internal quantity and a boundary quantity, fusing the boundary quantities of two regions, correcting the boundary quantity, performing a non-linear transformation on the intermediate variable, solving the estimated values of the state variable by the least square method, and performing outputting.

    INTELLIGENT INVERSION METHOD FOR PIPELINE DEFECTS BASED ON HETEROGENEOUS FIELD SIGNALS

    公开(公告)号:US20230341354A1

    公开(公告)日:2023-10-26

    申请号:US18028010

    申请日:2020-11-06

    CPC classification number: G01N27/83 G01B7/02

    Abstract: Provided is an intelligent inversion method for pipeline defects based on heterogeneous field signals. The method includes the following steps: firstly, acquiring heterogeneous field signals, performing an abnormality judgement, then correcting base values of the heterogeneous field signals, and performing denoising treatment; padding the denoised heterogeneous field signals corresponding to the pipeline defects, unifying the heterogeneous field signals of different sizes into the heterogeneous field signals of same sizes, and performing a nonlinear transformation on signal amplitudes; designing a sparse autoencoder with an axisymmetric structure, and obtaining primary characteristics of the heterogeneous field signals; classifying the pipeline defects according to lengths, widths and depths to obtain category labels of the pipeline defects; designing a multi-classification neural network to classify the heterogeneous field signals, and extracting deep characteristics containing defect size information; and constructing a random forest regression model to realize intelligent inversion for sizes of the pipeline defects.

    A Double Auxiliary Resonant Commutated Pole Three-Phase Soft-Switching Inverter Circuit and Modulation Method
    6.
    发明申请
    A Double Auxiliary Resonant Commutated Pole Three-Phase Soft-Switching Inverter Circuit and Modulation Method 有权
    双辅助谐振换向极三相软开关逆变电路及调制方法

    公开(公告)号:US20160329828A1

    公开(公告)日:2016-11-10

    申请号:US14903843

    申请日:2014-12-12

    Abstract: Provided are a double auxiliary resonant commutated pole three-phase soft-switching inverter circuit and a modulation method. The circuit includes a three-phase main inverter circuit and a three-phase double auxiliary resonant commutator circuit. An A-phase double auxiliary resonant commutator circuit, an A-phase main inverter circuit, a B-phase double auxiliary resonant commutator circuit, a B-phase main inverter circuit, a C-phase double auxiliary resonant commutator circuit and a C-phase main inverter circuit are connected in parallel in sequence and simultaneously connected with a DC power supply in parallel. The present invention can achieve the separation of the resonant current of the double auxiliary resonant commutator circuit from the load current at the moment of current commutation, thereby effectively reducing the current stress of the auxiliary switching tubes and the efficiency can be greatly increased particularly under light load condition.

    Abstract translation: 提供双辅助谐振换向极三相软开关逆变电路及调制方法。 该电路包括三相主逆变器电路和三相双辅助谐振换向器电路。 A相双辅助谐振换向器电路,A相主逆变器电路,B相双辅助谐振换向器电路,B相主逆变器电路,C相双辅助谐振换向器电路和C相 主逆变电路并联连接并联并联直流电源。 本发明可以实现双电源辅助谐振换向器电路的谐振电流与电流换向时的负载电流的分离,从而有效地减小辅助开关管的电流应力,特别是在光照下可以大大提高效率 负载条件。

    Energy Router for Energy Internet
    7.
    发明申请
    Energy Router for Energy Internet 有权
    能源互联网能源路由器

    公开(公告)号:US20160241137A1

    公开(公告)日:2016-08-18

    申请号:US14717823

    申请日:2015-05-20

    Abstract: The present invention relates to an energy router for an energy internet, which comprises a three-phase three-level bi-directional rectifying unit, a six-phase interleaved DC/DC bi-directional conversion unit, a self-excitation soft start push-pull full-bridge DC/DC bi-directional conversion unit, a three-phase resonant soft switching bi-directional inversion unit, a single-phase full-bridge bi-directional inversion unit, a high-voltage DC bus and a low-voltage DC bus. The three-phase three-level bi-directional rectifying unit, the six-phase interleaved DC/DC bi-directional conversion unit, the self-excitation soft start push-pull full-bridge DC/DC bi-directional conversion unit, the three-phase resonant soft switching bi-directional inversion unit and the single-phase full-bridge bi-directional inversion unit each have three energy flow operating modes: a forward conduction, a reverse conduction and a non-conduction. According to the energy flow operating mode of each unit, different operating modes of the energy router for the energy internet are formed.

    Abstract translation: 本发明涉及一种用于能量互联网的能量路由器,其包括三相三电平双向整流单元,六相交错DC / DC双向转换单元,自激软启动推挽单元, 拉全桥DC / DC双向转换单元,三相谐振软开关双向反相单元,单相全桥双向反转单元,高压直流母线和低压 直流母线 三相三电平双向整流单元,六相交错DC / DC双向转换单元,自励软启动推挽全桥直流/直流双向转换单元,三相 相位共振软开关双向反转单元和单相全桥双向反相单元各具有三种能量流动工作模式:正向传导,反向传导和非导通。 根据每个单元的能量流动模式,形成能量互联网能量路由器的不同运行模式。

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