METHOD BASED ON CONSISTENCY OF DISTRIBUTION FEATURE OF CHECKING-VALIDATION DATA FOR ESTABLISHING HYDROLOGICAL PROCESS MODEL

    公开(公告)号:US20230195976A1

    公开(公告)日:2023-06-22

    申请号:US18082699

    申请日:2022-12-16

    CPC classification number: G06F30/27 G06F2113/08

    Abstract: The present disclosure provides a method based on consistency of a distribution feature of checking-validation data for establishing a hydrological model. The method includes: S1: proposing an idea of discrete checking of data for a hydrological process model according to S11-S12; S2: using an MDUPLEX method to allocate an original runoff data set D to a checking set C and a validation set E according to S21-S28; and S3: checking and validating the model according to S31-S32, determining a model parameter, and establishing the hydrological process model. The present disclosure guarantees consistency of performance of the hydrological process model during checking and validation periods by means of discrete sampling, so as to improve effectiveness of the hydrological process model and stability of engineering application.

    METHOD FOR DETECTING LEAKAGE OF WATER SUPPLY PIPE BASED ON GROUND-PENETRATING RADAR THREE-DIMENSIONAL IMAGE ATTRIBUTE ANALYSIS

    公开(公告)号:US20230154037A1

    公开(公告)日:2023-05-18

    申请号:US17042213

    申请日:2020-05-27

    Abstract: The present disclosure belongs to field of nondestructive testing and positioning of urban water supply pipe leakage in municipal engineering and discloses a method for detecting leakage of water supply pipe based on ground-penetrating radar three-dimensional image attribute analysis including: acquiring ground-penetrating radar original image data of water supply pipe by longitudinal scanning; de-noising and filtering acquired original image data; fitting processed image data into three-dimensional data body by interpolation, extracting multiple planar or stereo image attributes and displaying image attributes by longitudinal, transverse, horizontal, irregular profiles and iso-surface; and accurately identifying and positioning pipe leakage positions and scale by multi-attribute comprehensive analysis. In this disclosure, leakage position is accurately positioned; spectrum with rich information is obtained based on extracted frequency attributes, leakage position is further verified; and high-resolution imaging is performed on leakage features based on extracted amplitude attributes, and the scale of pipe leakage is determined.

    EFFICIENT METHOD FOR LOCALIZING LEAKS IN WATER SUPPLY PIPE NETWORK BASED ON VALVE OPERATIONS AND ONLINE WATER METERING

    公开(公告)号:US20210148782A1

    公开(公告)日:2021-05-20

    申请号:US17006925

    申请日:2020-08-31

    Abstract: The present disclosure belongs to the field of municipal engineering and urban water supply network, and provides an efficient method for localizing leaks in a districted metering area (DMA) of water supply pipe networks based on valve operations and online water metering, which is implemented in multiple stages to gradually reduce the leaking area. At each stage, the DMA is firstly decomposed into two sub-areas using an optimized valve operation strategy determined by a minimized objective function, wherein a graph theory-based method is used for the solution. Then the sub-areas containing leaks are identified through online water balance analysis based on smart demand meters, thereby reducing the leaking area. The minimum leaking area is identified with the least number of valve operations. Compared with the traditional methods, the method of the present disclosure can obviously improve the efficiency and accuracy of leak localization and is easy to implement.

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