Hydrological flow fluctuation situation recognition method and system

A hydrological flow, automatic identification technology, applied in the direction of instrument, calculation, electrical and digital data processing, etc., to achieve the effect of simple and clear results, important popularization and use value, and easy to implement.

Inactive Publication Date: 2016-08-31
WUHAN UNIV
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Problems solved by technology

Most of the existing methods focus on describing the quantitative fluctuation of the time series process through the difference value, and rarely involve the morphological fluctuation of the time series process

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  • Hydrological flow fluctuation situation recognition method and system

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Embodiment Construction

[0041] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be introduced below in conjunction with the embodiments of the present invention and the accompanying drawings.

[0042] The embodiment of the present invention comprises the following steps, and computer software technology can be used to realize automatic operation during specific implementation:

[0043] Step 1. Analyzing hydrographs

[0044] The hydrological flow process line is obtained in the Cartesian coordinate system according to the process of the hydrological flow rate, with the time t as the abscissa and the hydrological flow rate q as the ordinate; the analysis process includes analyzing the hydrological flow process line as being composed of several points connected , assuming that there are a total of N points, they are respectively used as control points and numbered from left to r...

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Abstract

Provided are a recognition method and system for the fluctuation situation of hydrologic flow. The method comprises following steps: analyzing a hydrologic flow process line to be connection of multiple points and calculating discrete value of hydrologic flow; calculating change rate of hydrologic flow, determining extremums of hydrologic flow and generating the extremum sequence of hydrologic flow; calculating change rate of the extremums of hydrologic flow, rotation angles of the extremums and the rotation angle of the extremum sequence of hydrologic flow; and determining the fluctuation situation value of hydrologic flow in order to obtain a fluctuation degree analysis result of hydrologic flow, wherein larger the fluctuation situation value is, more severe the fluctuation degree of hydrologic flow is. The recognition method and system for fluctuation situation of hydrologic flow have following beneficial effects: a novel technical scheme is provided for quantitative analysis of the fluctuation situation of hydrologic flow, which is beneficial for analyses of fluctuation degree of hydrologic flow; and decision support is given to reservoir regulation so that great importance is attached to development and utilization of water resources.

Description

technical field [0001] The invention belongs to the field of hydrological analysis, in particular to a method and system for identifying hydrological flow fluctuation situations. Background technique [0002] The research on hydrological flow fluctuation is mainly used for the analysis of natural river hydrological situation and river hydrological situation under different human intervention conditions, and then provides decision support for reservoir dispatching with the goals of flood control, power generation, and ecology. Improving the accuracy of hydrological flow fluctuation situation identification is of great significance for strengthening flood control safety and scientifically and efficiently utilizing water resources. Hydrological flow is a time series process. At present, domestic and foreign research methods on the volatility of time series are mainly identified from the amplitude, standard deviation, and rate of change of the time series. Most of the existing...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 王现勋梅亚东李伟楠孔艳君杨璐蔡昊贲月
Owner WUHAN UNIV
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