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Design wind speed valuing method and system based on short-term wind measurement data

A technology of wind speed and data, applied in the field of engineering wind-resistant structure design

Active Publication Date: 2020-11-10
CEEC JIANGSU ELECTRIC POWER DESIGN INST
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Problems solved by technology

[0003] The present invention provides a design wind speed value method and system based on short-term wind measurement data, which solves the problems disclosed in the background technology

Method used

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  • Design wind speed valuing method and system based on short-term wind measurement data
  • Design wind speed valuing method and system based on short-term wind measurement data
  • Design wind speed valuing method and system based on short-term wind measurement data

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example 1

[0074] In order to avoid the influence of observation environment changes on the wind speed observation results and to ensure that the short-term data have good representativeness, the daily 10-min average maximum wind speed for two years from July 1, 2009 to June 30, 2011 at an island meteorological station in Jiangsu Based on observational data such as figure 2 Shown, after statistical analysis the mean Standard deviation S=3.10, calculate the threshold u 0 = 11.6.

[0075] Considering that there may be a strong correlation between continuous wind speed samples, the daily 10-min average maximum wind speed data of 4 days is regarded as a cycle, and the maximum value of each cycle is selected, and the distance between adjacent maximum values ​​cannot be less than half a cycle , get the super-threshold average wind speed sequence {X|X>u 0}, the number of samples n=160, and the average number of samples per month λ=6.67.

[0076] Fitting {X|X>u by generalized Pareto distri...

example 2

[0085] In order to further illustrate the applicability of the above method, 13 major national basic meteorological stations in Jiangsu were selected for comparative analysis of short-term data and long-term data calculation results to verify the reliability of the above method for short-term data design wind speed calculation results. The short-term data all use the daily maximum 10-min average wind speed data from each weather station for two years from July 1, 2009 to June 30, 2011. Considering that the short-term data are obtained by self-recording instruments, in order to ensure comparability, the long-term data are also selected from self-recording data, and the design wind speed is calculated using the Gumbel frequency distribution model recommended by the regulations. The Gumbel frequency distribution model is a prior art and will not be described in detail here.

[0086] The design wind speed calculation results of long-term and short-term data of each weather station...

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Abstract

The invention discloses a design wind speed valuing method based on short-term wind measurement data, and the method comprises the steps: obtaining hourly average wind speed for many years, and calculating an average wind speed threshold value; selecting the average wind speed exceeding the average wind speed threshold, and constructing an average wind speed sequence exceeding the threshold; adopting a generalized Pareto distribution model to fit a super-threshold average wind speed sequence, and calculating the design wind speed of the recurrence period. The invention further discloses a corresponding system. A statistical method is adopted to solve the problem of design wind speed valuing when the wind measurement data is insufficient in age limit, and support is provided for engineeringstructure wind resistance design in regions with wind measurement data shortage.

Description

technical field [0001] The invention relates to a design wind speed acquisition method and system based on short-term wind measurement data, belonging to the field of engineering wind-resistant structure design. Background technique [0002] In the wind resistance system of engineering structures, the assessment of wind resistance failure risk is extremely important, and the analysis and calculation of design wind speed has a decisive influence. Existing methods for determining design wind speed mainly use the Gumbel frequency distribution model (extreme I type) and P-III type frequency distribution model. Meet the requirements of structural wind resistance design. However, many engineering construction areas are far away from long-term meteorological stations, and do not have the maximum 10-min average wind speed sequence for 25 years as required by regulations, which leads to great difficulties in calculating wind speed for engineering design in areas where wind measureme...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F30/13G06Q10/04
CPCG06F30/20G06F30/13G06Q10/04
Inventor 王晓惠潘晓春张洋巫黎明程春龙石军沈旭伟
Owner CEEC JIANGSU ELECTRIC POWER DESIGN INST
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