Improved threshold exceeding extreme value estimation method and device, equipment and storage medium

A threshold and extreme value technology, applied in the field of structural wind engineering research, can solve problems such as difficulty in automatic threshold selection and unclear corresponding relationship

Pending Publication Date: 2022-04-01
HUNAN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In the prior art, in the beyond threshold (POT) extreme value estimation method, it is usually difficult to automatically select the threshold, and the corresponding relationship is not clear when compared with the block maximum extreme value method.

Method used

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  • Improved threshold exceeding extreme value estimation method and device, equipment and storage medium
  • Improved threshold exceeding extreme value estimation method and device, equipment and storage medium
  • Improved threshold exceeding extreme value estimation method and device, equipment and storage medium

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Embodiment 1

[0074] see Figure 1 to Figure 10 , the first embodiment of the present invention provides an improved extremum estimation method beyond a threshold, which can be performed by an extremum estimation device. In particular, it is executed by one or more processors in the extremum estimation device to realize steps S1, S4, S5, S6, and S7.

[0075] S1. Obtain the initial data of the wind pressure coefficient.

[0076] The extremum estimation device may be an electronic device with computing performance such as a portable notebook computer, a desktop computer, a server, a smart phone, or a tablet computer.

[0077] Such as figure 2 and image 3 As shown, the initial data is obtained by using the standard model of tall buildings (CAARC) to carry out the rigid model piezometric wind tunnel test. The full-scale dimensions of the building are 45.72m×30.48m×182.88m in length×width×height, and the scale ratio of the model is 1:400, corresponding to a model size of 114mm×76mm×457mm. ...

Embodiment 2

[0133] see Figure 14 , an embodiment of the present invention provides an improved device for estimating extreme values ​​beyond a threshold, which includes:

[0134] Initial module 1 is used to obtain the initial data of wind pressure coefficient.

[0135] The extraction module 4 is used to extract independent peak data according to the initial data.

[0136] The range module 5 is used to obtain the high-probability threshold range of the optimal threshold based on the independent peak data.

[0137] The threshold module 6 is used to obtain the optimal threshold from the high-probability threshold range according to the change point theory.

[0138] The extreme value module 7 is used to fit the generalized Pareto distribution according to the optimal threshold to obtain the extreme value of the wind pressure coefficient.

[0139] see Figure 15 , on the basis of the above embodiments, in an optional embodiment of the present invention, the extremum estimation device furt...

Embodiment 3

[0161] An embodiment of the present invention provides an improved threshold exceeding extreme value estimation device, which includes a processor, a memory, and a computer program stored in the memory. The computer program can be executed by the processor to realize the improved method for estimating the extreme beyond the threshold as described in the first embodiment.

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Abstract

The embodiment of the invention provides an improved beyond-threshold extreme value estimation method and device, equipment and a storage medium, and relates to the technical field of structural wind engineering research. The extreme value estimation method comprises the steps of S1, obtaining initial data of a wind pressure coefficient, S4, extracting independent peak value data according to the initial data, S5, obtaining a high probability threshold range of an optimal threshold value according to the independent peak value data, S6, obtaining the optimal threshold value from the high probability threshold range according to a change point theory, S7, fitting generalized Pareto distribution according to the optimal threshold value, and obtaining an extreme value of the wind pressure coefficient. Automatic selection of the optimal threshold value is achieved through the change point theory, small deviation can be obtained with few original samples, and the method has good practical significance.

Description

technical field [0001] The present invention relates to the technical field of structural wind engineering research, in particular to an improved method, device, device and storage medium for estimating extreme values ​​beyond a threshold. Background technique [0002] The extreme wind pressure coefficient is an important parameter to determine the design wind load of the envelope structure. The most commonly used method for estimating the extreme wind pressure coefficient is the block maximum extreme value method (Block Maximum, BM). The block maximum extreme value method uses the maximum peak of each block to fit the extreme value distribution, ignoring the second and third largest data in the block, resulting in low data usage, especially when there are fewer samples or data loss In the case of , it is difficult for this method to give accurate extreme value estimation. [0003] To overcome this deficiency, the Peak Over Threshold (POT) estimation method was introduced ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/13G06F17/10
Inventor 邱志洋李寿科毛丹刘敏
Owner HUNAN UNIV OF SCI & TECH
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