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Earthquake magnitude prediction method, device and equipment, and readable storage medium

A technology of prediction method and prediction device, which is applied in the direction of surveying device, seismic measurement, nuclear method, etc., can solve the problems that it is difficult to cover multiple factors, long process, and low universality of empirical theory, so as to improve the accuracy of prediction, adjust The effect of less parameters and simple model structure

Pending Publication Date: 2021-09-21
CHINA RAILWAY ERYUAN ENG GRP CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the past few decades, people have studied a variety of numerical statistical methods, and summarized some earthquake magnitude calculation formulas through seismic waves, moment tensor inversion or waveform matching. However, the traditional formula derivation and Empirical theory, it is difficult to cover the influence of multiple factors, it takes a long time to process, the experiential theory is low in breadth, and the results cannot be obtained quickly and conveniently
and such methods usually require a lengthy process

Method used

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  • Earthquake magnitude prediction method, device and equipment, and readable storage medium
  • Earthquake magnitude prediction method, device and equipment, and readable storage medium
  • Earthquake magnitude prediction method, device and equipment, and readable storage medium

Examples

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Embodiment 1

[0058] This embodiment provides a method for predicting earthquake magnitude.

[0059] see figure 1 , the figure shows that the method includes step S100, step S200, step S300, step S400 and step S500.

[0060] S100. Acquire first information, where the first information includes at least one earthquake information, each earthquake information is data recorded by a seismic station, and each earthquake information includes historical magnitude index information and earthquake magnitude information;

[0061] It can be understood that this step is to obtain the basic data that can be used as the training of the earthquake magnitude prediction model. In order to realize the prediction of the earthquake magnitude more economically, accurately and efficiently, it is considered in this application that what the seismic station measures is the basic earthquake Parameters, which represent the physical parameters of the ground motion caused by the earthquake, including the epicentral d...

Embodiment 2

[0103] Such as Figure 7 As shown, the present embodiment provides an earthquake magnitude prediction device including:

[0104] The first information acquisition unit 1 is used to acquire the first information, the first information includes at least one earthquake information, each earthquake information is historical data recorded by a seismic station, and each earthquake information includes historical magnitude index information and earthquake magnitude information;

[0105] The second information acquisition unit 2 is configured to acquire second information, and the second information includes collected real-time magnitude prediction index information;

[0106] A predictive model building unit 3, configured to set up an earthquake magnitude prediction model based on a support vector machine according to the first information;

[0107] The earthquake magnitude prediction unit 5 is configured to use the second information as input information of the earthquake magnitude ...

Embodiment 3

[0122] Corresponding to the above method embodiment, this embodiment also provides an earthquake magnitude prediction device. The earthquake magnitude prediction device described below and the earthquake magnitude prediction method described above can be referred to in correspondence.

[0123] Figure 8 is a block diagram of an earthquake magnitude prediction device 800 according to an exemplary embodiment. Such as Figure 8 As shown, the earthquake magnitude prediction device 800 may include: a processor 801 and a memory 802 . The earthquake magnitude prediction device 800 may also include one or more of a multimedia component 803 , an input / output (I / O) interface 804 , and a communication component 805 .

[0124] Wherein, the processor 801 is used to control the overall operation of the earthquake magnitude prediction device 800, so as to complete all or part of the steps in the above earthquake magnitude prediction method. The memory 802 is used to store various types of...

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Abstract

The invention provides an earthquake magnitude prediction method, device and equipment, and a readable storage medium, and relates to the technical field of earthquake magnitude prediction. The earthquake magnitude is predicted by adopting a support vector machine principle. Comparing with previous earthquake magnitude prediction method, by using the method of the invention, the earthquake magnitude can be directly and quickly calculated by utilizing the earthquake wave data received by the seismic station at the first time without utilizing the precursor factors of the earthquake or utilizing a traditional formula for calculation after the earthquake, the model structure is simple, and the manually set and adjusted parameters are fewer.

Description

technical field [0001] The present invention relates to the technical field of earthquake magnitude prediction, in particular to an earthquake magnitude prediction method, device, equipment and readable storage medium. Background technique [0002] Earthquake magnitude is affected by multiple uncertain factors, resulting in an intricate nonlinear relationship between magnitude and related influencing factors. In the past few decades, people have studied a variety of numerical statistical methods, and summarized some earthquake magnitude calculation formulas through seismic waves, moment tensor inversion or waveform matching. However, the traditional formula derivation and Empirical theory, it is difficult to cover the influence of multiple factors, it takes a long time to process, the experiential theory is low in breadth, and the results cannot be obtained quickly and conveniently. And such methods usually require a lengthy process. Therefore, there is an urgent need for ...

Claims

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Application Information

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IPC IPC(8): G01V1/00G01V1/28G01V1/30G06N3/00G06N20/10
CPCG01V1/282G01V1/307G06N3/006G06N20/10G01V1/01Y02T10/40
Inventor 杨长卫谭信荣吴玉芬杨捷高柏松傅丽林
Owner CHINA RAILWAY ERYUAN ENG GRP CO LTD
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