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Artificial intelligence earthquake judgment method and earthquake detection system

A seismic and non-seismic technology, applied in the direction of seismic signal processing, etc., can solve the problems of increasing the difficulty and high cost of the construction and maintenance of seismic detection stations

Inactive Publication Date: 2015-11-25
许丁友
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  • Abstract
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  • Claims
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Problems solved by technology

However, the above method is not only costly, but also increases the difficulty of building and maintaining earthquake detection stations

Method used

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  • Artificial intelligence earthquake judgment method and earthquake detection system
  • Artificial intelligence earthquake judgment method and earthquake detection system
  • Artificial intelligence earthquake judgment method and earthquake detection system

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Embodiment Construction

[0021] Please refer to figure 1 , figure 1 It is a schematic diagram of an earthquake detection system 10 according to an embodiment of the present invention. like figure 1 As shown, the earthquake detection system 10 includes an earthquake detection module 102 , a calculation module 104 and an earthquake judgment module 106 . Earthquake detection module 102 can be used for multiple earthquake data Q 1 ~Q l In , extract at least one first-arrival feature associated with each seismic data. The characteristics of the initial wave can be any physical quantity related to the initial wave, such as velocity, acceleration or displacement, etc. The purpose is to realize early warning before the arrival of the main shock wave through the characteristics of the initial wave. In one embodiment, the characteristics of the first arrival wave include the cumulative absolute velocity (CumulativeAbsoluteVelocity, CAV), the integral of the absolute velocity (IntegralofAbsoluteVelocity, IA...

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Abstract

The invention discloses an earthquake detection system, and an earthquake judgment method used for the earthquake detection system. The method comprises: extracting at least one primary wave characteristic relevant to each piece of earthquake data from a plurality of pieces of earthquake data; utilizing a support vector classification (SVC) method to establish an earthquake judgment model according to the at least one primary wave characteristic; and determining whether a new piece of earthquake data belongs to an earthquake event or a non earthquake event according to the earthquake judgment model when receiving the new piece of earthquake data. The method can improve the accuracy of an on-site earthquake warning system, and furthermore improve earthquake warning effects.

Description

technical field [0001] The present invention relates to an earthquake judgment method and an earthquake detection system, in particular to an earthquake judgment method and its related earthquake detection which can judge whether the received seismic data belongs to an earthquake event or a non-seismic event according to the characteristics of the first arrival wave of the earthquake system. Background technique [0002] In recent years, due to the advancement of technologies such as seismology, digital communication, automatic processing and algorithms, the development of Earthquake Early Warning (EEW) technology has gradually matured. According to the different seismic information used, early earthquake early warning technology can be classified into the following two ways: regional warning (regional warning) and on-site warning (on-site warning). Generally speaking, since the regional earthquake early warning system can simultaneously refer to the information of several ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28
Inventor 许丁友吴日腾吴旭昱林沛旸黄谢恭江宏伟卢恭君张国镇
Owner 许丁友
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