Earthquake destructive power prediction device and method based on recurrent neural network

A technology of cyclic neural network and prediction device, which is applied in the direction of measuring device, seismology, geophysical measurement, etc., can solve the problems of high efficiency, not satisfying real-time emergency, low efficiency, etc., and achieve the effect of accurate evaluation

Active Publication Date: 2020-02-11
TSINGHUA UNIV
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Problems solved by technology

At present, there are two main ways to obtain earthquake destructive power: one is through field investigation or nonlinear time history analysis, which is accurate but inefficient and does not meet the real-time requirements of emergency; the other is through vulnerability analysis. Analysis, high efficiency but insufficient accuracy and universality

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  • Earthquake destructive power prediction device and method based on recurrent neural network
  • Earthquake destructive power prediction device and method based on recurrent neural network
  • Earthquake destructive power prediction device and method based on recurrent neural network

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Embodiment Construction

[0047] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0048] The device and method for predicting earthquake destructive force based on cyclic neural network according to the embodiments of the present invention will be described below with reference to the accompanying drawings.

[0049] First, a device for predicting earthquake destructive force based on a cyclic neural network according to an embodiment of the present invention will be described with reference to the accompanying drawings.

[0050] figure 1 It is a structural schematic diagram of a device for predicting earthqua...

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Abstract

The invention discloses an earthquake destructive power prediction device and method based on a recurrent neural network. The device comprises a sensing module for obtaining information of a target object, a calculation and analysis module for providing resource (calculation power) support for analysis, a communication module for providing information transmission capability, and a display modulefor providing a result display platform. The sensing module is used to obtain seismic data of the target object; the calculation and analysis module is used to read and preprocess the seismic data; aneural network prediction model analyzes the preprocessed seismic data to generate an earthquake destructive power prediction result; the communication module sends the earthquake destructive power prediction result to a preset receiving end; and the display module carries out visual conversion on the earthquake destructive power prediction result, and displays the result by means of an electronicdisplay screen. Thus, destruction condition of the target object when confronting with the earthquake can be predicted accurately in real time, and the device and method have great significance in evacuation organization, earthquake early warning and the like.

Description

technical field [0001] The invention relates to the field of civil structural engineering and the technical field of disaster prevention and reduction, in particular to a device and method for predicting earthquake destructive force based on a cyclic neural network. Background technique [0002] Earthquake disaster is an important security threat faced by buildings and one of the most serious casualties among various natural disasters. It is a factor that must be considered in building design and organizing personnel evacuation. When an earthquake disaster comes, it is of great significance to accurately and timely understand the earthquake damage suffered by the target area for organizing personnel evacuation and rescue and disaster relief. At present, there are two main ways to obtain earthquake destructive power: one is through field investigation or nonlinear time-history analysis, which is accurate but inefficient, and does not meet the real-time requirements of emergen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
CPCG01V1/307G01V2210/63
Inventor 陆新征徐永嘉程庆乐
Owner TSINGHUA UNIV
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