Monitoring data processing method for earthquake prediction, earthquake prediction method and system

A technology for monitoring data and earthquake monitoring, applied in seismic survey, seismology, geophysical survey, etc., can solve the problem of unexplored earthquake prediction methods and methods, and achieve the effect of real-time update

Active Publication Date: 2018-12-25
PEKING UNIV SHENZHEN GRADUATE SCHOOL
View PDF3 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above-mentioned methods are basically based on indirect speculation based on experience, and cannot achieve more accurate and effective short-term forecasts of earthquake disasters like weather forecasts.
Therefore, a clear approach and method for earthquake prediction has not yet been explored. Earthquake prediction has a long way to go. Earthquake prediction is still a major scientific problem that has not yet been resolved.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Monitoring data processing method for earthquake prediction, earthquake prediction method and system
  • Monitoring data processing method for earthquake prediction, earthquake prediction method and system
  • Monitoring data processing method for earthquake prediction, earthquake prediction method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] Please refer to figure 1 , is a structural schematic diagram of an earthquake prediction system in an embodiment, the earthquake prediction system includes an earthquake monitoring network 10 , a data processing center 20 and an earthquake prediction unit 30 . The seismic monitoring network 10 is used to obtain multi-component monitoring data at different times at the seismic monitoring points in the pre-monitoring area, and sends the multi-component monitoring data to the data processing center 20. Activity-induced changes in the characteristics of the physical and chemical fields are associated. The data processing center 20 receives the multi-component monitoring data sent by the seismic monitoring network 10, extracts the features of the multi-component monitoring data, inputs the features of the multi-component monitoring data into the tree model, and outputs the predicted earthquake risk index. The earthquake prediction unit 30 receives the earthquake risk index ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

A monitoring data processing method for earthquake prediction, an earthquake prediction method and a system, relates to the field of disaster early warning. By arranging earthquake monitoring points in a pre-monitoring area, various physical quantities and chemical quantities of the earthquake monitoring points are monitored, and multi-component monitoring data is acquired. The multi-component monitoring data is associated with change characteristics of physical and chemical fields at the earthquake monitoring points caused by underground activities. The multi-component monitoring data is processed to obtain characteristic changes of the multi-component monitoring data. The characteristic changes are then input into a tree model, and an earthquake risk index of the earthquake monitoring point or the pre-monitoring area is output. The multi-component monitoring data of the earthquake monitoring points in the pre-monitoring area is processed by innovative proposing the tree model application, so that all-weather monitoring and real-time updating of the data of the earthquake is realized, and early warning can be timely issued on the danger of earthquake occurrence by analyzing the data.

Description

technical field [0001] The invention relates to the field of disaster early warning, in particular to a monitoring data processing method for earthquake prediction, an earthquake prediction method and a system. Background technique [0002] Earthquake prediction is the ability to accurately predict the location, time, and magnitude of an earthquake before an earthquake occurs, that is, the three elements of an earthquake. This can greatly avoid the casualties caused by the occurrence of a large earthquake in unknown circumstances. The research on earthquake prediction has always been focus on. Seismic experts at home and abroad study the geological structure, crustal movement, etc. and expect to discover the mechanism of earthquakes. With the help of the development of information science, they develop observation instruments and establish disciplines for seismology, crustal deformation, electromagnetics, subsurface fluids, and auxiliary observations. and observation system...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/00G08B21/10
CPCG01V1/008G08B21/10
Inventor 冯远豪王新安雍珊珊张兴黄继攀马滨延何春舅王培
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products