Seismic event time and space gathering mode extraction method based on shared density

An extraction method and spatiotemporal technology, which is applied in the field of spatial-temporal aggregation pattern extraction of seismic events based on shared density, can solve the problems of difficulty in identifying clusters of different densities, and it is difficult to distinguish adjacent clusters, so as to achieve robust noise points and high operating efficiency. Effect

Inactive Publication Date: 2014-06-18
CENT SOUTH UNIV
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the space-time density-based method inevitably inherits the limitations of the traditional density-based method, that is, the global threshold setting is difficult to identify clusters with different densities, and it is difficult to distinguish adjacent clusters.
In summary, there is still a lack of an efficient method for extracting spatio-temporal aggregation patterns of seismic events with different densities and shapes.

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
  • Seismic event time and space gathering mode extraction method based on shared density
  • Seismic event time and space gathering mode extraction method based on shared density
  • Seismic event time and space gathering mode extraction method based on shared density

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] Embodiment 1: In the experimental verification of the present invention,

[0060] 1) The specific implementation steps are shown in Table 1 below:

[0061] Table 1

[0062]

[0063] 2) Example results of simulated data implementation:

[0064] Figure 5 Two sets of simulated data are shown in the STD 1 and STD 2 , respectively as Figure 5 shown in a and b. STD 1 A total of 951 spatio-temporal entities are included, and three spatio-temporal clusters that are adjacent to each other, have different densities and approximate Gaussian distribution are preset, and noise accounts for 15% of the total number of entities. STD 2 It is a more complex set of spatio-temporal data, which contains 5 spatio-temporal clusters with complex shapes, different densities, different sizes and adjacent to each other. Noise accounts for 12% of the total data volume. The spatial-temporal aggregation patterns extracted by the method of the present invention are as follows: Image 6...

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

The invention relates to a seismic event time and space gathering mode extraction method based on shared density. According to the method, time and space shared neighboring seismic events are recognized according to time and space window k neighboring relationships, time and space shared density is estimated according to the time and space shared neighboring relationship, and finally, according to the time and space shared neighboring relationship, high-density seismic events are gathered into clusters. The method has the advantages that a user does not need to set the number and the form of time and space gathering modes of the seismic events, the time and space gathering modes of the seismic events with different densities can be extracted at the same time, the dynamic evolution rule of the seismic events can be found from the space and time coupling view angle, and the time and space gathering modes of the seismic events can be visually represented.

Description

technical field [0001] The invention belongs to the field of spatio-temporal data mining, and relates to a method for extracting spatio-temporal aggregation patterns of seismic events based on shared density. Background technique [0002] Earthquake event is a major natural disaster that affects the social and economic development of human beings and the safety of life and property. It is an important way to reduce the impact of earthquake disasters by analyzing and monitoring the law and mechanism of earthquake outbreaks based on the ground observation data of earthquake events. At present, with the improvement of observation methods, a large amount of seismic event monitoring data has been accumulated, and the accuracy and timeliness of seismic event observation have been greatly improved. The extraction of temporal and spatial aggregation patterns of seismic events is an important content in the analysis of seismic events, and has become an important means to study the d...

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): G01V1/30
Inventor 邓敏刘启亮杨文涛唐建波刘慧敏石岩
Owner CENT SOUTH UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap