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Regional geological structure evolution method and device based on cellular automaton

A cellular automaton and geological structure technology, applied in random CAD, computer parts, design optimization/simulation, etc., can solve problems such as poor process accuracy and inability to accurately evolve regional geological disasters, and achieve improved accuracy and accuracy Improve and improve the effect of correct rate

Active Publication Date: 2022-06-28
CHINA UNIV OF GEOSCIENCES (BEIJING)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the prior art, cellular automata are generally used as models for simulating urban evolution. However, due to the difference between geological data and urban data, when geological data is directly used as the input source of cellular automata for regional geological disaster evolution, the evolution process accuracy Poor, resulting in no manufacturers on the market using cellular automata for geological disaster evolution
[0004] Therefore, there is an urgent need to establish a regional geological structure evolution strategy in the market to solve the technical problem that existing technologies cannot accurately evolve regional geological hazards

Method used

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  • Regional geological structure evolution method and device based on cellular automaton
  • Regional geological structure evolution method and device based on cellular automaton
  • Regional geological structure evolution method and device based on cellular automaton

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Embodiment 1

[0082] Please refer to figure 1 , which is a cellular automata-based regional geological structure evolution method provided by the embodiment of the present invention, the steps of which include:

[0083] Step S11: Obtain a remote sensing image of the target area, perform feature recognition on the remote sensing image, identify and obtain objects in the remote sensing image and mark them as feature points.

[0084] Specifically, determine the area where the user needs to perform geological structural evolution, that is, the target area, and obtain satellite remote sensing images of the area, wherein the remote sensing images contain various objects, such as vegetation, hills, buildings and other objects. Perform feature recognition on the remote sensing image, and mark the object as a feature point after completing the recognition of the object in the remote sensing image. By identifying the objects in the remote sensing image of the target area and obtaining their marked f...

Embodiment 2

[0137] Correspondingly, please refer to figure 2 , which is a cellular automata-based regional geological structure evolution device provided by the embodiment of the present invention, including: a feature identification module 21, a coordinate determination module 22, a first influence factor module 23, a cellular determination module 24, a second influence factor module 25 and evolution module 26;

[0138] The feature recognition module 21 is used to obtain the remote sensing image of the target area, perform feature recognition on the remote sensing image, identify the object in the remote sensing image and mark it as a feature point;

[0139] The coordinate determination module 22 is used for establishing a spatial coordinate model, and according to the distance between each marked feature point in the remote sensing image, the coordinate position of the feature point in the spatial coordinate model is determined;

[0140] The first impact factor module 23 is used to ac...

Embodiment 3

[0180] An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; wherein, the computer program controls a device where the computer-readable storage medium is located to execute the above-mentioned operation when running. A cellular automata-based regional geological structure evolution method according to any one of the embodiments.

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Abstract

The invention discloses a cellular automaton-based regional geologic structure evolution method and device, and aims at obtaining a remote sensing image of a target region, identifying an object in the remote sensing image and marking the object as a feature point, establishing a space coordinate model, and determining the coordinate position of the feature point. Acquiring climatic environment data and human planning activities of the target area and taking the climatic environment data and the human planning activities as first influence factors, inputting the first influence factors into the cellular automaton model, determining seed cells and organization cells according to coordinate positions of the feature points, acquiring historical disaster data of the target area and taking the historical disaster data as second influence factors, and inputting the second influence factors into the cellular automaton model; and inputting the second influence factor into the cellular automaton model, and controlling the seed cells and the organization cells to evolve in a preset time period to obtain a geological evolution result of the target area. According to the embodiment of the invention, the geological structure evolution result of the target area can be quickly and accurately obtained.

Description

technical field [0001] The invention relates to the technical field of geological big data, in particular to a method and device for regional geological structure evolution based on cellular automata. Background technique [0002] At present, the research on geological disasters is relatively in-depth. Researchers obtain various geological data on the spot, input the geological data into the spatial model, and then carry out the evolution of the geological structure. Early warning of dangers, as well as necessary data support for other scientific research activities. [0003] The cellular automata (CA) model is the mainstream model in the inversion of urban land use change simulation research in recent years. Cellular automata is a grid dynamics model in which time, space and state are discrete, and space interaction and time causality are localized, and it has the ability to simulate the space-time evolution of complex systems. In the prior art, cellular automata are gene...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06T17/05G06V20/10G06Q10/04G06Q50/26G08B21/10G06F111/08
CPCG06F30/20G06T17/05G06Q10/04G06Q50/265G08B21/10G06F2111/08Y02A90/10
Inventor 丁晨史戌冬
Owner CHINA UNIV OF GEOSCIENCES (BEIJING)
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