Graded flood early warning method based on cesium model

A flood and model technology, applied in the field of flood classification early warning based on the cesium model, can solve the problems of inability to provide some guidance for immediate decision-making, lack of visualization and interactive modules, etc., to improve the effectiveness of early warning, change the state of flooding, and curb floods. diffuse effect

Pending Publication Date: 2022-05-17
四川岷江港航电开发有限责任公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage lies in the lack of relatively complete visualization and interactive modules, which cannot provide some guidance for decision makers in real-time decision-making

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
  • Graded flood early warning method based on cesium model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] The technical solutions of the present invention are further described below, but the claimed scope is not limited to the description.

[0054] like figure 1 As shown, the present invention provides a flood classification early warning method based on the cesium model, comprising the following steps:

[0055] Step 1: Collect the basic features and topographic features of buildings around the target river, and establish a simulated scene model in cesium software according to the basic features and topographic features of the buildings;

[0056] Step 2: According to the center line of the target river, the ridge lines on both sides of the river, the DEM data of the area corresponding to the river, and the display range of the three-dimensional scene, the actual range of the river and the flow function of the river are calculated respectively;

[0057] Additionally, step 2 includes the following steps:

[0058] Step 2.1: Import the center line of the target river in the ...

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 provides a flood grading early warning method based on a cesium model. The flood grading early warning method comprises the following steps: establishing a simulation scene model in cesium software; calculating to obtain an actual river range and a flow function of the river; calculating to obtain the position of a connection section required for constructing the river surface; calculating to obtain a coordinate-based water level elevation of each section point position at a fixed moment by using a flood routing model; performing limited triangle division on the connection section to form a three-dimensional grid curved surface; simulating the time and the flow direction of the flood by using a dynamic texture mapping method; flood drawing; and performing graded early warning on the building. By adopting the technical scheme of the invention, the flood is efficiently and accurately simulated through a computer, the semi-Lagrange implicit integral method is applied, the volume conservation and momentum conservation laws are introduced, and the adaptive grid surface subdivision technology and the texture tiling technology are introduced, so that the flood disaster assessment and early warning model is constructed, and the flood disaster assessment and early warning efficiency is improved. The method is of great significance in restraining flood spreading and protecting important buildings.

Description

technical field [0001] The invention belongs to the technical field of flood scene simulation, and in particular relates to a flood classification early warning method based on a cesium model. Background technique [0002] Flood is a natural phenomenon in which the hydrological environment such as rivers, lakes, and oceans rise above the normal water level. Flood disasters in my country are both universal and regional in space; in time, they show disordered instability, and orderly rhythm and periodicity. A large number of studies have shown that flood disasters have complex characteristics such as inhomogeneity and difference, diversity, randomness and predictability, mutation and regularity. It is of great significance to the research and simulation of floods. A mature and complete simulation system can provide flood warnings to ordinary people, improve their awareness of flood prevention, and can also provide a reliable reference for decision makers to make decisions, wh...

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): G08B31/00G08B21/10G06F30/23G06F30/27G06T17/20G06F111/10G06F111/04G06F113/08G06F119/14
CPCG08B31/00G08B21/10G06F30/23G06F30/27G06T17/20G06F2111/10G06F2111/04G06F2113/08G06F2119/14
Inventor 贺晓春吕刚徐乐毅杜双全郑春王彦虎张平黄彬廖周洋陈明春陈水兵周有宝杨洋
Owner 四川岷江港航电开发有限责任公司
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