Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method for evaluating the resilience of mountainous buildings based on big data

An evaluation method and big data technology, applied in data processing applications, geographic information databases, structured data retrieval, etc., can solve problems such as failure to realize early warning management of building disasters

Active Publication Date: 2021-10-08
CHONGQING UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This traditional assessment method is only suitable for post-event assessment and cannot realize early warning management of building disasters

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
  • A method for evaluating the resilience of mountainous buildings based on big data
  • A method for evaluating the resilience of mountainous buildings based on big data
  • A method for evaluating the resilience of mountainous buildings based on big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0071] Example: see figure 1 , a method for evaluating the resilience of mountain buildings based on big data, including the following steps:

[0072] (1) Collect regional topographic and geological maps of the area to be studied, and establish a digital elevation model of the area to be studied in the geographic information system software (GIS);

[0073] (2) Collect the distribution map of buildings in the area to be studied, and carry out three-dimensional modeling of the buildings in the area to be studied on the basis of the established digital elevation model in the geographic information system software;

[0074] (3) Divide the area to be studied into several evaluation units. For each evaluation unit, extract the resilience influencing factors that consider the influence of architectural environmental factors, and then extract the resilience influencing factors that consider the influence of the building itself, as each evaluation unit. The impact factor of resistance...

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 discloses a method for evaluating the toughness of mountainous buildings based on big data, which is characterized in that the toughness influencing factors of buildings are extracted and normalized; and then the resistance performance index of buildings is established according to the "Building Hazard Appraisal Standards" Calculation method: select a certain number of buildings in the research area as training samples, use intelligent algorithms to train the training samples, and obtain the weights of various influencing factors on the resistance performance index of building degradation and damage; use the weights Calculate and obtain the resistance performance index of non-sample buildings in the area to be studied, and use it to evaluate the building toughness of buildings in the area to be studied. The invention can conveniently and quickly realize the toughness evaluation of buildings, has high evaluation accuracy and evaluation efficiency, can carry out early warning of mountain building disasters, and provides reference information for the design of building reinforcement and repair schemes.

Description

technical field [0001] The invention relates to the field of research on the anti-risk situation of civil engineering buildings; in particular, it relates to a method for evaluating the toughness of mountain buildings based on big data. Background technique [0002] my country is a large mountainous country with an area of ​​about 6.66 million square kilometers, accounting for about 69% of the land area. The population in mountainous areas accounts for more than half of the country's total population. Among the more than 600 cities in my country, more than 300 are mountainous cities; among the more than 2,300 county-level administrative units, more than 1,500 are mountainous counties (cities, districts); among the more than 19,000 official towns, nearly 10,000 are mountainous towns . Therefore, the urbanization of China in the future will focus on the urbanization of mountainous areas, and the urbanization of mountainous areas will be the top priority of China's urbanization...

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 Patents(China)
IPC IPC(8): G06Q10/06G06F16/29G06Q50/08
CPCG06Q10/0635G06Q50/08
Inventor 文海家谢朋谢祺泷胡晶吴曙光
Owner CHONGQING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com