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

Bridge disease big data analysis method

An analysis method and big data technology, applied in the direction of instruments, character and pattern recognition, geometric CAD, etc., can solve the problems of less effective information, lack of disease big data, and no maintenance plan and method planning to provide more scientific and reasonable suggestions. , to achieve the effect of reducing the occurrence of serious secondary diseases and delaying performance degradation

Pending Publication Date: 2020-06-19
NANJING ZHIXING INFORMATION TECH CO LTD +1
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Due to the lack of a systematic data mining method for disease big data, there is little effective information extracted through simple statistical analysis at this stage, and a large amount of bridge disease data has not been fully analyzed and mined, so that maintenance plans and methods The planning provides more scientific and reasonable suggestions

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
  • Bridge disease big data analysis method
  • Bridge disease big data analysis method
  • Bridge disease big data analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The following describes several preferred embodiments of the present invention with reference to the accompanying drawings, so as to make the technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned herein.

[0037] In the drawings, components with the same structure are denoted by the same numerals, and components with similar structures or functions are denoted by similar numerals. The size and thickness of each component shown in the drawings are shown arbitrarily, and the present invention does not limit the size and thickness of each component. In order to make the illustration clearer, the thickness of parts is appropriately exaggerated in some places in the drawings.

[0038] Such as figure 1 As shown, a preferred embodiment of a bridge disease big data analysis method of the present invention is ...

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 bridge disease big data analysis method, which relates to the field of bridge maintenance and comprises the steps of preprocessing bridge maintenance big data, screening characteristic data, analyzing trend characteristics, finding out parameter association, analyzing disease association, grading technical conditions and the like. According to the invention, statistical characteristics and trends of bridge diseases are quantitatively described; according to the method, the disease influence factors and the first-occurrence and second-occurrence incidence relation between diseases are found out and used for guiding, controlling and preventing bridge diseases, bridge structure performance degradation is delayed through preventive maintenance, maintenance and replacement projects with high cost consumption are reduced, and therefore the bridge service time is prolonged, and the maintenance expenditure is saved.

Description

technical field [0001] The invention relates to the field of bridge maintenance, in particular to a big data analysis method for bridge diseases. Background technique [0002] The classification of bridge regular inspection (regular inspection) is of great significance to ensure the health of bridges and traffic safety. It uses manual or bridge inspection vehicles to observe or take pictures of the detailed disease conditions of various components and parts of the bridge, so as to make health status judgments on the components of the bridge and the bridge as a whole based on the acquired disease inspection information, so as to facilitate bridge operation. maintenance personnel to carry out related bridge maintenance operations. After the bridge is completed, it enters the operation period. During the long maintenance process, a huge amount of various types of inspection, maintenance and repair data are generated. However, in the prior art, after obtaining the disease insp...

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
IPC IPC(8): G06F30/13G06F30/20G06K9/62
CPCG06F18/214G06F18/241
Inventor 洪卫星陈策李利军左永辉赵智勇
Owner NANJING ZHIXING INFORMATION TECH CO LTD
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