Bridge dynamic load safety online real-time monitoring analysis early warning management platform based on big data and cloud computing

A real-time monitoring and cloud computing technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve the problem of single load detection index, inability to achieve comprehensive safety detection of bridge dynamic loads, and low reliability of detection results and other problems, to achieve the effect of reducing the safety problems of bridge structures, improving the level of dynamic load detection, and improving the detection indicators.

Active Publication Date: 2021-06-01
HEBEI BAOLI ENG EQUIP GRP CO LTD
View PDF7 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the traditional bridge dynamic load detection methods only focus on the load-bearing load of the bridge, ignoring the influence of wind loads in the environment on the stability of the bridge structure, resulting in a single load detection index, which in turn leads to low reliability of the detection results and cannot realize bridge dynamic load. Comprehensive comprehensive safety inspection

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 dynamic load safety online real-time monitoring analysis early warning management platform based on big data and cloud computing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0037] refer to figure 1 As shown, an online real-time monitoring, analysis and early warning management platform for bridge dynamic load safety based on big data and cloud computing, including bridge deck area division module, area load-bearing load detection module, database, area load-bearing load dynamic risk coefficient statistics module, area The total bearing load statistics module, the regional wind parameter detection module, the regional wind load st...

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 dynamic load safety online real-time monitoring analysis early warning management platform based on big data and cloud computing. The platform comprises a bridge deck area division module, an area bearing load detection module, a database, an area bearing load dynamic danger coefficient statistics module, an area total bearing load statistics module, an area wind power parameter detection module, an area wind power load statistics module, a management cloud platform, an early warning module and a display terminal. According to the method, the bearing load and the wind load of the bridge are detected at each set time point, and the overall comprehensive load dynamic danger coefficient of the bridge is counted according to the detection result, so that the load detection index is perfected, the comprehensive safety detection of the dynamic load of the bridge is realized, and the defects of the traditional dynamic load detection of the bridge are overcome; and the reliability of a detection result is improved, and the safety problem of a bridge structure caused by the fact that bridge wind load detection is not carried out is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of bridge dynamic load monitoring, and in particular relates to a bridge dynamic load safety online real-time monitoring analysis early warning management platform based on big data and cloud computing. Background technique [0002] Bridge engineering is the basic component of my country's highway traffic network and plays an important role in my country's highway traffic system. Therefore, it is necessary to monitor the safety of bridge engineering to ensure the quality of highway bridge engineering. Among them, the load test is a very important bridge detection method, which has great practicability for the maintenance of the bridge. On the one hand, it can scientifically realize the design of the bearing capacity of the bridge; on the other hand, it can grasp the firmness of the bridge, for regular maintenance. Therefore, the load test is particularly important for the bridge inspection, which will direc...

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): G06F16/2458G06Q10/06G06Q50/08
CPCG06F16/2462G06F16/2477G06Q10/0635G06Q50/08Y04S10/50
Inventor 吕思宇张宁
Owner HEBEI BAOLI ENG EQUIP GRP CO LTD
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