Check patentability & draft patents in minutes with Patsnap Eureka AI!

Bridge live load optimization identification system

A technology for identifying systems and bridges, applied in measurement devices, instruments, weighing, etc., can solve the problems of interruption of traffic during installation or maintenance, inability to realize multi-vehicle identification, poor durability, etc., to improve accuracy and reliability, The effect of avoiding vehicle misidentification and low cost

Active Publication Date: 2019-06-04
TONGJI UNIV
View PDF7 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Traditional bridge dynamic weighing systems use induction coils installed on the bridge pavement or traffic radar detection to obtain vehicle position information and lateral position, but these systems are costly, have poor durability, and need to interrupt traffic for installation or maintenance , not suitable for old bridges and existing bridges with heavy traffic
At the same time, the bridge weighing system based on bridge-mounted sensors usually cannot realize the identification of multiple vehicles crossing the bridge at the same time. multi-axle

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 live load optimization identification system
  • Bridge live load optimization identification system
  • Bridge live load optimization identification system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to make the technical means, creative features, goals and effects of the present invention easy to understand, the bridge live load optimization identification system of the present invention will be described in detail below in conjunction with the embodiments and accompanying drawings.

[0034]

[0035] figure 1 It is a structural block diagram of the bridge live load optimization identification system in the embodiment of the present invention.

[0036] like figure 1 As shown, the bridge live load optimization identification system 100 has a plurality of monitoring sensors 1 , at least one bridge traffic monitoring device 2 , a computing processing device 3 and a communication network 4 .

[0037] Wherein, the computing processing device 3 is respectively connected to the monitoring sensor 1 and the bridge traffic monitoring device 2 through the communication network 4 .

[0038] The monitoring sensor 1 is arranged on a predetermined section of the bridge,...

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 bridge live load optimization and identification system based on multi-source redundant information. The system is characterized in that the system comprises a number of dynamic strain gauges with different numbers for collecting dynamic strain data of a bridge structure, at least one bridge traffic monitoring device used for generating a vehicle monitoring video, and a calculating processing device used for performing calculation to acquire a live load of a bridge. The calculation processing device comprises a dynamic strain processing unit which processes the dynamicstrain data of the bridge structure to acquire the peak of a static component thereof, a video vehicle identification unit which identifies the vehicle monitoring video to acquire position information, a vehicle coordinate conversion unit which converts the position information to acquire the actual position coordinate of a vehicle, a vehicle weight calculation unit which calculates the weight ofthe vehicle according to the peak of the static component, the actual position coordinates and the impact surface of the bridge, and a vehicle weight statistics checking unit which is used to performstatistics on the vehicle weight so as to check the vehicle weight as the live load of the bridge.

Description

technical field [0001] The invention relates to the field of highway bridge safety monitoring, in particular to a bridge live load optimization identification system. Background technique [0002] Modern bridges are designed and built for traffic purposes. Therefore, obtaining traffic information such as weight, speed, quantity, type, and spatio-temporal distribution of vehicles driving on bridges is of great significance for the improvement of bridge structure design specifications, safety evaluation, and maintenance decisions. In view of this, a lot of research has been done on the identification of bridge traffic information at home and abroad. [0003] Traditional bridge dynamic weighing systems use induction coils installed on the bridge pavement or traffic radar detection to obtain vehicle position information and lateral position, but these systems are costly, have poor durability, and need to interrupt traffic for installation or maintenance , not applicable to old ...

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): G01G19/03
Inventor 夏烨黄洪葳程纬淡丹辉孙智吴彦陈林孙利民
Owner TONGJI UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More