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

Long-span bridge vehicle dynamic load distribution detection method

A dynamic load and distribution detection technology, which is applied in image analysis, image data processing, instruments, etc., can solve the problems of heavy workload in arranging and maintaining equipment, harsh environment, and a large number of sensors

Active Publication Date: 2014-02-19
CHANGAN UNIV
View PDF3 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the long-span bridge has the characteristics of complex structure, large span, and harsh environment, it brings many disadvantages to the dynamic load distribution detection of bridge vehicles, such as the number of sensors required is large, the cost is high, and the interference signal is easy to cause damage to the sensors. Influence, wiring is easy to be confused, the workload of arranging and maintaining equipment is relatively large, and the real-time performance is poor, etc.

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
  • Long-span bridge vehicle dynamic load distribution detection method
  • Long-span bridge vehicle dynamic load distribution detection method
  • Long-span bridge vehicle dynamic load distribution detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0095] Step 1. Install a dynamic weighing device at the entrance of each lane of the long-span bridge to obtain vehicle weight information, and install a camera on the bridge to obtain bridge deck images. The camera's field of view can cover the entire bridge deck.

[0096] Step 2, splicing the bridge deck images acquired by the camera to obtain a panoramic image of the entire bridge deck:

[0097] (2.1) For the images taken by two adjacent cameras on the long-span viaduct, the images taken by the two cameras at the same time are respectively taken, such as Figure 7 and Figure 8 as shown, Figure 7 for the template image, Figure 8 is the image to be matched; Figure 7 Using the Harris operator to extract feature points, the result is as follows Figure 9 shown, yes Figure 8 Using the Harris operator to extract feature points, the result is as follows Figure 10 shown.

[0098] select Figure 9 The 10 feature points closest to the right boundary area and Figure 10...

Embodiment 2

[0156] The next frame image in this embodiment is the next frame image of the current frame image in embodiment 1, and the first two frame images of the next frame in this embodiment are the previous frame image of the current frame in embodiment 1, The previous frame image of the next frame in this embodiment is the current frame image in Embodiment 1.

[0157] Step 1 and Step 2 in the method of this embodiment are the same as Step 1 and Step 2 in the method of Embodiment 1.

[0158] Step 3: After obtaining the panoramic image of the entire bridge deck, three consecutive frames of images at the previous moment are taken in the process of detecting moving objects by using the method of hybrid difference and edge detection, as shown in Figure 14 , Figure 15 and Figure 20 as shown, Figure 14 For the first two frames of the next frame, Figure 15 is the previous frame image of the next frame, Figure 20 for the next image frame. Using the same method as Step 3 of Embodi...

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 long-span bridge vehicle dynamic load distribution detection method. According to the method, a dynamic weighing device is used, image stitching and multi-vehicle detection are adopted, real-time collection, real-time processing and real-tine analysis of long-span bridge load data are achieved, and bases are provided for management and maintenance of a bridge. In the splicing process, an image stitching algorithm based on the Harris operator is utilized to remove image overlapping parts. After real-time panoramic images of a bridge floor are obtained, a multi-vehicle detection algorithm is used for tracking vehicles, and vehicle positions are obtained. At last, according to vehicle weights obtained through the dynamic weighing device and the vehicle positions obtained through the multi-vehicle detection algorithm, real-time loads of the bridge are calculated by combining bridge design parameters.

Description

technical field [0001] The invention belongs to the field of bridge detection, and relates to a detection method of a long-span bridge load, in particular to a detection method of a dynamic load distribution of a large-span bridge vehicle. Background technique [0002] The dynamic load distribution of bridge vehicles plays a very important role in the process of bridge design and operation, and is an important parameter in the process of bridge real-time monitoring. In recent years, some bridges have been crushed by overloaded and overweight vehicles from time to time. A large number of illegal overloaded and overweight vehicles have entered the bridge, causing serious damage to the bridge structure and bringing serious hidden dangers to the safe operation of the bridge. Once a danger occurs, it will cause irreparable damage. Loss. Therefore, it is necessary to monitor the bridge in real time. During the monitoring process, it is particularly important to detect the dynamic...

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): G06K9/64G06T5/50G06T3/40G06T7/00
Inventor 赵祥模徐志刚张立成任亮梁超程鑫白国柱周经美
Owner CHANGAN 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