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

Beidou system-based large-span bridge deformation real-time monitoring method

A real-time monitoring, large-span technology, applied in the redundant operation of data error detection, measurement device, error detection/correction and other directions, can solve the problem of providing intuitive and effective decision-making basis for bridge maintenance personnel, difficult to popularize widely. , investment waste and other issues, to achieve the effect of improving accuracy and reliability of prediction and evaluation, improving calculation accuracy, and prolonging service life

Active Publication Date: 2017-05-31
中南安全环境技术研究院股份有限公司
View PDF5 Cites 49 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] There are some common problems in the popularization and application of the existing bridge health monitoring system for long-span continuous girder bridges: the existing health monitoring system has a lot of monitoring and testing content, and there is no special analysis for the mechanical characteristics of long-span continuous girder bridges. There is no monitoring system developed for deformation monitoring of long-span continuous girder bridges; most health monitoring systems use GPS positioning systems for displacement measurement. Since the GPS system was developed and researched by the United States, there are key technology limitations and hidden dangers in data security. ; Some bridge health monitoring systems are not designed by bridge professionals, or these designers lack rich experience in bridge inspection and evaluation, which makes the layout of their measuring points unreasonable, resulting in large differences in the scale of system measuring points, resulting in critical Missing data; there are various types of sensors in the system, and a large amount of data has been obtained, but it has nothing to do with the main diseases of the long-span continuous girder bridge, resulting in a large amount of data that is difficult to handle, which cannot provide intuitive and effective decision-making basis for bridge maintenance personnel and causes investment waste; The service life of a large number of sensors and the long-term use of transmission lines directly lead to the short service life of the monitoring system, and it is difficult to guarantee the use efficiency; the health monitoring system is huge, and the one-time construction cost is expensive, so it is difficult to popularize

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
  • Beidou system-based large-span bridge deformation real-time monitoring method
  • Beidou system-based large-span bridge deformation real-time monitoring method
  • Beidou system-based large-span bridge deformation real-time monitoring method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] In order to illustrate the technical effects of the present invention, the present invention takes the Beijing-Hong Kong-Macao Expressway Caidian Hanjiang Bridge as the monitoring object to perform long-term mid-span deflection monitoring. The Han River Bridge is a large bridge across the Han River on the Beijing-Hong Kong-Macau Expressway in Hubei. It is located in Caidian District, Wuhan City, Hubei Province. The whole bridge consists of a two-way four-lane expressway and a two-lane agricultural road. It started construction in October 1998 and was completed in October 2001. . The upper structure of the main bridge is a prestressed concrete box-section continuous rigid structure, and the left and right sides are single-box single-chamber box girder and single-box double-chamber box girder respectively. 28m wide. In 2014, the Han River Bridge was monitored, and it was found that the measured alignment of the main bridge in 2014 was compared with the completed bridge a...

Embodiment 2

[0072] The method provided by the invention is used for early warning analysis and reminder of bridge deformation, and according to the monitored maximum value of dynamic deformation, an alarm is given to whether the elastic deformation of the beam body is within a normal range. According to the dynamic deformation measured by the monitoring system, combined with the structural calculation and analysis of the bridge design, under the limit state of the bridge's bearing capacity and the limit state of normal service, the deformation value a of the mid-span of the beam under the most unfavorable combination of design loads, When the monitored maximum dynamic deformation value b is greater than a value, the monitoring system sends out an alarm signal. Such as Image 6 Shown, for adopting the method provided by the present invention to measure the girder elevation of the bridge after 13 years of completion and the comparison curve when the bridge is completed.

[0073] The invent...

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 present invention provides a Beidou system-based large-span bridge deformation real-time monitoring method. The Beidou system-based large-span bridge deformation real-time monitoring method includes the following steps of: data acquisition; data processing: a cloud computing data center performs differential processing and filtering processing on original data based on a cloud computing environment to realize the real-time calculation on the original data, obtains calculated bridge deformation data and stores the original data and the calculated bridge deformation data to a database; and data storage and management. According to the method, when the deformation of a bridge is abnormal, some local and overall parameters of the structure of the bridge are picked up precisely in real time through a Beidou positioning system, and the characteristics of the deformation of the bridge which are different from that of the deformation of the bridge in a normal state are identified, so that a damaged position and the corresponding damage degree of the position are determined, and evaluation and early warning are performed; and through the long-term observation of deformation-sensitive characteristic quantity, the evolution rule of the performance degradation of the bridge can be mastered, so that corresponding improvement measures can be deployed, and the service life of the bridge can be prolonged; and the Beidou positioning navigation technology is adopted, so that the accuracy of monitoring and the reliability of prediction and evaluation can be greatly improved.

Description

technical field [0001] The invention belongs to the technical field of beam bridge deformation real-time monitoring systems, and in particular relates to a method for real-time monitoring of long-span bridge deformation based on the Beidou system. Background technique [0002] At present, the main defects of long-span continuous girder bridges at home and abroad during operation are excessive mid-span deflection, oblique cracks in the web, cracks in the bottom plate and other deformation phenomena. The methods and instruments widely used in China to collect deformation data such as mid-span and downward deflection of continuous girder bridges are artificial optical measurement method, connected pipe method, tension line method, video imaging method and total station, accelerometer, laser interferometer, Strain gauges, etc. These methods and instruments have their own advantages and disadvantages, but they have low degree of automation, heavy workload, observation is easily ...

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): G01B21/32G06F17/30G06F11/14G06Q50/08
CPCG01B21/32G06F11/1458G06F16/21G06F16/22G06F16/245G06F16/248G06F16/252G06F16/254G06F16/283G06F2201/80G06Q50/08
Inventor 石正雄张若钢
Owner 中南安全环境技术研究院股份有限公司
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