CN-121982034-A - Construction monitoring method and system for high-speed rail continuous rigid frame Liang Xiacheng type bridge fabrication machine

CN121982034ACN 121982034 ACN121982034 ACN 121982034ACN-121982034-A

Abstract

The invention provides a construction monitoring method and a system for a high-speed rail continuous rigid frame Liang Xiacheng type bridge fabrication machine, and relates to the technical field of construction monitoring for bridge fabrication machines; determining a plurality of crack target monitoring points corresponding to each high-risk crack sensitive development chain based on infrared video of the concrete solidification process of Liang Tibiao surfaces after construction of a rigid frame Liang Xiacheng type bridge fabrication machine and digital image measurement three-dimensional deformation field data of each high-risk crack sensitive development chain; based on a plurality of crack target monitoring points corresponding to each high-risk crack sensitive development chain, real-time monitoring and risk early warning of concrete cracks on the surface of the beam body are carried out, and the method can efficiently and accurately determine the key monitoring positions of the concrete cracks in the construction of the continuous rigid frame beam of the high-speed rail so as to realize accurate early warning.

Inventors

LUO ZHENGXIN
PENG XUEYING
LI NIANJUN
Jiang Meishang
WANG KE
ZHANG SHIWEN
LU HAIYAN
LIU LINGJUN
ZHOU ZHONGYUN
TAO YU
LUO QIDONG
DING WEI
LI ZHIHUA
REN XIAOFENG
YANG XIONG
CHEN GANG
KUANG WENYI
YANG LUN
TANG JUN
WANG KAIGUO
Lu Picheng
WANG YANGYANG
GAO HENG
XU HONGGANG

Assignees

中铁五局集团成都工程有限责任公司
中铁五局集团有限公司
长江沿岸铁路集团四川有限公司

Dates

Publication Date: 20260505
Application Date: 20260408

Claims (8)

1. The construction monitoring method of the bridge fabrication machine of the high-speed railway continuous rigid frame Liang Xiacheng is characterized by comprising the following steps: Acquiring construction environment meteorological data and an infrared video of a Liang Tibiao-surface concrete solidification process after construction of a rigid frame Liang Xiacheng type bridge fabrication machine; generating an initial distribution map of the surface crack development risk after the solidification of the beam body concrete based on the construction environment meteorological data and the infrared video of the solidification process of the Liang Tibiao surface concrete after the construction of the rigid frame Liang Xiacheng type bridge fabrication machine; Determining a plurality of crack monitoring areas based on an initial distribution map of the surface crack development risk after the beam body concrete is solidified; Acquiring crack monitoring data of each crack monitoring area; Determining a plurality of high risk crack-sensitive developmental chains based on the crack-monitoring data for each crack-monitoring region; Acquiring digital image measurement three-dimensional deformation field data of each high-risk crack sensitive development chain; Determining a plurality of crack target monitoring points corresponding to each high-risk crack sensitive development chain based on infrared video of the Liang Tibiao-surface concrete solidification process after construction of the rigid frame Liang Xiacheng type bridge fabrication machine and the digital image measurement three-dimensional deformation field data of each high-risk crack sensitive development chain; And carrying out real-time monitoring and risk early warning on the concrete cracks on the surface of the beam body based on a plurality of crack target monitoring points corresponding to each high-risk crack sensitive development chain.
2. The method for monitoring construction of the bridge fabrication machine for the continuous rigid frame Liang Xiacheng of the high-speed railway according to claim 1, wherein the determining a plurality of high-risk crack-sensitive development chains based on the crack-monitoring data of each crack-monitoring area comprises: clustering is carried out on the basis of the crack monitoring data of each crack monitoring area to determine K crack distribution characteristic clusters; determining a plurality of crack development risk area information based on the K crack distribution feature clusters and the initial distribution map of the surface crack development risk after the beam body concrete is solidified; Constructing a crack evolution map, wherein the crack evolution map comprises a plurality of crack risk nodes and edges between the plurality of crack risk nodes, each crack risk node corresponds to a crack development risk area, and the node characteristics of each crack risk node are crack development risk area information of the crack development risk area; and processing the crack evolution map based on a graph neural network to determine a plurality of high-risk crack sensitive development chains.
3. The method for monitoring construction of a bridge fabrication machine for high-speed rail continuous rigid frames Liang Xiacheng according to claim 1, wherein the determining the plurality of crack target monitoring points corresponding to each high-risk crack sensitive development chain based on the infrared video of the concrete solidification process of Liang Tibiao surfaces after construction of the rigid frames Liang Xiacheng bridge fabrication machine and the digital image measurement three-dimensional deformation field data of each high-risk crack sensitive development chain comprises: Determining critical cracking monitoring points of each high-risk crack sensitive development chain and stress release information of each high-risk crack sensitive development chain based on infrared video of the Liang Tibiao-surface concrete solidification process after construction of the rigid frame Liang Xiacheng type bridge fabrication machine and the digital image measurement three-dimensional deformation field data of each high-risk crack sensitive development chain; determining terminal extension monitoring points of each high-risk crack-sensitive development chain based on stress release information of each high-risk crack-sensitive development chain; and determining a plurality of crack target monitoring points corresponding to each high-risk crack sensitive development chain based on the critical crack monitoring points of each high-risk crack sensitive development chain and the tail end extension monitoring points of each high-risk crack sensitive development chain.
4. The method for monitoring construction of the bridge fabrication machine of the continuous rigid frame Liang Xiacheng of the high-speed railway according to claim 2, wherein the input of the graph neural network is the crack evolution map, and the output of the graph neural network is a plurality of high-risk crack sensitive development chains.
5. The utility model provides a continuous rigid frame Liang Xiacheng formula bridge fabrication machine construction monitoring system of high-speed railway which characterized in that includes: the acquisition module is used for acquiring the meteorological data of the construction environment and the infrared video of the solidification process of the Liang Tibiao-surface concrete after the rigid frame Liang Xiacheng type bridge fabrication machine is constructed; The risk prediction module is used for generating an initial distribution map of the surface crack development risk after the beam body concrete is solidified based on the construction environment meteorological data and the infrared video of the Liang Tibiao side concrete solidification process after the rigid frame Liang Xiacheng type bridge fabrication machine is constructed; the monitoring area determining module is used for determining a plurality of crack monitoring areas based on an initial distribution map of the surface crack development risk after the beam body concrete is solidified; The crack monitoring data acquisition module is used for acquiring the crack monitoring data of each crack monitoring area; The crack chain identification module is used for determining a plurality of high-risk crack sensitive development chains based on the crack monitoring data of each crack monitoring area; The deformation data acquisition module is used for acquiring digital image measurement three-dimensional deformation field data of each high-risk crack sensitive development chain; The target monitoring point determining module is used for determining a plurality of crack target monitoring points corresponding to each high-risk crack sensitive development chain based on the infrared video of the Liang Tibiao-surface concrete solidification process after the rigid frame Liang Xiacheng type bridge fabrication machine is constructed and the digital image measurement three-dimensional deformation field data of each high-risk crack sensitive development chain; And the monitoring early warning execution module is used for carrying out real-time monitoring and risk early warning on the concrete cracks on the surface of the beam body based on a plurality of crack target monitoring points corresponding to each high-risk crack sensitive development chain.
6. The high-speed rail continuous rigid frame Liang Xiacheng bridge fabrication machine construction monitoring system of claim 5, wherein the crack chain identification module is further configured to: clustering is carried out on the basis of the crack monitoring data of each crack monitoring area to determine K crack distribution characteristic clusters; determining a plurality of crack development risk area information based on the K crack distribution feature clusters and the initial distribution map of the surface crack development risk after the beam body concrete is solidified; Constructing a crack evolution map, wherein the crack evolution map comprises a plurality of crack risk nodes and edges between the plurality of crack risk nodes, each crack risk node corresponds to a crack development risk area, and the node characteristics of each crack risk node are crack development risk area information of the crack development risk area; and processing the crack evolution map based on a graph neural network to determine a plurality of high-risk crack sensitive development chains.
7. The high-speed rail continuous rigid frame Liang Xiacheng bridge fabrication machine construction monitoring system of claim 5, wherein the target monitoring point determination module is further configured to: Determining critical cracking monitoring points of each high-risk crack sensitive development chain and stress release information of each high-risk crack sensitive development chain based on infrared video of the Liang Tibiao-surface concrete solidification process after construction of the rigid frame Liang Xiacheng type bridge fabrication machine and the digital image measurement three-dimensional deformation field data of each high-risk crack sensitive development chain; determining terminal extension monitoring points of each high-risk crack-sensitive development chain based on stress release information of each high-risk crack-sensitive development chain; and determining a plurality of crack target monitoring points corresponding to each high-risk crack sensitive development chain based on the critical crack monitoring points of each high-risk crack sensitive development chain and the tail end extension monitoring points of each high-risk crack sensitive development chain.
8. The high-speed rail continuous rigid frame Liang Xiacheng bridge fabrication machine construction monitoring system of claim 6, wherein the input of the graph neural network is the crack evolution map and the output of the graph neural network is a plurality of high-risk crack sensitive development chains.

Description

Construction monitoring method and system for high-speed rail continuous rigid frame Liang Xiacheng type bridge fabrication machine Technical Field The invention relates to the technical field of bridge fabrication machine construction monitoring, in particular to a method and a system for monitoring construction of a high-speed railway continuous rigid frame Liang Xiacheng type bridge fabrication machine. Background In the construction of the continuous rigid frame Liang Xiacheng type bridge fabrication machine of the high-speed rail, early microcracks are easily generated by Liang Tibiao-surface concrete in the solidification stage due to temperature and humidity change, shrinkage, load and other factors. If the microcracks are not found in time, the microcracks are communicated in a spreading way in the subsequent operation, and become starting points for the deterioration of structural performance, so that the driving safety is seriously threatened. At present, the monitoring of cracks in the concrete construction period mainly depends on a layout method of combining manual inspection with a traditional point sensor. This approach has significant limitations. The manual inspection efficiency is low, subjectivity is strong, continuous and comprehensive perception of the surface of the bulk concrete beam body is difficult to realize, and especially, inspection blind areas and safety risks exist on complex high-altitude construction sites. The traditional point type sensor needs to be preset in position, relies on experience judgment, and is blindly arranged. Because of uncertainty of crack initiation and development, limited fixed monitoring points are prone to error and distort real crack positions and propagation paths, so that monitoring is incomplete and early warning is delayed. The sensor acquires local discrete physical quantity, and is difficult to describe the integral development trend of the fracture network and spatially correlate with each other from a macroscopic level. In addition, the existing monitoring method lacks of multidimensional and overall process association analysis on early-stage temperature field evolution, micro-defect distribution and macroscopic deformation fields of concrete, so that the analysis depth of crack formation and expansion mechanisms is insufficient, and timely and reliable data support is difficult to provide for active prevention and control of cracks and accurate risk early warning in the construction process. Therefore, how to efficiently and accurately determine the key monitoring position of the concrete crack in the construction of the continuous rigid frame beam of the high-speed railway so as to realize accurate early warning is a current problem to be solved urgently. Disclosure of Invention The method mainly solves the technical problem that the key monitoring position of the concrete crack in the construction of the continuous rigid frame beam of the high-speed rail is determined efficiently and accurately so as to realize accurate early warning. According to a first aspect, the invention provides a construction monitoring method of a continuous rigid frame Liang Xiacheng type bridge fabrication machine, which comprises the steps of obtaining construction environment weather data and infrared videos of a Liang Tibiao-side concrete solidification process after construction of the rigid frame Liang Xiacheng type bridge fabrication machine, generating a beam body concrete solidification back surface crack development risk initial distribution map based on the construction environment weather data and the infrared videos of the Liang Tibiao-side concrete solidification process after construction of the rigid frame Liang Xiacheng type bridge fabrication machine, determining a plurality of crack monitoring areas based on the beam body concrete solidification back surface crack development risk initial distribution map, obtaining crack monitoring data of each crack monitoring area, determining a plurality of high risk crack sensitive development chains based on the crack monitoring data of each crack monitoring area, obtaining three-dimensional deformation field data of the digital images of each high risk crack sensitive development chain, determining a plurality of target crack sensitive chains corresponding to each high risk crack based on the infrared videos of the Liang Tibiao-side concrete solidification process after construction of the rigid frame Liang Xiacheng type bridge fabrication machine, and carrying out real-time early warning on the risk of each target crack sensitive crack based on the target crack sensitive development chains corresponding to each target crack monitoring points of the high risk crack sensitive development chains. In a possible implementation manner, the determining a plurality of high-risk crack-sensitive development chains based on the crack monitoring data of each crack monitoring area comprises determining K crack dis