CN117057600A - Online monitoring and analyzing method for concrete bridge structural cracks - Google Patents
Online monitoring and analyzing method for concrete bridge structural cracks Download PDFInfo
- Publication number
- CN117057600A CN117057600A CN202310962341.6A CN202310962341A CN117057600A CN 117057600 A CN117057600 A CN 117057600A CN 202310962341 A CN202310962341 A CN 202310962341A CN 117057600 A CN117057600 A CN 117057600A
- Authority
- CN
- China
- Prior art keywords
- crack
- bridge
- target
- time point
- evaluation coefficient
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000012544 monitoring process Methods 0.000 title claims abstract description 25
- 230000036541 health Effects 0.000 claims abstract description 63
- 238000012216 screening Methods 0.000 claims abstract description 11
- 238000011156 evaluation Methods 0.000 claims description 79
- 238000004458 analytical method Methods 0.000 claims description 25
- 238000012502 risk assessment Methods 0.000 claims description 18
- 230000008569 process Effects 0.000 claims description 14
- 238000012423 maintenance Methods 0.000 abstract description 5
- 230000002787 reinforcement Effects 0.000 abstract description 4
- 238000010276 construction Methods 0.000 description 3
- 230000003862 health status Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 229910001294 Reinforcing steel Inorganic materials 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000003763 carbonization Methods 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000002045 lasting effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000011241 protective layer Substances 0.000 description 1
- 230000003014 reinforcing effect Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/22—Measuring arrangements characterised by the use of optical techniques for measuring depth
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30132—Masonry; Concrete
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Operations Research (AREA)
- Geometry (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention discloses an online monitoring and analyzing method for cracks of a concrete bridge structure, which relates to the technical field of bridge monitoring, and aims to obtain all the cracks of a target bridge which can influence the safety state of the target bridge by screening the cracks of the target bridge structure, analyze all the screened slits of the target bridge to obtain the corresponding risk state of all the slits of the target bridge, analyze the health state of the target bridge, judge the corresponding health state level of all the slits and display the risk state of all the slits and the health state of the bridge, so that monitoring staff can conveniently know the health state of the bridge, timely monitor the situation of the slits of the target bridge, help to find potential structural problems and potential safety hazards, adopt necessary maintenance and reinforcement measures, timely and effectively prevent the slits from being further enlarged, improve the strength and the stability of the bridge and ensure the stable operation of the bridge.
Description
Technical Field
The invention relates to the technical field of bridge monitoring, in particular to an online monitoring and analyzing method for concrete bridge structural cracks.
Background
The concrete is widely applied to bridge structures, has excellent mechanical properties and durability, and can meet the requirements of bridges on strength, rigidity and durability. Meanwhile, the bridge with the concrete structure is relatively simple in construction and low in cost, so that the bridge is widely applied to bridge projects of different types and scales. Although concrete bridges perform well in terms of compression resistance, they are relatively brittle and relatively poor in terms of tensile and flexural properties. In bridge structures, concrete bridges are easily affected by factors such as load, temperature and humidity, cracks and cracks are easily generated, and measures are needed to be taken for reinforcement and protection. Once a concrete bridge structure is damaged or cracked, repair and maintenance work thereof is relatively complex and time-consuming and labor-consuming. Particularly for cracks and damages of hidden parts, a dismantling, replacing or reinforcing method can be needed, and the maintenance difficulty and cost are increased. However, most concrete bridges are provided with cracks, because some cracks do not affect the use of the concrete bridge, but some cracks can cause peeling of a protective layer, corrosion of reinforcing steel bars, carbonization of concrete, low lasting strength and the like, even the normal operation of the bridge is jeopardized, and the service life of the bridge is shortened, so that the cracks of the concrete bridge structure are required to be monitored. However, in the current bridge crack monitoring, only the size and the like of the bridge crack are analyzed, the dangerous state of the bridge crack is not analyzed, the analysis in the prior art is more shallow, and the further expansion of the bridge crack is aggravated by the variables, so that the strength and the stability of the bridge are reduced.
Disclosure of Invention
Aiming at the technical defects, the invention aims to provide an on-line monitoring and analyzing method for concrete bridge structural cracks.
In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides an on-line monitoring analysis method for cracks of a concrete bridge structure, which comprises the following steps:
step one, obtaining apparent cracks of a bridge: distributing each acquisition time point according to a preset time interval, and acquiring each crack image corresponding to each acquisition time point of the target bridge through a camera;
step two, screening apparent cracks of the bridge: acquiring the size information and the position of each crack corresponding to each acquisition time point of the target bridge from each crack image corresponding to each acquisition time point of the target bridge, further obtaining the crack evaluation coefficient of each crack corresponding to each acquisition time point of the target bridge according to the size information of each crack corresponding to each acquisition time point of the target bridge, and screening out each target crack corresponding to the target bridge according to each crack evaluation coefficient corresponding to each acquisition time point of the target bridge;
step three, target crack risk analysis: acquiring crack environment information in each target crack corresponding to the target bridge and temperature corresponding to the target bridge based on each target crack corresponding to the target bridge, analyzing the crack environment information in each target crack corresponding to the target bridge and the temperature corresponding to the target bridge to obtain risk assessment coefficients of each target crack corresponding to the target bridge, judging the risk state of each target crack corresponding to the target bridge according to the risk assessment coefficients of each target crack corresponding to the target bridge, and executing the step six;
step four, bridge structure information acquisition: obtaining bridge offset corresponding to a target bridge and bridge structure information corresponding to the target bridge;
fifthly, bridge structure information analysis: analyzing to obtain a health state evaluation coefficient corresponding to the target bridge based on bridge structure information corresponding to the target bridge, bridge offset corresponding to the target bridge and crack risk evaluation coefficient corresponding to the target bridge, judging a bridge health state grade corresponding to the target bridge according to the health state evaluation coefficient corresponding to the target bridge, and executing the step six;
step six, bridge state display: and displaying the risk state of each target crack corresponding to the target bridge and the bridge health state grade corresponding to the target bridge.
Preferably, the respective crack size information includes a crack length, a crack width, a crack depth, and a crack area.
Preferably, the analysis obtains the crack evaluation coefficients of the target bridge corresponding to each crack at each acquisition time point, and the specific analysis process is as follows:
by calculation formulaCalculating to obtain crack evaluation coefficients of the target bridge corresponding to each crack at each acquisition time point, wherein ζ ij A crack evaluation coefficient corresponding to the j-th crack is obtained for the i-th acquisition time point of the target bridge, i is the number corresponding to each acquisition time point, i=1, 2....n, i=1, 2. Once again, n is>The crack length of the ith acquisition time point and the (i+1) th acquisition time point corresponding to the jth crack are respectively +.>The crack width of the ith acquisition time point and the (i+1) th acquisition time point corresponding to the jth crack are respectively +.>For the crack depth of the jth crack corresponding to the ith acquisition time point,for the crack area of the jth crack corresponding to the ith acquisition time point, deltaCl is a set reference crack length variation value, deltaCw is a set reference crack width variation value, ch is a set reference crack depth, cs is a set reference crack area, alpha 1 、α 2 、α 3 、α 4 Respectively set weight factors corresponding to the crack length, the crack width, the crack depth and the crack area.
Preferably, the screening process of each target crack corresponding to the target bridge is as follows: and comparing the crack evaluation coefficient corresponding to each crack at each acquisition time point of the target bridge with a preset crack evaluation coefficient threshold, and if the crack evaluation coefficient corresponding to a certain crack at a certain acquisition time point of the target bridge is greater than or equal to the preset crack evaluation coefficient threshold, taking the crack corresponding to the acquisition time point of the target bridge as the target crack corresponding to the target bridge, thereby obtaining each target crack corresponding to the target bridge.
Preferably, the fracture environment information includes fracture temperature, fracture moisture and fracture PH.
Preferably, the risk assessment coefficient of each target crack corresponding to the target bridge is obtained through analysis, and the specific analysis process is as follows:
by calculation formulaCalculating to obtain risk assessment coefficients of the target bridge corresponding to each target crack, wherein psi i′ The risk evaluation coefficient of the i 'th target crack corresponding to the target bridge, i' is the number corresponding to each target crack, i '=1', 2'. The term q', te i′ To the crack temperature, hy, corresponding to the i' th target crack i′ The crack humidity, PH, corresponding to the ith' target crack i′ For the PH value of the crack corresponding to the ith target crack, te is the temperature corresponding to the target bridge, deltaTe is the set temperature difference reference value, hy is the set reference crack humidity, PH is the set reference crack PH value, epsilon 1 、ε 2 、ε 3 Respectively set cracksTemperature, crack humidity, and crack PH.
Preferably, the judging the risk state of each target crack corresponding to the target bridge specifically comprises the following steps: comparing the risk evaluation coefficient of each target crack corresponding to the target bridge with each risk evaluation coefficient interval corresponding to the preset risk state of each crack, and judging the risk state corresponding to each target crack in the mode by taking the risk state of each crack corresponding to the risk evaluation coefficient interval as the risk state corresponding to each target crack if the risk evaluation coefficient of each target crack corresponding to the target bridge is in a certain risk evaluation coefficient interval corresponding to the preset risk state of each crack.
Preferably, the bridge construction information includes the bridge age and the bridge usable life.
Preferably, the analysis obtains a health state evaluation coefficient corresponding to the target bridge, and the specific analysis process is as follows:
by calculation formulaCalculating to obtain a health state evaluation coefficient corresponding to the target bridge, wherein θ is the health state evaluation coefficient corresponding to the target bridge, i ' is the number corresponding to each target crack, i ' =1 ',2'. The.i. q ', Δbe is a set reference bridge offset, Δbe ' is the bridge offset corresponding to the target bridge, N is the usable life of the bridge corresponding to the target bridge, N ' is the usable life of the bridge corresponding to the target bridge, and ψ is the calculated value i′ Risk assessment coefficient sigma of ith target crack corresponding to target bridge 1 、σ 2 The bridge offset and the service life are respectively corresponding weight factors.
Preferably, the judging the bridge health status grade corresponding to the target bridge specifically comprises the following steps: and comparing the health state evaluation coefficient corresponding to the target bridge with the health state evaluation coefficient interval corresponding to each set bridge health state grade, and if the health state evaluation coefficient corresponding to the target bridge is in the health state evaluation coefficient interval corresponding to a certain set bridge health state grade, taking the bridge health state grade corresponding to the health state evaluation coefficient interval as the bridge health state grade corresponding to the target bridge, and judging the bridge health state grade corresponding to the target bridge in this way.
The invention has the beneficial effects that: the invention provides an online monitoring analysis method for concrete bridge structure cracks, which is characterized in that the target bridge structure cracks are screened, so that the target bridge cracks which can influence the safety state of the target bridge are obtained, the screened target bridge cracks are analyzed, the risk state corresponding to the target bridge cracks is obtained, the health state of the target bridge is analyzed, the health state grade corresponding to the target bridge is judged, the risk state of each crack and the health state of the bridge are displayed, so that monitoring staff can conveniently know the health state of the bridge, each acquisition time point is arranged at a preset time interval, each crack image corresponding to the target bridge of the bridge is acquired at each acquisition time point, the crack situation of the target bridge can be timely monitored, potential structural problems and potential safety hazards can be helped to be found, necessary maintenance and reinforcement measures are adopted, the occurrence of accidents is avoided, the internal environment information of the target bridge is monitored, the crack risk state of the target bridge is analyzed, the normal operation of the bridge caused by further expansion of the cracks can be timely and effectively prevented, the service life condition of the bridge is shortened, the bridge strength and the stable operation of the bridge is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides an on-line monitoring and analyzing method for cracks of a concrete bridge structure, which comprises the following steps:
step one, obtaining apparent cracks of a bridge: distributing each acquisition time point according to a preset time interval, and acquiring each crack image corresponding to each acquisition time point of the target bridge through a camera;
step two, screening apparent cracks of the bridge: acquiring the size information and the position of each crack corresponding to each acquisition time point of the target bridge from each crack image corresponding to each acquisition time point of the target bridge, further obtaining the crack evaluation coefficient of each crack corresponding to each acquisition time point of the target bridge according to the size information of each crack corresponding to each acquisition time point of the target bridge, and screening out each target crack corresponding to the target bridge according to each crack evaluation coefficient corresponding to each acquisition time point of the target bridge;
in a specific embodiment, the respective crack size information includes a crack length, a crack width, a crack depth, and a crack area.
The maximum value of the crack length corresponding to the crack is set as the crack length, and the maximum value of the crack width corresponding to the crack is set as the crack width.
Based on the positions of the cracks corresponding to the target bridge, the laser scanner is used for three-dimensionally scanning the cracks of the target bridge, and the maximum value of the crack depth corresponding to the cracks is used as the crack depth, so that the crack depth of each crack is obtained.
In a specific embodiment, the analysis obtains the crack evaluation coefficients of the target bridge corresponding to each crack at each acquisition time point, and the specific analysis process is as follows:
by calculation formula
Calculating to obtain crack evaluation coefficients of the target bridge corresponding to each crack at each acquisition time point, wherein ζ ij A crack evaluation coefficient corresponding to the j-th crack is obtained for the i-th acquisition time point of the target bridge, i is the number corresponding to each acquisition time point, i=1, 2....n, i=1, 2. Once again, n is>The crack length of the ith acquisition time point and the (i+1) th acquisition time point corresponding to the jth crack are respectively +.>The crack width of the ith acquisition time point and the (i+1) th acquisition time point corresponding to the jth crack are respectively +.>For the crack depth of the ith acquisition time point corresponding to the jth crack,/for the jth crack>For the crack area of the jth crack corresponding to the ith acquisition time point, deltaCl is a set reference crack length variation value, deltaCw is a set reference crack width variation value, ch is a set reference crack depth, cs is a set reference crack area, alpha 1 、α 2 、α 3 、α 4 Respectively set weight factors corresponding to the crack length, the crack width, the crack depth and the crack area.
The crack evaluation coefficient is larger as the crack length increases faster, the crack width increases faster, the crack depth increases, and the crack area increases.
In a specific embodiment, the screening of each target crack corresponding to the target bridge is performed as follows: and comparing the crack evaluation coefficient corresponding to each crack at each acquisition time point of the target bridge with a preset crack evaluation coefficient threshold, and if the crack evaluation coefficient corresponding to a certain crack at a certain acquisition time point of the target bridge is greater than or equal to the preset crack evaluation coefficient threshold, taking the crack corresponding to the acquisition time point of the target bridge as the target crack corresponding to the target bridge, thereby obtaining each target crack corresponding to the target bridge.
Step three, target crack risk analysis: acquiring crack environment information in each target crack corresponding to the target bridge and temperature corresponding to the target bridge based on each target crack corresponding to the target bridge, analyzing the crack environment information in each target crack corresponding to the target bridge and the temperature corresponding to the target bridge to obtain risk assessment coefficients of each target crack corresponding to the target bridge, judging the risk state of each target crack corresponding to the target bridge according to the risk assessment coefficients of each target crack corresponding to the target bridge, and executing the step six;
in a specific embodiment, the fracture environment information includes fracture temperature, fracture moisture, and fracture PH.
It should be noted that, the temperature sensor is used for collecting the crack temperature in the crack environment information, the humidity sensor is used for collecting the crack humidity in the crack environment information, the PH tester is used for collecting the crack PH value in the crack environment information, and the temperature sensor is used for collecting the temperature corresponding to the target bridge.
In a specific embodiment, the risk assessment coefficient of each target crack corresponding to the target bridge is obtained through the analysis, and the specific analysis process is as follows:
by calculation formulaCalculating to obtain risk assessment coefficients of the target bridge corresponding to each target crack, wherein psi i′ The risk evaluation coefficient of the i 'th target crack corresponding to the target bridge, i' is the number corresponding to each target crack, i '=1', 2'. The term q', te i′ To the crack temperature, hy, corresponding to the i' th target crack i′ Is the ith'Crack humidity, PH, corresponding to each target crack i′ For the PH value of the crack corresponding to the ith target crack, te is the temperature corresponding to the target bridge, deltaTe is the set temperature difference reference value, hy is the set reference crack humidity, PH is the set reference crack PH value, epsilon 1 、ε 2 、ε 3 Respectively set weight factors corresponding to the crack temperature, the crack humidity and the crack PH value.
In a specific embodiment, the judging the risk state of each target crack corresponding to the target bridge specifically comprises the following steps: comparing the risk evaluation coefficient of each target crack corresponding to the target bridge with each risk evaluation coefficient interval corresponding to the preset risk state of each crack, and judging the risk state corresponding to each target crack in the mode by taking the risk state of each crack corresponding to the risk evaluation coefficient interval as the risk state corresponding to each target crack if the risk evaluation coefficient of each target crack corresponding to the target bridge is in a certain risk evaluation coefficient interval corresponding to the preset risk state of each crack.
It should be noted that the risk states corresponding to the target cracks may be classified into low risk, medium risk and high risk.
Step four, bridge structure information acquisition: obtaining bridge offset corresponding to a target bridge and bridge structure information corresponding to the target bridge;
the method comprises the steps of obtaining a measurement datum point, a control point and a target point corresponding to a target bridge from a database, installing a total station on the measurement datum point, adjusting the height and angle of the total station, measuring the control point and the target point of the target bridge by using the total station, obtaining a control point space coordinate and a target point space coordinate corresponding to the target bridge, importing the control point space coordinate and the target point space coordinate corresponding to the target bridge into corresponding computer software for processing and analysis, and further determining the offset of the bridge.
It should be noted that the offset of the bridge is one of important indexes of deformation of the bridge structure, and the deformation condition of the bridge structure can be found and evaluated in time by monitoring the offset, so that the safety performance of the bridge is judged, and potential structural instability and collapse risks are avoided, so that the offset of the bridge is required to be monitored.
Fifthly, bridge structure information analysis: analyzing to obtain a health state evaluation coefficient corresponding to the target bridge based on bridge structure information corresponding to the target bridge, bridge offset corresponding to the target bridge and crack risk evaluation coefficient corresponding to the target bridge, judging a bridge health state grade corresponding to the target bridge according to the health state evaluation coefficient corresponding to the target bridge, and executing the step six;
in a specific embodiment, the bridge construction information includes a bridge age and a bridge usable life.
In a specific embodiment, the analysis obtains the health state evaluation coefficient corresponding to the target bridge, and the specific analysis process is as follows:
by calculation formulaCalculating to obtain a health state evaluation coefficient corresponding to the target bridge, wherein θ is the health state evaluation coefficient corresponding to the target bridge, i ' is the number corresponding to each target crack, i ' =1 ',2'. The.i. q ', Δbe is a set reference bridge offset, Δbe ' is the bridge offset corresponding to the target bridge, N is the usable life of the bridge corresponding to the target bridge, N ' is the usable life of the bridge corresponding to the target bridge, and ψ is the calculated value i′ Risk assessment coefficient sigma of ith target crack corresponding to target bridge 1 、σ 2 The bridge offset and the service life are respectively corresponding weight factors.
In a specific embodiment, the specific judging process of judging the bridge health status level corresponding to the target bridge is as follows: and comparing the health state evaluation coefficient corresponding to the target bridge with the health state evaluation coefficient interval corresponding to each set bridge health state grade, and if the health state evaluation coefficient corresponding to the target bridge is in the health state evaluation coefficient interval corresponding to a certain set bridge health state grade, taking the bridge health state grade corresponding to the health state evaluation coefficient interval as the bridge health state grade corresponding to the target bridge, and judging the bridge health state grade corresponding to the target bridge in this way.
It should be noted that the bridge health status level may be set to a first level, a second level and a third level, wherein the first level is greater than the second level and greater than the third level;
step six, bridge state display: and displaying the risk state of each target crack corresponding to the target bridge and the bridge health state grade corresponding to the target bridge.
According to the embodiment of the invention, the gaps of the target bridge structure are screened, so that the gaps of the target bridge which can influence the safety state of the target bridge are obtained, the screened gaps of the target bridge are analyzed, the risk state corresponding to the gaps of the target bridge is obtained, the health state of the target bridge is analyzed, the health state grade corresponding to the target bridge is judged, the risk state of the gaps and the health state of the bridge are displayed, so that monitoring staff can conveniently know the health state of the bridge, the acquisition time points are arranged at preset time intervals, the images of the gaps corresponding to the target bridge of the bridge are acquired at the acquisition time points, the gap condition of the target bridge can be monitored timely, the potential structural problems and potential safety hazards can be found, necessary maintenance and reinforcement measures are adopted, the accident occurrence is avoided, the environmental information in the gaps of the target bridge is monitored, the gap risk state of the target bridge is analyzed, the normal operation of the bridge, the damage to the bridge caused by further expansion of the gaps can be effectively prevented timely, the bridge service life condition is shortened, the bridge strength and the stable operation of the bridge is improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. The on-line monitoring and analyzing method for the concrete bridge structure cracks is characterized by comprising the following steps:
step one, obtaining apparent cracks of a bridge: distributing each acquisition time point according to a preset time interval, and acquiring each crack image corresponding to each acquisition time point of the target bridge through a camera;
step two, screening apparent cracks of the bridge: acquiring the size information and the position of each crack corresponding to each acquisition time point of the target bridge from each crack image corresponding to each acquisition time point of the target bridge, further obtaining the crack evaluation coefficient of each crack corresponding to each acquisition time point of the target bridge according to the size information of each crack corresponding to each acquisition time point of the target bridge, and screening out each target crack corresponding to the target bridge according to each crack evaluation coefficient corresponding to each acquisition time point of the target bridge;
step three, target crack risk analysis: acquiring crack environment information in each target crack corresponding to the target bridge and temperature corresponding to the target bridge based on each target crack corresponding to the target bridge, analyzing the crack environment information in each target crack corresponding to the target bridge and the temperature corresponding to the target bridge to obtain risk assessment coefficients of each target crack corresponding to the target bridge, judging the risk state of each target crack corresponding to the target bridge according to the risk assessment coefficients of each target crack corresponding to the target bridge, and executing the step six;
step four, bridge structure information acquisition: obtaining bridge offset corresponding to a target bridge and bridge structure information corresponding to the target bridge;
fifthly, bridge structure information analysis: analyzing to obtain a health state evaluation coefficient corresponding to the target bridge based on bridge structure information corresponding to the target bridge, bridge offset corresponding to the target bridge and crack risk evaluation coefficient corresponding to the target bridge, judging a bridge health state grade corresponding to the target bridge according to the health state evaluation coefficient corresponding to the target bridge, and executing the step six;
step six, bridge state display: and displaying the risk state of each target crack corresponding to the target bridge and the bridge health state grade corresponding to the target bridge.
2. The method for on-line monitoring and analyzing cracks of a concrete bridge structure according to claim 1, wherein the size information of each crack comprises a crack length, a crack width, a crack depth and a crack area.
3. The method for on-line monitoring and analyzing the cracks of the concrete bridge structure according to claim 1, wherein the analysis is performed to obtain the crack evaluation coefficients of the target bridge corresponding to the cracks at each acquisition time point, and the specific analysis process is as follows:
by calculation formula
Calculating to obtain crack evaluation coefficients of the target bridge corresponding to each crack at each acquisition time point, wherein ζ ij A crack evaluation coefficient corresponding to the j-th crack is obtained for the i-th acquisition time point of the target bridge, i is the number corresponding to each acquisition time point, i=1, 2....n, i=1, 2. Once again, n is>The crack length of the ith acquisition time point and the (i+1) th acquisition time point corresponding to the jth crack are respectively +.>The crack width of the ith acquisition time point and the (i+1) th acquisition time point corresponding to the jth crack are respectively +.>For the crack depth of the jth crack corresponding to the ith acquisition time point,for the crack area of the ith acquisition time point corresponding to the jth crack, ΔCl is the set reference crack length changeThe value ΔCw is the set reference crack width variation value, ch is the set reference crack depth, cs is the set reference crack area, α 1 、α 2 、α 3 、α 4 Respectively set weight factors corresponding to the crack length, the crack width, the crack depth and the crack area.
4. The method for on-line monitoring and analyzing cracks of a concrete bridge structure according to claim 1, wherein the specific screening process of screening out each target crack corresponding to a target bridge is as follows: and comparing the crack evaluation coefficient corresponding to each crack at each acquisition time point of the target bridge with a preset crack evaluation coefficient threshold, and if the crack evaluation coefficient corresponding to a certain crack at a certain acquisition time point of the target bridge is greater than or equal to the preset crack evaluation coefficient threshold, taking the crack corresponding to the acquisition time point of the target bridge as the target crack corresponding to the target bridge, thereby obtaining each target crack corresponding to the target bridge.
5. The method for on-line monitoring and analyzing cracks of a concrete bridge structure according to claim 1, wherein the crack environment information comprises a crack temperature, a crack humidity and a crack PH.
6. The method for on-line monitoring and analyzing cracks of a concrete bridge structure according to claim 1, wherein the risk assessment coefficients of the target bridge corresponding to the target cracks are obtained by analysis, and the specific analysis process is as follows:
by calculation formulaCalculating to obtain risk assessment coefficients of the target bridge corresponding to each target crack, wherein psi i′ The risk evaluation coefficient of the i 'th target crack corresponding to the target bridge, i' is the number corresponding to each target crack, i '=1', 2'. The term q', te i′ To the crack temperature, hy, corresponding to the i' th target crack i′ For the ith' purposeCrack humidity, PH, corresponding to the target crack i′ For the PH value of the crack corresponding to the ith target crack, te is the temperature corresponding to the target bridge, deltaTe is the set temperature difference reference value, hy is the set reference crack humidity, PH is the set reference crack PH value, epsilon 1 、ε 2 、ε 3 Respectively set weight factors corresponding to the crack temperature, the crack humidity and the crack PH value.
7. The method for on-line monitoring and analyzing cracks of a concrete bridge structure according to claim 1, wherein the judging of the risk state of each target crack corresponding to the target bridge is performed by the following specific judging process: comparing the risk evaluation coefficient of each target crack corresponding to the target bridge with each risk evaluation coefficient interval corresponding to the preset risk state of each crack, and judging the risk state corresponding to each target crack in the mode by taking the risk state of each crack corresponding to the risk evaluation coefficient interval as the risk state corresponding to each target crack if the risk evaluation coefficient of each target crack corresponding to the target bridge is in a certain risk evaluation coefficient interval corresponding to the preset risk state of each crack.
8. The method for on-line monitoring and analyzing cracks of a concrete bridge structure according to claim 1, wherein the bridge structure information comprises the service life of the bridge and the service life of the bridge.
9. The method for on-line monitoring and analyzing the cracks of the concrete bridge structure according to claim 1, wherein the analysis obtains the health state evaluation coefficient corresponding to the target bridge, and the specific analysis process is as follows:
by calculation formulaCalculating to obtain a health state evaluation coefficient corresponding to the target bridge, wherein θ is the health state evaluation coefficient corresponding to the target bridge, i ' is a number corresponding to each target crack, i ' =1 ',2 '..q ', ΔBe is the set reference bridge offset, deltaBe 'is the bridge offset corresponding to the target bridge, N is the usable life of the bridge corresponding to the target bridge, N' is the usable life of the bridge corresponding to the target bridge, and ψ i′ Risk assessment coefficient sigma of ith target crack corresponding to target bridge 1 、σ 2 The bridge offset and the service life are respectively corresponding weight factors.
10. The method for on-line monitoring and analyzing cracks of a concrete bridge structure according to claim 1, wherein the specific judging process is as follows: and comparing the health state evaluation coefficient corresponding to the target bridge with the health state evaluation coefficient interval corresponding to each set bridge health state grade, and if the health state evaluation coefficient corresponding to the target bridge is in the health state evaluation coefficient interval corresponding to a certain set bridge health state grade, taking the bridge health state grade corresponding to the health state evaluation coefficient interval as the bridge health state grade corresponding to the target bridge, and judging the bridge health state grade corresponding to the target bridge in this way.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310962341.6A CN117057600A (en) | 2023-08-02 | 2023-08-02 | Online monitoring and analyzing method for concrete bridge structural cracks |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310962341.6A CN117057600A (en) | 2023-08-02 | 2023-08-02 | Online monitoring and analyzing method for concrete bridge structural cracks |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117057600A true CN117057600A (en) | 2023-11-14 |
Family
ID=88668423
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310962341.6A Pending CN117057600A (en) | 2023-08-02 | 2023-08-02 | Online monitoring and analyzing method for concrete bridge structural cracks |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117057600A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117592820A (en) * | 2024-01-18 | 2024-02-23 | 贵州顺康检测股份有限公司 | Bridge damage disease intelligent recognition system based on computer data analysis |
| CN117743830A (en) * | 2023-12-28 | 2024-03-22 | 张家港保税区金港建设工程质量检测有限公司 | Bridge crack detection method and system |
-
2023
- 2023-08-02 CN CN202310962341.6A patent/CN117057600A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117743830A (en) * | 2023-12-28 | 2024-03-22 | 张家港保税区金港建设工程质量检测有限公司 | Bridge crack detection method and system |
| CN117592820A (en) * | 2024-01-18 | 2024-02-23 | 贵州顺康检测股份有限公司 | Bridge damage disease intelligent recognition system based on computer data analysis |
| CN117592820B (en) * | 2024-01-18 | 2024-03-29 | 贵州顺康检测股份有限公司 | Bridge damage disease intelligent recognition system based on computer data analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3396358B1 (en) | Information processing device and information processing method | |
| Zárate et al. | Bayesian model updating and prognosis of fatigue crack growth | |
| Wang et al. | Flexural performance evaluation of corroded steel beams based on 3D corrosion morphology | |
| CN110502855B (en) | Method for identifying damage of uniform-section continuous beam with support reaction influence line curvature | |
| WO2021036751A1 (en) | Bearing reaction influence line curvature-based continuous beam damage identification method | |
| CN110704911B (en) | Bridge damage cross positioning method based on cluster structure similarity | |
| Heitner et al. | Updating probabilities of bridge reinforcement corrosion using health monitoring data | |
| CN117057600A (en) | Online monitoring and analyzing method for concrete bridge structural cracks | |
| CN114169548B (en) | BIM-based highway bridge management and maintenance PHM system and method | |
| JP2019052959A (en) | Method, device and program for inspecting state of columnar structure | |
| RU2645903C1 (en) | Method of control of the stress and strain state of structural components of massive concrete structures during long-term usage | |
| CN115081863A (en) | Building material entrance intelligent acceptance analysis management platform based on digital twinning technology | |
| US20220137022A1 (en) | Estimation Method | |
| CN117852122A (en) | Method for detecting existing stress of steel strand in PC bridge structure | |
| CN111310273B (en) | Full-bridge structure safety state monitoring method and system based on multi-source data | |
| Strauss et al. | Shear performance mechanism description using digital image correlation | |
| CN116804569A (en) | Railway subgrade collapse monitoring method and system | |
| CN111008412A (en) | Crack width-based reliability assessment method for in-service ballastless track structure | |
| EP4075114A1 (en) | Method for real-time monitoring of structural changes | |
| RU2467318C1 (en) | Method of multi-parameter control of building structures (transport tunnels, buildings, structures) | |
| CN113888043A (en) | Full-period visual management and analysis system for girder diseases of beam bridge | |
| CN113283144A (en) | Method for correcting and identifying damage of corrosion beam model | |
| CN111721510A (en) | Intelligent diagnosis method for steel crane beam based on real-time monitoring | |
| CN116861525A (en) | Beam bridge damage assessment method based on non-broken traffic flow | |
| CN117592820B (en) | Bridge damage disease intelligent recognition system based on computer data analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |