Concrete surface crack real-time monitoring system and crack risk assessment method

Abstract

The invention relates to the technical field of building materials, and discloses a concrete surface crack real-time monitoring system and a crack risk assessment method, and the system comprises a crack image collection system, an image parameterization processing module, an image superposition processing module, and a crack information processing module. A risk coefficient calculation module; and a cracking risk assessment module. The concrete surface crack real-time monitoring system can perform multi-dimensional monitoring on concrete surface cracks, establish a three-dimensional space model, perform parameterized assignment and establish a coordinate system by adopting a multi-view geometric method, and divide the concrete surface crack into a plurality of planes in the three-dimensional space, so that multiple crack parameters are calculated, and the real-time monitoring of the concrete surface cracks is realized. Therefore, the risk coefficient of the concrete surface crack is calculated, comprehensive evaluation is carried out in combination with the trend of the crack, powerful data support is provided when the cracking risk of the concrete surface crack is evaluated, the cracking risk evaluation error is reduced, and the accuracy of the cracking risk evaluation is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of building materials, and in particular to a real-time monitoring system for concrete surface cracks and a cracking risk assessment method. Background Art

[0002] Concrete is a commonly used building material nowadays. It is an artificial stone made by mixing cement as the main cementing material, water, sand, gravel, and chemical admixtures and mineral admixtures when necessary, in appropriate proportions, and then evenly mixing, compacting, forming, and curing to harden.

[0003] Due to the effects of concrete hydration heat release, shrinkage deformation, load, environmental erosion, and steel corrosion, cracking is common in reinforced concrete structures. Concrete cracking affects the safety, stability, and durability of the structure. Therefore, real-time monitoring of concrete and cracking risk assessment are necessary to ensure that concrete is used under safe conditions.

[0004] However, the current monitoring effect of concrete is poor. It is impossible to monitor cracks from multiple dimensions. It only monitors the length, width and area of cracks. The monitoring parameters of cracks are not comprehensive enough, which makes it difficult to obtain strong data support for cracking risk assessment. This is not conducive to ensuring the accuracy of cracking risk assessment. The error of cracking risk assessment is large and there are limitations in its use.

[0005] In view of this, in-depth research was conducted on the above problems, and a real-time monitoring system for concrete surface cracks and a cracking risk assessment method were proposed. Summary of the Invention

[0006] The purpose of the present invention is to provide a real-time monitoring system for concrete surface cracks and a cracking risk assessment method to solve the problem raised in the above background technology that the existing real-time monitoring system for concrete surface cracks and the cracking risk assessment method cannot guarantee the monitoring of cracks from multiple dimensions, resulting in a lack of strong data support during cracking risk assessment, which is not conducive to ensuring the accuracy of cracking risk assessment.

[0007] To achieve the above objectives, the present invention provides the following technical solutions: a real-time monitoring system for concrete surface cracks and a cracking risk assessment method, comprising a crack image acquisition system, an image parameterization processing module, an image coincidence processing module, a crack information processing module, a risk coefficient calculation module, and a cracking risk assessment module.

[0008] The crack image acquisition system uses a camera to capture cracks on the concrete surface in real time;

[0009] The image parameterization processing module is used to perform parameterization assignment on the captured image using a multi-view geometry method to establish a coordinate system;

[0010] The image overlap processing module is used to overlap the images before and after the concrete surface cracks to intuitively present the crack direction;

[0011] The crack information processing module is used to calculate characteristic parameters of concrete surface cracks based on the established coordinate system;

[0012] The risk coefficient calculation module calculates the risk coefficient based on the characteristic parameters of the concrete surface cracks;

[0013] The cracking risk assessment module is used to compare the concrete surface crack risk coefficient with a preset concrete surface crack risk coefficient threshold, and to perform risk level classification to achieve concrete surface crack risk assessment.

[0014] As a preferred technical solution of the present invention, the crack image acquisition system uses multiple cameras, and multiple cameras are used to capture cracks on the concrete surface from different angles.

[0015] As a preferred technical solution of the present invention, the image parameterization processing module fuses images of multiple cracks on the concrete surface, uses a multi-perspective reconstruction algorithm to align the cracks, and establishes a three-dimensional spatial model of the cracks on the concrete surface, thereby obtaining the geometric information of the cracks on the concrete surface in three-dimensional space.

[0016] As a preferred technical solution of the present invention, the crack information processing module calculates characteristic parameters of concrete surface cracks including crack length, crack width, crack depth, crack area, crack volume and crack inclination angle.

[0017] A method for real-time monitoring and cracking risk assessment of concrete surface cracks comprises the following steps:

[0018] Step 1: Use multiple cameras to capture multiple images of cracks on the concrete surface;

[0019] Step 2: Fuse multiple concrete surface crack images, register the cracks using a multi-view reconstruction algorithm, build a three-dimensional spatial model of the concrete surface cracks, and use a multi-view geometry method to perform parameter assignment and establish a coordinate system.

[0020] Step 3: Overlap the images of the concrete surface before and after cracking to visually display the direction of the cracks;

[0021] Step 4: Divide the three-dimensional space of the concrete surface crack into n planes, and calculate the length L, crack width W, crack depth D, crack area S, crack volume V, and crack inclination angle θ of each plane crack based on the coordinate system to obtain comprehensive characteristic parameters of the crack;

[0022] Step 5: Calculate the concrete surface crack risk coefficient based on the parameters of multiple planes, and compare it with the concrete surface crack risk coefficient threshold to divide the risk level. Then, comprehensively evaluate the concrete surface crack risk based on the structural crack direction.

[0023] As a preferred technical solution of the present invention, the technical formula in step 4 is:

[0024] L n =Σ(X ni -X ni-1 ) 2 λ 1；

[0025] W n =Σ(Y ni -Y ni-1 ) 2 λ 2；

[0026] D n =Σ[(X ni -X ni-1 ) 2 +(Y ni -Y ni-1 ) 2 ]λ 3；

[0027] S n =ΣL n W n ;

[0028] Vn=Sn(Dn-Dn-1);

[0029] θ n =Σ[(X ni -X ni-1 )-(Y ni -Y ni-1 )] / 2λ 3；

[0030] Where λ1 is the weight coefficient of length value; λ2 is the weight coefficient of width value; λ3 is the weight coefficient of depth value and λ4 is the weight coefficient of tilt angle value.

[0031] As a preferred technical solution of the present invention, the technical formula for the concrete surface crack risk coefficient in step 5 is:

[0032] Y=Σ

[0033] [(L n +L ni-1 )+(W n +W ni-1 )+(L n +L ni-1)+(D n +D ni-1 )+(S n +S ni-1 )+(V n +V ni-1 )+(θ n +θ ni-1 )]K;

[0034] Where K is the risk assessment weight coefficient.

[0035] As a preferred technical solution of the present invention, the risk coefficient thresholds in the fifth step are Y1, Y2, Y3, Y4, Y5, and Y1 < Y2 < Y3 < Y4 < Y5. The specific evaluation criteria for the risk coefficient of concrete surface cracks are as follows:

[0036] Y < Y1, safe;

[0037] Y1 < Y < Y2, relatively safe;

[0038] Y2 < Y < Y3, dangerous;

[0039] Y3 < Y < Y4, relatively dangerous;

[0040] Y4 < Y < Y5, very dangerous;

[0041] Y5 < Y, extremely dangerous.

[0042] Compared with the prior art, the beneficial effects of the present invention are as follows: The real-time monitoring system for concrete surface cracks can monitor the concrete surface cracks in multiple dimensions. By fusing multiple captured images and establishing a three-dimensional space model, parameterizing and assigning values using multi-view geometric methods, establishing a coordinate system, and dividing the three-dimensional space of the concrete surface cracks into multiple planes, the length, width, depth, area, volume, and inclination angle of the cracks can be calculated, so as to calculate the risk coefficient of the concrete surface cracks. Combining with the overlapping of the images before and after the concrete surface cracking to present the cracking trend of the cracks for comprehensive evaluation, it provides strong data support for the risk assessment of concrete surface cracks, reduces the error of the cracking risk assessment, and improves the accuracy of the cracking risk assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic flow chart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] The following will provide a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0045] See also Figure 1 The technical solution of the present invention is a real-time monitoring system for concrete surface cracks, including a crack image acquisition system, an image parameterization processing module, an image coincidence processing module, a crack information processing module, a risk coefficient calculation module, and a cracking risk assessment module.

[0046] The crack image acquisition system uses a camera to capture cracks on the concrete surface in real time;

[0047] The image parameterization processing module is used to perform parameterization assignment on the captured image using a multi-view geometry method to establish a coordinate system;

[0048] The image overlap processing module is used to overlap the images before and after the concrete surface cracks to intuitively present the crack direction;

[0049] The crack information processing module is used to calculate characteristic parameters of concrete surface cracks based on the established coordinate system;

[0050] The risk coefficient calculation module calculates the risk coefficient based on the characteristic parameters of the concrete surface cracks;

[0051] The cracking risk assessment module is used to compare the concrete surface crack risk coefficient with a preset concrete surface crack risk coefficient threshold, and to perform risk level classification to achieve concrete surface crack risk assessment.

[0052] The crack image acquisition system uses multiple cameras to capture cracks on the concrete surface from different angles.

[0053] The image parameterization processing module fuses multiple images of cracks on the concrete surface, uses a multi-view reconstruction algorithm to align the cracks, and establishes a three-dimensional spatial model of the cracks on the concrete surface, thereby obtaining geometric information of the cracks on the concrete surface in three-dimensional space;

[0054] The crack information processing module calculates the characteristic parameters of concrete surface cracks including crack length, crack width, crack depth, crack area, crack volume and crack inclination angle;

[0055] A method for real-time monitoring and cracking risk assessment of concrete surface cracks comprises the following steps:

[0056] Step 1: Use multiple cameras to capture multiple images of cracks on the concrete surface;

[0057] Step 2: Fuse multiple concrete surface crack images, register the cracks using a multi-view reconstruction algorithm, build a three-dimensional spatial model of the concrete surface cracks, and use a multi-view geometry method to perform parameter assignment and establish a coordinate system.

[0058] Step 3: Overlap the images of the concrete surface before and after cracking to visually display the direction of the cracks;

[0059] Step 4: Divide the three-dimensional space of the concrete surface crack into n planes, and calculate the length L, crack width W, crack depth D, crack area S, crack volume V, and crack inclination angle θ of each plane crack based on the coordinate system to obtain comprehensive characteristic parameters of the crack;

[0060] Step 5: Calculate the concrete surface crack risk coefficient based on the parameters of multiple planes, and compare it with the concrete surface crack risk coefficient threshold to divide the risk level. Then, comprehensively evaluate the concrete surface crack risk based on the structural crack direction.

[0061] The calculation formula in step 4 is:

[0062] L n =Σ(X ni -X ni-1 ) 2 λ 1；

[0063] W n =Σ(Y ni -Y ni-1 ) 2 λ 2；

[0064] D n =Σ[(X ni -X ni-1 ) 2 +(Y ni -Y ni-1 ) 2 ]λ 3；

[0065] S n =ΣL n W n ;

[0066] Vn=Sn(Dn-Dn-1);

[0067] θ n =Σ[(X ni -X ni-1 )-(Yni -Y ni-1 )] / 2λ 3；

[0068] Where λ1 is the length value weight coefficient; λ2 is the width value weight coefficient; λ3 is the depth value weight coefficient; and λ4 is the tilt angle value weight coefficient.

[0069] The calculation formula for the risk coefficient of concrete surface cracks in Step 5 is as follows:

[0070] Y = Σ

[0071] [(L n + L ni-1 ) + (W n + W ni-1 ) + (L n + L ni-1 ) + (D n + D ni-1 ) + (S n + S ni-1 ) + (V n + V ni-1 ) + (θ n + θ ni-1 )]K;

[0072] Where K is the risk assessment weight coefficient.

[0073] The risk coefficient thresholds in Step 5 are Y1, Y2, Y3, Y4, and Y5, and Y1 < Y2 < Y3 < Y4 < Y5. The specific risk coefficient assessment criteria for concrete surface cracks are as follows:

[0074] Y < Y1, safe;

[0075] Y1 < Y < Y2, relatively safe;

[0076] Y2 < Y < Y3, dangerous;

[0077] Y3 < Y < Y4, relatively dangerous;

[0078] Y4 < Y < Y5, very dangerous;

[0079] Y5 < Y, extremely dangerous.

[0080] The content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0081] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A real-time monitoring system for concrete surface cracks, characterized in that: It includes a crack image acquisition system, an image parameterization processing module, an image coincidence processing module, a crack information processing module; a risk coefficient calculation module, and a cracking risk assessment module: The crack image acquisition system captures the cracks on the concrete surface in real time through a camera; The image parameterization processing module is used to parameterize and assign values to the captured images using the multi-view geometry method and establish a coordinate system; The image coincidence processing module is used to overlap the images before and after cracking on the concrete surface to visually present the cracking direction of the cracks; The crack information processing module is used to calculate the characteristic parameters of the cracks on the concrete surface based on the established coordinate system; The risk coefficient calculation module calculates the risk coefficient based on the characteristic parameters of the cracks on the concrete surface; The cracking risk assessment module is used to compare the risk coefficient of the cracks on the concrete surface with the preset threshold value of the risk coefficient of the cracks on the concrete surface, and conduct risk level classification to achieve the assessment of the cracking risk of the cracks on the concrete surface.

2. A real-time monitoring system for concrete surface cracks according to claim 1, characterized in that: Multiple cameras are set in the crack image acquisition system, and multiple cameras are used to capture the cracks on the concrete surface from different angles.

3. A real-time monitoring system for concrete surface cracks according to claim 1, characterized in that: The image parameterization processing module fuses the images of the cracks on multiple concrete surfaces, uses the multi-view reconstruction algorithm to register the cracks, and establishes a three-dimensional space model of the cracks on the concrete surface, and can obtain the geometric information of the cracks on the concrete surface in the three-dimensional space.

4. A real-time monitoring system for concrete surface cracks according to claim 1, characterized in that: The characteristic parameters of the cracks on the concrete surface calculated by the crack information processing module include crack length, crack width, crack depth, crack area, crack volume, and crack inclination angle.

5. A method for real-time monitoring and cracking risk assessment of concrete surface cracks, characterized in that: It includes the following steps: Step 1: Take multiple images of the cracks on the concrete surface through multiple cameras; Step 2: Fuse the multiple images of the cracks on the concrete surface, use the multi-view reconstruction algorithm to register the cracks, establish a three-dimensional space model of the cracks on the concrete surface, and use the multi-view geometry method to parameterize and assign values to establish a coordinate system; Step 3: Overlap the images before and after cracking on the concrete surface to visually present the cracking trend of the cracks; Step 4: Divide the three-dimensional space of the cracks on the concrete surface into n planes, and calculate the length L, width W, depth D, area S, volume V, and inclination angle θ of the cracks on each plane based on the coordinate system to obtain comprehensive characteristic parameters of the cracks; Step 5: Calculate the risk coefficient of the cracks on the concrete surface based on the parameters of multiple planes, compare it with the threshold value of the risk coefficient of the cracks on the concrete surface for risk level classification, and then comprehensively conduct the assessment of the cracking risk of the cracks on the concrete surface in combination with the cracking trend of the structural cracks.

6. A method for real-time monitoring and cracking risk assessment of concrete surface cracks according to claim 5, characterized in that: The technical formula in Step 4 is: L n =Σ(X ni -X ni-1 ) 2 l 1； W n =Σ(Y ni -Y ni-1 ) 2 l 2； D n =Σ[(X ni -X ni-1 ) 2 +(Y ni -Y ni-1 ) 2 ]l 3； S n =ΣL n W n ; V n =S n (D n -D n-1 ); θ n =Σ[(X ni -X ni-1 )-(AND ni -AND ni-1 )] / 2λ 3； In the formula, λ1 is the length value weight coefficient; λ2 is the width value weight coefficient; λ3 is the depth value weight coefficient; λ4 is the inclination angle value weight coefficient.

7. A method for real-time monitoring and cracking risk assessment of concrete surface cracks according to claim 6, characterized in that: The technical formula for the risk coefficient of the cracks on the concrete surface in Step 5 is: Y = Σ [(L n +L ni-1 )+(W n +W ni-1 )+(L n +L ni-1 )+(D n +D ni-1 )+(S n +S ni-1 )+(V n +V ni-1 )+(θ n +θ ni-1 )]K; [[ID=二十]]In the formula, K is the risk assessment weight coefficient.

8. A method for real-time monitoring and cracking risk assessment of concrete surface cracks according to claim 7, characterized in that: The threshold values of the risk coefficient in Step 5 are Y1, Y2, Y3, Y4, Y5, and Y1 < Y2 < Y3 < Y4 < Y5. The specific assessment criteria for the risk coefficient of the cracks on the concrete surface are: Y < Y1, safe; Y1 < Y < Y2, relatively safe; Y2 < Y < Y3, dangerous; Y3 < Y < Y4, relatively dangerous; Y4 < Y < Y5, very dangerous; Y5 < Y, extremely dangerous.

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