A real-time location method for concrete failure crack path based on infrared radiation monitoring

By using a method based on infrared radiation monitoring, the infrared temperature data of concrete damage is monitored in real time, the crack path of the infrared thermal image is determined, and the mapping scale factor is used to draw the real-time crack path, which solves the problem of difficulty in real-time monitoring and locating the internal crack expansion of concrete in the existing technology. , achieving high-precision, non-contact crack monitoring.

CN118604053BActive Publication Date: 2025-01-24CHINA UNIV OF MINING & TECH
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Patent Information

Application Number
CN202410680544.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-05-29
Publication Date
2025-01-24
Estimated Expiration
2044-05-29

AI Technical Summary

Technical Problem

The prior art is difficult to monitor and locate crack propagation paths in concrete structures in real time and accurately, especially in case of internal concrete damage.

Method used

Using a method based on infrared radiation monitoring, by obtaining concrete damage infrared temperature monitoring data, marking the infrared temperature abnormal thermal image point data, determining the infrared thermal image crack path point set, and using the preset mapping scale factor to map the thermal image point coordinates as Real-time physical coordinates of concrete failure cracks to map the real-time path of crack propagation.

Benefits of technology

Realized real -time positioning and tracking monitoring of the cracking path of concrete destruction. It has the advantages of non -contact, fast speed, high monitoring range, and high accuracy. question.

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Abstract

The present invention proposes a method for real-time positioning of concrete damage crack paths based on infrared radiation monitoring, including: detecting concrete damage infrared temperature monitoring data, marking infrared temperature abnormal thermal image point data; determining the infrared thermal image crack path point set based on the infrared temperature abnormal thermal image point data; using the calculated scale factor, mapping the coordinates of each thermal image point in the infrared thermal image crack path point set to the real-time physical coordinates of concrete damage cracks; based on the real-time physical coordinates of the concrete damage cracks, drawing the real-time path of crack extension in the concrete damage process. The present invention can realize real-time positioning and tracking monitoring of concrete damage crack paths.
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Description

Technical Field

[0001] The invention belongs to the technical field of concrete material damage and destruction monitoring, and in particular relates to a real-time positioning method for concrete damage crack paths based on infrared radiation monitoring. Background Art

[0002] Concrete is a composite material made of various aggregates in a certain proportion. It has the characteristics of easy plasticity, economy, fire resistance, safety and versatility. It is widely used in engineering buildings such as bridges, buildings and dams. During the use of concrete materials, as the structural components are subjected to stress and deformation, and the natural environment, material aging and other factors, concrete is prone to damage and destruction such as crack propagation. Crack propagation will lead to a decrease in the mechanical properties of concrete structures, seriously threatening the safety of concrete structures. Therefore, rapid identification of cracks and real-time accurate positioning of crack propagation paths are hot spots and difficulties in the field of concrete safety monitoring.

[0003] At present, methods such as ultrasonic testing, acoustic emission monitoring, and drone image detection have been widely used in concrete damage crack identification and structural performance evaluation. The ultrasonic method has high requirements on the smoothness and flatness of the concrete surface, and has problems such as limited penetration depth, sensitivity to material structure, and the need for coupling. In addition, the equipment is expensive and consumes a lot of energy. It is mainly used for regular inspection of concrete buildings and cannot monitor the stability of concrete structures for a long time. The acoustic emission method requires the sensor to be pasted on the surface of the sample or buried inside the sample, but the sound waves will be refracted and scattered inside the sample, affecting the accuracy of monitoring. Drone image detection determines the crack evolution process by patrolling, collecting and analyzing images, and it is not easy to observe the extension of damage cracks inside concrete. Therefore, a non-destructive, non-contact, real-time concrete damage crack identification and tracking and positioning monitoring method is proposed, which is of great significance for the safety monitoring of concrete structures. Summary of the invention

[0004] The purpose of the present invention is to propose a real-time positioning method for the path of concrete damage cracks based on infrared radiation monitoring, to overcome the shortcomings of the prior art, to solve the problems of limited penetration depth of ultrasonic detection, high requirements on the smoothness and flatness of the concrete surface, refraction and scattering of acoustic emission monitoring sound waves inside the sample, and difficulty in observing the extension of damage cracks inside the concrete by drone image detection, and the like. By monitoring the infrared thermal image of the concrete damage and destruction process, real-time positioning and tracking monitoring of the path of concrete damage cracks can be achieved. This method has the advantages of non-contact, high speed, large monitoring range, high precision, etc.

[0005] To achieve the above object, the present invention provides a method for real-time positioning of concrete failure crack paths based on infrared radiation monitoring, comprising:

[0006] Obtain infrared temperature monitoring data of concrete damage and mark abnormal infrared temperature thermal image point data;

[0007] Determining a set of infrared thermal image crack path points based on the infrared temperature abnormality thermal image point data;

[0008] Using a preset mapping scale factor, the coordinates of each thermal image point in the infrared thermal image crack path point set are mapped into real-time physical coordinates of the concrete failure crack;

[0009] Based on the real-time physical coordinates of the concrete failure crack, the real-time crack propagation path of the concrete failure process is drawn.

[0010] Optionally, infrared temperature monitoring data for detecting concrete damage and marking infrared temperature abnormality thermal image point data include:

[0011] Collecting the infrared temperature monitoring data of concrete damage and calculating the infrared temperature increment matrix;

[0012] Calculate the infrared temperature adaptive threshold for concrete damage crack determination;

[0013] Based on the infrared temperature adaptive threshold for determining concrete damage cracks, the temperature point in the infrared temperature increment matrix corresponding to each thermal image point is determined to obtain the infrared temperature abnormal thermal image point data.

[0014] Optionally, the infrared temperature increment matrix is:

[0015]

[0016] in, is the infrared temperature data matrix at time tp, t (p-1) Infrared temperature data matrix at all times, is the infrared temperature increment matrix Temperature point, (x m ,y n ) are the coordinates of the infrared temperature point.

[0017] Optionally, the infrared temperature adaptive threshold is:

[0018]

[0019] in, is the mean value of the temperature points in the infrared temperature matrix, is the standard deviation of temperature points in the infrared temperature matrix, is the adaptive temperature threshold for crack initiation and extension of the infrared temperature thermal image point in the pth frame, and k is the standard deviation coefficient.

[0020] Optionally, determining the temperature point in the infrared temperature increment matrix corresponding to each thermal image point includes:

[0021] Real-time dynamic detection of each frame of infrared temperature increment matrix, if the temperature point corresponding to each thermal image point in the infrared temperature increment matrix exceeds the infrared temperature adaptive threshold for determining concrete damage cracks, the thermal image point is determined to be the infrared temperature abnormal thermal image point data, and the infrared temperature abnormal thermal image point data is marked.

[0022] Optionally, determining the infrared thermal image crack path point set includes:

[0023] Classify according to the number of time frames in the infrared temperature abnormal thermal image point data to determine the infrared thermal image crack path point set;

[0024] The infrared thermal image crack path point set is:

[0025]

[0026] in, Represents t p The infrared temperature abnormal thermal image point data marked at the time, P p Corresponding to t p P1 is the set of infrared thermal image crack path points at time t1, P2 is the set of infrared thermal image crack path points at time t1, is the infrared temperature abnormal thermal image point data marked at time t1, P2 is the infrared thermal image crack path point set at time t2, It is the infrared temperature abnormal thermal image point data marked at time t2.

[0027] Optionally, the mapping scale factor is:

[0028]

[0029] Among them, S c is the mapping scale factor, R Sample Represents the side length of the specimen, R image Represents the number of infrared thermal image points corresponding to the side length of the sample.

[0030] Optionally, the method of mapping the coordinates of each thermal image point to the real-time physical coordinates of the concrete failure crack is:

[0031]

[0032] In the formula, is the coordinate of each thermal image point in the infrared thermal image crack path point set, is the real-time physical coordinate of the concrete failure crack, R p is the real-time path point set of concrete destruction cracks, d x dy Represents the offset of the center of the infrared thermal imager acquisition frame relative to the center of the concrete sample, S c is the scale factor.

[0033] Optionally, based on the real-time physical coordinates of the concrete failure crack, drawing a real-time crack propagation path during the concrete failure process includes:

[0034] Based on the real-time physical coordinates of the concrete failure crack, a crack path offset function, a design matrix and an observation value vector are constructed;

[0035] Based on the design matrix and the observation value vector, the crack path deviation function is minimized to obtain an optimal parameter vector;

[0036] Based on the optimal parameter vector, obtain t p Moment crack fitting curve;

[0037] t p The real-time path point set R of all cracks before time p After segmented fitting, according to the time series, t p All the crack fitting curves before the time are drawn in real time in the concrete physical size coordinate system to obtain the real-time crack path of concrete failure.

[0038] Optionally, the crack path deviation function is:

[0039]

[0040] in, t p time Corresponding to the fitted prediction coordinates, Real-time physical coordinates of the destruction crack;

[0041] The design matrix and observation vector are:

[0042]

[0043]

[0044] In the formula, is the design matrix, is the observation value vector, c is the degree of the fitting polynomial;

[0045] The optimal parameter vector is:

[0046]

[0047] in, is the optimal parameter vector, a0,a1,a2,...,a care polynomial coefficients, c is the degree of the fitting polynomial;

[0048] The p The crack fitting curve at the moment is:

[0049]

[0050] in, t p The moment crack fitting curve, is the horizontal coordinate value of the real-time physical coordinate of the destruction crack, a c are the polynomial coefficients.

[0051] The present invention has the following beneficial effects:

[0052] The present invention detects infrared temperature monitoring data of concrete damage, marks infrared temperature abnormal thermal image point data; then determines the infrared thermal image crack path point set based on the infrared temperature abnormal thermal image point data; then uses a preset scale factor to map the coordinates of each thermal image point in the infrared thermal image crack path point set to the real-time physical coordinates of concrete damage cracks; finally, based on the real-time physical coordinates of the concrete damage cracks, draws the real-time path of crack extension in the concrete damage process. By monitoring the infrared thermal image of the concrete damage process, real-time positioning and tracking monitoring of the concrete damage crack path is achieved, which has the advantages of non-contact, fast speed, large monitoring range, high precision, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0054] Figure 1 It is a schematic flow chart of a method for real-time positioning of concrete failure crack paths based on infrared radiation monitoring according to an embodiment of the present invention;

[0055] Figure 2 A schematic diagram of an experimental system used in an embodiment of the present invention;

[0056] Figure 3 Schematic diagram of infrared thermal image crack path point set of an embodiment of the present invention; wherein (a) is a P1 infrared thermal image crack path point set, (b) is a P2 infrared thermal image crack path point set, (c) is a P3 infrared thermal image crack path point set, and (d) is a P4 infrared thermal image crack path point set;

[0057] Figure 4 Schematic diagram of mapping infrared thermal image point coordinates to concrete physical coordinates according to an embodiment of the present invention; wherein (a) is a set of crack path points of the infrared thermal image, and (b) is the real-time physical coordinates of the concrete failure crack;

[0058] Figure 5 Schematic diagram of real-time positioning of concrete failure crack path according to an embodiment of the present invention; wherein (a) is the real-time physical coordinates of concrete failure crack, and (b) is the real-time drawing of concrete failure crack path;

[0059] Among them, 1. Press; 2. Digital controller; 3. Loading control system; 4. High-speed camera; 5. Image acquisition system; 6. Supplementary light source; 7. Infrared thermal imager; 8. Infrared monitoring system; 9. Concrete sample. DETAILED DESCRIPTION

[0060] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0061] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0062] This embodiment proposes a real-time location method for concrete damage crack path based on infrared radiation monitoring, including:

[0063] Detect infrared temperature monitoring data of concrete damage and mark infrared temperature abnormal thermal image point data;

[0064] Based on the infrared temperature abnormality thermal image point data, determine the infrared thermal image crack path point set;

[0065] Using the preset scale factor, the coordinates of each thermal image point in the infrared thermal image crack path point set are mapped to the real-time physical coordinates of the concrete failure crack;

[0066] Based on the real-time physical coordinates of the concrete failure crack, the real-time crack propagation path of the concrete failure process is drawn.

[0067] Furthermore, infrared temperature monitoring data for detecting concrete damage and marking infrared temperature abnormal thermal image point data include:

[0068] Collect infrared temperature monitoring data of concrete damage and calculate infrared temperature increment matrix;

[0069] Calculate the infrared temperature adaptive threshold for concrete damage crack determination;

[0070] Based on the infrared temperature adaptive threshold for determining concrete damage cracks, the temperature point in the infrared temperature increment matrix corresponding to each thermal image point is determined to obtain infrared temperature abnormal thermal image point data.

[0071] Furthermore, based on the real-time physical coordinates of the concrete failure crack, drawing the real-time crack propagation path of the concrete failure process includes:

[0072] Based on the real-time physical coordinates of the concrete failure crack, the crack path offset function, design matrix and observation value vector are constructed;

[0073] Based on the design matrix and the observation value vector, the crack path deviation function is minimized to obtain the optimal parameter vector;

[0074] Based on the optimal parameter vector, obtain t i Moment crack fitting curve;

[0075] t i After the real-time physical coordinates of all concrete failure cracks before time t are segmented and fitted, the t i All crack fitting curves before the moment are plotted in real time in the concrete physical size coordinate system to obtain the real-time crack path of concrete failure.

[0076] Combination Figure 1 The present embodiment provides a method for real-time positioning of concrete crack paths based on infrared radiation monitoring, which specifically includes the following steps:

[0077] S1. Collect infrared temperature monitoring data of concrete damage and calculate infrared temperature increment matrix;

[0078] S2. Define and calculate the infrared temperature adaptive threshold for concrete crack determination

[0079] S3, detecting infrared temperature abnormal thermal image points of concrete damage crack extension, and marking infrared temperature abnormal thermal image point data;

[0080] S4. Determine the infrared thermal image crack path point set P based on the infrared temperature abnormal thermal image point data. i ;

[0081] S5, calculating the infrared thermal image and concrete mapping scale factor, mapping the infrared thermal image crack path to the actual concrete failure crack path;

[0082] S6. Extract the coordinates of the real-time crack path points and draw the real-time crack propagation path during the concrete destruction process.

[0083] In some embodiments, in combination Figure 2 As shown, the method for collecting infrared temperature monitoring data of concrete damage in S1 includes:

[0084] Install the experimental system, place the concrete sample 9, and place the concrete sample 9 on the load-bearing platform of the press 1. Adjust the position of the sample so that the upper platen of the press 1 can cover the top of the sample. Place the infrared thermal imager 7 and the high-speed camera 4 1m in front of the sample, adjust the lens position so that it faces the observation surface of the concrete sample 9, adjust the focal length of the infrared thermal imager 7 and the high-speed camera 4 to achieve the best resolution, and start preheating in advance. Set the parameters of the loading control system 3, control the press 1 through the digital controller 2, and after adjusting all parameters, synchronously start all instruments and supplementary light sources 6, collect infrared temperature monitoring data of concrete damage, record the actual physical parameters of concrete in the image acquisition system 5, select the concrete contour boundary in the infrared monitoring system 8, draw and export the infrared temperature data matrix

[0085]

[0086] Where T is the infrared temperature point in the matrix, and the subscript (x i ,y j ) are the coordinates of the infrared temperature points, where i = 1, 2..., m, j = 1, 2..., n, and the superscript p is the number of frames for infrared temperature data acquisition.

[0087] For example, in S1, infrared temperature monitoring data of concrete damage is collected, including: calculating the infrared temperature increment matrix The formula is as follows:

[0088]

[0089] In the formula, t p Infrared temperature data matrix at all times, t (p-1) Infrared temperature data matrix at all times, is the infrared temperature increment matrix Temperature point.

[0090] In some optional embodiments, the infrared temperature adaptive threshold for determining concrete damage cracks is defined and calculated in S2. include:

[0091] During the crack initiation and expansion of concrete cracks, abnormal high or low temperature points will be generated. By calculating the adaptive temperature threshold The abnormal temperature points in the infrared temperature matrix can be screened out, and the calculation method is as follows:

[0092]

[0093]

[0094]

[0095] In the formula, is the mean value of the temperature points in the infrared temperature matrix, is the standard deviation of temperature points in the infrared temperature matrix, is the adaptive temperature threshold for crack initiation and extension at the infrared temperature point of the pth frame, and k is the standard deviation coefficient, which is selected according to actual conditions.

[0096] Specifically, for the above steps, the selection of the standard deviation coefficient k will affect the monitoring accuracy. If many crack points are misjudged, a smaller standard deviation coefficient should be selected. In this embodiment, k is 2.

[0097] In some exemplary embodiments, in S3, detecting infrared temperature abnormal thermal image points of concrete damage crack extension and marking infrared temperature abnormal thermal image point data include: the determination condition of infrared temperature abnormal thermal image points of concrete damage is:

[0098] Real-time dynamic detection of each frame infrared temperature increment matrix If any thermal image point corresponds to Adaptive temperature threshold exceeded It is determined to be an infrared temperature abnormal thermal image point, and the thermal image point data is marked

[0099] Among them, t p is the time frame number of infrared temperature abnormal thermal image points, (x i ,y j ) are the coordinates of infrared thermal image points.

[0100] In the above embodiment, in S4, based on the infrared temperature abnormality thermal image point data, the infrared thermal image crack path point set P is determined. p ,include:

[0101] According to the abnormal thermal image data The number of time frames p is classified to determine the set of crack path points, where:

[0102]

[0103] In the formula, Represents the infrared temperature abnormal thermal image point data, P p Corresponding to t p The set of infrared thermal image crack path points at each moment.

[0104] like Figure 3 As shown, in this embodiment:

[0105]

[0106]

[0107]

[0108]

[0109] in, Figure 3 (a) is the set of crack path points of P1 infrared thermal image. Figure 3 (b) is the set of crack path points of P2 infrared thermal image. Figure 3 (c) is the set of crack path points of P3 infrared thermal image. Figure 3 (d) is the set of crack path points of P4 infrared thermal image;

[0110] Exemplarily, in S5, calculating the infrared thermal image and concrete mapping scale factor, mapping the infrared thermal image crack path to the actual concrete failure crack path, includes:

[0111] First determine the mapping scale factor S c , the formula is as follows:

[0112]

[0113] In the formula, R Sample Represents the side length of the specimen, R image Represents the number of infrared thermal image points corresponding to the side length of the sample;

[0114] Using the scale factor S c The infrared thermal image crack path P p Coordinates of thermal image points Mapping to real-time physical coordinates of concrete failure cracks The formula is as follows:

[0115]

[0116] In the formula, R p is the real-time path point set of concrete destruction cracks, d x d y represents the offset of the center of the infrared thermal imager acquisition frame relative to the center of the concrete sample. In this embodiment, Figure 2 The infrared thermal imager 7 faces the concrete sample 9 and the acquisition frame is drawn according to the contour boundary of the concrete sample 9, and the offset is negligible.

[0117] Can be combined Figure 4 As shown, Figure 4 (a) is the set of crack path points of infrared thermal image. Figure 4 (b) is the real-time physical coordinate of the concrete failure crack; in this embodiment, S c is 1 / 2, and after mapping P1, P2, P3, and P4, we get:

[0118]

[0119]

[0120]

[0121]

[0122] Exemplarily, in S6, the coordinates of the real-time path point set of the crack are extracted, and the real-time path of crack propagation in the concrete destruction process is drawn, including:

[0123] According to the principle of least squares, extract t p Real-time path point set of concrete damage cracks before time R p , and the corresponding physical coordinates The real-time crack path at different times is drawn in segments, specifically:

[0124] Construct the crack path offset function:

[0125]

[0126] In the formula, t p time Corresponding to the fitted prediction coordinates, Real-time physical coordinates of the destruction crack.

[0127] Construct the design matrix and observation vector:

[0128]

[0129]

[0130] In the formula, is the design matrix, is the observation vector, and c is the degree of the fitting polynomial.

[0131] Minimize the crack path deviation function, solve the normal equations, and obtain the optimal parameter vector

[0132]

[0133] In the formula, a0, a1, a2, ..., a p are polynomial coefficients, and p is the degree of the fitting polynomial.

[0134] Calculate t p Moment crack fitting curve

[0135]

[0136] tp The real-time path point set R of all cracks before time p After segmented fitting, according to the time series, t p All crack fitting curves before time It is drawn in real time in the physical dimension coordinate system of concrete to obtain the real-time crack path of concrete failure.

[0137] Specifically, for the above steps, in this embodiment, if the crack morphology is simple, the polynomial fitting should be performed with a lower degree; if the crack morphology is complex, the polynomial fitting should be performed with a higher degree.

[0138] Can be combined Figure 5 As shown, Figure 5 (a) is the real-time physical coordinates of the concrete damage crack, Figure 5 (b) is the real-time drawing of the concrete failure crack path. In this embodiment, if R1 is fitted with a 7th-order polynomial, the crack fitting curve can be obtained:

[0139]

[0140] In the formula, a0=-6.95E8, a1=1.34E8, a2=-1.11E7, a3=5.07E5, a4=-1.39E4, a5=2.29E2, a6=-2.09, a7=0.01.

[0141] If R3 is fitted with an 8th-order polynomial, the crack fitting curve can be obtained:

[0142]

[0143] In the formula, a0=-1.64E9, a1=3.64E8, a2=-3.53E7, a3=1.96E6, a4=-6.76E4, a5=1.49E3, a6=-20.60, a7=0.16, a8=-5.57E-4.

[0144] The above are only preferred specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for real-time positioning of concrete damage crack paths based on infrared radiation monitoring, characterized in that: include: Obtain infrared temperature monitoring data of concrete damage and mark abnormal infrared temperature thermal image point data; Determining a set of infrared thermal image crack path points based on the infrared temperature abnormality thermal image point data; Using a preset mapping scale factor, the coordinates of each thermal image point in the infrared thermal image crack path point set are mapped into real-time physical coordinates of the concrete failure crack; Based on the real-time physical coordinates of the concrete failure crack, the real-time crack propagation path of the concrete failure process is drawn; Infrared temperature monitoring data for detecting concrete damage and marking infrared temperature abnormality thermal image point data include: Collecting the infrared temperature monitoring data of concrete damage and calculating the infrared temperature increment matrix; Calculate the infrared temperature adaptive threshold for concrete damage crack determination; Based on the infrared temperature adaptive threshold for determining concrete damage cracks, the temperature point in the infrared temperature increment matrix corresponding to each thermal image point is determined to obtain the infrared temperature abnormal thermal image point data; The infrared temperature adaptive threshold is: in, is the mean value of the temperature points in the infrared temperature matrix, is the standard deviation of temperature points in the infrared temperature matrix, is the adaptive temperature threshold for crack initiation and extension at the infrared temperature point of the pth frame, and k is the standard deviation coefficient.

2. The method for real-time positioning of concrete crack paths based on infrared radiation monitoring according to claim 1 is characterized in that: The infrared temperature increment matrix is: in, t p Infrared temperature data matrix at all times, t (p-1) Infrared temperature data matrix at all times, is the infrared temperature increment matrix Temperature point, infrared temperature point coordinates (xm,yn) Mark.

3. The method for real-time positioning of concrete crack paths based on infrared radiation monitoring according to claim 1 is characterized in that: Determining the temperature point in the infrared temperature increment matrix corresponding to each thermal image point includes: Real-time dynamic detection of each frame of infrared temperature increment matrix, if the temperature point corresponding to each thermal image point in the infrared temperature increment matrix exceeds the infrared temperature adaptive threshold for determining concrete damage cracks, the thermal image point is determined to be the infrared temperature abnormal thermal image point data, and the infrared temperature abnormal thermal image point data is marked.

4. The method for real-time positioning of concrete crack paths based on infrared radiation monitoring according to claim 1 is characterized in that: Determining the infrared thermal image crack path point set includes: Classify according to the number of time frames in the infrared temperature abnormal thermal image point data to determine the infrared thermal image crack path point set; The infrared thermal image crack path point set is: in, Represents t p The infrared temperature abnormal thermal image point data marked at the time, P p Corresponding to t p P1 is the set of infrared thermal image crack path points at time t1, P2 is the set of infrared thermal image crack path points at time t1, is the infrared temperature abnormal thermal image point data marked at time t1, P2 is the infrared thermal image crack path point set at time t2, It is the infrared temperature abnormal thermal image point data marked at time t2.

5. The method for real-time positioning of concrete crack paths based on infrared radiation monitoring according to claim 1 is characterized in that: The mapping scale factor is: Among them, S c is the mapping scale factor, R Sample Represents the side length of the specimen, R image Represents the number of infrared thermal image points corresponding to the side length of the sample.

6. The method for real-time positioning of concrete crack paths based on infrared radiation monitoring according to claim 1 is characterized in that: The method of mapping the coordinates of each thermal image point to the real-time physical coordinates of the concrete failure crack is: In the formula, is the coordinate of each thermal image point in the infrared thermal image crack path point set, is the real-time physical coordinate of the concrete failure crack, R p is the real-time path point set of concrete destruction cracks, d x d y Represents the offset of the center of the infrared thermal imager acquisition frame relative to the center of the concrete sample, S c is the scale factor.

7. The method for real-time positioning of concrete crack paths based on infrared radiation monitoring according to claim 1 is characterized in that: Drawing the real-time crack propagation path of the concrete destruction process based on the real-time physical coordinates of the concrete destruction crack includes: Based on the real-time physical coordinates of the concrete failure crack, a crack path offset function, a design matrix and an observation value vector are constructed; Based on the design matrix and the observation value vector, the crack path deviation function is minimized to obtain an optimal parameter vector; Based on the optimal parameter vector, obtain t p Moment crack fitting curve; t p The real-time path point set R of all cracks before time p After segmented fitting, according to the time series, t p All the crack fitting curves before the time are drawn in real time in the concrete physical size coordinate system to obtain the real-time crack path of concrete failure.

8. The method for real-time positioning of concrete crack paths based on infrared radiation monitoring according to claim 7 is characterized in that: The crack path deviation function is: in, t p time Corresponding to the fitted prediction coordinates, Real-time physical coordinates of the destruction crack; The design matrix and observation vector are: In the formula, is the design matrix, is the observation value vector, c is the degree of the fitting polynomial; The optimal parameter vector is: in, is the optimal parameter vector, a0,a1,a2,...,a c are polynomial coefficients, c is the degree of the fitting polynomial; The p The crack fitting curve at the moment is: in, t p The moment crack fitting curve, is the horizontal coordinate value of the real-time physical coordinate of the destruction crack, a c are the polynomial coefficients.

Citation Information

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