A concrete early cracking detection device

Abstract

The present invention relates to the technical field of concrete crack resistance detection, and in particular to a concrete early crack resistance detection device. The device comprises a tampering rod, a data acquisition module and a tampering rod control module, wherein the data acquisition module is used to obtain a tampering area image during the concrete tampering process, and the tampering rod control module is used to analyze and process the collected tampering area image to obtain the uniformity of particle size and the uniformity of particle position distribution, and obtain a tampering quality evaluation value by combining the uniformity of particle size and the uniformity of particle position distribution; determine the actual tampering time based on the tampering quality evaluation value; obtain an adjusted tampering frequency according to the difference between the actual tampering time and the preset tampering time and the tampering frequency of the tampering rod within the preset time period, and adjust the tampering frequency of the tampering rod during the next tampering process. The present invention improves the tampering effect of concrete and can effectively ensure the accuracy of the detection results of the early crack resistance performance of concrete.

Description

Technical Field

[0001] The invention relates to the technical field of concrete anti-cracking detection, and in particular to an early concrete anti-cracking detection device. Background Art

[0002] Concrete will produce hydration reaction during the early hardening process, which will cause changes in the volume of concrete and residual internal stress. By conducting early crack resistance detection on concrete and timely evaluating the crack resistance of concrete, it can effectively prevent large-scale damage to the construction building after the construction is completed. Therefore, it is an important step to conduct early crack resistance detection on concrete to evaluate the quality of concrete. After pouring the prepared concrete on the early crack resistance detection device, the concrete is tamped after pouring to avoid stratification of the concrete and ensure the uniformity of the concrete to reflect the true performance of the concrete.

[0003] The tamping of the current concrete anti-cracking detection device depends on the tamping device, and the tamping of the concrete is completed by setting a fixed tamping time based on experience. However, due to the differences in the tamping time required for concrete of different properties, different tamping intensities are required for concrete at different positions in the anti-cracking performance detection device in different time periods. The traditional method of tamping at a fixed tamping intensity within a fixed tamping time is prone to insufficient or excessive tamping, which in turn leads to inaccurate results of early concrete crack resistance detection. Summary of the invention

[0004] In order to solve the problem that the existing concrete crack resistance detection device has inaccurate detection results when detecting early concrete crack resistance, the purpose of the present invention is to provide a concrete early crack resistance detection device, and the technical solution adopted is as follows:

[0005] The present invention provides a concrete early crack resistance detection device, which includes a tampering rod, a data acquisition module and a tampering rod control module:

[0006] The data acquisition module is used to obtain multiple consecutive frames of tampering area images and the tampering frequency of the tampering rod during the concrete tampering process within a preset time period;

[0007] The tinkering rod control module is used to obtain the uniformity of the particle size of each frame of the tinkering area image according to the curvature distribution of the edge points in each frame of the tinkering area image; obtain the uniformity of the particle position distribution of each frame of the tinkering area image by combining the relative position distribution of the edge lines in each frame of the tinkering area image and the concrete particle distribution; obtain a tinkering quality evaluation value by combining the uniformity of the particle size and the uniformity of the particle position distribution; determine the actual tinkering time based on the tinkering quality evaluation value; obtain an adjusted tinkering frequency according to the difference between the actual tinkering time and the preset tinkering time and the tinkering frequency of the tinkering rod in the preset time period, and adjust the tinkering frequency of the tinkering rod during the next tinkering process.

[0008] Preferably, obtaining the uniformity of the particle size of each frame of the tampering area image according to the curvature distribution of the edge points in each frame of the tampering area image comprises:

[0009] Obtaining a fitting circle and a curvature of the fitting circle corresponding to each closed edge line in the candidate image; the curvatures of the fitting circles corresponding to all closed edge lines in the candidate image constitute a curvature set; calculating the discreteness of the data in the curvature set respectively; fitting the data in the curvature set to obtain a correction determination coefficient;

[0010] According to the correction determination coefficient and the discrete degree, the uniformity of the particle size of the candidate image is obtained, wherein the correction determination coefficient is positively correlated with the uniformity of the particle size, and the discrete degree is negatively correlated with the uniformity of the particle size;

[0011] The candidate image is any frame of the tampering area image.

[0012] Preferably, the step of comprehensively analyzing the relative position distribution of edge lines and the concrete particle distribution in each frame of the tampering area image to obtain the uniformity of the particle position distribution in each frame of the tampering area image includes:

[0013] For any fiddle region image:

[0014] The center point of the closed area enclosed by the candidate edge line is respectively used as the center of the feature circle; the distance between each edge point on the candidate edge line and the center of the feature circle is respectively obtained as the first distance corresponding to each edge point; the first distances corresponding to all edge points on the candidate edge line constitute a first distance set;

[0015] For any edge point on the candidate edge line, a circular area with the edge point as the center and each element in the first distance set as the radius is used as the reference area of ​​the edge point; the ratio between the number of reference areas of the edge point and the maximum area of ​​all reference areas of the edge point is used as the density of the edge point; the candidate edge line is any closed edge line in the tinkering area image;

[0016] Obtaining a uniformity index corresponding to each sub-region in the tinkering region image according to the distribution of the density of edge points in each sub-region and other sub-regions in the tinkering region image; the sub-regions are obtained by dividing the tinkering region image;

[0017] According to the overall distribution of uniformity indexes corresponding to all sub-regions in the tinkering region image, the uniformity of particle position distribution of the tinkering region image is obtained.

[0018] Preferably, obtaining the uniformity index corresponding to each sub-region in the tinkering region image according to the distribution of the density of edge points in each sub-region and other sub-regions in the tinkering region image includes:

[0019] For any sub-region in the tinkering region image:

[0020] According to the maximum value of the DTW distance between the parameter vectors of the sub-region and other sub-regions, the uniformity index corresponding to the sub-region is obtained, and the maximum value of the DTW distance is negatively correlated with the uniformity index; the parameter vector is composed of the standard deviation of the density of all edge points in the sub-region, the average value of the density of all edge points in the sub-region, and the number of all edge points in the sub-region.

[0021] Preferably, obtaining the uniformity of particle position distribution of the tinkering area image according to the overall distribution of uniformity indicators corresponding to all sub-areas in the tinkering area image comprises:

[0022] The average value of the difference indexes of all sub-regions in the tinkering region image is taken as the uniformity of the particle position distribution of the tinkering region image.

[0023] Preferably, the uniformity of particle size and the uniformity of particle position distribution are combined to obtain a tampering quality evaluation value, including:

[0024] The product of the uniformity of the particle size and the uniformity of the particle position distribution of each frame of the tampering area image is used as the tampering quality evaluation value corresponding to each frame of the tampering area image.

[0025] Preferably, determining the actual fiddling time based on the fiddling quality evaluation value includes:

[0026] The tinkering quality evaluation values ​​corresponding to all tinkering area images within a preset time period are sorted in chronological order to obtain a tinkering quality evaluation value sequence; the actual tinkering duration is determined based on the time corresponding to the tinkering area image corresponding to the first element in the tinkering quality evaluation value sequence that is greater than a preset quality threshold.

[0027] Preferably, obtaining the adjusted tinkering frequency according to the difference between the actual tinkering duration and the preset tinkering duration and the tinkering frequency of the tinkering stick within the preset time period comprises:

[0028] If the actual tinkering time is greater than or equal to the preset tinkering time, the difference between the maximum value of the tinkering frequency of the tinkering stick and the tinkering frequency of the tinkering stick in the preset time period is recorded as a first frequency difference; the normalized result of the difference between the actual tinkering time and the preset tinkering time is recorded as a first adjustment factor; the product of the first frequency difference and the first adjustment factor is recorded as a first product, and the sum of the tinkering frequency of the tinkering stick in the preset time period and the first product is recorded as the adjusted tinkering frequency;

[0029] If the actual tinkering time is less than the preset tinkering time, the difference between the minimum value of the tinkering frequency of the tinkering stick and the tinkering frequency of the tinkering stick within the preset time period is recorded as the second frequency difference; the product of the second frequency difference and the first adjustment factor is recorded as the second product, and the difference between the tinkering frequency of the tinkering stick within the preset time period and the second product is used as the adjusted tinkering frequency.

[0030] Preferably, obtaining the uniformity of the particle size of the candidate image according to the correction determination coefficient and the discrete degree includes:

[0031] The discrete degree of the data in the curvature set and the sum of a preset adjustment parameter are calculated, and the ratio between the correction determination coefficient and the sum is used as the uniformity of the particle size of the candidate image; the preset adjustment parameter is a constant greater than 0.

[0032] Preferably, obtaining the discrete degree of the data in the curvature set includes:

[0033] The standard deviation of the data in the curvature set is taken as the degree of dispersion of the data in the curvature set.

[0034] The present invention has at least the following beneficial effects:

[0035] 1. The early anti-cracking detection device for concrete provided by the present invention includes a data acquisition module and a tampering rod control module. The data acquisition module first collects multiple consecutive frames of tampering area images and the tampering frequency of the tampering rod during the concrete tampering process. The tampering rod control module is used to process the image data of the collected tampering area images, determine the adjusted tampering frequency, and adjust the tampering frequency of the tampering rod during the next tampering process to improve the tampering effect of the tampering rod on the concrete.

[0036] 2. When the tamping rod control module processes the image data of the tamping area, it evaluates the tamping quality of the tamping rod in combination with the uniformity of the particle size and the uniformity of the particle position distribution, obtains the tamping quality evaluation value, and then determines the adjusted tamping frequency. The adjusted tamping frequency is used to tamper the concrete, thereby avoiding the problem of excessive or insufficient tamping interfering with the early crack resistance test of the concrete, and can effectively ensure the accuracy of the subsequent early crack resistance test results of the concrete. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 A schematic diagram of a first axial side view of a concrete early anti-cracking detection device provided by an embodiment of the present invention;

[0039] Figure 2 A schematic diagram of a second axial side view of a concrete early anti-cracking detection device provided by an embodiment of the present invention;

[0040] Figure 3 A flowchart of data processing corresponding to a concrete early anti-cracking detection device provided by an embodiment of the present invention;

[0041] In the figure: 1 is the bottom plate; 2 is the long side plate; 3 is the short side plate; 4 is the crack inducer; 5 is the tampering rod. DETAILED DESCRIPTION

[0042] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, a concrete early anti-cracking detection device proposed according to the present invention is described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0043] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0044] The specific scheme of the early anti-cracking detection device for concrete provided by the present invention is described in detail below with reference to the accompanying drawings.

[0045] An embodiment of a concrete early cracking detection device:

[0046] See also Figure 1, which respectively show a concrete early anti-cracking detection device provided by an embodiment of the present invention, the device includes a tampering rod, a data acquisition module and a tampering rod control module: the data acquisition module is used to obtain a plurality of continuous frames of tampering area images and the tampering frequency of the tampering rod within a preset time period during the concrete tampering process; the tampering rod control module is used to obtain the uniformity of the particle size of each frame of the tampering area image according to the curvature distribution of the edge points in each frame of the tampering area image; the uniformity of the particle position distribution of each frame of the tampering area image is obtained by combining the relative position distribution of the edge line in each frame of the tampering area image and the concrete particle distribution; the tampering quality evaluation value is obtained by combining the uniformity of the particle size and the uniformity of the particle position distribution; the actual tampering time is determined based on the tampering quality evaluation value; the adjusted tampering frequency is obtained according to the difference between the actual tampering time and the preset tampering time and the tampering frequency of the tampering rod within the preset time period, and the tampering frequency of the tampering rod in the next tampering process is adjusted.

[0047] The concrete early anti-cracking detection device provided in this embodiment includes a bottom plate 1, a long side plate 2, a short side plate 3, a crack inducer 4, a tampering rod 5, a data acquisition module and a tampering rod control module. The tampering rod 5 is installed in the gap between two adjacent crack inducers of the early anti-cracking detection device of concrete. The tampering rod moves along the short side plate 3 of the early anti-cracking detection device. The data acquisition module includes a camera for collecting images of the area tampered by the tampering rod. The working principle of the concrete early anti-cracking detection device is as follows: after the prepared concrete is poured on the device, the tampering device is turned on, and the concrete is tampered along the direction of the short plate of the device. During the tampering process, the camera is used to monitor the tampering process, and the tampering effect of each tampering rod on the concrete is obtained, and each tampering rod is adjusted to complete the tampering of the concrete. Figure 1 and Figure 2 As shown, Figure 1 This is the first axial side schematic diagram of the concrete early crack resistance detection device. Figure 2 It is a schematic diagram of the second axis side of the concrete early anti-cracking detection device.

[0048] The specific scenario targeted by this embodiment is: in the process of testing the crack resistance of concrete, the concrete is tamped, and the tamping results are analyzed, the tamping quality is evaluated, and the tamping frequency of the tamping rod in the next tamping process is determined, and then adjusted to ensure the tamping effect of the concrete next time and improve the accuracy of the early crack resistance detection results.

[0049] The data acquisition module is used to obtain continuous multi-frame images of the tamping area and the tamping frequency of the tamping rod within a preset time period during the concrete tamping process.

[0050] In the process of testing the early crack resistance of concrete, the tampering frequency of the tampering rod in the early crack resistance detection device of concrete is first set, and then the concrete is tampered with the tampering rod. During the tampering process, a preset time period is set, and the tampering stops every 30 seconds. The camera is used to collect the image of the tampering area, and then the concrete is continued to be tampered with the tampering rod. The duration of the preset time period in this embodiment is 10 minutes, that is, multiple frames of images of the tampering area are collected; in specific applications, the implementer can set the duration of the preset time period and the duration of each tampering of the tampering rod according to the specific situation. It should be noted that the number of tampering rods in the early crack resistance detection device of concrete is greater than or equal to 1, so there may be multiple tampering areas, and the number of tampering areas is equal to the number of tampering rods. This embodiment takes one tampering rod as an example for explanation, and the method provided in this embodiment can be used to process other tampering rods. It should be noted that the tampering frequency of the tampering rod in the preset time period is a frequency set manually.

[0051] At this point, the data acquisition module has acquired multiple frames of images of the tampering area and the tampering frequency of the tampering stick.

[0052] The tampering rod control module is used to obtain the uniformity of the particle size of each frame of the tampering area image according to the curvature distribution of the edge points in each frame of the tampering area image; obtain the uniformity of the particle position distribution of each frame of the tampering area image by combining the relative position distribution of the edge lines in each frame of the tampering area image and the concrete particle distribution; obtain the tampering quality evaluation value by combining the uniformity of the particle size and the uniformity of the particle position distribution; determine the actual tampering time based on the tampering quality evaluation value; obtain the adjusted tampering frequency according to the difference between the actual tampering time and the preset tampering time and the tampering frequency of the tampering rod in the preset time period, and adjust the tampering frequency of the tampering rod during the next tampering process.

[0053] The tampering rod control module determines the uniformity and particle size characteristics of concrete particles in the tampering area image according to the characteristics presented in the tampering area image, evaluates the necessity of tampering adjustment of the tampering rod, and realizes intelligent control of the tampering process. The purpose of tampering with concrete using a tampering rod is to make the concrete evenly distributed. This distribution uniformity can be presented from the surface image of the concrete. If the current tampering frequency of the tampering rod is appropriate, it means that the mixing uniformity of the concrete is good and the particles on the surface of the image are evenly distributed; on the contrary, if the tampering is not appropriate, the particles of the concrete under the current tampering are unevenly distributed and the uniformity of the concrete is poor. Therefore, the uniformity of the particles on the concrete surface reflects the tampering quality of the tampering rod.

[0054] Next, this embodiment is described by taking a frame of a tinkering area image as an example, and other tinkering area images can be processed by the method provided in this embodiment.

[0055] Specifically, any frame of the tampering area image is recorded as a candidate image, and the Canny edge detection algorithm is used to perform edge detection on the candidate image to obtain multiple edge lines in the candidate image. The Canny edge detection algorithm is a prior art and will not be described in detail here. Each closed edge line in the candidate image is fitted based on a circle to obtain a fitting circle and a curvature of the fitting circle corresponding to each closed edge line in the candidate image; the curvature of the fitting circle corresponding to all closed edge lines in the candidate image constitutes a curvature set; the degree of discreteness of the data in the curvature set is calculated respectively, and the degree of discreteness can be characterized by a variety of indicators, for example: it can be characterized by variance, it can be characterized by range, and it can also be characterized by standard deviation. In this embodiment, the standard deviation is used to characterize, that is, the standard deviation of the data in the curvature set is used as the degree of discreteness of the data in the curvature set. Then, the data in the curvature set is fitted with a normal distribution to obtain a correction determination coefficient; the method for obtaining the correction determination coefficient is a prior art and will not be described in detail here.

[0056] Furthermore, the uniformity of the particle size of the candidate image is obtained according to the correction determination coefficient and the discreteness, the correction determination coefficient is positively correlated with the uniformity of the particle size, and the standard deviation is negatively correlated with the uniformity of the particle size.

[0057] Among them, a positive correlation means that the dependent variable will increase as the independent variable increases, and the dependent variable will decrease as the independent variable decreases. The specific relationship can be a multiplication relationship, an addition relationship, or the power of an exponential function with a value greater than 1 as the base. A negative correlation means that the dependent variable will decrease as the independent variable increases, and the dependent variable will increase as the independent variable decreases. It can be a subtraction relationship, a division relationship, etc., which is determined by actual application.

[0058] In this embodiment, a specific calculation process of the uniformity of the particle size of the candidate image is given: the discrete degree of the data in the curvature set and the sum of the preset adjustment parameters are calculated, and the ratio between the correction determination coefficient and the sum is used as the uniformity of the particle size of the candidate image; the preset adjustment parameter is a constant greater than 0. The preset adjustment parameter is introduced in the calculation process of the uniformity of the particle size to prevent the denominator from being 0. In this embodiment, the preset adjustment parameter is 0.01. In specific applications, the implementer can set it according to specific circumstances.

[0059] If the tampering effect of the tampering stick is appropriate, the density of particles at different positions in the image will be similar, and the particles will be evenly distributed in the image. However, if the frequency of the tampering stick is inappropriate, the density of particles in the image will be significantly different at the tampering position of the same tampering stick.

[0060] Next, this embodiment is described by taking a tinkering area image as an example, and other tinkering area images can be processed using the method provided in this embodiment.

[0061] Specifically, for any fiddled region image:

[0062] The tinkering area image is evenly divided into multiple sub-areas, and the area of ​​each sub-area is equal. In specific applications, the implementer sets the size of the sub-area according to the specific situation. Any closed edge line in the tinkering area image is recorded as a candidate edge line. The center point of the closed area enclosed by the candidate edge line is used as the center of the feature circle; the distance between each edge point on the candidate edge line and the center of the feature circle is obtained as the first distance corresponding to each edge point; the first distances corresponding to all edge points on the candidate edge line constitute a first distance set. For any edge point on the candidate edge line, a circular area with the edge point as the center and each element in the first distance set as the radius is used as the reference area of ​​the edge point; the ratio between the number of reference areas of the edge point and the maximum area of ​​all reference areas of the edge point is used as the density of the edge point.

[0063] For any sub-region in the tinkering region image: calculate the standard deviation of the density of all edge points in the sub-region and the average density of all edge points in the sub-region, the standard deviation of the density of all edge points in the sub-region, the average density of all edge points in the sub-region and the number of all edge points in the sub-region constitute the parameter vector of the sub-region, and the parameter vector has three elements. Using this method, the parameter vector of each sub-region can be obtained.

[0064] The dynamic time warping (DTW) distance between the parameter vector of the sub-region and each other sub-region is obtained respectively. The calculation method of the DTW distance is a prior art and will not be described in detail here. According to the maximum value of the DTW distance between the parameter vectors of the sub-region and other sub-regions, the uniform index corresponding to the sub-region is obtained, and the maximum value of the DTW distance is negatively correlated with the uniform index; in this embodiment, the reciprocal of the maximum value of the DTW distance between the parameter vectors of the sub-region and other sub-regions is used as the difference index of the sub-region. Using this method, the difference index of each sub-region can be obtained. The average value of the difference index of all sub-regions in the tampering region image is used as the uniformity of the particle position distribution of the tampering region image. Different sub-regions in the same tampering region image have a higher consistency of particle distribution, indicating that concrete at different positions have similar particle characteristics, and the tampering effect of the tampering rod is more similar. While the tampering effect is similar, the tampering quality is good, indicating that the parameters of the tampering rod make the tampering of the concrete in a good working state, the tampered concrete quality is good, and there is no obvious phenomenon of insufficient or excessive tampering.

[0065] The product of the uniformity of the particle size and the uniformity of the particle position distribution of each frame of the tampering area image is used as the tampering quality evaluation value corresponding to each frame of the tampering area image.

[0066] The tinkering quality evaluation values ​​corresponding to all tinkering area images within a preset time period are sorted in chronological order to obtain a tinkering quality evaluation value sequence; based on the time corresponding to the tinkering area image corresponding to the first element in the tinkering quality evaluation value sequence that is greater than a preset quality threshold, the duration between this time and the initial tinkering moment is taken as the actual tinkering duration.

[0067] The longer the actual tinkering time is during the tinkering of concrete, the more likely it is that the tinkering time will be severely shortened if the current tinkering frequency is followed. If the tinkering frequency is not adjusted, the concrete will be over-tinkered. Lower the tinkering frequency level and extend the tinkering time. On the contrary, if the actual tinkering time is less than the preset tinkering time, it means that the tinkering quality of concrete within the preset time period does not meet the tinkering quality requirements of concrete, and it is necessary to increase the tinkering frequency of the tinkering rod and extend the tinkering time.

[0068] If the actual tinkering time is greater than or equal to the preset tinkering time, the difference between the maximum value of the tinkering frequency of the tinkering rod and the tinkering frequency of the tinkering rod in the preset time period is recorded as the first frequency difference; the normalized result of the difference between the actual tinkering time and the preset tinkering time is recorded as the first adjustment factor; the product of the first frequency difference and the first adjustment factor is recorded as the first product, and the sum of the tinkering frequency of the tinkering rod in the preset time period and the first product is used as the adjusted tinkering frequency. If the actual tinkering time is less than the preset tinkering time, the difference between the minimum value of the tinkering frequency of the tinkering rod and the tinkering frequency of the tinkering rod in the preset time period is recorded as the second frequency difference; the product of the second frequency difference and the first adjustment factor is recorded as the second product, and the difference between the tinkering frequency of the tinkering rod in the preset time period and the second product is used as the adjusted tinkering frequency. The preset tinkering time is the theoretical time required to complete concrete tinkering, and the implementer sets it according to the specific situation.

[0069] The specific calculation formula for the adjusted tinkering frequency is:

[0070]

[0071] Among them, f ′ represents the adjusted tinkering frequency, f front represents the tinkering frequency of the tinker stick within a preset time period, t represents the actual tinkering duration, T0 represents the preset tinkering duration, f1 represents the minimum tinkering frequency of the tinker stick, f2 represents the maximum tinkering frequency of the tinker stick, and norm() represents the normalization function.

[0072] f2-f front represents the first frequency difference, norm(t-T0) represents the first adjustment factor, norm(t-T0)×(f2-f front ) represents the first product, f front -f1 represents the second frequency difference, norm(T0-t)×(f front -f1) represents the second product.

[0073] After obtaining the adjusted tampering frequency, the adjusted tampering frequency is transmitted to the corresponding tampering rod, and the tampering rod uses the adjusted tampering frequency to complete the tampering of the concrete. Figure 3 As shown, this figure is a flow chart of data processing corresponding to a concrete early anti-cracking detection device.

[0074] So far, the method provided in this embodiment has been used to complete the tinkering process in the early anti-cracking detection process of concrete.

[0075] The concrete early crack resistance detection device provided in this embodiment includes a data acquisition module and a tampering rod control module. The data acquisition module first collects multiple consecutive frames of tampering area images and the tampering frequency of the tampering rod during the concrete tampering process. The tampering rod control module is used to process the collected tampering area images, determine the adjusted tampering frequency, and adjust the tampering frequency of the tampering rod during the next tampering process to improve the tampering effect of the tampering rod on the concrete. When the tampering rod control module processes the image data of the tampering area image, it evaluates the tampering quality of the tampering rod in combination with the uniformity of particle size and the uniformity of particle position distribution, obtains the tampering quality evaluation value, and then determines the adjusted tampering frequency. The adjusted tampering frequency is used to tamper the concrete, thereby avoiding the problem of excessive tampering or insufficient tampering interfering with the detection of the early crack resistance of concrete, and can effectively improve the accuracy of subsequent detection results of the early crack resistance of concrete.

[0076] It should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A concrete early crack detection device, characterized in that: The concrete early cracking detection device includes a tampering rod, a data acquisition module and a tampering rod control module: The data acquisition module is used to obtain multiple consecutive frames of tampering area images and the tampering frequency of the tampering rod during the concrete tampering process within a preset time period; The tampering rod control module is used to obtain the uniformity of the particle size of each frame of the tampering area image according to the curvature distribution of the edge points in each frame of the tampering area image; The uniformity of the particle position distribution of each frame of the tampering area image is obtained by combining the relative position distribution of the edge line in each frame of the tampering area image and the distribution of concrete particles; the tampering quality evaluation value is obtained by combining the uniformity of the particle size and the uniformity of the particle position distribution; the actual tampering time is determined based on the tampering quality evaluation value; the adjusted tampering frequency is obtained according to the difference between the actual tampering time and the preset tampering time and the tampering frequency of the tampering rod in the preset time period, and the tampering frequency of the tampering rod in the next tampering process is adjusted; The uniformity of particle size and the uniformity of particle position distribution are combined to obtain a tampering quality evaluation value, including: The product of the uniformity of the particle size of each frame of the tampering area image and the uniformity of the particle position distribution is used as the tampering quality evaluation value corresponding to each frame of the tampering area image; The step of obtaining the adjusted tinkering frequency according to the difference between the actual tinkering duration and the preset tinkering duration and the tinkering frequency of the tinkering stick within the preset time period includes: If the actual tinkering time is greater than or equal to the preset tinkering time, the difference between the maximum value of the tinkering frequency of the tinkering stick and the tinkering frequency of the tinkering stick in the preset time period is recorded as a first frequency difference; the normalized result of the difference between the actual tinkering time and the preset tinkering time is recorded as a first adjustment factor; the product of the first frequency difference and the first adjustment factor is recorded as a first product, and the sum of the tinkering frequency of the tinkering stick in the preset time period and the first product is recorded as the adjusted tinkering frequency; If the actual tinkering time is less than the preset tinkering time, the difference between the minimum value of the tinkering frequency of the tinkering stick and the tinkering frequency of the tinkering stick within the preset time period is recorded as the second frequency difference; the product of the second frequency difference and the first adjustment factor is recorded as the second product, and the difference between the tinkering frequency of the tinkering stick within the preset time period and the second product is used as the adjusted tinkering frequency.

2. A concrete early crack detection device according to claim 1, characterized in that: The step of obtaining the uniformity of the particle size of each frame of the tampering area image according to the curvature distribution of the edge points in each frame of the tampering area image comprises: Obtaining a fitting circle and a curvature of the fitting circle corresponding to each closed edge line in the candidate image; the curvatures of the fitting circles corresponding to all closed edge lines in the candidate image constitute a curvature set; calculating the discreteness of the data in the curvature set respectively; fitting the data in the curvature set to obtain a correction determination coefficient; According to the correction determination coefficient and the discrete degree, the uniformity of the particle size of the candidate image is obtained, wherein the correction determination coefficient is positively correlated with the uniformity of the particle size, and the discrete degree is negatively correlated with the uniformity of the particle size; The candidate image is any frame of the tampering area image.

3. A concrete early crack detection device according to claim 1, characterized in that: The method of comprehensively analyzing the relative position distribution of edge lines and the concrete particle distribution in each frame of the tampering area image to obtain the uniformity of the particle position distribution in each frame of the tampering area image includes: For any fiddle region image: The center point of the closed area enclosed by the candidate edge line is respectively used as the center of the feature circle; the distance between each edge point on the candidate edge line and the center of the feature circle is respectively obtained as the first distance corresponding to each edge point; the first distances corresponding to all edge points on the candidate edge line constitute a first distance set; For any edge point on the candidate edge line, a circular area with the edge point as the center and each element in the first distance set as the radius is used as the reference area of ​​the edge point; the ratio between the number of reference areas of the edge point and the maximum area of ​​all reference areas of the edge point is used as the density of the edge point; the candidate edge line is any closed edge line in the tinkering area image; Obtaining a uniformity index corresponding to each sub-region in the tinkering region image according to the distribution of the density of edge points in each sub-region and other sub-regions in the tinkering region image; the sub-regions are obtained by dividing the tinkering region image; According to the overall distribution of uniformity indexes corresponding to all sub-regions in the tinkering region image, the uniformity of particle position distribution of the tinkering region image is obtained.

4. A concrete early crack detection device according to claim 3, characterized in that: The obtaining of a uniformity index corresponding to each sub-region in the tinkering region image according to the distribution of the density of edge points in each sub-region and other sub-regions in the tinkering region image includes: For any sub-region in the tinkering region image: According to the maximum value of the DTW distance between the parameter vectors of the sub-region and other sub-regions, the uniformity index corresponding to the sub-region is obtained, and the maximum value of the DTW distance is negatively correlated with the uniformity index; the parameter vector is composed of the standard deviation of the density of all edge points in the sub-region, the average value of the density of all edge points in the sub-region, and the number of all edge points in the sub-region.

5. A concrete early crack detection device according to claim 3, characterized in that: The step of obtaining the uniformity of particle position distribution of the tinkering region image according to the overall distribution of uniformity indicators corresponding to all sub-regions in the tinkering region image comprises: The average value of the difference indexes of all sub-regions in the tinkering region image is taken as the uniformity of the particle position distribution of the tinkering region image.

6. A concrete early crack detection device according to claim 1, characterized in that: The determining of the actual fiddling time based on the fiddling quality evaluation value includes: The tinkering quality evaluation values ​​corresponding to all tinkering area images within a preset time period are sorted in chronological order to obtain a tinkering quality evaluation value sequence; the actual tinkering duration is determined based on the time corresponding to the tinkering area image corresponding to the first element in the tinkering quality evaluation value sequence that is greater than a preset quality threshold.

7. A concrete early crack detection device according to claim 2, characterized in that: The step of obtaining the uniformity of the particle size of the candidate image according to the correction determination coefficient and the discrete degree includes: The discrete degree of the data in the curvature set and the sum of a preset adjustment parameter are calculated, and the ratio between the correction determination coefficient and the sum is used as the uniformity of the particle size of the candidate image; the preset adjustment parameter is a constant greater than 0.

8. A concrete early crack detection device according to claim 2, characterized in that: The acquisition of the discrete degree of the data in the curvature set includes: The standard deviation of the data in the curvature set is taken as the degree of dispersion of the data in the curvature set.

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