A device for treating wall cracks in building construction

Abstract

The present invention relates to the technical field of crack treatment, and particularly relates to a device for treating wall cracks in building construction. The device includes a crack treatment device body, and the crack treatment equipment further includes a grinding device, a camera module, and a crack analysis controller; the camera module is used to acquire wall crack images, and the crack analysis controller is used to determine the width value of the widened crack by performing crack identification and analysis on the wall crack images, and finally output a control instruction to the grinding device according to the width value of the widened crack to control the grinding device to act and perform widening treatment on the crack area in the wall crack images. Adaptive widening treatment of the crack area is realized by analyzing the edge shape and width of the crack, so as to ensure good bonding between the material and the wall during the crack filling process.

Description

Technical Field

[0001] The present invention relates to the technical field of crack treatment, and particularly relates to a device for treating wall cracks in building construction. Background Art

[0002] In the field of building construction, wall cracks are a common problem. Wall cracks not only affect the aesthetics of the building but may also affect the structural stability. The causes of wall structures are diverse, including but not limited to the selection of construction materials, the design of load-bearing structures, the influence of environmental factors, etc. With the development of technology, the construction industry has begun to explore intelligent and automated solutions to address the problem of wall cracks.

[0003] Existing devices for treating wall cracks in building construction repair wall cracks by squeezing repair materials in a receiving bin with a squeezing piston on an operating arm. However, due to the different widths of cracks, different repair operations are required. When the crack is narrow and the aesthetic requirement is high, directly filling the crack cannot ensure good adhesion between the material and the wall. Therefore, usually, a slot widening treatment is required, and the existing equipment cannot perform different repair operations according to the width of the crack. Summary of the Invention

[0004] In order to solve the technical problem of being unable to perform different repair operations according to the width of the crack, the purpose of the present invention is to provide a device for treating wall cracks in building construction, and the specific technical solution adopted is as follows:

[0005] In a first aspect, an embodiment of the present invention provides a crack treatment device body, the crack treatment device body includes a crack treatment device, and the crack treatment device further includes a grinding device, a camera module, and a crack analysis controller;

[0006] The signal output end of the camera module is connected to the crack analysis controller, and the signal output end of the crack analysis controller is connected to the signal input end of the grinding device, and the grinding device is used for grinding wall cracks;

[0007] The camera module is used to acquire wall crack images and output them to the crack analysis controller; the crack analysis controller is used to determine dispersed defect regions according to the continuity of longitudinally suspected defect regions in the wall crack images; merge the dispersed defect regions to obtain defect regions to be analyzed; determine the true retention degree of the defect regions to be analyzed according to the linear characteristics of the cracks and the shape characteristics of being long and narrow; perform local enhancement on the wall crack images based on the true retention degree to obtain enhanced crack images; detect the crack regions in the enhanced crack images; analyze the crack widths of the crack regions to obtain widened crack width values; and output control instructions to the grinding device according to the widened crack width values to control the action of the grinding device and perform widening treatment on the crack regions in the wall crack images.

[0008] Preferably, the determining of the dispersed defect regions according to the continuity of longitudinally suspected defect regions in the wall crack images includes:

[0009] Pixels with pixel values less than the pixel value mean in each column are recorded as suspected target pixels, and suspected defect regions are formed by suspected target pixels with continuous row indexes in the same column of the wall crack images; the initial retention degree of the suspected defect regions is determined according to the continuity of the suspected defect regions between adjacent columns in the wall crack images; and the dispersed defect regions are screened out according to the initial retention degree.

[0010] Preferably, the determining of the initial retention degree of the suspected defect regions according to the continuity of the suspected defect regions between adjacent columns in the wall crack images includes:

[0011] The initial retention degree of the suspected defect regions is determined according to the difference in the positions of the suspected defect regions between adjacent columns and the difference in the lengths of the suspected defect regions; wherein, both the difference in the positions of the suspected defect regions and the difference in the lengths are positively correlated with the initial retention degree.

[0012] Preferably, the screening out of the dispersed defect regions according to the initial retention degree includes:

[0013] The suspected defect regions with an initial retention degree greater than a preset first threshold are used as the dispersed defect regions.

[0014] Preferably, the merging of the dispersed defect regions to obtain the defect regions to be analyzed includes:

[0015] Two dispersed defect regions with the difference in the head and tail row indexes in the same column belonging to the normal range are merged to obtain the defect regions to be analyzed.

[0016] Preferably, the determining of the true retention degree of the defect regions to be analyzed according to the linear characteristics of the cracks and the shape characteristics of being long and narrow includes:

[0017] Compare the grayscale mean of the current defect area to be analyzed with the grayscale means of all defect areas to be analyzed, and determine the linear eigenvalue of the current defect area to be analyzed;

[0018] Analyze the length ratio of the current defect area to be analyzed, and determine the shape eigenvalue of the current defect area to be analyzed;

[0019] Combine the linear eigenvalue and the shape eigenvalue to determine the true retention degree of the defect area to be analyzed.

[0020] Preferably, the local enhancement of the wall crack image based on the true retention degree to obtain an enhanced crack image includes:

[0021] Obtain the defect areas to be analyzed with a true retention degree greater than a preset true threshold, and denote them as true retention areas;

[0022] Perform linear enhancement on the true retention areas, and perform linear weakening on other areas except the true retention areas to obtain an enhanced crack image.

[0023] Preferably, the analysis of the crack width of the crack area to obtain an expanded crack width value includes:

[0024] Obtain multiple width values of the crack area; perform clustering on the width values to obtain clustering clusters, and determine the possibility of expanded crack treatment for each clustering cluster;

[0025] When the possibility of expanded crack treatment corresponding to the crack area is greater than 0, determine the expanded crack width value according to the width value of the crack area and the possibility of expanded crack treatment.

[0026] Preferably, the determination of the expanded crack width value according to the width value of the crack area and the possibility of expanded crack treatment includes:

[0027] Use the possibility of expanded crack treatment as a weight value to weight the difference between the maximum width value and the mean value of the width values of the crack area to obtain the expanded crack width value.

[0028] Preferably, the grinding device further includes: an electric angle grinder and a hair dryer, and the hair dryer is used to clean small particles in the groove after crack expansion in the crack area.

[0029] In a second aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor. An executable code is stored in the memory, and when the processor executes the executable code, the embodiments of all possible implementations in the first aspect are implemented.

[0030] In a third aspect, an embodiment of the present invention provides a computer program product, which includes computer program code that, when running on a computer, causes the computer to execute the method in the first aspect or any possible implementation manner of the first aspect.

[0031] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed on a computer, the computer is caused to execute each possible implementation embodiment of the first aspect.

[0032] The embodiments of the present invention have at least the following beneficial effects:

[0033] Since the crack area appears as a low pixel gray value in the image and is lower than the peeling area and the normal area of the wall surface, and at the same time, due to the shape of the crack usually being long and narrow and having a certain continuity; and there is no obvious continuity and regularity in the peeling and normal areas of the wall surface compared with the cracks. Therefore, first in the present invention, the continuity analysis of the wall crack image is performed to obtain a scattered defect area that may be in a scattered state. Since the scattered defect area has a certain locality and may mix some areas that do not need to be retained, the scattered defect area is first merged to obtain a defect area to be analyzed. Further, by analyzing the linear feature and the long and narrow shape feature of the crack, the true retention degree of the defect area to be analyzed is determined. The true retention degree reflects the probability that the currently analyzed area is a crack area. The wall crack image can be locally enhanced through the true retention degree, realizing only the enhancement of the crack area. The enhanced crack image can better highlight the crack area in the image and avoid the influence of other noises on crack recognition. Finally, the adaptive crack widening process of the crack area is realized by analyzing the edge shape and the crack width of the crack, so as to ensure good bonding between the material and the wall surface during the crack filling process. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0035] Figure 1 The second isometric schematic diagram of the overall building construction wall crack treatment device provided by an embodiment of the present invention;

[0036] Figure 2 The partial structure enlarged schematic diagram of a building construction wall crack treatment device provided by an embodiment of the present invention;

[0037] Figure 3 The flowchart of the method for the crack analysis controller to analyze and process the crack condition of the wall crack image in a wall crack treatment device provided by an embodiment of the present invention;

[0038] Figure 4 The flowchart of the method for obtaining the dispersed defect area provided by an embodiment of the present invention;

[0039] Figure 5 The structural schematic diagram of a computer device provided by an embodiment of the present invention;

[0040] The reference numerals in the figure are: 11, base; 12, hollow column; 14, vertical lifting platform; 23, connecting rod; 24, positioning end; 31, accommodating chamber; 32, extrusion piston; 33, telescopic driver; 34, pressing plate; 35, scraping edge; 41, electric angle grinder; 42, hair dryer; 43, camera; 51, crack analysis controller. Detailed implementation manners

[0041] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation manners, structures, features and effects of a wall crack treatment device for building construction proposed according to the present invention.

[0042] In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0043] Among them, in the description of the embodiments of the present invention, unless otherwise specified, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present invention, "a plurality" means two or more than two.

[0044] Hereinafter, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as implying or suggesting relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features.

[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0046] The embodiments of the present invention will be described below with reference to the accompanying drawings. As is known to those of ordinary skill in the art, with the development of technology and the emergence of new scenarios, the technical solutions provided by the embodiments of the present invention are equally applicable to similar technical problems.

[0047] The embodiments of the present invention provide a specific implementation method for a device for treating wall cracks in building construction. This method is applicable to the building construction scenario. In this scenario, the device for treating wall cracks in building construction involved in the present invention is used for treatment. The device for treating wall cracks in building construction adds a grinding device, a camera module, and a crack analysis controller 51 on the basis of the traditional crack treatment device. The grinding device includes an electric angle grinder 41 and a hair dryer 42, which are used to grind the wall cracks to achieve the function of widening the cracks. The present invention also installs a crack treatment device on the body of the crack treatment device. The crack treatment device is used to monitor whether the wall cracks need to be widened and the width value of the widened crack, and to control the grinding device to perform the widening treatment. The crack treatment device also includes a grinding device, a camera module, and a crack analysis controller. Among them, the camera module is linked to the crack analysis controller.

[0048] The camera module includes a camera 43, which is used to obtain the wall crack image and input it into the crack analysis controller to determine the width value of the widened crack. By analyzing the wall crack image, the severity of the wall crack is determined, so as to determine whether to widen the crack. This ensures good adhesion between the material and the wall during the crack filling process.

[0049] The electric angle grinder 41 is used to widen the wall cracks. The cracks are widened into V-shaped or U-shaped grooves to increase the bonding area of the repair material.

[0050] The hair dryer 42 is used to remove the fine particles in the groove after widening the crack, ensuring good adhesion of the subsequent repair material.

[0051] The crack analysis controller 51 is used for data processing and machine control. The chip type is FPGA, or it can also be a PLC controller. It receives the information of the camera module and controls the grinding device.

[0052] It should be noted that the camera module, the electric angle grinder, the hair dryer, and the crack analysis controller can be wirelessly connected to achieve wireless transmission, or they can also be connected by wires.

[0053] Please refer to Figure 1 , Figure 1 which is the second isometric view of the whole device for treating wall cracks in building construction; Figure 1 In it, 11 is the base, 12 is the hollow column, 14 is the vertical lifting platform, 23 is the connecting rod, and 51 is the crack analysis controller.

[0054] Please refer to Figure 2, Figure 2 It is an enlarged schematic diagram of a partial structure of a device for treating wall cracks in building construction. Figure 2 In it, 23 is a connecting rod, 24 is a positioning end, 31 is a receiving bin, 32 is an extrusion piston, 33 is a telescopic driver, 34 is a pressing plate, 35 is a scraping edge, 41 is an electric angle grinder, 42 is a hair dryer, and 43 is a camera.

[0055] The overall introduction of a device for treating wall cracks in building construction is as follows: The main body of the supporting component of the device is a vertical lifting platform 14, the main body of the positioning component is a horizontal sliding platform, and the main body of the glue pressing component is an extrusion piston 32. The horizontal sliding platform is installed on the vertical lifting platform 14, a receiving bin 31 is installed on the positioning end 24 on the horizontal sliding platform, repair materials are installed in the receiving bin 31, the extrusion piston 32 is slidably installed on the side of the receiving bin 31 away from the wall, and the end of the extrusion piston 32 abuts against the repair materials. A driving component for controlling the movement of the extrusion piston 32 is installed on the positioning end 24. The main body of the driving component is a telescopic driver 33. A pressing plate 34 is installed on the movable end of the telescopic driver 33, and the pressing plate 34 abuts against the end of the extrusion piston 32 away from the receiving bin 31. A conical surface and an extrusion port are provided on the side of the receiving bin 31 close to the wall. The telescopic driver 33 can be an electric telescopic rod or a hydraulic cylinder. By starting the telescopic driver 33, the extrusion piston 32 is driven to move in the receiving bin 31, so that the extrusion piston 32 extrudes the repair materials from the extrusion port into the wall cracks to repair the building wall. An electric angle grinder 41 is installed below the scraping edge 35 and is connected to the connecting rod 23. A hair dryer 42 is installed below the electric angle grinder 41. A camera 43 is installed below the hair dryer 42. Among them, the crack analysis controller 51 is installed on the base 11 to receive and send instructions.

[0056] The following specifically describes the specific solution of a device for treating wall cracks in building construction provided by the present invention with reference to the accompanying drawings.

[0057] Please refer to Figure 3 , which shows a method flow chart for analyzing and processing the crack condition of a wall crack image by a crack analysis controller in a device for treating wall cracks in building construction provided by an embodiment of the present invention. The method includes the following steps:

[0058] Step S100, determine the scattered defect areas according to the continuity of the longitudinally suspected defect areas in the wall crack image; merge the scattered defect areas to obtain the defect areas to be analyzed.

[0059] After transmitting the acquired wall crack image to the background server, the crack is analyzed. First, the acquired wall crack image is grayscale processed. As a preferred embodiment of the present invention, the wall crack image can also be directly acquired, wherein the wall crack image is a grayscale image. If the Sobel edge detection method is directly used to detect the edge information in the grayscale image, since building construction walls usually use cement mortar, etc., the flatness of the wall is relatively poor. Therefore, directly using Sobel edge detection to detect the crack edge will result in relatively messy edge information detected in the image, making it difficult to accurately determine the true width of the crack.

[0060] Therefore, in the embodiment of the present invention, first, the acquired wall crack image is enhanced. The purpose is to remove the influence of the messy edges in the image on the true crack edge and enhance the characteristic information of the true crack edge.

[0061] Since the crack area appears as a low-pixel grayscale value in the image and is lower than the peeling area and the normal area of the wall, and at the same time, due to the shape of the crack usually being narrow and long with a certain continuity. Therefore, column analysis is performed on the wall crack image, that is, longitudinal analysis is performed on the wall crack image. Specifically: according to the continuity of the longitudinal suspected defect areas in the wall crack image, the scattered defect areas are determined; the scattered defect areas are merged to obtain the defect area to be analyzed.

[0062] According to the continuity of the suspected defect areas between adjacent columns in the wall crack image, the initial retention degree of the suspected defect areas is determined. When the continuity of the suspected defect area is better, that is, the probability that the suspected defect area is a true crack area is relatively large, because non-crack areas may be some messy edges that are usually distributed unevenly and have poor continuity.

[0063] Therefore, first, according to the continuity of the longitudinal suspected defect areas in the wall crack image, the scattered defect areas are determined. The specific steps are as follows: the pixel points in each column with pixel values less than the pixel value mean are recorded as suspected target pixel points, and the suspected defect areas are composed of the suspected target pixel points with continuous row indexes in the same column of the wall crack image; according to the continuity of the suspected defect areas between adjacent columns in the wall crack image, the initial retention degree of the suspected defect areas is determined; the scattered defect areas are screened out according to the initial retention degree. The initial retention degree reflects the continuity of the suspected defect areas.

[0064] After determining the initial retention degree by analyzing the continuity features, the scattered defect areas are screened according to the initial retention degree. The greater the initial retention degree, the more it reflects the continuity of the current suspected defect area and the correlation between the suspected defect areas in the current column and those in the adjacent columns. The stronger the correlation between the suspected defect areas in two columns, the more the corresponding suspected defect area can reflect the characteristics of the crack. Therefore, the suspected defect areas with larger initial retention degrees are screened out as the scattered defect areas.

[0065] Please refer to Figure 4 , Figure 4 which is the flowchart of the method for obtaining the scattered defect areas. Specifically:

[0066] Step S110, determine the initial retention degree of the suspected defect area according to the continuity of the suspected defect areas between adjacent columns in the wall crack image.

[0067] More specifically: Determine the initial retention degree of the suspected defect area according to the difference in the positions of the suspected defect areas between adjacent columns and the difference in the lengths of the suspected defect areas.

[0068] It should be noted that the row index is also the serial number of the row where the pixel point is located. For example, it can be specified that the row index starts from the top of the wall crack image. Therefore, the row indices of the pixel points in the first row counted from top to bottom in the wall crack image are all 1; the row indices are continuous, which means the serial numbers of the row indices corresponding to the pixel points are continuous.

[0069] Starting from the first column, calculate the correlation degree of all suspected defect areas in the first column and the second column. Since there is no obvious continuity and regularity in the peeling and normal areas on the wall compared with the cracks. Therefore, the initial retention degree of the suspected defect area can be determined by comparing the correlation degree of the suspected defect areas in two adjacent columns. Among them, the more similar the index range or index position and area length of the suspected defect areas in two adjacent columns, the more similar the positions and lengths of the two suspected target areas are, and the higher the possibility that it is a crack area, and the higher the corresponding initial retention degree.

[0070] First, take the j-th suspected defect area in the i-th column as an example, calculate the initial retention degree of the j-th suspected defect area in the i-th column and each suspected defect area in the (i + 1)-th column, and obtain the maximum initial retention degree as the final initial retention degree of the j-th suspected defect area in the i-th column.

[0071] Taking the j-th suspected defect area in the i-th column and the k-th suspected defect area in the (i + 1)-th column as an example, the calculation formula for the corresponding initial retention degree is:

[0072] ;

[0073] Among them, is the initial retention degree of the j-th suspected defect area in the i-th column and the k-th suspected defect area in the (i + 1)-th column; exp is the exponential function with the natural constant as the base; is the mean value of the row indices of the j-th suspected defect area in the i-th column; is the mean value of the row indices of the k-th suspected defect area in the (i + 1)-th column; is the length of the j-th suspected defect area in the i-th column; is the length of the k-th suspected defect area in the (i + 1)-th column.

[0074] Step S120, screening out the scattered defect areas according to the initial retention degree.

[0075] The initial retention degree of each suspected defect area in each column can be calculated. Since the initial retention degree reflects the continuity of the suspected defect area, the greater the initial retention degree of the suspected defect area, the greater the probability that it is a crack area. Therefore, the areas with larger initial retention degrees are retained and denoted as scattered defect areas. Specifically: the suspected defect areas with initial retention degrees greater than the preset first threshold are used as scattered defect areas. In the embodiment of the present invention, the value of the preset first threshold is 0.7, and in other embodiments, the implementer adjusts this value according to the actual situation.

[0076] Since the scattered defect areas calculated by analyzing the continuity of the areas have a certain locality, and some areas that do not need to be retained may be mixed in. Therefore, all the retained scattered defect areas can be analyzed as a whole to determine. Specifically, the mergeable areas among all the retained scattered defect areas are merged. That is, after obtaining the scattered defect areas, the scattered defect areas are merged to obtain the defect areas to be analyzed. Specifically: two scattered defect areas in the same column whose difference in the head and tail row indices belongs to the normal range are merged to obtain the defect areas to be analyzed. In the embodiment of the present invention, the normal range is [0, 3], that is, when the difference between the head and tail row indices of two scattered defect areas is less than 3, it means that these two scattered defect areas can be merged.

[0077] Normally, all the scattered defect areas obtained according to the initial retention degree can be merged, but since there may be some wall peeling areas similar to the crack areas mixed in. Therefore, these areas will not be merged during the merging process.

[0078] Step S200, determining the true retention degree of the defect areas to be analyzed according to the linear feature of the crack and the shape feature of being long and narrow; locally enhancing the wall crack image based on the true retention degree to obtain an enhanced crack image.

[0079] Since cracks usually exhibit linear and narrow characteristics, the shape of the crack is close to a rectangle. Therefore, based on these two characteristics of the crack, the linear feature and the narrow and long shape feature, the true retention degree of the defect area to be analyzed is determined. This true retention degree can more accurately reflect the probability that the defect area to be analyzed is a crack area.

[0080] In some embodiments of the present invention, the method for obtaining the true retention degree of the defect area to be analyzed is as follows: compare the gray-scale mean value of the current defect area to be analyzed with the gray-scale mean values of all defect areas to be analyzed to determine the linear feature value of the current defect area to be analyzed; analyze the length ratio of the current defect area to be analyzed to determine the shape feature value of the current defect area to be analyzed; combine the linear feature value and the shape feature value to determine the true retention degree of the defect area to be analyzed. Among them, the linear feature value reflects the linear feature of the crack, and the shape feature value reflects the narrow and long shape feature of the crack.

[0081] Taking the true retention degree of the m-th defect area to be analyzed as an example, the calculation formula for this true retention degree is: ; where norm is the normalization function; represents the gray-scale mean value of the pixel points of the m-th defect area to be analyzed. represents the gray-scale mean value of all defect areas to be analyzed; is the area of the circumscribed rectangle of the m-th defect area to be analyzed; is the area of the m-th defect area to be analyzed; is the linear feature value of the m-th defect area to be analyzed; is the shape feature value of the m-th defect area to be analyzed. Adding 1 after is to avoid the denominator being 0.

[0082] The true retention degree of each defect area to be analyzed is determined, and the defect areas to be analyzed with a true retention degree greater than the preset true threshold are obtained and recorded as the true retention areas. In the embodiments of the present invention, the value of the true retention degree is 0.7, and in other embodiments, the implementer can also adjust this value according to the actual situation. Linear enhancement is performed on the true retention areas, and linear weakening is performed on other areas except the true retention areas to obtain an enhanced crack image. More specifically: perform linear enhancement processing with a coefficient of 0.5 on the true retention areas, and perform linear weakening processing with a coefficient of -0.5 on other areas except the true retention areas.

[0083] Step S300, detect the crack area in the enhanced crack image; analyze the crack width of the crack area to obtain the widened crack width value.

[0084] The enhanced crack image can highlight the crack area in the image more effectively compared to the original wall crack image, avoiding the influence of other noises on crack recognition.

[0085] Detect the enhanced crack image to obtain the crack area. Specifically: Apply the Sobel method again to the enhanced crack image for edge detection, and the connected domain formed by the detected edge lines is regarded as the crack area. Then, the edge shape of the crack can be obtained more completely, avoiding the influence of other messy edges on the true edge of the crack.

[0086] According to the above steps, the crack edge features in the obtained enhanced crack image can be calculated, and thus multiple connected domains can be obtained, with each connected domain being a crack area.

[0087] Furthermore, directly calculate the width information of the connected domain to determine the width characteristics of the crack. Since the width information varies in each crack area, the degree of crack widening required for different small areas in each crack area is also different. Therefore, it is first necessary to divide each crack area into small areas according to the variation of the width information.

[0088] Obtain multiple width values of the crack area; cluster the width values to get clustering clusters, and determine the possibility of crack widening treatment for each clustering cluster.

[0089] Suppose there are N crack areas in total. For the nth crack area, first calculate its circumscribed rectangle; then, taking the direction of the width of the circumscribed rectangle as the reference direction, calculate the distance between two edge pixel points within the crack area in this direction. This distance is quantified using the Euclidean distance. Denote the calculated Euclidean distance as the width of the crack in the direction of the two edge pixel points. Suppose a total of R width values are calculated.

[0090] Then use the K-means clustering algorithm to cluster all R width values. Among them, the number of clustering clusters K is determined according to the silhouette coefficient method (prior art). For example, a total of K clustering clusters are obtained, and the width information of the cracks in each cluster is relatively similar. For the width information in the s-th clustering cluster, mark all the edge pixel points it contains on the image, and regard all the pixel points within the range formed by the continuous edge points as a width adjustment area. Then, multiple width adjustment areas can be obtained. For all width adjustment areas in the s-th clustering cluster, the formula for calculating the possibility of crack widening treatment is: ; where is the possibility of crack widening treatment for the s-th clustering cluster; is the mean value of the width values in the s-th clustering cluster; is the minimum width for the preset crack widening treatment. In the embodiments of the present invention, the minimum width for the preset crack widening treatment can be empirically set to 3 millimeters (mm). In other embodiments, the implementer can adjust this value according to the actual situation.

[0091] If the possibility of crack widening treatment for the s-th clustering cluster is greater than 0, it means that all width adjustment areas in the s-th clustering cluster need to be subjected to crack widening treatment. And the larger the value, the higher the degree of crack widening treatment required. Then, according to the calculated value, determine the width value of the crack widening to avoid over-widening or insufficient widening of the crack. If the value is less than 0, no crack widening treatment is required, and the crack filling treatment can be directly carried out.

[0092] That is, when the possibility of crack widening treatment corresponding to the crack area is greater than 0, determine the crack widening width value according to the width value of the crack area. Using the possibility of crack widening treatment as the weight value, weight the difference between the maximum width value and the average value of the width values of the crack area to obtain the crack widening width value.

[0093] In an embodiment of the present invention, the calculation formula for the crack widening width value is: ; where is the crack widening width value of the s-th clustering cluster; norm is the normalization function; is the possibility of crack widening treatment for the s-th clustering cluster; is the maximum width value of the crack area during crack widening treatment; is the average value of the width values in the s-th clustering cluster.

[0094] The greater the possibility of crack widening treatment for the s-th clustering cluster , the greater the crack widening width value required for all width adjustment areas in the s-th clustering cluster.

[0095] For the width adjustment areas in all clusters, the required crack widening width value can be calculated.

[0096] Output a control command to the grinding device according to the calculated crack widening width value to control the operation of the grinding device and perform crack widening treatment on the crack area corresponding to the wall crack image.

[0097] The grinding device further includes: an electric angle grinder 41 and a hair dryer 42. The hair dryer 42 is used to clean the small particles ground in the crack area. Then start the electric angle grinder 41 to perform crack widening treatment on each crack area according to the width adjustment area divided from the leftmost crack in the image.

[0098] That is, after the slot widening treatment is completed for a certain crack area, the hair dryer 42 is then started to clean the small particles in this area. After the cleaning is completed, the electric angle grinder 41 moves to the next crack area to continue the slot widening treatment until all areas are processed. As a preferred embodiment of the present invention, the extrusion piston 32 can also be driven to extrude the repair material in the accommodation bin to fill the crack. After the filling treatment is completed, the filled repair material is then leveled by a squeegee, ensuring the surface flatness of the wall. Thus, the filling treatment of the wall cracks in the building construction can be completed according to the above operations.

[0099] Optionally, the transmission medium can be a wired link, such as but not limited to, coaxial cable, optical fiber, digital subscriber line, etc., or a wireless link, such as but not limited to, Wireless Fidelity (WIFI), Bluetooth, mobile device network, etc.

[0100] It should be noted that: for the device provided in the above embodiment, only the above division of each functional module is used for illustration. In practical applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the computer device is divided into different functional modules to complete all or part of the functions described above. In addition, the shopping guide device provided in the above embodiment and the image extension method embodiment belong to the same concept. For the specific implementation process, please refer to the method embodiment, which will not be elaborated here.

[0101] Figure 5 is a schematic structural diagram of a computer device provided by an embodiment of the present invention. Exemplarily, as Figure 5 shown, the computer device 400 includes: a memory 410, a processor 420, and a computer program 430 stored in the memory 410 and running on the processor 420. Among them, when the processor 420 executes the computer program 430, the computer device can execute any one of the above-described building construction wall crack treatment devices.

[0102] An embodiment of the present invention also provides a computer-readable storage medium. Computer program code is stored in the computer-readable storage medium. When the computer program code runs on a computer, the computer is enabled to execute the above-related method steps to implement a building construction wall crack treatment device provided by the above embodiment.

[0103] An embodiment of the present invention also provides a computer program product. When the computer program product runs on a computer, the computer is enabled to execute the above-related steps to implement a building construction wall crack treatment device provided by the above embodiment.

[0104] Among them, the device, computer-readable storage medium, computer program product or chip provided by the embodiments of the present invention are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods provided above, and will not be elaborated here. Through the description of the above embodiments, those skilled in the art can understand that for the convenience and simplicity of description, only the above-mentioned division of each functional module is used as an example. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In the embodiments provided by the present invention, it should be understood that the disclosed device and method can be implemented in other ways.

[0105] The device embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in electrical, mechanical or other forms.

[0106] It should also be noted that in this article, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or terminal device. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article or terminal device including the said element.

[0107] It should be noted that the above-mentioned sequence of embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0108] Each embodiment in this specification is described in a progressive manner. The same or similar parts between each embodiment can be referred to each other, and the key point of each embodiment is to illustrate the differences from other embodiments.

[0109] The above content is only a specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention.

Claims

1. A device for treating cracks on a wall surface during construction, comprising a crack treating device body, wherein the crack treating device body comprises crack treating equipment, characterized in that: The crack processing equipment also includes a grinding device, a camera module and a crack analysis controller; The signal output end of the camera module is connected to the crack analysis controller, and the signal output end of the crack analysis controller is connected to the signal input end of the grinding device, and the grinding device is used to grind the wall cracks; The camera module is used to obtain a wall crack image and output it to the crack analysis controller; the crack analysis controller is used to determine the dispersed defect area according to the continuity of the longitudinal suspected defect area in the wall crack image; Merging the scattered defect regions to obtain a defect region to be analyzed; determining the true retention degree of the defect region to be analyzed according to the linear characteristics of the crack and the narrow and long shape characteristics; Locally enhancing the wall crack image based on the true retention degree to obtain an enhanced crack image; Detecting a crack area in the enhanced crack image; analyzing the crack width of the crack area to obtain a crack expansion width value; outputting a control instruction to the grinding device according to the crack expansion width value to control the action of the grinding device to perform crack expansion processing on the crack area in the wall crack image; The method for obtaining the true retention degree is as follows: comparing the grayscale mean of the current defect area to be analyzed with the grayscale mean of all defect areas to be analyzed to determine the linear characteristic value of the current defect area to be analyzed; analyzing the length ratio of the current defect area to be analyzed to determine the shape characteristic value of the current defect area to be analyzed; combining the linear characteristic value and the shape characteristic value to determine the true retention degree of the defect area to be analyzed; Among them, the method for obtaining the seam expansion width value is: obtaining multiple width values ​​of the crack area; clustering the width values ​​to obtain cluster clusters, and determining the possibility of seam expansion treatment for each cluster cluster; when the possibility of seam expansion treatment corresponding to the crack area is greater than 0, determining the seam expansion width value according to the width value of the crack area and the possibility of seam expansion treatment.

2. A device for treating cracks on a wall surface during construction according to claim 1, characterized in that: The determining of the dispersed defect areas according to the continuity of the longitudinal suspected defect areas in the wall crack image includes: Pixel points in each column whose pixel values ​​are less than the average pixel value are recorded as suspected target pixel points, and the suspected defect area is composed of suspected target pixel points with continuous row indexes in the same column of the wall crack image; according to the continuity of the suspected defect areas between adjacent columns in the wall crack image, the initial retention degree of the suspected defect area is determined; and the scattered defect areas are screened out according to the initial retention degree.

3. A device for treating cracks on a wall surface during construction according to claim 2, characterized in that: The determining the initial retention degree of the suspected defect area according to the continuity of the suspected defect area between adjacent columns in the wall crack image includes: The initial retention degree of the suspected defect regions is determined according to the difference in positions of the suspected defect regions between adjacent columns and the difference in lengths of the suspected defect regions; wherein the difference in positions and the difference in lengths of the suspected defect regions are both positively correlated with the initial retention degree.

4. A device for treating cracks on a wall surface during construction according to claim 2, characterized in that: The step of screening out the scattered defect areas according to the initial retention degree comprises: The suspected defect area whose initial retention degree is greater than a preset first threshold is regarded as a scattered defect area.

5. A device for treating cracks on a wall surface during construction according to claim 1, characterized in that: The merging of the scattered defect regions to obtain the defect region to be analyzed includes: Two scattered defect areas whose difference of the first and last row indexes in the same column is within the normal range are merged to obtain the defect area to be analyzed.

6. A device for treating cracks on a wall surface during construction according to claim 1, characterized in that: The locally enhancing the wall crack image based on the true retention degree to obtain an enhanced crack image includes: Obtain the defect area to be analyzed whose true retention degree is greater than the preset true threshold, and record it as the true retention area; The real reserved area is linearly enhanced, and other areas except the real reserved area are linearly weakened to obtain an enhanced crack image.

7. A device for treating cracks on a wall surface during construction according to claim 1, characterized in that: Determining the crack width value according to the width value of the crack area and the possibility of crack expansion processing includes: Taking the possibility of crack expansion treatment as the weight value, the difference between the maximum width value and the mean width value of the crack area is weighted to obtain the crack expansion width value.

8. The device for treating cracks on a wall surface during construction according to claim 1, characterized in that: The grinding device also includes: an electric angle grinder and a hair dryer, wherein the hair dryer is used to clean small particles in the groove after the seam is expanded in the crack area.

Images