A method for detecting the thickness of bottom grouting of a pavement slab for rapid construction of a fabricated pavement

Abstract

The application provides a pavement panel bottom grouting thickness detection method for assembly type pavement rapid construction, and relates to the technical field of grouting thickness detection, and comprises the following steps: S1, laying a plurality of prefabricated pavement panels on the ground; S2, starting grouting from a grouting hole on the prefabricated pavement panel; S3, after grouting for a preset time, inserting a detection ruler of a detection device into the grouting hole, the detection ruler being in contact with the ground, and a caliper member of the detection device being in contact with the upper surface of the prefabricated pavement panel; S4, reading a on the lower surface of the caliper member, which is the preset grouting thickness plus the thickness of the pavement panel, and the preset grouting thickness is obtained by subtracting the thickness b of the pavement panel from the reading a, then the detection ruler is pulled out, and the grouting is completed when the grouting trace scale c left on the detection ruler is greater than or equal to a-b; and S5, if the grouting trace scale c left on the detection ruler is less than a-b, steps S2-S4 are repeated again until the grouting trace scale c left on the detection ruler is greater than or equal to a-b. The application is more accurate in detection through cooperation of the detection ruler and the caliper member.

Description

TECHNICAL FIELD

[0001] The present application relates to the grouting thickness detection technical field, in particular to a kind of road panel bottom grouting thickness detection method of quick construction of assembly pavement. BACKGROUND

[0002] With the vigorous promotion of the state to assembly building, assembly pavement is loved due to its quick construction, prefabrication convenient, recyclable characteristics, but due to the existing assembly pavement is mostly made of 2500*2000*200 cuboid concrete block, each assembly pavement exists independently.

[0003] After the existing assembly pavement is paved, grouting between assembly pavement and original pavement is needed, grouting thickness is detected in real time in the process of grouting, to prevent the gap under prefabricated pavement panel caused by less grouting, while prevent grouting too much to cause grout to flood grouting hole, but grouting hole bears the function of hoisting hole simultaneously, after grouting hole is flooded, replacement and transport of single block pavement panel become difficult;And the existing detection method is mainly observed by manual, and error is relatively large. SUMMARY

[0004] The present application provides a kind of road panel bottom grouting thickness detection method of quick construction of assembly pavement, to solve the problems raised in the above background technique.

[0005] To solve the above technical problems, the present application discloses a kind of road panel bottom grouting thickness detection method of quick construction of assembly pavement, comprising the following steps, S1: several prefabricated pavement panels are laid on the ground;S2: grouting starts from grouting hole on prefabricated pavement panel;S3: after grouting preset time, the detection ruler of detection device is inserted into grouting hole, detection ruler is in contact with ground, and the caliper of detection device is in contact with the upper surface of prefabricated pavement panel;S4: the reading a of lower plane of caliper is the preset grouting thickness+the thickness of pavement panel, the preset grouting thickness is obtained by reading a minus the thickness b of pavement panel, then the detection ruler is pulled out, when grouting mark scale c left on detection ruler is a-b, grouting is completed;S5: if grouting mark scale c left on detection ruler is less than a-b, repeat steps S2-S4 again, until grouting mark scale c left on detection ruler is a-b.

[0006] Preferably, in step S5, to ensure the grouting filling rate of the bottom of prefabricated pavement panel, it can be grouted by 1-2cm, i.e.c≥a-b+1~2.

[0007] Preferably, the detection device comprises a handle, the lower end of the handle is integrally connected with a detection ruler, and the caliper is movably connected to the detection ruler.

[0008] Preferably, the caliper includes a telescopic rod, a fixed rod and a conical head, the telescopic rod and the fixed rod are both provided with a plurality of scales, the telescopic rod is integrally connected with the handle, the telescopic rod is provided with a plurality of spring buckles, the fixed rod is provided with a plurality of buckle holes symmetrically distributed, and the spring buckles are matched with the buckle holes.

[0009] Preferably, the caliper includes a telescopic rod, a fixed rod and a conical head, the telescopic rod and the fixed rod are both provided with a plurality of scales, the telescopic rod is integrally connected with the handle, the telescopic rod is provided with a plurality of spring buckles, the fixed rod is provided with a plurality of buckle holes symmetrically distributed, and the spring buckles are matched with the buckle holes.

[0010] Preferably, the fixed rod adopts an aluminum alloy square tube with a cross-sectional size of 20mm*20mm, the telescopic rod adopts aluminum alloy square tubes with cross-sectional sizes of 20mm*20mm and 18mm*18mm, and the wall thicknesses of the fixed rod and the telescopic rod are both 2mm.

[0011] Preferably, the method further includes: after the caliper is pulled out, an image of the caliper is acquired to obtain a first to-be-processed image; the first to-be-processed image is subjected to image enhancement processing to obtain a second to-be-processed image;

[0012] The second to-be-processed image is subjected to connected domain marking to obtain a plurality of connected domains;

[0013] The number of pixel points in each connected domain is acquired, and the connected domain with the largest number of pixel points is determined as a grouting trace area;

[0014] The number of pixel points in the second to-be-processed image is acquired, and a ratio of the number of pixel points in the grouting trace area to the number of pixel points in the second to-be-processed image is obtained;

[0015] When the ratio is greater than a preset ratio threshold, a prompt information of completion of grouting is sent.

[0016] Preferably, the first to-be-processed image is subjected to image enhancement processing to obtain the second to-be-processed image, including:

[0017] The first to-be-processed image is subjected to gray scale processing to obtain a gray scale image;

[0018] The gray scale values of each pixel point in the gray scale image are acquired, and the pixel points with a gray scale value of 0 in the gray scale image are removed to obtain a to-be-enhanced gray scale image;

[0019] A pixel point in the to-be-enhanced gray scale image is taken as a to-be-enhanced pixel point; a detection region is determined with the to-be-enhanced pixel point as the center and a first preset distance as the radius;

[0020] The maximum gray scale value and the gray scale average value of the pixel points in the detection region are acquired;

[0021] The gray scale value of the to-be-enhanced pixel point after enhancement is obtained based on a preset algorithm according to the gray scale value of the to-be-enhanced pixel point, the maximum gray scale value and the gray scale average value.

[0022] Based on the above method, each pixel point in the to-be-enhanced gray image is traversed, the gray values of all to-be-enhanced pixel points after enhancement are determined, and a second to-be-processed image is obtained.

[0023] Preferably, the second to-be-processed image is labeled with a connected domain to obtain a plurality of connected domains, including:

[0024] Any pixel point in the second to-be-processed image is taken as a to-be-labeled pixel point, and a to-be-labeled region is determined with the to-be-labeled pixel point as the center and a second preset distance as the radius.

[0025] The gray differences between the to-be-labeled pixel point and each pixel point in the to-be-labeled region are calculated respectively.

[0026] The gradient values between the to-be-labeled pixel point and each pixel point in the to-be-labeled region are calculated respectively.

[0027] Based on the gray differences and the gradient values between the to-be-labeled pixel point and each pixel point in the to-be-labeled region, the density value of the to-be-labeled pixel point is determined.

[0028] The density value of the to-be-labeled pixel point is compared with a preset density threshold, and when it is determined that the density value of the to-be-labeled pixel point is greater than or equal to the preset density threshold, each pixel point in the to-be-labeled region is assigned the same connected domain label.

[0029] Each pixel point in the second to-be-processed image is traversed to obtain a plurality of connected domain labels.

[0030] The pixel points corresponding to the plurality of connected domain labels are taken as coincident pixel points.

[0031] The plurality of connected domain labels corresponding to the coincident pixel points are merged into the same connected domain label.

[0032] Based on the connected domain after merging, a plurality of connected domains are obtained.

[0033] Compared with the prior art, the pavement plate bottom grouting thickness detection method for the assembly type pavement rapid construction has the following beneficial effects: through the cooperation of the detection ruler and the caliper member, a preset grouting thickness can be obtained, so as to be compared with the actual grouting thickness. Only when the actual grouting thickness is greater than or equal to the preset grouting thickness, that is, the grout submerges the scale line of the preset grouting position, the overall grouting is ended, so that the grouting thickness is guaranteed to meet the standard, the grouting thickness is more accurate, the grouting is prevented from being too little to cause voids and too much to cause the grouting hole to be submerged. BRIEF DESCRIPTION OF DRAWINGS

[0034] The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application. In the drawings:

[0035] Figure 1 Structure diagram of the present application Figure 1 ;

[0036] Figure 2 Structure diagram of the present application Figure 2 ;

[0037] Figure 3 Top view of the caliper member of the present application;

[0038] Figure 4 Structure diagram of the prefabricated pavement panel of the present application.

[0039] In the figure: 1, detection ruler; 2, telescopic rod; 3, fixed rod; 4, conical head; 5, handle; 6, caliper member; 7, spring buckle; 8, sleeve; 9, fastening nut; 10, cross rod; 11, buckle hole; 12, grouting hole; 13, prefabricated pavement panel. DETAILED DESCRIPTION

[0040] The preferred embodiments of the present application will be described herein below with reference to the accompanying drawings, in which it should be understood that the preferred embodiments described herein are intended to serve as illustrations of the application only and are not intended to limit the application in any way. Therefore, it is to be understood that any other arrangements, which are considered to belong to the field covered by the scope of the application, are also intended to fall within the scope of the application.

[0041] In addition, the descriptions such as "first", "second" and the like in the present application are only for the purpose of description and do not mean to particularly indicate the order or sequence, nor to limit the application, which are merely used to distinguish components or operations described by the same technical terms, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first", "second" can explicitly or implicitly include at least one of the features. In addition, the technical solutions and technical features of various embodiments can be combined with each other, but it must be based on the realization of ordinary skilled in the art, when the combination of technical solutions appears contradictory or unachievable, it should be considered that the combination of technical solutions does not exist, nor within the scope of protection required by the present application.

[0042] Example 1

[0043] The embodiment of the present application provides a pavement panel bottom grouting thickness detection method for rapid construction of prefabricated pavement, such as Figures 1-4As shown, the method comprises the following steps: S1: laying a plurality of prefabricated pavement panels 13 on the ground; S2: starting grouting from the grouting hole 12 on the prefabricated pavement panel 13; S3: after grouting for a preset time, inserting the detection ruler 1 of the detection device into the grouting hole, the detection ruler 1 being in contact with the ground, and the caliper member 6 of the detection device being in contact with the upper surface of the prefabricated pavement panel 13; S4: the reading a of the lower plane of the caliper member 6 is the preset grouting thickness + the thickness of the pavement panel, and the preset grouting thickness is obtained by subtracting the thickness b of the pavement panel from the reading a, then the detection ruler 1 is pulled out, and the grouting is completed when the grouting trace scale c left on the detection ruler 1 is greater than or equal to a-b; S5: if the grouting trace scale c left on the detection ruler 1 is less than a-b, steps S2-S4 are repeated again until the grouting trace scale c left on the detection ruler 1 is greater than or equal to a-b.

[0044] The preset time can be determined by a person skilled in the art or according to the experience of grouting personnel, and is not a fixed time, and the grouting times can be reduced as much as possible.

[0045] The working principle and beneficial effects of the above technical solution are as follows: first, a plurality of prefabricated pavement panels 13 are laid on the ground; second, grouting is started from the grouting hole 12 on the prefabricated pavement panel 13; third, after grouting for a preset time, the detection ruler 1 of the detection device is inserted into the grouting hole, the detection ruler 1 is in contact with the ground, and the caliper member 6 of the detection device is in contact with the upper surface of the prefabricated pavement panel 13; fourth, the reading a of the lower plane of the caliper member 6 is the preset grouting thickness + the thickness of the pavement panel, and the preset grouting thickness is obtained by subtracting the thickness b of the pavement panel from the reading a, then the detection ruler 1 is pulled out, and the grouting is completed when the grouting trace scale c left on the detection ruler 1 is greater than or equal to a-b; fifth, if the grouting trace scale c left on the detection ruler 1 is less than a-b, steps S2-S4 are repeated again until the grouting trace scale c left on the detection ruler 1 is greater than or equal to a-b; through the cooperation of the detection ruler 1 and the caliper member 6, a preset grouting thickness can be obtained, so as to compare with the actual grouting thickness, and only when the actual grouting thickness is greater than or equal to the preset grouting thickness, that is, the grout liquid submerges the scale line of the preset grouting position, the overall grouting is completed, so as to ensure that the grouting thickness meets the standard, the grouting thickness is more accurate, the grouting is prevented from being too little to cause voids, and the grouting is prevented from being too much to cause the grouting hole to be submerged.

[0046] Embodiment 2

[0047] On the basis of the above embodiment 1, in step S5, in order to ensure the grouting filling rate of the bottom of the prefabricated pavement panel 13, 1-2 cm can be grouted more, that is, c≥a-b+1-2.

[0048] The beneficial effects of the above technical solution are as follows: through the over-grouting of the grout liquid, the grout liquid filling rate of the panel bottom can be ensured, the voids at the bottom of the prefabricated pavement panel 13 are less, but over-grouting 1-2 cm will not cause the grout liquid to completely submerge the grouting hole, and the other functions of the grouting hole are affected.

[0049] Embodiment 3

[0050] Based on the above-mentioned embodiments 1-2, as shown in the figure, the detection device comprises a handle 5, the lower end of the handle 5 is integrally connected with a detection ruler 1, and a caliper element 6 is movably connected on the detection ruler 1. Figures 1-3

[0051] Preferably, the detection ruler 1 comprises a telescopic rod 2, a fixed rod 3 and a conical head 4, a plurality of scales are arranged on the telescopic rod 2 and the fixed rod 3, the telescopic rod 2 is integrally connected with the handle 5, a plurality of spring buckles 7 are installed on the telescopic rod 2, a plurality of buckle holes 11 are symmetrically arranged on the fixed rod 3, and the spring buckles 7 are matched with the buckle holes 11.

[0052] Preferably, the caliper element 6 comprises a sleeve 8, the sleeve 8 is sleeved on the detection ruler 1, a through hole is arranged on the rear side wall of the sleeve 8, a fastening nut 9 is installed in the through hole, and a horizontal rod 10 is fixedly arranged on the front side wall of the sleeve 8.

[0053] Preferably, the fixed rod 3 is an aluminum alloy square tube with a cross-sectional size of 20mm*20mm, the telescopic rod 2 is an aluminum alloy square tube with a cross-sectional size of 20mm*20mm and 18mm*18mm, and the wall thicknesses of the fixed rod 3 and the telescopic rod 2 are both 2mm.

[0054] The working principle and beneficial effects of the above technical solution are as follows: the fixed rod 3 and the telescopic rod 2 are pulled apart, at this time, the spring buckles 7 on the telescopic rod 2 are matched with the buckle holes 11 on the fixed rod 3 to form the maximum range, then the detection ruler 1 is inserted into the grouting hole 12 by holding the handle 5, the conical head 4 is in contact with the ground, then the position of the sleeve 8 on the detection ruler 1 is moved until the horizontal rod 10 is in contact with the upper surface of the precast pavement slab 13, at this time, the sleeve 8 is connected with the detection ruler 1 by rotating the fastening nut 9, and then the detection can be performed; by arranging the handle 5, the detection ruler 1 can be easily lifted or lowered, and the movement is more convenient; by arranging the fixed rod 3 and the telescopic rod 2, a larger range can be obtained after being pulled apart, the application range is wider, and by arranging the spring buckles 7 and the buckle holes 11, the positions of the fixed rod 3 and the telescopic rod 2 can be effectively limited, and the practicability is strong.

[0055] Embodiment 4,

[0056] Further comprising: obtaining an image of the detection ruler 1 after the detection ruler 1 is pulled out, to obtain a first to-be-processed image; performing image enhancement processing on the first to-be-processed image, to obtain a second to-be-processed image;

[0057] Performing connected domain marking on the second to-be-processed image, to obtain a plurality of connected domains;

[0058] ​The number of pixel points in each connected domain is obtained, and the connected domain with the largest number of pixel points is determined as the grouting trace area;

[0059] The number of pixel points in the second to-be-processed image is obtained, and a ratio of the number of pixel points in the grouting trace area to the number of pixel points in the second to-be-processed image is obtained.

[0060] When it is determined that the ratio is greater than a preset ratio threshold, a prompt information of completing grouting is sent.

[0061] In this embodiment, the specific implementation of obtaining the image of the detection ruler 1 includes but is not limited to a mobile phone, a tablet, a digital camera, a video camera and the like.

[0062] In this embodiment, the first to-be-processed image is subjected to image enhancement processing, the purpose of which is to enhance useful information in the image, improve visual effects of the image, purposefully emphasize overall or local characteristics of the image for the first to-be-processed image, make an originally unclear image clear or emphasize some features of interest, expand differences between different object features in the image, suppress features of no interest, enhance image quality, enrich information quantity, strengthen image interpretation and identification effects, and meet needs of some special analysis.

[0063] In this embodiment, the second to-be-processed image is subjected to connected domain labeling to obtain a plurality of connected domains. Through connected domain labeling of the second to-be-processed image, each pixel point belonging to a connected domain can be quickly and accurately determined, each connected domain in the image can be extracted, different regions are conveniently subjected to separate processing and analysis, connected domain labeling can be applied to various image processing tasks such as target detection, tracking and identification, and a convenient and accurate basis is provided for subsequent processing.

[0064] In this embodiment, the number of pixel points in each connected domain is obtained, and the connected domain with the largest number of pixel points is determined as the grouting trace area. Specifically, when the detection ruler is pulled out, pixel points in the grouting trace area on the detection ruler are most concentrated and dense, so the connected domain with the largest number of pixel points is determined as the grouting trace area.

[0065] In this embodiment, the number of pixel points in the second to-be-processed image is obtained, and a ratio of the number of pixel points in the grouting trace area to the number of pixel points in the second to-be-processed image is obtained. According to the relationship between the number of pixel points in the grouting trace area and the number of pixel points in the second to-be-processed image, grouting information can be accurately obtained compared with observation by naked eyes, the remaining grouting amount can be accurately calculated based on the grouting information, the efficiency of grouting operation is improved, rapid grouting is realized, and significant progress is achieved.

[0066] In the embodiment, when the ratio is greater than the preset ratio threshold, the preset ratio threshold is determined according to the sum of the pavement slab thickness and the preset grouting thickness; the ratio of the preset grouting thickness and the detection scale depth is calculated to obtain the preset ratio threshold; and the prompt information of completing grouting is sent when the ratio is greater than the preset ratio threshold.

[0067] The working principle and beneficial effects of the above technical solution are as follows: after the detection scale 1 is pulled out, the image of the detection scale 1 is acquired, the first to-be-processed image is subjected to enhancement processing, the useful information in the image is enhanced, the visual effect of the image is improved, and the overall or local characteristics of the image are purposefully emphasized for the first to-be-processed image; the originally unclear image becomes clear or some features of interest are emphasized, the differences between different object features in the image are enlarged, and the features of no interest are suppressed; the image quality is enhanced, the information amount is enriched, the image interpretation and recognition effect is strengthened, the needs of some special analysis are met, and the second to-be-processed image is obtained; the second to-be-processed image is subjected to connected domain marking; through the connected domain marking of the second to-be-processed image, each pixel point belonging to a connected domain can be quickly and accurately determined through the marking, each connected region in the image can be extracted, separate processing and analysis of different regions are facilitated, the connected domain marking can be applied to various image processing tasks such as target detection, tracking and identification, and a convenient and accurate basis is provided for subsequent processing; the number of pixel points in each connected domain is acquired, and the connected domain with the largest number of pixel points is determined as the grouting trace region; specifically, when the detection scale is pulled out, the pixel points in the grouting trace region on the detection scale are most concentrated, so the connected domain with the largest number of pixel points is determined as the grouting trace region; the number of pixel points in the grouting trace region and the ratio of the number of pixel points in the grouting trace region to the number of pixel points in the second to-be-processed image are acquired; compared with visual observation, the grouting information can be accurately acquired according to the relationship between the number of pixel points in the grouting trace region and the number of pixel points in the second to-be-processed image, the residual grouting amount is accurately calculated based on the grouting information, the efficiency of grouting operation is improved, rapid grouting is realized, and significant progress is made; when the ratio is greater than the preset ratio threshold, the prompt information of completing grouting is sent.

[0068] Embodiment 5

[0069] The first to-be-processed image is subjected to image enhancement processing to obtain the second to-be-processed image, including:

[0070] The first to-be-processed image is subjected to gray scale processing to obtain a gray scale image.

[0071] The gray scale values of each pixel point in the gray scale image are acquired, and the pixel points with a gray scale value of 0 in the gray scale image are removed to obtain a to-be-enhanced gray scale image.

[0072] Taking one pixel point in the to-be-enhanced gray image as a to-be-enhanced pixel point, a detection region is determined with the to-be-enhanced pixel point as the center and a first preset distance as the radius;

[0073] A maximum gray value and a gray mean value of the pixel points in the detection region are obtained;

[0074] A gray value of the to-be-enhanced pixel point after enhancement is obtained based on a preset algorithm according to the gray value of the to-be-enhanced pixel point, the maximum gray value and the gray mean value.

[0075] Based on the above method, the gray value of each to-be-enhanced pixel point in the to-be-enhanced gray image is determined, and a second to-be-processed image is obtained.

[0076] In this embodiment, the first to-be-processed image is grayed to obtain a gray image. The gray processing methods include but are not limited to weighted average, median mean, maximum component, YUV brightness gray processing, maximum value gray processing, average value gray processing, Gamma correction gray processing, etc., which are not limited here. For example, the maximum value gray processing directly takes the value of the component with the maximum value among the three components of RGB; the average value gray processing takes the average value of the values of the three components of RGB; and the weighted average method takes the weighted average value according to the sensitivity of the human eye to the three channels of R, G and B.

[0077] In this embodiment, the image gray processing can reduce the complexity of image processing. A color image contains rich color information, and a large amount of color data needs to be processed during processing. However, a gray image only contains brightness information, and only brightness data needs to be processed during processing, thereby reducing the complexity of processing. The processing speed and accuracy of the image are improved. Since the number of pixel points of the gray image is small, the image is easier to process, and the interference and errors caused by color in image recognition are avoided, so the processing speed and accuracy of the image are improved. The visual effect of the image can be enhanced. The gray image can highlight the target region, increase the contrast, and make the image clearer and more visible.

[0078] In this embodiment, the pixel points with a gray value of 0 in the gray image are removed to obtain a to-be-enhanced gray image. The purpose is that in image enhancement, the pixel points with a gray value of 0 are usually considered as invalid or meaningless points. Because the gray value of 0 indicates that the brightness of the pixel point is 0, i.e. black, these points have little value for visual analysis and processing.

[0079] In this embodiment, one pixel point in the gray image to be enhanced is taken as a pixel point to be enhanced; a detection region is determined with the pixel point to be enhanced as the center and a first preset distance as the radius; the entire first image to be processed is divided into a plurality of detection regions; and the pixels in the detection regions are enhanced. Compared with the overall pixel enhancement of the first image to be processed, the effect of enhancement is improved, and the enhanced image can increase more detailed information.

[0080] In this embodiment, the preset algorithm is:

[0081]

[0082] wherein, T i is an enhancement coefficient of the pixel point to be enhanced, n is the average gray value of the detection region, q i is the gray value of the pixel point to be enhanced, and m is the maximum gray value in the detection region.

[0083] The product of the gray value q i of the pixel point to be enhanced and the enhancement coefficient T i of the pixel point to be enhanced is used to determine the gray value of the pixel point to be enhanced after enhancement.

[0084] The working principle and beneficial effects of the technical solution are as follows: the first to-be-processed image is subjected to grayscale processing to obtain a grayscale image; the grayscale processing of the image can reduce the complexity of image processing; a color image contains rich color information, and a large amount of color data needs to be processed during processing, while a grayscale image only contains brightness information, and only brightness data needs to be processed during processing, thereby reducing the complexity of processing; the processing speed and accuracy of the image are improved: since the number of pixel points of the grayscale image is small, the grayscale image is simpler and more convenient to process, and interference and errors caused by color to image recognition are avoided, so that the processing speed and accuracy of the image can be improved; the visual effect of the image can be enhanced: the grayscale image can highlight the target area, increase the contrast, and make the image clearer and more visible; the gray value of each pixel point in the grayscale image is obtained, and the pixel point with a gray value of 0 in the grayscale image is removed to obtain a to-be-enhanced grayscale image; the pixel point with a gray value of 0 in the grayscale image is removed to obtain the to-be-enhanced grayscale image, and the purpose is to consider the pixel point with a gray value of 0 as an invalid or meaningless point in image enhancement; because the gray value of 0 indicates that the brightness of the pixel point is 0, that is, black, these points have little value for visual analysis and processing; a pixel point in the to-be-enhanced grayscale image is randomly taken as a to-be-enhanced pixel point; a detection region is determined with the to-be-enhanced pixel point as the center and a first preset distance as the radius; the entire first to-be-processed image is divided into a plurality of detection regions for pixel enhancement, which improves the enhancement effect compared with the overall pixel enhancement of the first to-be-processed image, and the enhanced image can increase more detailed information; the first to-be-processed image is subjected to image enhancement processing, the purpose of which is to enhance the useful information in the image and improve the visual effect of the image, and the overall or local characteristics of the image are purposefully emphasized for the first to-be-processed image; the original unclear image becomes clear or emphasizes certain features of interest, expands the difference between different object features in the image, and suppresses features that are not of interest; the image quality is enhanced, the information amount is enriched, and the image interpretation and recognition effect is strengthened.

[0085] Embodiment 6

[0086] The second to-be-processed image is subjected to connected component labeling to obtain a plurality of connected components, including:

[0087] A pixel point in the second to-be-processed image is randomly taken as a to-be-labeled pixel point; and a to-be-labeled region is determined with the to-be-labeled pixel point as the center and a second preset distance as the radius.

[0088] The gray difference between the to-be-labeled pixel point and each pixel point in the to-be-labeled region is calculated respectively.

[0089] The gradient value between the to-be-labeled pixel point and each pixel point in the to-be-labeled region is calculated respectively.

[0090] determine the density value of the pixel point to be marked based on the gray scale difference and the gradient value between the pixel point to be marked and each pixel point in the region to be marked;

[0091] compare the density value of the pixel point to be marked with a preset density threshold value, and assign the same connected domain label to each pixel point in the region to be marked when it is determined that the density value of the pixel point to be marked is greater than or equal to the preset density threshold value;

[0092] traverse each pixel point in the second image to be processed to obtain a plurality of connected domain labels;

[0093] take the pixel points corresponding to the plurality of connected domain labels as coincident pixel points;

[0094] merge the plurality of connected domain labels corresponding to the coincident pixel points into the same connected domain label;

[0095] obtain a plurality of connected domains based on the merged connected domains.

[0096] In this embodiment, the purpose of calculating the gray scale difference between the pixel point to be marked and each pixel point in the region to be marked is to enhance the texture features of the image; by calculating the gray scale difference between the pixel point and the surrounding pixels, the difference value of the texture region is large, so that the texture features can be highlighted.

[0097] In this embodiment, the purpose of calculating the gradient value between the pixel point to be marked and each pixel point in the region to be marked is that the gradient value can be used to calculate the direction and size of the image, thereby helping to determine the texture and structure information in the image; in image processing, the gradient represents the degree of brightness change at the pixel point, and the gradient direction represents the direction of the brightness change; by calculating the gradient and direction of each pixel point, the texture and structure information in the image can be obtained.

[0098] In this embodiment, the specific implementation of calculating the gradient value between the pixel point to be marked and each pixel point in the region to be marked is that some common gradient calculation methods can be selected, such as Sobel, Prewitt and Robert, etc.; these methods can calculate the gradient values of each pixel point in the x and y directions, and then add these values to obtain the gradient value of the pixel point.

[0099] In this embodiment, the specific implementation of determining the density value of the pixel point to be marked based on the gray scale difference and the gradient value between the pixel point to be marked and each pixel point in the region to be marked is as follows:

[0100]

[0101] Wherein, f(x, y) is the density value of the pixel point (x, y) to be marked, g(i, j) is the gray difference between the pixel point (i, j) in the to-be-marked region and the pixel point (x, y) to be marked; T(i, j) is the gradient value between the pixel point (i, j) in the to-be-marked region and the pixel point (x, y) to be marked; r is the second preset distance.

[0102] In this embodiment, r is the second preset distance, and the specific value of r can be set according to the specific requirements in actual application, and can be 3;

[0103] The working principle and beneficial effects of the above technical solution are as follows: a pixel point in the second to-be-processed image is taken as a pixel point to be marked; a to-be-marked region is determined with the center of the pixel point to be marked and the second preset distance as the radius; the gray difference between the pixel point to be marked and each pixel point in the to-be-marked region is calculated; by calculating the gray difference between the pixel point and the surrounding pixels, the difference value of the texture region is large, so that the texture feature can be highlighted; the purpose of calculating the gray difference between the pixel point to be marked and each pixel point in the to-be-marked region is to enhance the texture feature of the image; by calculating the gradient value between the pixel point to be marked and each pixel point in the to-be-marked region, the direction and size of the image are calculated, so as to help determine the texture and structure information in the image; in image processing, the gradient represents the brightness change degree at the pixel point, and the gradient direction represents the direction of the brightness change; by calculating the gradient and direction of each pixel point, the texture and structure information in the image can be obtained; based on the gray difference and gradient value between the pixel point to be marked and each pixel point in the to-be-marked region, the density value of the pixel point to be marked is determined; the density value of the pixel point to be marked is compared with the preset density threshold value, and when it is determined that the density value of the pixel point to be marked is greater than or equal to the preset density threshold value, each pixel point in the to-be-marked region is assigned the same connected domain label; by performing connected domain labeling on the second to-be-processed image, through labeling, the connected domain to which each pixel point belongs can be quickly and accurately determined, each connected region in the image can be extracted, separate processing and analysis of different regions are facilitated, and the connected domain labeling can be applied to various image processing tasks, such as target detection, tracking, recognition, etc., thereby providing a convenient and accurate basis for subsequent processing; the pixel points corresponding to the multiple connected domain labels are taken as overlapping pixel points; the multiple connected domain labels corresponding to the overlapping pixel points are merged into the same connected domain label; based on the merged connected domain, a plurality of connected domains are obtained; by merging the same connected domain label, the connected domain to which each pixel point belongs can be quickly and accurately determined, each connected region in the image can be extracted, and the maximum connected domain is determined, thereby laying a foundation for determining the grouting trace region.

[0104] It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Such modifications and variations are intended to fall within the scope of the application as defined by the appended claims and their equivalents.

Claims

1. A method for detecting the thickness of bottom grouting of a pavement slab for rapid construction of a prefabricated pavement, characterized in that, The method comprises the following steps: S1, laying a plurality of prefabricated pavement panels (13) on the ground; S2, starting grouting from the grouting hole (12) on the prefabricated pavement panel (13); S3, after grouting for a preset time, inserting a detection ruler (1) of a detection device into the grouting hole, the detection ruler (1) being in contact with the ground, and a caliper element (6) of the detection device being in contact with the upper surface of the prefabricated pavement panel (13); S4, the lower plane reading a of the caliper element (6) is the preset grouting thickness + the thickness of the pavement panel, the grouting thickness is obtained by subtracting the thickness b of the pavement panel from the reading a, then the detection ruler (1) is pulled out, and the grouting is completed when the grouting mark scale c left on the detection ruler (1) is greater than or equal to a-b; S5, if the grouting mark scale c left on the detection ruler (1) is less than a-b, steps S2-S4 are repeated again until the grouting mark scale c left on the detection ruler (1) is greater than or equal to a-b; Further comprising: after the detection ruler (1) is pulled out, an image of the detection ruler (1) is acquired, and a first to-be-processed image is obtained; the first to-be-processed image is subjected to image enhancement processing, and a second to-be-processed image is obtained; The second to-be-processed image is subjected to connected domain marking, and a plurality of connected domains are obtained; The number of pixel points in each connected domain is acquired, and the connected domain with the largest number of pixel points is determined as a grouting mark area; The number of pixel points in the second to-be-processed image is acquired, and a ratio of the number of pixel points in the grouting mark area to the number of pixel points in the second to-be-processed image is obtained; When it is determined that the ratio is greater than a preset ratio threshold value, a prompt information of completing grouting is sent out; The second to-be-processed image is subjected to connected domain marking, and a plurality of connected domains are obtained, comprising: A pixel point in the second to-be-processed image is randomly taken as a to-be-marked pixel point; a to-be-marked area is determined with the to-be-marked pixel point as the center and a second preset distance as the radius; The gray difference between the to-be-marked pixel point and each pixel point in the to-be-marked area is calculated respectively; The gradient value between the to-be-marked pixel point and each pixel point in the to-be-marked area is calculated respectively; The density value of the to-be-marked pixel point is determined based on the gray difference and the gradient value between the to-be-marked pixel point and each pixel point in the to-be-marked area; The density value of the to-be-marked pixel point is compared with a preset density threshold value, and each pixel point in the to-be-marked area is assigned a same connected domain mark when it is determined that the density value of the to-be-marked pixel point is greater than or equal to the preset density threshold value; Each pixel point in the second to-be-processed image is traversed, and a plurality of connected domain marks are obtained; The pixel points corresponding to the plurality of connected domain marks are taken as coincident pixel points; The plurality of connected domain marks corresponding to the coincident pixel points are merged into a same connected domain mark; Based on the connected domain after merging, a plurality of connected domains are obtained; The specific implementation of determining the density value of the to-be-marked pixel point based on the gray difference and the gradient value between the to-be-marked pixel point and each pixel point in the to-be-marked area is as follows: ； wherein, the density value of the pixel point to be marked, the density value of the pixel point to be marked, the gray difference between the pixel point in the region to be marked and the pixel point to be marked, the gray difference between the pixel point in the region to be marked and the pixel point to be marked, the gradient value between the pixel point in the region to be marked and the pixel point to be marked; and the gradient value between the pixel point in the region to be marked and the pixel point to be marked; and the gradient value between the pixel point in the region to be marked and the pixel point to be marked; and the gradient value between the pixel point in the region to be marked and the pixel point to be marked; and 2. According to the pavement panel bottom grouting thickness detection method for rapid construction of the assembled pavement in claim 1, in step S5, in order to ensure the grouting filling rate of the bottom of the prefabricated pavement panel (13), 1-2 cm of over-grouting is allowed, that is, c≥a-b+1-2.

3. The method for detecting the grouting thickness of the bottom of the pavement slab for the rapid construction of the assembled pavement according to claim 1, characterized in that, The detection device comprises a handle (5), the lower end of which is integrally connected with a detection ruler (1), and the detection ruler (1) is movably connected with a caliper element (6).

4. The method for detecting the grouting thickness of the bottom of the pavement slab for the rapid construction of the assembled pavement according to claim 3, characterized in that, The detection ruler (1) comprises a telescopic rod (2), a fixed rod (3) and a conical head (4), the telescopic rod (2) and the fixed rod (3) are both provided with a plurality of scales, the telescopic rod (2) is integrally connected with the handle (5), a plurality of spring buckles (7) are installed on the telescopic rod (2), a plurality of buckle holes (11) are symmetrically arranged on the fixed rod (3), and the spring buckles (7) are matched with the buckle holes (11).

5. The method for detecting the grouting thickness of the bottom of the pavement panel for the rapid construction of the assembled pavement according to claim 3, characterized in that, The caliper element (6) comprises a sleeve (8), the sleeve (8) is sleeved on the detection ruler (1), a through hole is arranged on the rear wall of the sleeve (8), a fastening nut (9) is installed in the through hole, and a horizontal rod (10) is fixedly arranged on the front wall of the sleeve (8).

6. The method for detecting the grouting thickness of the bottom of the pavement panel for the rapid construction of the assembled pavement according to claim 3, characterized in that, The fixed rod (3) is made of an aluminum alloy square tube with a cross-sectional size of 20mm*20mm, the telescopic rod (2) is made of aluminum alloy square tubes with cross-sectional sizes of 20mm*20mm and 18mm*18mm, and the wall thicknesses of the fixed rod (3) and the telescopic rod (2) are both 2mm.

7. The method for detecting the grouting thickness of the bottom of the pavement panel for the rapid construction of the assembled pavement according to claim 1, characterized in that, The first to-be-processed image is subjected to image enhancement processing to obtain a second to-be-processed image, comprising: The first to-be-processed image is subjected to image enhancement processing to obtain a second to-be-processed image, comprising: The first to-be-processed image is subjected to image enhancement processing to obtain a second to-be-processed image, comprising: The gray values of each pixel point in the gray image are obtained, and the pixel points with a gray value of 0 in the gray image are removed to obtain a to-be-enhanced gray image; A pixel point in the to-be-enhanced gray image is taken as a to-be-enhanced pixel point, a detection region is determined with the to-be-enhanced pixel point as the center and a first preset distance as the radius; The maximum gray value and the average gray value of the pixel points in the detection region are obtained; The gray value of the to-be-enhanced pixel point, the maximum gray value and the average gray value are obtained based on a preset algorithm to obtain the enhanced gray value of the to-be-enhanced pixel point; Based on the above method, the gray values of all the to-be-enhanced pixel points are determined by traversing each pixel point in the to-be-enhanced gray image, and the second to-be-processed image is obtained.

Images