Concrete impermeability detection method, system and terminal

Abstract

The invention relates to a concrete impermeability detection method, system and terminal, and relates to the technical field of concrete.The method comprises the steps that the manufacturing specification of a concrete block is obtained; according to the manufacturing specification, the standard smearing amount and the smearing range of the sealing material are determined, and a preset smearing device is controlled to conduct smearing according to the standard smearing amount and the smearing range; after the sealing material is solidified, a preset water seepage device is controlled to operate, and detection image information is obtained; determining a water seepage position according to the detection image information and preset water seepage characteristics; when the water seepage position does not coincide with a preset reference water seepage position, the water seepage quantity is determined according to the water seepage position; when the water seepage quantity is consistent with a preset reference quantity, acquiring detection water pressure; and determining the impermeability grade according to the detected water pressure. The method has the effect of improving the accuracy of detecting the impermeability grade of the concrete.

Description

Technical Field

[0001] The present invention relates to the technical field of concrete, and in particular to a method, a system and a terminal for detecting the impermeability of concrete. Background Art

[0002] Concrete is an artificial stone made by mixing cementitious materials, aggregates and water in appropriate proportions and hardened over a certain period of time.

[0003] When it is necessary to use concrete for construction, it is usually necessary to detect the impermeability of the concrete. The operator selects a part of the concrete to make a cylindrical concrete block, and applies a sealing material to the two bottom surfaces of the concrete block. When the sealing material solidifies, a sealing ring is put on the cylindrical side of the concrete block and placed in an impermeability detection device, and a water pressure is applied to the concrete block. The operator observes and records the water seepage volume of the concrete block to know the impermeability grade of the concrete.

[0004] When detecting the impermeability of the concrete block, it is easy to have the situation of uneven application of the sealing material or deviation in recording the water seepage volume during manual application of the sealing material and observation of the water seepage volume, resulting in an error in the impermeability grade of the concrete. Summary of the Invention

[0005] In order to improve the accuracy of detecting the impermeability grade of concrete, the present invention provides a method, a system and a terminal for detecting the impermeability of concrete.

[0006] In the first aspect, the present invention provides a method for detecting the impermeability of concrete, adopting the following technical solutions: A method for detecting the impermeability of concrete includes: Obtaining the manufacturing specifications of the concrete block; Determining the reference application amount and application range of the sealing material according to the manufacturing specifications, and controlling a preset application device to apply it according to the reference application amount and application range; After the sealing material solidifies, controlling a preset water seepage device to operate and obtaining detection image information; Determining the water seepage position according to the detection image information and preset water seepage characteristics; When the water seepage position does not coincide with the preset reference water seepage position, determining the number of water seepages according to the water seepage position; When the number of water seepages is consistent with the preset reference number, obtaining the detection water pressure; Determining the impermeability grade according to the detection water pressure.

[0007] By adopting the above technical solution, the benchmark coating amount and coating range are obtained by analyzing the manufacturing specifications, the concrete block is coated, and then the operation of the water seepage device is controlled. By analyzing the detected image information and water seepage characteristics, the impermeability grade is obtained, so that the impermeability of the concrete block can be automatically detected, reducing the situation that the sealing material is unevenly coated or the water seepage amount record is deviated when manually applying the sealing material and observing the water seepage amount, and improving the accuracy of detecting the impermeability grade of the concrete.

[0008] Optionally, the method after determining the benchmark coating amount and coating range of the sealing material further includes: Determine the coating surface according to the manufacturing specifications, and control the coating device to coat one coating surface with the benchmark coating amount and coating range, and use the coated coating surface as the marked coating surface; After the marked coating surface solidifies, control the marked coating surface to face the preset suction device to install the concrete block, and control the coating device to coat the remaining coating surfaces, and use the remaining coating surfaces as the detected coating surfaces; Control the suction device to suck air from the marked coating surface with the preset reference change air pressure, control the polishing device to output parallel light with the preset standard polishing color, and obtain the image detection information of the detected coating surface; Determine the shadow area according to the image detection information and the preset shadow characteristics; Obtain the scanning information and the operation time of the suction device according to the shadow area; Determine the correction coefficient according to the operation time; Determine the impermeability grade according to the scanning information, the correction coefficient and the shadow area.

[0009] By adopting the above technical solution, the coated and solidified concrete block is installed in the suction device, and when the coating of the detected coating surface is completed, the operation of the suction device is controlled. The depression condition on the detected coating surface is understood through the image detection information to obtain the impermeability grade, so that the impermeability of the concrete block can be detected by suction, reducing the situation that the structure is damaged due to the entry of liquid or chemical substances into the pores of the concrete block.

[0010] Optionally, the method before outputting the parallel light includes: Obtain the ambient light information around the concrete block; Determine the display light power according to the ambient light information, the preset different reference polishing colors and the standard polishing color; Select the polishing color corresponding to the display light power with the smallest value from the display light powers as the marked polishing color, and use the display light power of the marked polishing color as the marked power; Control the preset lighting device to rotate circumferentially along the smearing range and output parallel light with the marking power and the marking lighting color, and update the image detection information; Update the shadow area according to the updated image detection information and the preset shadow features.

[0011] By adopting the above technical solution, analyze the ambient light information, the reference lighting color, and the standard lighting color to obtain the marking power, control the lighting device to rotate circumferentially along the smearing range and output parallel light with the marking power and the marking lighting color, and then obtain the new shadow area through the updated image detection information and the preset shadow features, so that the shadow area can be supplemented by rotating the lighting device, and the accuracy of the anti-seepage level is improved.

[0012] Optionally, the method before controlling the lighting device to output parallel light with the marking power and the marking lighting color includes: Determine the marking intensity value according to the marking lighting color and the marking power; Retrieve the ambient light intensity value according to the ambient light information; Calculate the difference between the marking intensity value and the ambient light intensity value as the light intensity deviation value; When the light intensity deviation value exceeds the preset reference deviation value, calculate the difference between the light intensity deviation value and the reference deviation value as the supplementary intensity value; Update the marking power according to the supplementary intensity value and the marking lighting color.

[0013] By adopting the above technical solution, analyze the marking lighting color, the marking power, and the ambient light information to obtain the light intensity deviation value, and obtain the new marking power according to the exceeding situation of the light intensity deviation value and the reference deviation value, so that the shadow that appears when using the marking lighting color to output parallel light is easily recognized under the influence of the ambient light, and the accuracy of shadow area recognition is improved.

[0014] Optionally, the method after determining the shadow area includes: Determine the shadow color according to the marking lighting color and the ambient light information; Determine different shadow shapes on the smearing range according to the image detection information before and after update and the shadow color; Update the shadow area according to the shadow shape; Update the scanning information according to the updated shadow area; Determine different depression depths according to the updated scanning information; Determine the total depression mass according to the depression depth, the updated shadow area, and the preset sealing material specifications; Determine the anti-seepage level according to the total depression mass and the correction coefficient.

[0015] By adopting the above technical solution, the new shadow area is obtained by analyzing the shadow color, and different depression depths are obtained through the new shadow area. Then, the anti-seepage grade is obtained through the depression depth, the updated shadow area, the sealing material specification, and the correction coefficient, so as to further identify the shadow area and improve the accuracy of the anti-seepage grade.

[0016] Optionally, the method after determining the shadow area further includes: Controlling the circumferential rotation of the lighting device to output parallel light and obtaining lighting image information; Determining the convex shape that does not fall into the detected smeared surface according to the lighting image information; Determining the shadow boundary line according to the shadow shape; Determining the marked shadow shape according to the shadow boundary line and the shadow color; Selecting the convex shape with the largest area as the marked convex shape according to the convex shape; Determining the convex prediction range according to the lighting image information and the marked convex shape; Determining the shadow change color difference according to the convex prediction range, the marked convex shape, and the preset reference detection distance; Determining the color difference change range according to the marked shadow shape and the shadow change color difference; Updating the shadow area according to the color difference change range By adopting the above technical solution, when there is a convex shadow in the shadow area, the convex prediction range is obtained by analyzing the convex shape, and then the shadow change color difference is determined through the convex prediction range, the lighting position, and the reference detection distance, and the new shadow area is obtained through the shadow change color difference, the marked shadow shape, and the shadow boundary line, so as to improve the accuracy of shadow area recognition.

[0017] Optionally, the method for determining the convex prediction range includes: Controlling the lighting device to lift according to the preset reference height, controlling the lighting device to perform lighting according to the preset reference angle, and obtaining the lifted image information; Determining the target convex shape according to the lifted image information; Determining the height deviation value according to the target shadow shape and the marked convex shape; Determining the convex position according to the height deviation value; Determining the convex prediction range according to the convex shape and the convex position.

[0018] By adopting the above technical solution, the lifted image information is obtained by lifting the lighting device and controlling the lighting device to perform lighting at the reference angle, then the target convex shape is identified, and the convex prediction range is obtained through the target convex shape and the marked convex shape, so as to know the convex prediction range to facilitate the identification of the shadow area.

[0019] Optionally, the method for determining the impermeability grade includes: P = 10×α×(△M - C) / K - 1, where P is the impermeability grade, α is the correction coefficient, K and C are coefficients obtained from the operator's experiment, and △M is the total mass of the depression.

[0020] By adopting the above technical solution, the impermeability grade can be calculated through the above formula, thereby improving the accuracy of the impermeability grade.

[0021] In a second aspect, the present application provides a concrete impermeability detection system, adopting the following technical solution: A concrete impermeability detection system includes: An acquisition module, configured to acquire manufacturing specifications, detection image information, detection water pressure, image detection information, scanning information, running time, ambient light information, lighting image information, and elevation image information; A memory, configured to store a concrete impermeability detection method; A processor, configured to load and execute the program stored in the memory.

[0022] In a third aspect, the present application provides a terminal, adopting the following technical solution: A terminal includes a memory and a processor, and a concrete impermeability detection method capable of being loaded and executed by the processor is stored on the memory.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: 1. By controlling the operation of the water seepage device and analyzing the detection image information and seepage characteristics to obtain the impermeability grade, the impermeability of the concrete block can be automatically detected, reducing the situation where the sealing material is unevenly applied or there are deviations in the recorded seepage volume when manually applying the sealing material and observing the seepage volume, and improving the accuracy of detecting the impermeability grade of the concrete; 2. By installing the smeared and solidified concrete block into the suction device and controlling the operation of the suction device, and understanding the depression situation on the detection smeared surface through the image detection information to obtain the impermeability grade, the impermeability of the concrete block can be detected by suction, reducing the situation where the structure is damaged due to the entry of liquid or chemical substances into the pores of the concrete block; 3. When there are raised shadows in the shadow area, by changing the color difference of the raised shadows, marking the shadow shape, and the shadow boundary line to obtain a new shadow area, the accuracy of shadow area recognition can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a flowchart of a method for a concrete impermeability detection method according to an embodiment of the present invention; Figure 2 It is a method flowchart after determining the reference application amount and application range of the sealing material in an embodiment of the present invention; Figure 3 It is a method flowchart before outputting parallel light in an embodiment of the present invention; Figure 4 It is a method flowchart before controlling a light-emitting device to output parallel light with a marked power and a marked light-emitting color in an embodiment of the present invention; Figure 5 It is the method flow after determining the shadow area in an embodiment of the present invention Figure 1 ; Figure 6 It is the method flow after determining the shadow area in an embodiment of the present invention Figure 2 ; Figure 7 It is a method flowchart for determining the estimated range of protrusions in an embodiment of the present invention. Detailed implementation manners

[0025] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0026] A method for detecting the impermeability of concrete detects a concrete block through a water seepage device and an air suction device, and further adjusts according to the shadow condition of the depression on the sealing material when the air suction device detects the concrete block and the condition of the protrusion on the detection application surface, so as to be able to automatically detect the impermeability of the concrete block, reduce the situation that the sealing material is unevenly applied or the water seepage amount record deviates easily when manually applying the sealing material and observing the water seepage amount, and improve the accuracy of detecting the impermeability grade of the concrete.

[0027] Referring to Figure 1 , an embodiment of the present application discloses a method for detecting the impermeability of concrete, including the following steps: Step S100: Obtain the manufacturing specifications of the concrete block.

[0028] The manufacturing specifications refer to the specifications for manufacturing the concrete block, which can be obtained after being pre-entered by the operator. In this embodiment, the concrete block is cylindrical.

[0029] Step S101: Determine the reference application amount and application range of the sealing material according to the manufacturing specifications, and control a preset application device to apply according to the reference application amount and application range.

[0030] The sealing material used is a mixture of paraffin and rosin. The reference application amount refers to the amount of the sealing material applied to the two bottom surfaces of the concrete block, and the reference application amount is matched from a preset application database through the manufacturing specifications. The application range refers to the area of the two bottom surfaces of the concrete block, and the area of the bottom surface is retrieved from the manufacturing specifications as the application range.

[0031] The coating device includes a robotic arm and a scraper disposed on the robotic arm and used for coating the sealing material. The coating is performed by controlling the coating device with a reference coating amount and a coating range.

[0032] Step S102: After the sealing material solidifies, control a preset water seepage device to operate and obtain detection image information.

[0033] The water seepage device refers to a device used to detect concrete blocks. The water seepage device is used to gradually apply water pressure to the bottom surface of the concrete block to detect the impermeability grade of the concrete. The clamping device is a robotic claw. In this embodiment, before the water seepage device operates, a sealing ring needs to be installed on the side surface of the concrete block to reduce the water seepage from the side surface of the concrete block. And the water seepage device simultaneously performs impermeability detection on six concrete blocks with the same manufacturing specifications. The concrete blocks are clamped to the detection position of the water seepage device through a preset clamping device.

[0034] The detection image information is an image of the bottom surface of the concrete block far from the water seepage device taken by a camera.

[0035] Step S103: Determine the water seepage position according to the detection image information and a preset water seepage feature.

[0036] The water seepage feature is the color feature of water appearing on the bottom surface of the concrete block set by the technician. The water seepage position refers to the position where water appears on the bottom surface of the concrete block. The position of the image corresponding to the water seepage feature is identified from the detection image information as the water seepage position. Image recognition technology is common knowledge for those skilled in the art and will not be elaborated here.

[0037] Step S104: When the water seepage position does not coincide with a preset reference water seepage position, determine the number of water seepages according to the water seepage position.

[0038] The reference water seepage position is the position where side seepage water appears on the bottom surface of the concrete block set by the technician. When the water seepage position coincides with the reference water seepage position, it indicates that the sealing ring of the concrete block is abnormally broken, so this concrete block is excluded.

[0039] The number of water seepages refers to the number of concrete blocks with water seepage positions that do not coincide with the reference water seepage position on the water seepage device. When the water seepage position does not coincide with the reference water seepage position, it indicates that water seeps out from this concrete block. By counting the concrete blocks with water seepage positions that do not coincide with the reference water seepage position, the counting result is used as the number of water seepages.

[0040] Step S105: When the number of water seepages is consistent with a preset reference number, obtain the detection water pressure.

[0041] The reference number is the maximum number of concrete blocks with water seepage set by the technician.

[0042] The detected water pressure refers to the water pressure used to calculate the impermeability grade of the concrete block. When the amount of seepage is the same as the reference amount, it indicates that the impermeability grade of the concrete block can be calculated. Then, stop applying water pressure to the water seepage device, and retrieve the water pressure from the system of the water seepage device as the detected water pressure.

[0043] Step S106: Determine the impermeability grade based on the detected water pressure.

[0044] The impermeability grade refers to the level of impermeability of the concrete block. The higher the value of the grade, the better the impermeability. Calculate the impermeability grade by detecting the water pressure. The calculation method of the impermeability grade is common knowledge for those skilled in the art and will not be elaborated here.

[0045] Refer to Figure 2 , after determining the reference application amount and application range of the sealing material, the method further includes: Step S200: Determine the application surface according to the manufacturing specifications, control the application device to apply to one application surface with the reference application amount and application range, and use the applied application surface as the marked application surface.

[0046] The application surface refers to the two bottom surfaces of the concrete block with a cylindrical manufacturing specification. The marked application surface refers to the application surface of the concrete block on which the sealing material has been applied. Control the application device to apply to one application surface with the reference application amount and application range, and use the applied application surface as the marked application surface.

[0047] Step S201: After the marked application surface solidifies, control the marked application surface to face the preset suction device to install the concrete block, and control the application device to apply to the remaining application surfaces, and use the remaining application surfaces as the detected application surfaces.

[0048] The suction device includes a box body for placing the concrete block and an air pump connected to the box body and used to suck the air in the box body. A cavity for placing the concrete block is provided on the box body. The detected application surface refers to the bottom surface of the concrete block far from the suction device. After the marked application surface solidifies, control the clamping device to clamp the concrete block, install it into the box body with the marked application surface facing the air pump, and control the application device to apply to the remaining application surfaces, and use the remaining application surfaces as the detected application surfaces.

[0049] Step S202: Control the suction device to suck the marked application surface with a preset reference variable air pressure, control the polishing device to output parallel light with a preset standard polishing color, and obtain the image detection information of the detected application surface.

[0050] The reference variable air pressure is the air pressure that gradually increases when the suction device set by the technician sucks the box body. The polishing device refers to an LED parallel light source for outputting parallel light. On the polishing device, there is a telescopic rod for raising the LED parallel light source and a rotating shaft arranged between the telescopic rod and the LED parallel light source and used to control the angular change of the LED parallel light source. The parallel light output by the polishing device includes a smearing range. A guide rail for the circumferential rotation of the polishing device is provided on the box body.

[0051] The standard polishing color is the color of the parallel light initially output by the polishing device set by the technician.

[0052] The image detection information refers to taking an image of the detection smearing surface when the polishing device is polished by the camera, sucking the marked smearing surface with the reference variable air pressure by controlling the suction device, and controlling the polishing device to output parallel light with the standard polishing color.

[0053] Step S203: Determine the shadow area according to the image detection information and the preset shadow features.

[0054] The shadow features are the color, shape and other features of the shadow that appear when the detection smearing surface is sunken set by the technician. The shadow area refers to the area of the shadow that appears when the detection smearing surface is sunken. The area corresponding to the shadow features is identified from the image detection information as the shadow area. In this embodiment, when there is a depression on the detection smearing surface and the polishing device outputs parallel light, a shadow will appear at the edge of the depression close to the polishing device.

[0055] Step S204: Obtain the scanning information and the running time of the suction device according to the shadow area.

[0056] The scanning information refers to the dimensional parameters of scanning the shadow area. The dimensional parameters obtained by scanning the range of the shadow area on the detection smearing surface by a preset infrared device are used as the scanning information.

[0057] The running time refers to the length value of the running time of the suction device. When the suction device runs, timing starts, and the timing result is used as the running time.

[0058] Step S205: Determine the correction coefficient according to the running time.

[0059] The correction coefficient is a coefficient used to correct the impermeability grade. The correction coefficient is matched by inputting the running time into a preset correction database.

[0060] Step S206: Determine the impermeability grade according to the scanning information, the correction coefficient and the shadow area.

[0061] The impermeability grade is obtained by analyzing the scanning information, correction coefficient, and shadow area. In this embodiment, the impermeability of the concrete block is known by judging the depression of the sealing material on the concrete block. Since the longer the suction device operates and the sealing material begins to solidify during the operation time, the greater the suction required to make the sealing material depressed, it is necessary to correct the impermeability grade to improve the accuracy of the impermeability grade.

[0062] Referring to Figure 3 , the method before outputting parallel light includes: Step S300: Obtain the ambient light information around the concrete block.

[0063] The ambient light information refers to information such as the color and light intensity of the light in the environment around the concrete block. The color and light intensity of the light are detected by a preset color sensor and light sensor as the ambient light information.

[0064] Step S301: Determine the display light power according to the ambient light information, preset different reference lighting colors, and standard lighting colors.

[0065] The reference lighting color is the color that the lighting device can output parallel light set by the technician. The display light power refers to the minimum power that can be displayed under the influence of ambient light when the lighting device outputs the reference lighting color or the standard lighting color. The display light power corresponding to the corresponding color is matched by inputting the ambient light information, reference lighting color, and standard lighting color into a preset light database.

[0066] The light database contains the corresponding relationship between the ambient light information, reference lighting color, standard lighting color, and display light power. The light database is set manually and will not be elaborated here.

[0067] Step S302: Select the lighting color corresponding to the display light power with the smallest value from the display light powers as the marked lighting color, and use the display light power of the marked lighting color as the marked power.

[0068] The marked lighting color refers to the reference lighting color or standard lighting color of the display light power with the smallest value. The marked lighting color is selected by selecting the lighting color corresponding to the display light power with the smallest value from the display light powers. The marked power refers to the display light power of the marked lighting color, and the display light power of the marked lighting color is used as the marked power.

[0069] Step S303: Control the preset lighting device to rotate circumferentially along the coating range and output parallel light with the marked power and marked lighting color, and update the image detection information.

[0070] By controlling the lighting device to rotate circumferentially along the smearing range with the marking power and the marking lighting color and output parallel light, the image detection information is retrieved again when the lighting device starts circumferential rotation.

[0071] Step S304: Update the shadow area according to the updated image detection information and the preset shadow features.

[0072] By identifying the area corresponding to the shadow features from the updated image detection information, combining the shadows to obtain the contour of the shadow, and calculating the area contained in the contour as the new shadow area.

[0073] Refer to Figure 4 , the method before controlling the lighting device to output parallel light with the marking power and the marking lighting color includes: Step S400: Determine the marking intensity value according to the marking lighting color and the marking power.

[0074] The marking intensity value refers to the intensity value of the light detected on the smearing surface when the lighting device lights with the marking lighting color and the marking power. The marking intensity value is matched from the light database through the marking lighting color and the marking power. The light database also contains the corresponding relationship between the marking lighting color, the marking power, and the marking intensity value, which will not be elaborated here.

[0075] Step S401: Retrieve the ambient light intensity value according to the ambient light information.

[0076] The ambient light intensity value refers to the intensity value of the ambient light around the concrete block on the detected smearing surface, and the ambient light intensity value is retrieved from the ambient light information.

[0077] Step S402: Calculate the difference between the marking intensity value and the ambient light intensity value as the light intensity deviation value.

[0078] The light intensity deviation value refers to the deviation value between the marking intensity value and the ambient light intensity value, and the difference between the marking intensity value and the ambient light intensity value is calculated as the light intensity deviation value.

[0079] Step S403: When the light intensity deviation value exceeds the preset reference deviation value, calculate the difference between the light intensity deviation value and the reference deviation value as the supplementary intensity value.

[0080] The reference deviation value is the deviation value of the minimum intensity value of the shadow generated by the parallel light output by the lighting device under the influence of ambient light set by the technician.

[0081] Step S404: Update the marking power according to the supplementary intensity value and the marking lighting color.

[0082] The supplementary power is matched from the light database by inputting the supplementary intensity value and the marked lighting color, and the sum of the supplementary power and the marked power is calculated as the new marked power. The light database also contains the corresponding relationship between the supplementary intensity value, the marked lighting color, and the supplementary power, which will not be elaborated here.

[0083] Refer to Figure 5 , the method after determining the shadow area includes: Step S500: Determine the shadow color based on the marked lighting color and the ambient light information.

[0084] The shadow color refers to the color of the shadow that appears on the detected smear surface under the influence of the ambient light. The shadow color is matched from a preset shadow database by inputting the marked lighting color and the ambient light information. The shadow database contains the corresponding relationship between the marked lighting color, the ambient light information, and the shadow color. The shadow database is set manually and will not be elaborated here.

[0085] Step S501: Determine different shadow shapes on the smear range based on the image detection information before and after the update and the shadow color.

[0086] The shadow shape refers to the shape of the shadow that appears on the detected smear surface. The shape corresponding to the shadow color is identified from each image detection information as the shadow shape.

[0087] Step S502: Update the shadow area based on the shadow shape.

[0088] The area of the range formed by combining each shadow shape is used as the new shadow area. The probability of the shadow irradiated by the ambient light reaching the detected smear surface is reduced.

[0089] Step S503: Update the scan information based on the updated shadow area.

[0090] Control the infrared device to scan the updated shadow area to obtain new scan information.

[0091] Step S504: Determine different depression depths based on the updated scan information.

[0092] The depression depth refers to the depth of the depression within the updated shadow area, which is retrieved from the updated scan information.

[0093] Step S505: Determine the total depression mass based on the depression depth, the updated shadow area, and the preset sealing material specifications.

[0094] The specifications of the sealing material are the density and other specifications of the sealing material set by the technician. The total volume of the depressions is calculated by each depression depth and the updated shadow area, and the product of the total volume of the depressions and the density of the sealing material is calculated as the total mass of the depressions. The calculation method of the total volume of the depressions is common knowledge to those skilled in the art and will not be elaborated here.

[0095] Step S506: Determine the anti-seepage grade according to the total mass of the depressions and the correction coefficient.

[0096] The anti-seepage grade is obtained by analyzing the total mass of the depressions and the correction coefficient. The determination method of the anti-seepage grade includes: P = 10×α×(△M - C) / K - 1, where P is the anti-seepage grade, α is the correction coefficient, K and C are coefficients obtained from the operator's experiment, and △M is the total mass of the depressions.

[0097] Refer to Figure 6 , the method after determining the shadow area further includes: Step S600: Control the circumferential rotation of the lighting device to output parallel light and obtain lighting image information.

[0098] The lighting image information is an image of the position where the light finally shines when the parallel light horizontally irradiates the detection smear surface, which is captured by a camera preset on the lighting device. Refer to step S303 to control the circumferential rotation of the lighting device to output parallel light. Step S601: Determine the convex shape that does not fall on the detection smear surface according to the lighting image information.

[0099] The convex shape refers to the shadow shape of the convexity on the detection smear surface. The shape corresponding to the shadow feature is identified from the lighting image information as the convex shape.

[0100] Step S602: Determine the shadow boundary line according to the shadow shape.

[0101] The shadow boundary line refers to the contour boundary line of the shadow shape. The contour lines of each shadow shape are extracted as the shadow boundary line.

[0102] Step S603: Determine the marked shadow shape according to the shadow boundary line and the shadow color.

[0103] The marked shadow shape refers to the shape composed of the shadow boundary line and the shadow color. The shadow boundary line of the shadow shape with the shadow color is combined to form the marked shadow shape.

[0104] Step S604: Select the convex shape with the largest area as the marked convex shape according to the convex shape.

[0105] The marked convex shape refers to the convex shape with the largest area. The areas of each convex shape are calculated, and the convex shape with the largest area is selected as the marked convex shape.

[0106] Step S605: Determine the estimated range of the protrusion based on the light-illuminated image information and the marked protrusion shape.

[0107] The estimated range of the protrusion refers to the estimated range of the protrusion on the detection smear surface, and the estimated range of the protrusion is obtained by analyzing the light-illuminated image information and the marked protrusion shape.

[0108] Step S606: Determine the shadow change color difference based on the estimated range of the protrusion, the marked protrusion shape, and the preset reference detection distance.

[0109] The reference detection distance is the interval distance set by the technician for detecting the color difference of the shadow. The shadow change color difference refers to the color difference of the color change of the shadow generated by the protrusion of the marked protrusion shape on the detection smear surface. The shadow range corresponding to the marked protrusion shape is retrieved from the image detection information, and the non-intersecting range is obtained through the shadow range and the estimated range of the protrusion, and then the color difference of the shadow between the non-intersecting ranges at each reference detection distance is identified as the shadow change color difference. The method for identifying the color of the shadow is common knowledge to those skilled in the art and will not be elaborated here.

[0110] Step S607: Determine the color difference change range based on the marked shadow shape and the shadow change color difference.

[0111] The color difference change range refers to the range in the marked shadow shape where there is no shadow change color difference, and the range that is not the shadow change color difference is framed out from the marked shadow shape as the color difference change range.

[0112] Step S608: Update the shadow area based on the color difference change range.

[0113] The area corresponding to the color difference change range is used as the new shadow area.

[0114] Refer to Figure 7 , the method for determining the estimated range of the protrusion includes: Step S700: Control the light-illuminating device to lift according to the preset reference height, control the light-illuminating device to perform light illumination according to the preset reference angle, and obtain the lifted image information.

[0115] The reference height is the height that the light-illuminating device needs to lift for detecting the position of the protrusion set by the technician. The reference angle is the angle set by the technician for not changing the final position of the light output by the lifted light-illuminating device. The light-illuminating device is controlled to perform lifted light illumination at the reference height and the reference angle. The lifted image information is the image of the final illuminated position of the light output by the lifted and angle-changed light-illuminating device captured by the camera.

[0116] Step S701: Determine the target protrusion shape based on the lifted image information.

[0117] The target convex shape refers to the shadow shape of the illuminated convex of the lighting device after being lifted and with an angular change, and the shape corresponding to the shadow feature is identified from the lifted image information as the target convex shape.

[0118] Step S702: Determine the height deviation value according to the target shadow shape and the marked convex shape.

[0119] The height deviation value refers to the deviation value of the highest point between the target shadow shape and the marked convex shape. The target highest point is retrieved from the target shadow shape, the marked highest point is retrieved from the marked convex shape, and the straight-line distance perpendicular to the ground between the target highest point and the marked highest point is calculated as the height deviation value.

[0120] Step S703: Determine the convex position according to the height deviation value.

[0121] The convex position refers to the central position of the convex on the detected smear surface. The height deviation value is input into a preset offset database to match the offset distance, and the position point calculated based on the position of the lighting device and the offset distance is used as the convex position. The calculation method of the position point is common general knowledge for those skilled in the art and will not be elaborated here.

[0122] Step S704: Determine the estimated convex range according to the convex shape and the convex position.

[0123] By analyzing the convex shape, the detection area between the convex and the detected smear surface is obtained, and the detection area is combined with the convex position to obtain the estimated convex range. The analysis method of the detection area is common general knowledge for those skilled in the art and will not be elaborated here.

[0124] Based on the same inventive concept, an embodiment of the present invention provides a concrete impermeability detection system, including: An acquisition module, configured to acquire manufacturing specifications, detection image information, detection water pressure, image detection information, scanning information, running time, ambient light information, lighting image information, and lifted image information; A memory, configured to store a concrete impermeability detection method; A processor, configured to load and execute the program stored in the memory.

[0125] Based on the same inventive concept, an embodiment of the present invention provides a terminal, including a memory and a processor, and a concrete impermeability detection method capable of being loaded and executed by the processor is stored on the memory.

[0126] Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be allocated to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. For the specific working processes of the system, device, and unit described above, reference can be made to the corresponding processes in the foregoing method embodiments, and details are not described herein again.

[0127] The above is only the preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions falling within the concept of the present invention belong to the protection scope of the present invention. It should be noted that for those of ordinary skill in the art, several improvements and refinements made without departing from the principle of the present invention should also be regarded as within the protection scope of the present invention.

Claims

1. A method for detecting concrete impermeability, characterized in that: include: Obtain manufacturing specifications for concrete blocks; Determine the reference coating amount and coating range of the sealing material according to the manufacturing specifications, and control the preset coating device to apply the sealing material according to the reference coating amount and coating range; After the sealing material solidifies, the preset water seepage device is controlled to operate and the detection image information is obtained; Determine the water seepage location based on the detected image information and preset water seepage characteristics; When the water seepage position does not coincide with the preset reference water seepage position, the water seepage amount is determined according to the water seepage position; When the water seepage quantity is consistent with the preset reference quantity, the detection water pressure is obtained; The water pressure is tested to determine the level of impermeability.

2. A method for detecting concrete impermeability according to claim 1, characterized in that: The method for determining the base application amount and application range of the sealing material also includes: Determine the coating surface according to the manufacturing specification, control the coating device to coat the coating surface with the reference coating amount and coating range, and use the coated coating surface as the marked coating surface; After the marked smear surface solidifies, the marked smear surface is controlled to be installed toward the preset suction device to install the concrete block, and the smearing device is controlled to smear the remaining smear surface, and the remaining smear surface is used as the detection smear surface; Controlling the suction device to suck air from the marked surface with a preset reference variable air pressure, and controlling the lighting device to output parallel light with a preset standard lighting color, and obtaining image detection information of the detected surface; Determine the shadow area according to the image detection information and the preset shadow features; Obtain scanning information and the operating time of the suction device based on the shaded area; Determine the correction factor based on the operating time; The anti-seepage grade is determined based on the scan information, correction factor and shaded area.

3. A concrete impermeability detection method according to claim 2, characterized in that: Previous methods for outputting parallel light include: Get the ambient light information around the concrete block; Determine display light power according to ambient light information, different preset reference lighting colors and standard lighting colors; Select the lighting color corresponding to the display light power with the smallest value from the display light powers as the marked lighting color, and use the display light power of the marked lighting color as the marked power; Control the preset lighting device to output parallel light with the marking power and marking lighting color along the circumference of the coating range, and update the image detection information; The shadow area is updated according to the updated image detection information and the preset shadow features.

4. A method for detecting concrete impermeability according to claim 3, characterized in that: The method for controlling the lighting device to output parallel light with the marked power and the marked lighting color includes: Determine the marking intensity value according to the marking lighting color and marking power; Retrieving the ambient light intensity value according to the ambient light information; Calculate the difference between the mark intensity value and the ambient light intensity value as the light intensity deviation value; When the light intensity deviation value exceeds the preset reference deviation value, the difference between the light intensity deviation value and the reference deviation value is calculated as a supplementary intensity value; Updates the marker power based on the complementary intensity value and marker lighting color.

5. A method for detecting concrete impermeability according to claim 3, characterized in that: Methods for determining the shaded area include: Determine the shadow color based on the marked lighting color and ambient light information; Determine different shadow shapes in the smear range based on the image detection information and shadow colors before and after the update; Update the shadow area according to the shadow shape; Update the scanning information according to the updated shadow area; Determine different depression depths based on updated scanning information; Determine the total mass of the depression based on the depression depth, the updated shadow area, and the preset sealing material specifications; The anti-seepage grade is determined based on the total mass of the depression and the correction factor.

6. A method for detecting concrete impermeability according to claim 5, characterized in that: The method after determining the shadow area also includes: Control the lighting device to rotate circumferentially to output parallel light and obtain lighting image information; Determine the convex shape that does not fall into the detection coating surface according to the lighting image information; Determine the shadow boundary line based on the shadow shape; Determine the shape of the marked shadow according to the shadow boundary line and shadow color; According to the convex shapes, the convex shape with the largest area is selected as the marking convex shape; Determine the estimated range of the protrusion according to the lighting image information and the shape of the marked protrusion; Determine the color difference of shadow change according to the estimated range of the protrusion, the shape of the marked protrusion and the preset reference detection distance; Determine the range of color difference according to the shape of the marked shadow and the color difference of the shadow change; Update the shadow area according to the color difference range.

7. A method for detecting concrete impermeability according to claim 6, characterized in that: Methods for determining the estimated range of bulge include: Controlling the lighting device to lift up according to a preset reference height, and controlling the lighting device to perform lighting according to a preset reference angle, and obtaining elevated image information; Determine the target protrusion shape according to the elevation image information; Determine the height deviation value according to the target shadow shape and the marked raised shape; Determine the bulge position according to the height deviation value; The estimated range of the bulge is determined based on the bulge shape and bulge position.

8. A method for detecting concrete impermeability according to claim 5, characterized in that: The methods for determining the impermeability grade include: P=10×α×(△MC) / K-1, P is the anti-seepage grade, α is the correction coefficient, K and C are the coefficients obtained by the operator's experiment, and △M is the total mass of the depression.

9. A concrete impermeability detection system, characterized in that: include: An acquisition module, used to acquire manufacturing specifications, detection image information, detection water pressure, image detection information, scanning information, operating time, ambient light information, lighting image information, and elevation image information; A memory, used to store a concrete impermeability detection method according to any one of claims 1 to 8; The processor is used to load, execute and implement the program stored in the memory.

10. A terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a method for detecting the impermeability of concrete according to any one of claims 1 to 8 which can be loaded and executed by the processor.

Images