A method for detecting the surface roughness of complex irregular fair-faced concrete components

Abstract

This invention discloses a method for detecting the surface roughness of complex irregular-structure fair-faced concrete components, belonging to the field of fair-faced concrete component surface roughness detection technology. This method directly detects the surface roughness of complex irregular-structure fair-faced concrete components and includes surface classification, surface region division, and surface roughness measurement steps. The method classifies the surface type of the complex irregular-structure fair-faced concrete component, divides the surface into regions, then simulates the curved surface of the measuring ring at the bend angle to facilitate a better movement path for the measuring equipment, and finally fuzzifies the surface roughness at the bend angle to obtain the surface roughness of the complex irregular-structure fair-faced concrete component.

Description

Technical Field

[0001] This invention pertains to surface roughness testing technology for fair-faced concrete components, specifically relating to a method for testing the surface roughness of fair-faced concrete components with complex irregular structures. Background Technology

[0002] To meet the requirements of green, energy-saving, and environmentally friendly buildings, while also pursuing unique aesthetics and smooth lines, and given the modern structural emphasis on structural beauty, many buildings utilize irregularly shaped concrete structures to achieve the desired design effects. While concrete can fulfill architectural design requirements, irregularly shaped concrete structures present challenges in finishing and construction, resulting in complex joints. Furthermore, using ordinary concrete for structural pouring results in a rough surface, poor appearance, and the need for subsequent secondary finishing. Therefore, fair-faced concrete emerged, offering excellent natural beauty after molding and requiring no wall decoration, making it widely used in large-scale construction projects.

[0003] Existing technologies for measuring concrete surface roughness include sampling measurement or measurement on the concrete surface. Traditional concrete components may not require roughness measurement, and their relatively regular shapes allow for surface roughness measurement via point sampling or general methods. However, complex, irregularly shaped fair-faced concrete components often have unique shapes, frequently featuring numerous curves or angles, making point sampling or general measurement impossible. Measurement is particularly difficult at angles due to their unique spatial shape. Since surface roughness is a crucial parameter for complex, irregularly shaped fair-faced concrete components, this invention was proposed when existing technologies proved inadequate for this situation.

[0004] The existing technology CN201310018375.6, which describes an image analysis method for detecting the surface roughness of concrete, uses image grayscale analysis to calculate the surface roughness of concrete. Essentially, it is a non-contact roughness detection method that mainly relies on image grayscale recognition technology. However, since the images are taken from different angles, different grayscale values ​​will be obtained. This method cannot handle the complex surface shapes of fair-faced concrete components with complex irregular structures, especially the surface roughness of special shapes such as corners and curved surfaces.

[0005] The existing technology CN202310136777.X, which is a method for calculating the roughness of tunnel lining walls based on 3D scanning technology, is a surface roughness measurement method using 3D scanning. It is suitable for traditional curved surfaces such as tunnel lining walls. However, when encountering complex surface shapes on complex irregular fair-faced concrete components, especially special shapes such as corners and curved surfaces, the accuracy of 3D scanning will drop sharply due to problems such as interference from reflected signals at corners and other locations.

[0006] The existing technology CN202111564471.1, a method for measuring the surface roughness of tunnel lining concrete segments, improves the surface roughness measurement method by reducing the error in surface roughness calculation caused by shooting from different angles. It is essentially a non-contact measurement method, which is an improvement on the image analysis method for concrete surface roughness detection in CN201310018375.6, but it requires a more complex algorithm to improve accuracy.

[0007] The existing technology CN201911065755.9 describes a method for measuring the three-dimensional roughness of concrete surfaces. This method is based on 3D scanning and is a typical laboratory measurement method. It is suitable for situations where sampling is convenient or for concrete testing. However, it is difficult to apply to complex and irregular fair-faced concrete components, which are extremely complex in practical applications. In addition, the scanning accuracy of 3D scanning at corners remains a problem that 3D scanning technology cannot solve.

[0008] The existing technology CN201911065766.7, which describes a test method for the three-dimensional roughness of concrete surfaces based on 3D scanning reconstruction, is also a laboratory measurement method. However, it is difficult to apply to complex and irregular fair-faced concrete components, which are extremely complex in practical applications.

[0009] The existing technology CN201810758495.2 describes a method for measuring the surface roughness of concrete. It uses a microscope to take pictures of the concrete surface and then uses a computer algorithm to measure the surface roughness. However, this method is difficult to apply to complex and irregular fair-faced concrete components, which are extremely complex in practical applications.

[0010] Existing operating procedures, such as the draft "Technical Specification for Detecting the Roughness of Concrete Bond Surfaces by Laser Scanning Method," state that laser scanning measurement technology uses a laser beam to quickly capture the three-dimensional shape information of an object or environment. This technology can generate high-precision, high-resolution three-dimensional point cloud data of the scanned object or scene, thereby recording its shape and surface features in detail. Roughness is defined as the degree of undulation of the surface of a concrete bond surface relative to a reference surface, describing the protrusions or depressions. Summary of the Invention

[0011] The technical problem to be solved by the present invention is to provide a method for detecting the surface roughness of complex irregular structure fair-faced concrete components to solve the problems mentioned in the background art or achieve better technical effects.

[0012] To solve the above-mentioned technical problems, the inventors, through practice and summarization, derived the technical solution of this invention. This invention discloses a method for detecting the surface roughness of complex irregular structure fair-faced concrete components. The detection method is performed directly on the complex irregular structure fair-faced concrete components, and includes the following steps:

[0013] S1: Classification of complex, irregularly shaped fair-faced concrete components:

[0014] Class A: Plane class;

[0015] Class b: Curved surfaces;

[0016] Type C: Obtuse-angled fold;

[0017] Type d: Acute-angled folds;

[0018] S2: Perform 3D scanning on the surface of complex irregular fair-faced concrete components and divide the components into regions;

[0019] S3: Classify the regions divided in S2, and apply different detection methods to regions of different classifications:

[0020] S4: If the area is classified as category a, then proceed to S5;

[0021] If the area is classified as category b, then proceed to S6;

[0022] If the area is classified as category c, then proceed to S7;

[0023] If the area is classified as category d, proceed to S8;

[0024] S5: Directly obtain the surface roughness of region a;

[0025] S6: Flatten the shape of the surface of region b, and perform roughness surface scanning according to the shape of the surface. When scanning the roughness surface, the direction of the scanning ray is always perpendicular to the corresponding position on the surface and the distance between the ray and the corresponding position on the surface remains unchanged. Finally, the surface roughness of region b is obtained.

[0026] S7: Simulate the corner of the c-type region as a curved surface. At this time, the c-type region is transformed into a b-type region with a plane. Perform roughness surface scanning according to the shape of the curved surface and the plane. When performing roughness surface scanning, the direction of the scanning ray is always perpendicular to the corresponding position on the curved surface and the distance to the corresponding position on the curved surface remains unchanged. Finally, the surface roughness of the c-type region is obtained.

[0027] S8: Simulate the corner of the d-type region as a curved surface. At this time, the c-type region is transformed into a b-type region with a plane. Perform roughness surface scanning according to the shape of the curved surface and the plane. When performing roughness surface scanning, the direction of the scanning ray is always perpendicular to the corresponding position on the curved surface and the distance to the corresponding position on the curved surface remains unchanged. Finally, the surface roughness of the d-type region is obtained.

[0028] S9: Compile the above roughness data and combine it with the different requirements of each area on the surface of the complex irregular fair-faced concrete component to determine whether it meets the roughness requirements.

[0029] Preferably, the roughness of the corner portion in S7 is equal to the average roughness of the plane.

[0030] Preferably, the roughness of the corner portion in S8 is equal to the average roughness of the plane.

[0031] Preferably, S5 employs either a contact-type or a non-contact-type roughness measurement method.

[0032] Compared with the prior art, the present invention can achieve the following technical effects:

[0033] This invention provides a method for detecting the surface roughness of complex irregular structure fair-faced concrete components. The method classifies the surface type of complex irregular structure fair-faced concrete components and divides the surface into regions. Then, the measuring ring simulates the bends at the bends to facilitate a better movement path for the measuring equipment. Finally, the surface roughness at the bends is fuzzified to obtain the surface roughness of the complex irregular structure fair-faced concrete components. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 A schematic diagram of the planar area of ​​an irregularly shaped fair-faced concrete component;

[0036] Figure 2 A schematic diagram of the curved surface area of ​​an irregularly shaped fair-faced concrete component.

[0037] Figure 3 A schematic diagram of the obtuse angle bend area of ​​an irregularly shaped fair-faced concrete component;

[0038] Figure 4 A schematic diagram of the obtuse and acute angle regions of an irregularly shaped fair-faced concrete component.

[0039] Figure 5 A schematic diagram of the scanning path for the curved surface region of an irregularly shaped fair-faced concrete component.

[0040] Figure 6 A schematic diagram of the surface transformation state and scanning path of the obtuse angle region of an irregularly shaped fair-faced concrete component;

[0041] Figure 7 A schematic diagram of the surface transformation state and scanning path of the acute angle region of an irregularly shaped fair-faced concrete component;

[0042] Figure 8 A schematic diagram showing the actual state and scanning path of the obtuse angled bend area of ​​an irregularly shaped fair-faced concrete component.

[0043] Figure 9 This is a schematic diagram showing the actual state and scanning path of the acute angled area of ​​an irregularly shaped fair-faced concrete component. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0045] The application principle of the present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0046] Example

[0047] like Figure 1-9 A method for detecting the surface roughness of complex irregular-structure fair-faced concrete components, wherein the detection method is performed directly on the complex irregular-structure fair-faced concrete components, and the detection method includes the following steps:

[0048] S1: Classification of complex, irregularly shaped fair-faced concrete components:

[0049] Class A: Plane class;

[0050] Class b: Curved surfaces;

[0051] Type C: Obtuse-angled fold;

[0052] Type d: Acute-angled folds;

[0053] S2: Perform 3D scanning on the surface of complex irregular fair-faced concrete components and divide the components into regions;

[0054] S3: Classify the regions divided in S2, and apply different detection methods to regions of different classifications:

[0055] S4: If the area is classified as category a, then proceed to S5;

[0056] If the area is classified as category b, then proceed to S6;

[0057] If the area is classified as category c, then proceed to S7;

[0058] If the area is classified as category d, proceed to S8;

[0059] S5: Directly obtain the surface roughness of region a;

[0060] S6: Sketch the shape of the surface in region b, and perform a roughness surface scan based on the surface shape. During the roughness surface scan, the scanning ray direction is always perpendicular to the corresponding position on the surface, and the distance between the ray and the corresponding position on the surface remains constant. Finally, the surface roughness of region b is obtained (e.g., Figure 5 );

[0061] S7: Simulate the corners of region C as curved surfaces using fillet conversion. Specifically, first set the radius of the fillet, then find the center of the fillet that is tangent to both sides of the corner, create the fillet, and connect the two ends of the fillet to the two sides of the corner (e.g., ...). Figure 6 , Figure 7 At this point, region c is transformed into region b with a plane. Roughness surface scanning is performed based on the shape of the curved surface and the plane. During roughness surface scanning, the direction of the scanning ray is always perpendicular to the corresponding position on the curved surface and the distance between the ray and the corresponding position on the curved surface remains unchanged. Finally, the surface roughness of region c is obtained.

[0062] S8: Simulate the corner of region d as a curved surface using a fillet conversion. Specifically, first set the radius of the fillet, then find the center of the fillet that is tangent to both sides of the corner, create the fillet, and connect the two ends of the fillet to the two sides of the corner (e.g., ...). Figure 6 , Figure 7 At this point, region c is transformed into region b with a plane. Roughness surface scanning is performed based on the shape of the curved surface and the plane. During roughness surface scanning, the direction of the scanning ray is always perpendicular to the corresponding position on the curved surface and the distance to the corresponding position on the curved surface remains unchanged. Finally, the surface roughness of region d is obtained.

[0063] S9: Compile the above roughness data and combine it with the different requirements of each area on the surface of the complex irregular fair-faced concrete component to determine whether it meets the roughness requirements.

[0064] in:

[0065] Since the simulated curved path cannot measure the corner portion because the measuring instrument cannot be perpendicular to the surface at the corner, it cannot receive the reflected signal. Therefore, when the measuring instrument passes through the corner portion, the data of the corner portion will be lost or cannot be used as a reference. Therefore, in this invention, this portion is fuzzified. For example, in S7, the roughness of the corner portion is equal to the average roughness of the plane, and in S8, the roughness of the corner portion is equal to the average roughness of the plane. For example, if the average roughness of the plane is a, the roughness value at the corner is simulated as a.

[0066] Although it is impossible to measure the corners precisely, the corners of complex irregular fair-faced concrete components are usually few and account for a small area. Therefore, smaller equipment can be used to measure them and the corners can be manually treated.

[0067] Since the measurement difficulty of a flat surface is the same as that of a traditional concrete surface, S5 adopts one of the contact and non-contact roughness measurement methods.

[0068] S6-S8 involve scanning measurements of surface roughness, therefore a non-contact roughness measurement method is selected.

[0069] In this invention, the transformation of a folded corner into a curved surface can be achieved by selecting a certain proportion based on the length of the folded corner side to transform the folded corner into a rounded corner. For example, if the length of the folded corner side is a, the diameter of the resulting rounded corner is usually 0.1a.

[0070] The scanning path and scanning angle of this invention can be achieved by equipment such as a measuring vehicle. In locations where it is inconvenient to use a measuring vehicle, fully trained personnel can perform manual scanning and measurement.

[0071] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, it is intended that all variations falling within the meaning and scope of equivalents of the claims be included within the present invention.

[0072] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A method for detecting the surface roughness of complex irregular-structure fair-faced concrete components, characterized in that: The detection method is applied directly to complex, irregularly shaped fair-faced concrete components, and includes the following steps: S1: Classification of complex, irregularly shaped fair-faced concrete components: Class A: Plane class; Class b: Curved surfaces; Type C: Obtuse-angled fold; Type d: Acute-angled folds; S2: Perform 3D scanning on the surface of complex irregular fair-faced concrete components and divide the components into regions; S3: Classify the regions divided in S2, and apply different detection methods to regions of different classifications: S4: If the area is classified as category a, then proceed to S5; If the area is classified as category b, then proceed to S6; If the area is classified as category c, then proceed to S7; If the area is classified as category d, proceed to S8; S5: Directly obtain the surface roughness of region a; S6: Flatten the shape of the surface of region b, and perform roughness surface scanning according to the shape of the surface. When scanning the roughness surface, the direction of the scanning ray is always perpendicular to the corresponding position on the surface and the distance between the ray and the corresponding position on the surface remains unchanged. Finally, the surface roughness of region b is obtained. S7: Simulate the corner of the c-type region as a curved surface. At this time, the c-type region is transformed into a b-type region with a plane. Perform roughness surface scanning according to the shape of the curved surface and the plane. When performing roughness surface scanning, the direction of the scanning ray is always perpendicular to the corresponding position on the curved surface and the distance to the corresponding position on the curved surface remains unchanged. Finally, the surface roughness of the c-type region is obtained. S8: Simulate the corner of the d-type region as a curved surface. At this time, the c-type region is transformed into a b-type region with a plane. Perform roughness surface scanning according to the shape of the curved surface and the plane. When performing roughness surface scanning, the direction of the scanning ray is always perpendicular to the corresponding position on the curved surface and the distance to the corresponding position on the curved surface remains unchanged. Finally, the surface roughness of the d-type region is obtained. S9: Compile the above roughness data and combine it with the different requirements of each area on the surface of the complex irregular fair-faced concrete component to determine whether it meets the roughness requirements.

2. The method for detecting the surface roughness of complex irregular structure fair-faced concrete components according to claim 1, characterized in that: The roughness of the bend in S7 is equal to the average roughness of the plane.

3. The method for detecting the surface roughness of complex irregular structure fair-faced concrete components according to claim 1, characterized in that: The roughness of the corner portion in S8 is equal to the average roughness of the plane.

4. The method for detecting the surface roughness of complex irregular structure fair-faced concrete components according to claim 1, characterized in that: The roughness measurement method used in S5 is either contact or non-contact.

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