Method for detecting surface roughness of bare concrete member with complex special-shaped structure

Abstract

The invention discloses a method for detecting the surface roughness of a bare concrete member with a complex special-shaped structure, and belongs to the technology for detecting the surface roughness of the bare concrete member. According to the method for detecting the surface roughness of the bare concrete member with the complex special-shaped structure, detection is directly carried out on the bare concrete member with the complex special-shaped structure, and the detection method comprises the steps of surface classification, surface area division and surface roughness measurement. According to the method for detecting the surface roughness of the bare concrete member with the complex special-shaped structure, the types of the surface of the bare concrete member with the complex special-shaped structure are classified, the surface is subjected to regional division, and then curved-surface simulation is carried out on a folding angle on a measuring ring piece, so that measuring equipment has a relatively good moving path; and finally, performing fuzzification treatment on the surface roughness of the folded angle to obtain the surface roughness of the bare concrete member with the complex special-shaped structure.

Description

Technical Field

[0001] The invention belongs to the surface roughness detection technology of plain concrete components, and specifically relates to a surface roughness detection method of plain concrete components with complex heterogeneous structures. Background Art

[0002] In order to meet the requirements of green, energy-saving and environmental protection of buildings, and at the same time pursue the unique beauty and smooth lines of products, and modern structures pursue the beauty of structures, most buildings use special-shaped concrete structures to meet the molding effects required by the design. Although concrete can meet the shape of architectural design, the special-shaped concrete structure makes the decoration construction difficult and the nodes complex. In addition, if ordinary concrete is used for structural casting, the surface of the structure is relatively rough, the appearance quality is poor, and secondary treatment is required in the later stage. Therefore, plain concrete came into being. After molding, it has a good natural beauty and does not require any decoration on the wall. It is widely used in some large-scale construction projects.

[0003] In the prior art, the measurement methods for the surface roughness of concrete include sampling measurement or measurement on the concrete surface. First, there may be no measurement requirements for the roughness of traditional concrete parts. Secondly, the shape of traditional concrete parts is relatively regular, and the surface roughness can be measured by point measurement or general measurement. However, the shape of the complex heterogeneous structured plain concrete components is relatively special, and usually there are more arcs or corners, which makes it impossible to measure the surface roughness by point measurement or general measurement. In particular, due to the special spatial shape of the corners, it is difficult to measure, and the surface roughness of the complex heterogeneous structured plain concrete components is a more important indicator parameter. Therefore, when the prior art cannot be applied to this situation, the present invention is proposed.

[0004] The image analysis method for concrete surface roughness detection in the prior art CN201310018375.6 uses image grayscale analysis to calculate the surface roughness of concrete. It is essentially a non-contact roughness detection method that mainly relies on image grayscale recognition technology. However, when images are taken at different angles, different grayscales will be obtained. It cannot cope with the complex surface shapes on complex heterogeneous structured plain concrete components, especially the surface roughness of special shapes such as corners and curved surfaces.

[0005] The prior art CN202310136777.X tunnel lining wall roughness calculation method based on 3D scanning technology belongs to the surface roughness measurement method of 3D scanning, which is suitable for traditional curved surfaces such as tunnel lining walls. When encountering complex surface shapes on complex heterogeneous structure plain 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 parts.

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

[0007] Prior art CN201911065755.9 A method for measuring the three-dimensional roughness of a concrete surface is a concrete surface roughness measurement technology based on 3D scanning, a typical laboratory measurement method, suitable for convenient sampling or concrete testing, but difficult to apply to complex heterogeneous structure plain concrete components, which are extremely complex in actual application. In addition, the scanning accuracy of 3D scanning for the roughness at corners is still a problem that cannot be solved by 3D scanning technology.

[0008] The prior art CN201911065766.7, a test method for reconstructing the three-dimensional roughness of the concrete surface based on 3D scanning, is also a laboratory measurement method, but it is difficult to apply to components with complex heterogeneous structures, such as plain concrete components, which are extremely complex in practical applications.

[0009] Prior art CN201810758495.2 A method for measuring the surface roughness of concrete uses a microscope to take a photo of the concrete surface and then uses a computer algorithm to measure the surface roughness. However, it is difficult to apply to components with complex heterogeneous structures, such as plain concrete components, which are extremely complex in practical applications.

[0010] Existing operating procedures, for example, in the draft for comments on the Technical Specification for Testing the Roughness of Concrete Bonding Surfaces by Laser Scanning: Laser scanning measurement technology uses a laser beam to quickly capture the three-dimensional topography 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: describing the degree of undulation of the convex or concave surface of the concrete bonding surface relative to the reference surface. 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 a plain concrete component with a complex heterogeneous structure to solve the problems mentioned in the background technology or to achieve a better technical effect.

[0012] In order to solve the above technical problems, the inventors have obtained the technical solution of the present invention through practice and summary. The present invention discloses a method for detecting the surface roughness of a complex heterogeneous structure bare concrete component. The detection method directly detects on the complex heterogeneous structure bare concrete component. The detection method comprises the following steps:

[0013] S1: Classification of the surface of complex and heterogeneous structured bare concrete components:

[0014] Class a: plane class;

[0015] Category b: curved surface;

[0016] Category C: obtuse folded surface;

[0017] Category d: sharp angle fold surface;

[0018] S2: 3D scan the surface of the complex and heterogeneous structured bare concrete components and divide the components into regions;

[0019] S3: Classify the areas divided in S2 and use different detection methods for areas of different classifications:

[0020] S4: If the divided area is classified as Class A, proceed to S5;

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

[0022] If the divided area is classified as Class C, then proceed to S7;

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

[0024] S5: Directly obtain the surface roughness of the a-type area;

[0025] S6: trace the shape of the surface of the class b area, and perform roughness surface scanning according to the shape of the surface. When scanning the roughness surface, the scanning ray direction is always perpendicular to the corresponding position on the surface and the distance from the corresponding position on the surface remains unchanged, and finally the surface roughness of the class b area is obtained;

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

[0027] S8: The corner of the D-type area is simulated as a curved surface. At this time, the C-type area is transformed into the B-type area with a plane. The roughness surface is scanned according to the shapes of the curved surface and the plane. When scanning the roughness surface, the scanning ray direction is always perpendicular to the corresponding position on the curved surface and the distance from the corresponding position on the curved surface remains unchanged. Finally, the surface roughness of the D-type area is obtained.

[0028] S9: Organize the above roughness data and combine them with the different requirements of each area on the surface of the complex heterogeneous structure bare concrete component to determine whether it meets the roughness requirements.

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

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

[0031] Preferably, in S5, one of contact and non-contact roughness measurement methods is adopted.

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

[0033] The present invention provides a method for detecting the surface roughness of a complex heterogeneous structure fair-faced concrete component. The method classifies the types of surfaces of the complex heterogeneous structure fair-faced concrete components and divides the surfaces into regions. Then, a curved surface simulation is performed on the corners on a measuring ring to facilitate a better moving path for a measuring device. Finally, the surface roughness at the corners is fuzzy processed to obtain the surface roughness of the complex heterogeneous structure fair-faced concrete component. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0035] Figure 1 It is a schematic diagram of the plane area of ​​the heterogeneous structure plain concrete component;

[0036] Figure 2 It is a schematic diagram of the curved surface area of ​​a plain concrete component with a heterogeneous structure;

[0037] Figure 3 This is a schematic diagram of the obtuse angle area of ​​the plain concrete component with heterogeneous structure;

[0038] Figure 4 It is a schematic diagram of the obtuse and acute angle areas of the bare concrete components with heterogeneous structures;

[0039] Figure 5 It is a schematic diagram of the scanning path of the curved surface area of ​​the exposed concrete component with heterogeneous structure;

[0040] Figure 6 It is a schematic diagram of the surface transformation state and scanning path of the obtuse angle area of ​​the heterogeneous structure plain concrete component;

[0041] Figure 7 It is a schematic diagram of the surface transformation state and scanning path of the sharp angle area of ​​the exposed concrete component with heterogeneous structure;

[0042] Figure 8 It is a schematic diagram of the actual state and scanning path of the obtuse angle area of ​​the heterogeneous structure plain concrete component;

[0043] Fig. 9 Schematic diagram of the actual state and scanning path of the sharp-angled corner area of ​​the heterogeneous structure plain concrete component. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0045] The application principle of the present invention is further described below in conjunction with the accompanying drawings and specific embodiments.

[0046] Example

[0047] like Figure 1-9 A method for detecting the surface roughness of a complex heterogeneous structure bare concrete component is provided. The detection method is directly performed on the complex heterogeneous structure bare concrete component. The detection method comprises the following steps:

[0048] S1: Classification of the surface of complex and heterogeneous structured bare concrete components:

[0049] Class a: plane class;

[0050] Category b: curved surface;

[0051] Category C: obtuse folded surface;

[0052] Category d: sharp angle fold surface;

[0053] S2: 3D scan the surface of the complex and heterogeneous structured bare concrete components and divide the components into regions;

[0054] S3: Classify the areas divided in S2 and use different detection methods for areas of different classifications:

[0055] S4: If the divided area is classified as Class A, proceed to S5;

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

[0057] If the divided area is classified as Class C, then proceed to S7;

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

[0059] S5: Directly obtain the surface roughness of the a-type area;

[0060] S6: trace the shape of the surface in the b-type area, 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 from the corresponding position on the surface remains unchanged. Finally, the surface roughness of the b-type area (such as Figure 5 );

[0061] S7: The corner of the c-type area is simulated as a curved surface. The method of simulating the curved surface is fillet conversion. Specifically, the radius of the fillet is set first, and then the center position of the fillet that is tangent to both sides of the corner is found at the corner to establish the fillet. The two ends of the fillet are connected to the two sides of the corner respectively (such as Figure 6 , Figure 7 ), at this time, the c-type area is transformed into a b-type area with a plane, and the roughness surface is scanned according to the shapes of the curved surface and the plane. When scanning the roughness surface, the scanning ray direction is always perpendicular to the corresponding position on the curved surface and the distance from the corresponding position on the curved surface remains unchanged, and finally the surface roughness of the c-type area is obtained;

[0062] S8: The corner of the d-type area is simulated as a curved surface. The method of simulating the curved surface is fillet conversion. Specifically, the radius of the fillet is set first, and then the center position of the fillet that is tangent to both sides of the corner is found at the corner to establish the fillet. The two ends of the fillet are connected to the two sides of the corner respectively (such as Figure 6 , Figure 7 ), at this time, the C-type area is transformed into the B-type area with a plane, and the roughness surface is scanned according to the shape of the curved surface and the plane. When scanning the roughness surface, the scanning ray direction is always perpendicular to the corresponding position on the curved surface and the distance from the corresponding position on the curved surface remains unchanged, and finally the surface roughness of the D-type area is obtained;

[0063] S9: Organize the above roughness data and combine them with the different requirements of each area on the surface of the complex heterogeneous structure bare concrete component to determine whether it meets the roughness requirements.

[0064] in:

[0065] Since the simulated curved path cannot measure the angled part, and the measuring instrument cannot be perpendicular to the surface on the angled part, the measuring instrument cannot receive the reflected signal. Therefore, when the measuring instrument passes the angled part, the data of the angled part will be lost or cannot be used as a reference. Therefore, in the present invention, fuzzy processing is adopted for this part. For example, the roughness of the angled part in S7 is equal to the average value of the roughness of the plane, and the roughness of the angled part in S8 is equal to the average value of the roughness of the plane. For example, the average roughness value of the plane is a, and the roughness value of the angle is simulated to be a.

[0066] Although it is impossible to accurately measure the corners, the corners of ordinary complex and heterogeneous structural bare concrete components are usually fewer and occupy a smaller area. Smaller equipment can be used for measurement and the corners can be processed manually.

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

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

[0069] In the present invention, the conversion of the corner into a curved surface can be achieved by selecting a certain ratio according to the length of the corner side to convert the corner into a rounded corner. For example, if the length of the corner side is a, the diameter of the converted rounded corner is usually 0.1a.

[0070] The scanning path and scanning angle of the present invention can be realized by a measuring vehicle and other equipment, and fully trained users can perform manual scanning and measurement at locations where the measuring vehicle is inconvenient to use.

[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 present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be considered exemplary and non-restrictive in all respects, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present invention.

[0072] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A method for detecting the surface roughness of a complex and heterogeneous structured plain concrete component, characterized in that: The detection method is directly used for testing on a complex and heterogeneous structured bare concrete component, and the detection method comprises the following steps: S1: Classification of the surface of complex and heterogeneous structured bare concrete components: Class a: plane class; Category b: curved surface; Category C: obtuse folded surface; Category d: sharp angle fold surface; S2: 3D scan the surface of the complex and heterogeneous structured bare concrete components and divide the components into regions; S3: Classify the areas divided in S2 and use different detection methods for areas of different classifications: S4: If the divided area is classified as Class A, proceed to S5; If the divided area is classified as category b, proceed to S6; If the divided area is classified as Class C, then proceed to S7; If the divided area is classified as category d, proceed to S8; S5: Directly obtain the surface roughness of the a-type area; S6: trace the shape of the surface of the class b area, and perform roughness surface scanning according to the shape of the surface. When scanning the roughness surface, the scanning ray direction is always perpendicular to the corresponding position on the surface and the distance from the corresponding position on the surface remains unchanged, and finally the surface roughness of the class b area is obtained; S7: The corner of the c-type area is simulated as a curved surface. At this time, the c-type area is transformed into a b-type area with a plane. The roughness surface is scanned according to the shapes of the curved surface and the plane. When scanning the roughness surface, the scanning ray direction is always perpendicular to the corresponding position on the curved surface and the distance from the corresponding position on the curved surface remains unchanged. Finally, the surface roughness of the c-type area is obtained. S8: The corner of the D-type area is simulated as a curved surface. At this time, the C-type area is transformed into the B-type area with a plane. The roughness surface is scanned according to the shapes of the curved surface and the plane. When scanning the roughness surface, the scanning ray direction is always perpendicular to the corresponding position on the curved surface and the distance from the corresponding position on the curved surface remains unchanged. Finally, the surface roughness of the D-type area is obtained. S9: Organize the above roughness data and combine them with the different requirements of each area on the surface of the complex heterogeneous structure bare concrete component to determine whether it meets the roughness requirements.

2. The method for detecting the surface roughness of a complex and heterogeneous structured plain concrete member according to claim 1, characterized in that: The roughness of the angled portion in S7 is equal to the average value of the plane roughness.

3. The method for detecting the surface roughness of a complex and heterogeneous structured plain concrete member according to claim 1, characterized in that: The roughness of the angled portion in S8 is equal to the average value of the plane roughness.

4. The method for detecting the surface roughness of a complex and heterogeneous structured plain concrete member according to claim 1, characterized in that: In the S5, one of the contact type and non-contact type roughness measurement methods is adopted.

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