Special-shaped reinforced concrete structure steel bar protection layer detection method

Abstract

The invention discloses a special-shaped reinforced concrete structure reinforcement protection layer detection method, which comprises the following steps: step 1, a worker selects a to-be-detected special-shaped reinforced concrete structure, and prepares corresponding equipment and related equipment according to the shape and size of the to-be-detected special-shaped reinforced concrete structure; step 2, a worker scans the surface of the structure by using infrared scanning equipment to obtain infrared reflection data of the surface of the structure; 3, establishing a three-dimensional model of the structure through three-dimensional modeling software according to the data scanned by the infrared rays in the step 2; 4, performing image processing on the three-dimensional model established in the step 3, and extracting the position and shape information of the reinforcing steel bar; step 5, calculating and detecting the thickness of a reinforcing steel bar protective layer according to the reinforcing steel bar information extracted in the step 4; step 6, performing data analysis on a detection result in the step 5 to generate a detection report; according to the invention, the system can automatically identify and mark the area needing to be detected, and the detection efficiency is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of special-shaped reinforced concrete detection applications, and specifically to a method for detecting the steel bar cover of a special-shaped reinforced concrete structure. Background Technique

[0002] When detecting the steel bar cover of a concrete structure, the electromagnetic induction method is usually used to detect the position of steel bars, the cover thickness, the diameter of steel bars, the number of steel bars, the orientation and distribution in the concrete structure. The reinforced concrete structures widely used in engineering practice have regular planar shapes and irregular special shapes. Reinforced concrete structures are widely used in construction projects, and the quality of the steel bar cover directly affects the durability and safety of the structure. However, in actual construction, due to the influence of construction technology, environment and other factors, the steel bar cover may deviate, resulting in uneven stress of the structure and even potential safety hazards. Therefore, the detection and monitoring of the steel bar cover are crucial; currently, the existing steel bar cover detection methods mainly target concrete structures with regular shapes and have poor detection effects for special-shaped structures. Therefore, it is necessary to understand and master a method for detecting the steel bar cover of a special-shaped reinforced concrete structure. Summary of the Invention

[0003] The purpose of the present invention is to provide a method for detecting the steel bar cover of a special-shaped reinforced concrete structure to solve the problems raised in the above background technique.

[0004] To achieve the above purpose, the present invention provides the following technical solution: A method for detecting the steel bar cover of a special-shaped reinforced concrete structure, including Step 1, the material preparation stage; Step 2, infrared scanning; Step 3, three-dimensional modeling; Step 4, image processing; Step 5, steel bar cover detection; Step 6: data analysis and report generation;

[0005] Among them, in the above Step 1, the staff selects the special-shaped reinforced concrete structure to be detected and prepares the corresponding equipment and related materials according to its shape and size;

[0006] Among them, in the above Step 2, the staff uses an infrared scanning device to scan the surface of the structure to obtain the infrared reflection data of the structure surface;

[0007] Among them, in the above Step 3, the three-dimensional model of the structure is established by using the three-dimensional modeling software with the data obtained by infrared scanning in Step 2;

[0008] Among them, in the above Step 4, the three-dimensional model established in Step 3 is subjected to image processing to extract the position and shape information of the steel bars;

[0009] Among them, in the above Step 5, the steel bar information extracted in Step 4 is combined with the design drawings and construction records to calculate and detect the steel bar cover thickness;

[0010] In step six above, data analysis is performed on the detection results to generate a detection report, and rectification suggestions are put forward for the steel bar protective layers that do not meet the requirements.

[0011] Preferably, in step two, a laser scanner is used to scan the reinforced concrete structure to obtain the thickness data of the steel bar protective layer.

[0012] Preferably, in step three, the data processing module processes the scanned data to generate a 3D model of the steel bar protective layer and displays it on the display module in real time.

[0013] Preferably, in step four, various shapes and positions of steel bars in the special-shaped reinforced concrete structure are extracted and identified, and the areas of the steel bar protective layers to be detected are automatically identified and marked. Users can measure the steel bar protective layers in specific areas according to the marking results.

[0014] Preferably, in step five, information on the design drawings of the special-shaped reinforced concrete structure, the positions of the special-shaped reinforced concrete structure or the steel bars in its structure, the protective layer thickness and the steel bar diameter, or the number, orientation and distribution of the detected steel bars are collected. Then, the operation processing device performs pre-modeling based on the information on the design drawings of the special-shaped reinforced concrete structure collected to obtain theoretical modeling data and performs data analysis.

[0015] Compared with the prior art, the beneficial effects of the present invention are:

[0016] The system of the present invention also includes an AI algorithm, which identifies various shapes and positions of steel bars in the special-shaped reinforced concrete structure through training, and automatically identifies and marks the areas of the steel bar protective layers to be detected. Users can measure the steel bar protective layers in specific areas according to the marking results; moreover, the system is also provided with an automatic calibration function to avoid measurement errors caused by environmental factors (such as temperature, humidity, etc.). When the environmental factors change, the system will automatically calibrate to ensure the accuracy of the measurement results; at the same time, through laser scanning technology, the thickness data of the steel bar protective layer can be quickly obtained and a 3D model can be generated, which is convenient for users to intuitively understand the distribution of the steel bar protective layer. With the application of the AI algorithm, the system can automatically identify and mark the areas to be detected, greatly improving the detection efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic flow chart of the method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0019] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper", "lower", "inner", "outer", "front end", "rear end", "both ends", "one end", "the other end", etc. is based on the orientation or positional relationship shown in the accompanying drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0020] In the description of the present invention, it should be noted that unless otherwise clearly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0021] Please refer to Figure 1 , an embodiment provided by the present invention:

[0022] Embodiment 1

[0023] A method for detecting the steel bar protection layer of a special-shaped reinforced concrete structure includes Step 1: the material preparation stage; Step 2: infrared scanning; Step 3: three-dimensional modeling; Step 4: image processing; Step 5: detecting the steel bar protection layer; Step 6: data analysis and report generation.

[0024] In Step 1 above, the staff selects the special-shaped reinforced concrete structure to be detected and prepares the corresponding equipment and related materials according to its shape and size.

[0025] In Step 2 above, the staff uses an infrared scanning device to scan the surface of the structure to obtain the infrared reflection data of the structure surface.

[0026] In Step 3 above, a three-dimensional model of the structure is established by using the three-dimensional modeling software with the data obtained by infrared scanning in Step 2.

[0027] In step four above, perform image processing on the 3D model established in step three to extract the position and shape information of the steel bars.

[0028] In step five above, combine the steel bar information extracted in step four with the design drawings and construction records to calculate and detect the thickness of the steel bar protective layer.

[0029] In step six above, perform data analysis on the detection results to generate a detection report, and put forward rectification suggestions for the steel bar protective layer that does not meet the requirements.

[0030] The implementation mode of the present invention relates to a specific implementation process, including the following steps:

[0031] S1 Establish a 3D model based on the infrared scanning data;

[0032] S2 Extract steel bar information through image processing;

[0033] S3 Calculate the thickness of the steel bar protective layer according to the extracted steel bar information;

[0034] S4 Compare the detection results with the design drawings and construction records to determine whether they meet the requirements;

[0035] S5 Put forward rectification suggestions for the steel bar protective layer that does not meet the requirements or report to the relevant departments.

[0036] Embodiment 2

[0037] In step two, scan the reinforced concrete structure with a laser scanner to obtain the thickness data of the steel bar protective layer; the data processing module in step three processes the scanning data to generate a 3D model of the steel bar protective layer and displays it on the display module in real time; in step four, extract and identify the steel bars of various shapes and positions in the special-shaped reinforced concrete structure, automatically identify and mark the areas of the steel bar protective layer that need to be detected, and the user can measure the steel bar protective layer of specific areas according to the marking results; in step five, collect the information of the design drawings of the special-shaped reinforced concrete structure, the position of the special-shaped reinforced concrete structure or the steel bars in its structure, the thickness of the protective layer, the diameter of the steel bars or the detected number, trend and distribution of the steel bars, and then the operation processing device performs pre-modeling according to the collected information of the design drawings of the special-shaped reinforced concrete structure to obtain theoretical modeling data and perform data analysis.

[0038] Where the present invention is not described in detail are all well-known techniques to those skilled in the art.

[0039] Finally, it should be noted that the above specific implementation manners are only used to illustrate the technical solutions of the present invention rather than to limit them. Although the present invention has been described in detail with reference to the embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified and equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered by the scope of the claims of the present invention.

Claims

1. A method for detecting the steel bar cover of a special-shaped reinforced concrete structure, including Step 1, the material preparation stage; Step 2, infrared scanning; Step 3, 3D modeling; Step 4, image processing; Step 5, steel bar cover detection; Step 6, data analysis and report generation; characterized in that: In Step 1 above, the staff selects the special-shaped reinforced concrete structure to be detected and prepares the corresponding equipment and related materials according to its shape and size; In Step 2 above, the staff uses an infrared scanning device to scan the surface of the structure to obtain the infrared reflection data of the structure surface; In Step 3 above, the 3D model of the structure is established through 3D modeling software using the data obtained by infrared scanning in Step 2; In Step 4 above, the 3D model established in Step 3 is subjected to image processing to extract the position and shape information of the steel bars; In Step 5 above, the steel bar information extracted in Step 4 is combined with the design drawings and construction records to calculate and detect the thickness of the steel bar cover; In Step 6 above, the detection results in Step 5 are subjected to data analysis to generate a detection report, and rectification suggestions are put forward for the steel bar covers that do not meet the requirements.

2. The method for detecting the steel bar cover of a special-shaped reinforced concrete structure according to claim 1, characterized in that: In Step 2, a laser scanner is used to scan the reinforced concrete structure to obtain the thickness data of the steel bar cover.

3. A method for detecting the steel bar cover of a special-shaped reinforced concrete structure according to claim 1, characterized in that: The data processing module in Step 3 processes the scanned data to generate a 3D model of the steel bar cover and displays it on the display module in real time.

4. A method for detecting the steel bar cover of a special-shaped reinforced concrete structure according to claim 1, characterized in that: In Step 4, by extracting and identifying the steel bars of various shapes and positions in the special-shaped reinforced concrete structure, the areas of the steel bar covers to be detected are automatically identified and marked. The user can measure the steel bar covers in specific areas according to the marking results.

5. A method for detecting the steel bar cover of a special-shaped reinforced concrete structure according to claim 1, characterized in that: In Step 5, by collecting the information of the design drawings of the special-shaped reinforced concrete structure, the positions of the special-shaped reinforced concrete structure or the steel bars in the structure, the cover thickness and the steel bar diameter, or the number, orientation and distribution of the detected steel bars, and then the operation processing device pre-models according to the information of the design drawings of the special-shaped reinforced concrete structure collected to obtain the theoretical modeling data and conducts data analysis.

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