Intelligent crack recognition device for concrete member

Abstract

The utility model discloses a kind of concrete member crack intelligent identification devices, belong to detection equipment technical field, including unmanned aerial vehicle detection mechanism and control remote controller, unmanned aerial vehicle detection mechanism includes unmanned aerial vehicle body and the detection assembly of unmanned aerial vehicle body bottom installation, detection assembly includes laser radar detection unit, marking unit, shooting unit and controller, laser radar detection unit, marking unit and shooting unit are electrically connected with controller.The utility model uses above-mentioned a kind of concrete member crack intelligent identification device, scanning is carried out by unmanned aerial vehicle body and first laser radar and second laser radar integration, and realizes efficient detection with optical camera, significantly improves crack identification precision, and accurately locates crack using fluorescent marking unit, provides accurate crack position for personnel repair.

Description

Technical Field

[0001] This utility model relates to the field of detection equipment technology, and in particular to an intelligent identification device for cracks in concrete components. Background Technology

[0002] Traditional concrete component crack detection relies on high-risk manual operations (such as high-altitude climbing), which suffers from low efficiency, poor safety, high subjective misjudgment rate (difficulty in distinguishing cracks from structural cracks / stains), and inaccurate marking and positioning. Existing UAV detection technologies are mostly limited to single image acquisition, lacking deep information fusion and intelligent closed-loop processing capabilities, and cannot achieve accurate crack identification and automated marking, making it difficult to meet the urgent needs of efficient maintenance of large infrastructure. Utility Model Content

[0003] The purpose of this invention is to provide an intelligent crack recognition device for concrete components. It integrates a drone body with a first and a second lidar for scanning and an optical camera for efficient detection, significantly improving the accuracy of crack recognition. It also uses a fluorescent marker unit to accurately locate cracks, providing accurate crack locations for personnel to repair.

[0004] To achieve the above objectives, this utility model provides an intelligent identification device for cracks in concrete components, including a drone detection mechanism and a remote controller. The drone detection mechanism includes a drone body and a detection component installed on the bottom of the drone body. The detection component includes a laser radar detection unit, a marking unit, a shooting unit, and a controller. The laser radar detection unit, the marking unit, and the shooting unit are all electrically connected to the controller.

[0005] Preferably, the remote control has a display screen, and the controller and the remote control are electrically connected.

[0006] Preferably, the lidar detection unit includes a first lidar and a second lidar, both of which are mounted on the housing, and an imaging unit is installed between the first lidar and the second lidar.

[0007] Preferably, the shooting unit includes an optical camera, which is fixedly mounted on the housing and positioned at the center between the first lidar and the second lidar.

[0008] Preferably, the marking unit includes a tank, a fixing frame, and a pressurizing component. The tank and the pressurizing component are connected. The launching component and the tank are both placed inside the fixing frame. The fixing frame is fixedly connected to the housing. The angle between the tank and the horizontal plane is 30-45°.

[0009] Preferably, an angle adjustment component is installed between the drone body and the shell.

[0010] Therefore, this utility model adopts the above-mentioned intelligent crack recognition device for concrete components. It integrates the UAV body with the first and second lidar for scanning and achieves efficient detection with an optical camera, significantly improving the crack recognition accuracy. It also uses a fluorescent marker unit to accurately locate the crack, providing accurate crack location for personnel repair.

[0011] The technical solution of this utility model will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0012] Figure 1 This is a schematic diagram of the control remote control structure of an embodiment of the intelligent identification device for cracks in concrete components according to this utility model;

[0013] Figure 2 This is a schematic diagram of the structure of a drone monitoring mechanism according to an embodiment of the intelligent identification device for cracks in concrete components of this utility model.

[0014] Figure Labels

[0015] 1. Control remote controller; 2. UAV body; 3. Shell; 4. First lidar; 5. Second lidar; 6. Optical camera; 7. Tank; 8. Fixing frame; 9. Angle adjustment assembly. Detailed Implementation

[0016] The technical solution of this utility model will be further described below with reference to the accompanying drawings and embodiments.

[0017] Unless otherwise defined, the technical or scientific terms used in this utility model shall have the ordinary meaning understood by one of ordinary skill in the art to which this utility model pertains. The terms "first," "second," and similar terms used in this utility model do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0018] Example 1

[0019] like Figures 1 to 2As shown, this utility model provides an intelligent crack recognition device for concrete components, including a drone detection mechanism and a control remote controller 1. The drone detection mechanism includes a drone body 2 and a detection component installed on the bottom of the drone body 2. The drone body 2 is an aerial mobile platform and carrier, providing an installation position for the detection component installed on the bottom. The detection component is used to perform crack recognition tasks.

[0020] The detection assembly includes a lidar detection unit, a marking unit, an imaging unit, and a controller. The lidar detection unit, marking unit, and imaging unit are all electrically connected to the controller. The control remote controller 1 has a display screen, and the controller and control remote controller 1 are electrically connected. The lidar detection unit is used to scan and acquire the geometric information of the concrete component. The imaging unit is used to capture images of the crack information and transmit the image signals to the operator. The marking unit is used to mark the crack locations, enabling the operator to easily locate the cracks. The controller is equipped with a crack recognition system that can identify whether a crack is a physical crack or another intentionally designed gap.

[0021] The lidar detection unit includes a first lidar 4 and a second lidar 5, both mounted on the housing 3. The housing 3 provides the mounting position for the first lidar 4 and the second lidar 5. The first lidar 4 and the second lidar 5 are used to emit laser beams and receive reflected signals. By analyzing the data from the reflected signals, surface depressions are identified, and the signals are transmitted to the controller for preliminary identification. Setting up the first lidar 4 and the second lidar 5 can increase the scanning area. An angle adjustment component 9 is installed between the UAV body 2 and the housing 3. The angle adjustment component 9 can expand the area captured and scanned by the imaging component and the lidar component.

[0022] A camera unit is installed between the first lidar 4 and the second lidar 5. The camera unit includes an optical camera 6, which is fixedly mounted on the housing 3 and positioned at the center between the first lidar 4 and the second lidar 5. The optical camera 6 is used to photograph the crack and transmits the signal to the control remote controller 1 via a controller.

[0023] The marking unit includes a tank body 7, a fixing frame 8, and a pressurizing component. The tank body 7 and the pressurizing component are connected. Both the pressurizing component and the tank body 7 are placed inside the fixing frame 8. The fixing frame 8 is fixedly connected to the shell 3. The angle between the tank body 7 and the horizontal plane is 30-45°.

[0024] Tank 7 contains fluorescent paint, which is sprayed through a nozzle onto the crack for marking via a pressurization assembly. This marking provides clear location guidance for subsequent manual inspection, detailed measurement, and maintenance work, and is especially crucial in large structures or high-altitude operations. The tilt angle ensures accurate application of the fluorescent paint to the crack. The fixing frame 8 secures and protects tank 7 and the pressurization assembly.

[0025] The pressurization component, angle adjustment component 9, and crack identification system mentioned above are all set up using existing technology, so they have not been elaborated on further.

[0026] When using the intelligent crack recognition device for concrete components provided by this utility model, the drone body 2 is first controlled by the remote controller 1 to fly to the monitoring area, the first lidar 4 and the second lidar 5 are activated, and the scanning area of ​​the first lidar 4 and the second lidar 5 is expanded by the angle adjustment component 9. When the crack recognition system in the controller identifies an abnormal depression on the surface (potential crack area), the crack width / depth is initially calculated, and non-crack structural joints (such as construction expansion joints) are filtered out to avoid misjudgment. When the crack recognition system in the controller identifies a crack on the surface, the optical camera 6 is activated to photograph the crack, and the pressurization component is activated to spray fluorescent paint in the tank 7 onto the crack for marking, which is convenient for subsequent maintenance personnel to repair.

[0027] Therefore, this utility model adopts the above-mentioned intelligent crack recognition device for concrete components. It integrates the UAV body with the first and second lidar for scanning and achieves efficient detection with an optical camera, significantly improving the crack recognition accuracy. It also uses a fluorescent marker unit to accurately locate the crack, providing accurate crack location for personnel repair.

[0028] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of this utility model and not to limit it. Although the utility model has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solution of this utility model, and these modifications or equivalent substitutions cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of this utility model.

Claims

1. A smart crack recognition device for concrete components, characterized in that: It includes a drone detection mechanism and a remote controller. The drone detection mechanism includes the drone body and a detection component installed on the bottom of the drone body. The detection component includes a lidar detection unit, a marking unit, a shooting unit, and a controller. The lidar detection unit, the marking unit, and the shooting unit are all electrically connected to the controller.

2. The intelligent crack recognition device for concrete components according to claim 1, characterized in that: The remote control has a display screen, and the controller and the remote control are electrically connected.

3. The intelligent crack recognition device for concrete components according to claim 1, characterized in that: The lidar detection unit includes a first lidar and a second lidar, both of which are mounted on the housing, and an imaging unit is installed between the first lidar and the second lidar.

4. The intelligent crack recognition device for concrete components according to claim 3, characterized in that: The imaging unit includes an optical camera, which is fixedly mounted on the housing and positioned at the center between the first lidar and the second lidar.

5. The intelligent crack recognition device for concrete components according to claim 3, characterized in that: The marking unit includes a tank, a fixed frame, and a pressurization assembly. The tank and the pressurization assembly are connected. The launching assembly and the tank are both placed inside the fixed frame. The fixed frame is fixedly connected to the shell. The angle between the tank and the horizontal plane is 30-45°.

6. The intelligent crack recognition device for concrete components according to claim 3, characterized in that: An angle adjustment component is installed between the drone body and the shell.

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