Intelligent detection device for damaged surface of mosaic facade of old community
By designing wing frames, adjustment components, and stabilization components on drones, and combining them with technologies such as high-resolution cameras, the problem of low detection accuracy of mosaic facades in old residential areas has been solved, achieving efficient and accurate damage identification and reducing the risks of high-altitude operations.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-15
- Publication Date
- 2026-04-03
AI Technical Summary
In existing technologies, the inspection of the exterior facades of old residential buildings relies on manual visual inspection or lifting equipment, which is inefficient, incomplete in coverage, and poses a high risk of high-altitude operations. While drones are effective for large-scale structures such as bridges and dams, they have low accuracy for small decorative surfaces such as mosaics, and the difference in distance between the drone wings and the wall limits the range of camera adjustment.
Design an intelligent inspection device for mosaic facades in old residential areas. The device uses a drone as the main body, equipped with a wing frame, adjustment components, inspection body, and stabilization components. Dynamic spacing compensation of the image processing module is achieved through ball screw slide rails. Combined with a high-resolution zoom camera, multispectral sensor, lidar, and edge computing unit, it can achieve accurate inspection of mosaic facades.
It improves the accuracy and flexibility of mosaic facade inspection, reduces the risk of high-altitude operations, enhances the stability and service life of the equipment, and enables efficient identification of damage to small-sized decorative surfaces.
Smart Images

Figure CN224075784U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of mosaic facade damage detection technology, specifically an intelligent detection device for damaged mosaic facades in old residential communities. Background Technology
[0002] Intelligent detection of damaged mosaic facades refers to a technical system that uses advanced technologies such as drones and infrared imaging to automatically identify damage to the mosaic decorative layer of buildings. It automatically identifies defects such as hollowing and detachment of mosaic tiles through image algorithms.
[0003] For example, the Chinese authorized patent with announcement number CN210108984U (A Building Facade Inspection Device Based on a UAV) includes a UAV body. The UAV body is equipped with an image acquisition module, a wireless transmission module, a positioning module, a ranging module, a tapping module, a sound acquisition module, and a main control module. The image acquisition module is located at the front of the UAV body, while the tapping and sound acquisition modules are located on the outside of the UAV and connected to the UAV body. The image acquisition module, positioning module, ranging module, tapping module, sound acquisition module, and wireless transmission module are respectively connected to the main control module. This utility model collects image information of the building facade and tapping sounds of problem points and transmits them to a monitoring platform. Monitoring personnel can use the image and sound information to determine whether there are quality defects in the facade, improving the accuracy and efficiency of inspection and overcoming the poor photo quality and risks of high-altitude operations in manual inspection.
[0004] However, existing methods for inspecting the exterior facades of older residential buildings rely on manual visual inspection or lifting equipment, which are inefficient, lack comprehensive coverage, and pose risks associated with working at heights. While drone inspection technology is used, it primarily targets large-scale structures such as bridges and dams, lacking capabilities for detecting damage to small decorative surfaces like mosaic tiles. Furthermore, the lateral dimensions of the drone wings create distance differences between the wings and the walls, and between the camera module and the walls, limiting the range of camera distance adjustment and reducing inspection accuracy. Therefore, this solution proposes an intelligent detection device for damaged mosaic tile facades in older residential buildings to meet practical needs. Utility Model Content
[0005] The purpose of this utility model is to provide an intelligent detection device for damaged mosaic facades in old residential areas, in order to solve the problems mentioned in the background art. Existing building facade inspection relies on manual visual inspection or lifting equipment, which has the disadvantages of low efficiency, incomplete coverage, and high-altitude operation risks. When using drone inspection technology, it is mostly for large-scale structures, such as bridges and dams, and lacks the ability to detect damage to small-sized decorative surfaces such as mosaics. Moreover, due to the distance difference between the drone's wings and the wall, and between the drone's camera module and the wall, the camera distance adjustment range is limited, resulting in low detection accuracy.
[0006] To achieve the above objectives, this utility model provides the following technical solution: an intelligent detection device for damaged mosaic facades in old residential areas, comprising: a drone body, the outer wall of which is provided with wing frames, and multiple wing frames are provided; an upper end of one end of each wing frame is provided with a wing; an adjustment component is provided at the lower end of the drone body; a detection body is provided at the lower end of the adjustment component; the adjustment component drives the detection body to move laterally; an image processing module is provided inside the detection body; and a stabilization component is provided outside the detection body.
[0007] Preferably, the adjustment component includes a mounting sleeve and a ball screw slide rail. The ball screw slide rail is fixed inside the mounting sleeve. Both sides of the mounting sleeve are provided with notches and grooves. The moving end of the ball screw slide rail is fixed to the detection body by an external fastener. The controller controls the moving position of the ball screw slide rail, thereby driving the detection body to move back and forth.
[0008] Preferably, the stabilizing component includes a stabilizing base, and the detection body is located at the upper end of the stabilizing base. A wear-resistant pad is provided on the lower surface of the stabilizing base, and the wear-resistant pad is bonded and fixed to the stabilizing base by adhesive.
[0009] Preferably, the upper surfaces on both sides of the stabilizing base are provided with support frames, and the two ends of the top of the support frame are welded with fixing plates, which are fixed to the drone body by external fasteners.
[0010] Preferably, a movable groove is provided on one side surface of the support frame near the top, and the movable groove extends through the support frame. A movable seat is inserted inside the movable groove and moves along the movable groove. A fixing bolt is provided at one end of the movable seat, and the movable seat is fixed to the detection body by the fixing bolt.
[0011] Preferably, the upper surfaces of both sides of the stabilizing base are provided with rotating grooves, the stabilizing component also includes a rotating column, and the rotating column is installed inside the rotating groove. A shaft groove is provided at the center of the rotating column, and a column shaft is inserted into the shaft groove. The rotating column is rotatably connected to the column shaft through the shaft groove.
[0012] Preferably, the image processing module includes a high-resolution zoom camera, a multispectral sensor, a lidar, an edge computing unit, and a data processing system, all of which are electrically connected to the controller.
[0013] Compared with the prior art, the beneficial effects of this utility model are:
[0014] (1) This utility model uses the moving end of the ball screw slide rail to drive the detection body to move back and forth, thereby realizing dynamic distance compensation between the image processing module and the mosaic facade. This overcomes the technical defect of inaccurate damage identification caused by the distance difference between the image processing module and the mosaic facade due to the lateral dimensions of multiple wings. This utility model uses precise distance adjustment between the detection body and the mosaic facade to enable precise close-up detection of the image processing module and the mosaic decorative surface, thereby realizing damage detection of small decorative surfaces such as mosaics and improving the detection accuracy and flexibility of the intelligent detection device.
[0015] (2) By setting a stabilizing component outside the detection body, when the detection body moves, the moving seat moves along the moving groove, which supports the detection body and prevents it from falling. The rotating column rotates after being subjected to friction, which improves the stability of the movement of the detection body, reduces friction, avoids damage to the bottom surface, and improves the service life of the equipment. Attached Figure Description
[0016] Figure 1 This is a schematic diagram of the overall structure of this utility model;
[0017] Figure 2 This is a schematic diagram of the overall bottom view of the present invention;
[0018] Figure 3 This is a schematic diagram of the stable component structure of this utility model;
[0019] Figure 4 This is a schematic diagram of the rotating column structure of this utility model;
[0020] In the diagram: 1. UAV main body; 2. Detection main body; 3. Image processing module; 4. Adjustment component; 5. Stabilization component; 6. Wing frame; 7. Wing; 8. Mounting sleeve; 9. Ball screw slide rail; 10. Notch groove; 11. Stabilizing base; 12. Wear-resistant pad; 13. Support frame; 14. Moving groove; 15. Fixing plate; 16. Moving seat; 17. Fixing bolt; 18. Rotating groove; 19. Rotating column; 20. Column shaft; 21. Shaft groove. Detailed Implementation
[0021] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present utility model. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments.
[0022] Please see Figure 1-4This utility model provides an embodiment of an intelligent detection device for damaged mosaic facades in old residential areas, comprising: a drone body 1, with multiple wing frames 6 mounted on the outer wall of the drone body 1, and an upper wing 7 mounted on one end of each wing frame 6; an adjustment component 4 mounted on the lower end of the drone body 1, with a detection body 2 mounted on the lower end of the adjustment component 4, and the adjustment component 4 driving the detection body 2 to move laterally; an image processing module 3 mounted inside the detection body 2; and a stabilizing component 5 mounted outside the detection body 2. 4 includes a mounting sleeve 8 and a ball screw slide rail 9. The ball screw slide rail 9 is fixed inside the mounting sleeve 8, and the moving end of the ball screw slide rail 9 is fixed to the detection body 2 by an external fastener. The controller controls the moving position of the ball screw slide rail 9, which drives the detection body 2 to move back and forth. The mounting sleeve 8 has notches and grooves 10 on both sides. The stabilizing component 5 includes a stabilizing base 11, and the detection body 2 is located on the upper end of the stabilizing base 11. The lower surface of the stabilizing base 11 is provided with a wear-resistant pad 12, and the wear-resistant pad 12 is bonded and fixed to the stabilizing base 11 by adhesive. During the inspection process, the drone controls the moving end of the ball screw slide rail 9 to move the inspection body 2 back and forth, thereby adjusting the distance between the image processing module 3 and the mosaic facade. Because the diameter of the area enclosed by the multiple wings 7 makes the mosaic facade and the inspection body 2 have a large distance, when inspecting the damaged surface of the mosaic facade, the distance will cause inaccurate millimeter-level damage identification. By adjusting the distance, the image processing module 3 overcomes the distance caused by the wings 7, thus getting closer to the mosaic facade and improving the accuracy and flexibility of the inspection.
[0023] Support frames 13 are provided on the upper surfaces of both sides of the stabilizing base 11. Fixing plates 15 are welded to both ends of the top of the support frame 13, and the fixing plates 15 are fixed to the UAV body 1 by external fasteners. A moving groove 14 is provided on the surface of the support frame 13 near the top, and the moving groove 14 penetrates the support frame 13. A moving seat 16 is inserted into the moving groove 14 and moves along the moving groove 14. A fixing bolt 17 is provided at one end of the moving seat 16, and the moving seat 16 is fixed to the detection body 2 by the fixing bolt 17. Support frames 13 are provided on the upper surfaces of both sides of the stabilizing base 11. The stabilizing component 5 includes a rotating groove 18 and a rotating column 19, which is installed inside the rotating groove 18. A shaft groove 21 is provided at the center of the rotating column 19, and a column shaft 20 is inserted into the shaft groove 21. The rotating column 19 is rotatably connected to the column shaft 20 through the shaft groove 21. When the detection body 2 moves, the moving seat 16 moves along the moving groove 14 to support the detection body 2 and prevent it from falling. The rotating column 19 rotates after being subjected to friction, which improves the stability of the movement of the detection body 2, reduces friction, avoids friction damage to the bottom surface, and improves service life.
[0024] Image processing module 3 includes a high-resolution zoom camera, a multispectral sensor, a lidar, an edge computing unit, and a data processing system, all of which are electrically connected to the controller. It also includes an image stitching module, a coordinate transformation module, autonomous route planning software, and a real-time early warning interface.
[0025] The system includes: a high-resolution zoom camera with over 20 megapixels and optical image stabilization; a multispectral sensor for identifying color differences and water seepage; a lidar system for acquiring 3D point cloud data to compensate for drone positioning errors; an embedded GPU for real-time image processing; a data processing system with a deep learning-based damage identification algorithm, the training set containing over 100,000 mosaic damage samples; an image stitching module for generating a complete facade mapping; a coordinate transformation module for mapping the coordinates of damaged points to the BIM model; autonomous flight path planning software for generating detection paths based on building outlines; and a real-time warning interface for marking damage levels and locations.
[0026] The intelligent inspection device's inspection process is as follows: First, the building's BIM model is input, generating a drone flight path. The drone is positioned 3m to 5m from the wall, with a flight speed of 2m / s. Next, the drone is controlled to scan along a predetermined flight path, simultaneously acquiring RGB images, infrared data, and point cloud information. Then, image preprocessing is performed through the edge computing unit to remove fog and correct distortion. Subsequently, the ball screw slide rail 9 is controlled to move the inspection body 2 towards the mosaic facade. When it reaches the maximum distance, it stops, and the drone begins preliminary damage inspection of the mosaic facade, outputting the coordinates of suspected areas. Next, the drone is controlled to initiate a verification inspection of the suspected areas. At this point, the drone is 0.8m from the wall, and the image processing module 3 zooms to 5x optical magnification before scanning the mosaic facade again. Finally, the data is transmitted back to the ground station, generating an inspection report containing the location, size, type of damage, and repair suggestions.
[0027] It will be apparent to those skilled in the art that this invention is not limited to the details of the exemplary embodiments described above, and that it can be implemented in other specific forms without departing from the spirit or essential characteristics of this invention. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of this 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 this invention. No reference numerals in the claims should be construed as limiting the scope of the claims.
Claims
1. An intelligent detection device for damaged mosaic facades in old residential areas, comprising a drone body (1), wherein the outer wall of the drone body (1) is provided with a wing frame (6), and multiple wing frames (6) are provided, wherein an organic wing (7) is provided at the upper end of one end of the wing frame (6), characterized in that: The lower end of the unmanned aerial vehicle body (1) is provided with an adjusting assembly (4), the lower end of the adjusting assembly (4) is provided with a detection body (2), and the detection body (2) is driven to move laterally by the adjusting assembly (4), the inside of the detection body (2) is provided with an image processing module (3), and the outside of the detection body (2) is provided with a stabilizing assembly (5).
2. The old cell mosaic facade damage surface intelligent detection device according to claim 1, characterized in that: The adjusting assembly (4) comprises a mounting sleeve (8) and a ball screw sliding rail (9), the ball screw sliding rail (9) is fixed in the mounting sleeve (8), both side surfaces of the mounting sleeve (8) are provided with notched grooves (10), and the moving end of the ball screw sliding rail (9) is fixed to the detection body (2) through external fasteners, the moving position of the ball screw sliding rail (9) is controlled by the controller, and the detection body (2) is driven to move forward and backward. 3.The old cell mosaic facade damage surface intelligent detection device according to claim 1, characterized in that: The stabilizing assembly (5) comprises a stabilizing base (11), and the detection body (2) is located at the upper end of the stabilizing base (11), and the lower surface of the stabilizing base (11) is provided with a wear-resistant pad (12), and the wear-resistant pad (12) is adhesively fixed to the stabilizing base (11) through a fixing glue.
4. The old cell mosaic facade damage surface intelligent detection device according to claim 3, characterized in that: The upper surfaces of both sides of the stabilizing base (11) are provided with support frames (13), both end surfaces of the top end of the support frame (13) are welded with fixing plates (15), and the fixing plates (15) are fixed to the unmanned aerial vehicle body (1) through external fasteners.
5. The old cell mosaic facade damage surface intelligent detection device according to claim 4, characterized in that: One side surface of the support frame (13) close to the top end is provided with a moving groove (14), and the moving groove (14) penetrates through the support frame (13), a moving seat (16) is inserted into the inside of the moving groove (14), and the moving seat (16) moves along the moving groove (14), one end of the moving seat (16) is provided with a fixing bolt (17), and the moving seat (16) is fixed to the detection body (2) through the fixing bolt (17).
6. The old cell mosaic facade damage surface intelligent detection device according to claim 3, characterized in that: Both upper surfaces of both sides of the stabilizing base (11) are provided with rotating grooves (18), and the stabilizing assembly (5) further comprises a rotating column (19), and the rotating column (19) is installed in the rotating groove (18), the center of the rotating column (19) is provided with a shaft groove (21), a column shaft (20) is inserted into the inside of the shaft groove (21), and the rotating column (19) is rotatably connected to the column shaft (20) through the shaft groove (21).
7. The device for intelligent detection of damaged surface of old district mosaic facade according to claim 1, characterized in that: The image processing module (3) comprises a high-resolution zoom camera, a multispectral sensor, a laser radar, an edge computing unit and a data processing system, which are electrically connected to the controller.
Citation Information
Patent Citations
Building facade detection device based on unmanned aerial vehicle
CN210108984U