Wall defect detection unmanned aerial vehicle based on artificial intelligence

Abstract

The utility model relates to the field of wall defect detection, and discloses a wall defect detection unmanned aerial vehicle based on artificial intelligence, which comprises an unmanned aerial vehicle main body, the upper end and the lower end of the unmanned aerial vehicle main body are even provided with universal module mechanisms, and the universal module mechanisms are used for adapting to and replacing different detection accessories. The universal module mechanism comprises an upper module sliding rail, a lower module sliding rail and a module clamping sleeve, a plurality of positioning clamping teeth are arranged on the outer side face of the upper module sliding rail and the outer side face of the lower module sliding rail, a sliding groove is formed in the module clamping sleeve, and the sliding groove corresponds to the upper module sliding rail and the lower module sliding rail. According to the utility model, by adopting the modular design, different detection modules can be rapidly replaced to adapt to the detection requirements under different conditions, the unnecessary detection modules can reduce the burden of the unmanned aerial vehicle and increase the cruising ability of the unmanned aerial vehicle, and meanwhile, the propeller protection frame is additionally arranged to prevent the propeller from being damaged due to contact with the wall surface, so that the unmanned aerial vehicle is relatively practical; the method is suitable for wide popularization and use.

Description

Technical Field

[0001] The utility model belongs to the technical field of wall defect detection, and specifically relates to an artificial intelligence-based wall defect detection unmanned aerial vehicle. Background Art

[0002] Building quality inspection requires photographic inspection, hardness inspection and hollowing inspection of the building's exterior walls. The existing photographic inspection method is generally carried out through drones, which have a relatively wide inspection range, while hollowing inspection is carried out by manually knocking on the wall by Spider-Man.

[0003] The inventors of the present invention believe that the above-mentioned detection of hollow wall phenomenon by manually knocking on the wall by Spider-Man may cause interference to the Spider-Man's detection due to the building structure, and increase labor and risk. At the same time, the existing detection drones have relatively single functions, and the detection mechanisms are mostly integrated and cannot be freely assembled according to the needs in different situations. There is still room for improvement. Utility Model Content

[0004] In order to solve the above-mentioned problem that the Spiderman manually knocks on the wall to detect the hollowness of the wall, there is a phenomenon that the building structure interferes with the Spiderman's detection, and increases labor and risks. There are technical problems that need to be improved. The basic concept of the technical solution adopted by the utility model is:

[0005] An artificial intelligence-based wall defect detection unmanned aerial vehicle includes a drone body, and the upper and lower ends of the drone body even have universal module mechanisms, which are used to adapt and replace different detection accessories, and the universal module mechanism includes an upper module slide rail, a lower module slide rail and a module sleeve, and the outer side surfaces of the upper module slide rail and the lower module slide rail are provided with a plurality of positioning teeth, and the interior of the module sleeve is provided with a slide groove, which corresponds to the upper module slide rail and the lower module slide rail, and is movably connected to the outer periphery of the upper module slide rail and the lower module slide rail.

[0006] As a preferred embodiment of the utility model, a bolt groove is provided inside the module sleeve, a fixing bolt is sleeved inside the bolt groove, and an ultrasonic detector and a percussion hammer are respectively installed on the upper and lower module sleeves, threaded holes are provided on the inner sides of the ultrasonic detector and the percussion hammer, and a positioning rod is fixedly connected to the inner sides of the ultrasonic detector and the percussion hammer, and an ultrasonic transceiver is fixedly installed on the front end of the ultrasonic detector.

[0007] As a preferred embodiment of the utility model, the threaded hole corresponds to the fixing bolt and is threadedly sleeved therewith, the positioning rod corresponds to the positioning hole provided on the module sleeve and is sleeved therewith, a bolt hole is provided on the side of the module sleeve, and a positioning bolt is sleeved on the internal thread of the bolt hole, and the positioning bolt corresponds to the positioning clamping tooth and is clamped therewith.

[0008] As a preferred embodiment of the utility model, propeller struts and warning lights are fixedly installed at the four corners of the drone body, the end of the propeller struts is fixedly connected to a main power motor, a propeller is fixedly installed on the transmission shaft of the main power motor, and a searchlight is fixedly installed on the main power motor at the front end, and a camera is fixedly installed at the front end of the drone body, and an auxiliary power motor is fixedly connected to the rear end of the drone body, and a side thrust propeller is fixedly installed on the transmission shaft of the auxiliary power motor.

[0009] As a preferred embodiment of the utility model, a connecting frame is fixedly connected to the left and right sides of the drone body, a propeller protection frame is fixedly connected to the outer side of the connecting frame through a fixing plate, and a buffer pad is fixedly connected to the outer side of the front end of the propeller protection frame.

[0010] Compared with the prior art, the utility model has the following beneficial effects:

[0011] The utility model adopts a modular design, so that the device can quickly replace different detection modules to adapt to the detection needs in different situations. Unnecessary detection modules can reduce the burden of the drone and increase its endurance. At the same time, a propeller protection frame is added to prevent the propeller from contacting the wall and causing damage.

[0012] The specific implementation of the utility model is further described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In the attached picture:

[0014] Figure 1 A three-dimensional main view schematic diagram of an artificial intelligence-based wall defect detection unmanned aerial vehicle;

[0015] Figure 2 A three-dimensional upward schematic diagram of an unmanned aerial vehicle for wall defect detection based on artificial intelligence;

[0016] Figure 3 Schematic diagram of module disassembly of the AI-based wall defect detection unmanned aerial vehicle;

[0017] Figure 4 A magnified schematic diagram of the propeller protection structure of an unmanned aerial vehicle for AI-based wall defect detection;

[0018] Figure 5 A disassembly diagram of the electric hammer used for AI-based wall defect detection by an unmanned aerial vehicle;

[0019] Figure 6 Schematic diagram of the disassembly of the ultrasonic detector of the unmanned aerial vehicle for wall defect detection based on artificial intelligence.

[0020] In the figure: 1. UAV body; 2. Connecting frame; 3. Positioning bolt; 4. Propeller protection frame; 5. Main power motor; 6. Auxiliary power motor; 7. Ultrasonic detector; 8. Ultrasonic transceiver; 9. Upper module slide rail; 10. Propeller support rod; 11. Warning light; 12. Camera; 13. Electric hammer; 14. Buffer pad; 15. Searchlight; 16. Lower module slide rail; 17. Positioning tooth; 18. Threaded hole; 19. Slide groove; 20. Module sleeve; 21. Fixing plate; 22. Fixing bolt; 23. Bolt groove; 24. Positioning rod; 25. Threaded hole. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical scheme and advantages of the embodiments of the utility model clearer, the technical scheme in the embodiments will be clearly and completely described below in conjunction with the drawings in the embodiments of the utility model. The following embodiments are used to illustrate the utility model.

[0022] like Figures 1 to 6 As shown, an artificial intelligence-based wall defect detection unmanned aerial vehicle includes a drone body 1, and the upper and lower ends of the drone body even have universal module mechanisms, which are used to adapt and replace different detection accessories, and the universal module mechanism includes an upper module slide rail 9, a lower module slide rail 16 and a module sleeve 20, and the outer side surfaces of the upper module slide rail 9 and the lower module slide rail 16 are provided with a plurality of positioning teeth 17, and the interior of the module sleeve 20 is provided with a slide groove 19, which corresponds to the upper module slide rail 9 and the lower module slide rail 16, and is movably connected to the outer periphery of the upper module slide rail 9 and the lower module slide rail 16.

[0023] In this setting, the utility model adopts a modular design, so that the device can quickly replace different detection modules to adapt to the detection needs in different situations. Unnecessary detection modules can reduce the burden of the drone and increase its endurance.

[0024] like Figures 1 to 6As shown, in a specific embodiment, a bolt groove 23 is opened inside the module sleeve 20, and a fixing bolt 22 is sleeved inside the bolt groove 23, and an ultrasonic detector 7 and a percussion hammer 13 are respectively installed on the upper and lower module sleeves 20, and threaded holes 25 are opened on the inner sides of the ultrasonic detector 7 and the percussion hammer 13, and a positioning rod 24 is fixedly connected to the inner sides of the ultrasonic detector 7 and the percussion hammer 13, and an ultrasonic transceiver 8 is fixedly installed on the front end of the ultrasonic detector 7.

[0025] In this setting, the ultrasonic detector 7 scans and detects hollows inside the wall through the principles of emission, rebound and reception, and synthesizes pictures; and the function of the knocking electric hammer 13 is to detect the hardness of the wall by detecting the rebound force generated by knocking.

[0026] like Figures 1 to 6 As shown, in a specific embodiment, the threaded hole 25 corresponds to the fixing bolt 22 and is threadedly sleeved therewith, the positioning rod 24 corresponds to the positioning hole provided on the module sleeve 20 and is sleeved therewith, a bolt hole 18 is provided on the side of the module sleeve, and the internal thread of the bolt hole 18 is sleeved with a positioning bolt 3, and the positioning bolt 3 corresponds to the positioning clamping tooth 17 and is clamped therewith.

[0027] In this setting, when using this equipment, the required detection module is first fixedly connected to the module sleeve 20 by the fixing bolts 22, and then the module sleeve 20 is sleeved on the module slide rail. After adjusting the position, the module sleeve 20 is fixed by the positioning bolts 3.

[0028] like Figures 1 to 6 As shown, in a specific embodiment, propeller struts 10 and warning lights 11 are fixedly installed at the four corners of the drone body 1, the end of the propeller struts 10 is fixedly connected to the main power motor 5, a propeller is fixedly installed on the transmission shaft of the main power motor 5, and a searchlight 15 is fixedly installed on the front end of the main power motor 5, and a camera 12 is fixedly installed on the front end of the drone body 1, and an auxiliary power motor 6 is fixedly connected to the rear end of the drone body 1, and a side thrust propeller is fixedly installed on the transmission shaft of the auxiliary power motor 6.

[0029] In this setting, the function of the buffer pad 14 in the device is to absorb the collision force between the device and the wall, and to stabilize the fuselage by making the device in close contact with the wall. The function of the auxiliary power motor 6 is to fine-tune the horizontal distance between the drone and the wall to achieve the effect of close contact between the buffer pad 14 and the wall, and the propeller protection frame 4 is to prevent the propeller from scratching the wall, causing damage to the propeller, or even the device falling and breaking.

[0030] like Figures 1 to 6As shown, in a specific embodiment, a connecting frame 2 is fixedly connected to the left and right sides of the drone body 1, the outer side of the connecting frame 2 is fixedly connected to a propeller protection frame 4 through a fixing plate 21, and a buffer pad 14 is fixedly connected to the outer side of the front end of the propeller protection frame 4.

[0031] In this configuration, a propeller protection frame 4 is added to prevent the propeller from contacting the wall and causing damage. The implementation principle of the wall defect detection unmanned aerial vehicle based on artificial intelligence in this embodiment is as follows:

[0032] The utility model adopts a modular design, so that the device can quickly replace different detection modules to adapt to the detection needs in different situations. Unnecessary detection modules can reduce the burden of the drone and increase its endurance. At the same time, by adding a propeller protection frame 4, the propeller is prevented from contacting the wall and causing damage;

[0033] When using the device, first fix the required detection module on the module sleeve 20 through the fixing bolts 22, then sleeve the module sleeve 20 on the module slide rail, adjust the position, and fix the module sleeve 20 through the positioning bolts 3; in the device, the function of the buffer pad 14 is to absorb the collision force between the device and the wall, and stabilize the fuselage by bringing the device into close contact with the wall, wherein the function of the auxiliary power motor 6 is to fine-tune the horizontal distance between the drone and the wall to achieve the effect of close contact between the buffer pad 14 and the wall, and the propeller protection frame 4 is to prevent the propeller from scratching the wall, causing damage to the propeller, or even the equipment falling and breaking; at the same time, the ultrasonic detector 7 scans and detects the hollow inside the wall through the principles of emission, rebound and reception, and synthesizes the picture; and the function of the knocking electric hammer 13 is to detect the hardness of the wall by detecting the rebound force generated by the knocking.

Claims

1. An artificial intelligence-based wall defect detection unmanned aerial vehicle, comprising an unmanned aerial vehicle body (1), characterized in that: The upper and lower ends of the drone body are even provided with universal module mechanisms, which are used to adapt and replace different detection accessories, and the universal module mechanism includes an upper module slide rail (9), a lower module slide rail (16) and a module sleeve (20), the outer side surfaces of the upper module slide rail (9) and the lower module slide rail (16) are provided with a plurality of positioning teeth (17), and the interior of the module sleeve (20) is provided with a slide groove (19), and the slide groove (19) corresponds to the upper module slide rail (9) and the lower module slide rail (16), and is movably sleeved on the outer periphery of the upper module slide rail (9) and the lower module slide rail (16).

2. The wall defect detection unmanned aerial vehicle based on artificial intelligence according to claim 1 is characterized in that: The module sleeve (20) is provided with a bolt groove (23) inside, and a fixing bolt (22) is sleeved inside the bolt groove (23). An ultrasonic detector (7) and a percussion electric hammer (13) are respectively installed on the upper and lower module sleeves (20). A threaded hole (25) is provided on the inner side of the ultrasonic detector (7) and the percussion electric hammer (13). A positioning rod (24) is fixedly connected to the inner side of the ultrasonic detector (7) and the percussion electric hammer (13). An ultrasonic transceiver (8) is fixedly installed at the front end of the ultrasonic detector (7).

3. The wall defect detection unmanned aerial vehicle based on artificial intelligence according to claim 2 is characterized in that: The threaded hole (25) corresponds to the fixing bolt (22) and is threadedly sleeved therewith. The positioning rod (24) corresponds to the positioning hole provided on the module sleeve (20) and is sleeved therewith. A bolt hole (18) is provided on the side of the module sleeve. A positioning bolt (3) is sleeved on the inner thread of the bolt hole (18). The positioning bolt (3) corresponds to the positioning clamping tooth (17) and is clamped therewith.

4. The wall defect detection unmanned aerial vehicle based on artificial intelligence according to claim 1 is characterized in that: The four corners of the drone body (1) are fixedly mounted with propeller struts (10) and warning lights (11); the ends of the propeller struts (10) are fixedly connected with a main power motor (5); a propeller is fixedly mounted on the transmission shaft of the main power motor (5); a searchlight (15) is fixedly mounted on the main power motor (5) at the front end; a camera (12) is fixedly mounted on the front end of the drone body (1); and a secondary power motor (6) is fixedly connected to the rear end of the drone body (1); and a side thrust propeller is fixedly mounted on the transmission shaft of the secondary power motor (6).

5. The wall defect detection unmanned aerial vehicle based on artificial intelligence according to claim 1 is characterized in that: A connecting frame (2) is fixedly connected to the left and right sides of the drone body (1); a propeller protection frame (4) is fixedly connected to the outer side of the connecting frame (2) via a fixing plate (21); and a buffer pad (14) is fixedly connected to the outer side of the front end of the propeller protection frame (4).

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