Multifunctional integrated unmanned aerial vehicle transportation square cabin

Abstract

The invention relates to the technical field of unmanned aerial vehicles, and discloses a multifunctional integrated unmanned aerial vehicle transportation square cabin which comprises a square cabin cabinet, a printing cabinet is arranged on one side of the square cabin cabinet, a conveying belt is arranged between the square cabin cabinet and the printing cabinet, a motor is arranged in the square cabin cabinet, and the output end of the motor is fixedly connected with a threaded column. The outer wall of the threaded column is in threaded connection with a lifting column, a bearing plate is fixed to the end, away from the threaded column, of the lifting column, a butt joint is arranged in the center of the bearing plate, rotating columns distributed in an annular array mode are rotationally arranged in the square cabin cabinet, pinions are fixed to the bottoms of the outer walls of the rotating columns, and the pinions are meshed with the large gear. And through cooperation of a bearing plate, a butt joint, a large gear and other parts, the equipment can achieve the effects of rapid storage and dust prevention at the same time, and meanwhile the unmanned aerial vehicle can be maintained more comprehensively through a multifunctional maintenance mode.

Description

Technical Field

[0001] The present invention relates to the technical field of unmanned aerial vehicles, and particularly to a multi-functional integrated unmanned aerial vehicle transportation cabin. Background Art

[0002] In recent years, with the continuous expansion of the application of unmanned aerial vehicles in various industries, the equipment for their recovery, charging and daily maintenance has gradually developed. In the prior art, the landing guidance and power supply of unmanned aerial vehicles are usually completed by setting up simple docking platforms or charging interfaces. Some systems are equipped with basic positioning modules and landing buffer structures, and have preliminary autonomous landing capabilities. At the same time, some solutions also attempt to introduce camera devices and sensors to detect some operating states of unmanned aerial vehicles to improve operating safety. These devices have achieved a certain degree of automated processing in practical applications, met the basic functional requirements, and provided preliminary support for the autonomous operation and maintenance of unmanned aerial vehicles.

[0003] However, with the complexity of the operating tasks of unmanned aerial vehicles and the increase in the usage frequency, there are still certain limitations in the functional integration and system perfection of the existing equipment. For example, some structures are exposed to the external environment for a long time, and it is difficult to effectively avoid dust interference during the recovery or docking process, which has a certain impact on the cleanliness and power supply stability of the equipment; the existing detection methods mostly stay at the simple data collection level, and it is impossible to achieve in-depth identification and judgment of the states of key components; at the same time, most systems do not form a complete maintenance closed loop, lack the ability to automatically replace damaged parts, and it is difficult to meet the long-term operation and maintenance requirements under the frequent use of unmanned aerial vehicles. These problems have limited the intelligent development of the unmanned aerial vehicle recovery system to a certain extent, and also increased the later maintenance cost and risk. Therefore, there is an urgent need for a transportation cabin structure with multiple functions integrated, such as enclosed storage, dust prevention and purification, state diagnosis, part printing and replacement, etc., to improve the application range of the system and the safety guarantee ability of unmanned aerial vehicles. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a multi-functional integrated unmanned aerial vehicle transportation cabin, which solves the problems of insufficient dust protection, incomplete state detection and inability to automatically repair and replace parts during the recovery process of unmanned aerial vehicles.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: A multifunctional integrated UAV transportation cabin, including a cabin cabinet, a printing cabinet is provided on one side of the cabin cabinet, a conveyor belt is provided between the cabin cabinet and the printing cabinet, a motor is provided inside the cabin cabinet, the output end of the motor is fixedly connected to a threaded column, a lifting column is threadedly connected to the outer wall of the threaded column, a receiving plate is fixed at one end of the lifting column away from the threaded column, a docking head is provided at the center position of the receiving plate, rotating columns are arranged inside the cabin cabinet in an annular array, small gears are fixedly provided at the bottom of the outer walls of the rotating columns, the small gears are all meshed with a large gear, fan blades are fixedly provided at the top of the outer walls of the rotating columns, air ducts are provided at the top of the small gears to wrap the fan blades and guide the wind direction, a filter screen is provided inside the air ducts, a limiting component is provided on the outer wall of the lifting column, a maintenance component is provided inside the cabin cabinet, a part production mechanism is provided inside the printing cabinet, and a PLC module is provided inside the cabin cabinet.

[0006] Preferably, the limiting component includes a limiting block, the limiting block is fixed on the outer wall of the lifting column, a sliding rod slides inside the limiting block, and the sliding rod is fixed inside the cabin cabinet.

[0007] Preferably, the part production mechanism includes a 3D printing mechanism, a material box is provided on the top of the 3D printing mechanism, the 3D printing mechanism is arranged inside the printing cabinet, a support column is installed on one side inside the printing cabinet, and a robotic arm one is provided on the top of the support column.

[0008] Preferably, the maintenance component includes a robotic arm two, the robotic arm two is arranged inside the cabin cabinet, a camera and a sensor are assembled inside the robotic arm two, the robotic arm two is electrically connected to the PLC module, an alarm is provided on the top of the robotic arm two, the alarm is fixed on the top wall of the cabin cabinet, and the robotic arm two is electrically connected to the alarm.

[0009] Preferably, a solar panel is installed at the rear of the cabin cabinet, and the solar panel is used to supply power to the power supply battery inside the cabin cabinet.

[0010] Preferably, a robotic arm two is installed at the front of the cabin cabinet, and sealing plates driven by electric push rods and symmetrically distributed are installed on the top of the cabin cabinet.

[0011] Preferably, the PLC module includes:

[0012] A main control unit, which is used to run all control programs and diagnostic logics;

[0013] A status monitoring and self-diagnosis unit, which is used to real-time judge the health status of the key components of the UAV through the camera at the position of the robotic arm two;

[0014] A mechanical control and self - repair unit, which is used to determine whether maintenance is required and how to carry out maintenance according to the health status of key components of the drone;

[0015] A 3D printing judgment unit, which is used to judge whether new parts need to be re - printed and replaced according to the health status of key components of the drone.

[0016] Preferably, the status monitoring and self - diagnosis unit includes:

[0017] A multi - source status fusion mechanism, which is used to combine camera images and sensor signals and make a comprehensive judgment through an internal AI model;

[0018] An image recognition mechanism, which is used to detect external abnormalities such as missing propellers, broken fuselages, and dust accumulation.

[0019] Preferably, the mechanical control and self - repair unit includes:

[0020] An action execution mechanism, which is used to drive the second robotic arm to complete disassembly and reinstallation operations;

[0021] A maintenance logic mechanism, which is used to decide whether to use manual prompts, automatic replacement, or overall machine lockdown according to the diagnosis level.

[0022] Preferably, the 3D printing judgment unit includes:

[0023] A part modeling mechanism, which is used to print the part models required by the recognition results through a 3D printing mechanism;

[0024] A printing strategy selection mechanism, which is used to judge which material in the material box to use for part printing.

[0025] The present invention provides a multifunctional integrated drone transportation shelter. It has the following beneficial effects:

[0026] 1. Through the cooperation between components such as the receiving plate, docking head, and large gear, the device can achieve the effect of rapid storage and simultaneous dust prevention, solving the problem of the existing device for storing and charging exposed devices, thereby improving the protection effect of the device.

[0027] 2. After the quota among components such as the shelter cabinet, printing cabinet, and conveyor belt, the device can achieve the effect of multifunctional integration for drone maintenance, solving the problem that traditional devices can only charge and simply detect drones and cannot perform repairs, thereby improving the adaptability range and applicable performance of the device.

[0028] 3. Through the units included in the PLC module, the present invention can more comprehensively detect and analyze the status of the unmanned aerial vehicle (UAV), thereby making the maintenance more comprehensive, solving the problem that the equipment can only conduct simple inspections on the UAV and the inspections are incomplete, improving the detection coverage rate of the equipment, and reducing the problem of increased costs caused by potential problems not detected by the equipment leading to the crash of the UAV. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 is a perspective view of the present invention;

[0030] Figure 2 is a sectional view of the shelter cabinet of the present invention;

[0031] Figure 3 is Figure 2 an enlarged view of part A in

[0032] Figure 4 is a schematic diagram of the internal structure of the printing cabinet of the present invention;

[0033] Figure 5 is a schematic diagram of the closed state of the sealing plate of the present invention;

[0034] Figure 6 is a schematic diagram of the PLC module of the present invention;

[0035] Figure 7 is a schematic diagram of the status monitoring and self-diagnosis unit of the present invention;

[0036] Figure 8 is a schematic diagram of the mechanical control and self-repair unit of the present invention;

[0037] Figure 9 is a schematic diagram of the 3D printing judgment unit of the present invention.

[0038] Among them, 1. Shelter cabinet; 2. Printing cabinet; 3. Conveyor belt; 4. Receiving plate; 5. Docking head; 6. Lifting column; 7. Threaded column; 8. Limit block; 9. Slide bar; 10. Motor; 11. Large gear; 12. Small gear; 13. Rotating column; 14. Fan blade; 15. Air duct; 16. Sealing plate; 17. Alarm; 18. Solar panel; 19. Support column; 20. Robot arm one; 21. 3D printing mechanism; 22. Material box; 23. Robot arm two. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0039] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0040] Embodiment 1:

[0041] Please refer to the attached Figure 1 - attached Figure 5 , an embodiment of the present invention provides a multifunctional integrated UAV transportation cabin, including a cabin cabinet 1, a printing cabinet 2 is arranged on one side of the cabin cabinet 1, a conveyor belt 3 is arranged between the cabin cabinet 1 and the printing cabinet 2, a motor 10 is arranged inside the cabin cabinet 1, a threaded column 7 is fixedly connected to the output end of the motor 10, a lifting column 6 is threadedly connected to the outer wall of the threaded column 7, a receiving plate 4 is fixed at one end of the lifting column 6 away from the threaded column 7, a docking head 5 is arranged at the center position of the receiving plate 4, a rotating column 13 distributed in an annular array is rotated inside the cabin cabinet 1, small gears 12 are fixedly arranged at the bottom of the outer wall of the rotating column 13, the small gears 12 are all meshed with a large gear 11, a fan blade 14 is fixedly arranged at the top of the outer wall of the rotating column 13, a guide air duct 15 is arranged at the top of each small gear 12 to wrap the fan blade 14 to guide the wind direction, a filter screen is arranged inside the guide air duct 15, a limiting component is arranged on the outer wall of the lifting column 6, a maintenance component is arranged inside the cabin cabinet 1, a part production mechanism is arranged inside the printing cabinet 2, and a PLC module is arranged inside the cabin cabinet 1;

[0042] The limiting component includes a limiting block 8, the limiting block 8 is fixed on the outer wall of the lifting column 6, a sliding rod 9 slides inside the limiting block 8, and the sliding rod 9 is fixed inside the cabin cabinet 1;

[0043] The part production mechanism includes a 3D printing mechanism 21, a material box 22 is arranged on the top of the 3D printing mechanism 21, the 3D printing mechanism 21 is arranged inside the printing cabinet 2, a support column 19 is installed on one side inside the printing cabinet 2, and a robotic arm one 20 is arranged on the top of the support column 19;

[0044] The maintenance component includes a robotic arm two 23, the robotic arm two 23 is arranged inside the cabin cabinet 1, a camera and a sensor are assembled inside the robotic arm two 23, the robotic arm two 23 is electrically connected to the PLC module, an alarm 17 is arranged on the top of the robotic arm two 23, the alarm 17 is fixed on the top wall of the cabin cabinet 1, and the robotic arm two 23 is electrically connected to the alarm 17;

[0045] A solar panel 18 is installed at the rear of the cabin cabinet 1, and the solar panel 18 is used to supply power to the power supply battery inside the cabin cabinet 1;

[0046] A robotic arm two 23 is installed on the front side of the cabin cabinet 1, and sealing plates 16 driven by electric push rods and distributed symmetrically are installed on the top of the cabin cabinet 1.

[0047] Specifically, when the drone triggers a detection instruction during the mission or its power level drops to a preset threshold, the system will automatically activate the mid-flight stop detection mechanism. At this time, by receiving the position signal sent by the current positioning system of the receiving plate 4, the drone will quickly enter the autonomous landing process and align with the central area of the receiving plate 4 according to the guiding signal to complete precise landing.

[0048] The landed drone will reliably engage its bottom interface with the preset docking head 5, thus completing the closure of the power supply link and starting the charging process. At the same time, the body is locked and stabilized to prevent displacement or jitter. After the drone has stably completed landing and docking, the sealing plate 16 slowly opens through the electric push rod mechanism, providing a passage for subsequent body accommodation and cleaning operations.

[0049] Immediately afterwards, the motor 10 starts, driving the large gear 11 to start rotating. The large gear 11 drives the threaded column 7 engaged with it to make synchronous rotational motion. Since a screw propulsion relationship is formed between the threaded column 7 and the lifting column 6, and at the same time the lifting column 6 is guided and restricted by the limiting block 8 and its matching slide rod 9 structure and is only allowed to slide up and down along the set track, the rotation will be converted into the power of linear downward movement, causing the receiving plate 4 to drive the entire drone to move downward and gradually be received into the designated area inside the shelter cabinet 1.

[0050] When the drone is successfully received into the shelter cabinet 1, the system drives the electric push rod again to make the sealing plate 16 return to its closed position, completely isolating the external environment, preventing dust, rainwater or other pollutants from entering the cabin, and ensuring the cleanliness and reliability of the internal equipment.

[0051] During the downward movement of the receiving plate 4, the rotation of the large gear 11 also drives the small gears 12 distributed around it. Due to the different gear ratio designs, the small gears 12 rotate at a much higher speed than the large gear 11. The small gears 12 drive the connected rotating columns 13, thereby driving the fan blades 14 to rotate at high speed, forming a continuous air current. This air current is stably conveyed upward through the guiding of the air duct 15, which can not only prevent the dust deposited at the rear opening position from being sucked into the shelter cabinet 1, but also effectively blow the dust and particles attached to the surface of the drone, improving the cleaning efficiency inside the cabin.

[0052] When the drone is completely received in place, the second robotic arm 23 is immediately activated, and through the on-board camera and sensor system, it conducts a full-range scan and status analysis of the appearance, structural components and operating traces of the drone to preliminarily determine whether there are phenomena such as damage, aging or abnormal functions. The above information will be uploaded to the PLC module in real time, and it will further confirm whether maintenance or cleaning tasks need to be performed according to the established judgment algorithm.

[0053] If the PLC module confirms that some structural components are severely worn or their functions are degraded and triggers the replacement process, a control signal will be sent to the 3D printing mechanism 21. Based on the detection results, the module selects the corresponding raw materials from the material box 22 and performs customized printing according to the standard model. After printing is completed, the first robotic arm 20 is responsible for grasping the newly printed replacement part from the printing cabinet 2 and placing it on the conveyor belt 3. The conveyor belt 3 transports the part to the designated installation position, and then the second robotic arm 23 is responsible for removing the old part and installing the new part again. The entire maintenance process is an efficient closed-loop and fully automatic.

[0054] Embodiment 2:

[0055] Please refer to the appendix Figure 6 - Appendix Figure 9 , the PLC module includes:

[0056] The main control unit, which is used to run all control programs and diagnostic logics;

[0057] The status monitoring and self-diagnosis unit, which is used to judge the health status of the key components of the drone in real time through the camera of the second robotic arm 23;

[0058] The mechanical control and self-repair unit, which is used to judge whether maintenance is needed and how to perform maintenance according to the health status of the key components of the drone;

[0059] The 3D printing judgment unit, which is used to judge whether new parts need to be printed and replaced according to the health status of the key components of the drone;

[0060] The status monitoring and self-diagnosis unit includes:

[0061] The multi-source status fusion mechanism, which is used to combine the camera image and the sensor signal and make a comprehensive judgment through the internal AI model;

[0062] The image recognition mechanism, which is used to detect external abnormalities such as missing propellers, broken fuselages, and dust accumulation;

[0063] The mechanical control and self-repair unit includes:

[0064] The action execution mechanism, which is used to drive the second robotic arm 23 to complete the disassembly and reinstallation operations;

[0065] The maintenance logic mechanism, which is used to decide to adopt manual prompt, automatic replacement, or whole machine lockdown according to the diagnosis level;

[0066] The 3D printing judgment unit includes:

[0067] The part modeling mechanism, which is used to print the part model required by the recognition result through the 3D printing mechanism 21;

[0068] Print strategy selection mechanism, which is used to determine which material in the material box 22 is used for part printing.

[0069] Specifically, the main control unit can be understood as the "brain", which is responsible for running all control programs, such as when to move the robotic arm, when to trigger diagnostics, or print new parts. It has a task scheduling mechanism inside, which will arrange the things to be executed first according to the urgency and importance of the tasks. The scheduling formula can be simply expressed as:

[0070] P task = w1·S urgency + w2·S importance

[0071] Here, S urgency represents how urgent the task is, and S importance how important this task is to the system. w1 and w2 are two weights that can be adjusted by oneself.

[0072] The state monitoring and self-diagnosis unit is a module in the system that judges whether there is a problem with the drone, and it is also one of the most critical parts. It obtains the current state of the drone through the camera and some sensors installed on the robotic arm 23, such as whether there are cracks, whether the propellers are broken, and whether there is a lot of dust on the shell.

[0073] This part mainly relies on an AI model for image recognition and comprehensive judgment. The model structure is a dual-channel of image + data. The image part goes through a lightweight convolutional network, such as ResNet-18, which is specifically used to extract the image features of the propellers, the shell, and the fuselage; the data part uses an MLP multi-layer perceptron to process sensor signals such as temperature and voltage. The information of the two channels will be merged together, and finally a health score will be output through a small fusion network. The higher the score, the more serious the problem.

[0074] Specifically for image recognition, we used the YOLOv5 network for object detection, which can simultaneously identify multiple problem areas, such as missing propellers, cracked fuselages, and dust on the surface area, and output the recognition results with position boxes. The model output results will be fused with the sensor information through a Bayesian algorithm to increase the accuracy of judgment:

[0075]

[0076] Among them, P(F i |D) is the probability that the i-th fault F i actually occurs under the condition of observing the data D. This is the judgment result we want; P(D|F i ) is the possibility of these data appearing when the i-th fault really occurs, that is, the "explanatory ability" of the data; P(Fi ) \(P(F_i)\) is the occurrence probability of the \(i\) -th type of fault before any data, called the "prior probability"; \(P(D)\) is the total probability of the occurrence of these observed data, which is actually a normalization factor to ensure that the results add up to no more than 100%.

[0077] Simply put, it is to combine both images and data to determine which type of fault is most likely.

[0078] Finally, this AI module will output a comprehensive health score \(score\), which is then divided into three levels according to the threshold: normal, recommended for maintenance, and requires lockdown for repair. This level will be passed to the subsequent maintenance control logic for use.

[0079] The main task of the mechanical control and self - repair unit is to perform physical actions, such as disassembling broken parts and installing new parts. It performs precise operations by controlling the robotic arm two 23. The motion control relies on the conventional PID closed - loop control and combines inverse kinematics to find the position.

[0080] The 3D printing judgment unit is a module that determines whether a new part needs to be printed. If the AI determines that a certain part is broken and there is no ready - made spare part in the system, the 3D printing process will be triggered. It will automatically call the corresponding CAD model, and then the 3D printing mechanism 21 will perform the printing. The material is selected from the material box 22. The selection of the printing material is determined by scoring according to performance weights and adaptability:

[0081]

[0082] Among them, \(Material\) is the finally selected material to be used for printing; means "find the material number \(i\) that maximizes the following product"; \(W\) i is the performance weight of the \(i\) -th type of material, such as strength, heat resistance, corrosion resistance, etc., which can be set according to actual requirements; \(S\) i is the matching degree score of the \(i\) -th type of material with the current printing task, such as whether this material can meet the requirements of structural strength and whether the adhesiveness is suitable for the current part; \(i\) are all constants.

[0083] After printing, the new part will be picked up by the robotic arm one 20 and sent to the appropriate position on the conveyor belt 3, and then the robotic arm two 23 will complete the installation.

[0084] Working principle: When the UAV needs to conduct mid-air stop detection, according to the positioning signal at the position of the receiving plate 4, the UAV can enter the automatic landing program, automatically locate and land at the center position of the receiving plate 4. At this time, after the UAV lands, it will dock with the docking head 5, and then conduct power replenishment and stabilize the position of the UAV. After the UAV stops stably, at this time, the sealing plate 16 is opened by the electric push rod, and then the motor 10 starts to drive the large gear 11 to rotate. The rotation of the large gear 11 will drive the threaded column 7 to rotate synchronously. At this time, a threaded relationship will be generated between the threaded column 7 and the lifting column 6. Then, under the condition that the lifting column 6 slides along the slide rod 9 along the limiting block 8, it will descend along the thread, so as to drive the receiving plate 4 to lift and lower synchronously, and then recover the UAV into the cabin cabinet 1. After the recovery is completed, at this time, the electric push rod is used to drive the sealing plate 16 to close it, so as to seal the environment in the cabin and prevent pollution. Moreover, when the UAV lands in the cabin along with the receiving plate 4, the rotation of the corresponding large gear 11 will also drive the surrounding small gears 12 to rotate. Under the setting of different gear ratios, the rotation speed of the small gear 12 is much faster than that of the large gear 11. At this time, the small gear 12 can drive the fan blade 14 to generate wind power through the rotating column 13. Then, the wind blown by the fan blade 14 can be guided by the air duct 15 to blow upward synchronously, preventing the dust at the opening position from falling into the cabin cabinet 1 after the UAV falls. At the same time, the residual dust on the UAV can be blown out by the wind power. After the UAV completely falls into the cabin cabinet 1, at this time, the robotic arm two 23 starts to judge the state of the UAV through sensors and cameras, and finally confirms whether maintenance or cleaning is required through the PLC module. If it is confirmed that some parts of the UAV are severely worn and need to be replaced, the PLC module can be used to drive the 3D printing mechanism 21 to select the corresponding required materials from the material box 22 to 3D print the required components. After printing, the robotic arm one 20 will grab it and send it to the conveyor belt 3 to be transported to the appropriate position in the cabin cabinet 1, and then the robotic arm two 23 will grab the newly printed parts for disassembly and replacement operations.

[0085] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-functional integrated UAV transportation cabin, including a cabin cabinet (1), characterized in that, On one side of the mobile cabin cabinet (1), a printing cabinet (2) is provided. A conveyor belt (3) is arranged between the mobile cabin cabinet (1) and the printing cabinet (2). Inside the mobile cabin cabinet (1), a motor (10) is provided. The output end of the motor (10) is fixedly connected to a threaded column (7). The outer wall of the threaded column (7) is threadedly connected to a lifting column (6). One end of the lifting column (6) away from the threaded column (7) is fixed with a bearing plate (4). At the center position of the bearing plate (4), a docking head (5) is provided. Inside the mobile cabin cabinet (1), rotating columns (13) distributed in an annular array are rotated. Small gears (12) are fixedly arranged at the bottoms of the outer walls of the rotating columns (13). The small gears (12) are all meshed with a large gear (11). At the top of the outer wall of the rotating column (13), a fan blade (14) is fixedly arranged. At the tops of the small gears (12), air guide pipes (15) are arranged to wrap the fan blade (14) to guide the wind direction. A filter screen is arranged inside the air guide pipe (15). A limiting component is arranged on the outer wall of the lifting column (6). An overhaul component is arranged inside the mobile cabin cabinet (1). A part production mechanism is arranged inside the printing cabinet (2). A PLC module is arranged inside the mobile cabin cabinet (1).

2. The multifunctional integrated UAV transportation cabin according to claim 1, wherein The limiting component includes a limiting block (8). The limiting block (8) is fixed on the outer wall of the lifting column (6). A sliding rod (9) slides inside the limiting block (8). The sliding rod (9) is fixed inside the mobile cabin cabinet (1).

3. The multifunctional integrated UAV transportation cabin according to claim 1, characterized in that, The part production mechanism includes a 3D printing mechanism (21). A material box (22) is arranged on the top of the 3D printing mechanism (21). The 3D printing mechanism (21) is arranged inside the printing cabinet (2). On one side inside the printing cabinet (2), a support column (19) is installed. A robotic arm one (20) is arranged on the top of the support column (19).

4. A multifunctional integrated UAV transportation cabin according to claim 1, characterized in that, The overhaul component includes a robotic arm two (23). The robotic arm two (23) is arranged inside the mobile cabin cabinet (1). Cameras and sensors are assembled inside the robotic arm two (23). The robotic arm two (23) is electrically connected to the PLC module. An alarm (17) is arranged on the top of the robotic arm two (23). The alarm (17) is fixed on the top wall of the mobile cabin cabinet (1). The robotic arm two (23) is electrically connected to the alarm (17).

5. A multi-functional integrated UAV transportation cabin according to claim 1, characterized in that, A solar panel (18) is installed at the rear of the mobile cabin cabinet (1). The solar panel (18) is used to supply power to the power supply battery inside the mobile cabin cabinet (1).

6. The multifunctional integrated UAV transportation cabin according to claim 1, characterized in that, A robotic arm two (23) is installed on the front side of the mobile cabin cabinet (1). On the top of the mobile cabin cabinet (1), sealing plates (16) driven by electric push rods and distributed symmetrically are installed.

7. A multi-functional integrated UAV transportation cabin according to claim 1, characterized in that, The PLC module includes: A main control unit, which is used to run all control programs and diagnostic logics; A status monitoring and self-diagnosis unit, which is used to judge the health status of the key components of the UAV in real time through the camera at the position of the robotic arm two (23); A mechanical control and self-repair unit, which is used to judge whether maintenance is needed and how to carry out maintenance according to the health status of the key components of the UAV; A 3D printing judgment unit, which is used to judge whether a new part needs to be printed and replaced according to the health status of the key components of the drone.

8. A multi-functional integrated UAV transportation cabin according to claim 7, characterized in that, The state monitoring and self-diagnosis unit includes: A multi-source state fusion mechanism, which is used to combine camera images and sensor signals and make a comprehensive judgment through an internal AI model; An image recognition mechanism, which is used to detect external abnormalities such as missing propellers, broken fuselages, and dust accumulation.

9. A multi-functional integrated UAV transportation cabin according to claim 7, characterized in that, The mechanical control and self-repair unit includes: An action execution mechanism, which is used to drive the second robotic arm (23) to complete disassembly and reinstallation operations; An overhaul logic mechanism, which is used to decide whether to use manual prompts, automatic replacement, or overall lockdown according to the diagnosis level.

10. A multifunctional integrated UAV transportation cabin according to claim 7, characterized in that, The 3D printing judgment unit includes: A part modeling mechanism, which is used to print the component model required by the recognition result through the 3D printing mechanism (21); A printing strategy selection mechanism, which is used to judge which material in the material box (22) to use for part printing.

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