Unmanned aerial vehicle cargo transfer method and system, unmanned aerial vehicle and storage medium

Abstract

The invention discloses an unmanned aerial vehicle cargo transfer method and system, an unmanned aerial vehicle and a storage medium, and the method comprises the steps: obtaining the current navigation information when the unmanned aerial vehicle carries cargos according to a preset route; determining a transfer station in the preset route according to the current navigation information, and sending the current navigation information to an unmanned vehicle in the transfer station; landing at the transfer station according to the current navigation information to generate target arrival information; and according to the target arrival information, the goods are unloaded and put into the unmanned vehicle, so that the unmanned vehicle continues to transport the goods. According to the invention, after the unmanned aerial vehicle lands at the site of the route, the cargo is transferred to the unmanned vehicle for configuration, so that the logistics efficiency is improved.

Description

Technical Field

[0001] The present application relates to the technical field of drone cargo transfer, and in particular to a drone cargo operation method, system, drone and storage medium. Background Art

[0002] Currently, drones have begun to be used in the fields of express delivery and cargo transportation. They can fly autonomously to designated locations, but after arriving at the destination, human intervention is usually required to take the goods off or transfer them to other means of transportation. This process reduces the efficiency of the entire logistics chain and increases costs.

[0003] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0004] The main purpose of this application is to provide a drone cargo operation method, system, drone and storage medium, aiming to solve the problem in the prior art that after the drone autonomously flies to a designated location, human intervention is required to transfer the cargo, resulting in low efficiency of the entire logistics chain.

[0005] A first aspect of an embodiment of the present application provides a drone cargo operation method, which includes the following steps: when a drone is carrying cargo and traveling along a preset route, obtaining current navigation information of the drone carrying cargo; determining a transfer station in the preset route based on the current navigation information, and sending the current navigation information to an unmanned vehicle in the transfer station; landing at the transfer station based on the current navigation information and generating target arrival information; and unloading the cargo and delivering it to the unmanned vehicle based on the target arrival information, so that the unmanned vehicle continues to transport the cargo.

[0006] Optionally, in one embodiment of the present application, the current navigation information includes flight data and transportation data; determining the transfer site in the preset route based on the current navigation information specifically includes: acquiring landing locations of multiple sites in the preset route based on the flight data; and determining the transfer site from the multiple sites based on the transportation data and the multiple landing locations.

[0007] Optionally, in one embodiment of the present application, sending the current navigation information to the unmanned vehicle in the transfer station specifically includes: receiving station vehicle information sent by the transfer station; determining the unmanned vehicle in the transfer station based on the station vehicle information; and sending the flight data and the transportation data to the unmanned vehicle.

[0008] Optionally, in one embodiment of the present application, the flight data includes flight speed, flight altitude and flight position; the landing at the transfer site according to the current navigation information and generating target arrival information specifically include: obtaining the current distance of the UAV from the transfer site according to the flight speed, the flight altitude and the flight position; if the current distance is within a preset distance range, controlling the UAV to decelerate to a target speed and acquiring an identification image in the transfer site; adjusting the target posture of the UAV according to the target speed and the identification image, landing at the transfer site according to the target posture, and generating target arrival information.

[0009] Optionally, in one embodiment of the present application, the target attitude of the UAV is adjusted according to the target speed and the identification image, and the UAV lands at the transfer site according to the target attitude to generate target arrival information, which then includes: sending the target arrival information to the unmanned vehicle, and receiving vehicle transfer information generated by the unmanned vehicle in response to the target arrival information.

[0010] Optionally, in one embodiment of the present application, the cargo is unloaded and delivered to the unmanned vehicle according to the target arrival information, specifically including: docking with a docking mechanism corresponding to the unmanned vehicle according to the target arrival information and the vehicle transfer information, and receiving a transmission signal sent by the docking mechanism; unloading the cargo according to the transmission signal, so that the cargo is transferred to the unmanned vehicle.

[0011] Optionally, in one embodiment of the present application, the cargo is unloaded and delivered to an unmanned vehicle according to the target arrival information, and then further includes: receiving matching information of the unmanned vehicle for verifying the cargo; if the matching information meets the matching requirements, controlling the drone to navigate to the next mission point along the preset route.

[0012] The second aspect of the embodiment of the present application further provides a drone cargo operation system, wherein the drone cargo operation system includes:

[0013] The information acquisition module is used to follow the preset route and obtain the current navigation information of the drone when carrying cargo;

[0014] A site confirmation module, used to determine a transfer site in the preset route according to the current navigation information, and send the current navigation information to the unmanned vehicle in the transfer site;

[0015] An arrival and landing module, used for landing at the transfer station according to the current navigation information and generating target arrival information;

[0016] The cargo transfer module is used to unload the cargo and deliver it to the unmanned vehicle according to the target arrival information, so that the unmanned vehicle can continue to transport the cargo.

[0017] The third aspect of an embodiment of the present application also provides a drone, wherein the drone includes: a memory, a processor, and a drone cargo operation program stored in the memory and executable on the processor, and when the drone cargo operation program is executed by the processor, the steps of the drone cargo operation method described above are implemented.

[0018] The fourth aspect of an embodiment of the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a drone cargo operation program, and when the drone cargo operation program is executed by a processor, the steps of the drone cargo operation method as described above are implemented.

[0019] Beneficial effects: The present application provides a drone cargo operation method, system, drone and storage medium. The drone cargo operation method transfers the cargo to an unmanned vehicle for configuration after the drone lands at a station on the route, thereby improving logistics efficiency, reducing manual intervention, reducing costs, and expanding the scope of application of drones in the logistics field. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 It is a flow chart of a preferred embodiment of the drone cargo operation method of the present application;

[0022] Figure 2 It is a structural schematic diagram of a preferred embodiment of the drone cargo operation system of the present application;

[0023] Figure 3 This is a schematic structural diagram of a preferred embodiment of the drone of the present application.

[0024] Description of reference numerals:

[0025] 10. UAV cargo operation system; 100. Information acquisition module; 200. Site confirmation module; 300. Arrival and landing module; 400. Cargo transfer module.

[0026] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical scheme and effect of the present application clearer and more specific, the technical scheme in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. The described embodiments are only possible technical implementations of the present application, not all possible implementations. Based on the embodiments in the present application, those skilled in the art can completely combine the embodiments of the present application to obtain other embodiments without creative work, and these embodiments are also within the scope of protection of the present application.

[0028] In related technologies, after the drone arrives at the target location, manual operation is required to unload the goods, which increases time and labor costs; it is impossible to achieve full automation: due to the lack of an automatic transfer mechanism, drone transportation has failed to achieve end-to-end automation; safety hazards: safety accidents may occur during manual operation, causing damage to personnel or goods; limiting the scope of application of drones: due to transfer issues, the use of drones may be limited to occasions where direct delivery is possible, and cannot be widely used in more complex logistics scenarios.

[0029] The following describes the drone cargo operation method, system, drone and storage medium of the embodiment of the present application with reference to the accompanying drawings. In view of the problem in the above-mentioned related technology that after the drone autonomously flies to the designated location, manual intervention is required to transfer the cargo, resulting in low efficiency of the entire logistics chain, the present application provides a drone cargo operation method, in which the drone lands at a station on the route and transfers the cargo to an unmanned vehicle for configuration, thereby improving logistics efficiency, reducing manual intervention, reducing costs, and expanding the scope of application of drones in the logistics field. Thus, the technical problem in the related technology that after the drone autonomously flies to the designated location, manual intervention is required to transfer the cargo, resulting in low efficiency of the entire logistics chain is solved.

[0030] The embodiments of the present application have the following advantages:

[0031] (1) Automated transfer: Automated equipment enables seamless transfer of cargo from drones to unmanned vehicles without the need for human intervention.

[0032] (2) Improved efficiency: It reduces waiting and processing time caused by manual operations and improves the efficiency of the entire logistics chain.

[0033] (3) Expanding the scope of application: drones can be used in more complex logistics scenarios, such as rapid transportation between cities and emergency material delivery.

[0034] (4) Safety assurance: The automated process reduces human errors and safety risks, thus improving the safety of cargo transportation.

[0035] The technical solution of the present application is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0036] The drone cargo operation method described in the preferred embodiment of the present application is as follows: Figure 1 As shown, the drone cargo operation method includes the following steps:

[0037] In step S101, when the drone is carrying cargo and traveling along a preset route, current navigation information of the drone carrying cargo is obtained.

[0038] Specifically, route planning and task allocation first need to clarify the final destination of the goods and customer needs, such as delivery time, special handling requirements, etc.; check the weather conditions in the expected flight path, avoid bad weather areas, and ensure flight safety; confirm restrictions in the flight area, such as no-fly zones, restricted altitude zones, etc., as well as required special permissions or notifications; plan possible relay sites based on the drone's endurance and expected flight distance so that the drone can be charged or the battery replaced when needed; through the integration of this data and information, the control center can plan a safe and efficient route. Automatic takeoff and navigation, the drone automatically takes off according to preset instructions without human intervention; after takeoff, the drone enters the navigation mode and uses the global positioning system (GPS, GLONASS) for basic navigation. In order to improve positioning accuracy, auxiliary systems such as RTK (real-time dynamic differential technology) may be used, especially in operations that require high-precision landing. Real-time communication and monitoring: During the entire flight, the drone maintains a real-time communication connection with the control center. The drone continuously sends its flight data (such as speed, altitude, location, battery status) and status information back to the control center. Based on the data received, the control center can adjust the drone's route or execute other instructions in real time, such as responding to sudden weather changes or airspace conflicts.

[0039] The embodiments of the present application ensure that the drone can fly safely and accurately from the starting point to the predetermined transfer site.

[0040] In step S102, a transfer station is determined in the preset route according to the current navigation information, and the current navigation information is sent to the unmanned vehicle in the transfer station.

[0041] In a possible implementation, the landing positions of multiple sites in the preset route are obtained according to the flight data; the transfer site is determined from the multiple sites according to the transportation data and the multiple landing positions; the site vehicle information sent by the transfer site is received; the unmanned vehicle in the transfer site is determined according to the site vehicle information; and the flight data and the transportation data are sent to the unmanned vehicle.

[0042] It should be noted that when the drone approaches the scheduled transfer site, it will slow down and search for the designated landing point. These landing points are equipped with special marking or signal systems to assist in precise landing.

[0043] Specifically, deceleration and positioning: when the UAV approaches the transfer site, it starts to decelerate according to a pre-set program and starts the landing point search program, using radar, GPS or other sensors to help determine the precise location; Search for landing points: The UAV uses onboard cameras and sensors to scan the ground, looking for specific markers or signals, which may be visual markers (such as logos of specific colors or shapes) or more technical signal transmitters (such as infrared or RFID tags); Signal system assistance: In order to improve the accuracy of landing, the transfer site may be equipped with advanced signal systems, such as radio beacons or laser positioning systems, which can provide precise location information to help the UAV adjust its position and attitude to ensure a safe and accurate landing.

[0044] In step S103, the aircraft lands at the transfer station according to the current navigation information, and generates target arrival information.

[0045] In one possible implementation, the current distance of the UAV from the transfer site is obtained based on the flight speed, the flight altitude and the flight position; if the current distance is within a preset distance range, the UAV is controlled to decelerate to a target speed, and an identification image in the transfer site is acquired; based on the target speed and the identification image, the target attitude of the UAV is adjusted, and the UAV lands at the transfer site according to the target attitude, generating target arrival information.

[0046] It should be noted that after the drone automatically lands at the transfer station, it transfers the goods to the unmanned vehicle through a robotic arm, conveyor belt or other automatic docking device. This process is completed automatically without human intervention.

[0047] Specifically, when approaching the landing point, the drone will adjust its flight altitude and speed to prepare for landing. At the same time, the drone will use its sensors and onboard computer system to detect whether the landing area is clear and ensure that there are no obstacles; Execute landing: Using a high-precision positioning system and control algorithm, the drone slowly descends until the landing device (such as wheels or landing pad) touches the ground smoothly. Cargo docking, after landing, the drone's system will perform a self-check to ensure that all components are working properly. At the same time, the unmanned vehicle or other automatic docking device will move to the predetermined position to prepare to receive the cargo.

[0048] That is to say, the embodiment of the present application realizes seamless cargo transfer between drones and unmanned vehicles through advanced automation technology. The entire process does not require human intervention, thereby improving logistics efficiency and reducing costs and potential risks.

[0049] In step S104, according to the target arrival information, the goods are unloaded and delivered to the unmanned vehicle, so that the unmanned vehicle continues to transport the goods.

[0050] In a possible implementation, the target arrival information is sent to the unmanned vehicle, and the vehicle transfer information generated by the unmanned vehicle in response to the target arrival information is received. According to the target arrival information and the vehicle transfer information, docking is performed with the docking mechanism corresponding to the unmanned vehicle, and a transmission signal sent by the docking mechanism is received; the goods are unloaded according to the transmission signal, so that the goods are transferred to the unmanned vehicle.

[0051] Specifically, robotic arm or conveyor belt operation: The drone may be equipped with devices such as robotic arms or conveyor belts. The robotic arms will move precisely to the cargo storage location according to the preset program and unlock or disconnect the cargo fixing device. Cargo transfer: The robotic arm or other automatic device moves the cargo smoothly to the unmanned vehicle. This process requires precise control to avoid shaking or falling of the cargo during the transfer process; on the unmanned vehicle, the cargo is placed in a pre-prepared position and is fixed or locked to ensure safety during the unmanned vehicle transportation. Transfer completion and confirmation: After the cargo transfer is completed, the automatic docking device such as the robotic arm or conveyor belt will withdraw to the initial position to prepare for the next operation; the drone and the unmanned vehicle each perform a system check to confirm that the cargo has been safely transferred and send a signal to the control center to complete the task.

[0052] It should be noted that after receiving the goods, the unmanned vehicle will check and configure the goods according to the pre-set program, and then start to continue to the next destination or final delivery point; after completing the transfer of goods, the drone can take off autonomously, return to the base or move to another location to wait for the next task. All data from the entire transfer process is collected and analyzed to optimize future transportation operations and improve the overall efficiency and reliability of the system.

[0053] In one possible implementation, matching information of the unmanned vehicle verifying the cargo is received; if the matching information meets the matching requirements, the unmanned aerial vehicle is controlled to navigate to the next mission point along the preset route.

[0054] Specifically, the unmanned vehicle is configured and continues to transport. The unmanned vehicle uses sensors or scanning equipment to confirm that the received goods match the expected goods to ensure correctness; according to the final destination or special requirements of the goods, the unmanned vehicle may reorder or adjust the goods to optimize the subsequent transportation process; after the configuration is completed, the unmanned vehicle automatically navigates to the next destination or final delivery point according to the preset route. This process may include multiple stops to complete the delivery of all goods. The return or standby of the drone, if it needs to return to the base or move to other locations, the drone will take off autonomously without human intervention; according to the mission requirements, the drone will return to the base for maintenance, charging or fly directly to other mission locations; after arriving at the designated location, the drone enters standby mode and waits for the next mission instruction. Full tracking and data analysis, from takeoff to landing, and then to each link of the unmanned vehicle transportation, the system will collect a large amount of data, such as location, speed, cargo status, etc.; using big data analysis and machine learning algorithms, analyze the collected data to identify bottlenecks and problem points in the transportation process; based on the results of data analysis, adjust logistics strategies and transportation processes, such as optimizing route planning and adjusting cargo configuration methods to improve overall efficiency and reduce costs.

[0055] Next, the drone cargo operation system proposed according to the embodiment of the present application is described with reference to the accompanying drawings.

[0056] Figure 2 It is a block diagram of the drone cargo operation system of an embodiment of the present application.

[0057] like Figure 2 As shown, the drone cargo operation system 10 includes: an information acquisition module 100 , a site confirmation module 200 , an arrival and landing module 300 and a cargo transfer module 400 .

[0058] Specifically, the information acquisition module 100 is used to travel according to a preset route and obtain the current navigation information of the drone when carrying cargo;

[0059] A station confirmation module 200, for determining a transfer station in the preset route according to the current navigation information, and sending the current navigation information to the unmanned vehicle in the transfer station;

[0060] An arrival and landing module 300, for landing at the transfer station according to the current navigation information and generating target arrival information;

[0061] The cargo transfer module 400 is used to unload the cargo and deliver it to the unmanned vehicle according to the target arrival information, so that the unmanned vehicle can continue to transport the cargo.

[0062] Figure 3 A schematic diagram of the structure of a drone provided in an embodiment of the present application. The drone may include:

[0063] A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .

[0064] When the processor 502 executes the program, the drone cargo operation method provided in the above embodiment is implemented.

[0065] Furthermore, the drone also includes:

[0066] The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0067] The memory 501 is used to store computer programs that can be executed on the processor 502 .

[0068] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0069] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EIS) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0070] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0071] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0072] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned drone cargo operation method is implemented.

[0073] One embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the present application Figure 1 The drone cargo operation method provided in any embodiment of the corresponding embodiment.

[0074] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0075] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0076] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0077] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable storage medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, a "computer-readable storage medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples (non-exhaustive list) of computer-readable storage media include the following: an electrical connection with one or N wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable storage medium may even be paper or other suitable medium on which the program is printed, since the program can be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary, and then storing it in a computer memory.

[0078] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0079] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0080] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0081] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

[0082] It should be understood that the application of the present application is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to this application.

[0083] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for transporting cargo using an unmanned aerial vehicle, characterized in that: The drone cargo operation method comprises: When the drone is carrying cargo and traveling along a preset route, obtain the current navigation information of the drone carrying cargo; Determine a transfer station in the preset route according to the current navigation information, and send the current navigation information to the unmanned vehicle in the transfer station; Landing at the transfer station according to the current navigation information, generating target arrival information; According to the target arrival information, the goods are unloaded and delivered to the unmanned vehicle, so that the unmanned vehicle continues to transport the goods.

2. The drone cargo operation method according to claim 1, characterized in that: The current navigation information includes flight data and transportation data; Determining a transfer station in the preset route according to the current navigation information specifically includes: According to the flight data, acquiring landing positions of a plurality of sites in the preset route; The transfer site is determined from a plurality of the sites based on the transportation data and the plurality of the landing locations.

3. The drone cargo operation method according to claim 2, characterized in that: The sending of the current navigation information to the unmanned vehicle in the transfer station specifically includes: Receiving the station vehicle information sent by the transfer station; Determining the unmanned vehicle in the transfer station according to the vehicle information of the station; The flight data and the transportation data are sent to the unmanned vehicle.

4. The drone cargo operation method according to claim 2, characterized in that: The flight data includes flight speed, flight altitude and flight position; The step of landing at the transfer station according to the current navigation information and generating target arrival information specifically includes: Obtaining a current distance between the UAV and the transfer site according to the flight speed, the flight altitude, and the flight position; If the current distance is within a preset distance range, control the drone to decelerate to a target speed and obtain a logo image at the transfer station; According to the target speed and the identification image, the target posture of the UAV is adjusted, and the UAV is landed at the transfer site according to the target posture to generate target arrival information.

5. The drone cargo operation method according to claim 4, characterized in that: The step of adjusting the target attitude of the UAV according to the target speed and the identification image, landing at the transfer station according to the target attitude, and generating target arrival information further includes: The target arrival information is sent to the unmanned vehicle, and vehicle transfer information generated by the unmanned vehicle in response to the target arrival information is received.

6. The drone cargo operation method according to claim 5, characterized in that: The step of unloading the cargo and delivering it to the unmanned vehicle according to the target arrival information specifically includes: docking with a docking mechanism corresponding to the unmanned vehicle according to the target arrival information and the vehicle transfer information, and receiving a transmission signal sent by the docking mechanism; The cargo is unloaded according to the transmission signal so that the cargo is transferred to the unmanned vehicle.

7. The drone cargo operation method according to claim 1, characterized in that: The step of unloading the cargo and delivering it to the unmanned vehicle according to the target arrival information further includes: Receiving matching information of the unmanned vehicle verifying the goods; If the matching information meets the matching requirements, the drone is controlled to navigate to the next mission point along the preset route.

8. A drone cargo operation system, characterized in that: The drone cargo operation system includes: The information acquisition module is used to follow the preset route and obtain the current navigation information of the drone when carrying cargo; A site confirmation module, used to determine a transfer site in the preset route according to the current navigation information, and send the current navigation information to the unmanned vehicle in the transfer site; An arrival and landing module, used for landing at the transfer station according to the current navigation information and generating target arrival information; The cargo transfer module is used to unload the cargo and deliver it to the unmanned vehicle according to the target arrival information, so that the unmanned vehicle can continue to transport the cargo.

9. A drone, characterized in that: The drone includes: a memory, a processor, and a drone cargo operation program stored in the memory and executable on the processor. When the drone cargo operation program is executed by the processor, the steps of the drone cargo operation method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a drone cargo operation program, and when the drone cargo operation program is executed by the processor, the steps of the drone cargo operation method according to any one of claims 1 to 7 are implemented.

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