A logistics management system and method for fixed-wing large cargo drones

Abstract

The present invention discloses a logistics management system and method for fixed-wing large-scale cargo drones, belonging to the field of logistics management technology, and includes a terminal monitoring unit, the input end of which is bidirectionally connected to a No. 1 logistics node monitoring unit, a No. 2 logistics node monitoring unit, and a No. 3 logistics node monitoring unit. In the present invention, the terminal monitoring unit sends an execution instruction to the drone monitoring unit, and the cargo lifting control module lifts the package to the inside of the cabin. If it is along the return direction of the fixed-wing large-scale cargo drone, the fuel consumption metering module calculates the fuel consumption difference between the current carrying package and the carrying package after the return trip according to the weight of the package to be transferred, so that the transportation route of the fixed-wing large-scale cargo drone is planned with the lowest fuel consumption, so that the management cost of the fixed-wing large-scale cargo drone in the logistics industry can be greatly reduced, ensuring the overall benefits of the logistics industry and effectively promoting the healthy and sustainable development of the logistics industry.

Description

Technical Field

[0001] The present invention belongs to the technical field of logistics management, and in particular relates to a logistics management system and method for a large fixed-wing cargo unmanned aerial vehicle. Background Art

[0002] In the new era, with the development and transformation of innovative industries, new industries are booming. With the rapid development of economic globalization, logistics companies have become a very active topic in economic activities. As an important part of contemporary enterprises, reducing logistics costs is an important part of corporate profit growth.

[0003] The logistics management system and method of fixed-wing large cargo drones in the prior art still have some shortcomings during use. Since the fixed-wing large cargo drones carry packages along the logistics route from the starting point to the end point, they will continuously deliver the packages to various node cities on the route. During this process, the fixed-wing large cargo drones have a rising and falling behavior, which not only increases the delivery time of the packages, but also requires a large open space to ensure the safe landing and take-off of the fixed-wing large cargo drones. In addition, some packages in these cities will be transported in the reverse direction or return direction of the fixed-wing large cargo drones. If the node city packages are transported in the return direction, if the weight is too large, it will increase the fuel consumption of the fixed-wing large cargo drone.

[0004] Based on this, the present invention designs a logistics management system and method for fixed-wing large cargo drones to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to solve the problems that the logistics management system and method of fixed-wing large cargo drones in the prior art still have some shortcomings during use. Since the fixed-wing large cargo drone carries packages along the logistics route from the starting point to the end point, the packages will be continuously delivered to various node cities on the route. During this process, the fixed-wing large cargo drone has a lifting behavior, which will not only increase the delivery time of the package, but also provide a large open space to ensure the safe landing and take-off of the fixed-wing large cargo drone. In addition, some packages in these cities will be transported in the reverse direction or return direction of the fixed-wing large cargo drone. If the node city package is transported in the return direction, if the weight is too large, it will increase the fuel consumption of the fixed-wing large cargo drone. A logistics management system and method for fixed-wing large cargo drones are proposed.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A logistics management system for a large fixed-wing cargo drone, comprising an end point monitoring unit, wherein an input end of the end point monitoring unit is bidirectionally connected to a first logistics node monitoring unit, a second logistics node monitoring unit, and a third logistics node monitoring unit;

[0008] The input end of the endpoint monitoring unit is bidirectionally connected to the logistics master control unit;

[0009] The output end of the endpoint monitoring unit is electrically connected to the input end of the drone monitoring unit;

[0010] The endpoint monitoring unit is used to transmit communication data between the drone monitoring unit and the No. 1 logistics node monitoring unit, the No. 2 logistics node monitoring unit and the No. 3 logistics node monitoring unit.

[0011] As a further description of the above technical solution:

[0012] The drone monitoring unit includes a microprocessor, an input end of the microprocessor is electrically connected to an output end of the drone GPS positioning module, and an output end of the microprocessor is electrically connected to input ends of a cargo handling control module, a cabin door control module, a cargo lifting control module, and an airborne display module, respectively;

[0013] The input end of the microprocessor is electrically connected to the output end of the fuel consumption metering module, and the output end of the microprocessor is electrically connected to the input end of the drone 5G communication module;

[0014] The input end of the microprocessor is electrically connected to the output ends of the wind speed monitoring module, the shelf load measurement module and the fuel tank monitoring module;

[0015] The input end of the microprocessor is bidirectionally connected to the onboard data storage library.

[0016] As a further description of the above technical solution:

[0017] The No. 1 logistics node monitoring unit includes a No. 1 logistics node 5G communication module, and the input end of the No. 1 logistics node 5G communication module is electrically connected to the output ends of the No. 1 logistics node receipt reminder module and the No. 1 logistics node delivery reminder module respectively;

[0018] The input end of the No. 1 logistics node 5G communication module is electrically connected to the output ends of the No. 1 cargo package receiving module, the No. 1 cargo package sending module, the No. 1 logistics node GPS positioning module and the No. 1 package weight sending module respectively.

[0019] As a further description of the above technical solution:

[0020] The No. 2 logistics node monitoring unit includes a No. 2 logistics node 5G communication module, and the input end of the No. 2 logistics node 5G communication module is electrically connected to the output ends of the No. 2 logistics node receipt reminder module and the No. 2 logistics node delivery reminder module respectively;

[0021] The input end of the No. 2 logistics node 5G communication module is electrically connected to the output ends of the No. 2 cargo package receiving module, the No. 2 cargo package sending module, the No. 2 logistics node GPS positioning module and the No. 2 package weight sending module respectively.

[0022] As a further description of the above technical solution:

[0023] The No. 3 logistics node monitoring unit includes a No. 3 logistics node 5G communication module, and the input end of the No. 3 logistics node 5G communication module is electrically connected to the output ends of the No. 3 logistics node receipt reminder module and the No. 3 logistics node delivery reminder module respectively;

[0024] The input end of the No. 3 logistics node 5G communication module is electrically connected to the output ends of the No. 3 cargo package receiving module, the No. 3 cargo package sending module, the No. 3 logistics node GPS positioning module and the No. 3 package weight sending module respectively.

[0025] As a further description of the above technical solution:

[0026] The endpoint monitoring unit includes an endpoint 5G communication module, and the input end of the endpoint 5G communication module is electrically connected to the output end of the endpoint GPS positioning module;

[0027] The input end of the destination 5G communication module is electrically connected to the output ends of the destination cargo package receiving module, the destination cargo package sending module and the destination cargo package weight sending module respectively.

[0028] As a further description of the above technical solution:

[0029] The logistics control unit includes a central processor, and the output end of the central processor is electrically connected to the origin point cargo package weight sending module, the origin point 5G communication module, the analysis and planning module, and the input end of the call center module respectively;

[0030] The input end of the central processing unit is electrically connected to the output end of the originating point GPS positioning module and the monitoring and dispatching display module respectively;

[0031] The input end of the central processing unit is bidirectionally connected to the central data storage module.

[0032] As a further description of the above technical solution:

[0033] The central processor is wirelessly connected to the No. 1 logistics node 5G communication module, the No. 2 logistics node 5G communication module, the No. 3 logistics node 5G communication module and the terminal 5G communication module through the starting point 5G communication module. The central processor is wirelessly connected to the drone 5G communication module through the starting point 5G communication module to form a machine network.

[0034] As a further description of the above technical solution:

[0035] The airborne display module is used to realize the mapping display of the motion trajectory of the fixed-wing large cargo drone, as well as the cargo loading information of the fixed-wing large cargo drone and the logistics nodes that need to be docked in the future.

[0036] A logistics management method for a large fixed-wing cargo drone, the logistics management method for a large fixed-wing cargo drone comprising the following steps:

[0037] S1: The central processor establishes a network with the fixed-wing large cargo drone through the 5G communication module at the origin and the drone. The analysis and planning module makes reasonable allocation and selects the appropriate logistics delivery route based on the package weight, delivery address, package volume and expected delivery time.

[0038] S2: After receiving the logistics distribution instruction, the microprocessor analyzes, processes and judges the received instruction, and then controls the cabin door control module to open the cabin door. After the cabin door is opened, the cargo lifting control module and the cargo handling control module cooperate with each other. First, the cargo lifting control module controls the hoisting device to lift the parcels on the ground to the inside of the fixed-wing large cargo drone. Then, the cargo handling control module controls the manipulator to place multiple parcels on the shelf. The shelf load metering module detects the weight of the parcels on the shelf. Finally, the fuel consumption metering module calculates and obtains the fuel consumption of the fixed-wing large cargo drone under the current load.

[0039] S3: When a large fixed-wing cargo drone carrying a package flies along the logistics route to the No. 1 logistics node, the No. 2 logistics node, or the No. 3 logistics node, the wind speed monitoring module will detect the current wind speed and determine the impact of the wind speed on the package release based on the weight of the package to be released. If the release standard is met, the package will be directly dropped from high altitude. The cargo handling control module controls the manipulator to mount the package to be dropped on the winch, and the cargo lifting control module drops the package to be dropped to the No. 1 logistics node, the No. 2 logistics node, or the No. 3 logistics node.

[0040] S4: There are packages to be transferred on the logistics route at logistics node No. 1, logistics node No. 2 or logistics node No. 3. If it is along the forward direction of the fixed-wing large cargo drone, the logistics node monitoring unit No. 1, logistics node monitoring unit No. 2 or logistics node monitoring unit No. 3 will directly send the information of the packages to be shipped to the terminal monitoring unit via the cargo package sending module No. 1, cargo package sending module No. 2 or cargo package sending module No. 3. The terminal monitoring unit will send the execution instruction to the drone monitoring unit, and the cargo lifting control module will lift the package into the cabin. If it is along the return direction of the fixed-wing large cargo drone, the fuel consumption metering module will calculate the fuel consumption difference between the current carried package and the carried package after the return trip based on the weight of the package to be transferred.

[0041] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0042] In the present invention, if there are packages to be transferred on the logistics route at logistics node No. 1, logistics node No. 2 or logistics node No. 3, if it is along the forward direction of the fixed-wing large cargo drone, the logistics node monitoring unit No. 1, logistics node monitoring unit No. 2 or logistics node monitoring unit No. 3 will directly send the information of the packages to be shipped to the terminal monitoring unit via the cargo package sending module No. 1, cargo package sending module No. 2 or cargo package sending module No. 3, and the terminal monitoring unit will send the execution instruction to the drone monitoring unit, and the cargo lifting control module will lift the package into the cabin. If it is along the return direction of the fixed-wing large cargo drone, the fuel consumption metering module will calculate the fuel consumption difference between the current carried package and the carried package after the return trip according to the weight of the package to be transferred, so that the transportation route of the fixed-wing large cargo drone can be planned with the lowest fuel consumption, so that the management cost of the fixed-wing large cargo drones in the logistics industry can be greatly reduced, ensuring the overall benefits of the logistics industry and effectively promoting the healthy and sustainable development of the logistics industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a module block diagram of a logistics management system and method for a fixed-wing large cargo drone proposed by the present invention;

[0044] Figure 2 This is a module block diagram of a drone monitoring unit in a logistics management system and method for a large fixed-wing cargo drone proposed by the present invention;

[0045] Figure 3 This is a module block diagram of a No. 1 logistics node monitoring unit in a logistics management system and method for a fixed-wing large cargo drone proposed by the present invention;

[0046] Figure 4 This is a module block diagram of a No. 2 logistics node monitoring unit in a logistics management system and method for a fixed-wing large cargo drone proposed by the present invention;

[0047] Figure 5 This is a module block diagram of a No. 3 logistics node monitoring unit in a logistics management system and method for a fixed-wing large cargo drone proposed by the present invention;

[0048] Figure 6 This is a module block diagram of an endpoint monitoring unit in a logistics management system and method for a large fixed-wing cargo drone proposed by the present invention;

[0049] Figure 7 This is a module block diagram of a logistics master control unit in a logistics management system and method for a fixed-wing large cargo drone proposed by the present invention.

[0050] Legend:

[0051] 1. UAV monitoring unit; 101. Microprocessor; 102. UAV GPS positioning module; 103. Cargo handling control module; 104. Cabin door control module; 105. Cargo lifting control module; 106. Airborne display module; 107. Fuel consumption metering module; 108. UAV 5G communication module; 109. Wind speed monitoring module; 110. Shelf load metering module; 111. Fuel tank monitoring module; 112. Airborne data storage library; 2. No. 1 logistics node monitoring unit; 201. No. 1 logistics node 5G communication module Block; 202, No. 1 logistics node receiving reminder module; 203, No. 1 logistics node shipping reminder module; 204, No. 1 cargo package receiving module; 205, No. 1 cargo package sending module; 206, No. 1 logistics node GPS positioning module; 207, No. 1 package weight sending module; 3, No. 2 logistics node monitoring unit; 301, No. 2 logistics node 5G communication module; 302, No. 2 logistics node receiving reminder module; 303, No. 2 logistics node shipping reminder module; 304, No. 2 cargo package receiving module; 305, No. Cargo package sending module; 306, No. 2 logistics node GPS positioning module; 307, No. 2 package weight sending module; 4, No. 3 logistics node monitoring unit; 401, No. 3 logistics node 5G communication module; 402, No. 3 logistics node receiving reminder module; 403, No. 3 logistics node shipping reminder module; 404, No. 3 cargo package receiving module; 405, No. 3 cargo package sending module; 406, No. 3 logistics node GPS positioning module; 407, No. 3 package weight sending module; 5, terminal monitoring unit; 501, terminal 5G communication module; 502, destination GPS positioning module; 503, destination cargo package receiving module; 504, destination cargo package sending module; 505, destination cargo package weight sending module; 6, logistics control unit; 601, central processing unit; 602, departure point cargo package weight sending module; 603, departure point 5G communication module; 604, analysis and planning module; 605, call center module; 606, departure point GPS positioning module; 607, monitoring and scheduling display module; 608, central data storage module. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] See also Figure 1-Figure 7, the present invention provides a technical solution: a logistics management system for a fixed-wing large-scale cargo drone, comprising an end point monitoring unit 5, the input end of which is bidirectionally connected to a first logistics node monitoring unit 2, a second logistics node monitoring unit 3 and a third logistics node monitoring unit 4;

[0054] The input end of the terminal monitoring unit 5 is bidirectionally connected to the logistics control unit 6;

[0055] The output end of the endpoint monitoring unit 5 is electrically connected to the input end of the drone monitoring unit 1;

[0056] The terminal monitoring unit 5 is used for transmitting communication data between the drone monitoring unit 1 and the No. 1 logistics node monitoring unit 2 , the No. 2 logistics node monitoring unit 3 and the No. 3 logistics node monitoring unit 4 .

[0057] Specifically, the drone monitoring unit 1 includes a microprocessor 101, an input end of the microprocessor 101 is electrically connected to an output end of a drone GPS positioning module 102, and an output end of the microprocessor 101 is electrically connected to input ends of a cargo handling control module 103, a cabin door control module 104, a cargo lifting control module 105, and an onboard display module 106, respectively;

[0058] The input end of the microprocessor 101 is electrically connected to the output end of the fuel consumption metering module 107, and the output end of the microprocessor 101 is electrically connected to the input end of the drone 5G communication module 108;

[0059] The input end of the microprocessor 101 is electrically connected to the output ends of the wind speed monitoring module 109 , the shelf load measurement module 110 , and the fuel tank monitoring module 111 ;

[0060] The input terminal of the microprocessor 101 is bidirectionally connected to the onboard data storage library 112 .

[0061] Specifically, the No. 1 logistics node monitoring unit 2 includes a No. 1 logistics node 5G communication module 201, and the input end of the No. 1 logistics node 5G communication module 201 is electrically connected to the output ends of the No. 1 logistics node receiving reminder module 202 and the No. 1 logistics node shipping reminder module 203 respectively;

[0062] The input end of the No. 1 logistics node 5G communication module 201 is electrically connected to the output ends of the No. 1 cargo package receiving module 204, the No. 1 cargo package sending module 205, the No. 1 logistics node GPS positioning module 206 and the No. 1 package weight sending module 207 respectively.

[0063] Specifically, the No. 2 logistics node monitoring unit 3 includes a No. 2 logistics node 5G communication module 301, and the input end of the No. 2 logistics node 5G communication module 301 is electrically connected to the output ends of the No. 2 logistics node receiving reminder module 302 and the No. 2 logistics node shipping reminder module 303 respectively;

[0064] The input end of the No. 2 logistics node 5G communication module 301 is electrically connected to the output ends of the No. 2 cargo package receiving module 304, the No. 2 cargo package sending module 305, the No. 2 logistics node GPS positioning module 306 and the No. 2 package weight sending module 307 respectively.

[0065] Specifically, the No. 3 logistics node monitoring unit 4 includes a No. 3 logistics node 5G communication module 401, and the input end of the No. 3 logistics node 5G communication module 401 is electrically connected to the output ends of the No. 3 logistics node receiving reminder module 402 and the No. 3 logistics node shipping reminder module 403 respectively;

[0066] The input end of the No. 3 logistics node 5G communication module 401 is electrically connected to the output ends of the No. 3 cargo package receiving module 404, the No. 3 cargo package sending module 405, the No. 3 logistics node GPS positioning module 406 and the No. 3 package weight sending module 407 respectively.

[0067] Specifically, the endpoint monitoring unit 5 includes an endpoint 5G communication module 501, and an input end of the endpoint 5G communication module 501 is electrically connected to an output end of the endpoint GPS positioning module 502;

[0068] The input end of the destination 5G communication module 501 is electrically connected to the output ends of the destination cargo package receiving module 503 , the destination cargo package sending module 504 , and the destination cargo package weight sending module 505 , respectively.

[0069] Specifically, the logistics control unit 6 includes a central processor 601, and the output end of the central processor 601 is electrically connected to the input end of the originating point cargo package weight sending module 602, the originating point 5G communication module 603, the analysis and planning module 604, and the call center module 605;

[0070] The input end of the central processor 601 is electrically connected to the output end of the originating point GPS positioning module 606 and the monitoring and dispatching display module 607 respectively;

[0071] The input end of the central processor 601 is bidirectionally connected to the central data storage module 608 .

[0072] Specifically, the central processor 601 is wirelessly connected to the No. 1 logistics node 5G communication module 201, the No. 2 logistics node 5G communication module 301, the No. 3 logistics node 5G communication module 401 and the terminal 5G communication module 501 through the starting point 5G communication module 603. The central processor 601 is wirelessly connected to the drone 5G communication module 108 through the starting point 5G communication module 603 to form a machine network.

[0073] Specifically, the airborne display module 106 is used to realize the map display of the movement trajectory of the fixed-wing large cargo drone, as well as the cargo loading information of the fixed-wing large cargo drone and the subsequent logistics nodes that need to be docked.

[0074] A logistics management method for a large fixed-wing cargo drone, the logistics management method for a large fixed-wing cargo drone comprising the following steps:

[0075] S1: The central processor 601 establishes a network with the fixed-wing large cargo drone through the originating point 5G communication module 603 and the drone 5G communication module 108, and the analysis and planning module 604 reasonably allocates and selects a suitable logistics distribution route according to the package weight, delivery address, package volume and expected delivery time of the package;

[0076] S2: After receiving the logistics distribution instruction, the microprocessor 101 analyzes, processes and judges the received instruction, and then controls the cabin door control module 104 to open the cabin door. After the cabin door is opened, the cargo lifting control module 105 and the cargo handling control module 103 cooperate with each other. First, the cargo lifting control module 105 controls the hoisting device to lift the parcels on the ground to the inside of the fixed-wing large cargo drone, and then the cargo handling control module 103 controls the manipulator to place multiple parcels on the shelf. The shelf load metering module 110 detects the weight of the parcels on the shelf. Finally, the fuel consumption metering module 107 calculates and obtains the fuel consumption of the fixed-wing large cargo drone under the current load;

[0077] S3: When the fixed-wing large cargo drone carries the package and flies along the logistics route to the No. 1 logistics node, the No. 2 logistics node or the No. 3 logistics node, the wind speed monitoring module 109 will detect the current wind speed and judge the influence of the wind speed on the release of the package according to the weight of the package to be released. If it meets the release standard, it will be directly dropped from the high altitude. The cargo handling control module 103 controls the manipulator to mount the package to be released on the winch equipment, and the cargo lifting control module 105 drops the package to be released to the No. 1 logistics node, the No. 2 logistics node or the No. 3 logistics node;

[0078] S4: There are packages to be transferred on the logistics route at logistics node No. 1, logistics node No. 2 or logistics node No. 3. If it is along the forward direction of the fixed-wing large cargo drone, logistics node No. 1 monitoring unit 2, logistics node No. 2 monitoring unit 3 or logistics node No. 3 monitoring unit 4 will directly send the information of the packages to be shipped to the terminal monitoring unit 5 via cargo package sending module No. 1 205, cargo package sending module No. 2 305 or cargo package sending module No. 3 405. The terminal monitoring unit 5 will send the execution instruction to the drone monitoring unit 1, and the cargo lifting control module 105 will lift the package into the cabin. If it is along the return direction of the fixed-wing large cargo drone, the fuel consumption metering module 107 will calculate the fuel consumption difference between the current carried package and the carried package after the return trip based on the weight of the package to be transferred.

[0079] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A logistics management system for a large fixed-wing cargo drone, comprising a terminal monitoring unit (5), characterized in that: The input end of the terminal monitoring unit (5) is bidirectionally connected to the first logistics node monitoring unit (2), the second logistics node monitoring unit (3) and the third logistics node monitoring unit (4); The input end of the endpoint monitoring unit (5) is bidirectionally connected to a logistics control unit (6); The output end of the endpoint monitoring unit (5) is electrically connected to the input end of the drone monitoring unit (1); The endpoint monitoring unit (5) is used for transmitting communication data between the drone monitoring unit (1) and the No. 1 logistics node monitoring unit (2), the No. 2 logistics node monitoring unit (3) and the No. 3 logistics node monitoring unit (4); The drone monitoring unit (1) comprises a microprocessor (101), an input end of the microprocessor (101) being electrically connected to an output end of a drone GPS positioning module (102), and an output end of the microprocessor (101) being electrically connected to input ends of a cargo handling control module (103), a cabin door control module (104), a cargo lifting control module (105) and an onboard display module (106); The input end of the microprocessor (101) is electrically connected to the output end of the fuel consumption metering module (107), and the output end of the microprocessor (101) is electrically connected to the input end of the drone 5G communication module (108); The input end of the microprocessor (101) is electrically connected to the output ends of the wind speed monitoring module (109), the shelf load measurement module (110) and the fuel tank monitoring module (111); The input end of the microprocessor (101) is bidirectionally connected to an onboard data storage library (112); The No. 1 logistics node monitoring unit (2) comprises a No. 1 logistics node 5G communication module (201), and the input end of the No. 1 logistics node 5G communication module (201) is electrically connected to the output ends of the No. 1 logistics node receiving reminder module (202) and the No. 1 logistics node shipping reminder module (203) respectively; The input end of the No. 1 logistics node 5G communication module (201) is electrically connected to the output ends of the No. 1 cargo package receiving module (204), the No. 1 cargo package sending module (205), the No. 1 logistics node GPS positioning module (206) and the No. 1 package weight sending module (207) respectively; The No. 2 logistics node monitoring unit (3) comprises a No. 2 logistics node 5G communication module (301), and the input end of the No. 2 logistics node 5G communication module (301) is electrically connected to the output ends of the No. 2 logistics node receiving reminder module (302) and the No. 2 logistics node shipping reminder module (303) respectively; The input end of the No. 2 logistics node 5G communication module (301) is electrically connected to the output ends of the No. 2 cargo package receiving module (304), the No. 2 cargo package sending module (305), the No. 2 logistics node GPS positioning module (306) and the No. 2 package weight sending module (307) respectively; The No. 3 logistics node monitoring unit (4) comprises a No. 3 logistics node 5G communication module (401), and the input end of the No. 3 logistics node 5G communication module (401) is electrically connected to the output ends of the No. 3 logistics node receiving reminder module (402) and the No. 3 logistics node shipping reminder module (403) respectively; The input end of the No. 3 logistics node 5G communication module (401) is electrically connected to the output ends of the No. 3 cargo package receiving module (404), the No. 3 cargo package sending module (405), the No. 3 logistics node GPS positioning module (406) and the No. 3 package weight sending module (407) respectively; The No. 3 logistics node monitoring unit (4) comprises a No. 3 logistics node 5G communication module (401), and the input end of the No. 3 logistics node 5G communication module (401) is electrically connected to the output ends of the No. 3 logistics node receiving reminder module (402) and the No. 3 logistics node shipping reminder module (403) respectively; The input end of the No. 3 logistics node 5G communication module (401) is electrically connected to the output ends of the No. 3 cargo package receiving module (404), the No. 3 cargo package sending module (405), the No. 3 logistics node GPS positioning module (406) and the No. 3 package weight sending module (407).

2. A logistics management system for fixed-wing large cargo drones according to claim 1, characterized in that: The endpoint monitoring unit (5) comprises an endpoint 5G communication module (501), and an input end of the endpoint 5G communication module (501) is electrically connected to an output end of the endpoint GPS positioning module (502); The input end of the destination 5G communication module (501) is electrically connected to the output ends of the destination cargo package receiving module (503), the destination cargo package sending module (504) and the destination cargo package weight sending module (505) respectively.

3. A logistics management system for a fixed-wing large cargo drone according to claim 2, characterized in that: The logistics control unit (6) includes a central processor (601), and the output end of the central processor (601) is electrically connected to the input ends of the originating point cargo package weight sending module (602), the originating point 5G communication module (603), the analysis and planning module (604), and the call center module (605); The input end of the central processor (601) is electrically connected to the output end of the originating point GPS positioning module (606) and the monitoring and dispatching display module (607) respectively; The input end of the central processor (601) is bidirectionally connected to the central data storage module (608).

4. A logistics management system for a fixed-wing large cargo drone according to claim 3, characterized in that: The central processor (601) is wirelessly connected to the first logistics node 5G communication module (201), the second logistics node 5G communication module (301), the third logistics node 5G communication module (401) and the terminal 5G communication module (501) through the starting point 5G communication module (603), and the central processor (601) is wirelessly connected to the drone 5G communication module (108) through the starting point 5G communication module (603) to form a machine network.

5. A logistics management system for a fixed-wing large cargo drone according to claim 4, characterized in that: The onboard display module (106) is used to realize a map display of the movement trajectory of the fixed-wing large cargo drone, as well as to display the cargo loading information of the fixed-wing large cargo drone and the logistics nodes that need to be docked in the future.

6. A logistics management method for a fixed-wing large cargo drone according to any one of claims 1 to 5, characterized in that: The logistics management method for fixed-wing large cargo drone The following steps are involved: S1: The central processor (601) establishes a network with the fixed-wing large cargo drone through the originating point 5G communication module (603) and the drone 5G communication module (108), and the analysis and planning module (604) reasonably allocates and selects a suitable logistics distribution route according to the package weight, delivery address, package volume and expected delivery time of the package; S2: After the fixed-wing large cargo drone receives a logistics distribution instruction, the microprocessor (101) analyzes, processes and judges the received instruction, and then controls the cabin door control module (104) to open the cabin door. After the cabin door is opened, the cargo lifting control module (105) and the cargo handling control module (103) cooperate with each other. First, the cargo lifting control module (105) controls the hoisting device to lift the parcels on the ground to the inside of the fixed-wing large cargo drone. Then, the cargo handling control module (103) controls the manipulator to place multiple parcels on the shelf. The shelf load metering module (110) detects the weight of the parcels on the shelf. Finally, the fuel consumption metering module (107) calculates and obtains the fuel consumption of the fixed-wing large cargo drone under the current load. S3: When the fixed-wing large cargo drone carrying the package flies along the logistics route to the first logistics node, the second logistics node or the third logistics node, the wind speed monitoring module (109) detects the current wind speed and determines the impact of the wind speed on the release of the package according to the weight of the package to be released. If the release standard is met, the package is directly dropped from the high altitude. The cargo handling control module (103) controls the manipulator to mount the package to be released on the hoisting device, and the cargo lifting control module (105) drops the package to be dropped to the first logistics node, the second logistics node or the third logistics node; S4: There are packages to be transferred on the logistics route at the No. 1 logistics node, the No. 2 logistics node or the No. 3 logistics node. If it is along the forward direction of the fixed-wing large cargo drone, the No. 1 logistics node monitoring unit (2), the No. 2 logistics node monitoring unit (3) or the No. 3 logistics node monitoring unit (4) will directly send the No. 1 cargo package sending module (205), the No. 2 cargo package sending module (305) or the No. 3 cargo package sending module (405) to the terminal monitoring unit (5), and the terminal monitoring unit (5) will send the execution instruction to the drone monitoring unit (1), and the cargo lifting control module (105) will lift the package into the cabin. If it is along the return direction of the fixed-wing large cargo drone, the fuel consumption metering module (107) calculates the fuel consumption difference between the current carried package and the carried package after the return trip based on the weight of the package to be transferred.

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