System and method for serviceable fixed and mobile node convertible multi-tier drone logistics network

By constructing a multi-layered UAV logistics network system, the problems of insufficient network coordination, single service mode, limited automation and robustness, and lack of peacetime-wartime conversion capability in existing UAV logistics systems in urban logistics have been solved. It has achieved efficient service to fixed and mobile nodes and rapid wartime conversion capability, and improved the robustness and automation level of the system.

CN122134215APending Publication Date: 2026-06-02YIWU BAOCANG TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610048560.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-14
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing drone logistics systems in urban logistics suffer from insufficient network coordination, a single service model, limited automation and robustness, and a lack of peacetime-wartime conversion capabilities, making it difficult to meet daily business needs and efficient material transportation in emergency situations.

Method used

Construct a multi-layered unmanned aerial vehicle (UAV) logistics network system consisting of standardized hardware, multi-level node infrastructure, and an intelligent cloud control platform. This system includes D-level, C-level, and B-level nodes, as well as M-level mobile nodes. It possesses automated cargo handover and environmental perception capabilities and can switch between peacetime and wartime operations under the scheduling of the intelligent cloud control platform.

Benefits of technology

It enables efficient services for both fixed and mobile nodes, improves business operation efficiency, provides rapid switching capabilities during wartime, enhances system robustness and automation, and adapts to various environmental conditions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of service fixed and mobile node's convertible multi-layer unmanned aerial vehicle logistics network system and method, belong to unmanned aerial vehicle logistics and national defense mobilization technical field.The system includes: standardization's logistics unit system;Multi-level infrastructure network consisting of B level hub, C level transfer station, D level community terminal and innovative M level mobile node;With the matching D, C, B three unmanned aerial vehicle transport capacity;And intelligent cloud control platform.Platform supports daily double-track mode, and parallel service fixed community and mobile retail;More with emergency support and national defense mobilization mode, can be quickly switched to accept the strategic logistics and support network of national unified scheduling after authorization.The application realizes the unity of commercial efficiency and strategic resilience, and constructs a combined with war, military and civilian dual-use flexible three-dimensional logistics system.
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Description

Technical Field

[0001] This invention relates to the fields of unmanned aerial vehicle (UAV) logistics, automated infrastructure, mobile retail, and national defense mobilization. Specifically, it relates to a multi-level metropolitan UAV logistics network system and method that integrates fixed community nodes and mobile commercial nodes, possesses standardized, modular, and scalable characteristics, and can achieve seamless transition from daily commercial operations to national defense or emergency missions. Background Technology

[0002] The "last mile" of urban logistics, mobile instant retail, and emergency supplies delivery capabilities are crucial aspects of modern urban governance and economic development. With the development of drone technology, its application in logistics and delivery is gradually increasing. Existing drone delivery attempts mostly adopt a "point-to-point" or simple "center-last-mile" two-tier structure. While some progress has been made, the following core shortcomings remain: 1. Insufficient network coordination: The deployed infrastructure is fragmented and operates independently, failing to create a network effect covering the entire city. The system lacks multi-layered, distributed transit nodes, resulting in simplistic logistics route planning and difficulty in achieving efficient and flexible global allocation of resources such as transportation capacity and warehousing based on real-time demand or unforeseen circumstances, leading to overall low network efficiency.

[0003] 2. Limited Service Model: Existing systems are primarily designed for fixed communities, merchants, or specific pickup points, failing to effectively cover and serve a large number of mobile business units (such as mobile retail vehicles and ride-hailing vehicles). This results in low replenishment efficiency and high operating costs for mobile business units, preventing them from fully realizing their commercial potential as "mobile micro-warehouses" for serving passengers.

[0004] 3. Limited Automation and Robustness: There is a lack of unified cargo unit standards and fully automated, non-human-intervention handover protocols between different systems. Node functions are simply designed, often requiring manual assistance for loading, unloading, or maintenance, resulting in a low level of automation. Furthermore, the system has poor adaptability to severe weather (such as strong winds and rain), lacks effective environmental awareness and response mechanisms, and has weak overall resistance to interference and damage.

[0005] 4. Lack of peacetime-wartime conversion capability: Existing commercial logistics systems are designed with limited functionality, considering only routine business operations. They fail to fully account for the potential to rapidly transform into strategic infrastructure with unified national command, anti-interference, anti-destruction, and protective capabilities during wartime, major natural disasters, or public safety emergencies. This functional disconnect results in a significant waste of social resources during emergency situations.

[0006] Therefore, there is an urgent need in this field for a new type of intelligent logistics infrastructure network that can be deeply integrated into urban geospatial space and business ecosystem, can meet the needs of daily large-scale commercial delivery and mobile retail, and has inherent strategic redundancy, high elasticity and rapid peacetime-wartime conversion capability. Summary of the Invention

[0007] This invention aims to overcome the shortcomings of existing technologies and provide a convertible multi-layered unmanned aerial vehicle (UAV) logistics network system and method that serves both fixed and mobile nodes. Its core objective is to construct a "three-dimensional logistics highway network" that is deeply integrated with urban geography and business distribution, simultaneously meeting the needs of daily "fixed + mobile" dual-track commercial services and wartime / emergency high-efficiency material transportation.

[0008] To achieve the above objectives, the technical solution of the present invention is as follows: Firstly, a convertible multi-layered unmanned aerial vehicle (UAV) logistics network system serving both fixed and mobile nodes is provided. This system is a complex system consisting of standardized hardware, multi-level node infrastructure, multi-level transport equipment, and an intelligent cloud control platform.

[0009] 1. Standardized logistics unit system: A standardized basic goods cell was defined as the smallest physical unit for logistics. Its external dimensions and load-bearing design are aimed at adapting to the vast majority of daily necessities, emergency medicines, and light military supplies.

[0010] A standardized freight container is defined, consisting of multiple basic cargo cells rigidly connected in an array to form a standardized transportation module. This container is equipped with standardized mechanical gripping interfaces and electronic tags to facilitate identification, gripping, and transfer by automated equipment.

[0011] 2. Multi-level node infrastructure network: Level D nodes (community terminals / fixed terminal airports): Unmanned intelligent facilities deployed in fixed locations such as communities and office building rooftops. Their core functions include: providing protected take-off, landing, parking, and refueling sites for drones; storing and delivering goods through integrated automated cargo containers, and receiving standardized cargo containers from higher-level nodes, storing goods in corresponding slots via a built-in sorting system; and being equipped with environmental sensing and autonomous energy systems to ensure 24 / 7 operation.

[0012] Level C nodes (regional transit hubs): Deployed in regional logistics hubs, serving multiple Level D nodes and Level M nodes in the area. Their core functions include: an automated warehousing system for the storage and efficient transfer of large quantities of standardized cargo containers; a container exchange platform for fully automated hoisting and handover of standard cargo containers with Level C drones; and the ability to serve as a regional communication and dispatch relay node.

[0013] Tier B nodes (regional hub airports): Deployed in suburban areas or at the intersection of major transportation routes, serving as the core of regional logistics. Their core functions include: the ability to handle and standardize the assembly of goods from trunk lines such as highways and railways; and the presence of a core command and data center, capable of taking over regional dispatch authority in the event of network anomalies.

[0014] M-level Node (Mobile Retail Service Node): A key new node in this invention, specifically referring to a standardized service module integrated into mobile vehicles such as ride-hailing vehicles. This module includes at least: a standardized storage unit for carrying retail goods and compatible with basic goods storage units; a positioning and communication unit for real-time reporting of location, status, and demand; and a verification interface for secure and automated goods handover with delivery drones. This node serves the dual functions of a "mobile micro-warehouse" and a "dynamic receiving point."

[0015] 3. Three-tiered drone delivery system: Class D drones (last-mile delivery drones): used to pick up goods from Class D nodes and complete the final delivery to fixed community addresses or Class M nodes, characterized by small payload and short range.

[0016] Class C drones (regional transport aircraft): As the core transportation capacity of the network, they are used to transport standardized cargo containers between Class C and Class D nodes, and to replenish goods in batches to Class M nodes according to scheduling.

[0017] Class B drones (mainline transport drones): used for large-scale, long-distance freight transport between or from Class B nodes to Class C nodes.

[0018] 4. Intelligent cloud control and scheduling platform: The platform is configured to support at least three operating modes: Daily business model (dual-track collaborative model): Parallel processing of community orders sent to fixed addresses and mobile retail orders related to M-level nodes (including driver restocking requests and passenger instant orders), and scheduling corresponding drone resources to efficiently complete delivery and handover.

[0019] Emergency Support Mode: In the event of a public emergency, priority is given to ensuring the delivery of critical materials, and some M-level nodes can be instructed to be converted into ground emergency nodes.

[0020] National Defense Mobilization Mode (Fortress Mode): Switches upon receiving a national authorization order. After switching, the platform will suspend commercial services, activate the highest level of secure communication, place all network nodes and transportation resources under the unified national task scheduling, perform national defense transportation, reconnaissance, and other tasks, and support topology reconstruction and self-healing in the event of partial network damage.

[0021] 5. Safety and Pre-designed features: The system reserves physical or logical interfaces for reinforcement and anti-interference modules in the structure and communication system of key fixed nodes.

[0022] Commercial operational data and defense dispatch data are isolated. The drone platform reserves interfaces for mounting standardized mission modules.

[0023] Secondly, a method for drone logistics and mobilization based on the aforementioned system is provided. This method includes a daily dual-track operation process and a peacetime-wartime transition process.

[0024] The daily dual-track operation process involves the intelligent cloud control platform processing both fixed-address community orders and mobile retail orders in parallel. For community orders, drones are dispatched to complete delivery via a "C-level node → D-level node → user" link; for mobile retail orders, drones are dispatched to complete precise goods handover with M-level nodes at designated times and locations.

[0025] Peacetime-to-wartime transition process: After receiving and verifying the national authorization instruction, the intelligent cloud control platform executes the following steps: broadcast the instruction to the entire network to switch to the mode and interrupt commercial services; switch to the secure and anti-jamming communication mode; receive the national defense mission instruction and re-plan all resources; organize the drone formation to carry out the mission; and if the network is damaged, the surviving key nodes take over the sub-network to continue operating. Beneficial effects

[0026] Compared with the prior art, the system and method provided by the present invention have the following significant advantages: 1. Pioneering a new dual-track business paradigm of "fixed + mobile": For the first time, drone logistics networks are deeply integrated into the mobile travel ecosystem, which not only efficiently serves fixed communities, but also accurately and dynamically serves mobile business units (such as ride-hailing services), greatly expanding the business boundaries of instant retail and improving the overall efficiency of social logistics and business operations.

[0027] 2. Achieved ultimate standardization and automation: From the smallest cargo unit to large transport containers, from fixed nodes to mobile nodes interfaces, the entire chain has achieved standardized design, laying the foundation for highly automated operation and significantly reducing labor costs and error rates.

[0028] 3. Innovative Realization of "Peacetime-Wartime Integration and Dual Military-Civilian Use": This invention is not only a highly efficient commercial infrastructure, but also a built-in, strategically resilient national defense reserve force. Its distributed network, containing dynamic nodes, can be rapidly transformed into a highly survivable military logistics and support system in emergency situations.

[0029] 4. The system is extremely robust and resilient: The multi-level, distributed network structure enables the system to maintain its core service capabilities through dynamic planning and reconstruction when faced with node failures or external shocks.

[0030] 5. Stimulate diversified strategic value: It has promoted the development of related industrial chains and provided an innovative path for social transportation capacity to participate in the national emergency response system. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the overall system architecture of the present invention, showing the networking relationship between the four-level nodes (B, C, D, and M) and the intelligent cloud control platform, as well as the main directions of logistics and information flow.

[0032] Figure 2 This is a logical architecture block diagram of the three operating modes of the intelligent cloud control platform of this invention. Detailed Implementation

[0033] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention are within the scope of protection of the present invention.

[0034] See Figure 1 The convertible multi-layered drone logistics network system of this invention presents a three-dimensional, hierarchical architecture. At the city level, a Class B regional hub airport 101 is deployed, serving as the regional core. It connects to other regional hubs or Class C area transfer airports 103 within the region via Class B trunk transport drones 102. Class C airport 103 serves as the area center, connecting to multiple Class D community terminal airports 105 scattered across communities, office buildings, and other locations via Class C branch line transport drones 104. Class D airports 105 complete final delivery via Class D last-mile delivery drones 106. Specifically, Class M mobile retail service nodes 107 are introduced into the network, namely vehicles such as ride-hailing vehicles equipped with standardized mobile service modules. Both Class C drones 104 and Class D drones 106 can, according to instructions, exchange goods with Class M nodes 107 at designated locations. The "brain" of the entire network is the intelligent cloud control platform 108, which maintains real-time communication with all nodes and drones, performing unified scheduling and mode management. The arrows in the diagram indicate the main directions of cargo and information flow.

[0035] A Class D node is an integrated, unattended intelligent facility. Its main functional modules include: a drone service module, providing a take-off and landing pad, protected hangar space, and automatic battery swapping / charging equipment to ensure that drones can safely stay and quickly replenish energy; a cargo storage and sorting module, the core of which is an automated loading container, consisting of multiple independent compartments for storing goods to be delivered. This module has a delivery hatch on top to receive standardized cargo containers dropped by Class C drones and has a built-in automatic sorting system to sort the goods in the containers to the corresponding compartments; and an autonomous support module, including an energy system (such as solar and energy storage units) and an environmental monitoring system (such as wind speed and rainfall sensors) to ensure the continuous and safe operation of the node in unattended conditions.

[0036] One of the core functions of a Class C node is to enable efficient and automated cargo handover with Class C drones. The node is equipped with a container exchange platform that can precisely locate and lock a standardized cargo container. A Class C feeder drone flies to the platform, docks with the container's mechanical gripping interface via its onboard lifting mechanism, and locks it in place. After docking, the platform releases the container, and the drone can then carry it to the target Class D or Class M node distribution point. The container exchange platform is connected to an automated storage and retrieval system (AS / RS) to achieve automated storage and retrieval and buffering of empty and fully loaded containers.

[0037] This invention defines a standardized basic cargo cell as the smallest physical unit. Multiple such cells are rigidly connected to form an M×N array, creating a standardized cargo container. The container is equipped with standardized mechanical gripping interfaces (such as lifting rings, slots, and other common interface forms) to facilitate gripping and lifting by drones or automated equipment. The container is also equipped with electronic tags (such as RFID or QR codes) for storing and retrieving container identification and cargo information. The size and load-bearing capacity design of the basic cargo cell are preferably tailored to accommodate common daily necessities and lightweight emergency supplies.

[0038] M-level nodes (mobile retail service nodes) specifically refer to standardized service modules integrated into mobile vehicles such as ride-hailing vehicles. This module includes at least: standardized storage units compatible with basic goods storage units for carrying retail goods; a location communication unit for real-time reporting of location, status, and demand; and a verification interface for secure and automated goods handover with delivery drones. This node functions as both a "mobile micro-warehouse" and a "dynamic receiving point."

[0039] The following illustrates two typical mobile retail service scenarios.

[0040] Scenario 1 (Driver Replenishment): A ride-hailing vehicle equipped with an M-level node module drives to and stops at a pre-booked replenishment point (such as a charging station). A C-level feeder drone slings a dedicated replenishment container (with an interface compatible with standard containers) over the vehicle. After the drone and vehicle complete identity verification via wireless communication, the drone precisely lands the replenishment container on the standardized docking interface on the roof or side of the vehicle and locks it in place. The driver can then transfer the goods.

[0041] Scenario 2 (Passenger Instant Delivery): A passenger places an order while inside a moving ride-hailing vehicle. A Class D last-mile delivery drone takes off from the nearest Class D node, loaded with the goods. The cloud control platform dynamically plans a safe handover point for the drone based on the vehicle's real-time location and trajectory. The drone flies to a safe airspace to the side or in front of the vehicle, maintains a relatively stationary or slow-moving position relative to the vehicle through precise positioning, and safely delivers a small cargo box into the vehicle via its onboard delivery mechanism, or guides the vehicle to make a brief stop at a safe location to complete the static handover.

[0042] See Figure 2 The intelligent cloud control platform adopts a layered and modular design in its software logic. The data access layer 201 is responsible for aggregating multi-source data from user terminals, vehicles, various node sensors, and drones. The core scheduling engine 202 is the computing hub, running algorithms such as path planning and resource allocation. The mode management module 203 controls the entire system to switch between three core modes. Daily Dual-Track Mode 204: The scheduling engine simultaneously processes the community fixed order queue and the mobile retail order queue, optimizing resource allocation and maximizing business efficiency.

[0043] Emergency Support Mode 205: In this mode, the dispatch strategy prioritizes the delivery of supplies to key areas such as hospitals and shelters, and can assign simple emergency tasks to some M-level nodes.

[0044] National Defense Mobilization Mode 206: In this mode, the platform connects to a higher-level command system through a security gateway 207 to receive mission instructions. The scheduling engine performs global replanning based on military mission requirements and enables the network self-healing management module 208. When some network connections are lost, it supports the automatic takeover by surviving critical nodes (such as Class B or Class C nodes) to form an independently operable subnetwork (sub-fortress).

[0045] Based on the aforementioned system, the UAV logistics and mobilization method of the present invention is mainly achieved through intelligent cloud control platform scheduling. The following is combined with... Figure 1 and Figure 2 The two core processes are explained in detail: the daily dual-track operation process and the peacetime-wartime transition process.

[0046] 1. Daily Dual-Track Operation Process This process is triggered and executed by the intelligent cloud control platform 108 under the "Daily Business Model 204".

[0047] Community fixed delivery sub-process: 1.1. Order Receipt and Allocation: Users place orders through the terminal APP. The data access layer 201 of the intelligent cloud control platform 108 receives the orders, and the core scheduling engine 202 allocates the orders to the optimal D-level community terminal airport 105 based on the delivery address and real-time inventory.

[0048] 1.2 Intelligent replenishment: If the target D-level node 105 has insufficient inventory, the scheduling engine 202 generates a replenishment instruction and schedules a C-level feeder transport drone 104 to depart from the C-level regional transit airport 103 serving the area, and to carry a standardized cargo container carrying the required goods to the D-level node 105.

[0049] 1.3. Automated Inbound and Sorting: Class C UAV 104 arrives above Class D node 105 and delivers the container through the delivery hatch. The container enters the automated sorting area, where the sorting system removes the basic product cells from the container and stores them in the corresponding slots of the automated loading dock.

[0050] 1.4. Last-mile delivery: The scheduling engine 202 assigns the Class D last-mile delivery drone 106 residing at the Class D node 105 to pick up goods from the designated compartments of the automated loading dock, and plans the final route to deliver the goods to the fixed address specified by the user.

[0051] Mobile retail service sub-processes: 1.1. Driver Replenishment Process: Ride-hailing drivers initiate replenishment requests through the vehicle's M-level node control and communication unit and schedule handover points (such as the coordinates of charging stations).

[0052] Platform 108's scheduling engine 202 evaluates the request. If it is a batch replenishment, it schedules a Class C branch line transport drone 104 to load a dedicated replenishment container; if it is a small batch of emergency replenishment, it schedules a Class D last-mile delivery drone 106 to load the goods.

[0053] The drone arrives at the designated handover point and completes identity verification with the M-level mobile retail service node 107 via wireless communication. Subsequently, the drone uses its hoisting or grabbing mechanism to complete the physical connection and transfer of goods with the standardized docking interface on the vehicle.

[0054] 1.2. Passenger Instant Delivery Process: Passengers can place orders via in-vehicle terminals during their trip.

[0055] Platform 108 scheduling engine 202 captures vehicle location in real time (through the positioning module of M-level node 107) and calculates the optimal D-level last-mile delivery drone 106 departure node that intersects with the vehicle path.

[0056] The scheduling engine 202 directs the Class D drone 106 to take off loaded with goods and dynamically plans its rendezvous route with the moving vehicle.

[0057] Under the premise of ensuring safety, the UAV 106 flies to the safe airspace to the side of the vehicle, maintains relative stillness with the vehicle through precise positioning, and uses the airborne delivery device to safely deliver the goods into the vehicle window; or guides the vehicle to make a short stop in the nearest safe area to complete the static handover.

[0058] 2. Peacetime-to-wartime conversion process This process is triggered and executed by the intelligent cloud control platform 108 running under "National Defense Mobilization Mode 206". Its core is the rapid function conversion and transfer of scheduling authority of the system.

[0059] 2.1. Command Reception and Verification: The nationally authorized agency sends a mode conversion command to the intelligent cloud control platform 108 via an encrypted link. The command is received by the platform's security gateway 207, and its digital signature and authorization level are verified by the mode management module 203.

[0060] 2.2. Network-wide Broadcast and Initialization: Upon successful verification, the mode management module 203 immediately broadcasts an encrypted "bastion mode" activation command to all online nodes (B, C, D, and M levels) and drones across the network. Simultaneously, the platform disconnects all commercial order interfaces.

[0061] 2.3. Node and Capacity Conversion: Upon receiving the instruction, each fixed node (level B, C, and D) activates the preset protection plan, such as switching to the anti-interference communication frequency band.

[0062] Upon receiving instructions, all drones performing commercial missions should immediately proceed to the nearest safe landing site for emergency landing, or remain on standby after completing the current instructions.

[0063] The vehicle-mounted terminal of M-level node 107 receives instructions, performs identity re-identification, and can receive preliminary support instructions such as "heading to XX assembly point".

[0064] 2.4. Mission Reception and Replanning: Platform 108 connects to the national defense mission system via security gateway 207 to receive specific mission instructions such as transportation, reconnaissance, and communication relay. The core scheduling engine 202, based on the new mission priorities and global resource status, thoroughly replans all UAVs and node resources, generating new flight paths, formations, and mission sequences.

[0065] 2.5. Functional Expansion and Group Execution: Based on mission requirements, some Class C regional transport UAVs (104) or Class B trunk transport UAVs (102) fly to pre-designated loading points. Through standardized interfaces pre-installed on the fuselage, they are quickly fitted with non-physical payloads such as reconnaissance pods and emergency communication modules, transforming them into multi-functional aerial platforms. Subsequently, the UAVs depart in groups according to the new instructions to execute the mission.

[0066] 2.6. Network Self-Healing and Sub-Fortress Operation: During mission execution, the network self-healing management module 208 continuously monitors the network status. If a C-level transit airport 103 is detected to be out of contact, the module will trigger a preset protocol, and the superior B-level regional hub airport 101 or an adjacent C-level node will automatically take over the D-level nodes and drones that originally belonged to the faulty node and are still able to communicate, forming a new, independently operable and schedulable sub-fortress network to ensure that the mission is not interrupted when a local network is damaged.

[0067] This invention is not limited to the preferred embodiments described above. Anyone can derive other products in various forms under the guidance of this invention. However, regardless of any changes in shape or structure, any technical solution that is the same as or similar to this application falls within the protection scope of this invention.

Claims

1. A convertible multi-layered unmanned aerial vehicle (UAV) logistics network system serving both fixed and mobile nodes, characterized in that, include: A standardized logistics physical unit system, including basic cargo cells and standardized freight containers composed of multiple such basic cargo cells; A multi-level node infrastructure network, comprising: Multiple Class D community terminal airports are deployed in fixed locations. The Class D community terminal airports are unmanned intelligent facilities that integrate drone take-off and landing resupply, automatic cargo storage and sorting functions. At least one Class C transit airport is equipped with an automated warehousing and container exchange system for storing and exchanging the standardized cargo containers. At least one M-level mobile retail service node is a module mounted on a mobile vehicle, which includes at least a standardized storage unit for carrying goods, a positioning and communication unit, and a verification interface for handing over goods with a drone. A multi-level drone delivery system, comprising: Class D last-mile delivery drones are used to pick up goods from the Class D community terminal airport and deliver them to fixed addresses in the community or to the Class M mobile retail service nodes; Class C feeder drones are used to transport the standardized cargo containers between the Class C regional transit airport and the Class D community terminal airport, and / or to transport dedicated replenishment containers to the Class M mobile retail service nodes; The intelligent cloud control platform is configured to have at least the following features: The daily business model is used to process community orders sent to fixed addresses and mobile retail orders related to the M-level mobile retail service nodes in parallel scheduling resources. The defense mobilization mode is used to interrupt commercial services, switch communication protocols, and place the resources of the multi-level node infrastructure network and the multi-level UAV capacity system under unified task scheduling after receiving authorized instructions.

2. The system according to claim 1, characterized in that, The standardized freight container is equipped with a standardized mechanical gripping interface and electronic identification; the size and load capacity of the basic cargo unit are adapted to daily necessities and light emergency supplies.

3. The system according to claim 1, characterized in that, The Class D community terminal airport also includes an environmental perception and autonomous energy supply system to support all-weather unmanned operation.

4. The system according to claim 1, characterized in that, The standardized storage unit and verification interface of the M-level mobile retail service node are configured to allow the C-level feeder drone or the D-level last-mile delivery drone to perform automated cargo handover.

5. The system according to claim 1, characterized in that, The intelligent cloud control platform is configured as follows under the aforementioned business model: In response to a restocking request initiated by a driver of a vehicle equipped with the M-level mobile retail service node, a drone is dispatched to a designated location to complete the handover of goods with the M-level mobile retail service node. And / or, in response to an immediate order from a passenger in the vehicle, the Class D last-mile delivery drone is dispatched to the vehicle's real-time location or a safe stopping point to complete the delivery handover.

6. The system according to claim 1, characterized in that, The system also includes: A Class B regional hub airport with standardized trunk cargo handling capabilities and regional backup command capabilities; Class B trunk transport drones are used to transport goods between Class B regional hub airports or from Class B regional hub airports to Class C regional transit airports.

7. The system according to claim 1 or 6, characterized in that, The defense mobilization mode of the intelligent cloud control platform is configured to perform at least one of the following functions during switching: enable encrypted anti-jamming communication protocol; reset the priority of all resource tasks; and enable the backup command capability of the C-level regional transit airport or B-level regional hub airport to form an independently operating sub-network when the network is partially damaged.

8. The system according to claim 1 or 6, characterized in that, The airframes of the Class C feeder drones and / or Class B trunk drones are reserved with standardized mission module mounting interfaces.

9. A method for unmanned aerial vehicle (UAV) logistics and mobilization based on the system described in any one of claims 1-8, characterized in that, The process includes the following steps: Daily dual-track operation process: The intelligent cloud control platform processes community fixed address orders and mobile retail orders in parallel, and dispatches corresponding D-level last-mile delivery drones and C-level feeder transport drones to perform delivery from D-level community terminal airport to fixed address, and goods handover to M-level mobile retail service nodes at designated locations, respectively. Peacetime-to-wartime transition process: After receiving and verifying the national authorization instruction, the intelligent cloud control platform executes the following steps: (1) Broadcast the mode switching command to all nodes in the network, interrupting commercial services; (2) Switch the communication system to a secure anti-interference mode; (3) Receive defense mission instructions and accordingly replan the routes and payloads of all available UAVs; (4) Organize UAV formations and configure extended mission modules to perform assigned transportation, reconnaissance or support missions.

10. A non-transitory computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the scheduling and control functions of the intelligent cloud control platform in multiple modes in the UAV logistics and mobilization method as described in claim 9.