An unmanned vehicle for delivering and collecting goods and consignments and a commercial method

Abstract

The application discloses a kind of unmanned machine vehicle goods, consign goods and equipment and commercial method of material, system includes unmanned vending vehicle and collection system, storage module, transfer module and goods transport module, unmanned vending vehicle uses multiple sensors and intelligent control algorithm, realize automatic driving, accurate positioning and dynamic path planning, guarantee safe and efficient navigation;Storage module integrates goods identification, weighing, image recognition and printing technology, automatically complete the classification, storage and sorting of goods;Transfer module utilizes automatic conveyor belt and mechanical arm, realizes efficient handling and diversion of goods in warehouse;Goods transport module realizes accurate transportation from storage area to target position by unmanned machine vehicle and obstacle avoidance system.The system integrates advanced logistics and automation technology, reduces labor cost, improves delivery efficiency, and realizes equipment leasing, sales and data services through commercial sharing mode.

Description

Technical Field

[0001] This invention relates to the field of smart logistics, particularly to a technical solution combining unmanned vending vehicles with automated warehousing systems. Specifically, this invention provides equipment and a business method for unmanned vehicles to deliver and collect goods and transport materials, integrating unmanned delivery, intelligent warehousing, automatic sorting, and distribution management functions, and is applied to the automatic collection, classification, storage, sorting, distribution, and management of goods throughout the entire process. Background Technology

[0002] With the continuous growth of modern logistics demands, traditional logistics and distribution face problems such as high labor costs, poor delivery time, and traffic congestion. Especially in last-mile delivery, traditional methods often rely on manual labor and vehicles, resulting in high costs and low efficiency. The continuous development of autonomous driving technology and intelligent warehousing technology has brought new opportunities to the logistics industry. This invention aims to integrate intelligent sorting, automated warehousing, and unmanned delivery into a single system through unmanned vending vehicles and collection systems, providing an efficient, low-cost, and environmentally friendly logistics and distribution solution. Summary of the Invention

[0003] This invention provides an unmanned vehicle (UAV) for delivering and collecting goods and transporting supplies, along with a business method. Based on an unmanned vending vehicle-based automated goods delivery system, this system achieves full automation from goods collection, classification, and storage to sorting and delivery through the collaborative work of key technologies such as the unmanned vending vehicle, automated warehousing module, transfer module, sorting module, and goods identification system. This system effectively reduces human intervention, improves delivery efficiency, reduces logistics costs, and adapts to various goods types and delivery needs, including: The unmanned vending vehicle and its collection system, warehousing module, transfer module, and cargo transportation module; The unmanned vending vehicle and collection system include an autonomous driving module, an unmanned vehicle positioning information input module, a goods consignor positioning module, a collection and delivery route module, automatic navigation, automatic planning, automatic movement, automatic identification, and automatic obstacle avoidance. The autonomous driving module is equipped with sensors and control algorithms, enabling it to perceive the environment and control the vehicle's movement based on environmental information. It is responsible for controlling the autonomous driving of the unmanned vending vehicle, including starting, stopping, speed control, and path tracking, ensuring efficient navigation in dynamic environments. The unmanned vehicle positioning information input module uses BeiDou, GPS, and other positioning technologies, combined with data from other sensors, such as LiDAR and ground base stations. The system performs positioning by calculating and uploading the current location of the unmanned vehicle in real time as it moves, and comparing it with the map using sensors for accurate location. The cargo consignee positioning module uses technologies such as Beidou, GPS, Wi-Fi, and Bluetooth to obtain the consignee's location information. When the unmanned vending vehicle approaches the consignee's designated receiving location, the system will initiate a corresponding automatic driving task to ensure that the goods are delivered to the designated location. The delivery route module uses an integrated path planning algorithm to automatically generate the optimal delivery route by combining real-time traffic information, obstacle detection, the current location of the unmanned vehicle, and the target delivery location. The route can be dynamically adjusted according to factors such as road conditions and weather. The warehousing module is responsible for storing and managing goods, ensuring the accuracy and efficiency of goods from collection and storage to warehouse sorting and transportation. It can be integrated with the unmanned vending vehicle and can be fixed or mobile, capable of receiving, storing and transporting goods. The warehousing module includes a goods placement module, a goods identification device, a weighing device, an image recognition device and a printing module. The transfer module includes an automatic conveyor belt, a robotic arm, etc., and is responsible for receiving and delivering goods. It can automatically identify goods and transport them to a designated location. The cargo transportation module is responsible for transporting goods from the warehousing area to the delivery or receiving target location. It includes unmanned vehicles, a transportation process control system, a path optimization and obstacle avoidance system, ensuring that goods can reach their destination efficiently and accurately, completing the cargo transportation task from the warehousing area to the delivery point or sorting center. According to system requirements, it automatically dispatches each unmanned vehicle to ensure that each piece of goods arrives at the target location on time. Through real-time data feedback, it monitors the entire transportation process to ensure that the transportation links are error-free. The system automatically plans the transportation route based on information such as the type of goods, destination, and warehouse layout, and directs equipment such as vehicles, conveyor belts, and robotic arms to execute the plan, which can complete long-distance and short-distance transportation tasks. Overall collaborative workflow: After entering the storage area, goods are classified and identified by identification systems (such as RFID, barcodes, image recognition, etc.). Robotic arms or conveyor belts transport the goods to the transfer area. In the transfer area, automated conveyor belts, robotic arms, and other equipment deliver the goods to suitable unmanned aerial vehicles (UAVs) or target locations. The UAVs are responsible for long-distance transportation to the final destination. During transportation, the UAVs avoid obstacles and travel to the destination along the optimal path based on real-time environmental data and path planning systems. After the goods arrive at the target location, the transportation system confirms delivery completion through sensors and feedback systems and updates the status of the goods in the storage system in real time.

[0004] Preferably, the goods placement module includes a robotic arm module, a goods sorting module, a mechanical material moving module, and a camera identification module. The goods placement module is responsible for moving goods from the receiving location to a suitable storage area, ensuring stable placement and maximizing the utilization of storage space. Goods are automatically placed to predetermined positions via robotic arms or conveyor belts, and the system selects the most suitable placement method based on the goods' size, weight, and other information. The system automatically adjusts the allocation of storage space according to the type and quantity of goods to maximize warehouse capacity. Through sensors and a control system, it intelligently identifies different types and shapes of goods and automatically selects storage locations based on their characteristics. It supports multiple storage methods such as three-dimensional storage and horizontal storage, allowing for flexible adjustment according to needs. The cargo identification device is used to automatically identify the type, number, barcode, or RFID tag of the cargo to ensure that each piece of cargo can be stored, sorted, and transported correctly; by scanning the barcode or QR code, basic information such as the type, specifications, and destination of the cargo can be quickly obtained. The weighing device is used to measure the weight of goods in real time, ensuring that the weight of each item meets the requirements and providing accurate weight data for transportation. Goods are automatically weighed by weighing sensors, and the weighing data can be recorded synchronously with goods identification information, barcodes, and RFID tags to ensure data accuracy. The image recognition device is used to monitor and analyze the appearance of goods in real time, identify their shape, specifications and other features, and provide auxiliary information for goods sorting and storage. The image recognition device is equipped with a high-definition camera to capture external images of goods in real time. Through deep learning and computer vision algorithms, it identifies the shape, color, label and other features of goods, and determines the category or state of goods. It can not only identify the type of goods, but also detect whether the goods are damaged or soiled, so as to ensure the quality of goods. The image recognition results can be fed back to the system in real time for decision-making in storage management, sorting and transportation processes. The printing module is used to print relevant labels or shipping documents, such as barcode labels, delivery notes, and waybills, to ensure the tracking and management of goods during warehousing and distribution. When goods are identified and weighed, the system automatically generates relevant barcodes, QR codes, or other information and prints them through a printer. The printing module seamlessly integrates with the goods identification system, weighing system, and other modules to ensure that each item can be accurately marked and recorded. It supports printing multiple formats such as barcodes, QR codes, and text labels to adapt to different goods tracking needs.

[0005] Preferably, the automated conveyor belt is responsible for transporting goods from one area to another, ensuring efficient flow of goods within the warehouse. Goods move between different areas via the conveyor belt, transported by rollers, belts, and other devices. Based on information such as the weight and volume of the goods, the system can automatically adjust the conveyor belt speed to ensure smooth transport. Sensors detect whether the goods have reached the target location; when the goods reach the designated location, the conveyor belt stops running. The system automatically adjusts the conveyor belt's operating speed based on the size and weight of the goods and the load on the conveyor belt to ensure smooth transport. When used in conjunction with other equipment such as robotic arms and sorting devices, it achieves efficient sorting and diversion of goods. The robotic arm is responsible for handling and transporting the goods. For tasks such as stacking and sorting, especially in scenarios requiring meticulous handling of goods during transit, robotic arms provide precise control. Equipped with vision systems or sensors, robotic arms can automatically identify the position, shape, and weight of goods. Using gripping devices such as claws and suction cups, the robotic arm automatically grasps the goods and transports them from the conveyor belt or designated location to the target location. According to system instructions, the robotic arm can automatically stack goods in designated areas or sort them for subsequent operations. Through high-precision servo motors and precise sensor control, robotic arms can perform handling tasks in confined spaces, ensuring that goods are not damaged. Combined with visual recognition and tactile sensors, robotic arms can handle goods of various shapes and sizes.

[0006] Preferably, the unmanned vehicle positioning information input module adopts Beidou, GPS or indoor positioning technology to accurately record, manage and track the current location, driving trajectory and cargo storage location of the unmanned vehicle, to ensure accurate positioning and path tracking of the unmanned vehicle during delivery and reception, and to ensure that the cargo is transported according to the planned route. The cargo consignee positioning module, based on BeiDou, GPS, or other positioning technologies, can accurately identify the location of the cargo consignee, ensuring that the unmanned vehicle can accurately deliver the goods to the destination according to the positioning information, and verify the identity after delivery, improving the security and efficiency of delivery; the consignee's identity can be verified through facial recognition, QR code scanning, digital signature, etc., ensuring accurate delivery of goods; security verification can be carried out through user APP or WeChat mini-program; when the consignee's location changes, the system can automatically adjust the delivery route of the unmanned vehicle to achieve flexible delivery; optional remote re-delivery function allows users to change the delivery address on the APP or WeChat mini-program, and the unmanned vehicle automatically adjusts the route; The delivery route module employs a path planning algorithm to automatically calculate the optimal route based on factors such as real-time traffic conditions, delivery priority, and recipient location, thereby improving delivery efficiency and reducing energy consumption. It can dynamically adjust the optimal route by combining historical delivery data, geographical environment, and road conditions. Simultaneously, it utilizes high-precision maps and real-time traffic data to avoid congested areas and improve delivery efficiency. It can also sense weather, traffic, and emergencies in real time and dynamically adjust delivery routes. Unmanned vehicles can automatically switch to backup routes based on road emergencies, construction, road closures, etc., through the onboard AI computing unit.

[0007] Preferably, the unmanned vehicle is equipped with a rotating module at the bottom, which can flexibly classify, categorize, and regionally distribute goods. It can classify and process goods according to needs, thereby improving transportation efficiency and adapting to different delivery requirements. The rotating module supports multi-regional delivery. Through geographical area division, the unmanned vehicle can allocate goods to different storage locations according to the destination city and region, and prioritize delivery according to the destination. Combining the storage location of the goods with the target area, the unmanned vehicle calculates the optimal delivery route according to the intelligent path planning system to achieve accurate delivery of goods in different regions. The rotating module comprises a built-in motor, transmission device, and rotating platform, enabling the rotation of the underlying warehouse and the classification and retrieval of goods. It can automatically adjust the storage location and prioritize goods according to demand, and automatically deliver goods according to a set order and path. The rotating module is driven by an electric drive unit to rotate the platform, which has multiple storage compartments. Each compartment is arranged according to goods classification criteria such as product type, volume, weight, and delivery area. The rotating module supports precise 360-degree rotation, and each compartment can easily and automatically connect to the delivery port for accurate goods outbound. The speed and angle of the rotating platform can be intelligently adjusted according to logistics needs, such as accelerating rotation during peak periods or decelerating during low demand. The underlying rotating module of the unmanned vehicle uses image recognition technology and tag recognition to identify and determine the type, weight, size, and other characteristics of goods, and then classify and store them in different storage units. Dynamic classification can be performed based on factors such as product type, target region, and delivery priority; for example, perishable and non-perishable goods are stored in different areas. Based on the characteristics of the goods and delivery needs, the rotating module can adjust the placement order of the storage compartments in real time to achieve goods priority management.

[0008] Preferably, the platform offers rental or sharing services for unmanned aerial vehicles (UAVs), where users book UAVs for cargo transportation. The platform automatically matches cargo types, weights, destinations, and other information, and provides the optimal transportation plan. UAVs automatically collect and deliver goods, reducing labor costs and improving logistics efficiency. It also provides a business model: the unmanned vending vehicle and collection system combine unmanned driving technology, smart logistics, automated warehousing and intelligent delivery to build an innovative business model with the advantages of high efficiency and low cost; 1. Unmanned vending vehicle rental model Long-term leasing: Providing long-term leasing services for unmanned vending vehicles, with monthly or annual rental fees, suitable for customers with large-volume needs, such as large e-commerce platforms or retailers; Short-term rental: Providing rental services by day or hour for small retailers, specific events, etc., such as the use of driverless vehicles during large shopping mall events or temporary promotions; Rental fees: Pricing is based on the rental period, the model and functions of the autonomous vehicle, and value-added services such as software support and system updates are also provided. 2. Equipment Sales Model One-time sales: Selling unmanned vending vehicles and collection system equipment directly to end customers, including unmanned vehicles, intelligent sorting systems, warehousing modules, etc. Equipment sales can be a long-term profit point and are suitable for customers with strong financial strength. Customized sales: Providing customized services for customers with specific needs, designing special equipment according to customer requirements and charging corresponding design and equipment fees; 3. Advertising revenue Advertising carrier: As a mobile advertising carrier, unmanned vending vehicles can display advertisements on the vehicle body or screens, providing advertisers with a promotion platform. Combined with the precise positioning of unmanned vehicles and target users, the advertising revenue potential is huge. Dynamic advertising: By analyzing vehicle driving trajectories and audience data, the system can deliver location-targeted advertisements, such as displaying advertisements from local businesses in specific areas; 4. Data Analysis and Services Logistics data services: By analyzing delivery data, customer behavior and other data, we provide big data analysis reports to enterprise clients to help them optimize warehousing, logistics management, inventory levels and so on. Value-added services, such as cargo tracking, delivery time prediction, and customer behavior analysis, are available for subscription or based on data analysis reports. 5. Customer Model 5.1 Pay-as-you-go Pay-per-order: Customers pay for each service based on their actual needs. This is suitable for small customers with low usage frequency, such as small businesses or delivery needs for special events. Charged by volume: Fees are charged based on the volume, weight, and quantity of the delivered goods. This method is suitable for bulk commodities and large-volume delivery scenarios, especially for industrial enterprises and supply chain management. 5.2 Membership / Subscription Model Monthly / Annual Membership Fee: Subscription services are provided for regular customers, such as shopping malls, supermarkets, and food delivery platforms, who can subscribe to the unmanned delivery service on a monthly or annual basis. Value-added service packages: offer different levels of membership services, such as high-frequency delivery, priority delivery, more data reports, etc., and provide personalized services through tiered pricing. 5.3 Cross-platform collaboration Partnerships with third-party platforms: Collaborating with e-commerce platforms, food delivery platforms, etc., to provide customized unmanned delivery services; charging service fees based on the number of deliveries or transaction volume. Logistics partners: Providing unmanned delivery modules to traditional logistics companies to help them achieve unmanned delivery. Cooperation models include technology licensing, equipment leasing, etc. 6. Integration of unmanned delivery and unmanned retail: Unmanned vehicles can be used to integrate unmanned vending vehicles with delivery services, enhancing the consumer shopping experience, especially in communities, campuses and other similar settings; 7. Integration with smart homes and smart cities: Develop a smart delivery ecosystem, combining unmanned vending vehicles with IoT technology in smart homes and smart cities to achieve full interconnection of the delivery system.

[0009] Compared with existing technologies, the advantages of this invention are as follows: the system adopts multi-sensor fusion and intelligent control algorithms to achieve high-precision positioning, automatic navigation, and dynamic path planning, significantly improving transportation safety and efficiency; the warehousing module integrates automatic identification, weighing, image recognition, and printing technologies to achieve intelligent sorting and dynamic storage of goods, reducing manual intervention and ensuring data accuracy; the transfer module utilizes automatic conveyor belts and robotic arms to achieve efficient handling, stacking, and diversion of goods; at the same time, the entire system supports a commercial sharing model, which can flexibly provide leasing, sales, and value-added services, effectively reducing operating costs and promoting the development of smart logistics and unmanned delivery technologies. Attached Figure Description

[0010] The accompanying drawings, which form part of this specification, illustrate embodiments of this application and, together with the description, serve to explain the principles of this application.

[0011] This application can be more clearly understood with reference to the accompanying drawings and the following detailed description, wherein: Figure 1 This application presents a framework diagram of the overall system control flow for an unmanned aerial vehicle (UAV) for delivering and receiving goods and transporting materials. Detailed Implementation

[0012] Various exemplary embodiments of this application will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of this application.

[0013] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0014] The following description of at least one exemplary embodiment is merely illustrative and is not intended to limit the scope of this application or its application or use.

[0015] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0016] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0017] Furthermore, the technical solutions of the various embodiments of this application can be combined with each other, but only if they are based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed by this application.

[0018] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this application are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indication will also change accordingly.

[0019] The following is combined Figure 1 This application describes an apparatus and business method for delivering and receiving goods and transporting materials using an unmanned vehicle, according to exemplary embodiments thereof. It should be noted that the following application scenarios are shown only to facilitate understanding of the spirit and principles of this application, and the embodiments of this application are not limited in any way. Rather, the embodiments of this application can be applied to any applicable scenario.

[0020] This embodiment provides an unmanned aerial vehicle (UAV) for delivering and receiving goods and transporting supplies, along with a business method, including: The unmanned vending vehicle and its collection system, warehousing module, transfer module, and cargo transportation module; The unmanned vending vehicle and collection system includes an autonomous driving module, an unmanned vehicle positioning information input module, a goods consignee positioning module, and a collection and delivery route module. The autonomous driving module employs multiple sensors and control algorithms to perceive the surrounding environment and adjust the driving strategy in real time, ensuring the vehicle travels along a predetermined route while avoiding collisions and obstacles. The unmanned vehicle positioning information input module uses satellite navigation systems such as BeiDou and GPS, combined with sensor data from LiDAR, ground base stations, and other sources, to achieve high-precision positioning. Through the fusion of multiple positioning technologies, the system can ensure the vehicle's positioning accuracy in both outdoor and indoor environments. In complex environments such as cities or warehouses, supplementary data from LiDAR and ground base stations helps the vehicle maintain high-precision positioning even in areas without GPS signals. During operation, the unmanned vehicle acquires its current location in real time and uploads it to the cloud management system. The system performs real-time calculations and compares the vehicle's current location with map information to ensure accurate dynamic positioning. Combined with high-precision maps, the unmanned vehicle positioning information input module can mark the vehicle's location on the high-precision map and automatically correct the location data according to changes in the surrounding environment to ensure the accuracy of the vehicle's path. When the positioning error exceeds the threshold, the system corrects the position information through an automatic correction algorithm to ensure that the unmanned vehicle is always in the correct position.

[0021] In this implementation case, the warehousing module is responsible for the accuracy and efficiency of the storage, management, sorting, handling and transportation of goods; the design of the warehousing module can support efficient goods management and classification, ensuring that each item can be stored, sorted and transported quickly when needed in the best way; the main components of the warehousing module include a goods placement module, a goods identification device, a weighing device, an image recognition device and a printing module; The goods placement module is primarily responsible for moving received goods to suitable storage areas, ensuring stable placement and maximizing storage space utilization. It includes several sub-modules, such as a robotic arm module, a goods sorting module, a mechanical material movement module, and a camera module. The robotic arm module uses a robotic arm or automated gripping system to retrieve goods from the receiving location and move them to the appropriate storage area. The robotic arm operates precisely based on the goods' size, weight, and shape, ensuring stable and safe placement. It can move in multiple directions and angles, adapting to goods of different sizes, and possesses precise gripping and placement capabilities. Through an integrated vision recognition system, the robotic arm can automatically identify goods and select the most suitable placement method based on their attributes. The goods sorting module automatically classifies goods upon arrival at the designated area based on type, destination address, priority, and other information, guiding them to the correct storage location or further processing. The system handles subsequent distribution and incorporates technologies such as RFID and barcode scanning to ensure accurate cargo classification, adapt to different storage needs, and support both vertical and horizontal storage. The mechanical material movement module is responsible for transporting goods within the storage area, automatically completing transport tasks via conveyor belt systems and robotic vehicles, ensuring efficient processes from receiving location to storage area and from storage area to sorting location. The camera module monitors and inspects the appearance of goods, ensuring they are free from damage or contamination, guaranteeing quality during transport. Image processing technology promptly identifies surface issues, ensuring compliance with transportation standards. Based on the type and quantity of goods, the system automatically adjusts storage space allocation and dynamically changes storage methods to maximize storage capacity. It supports multiple storage methods, including vertical and horizontal storage, automatically selecting the appropriate storage solution based on cargo volume and weight. Cargo identification devices are used to automatically identify the type, number, barcode, RFID tag, etc. of goods, ensuring that each item is correctly stored, sorted, and transported during warehousing and distribution. By scanning barcodes or QR codes on goods with laser scanners or visual recognition devices, basic information (such as type, specifications, destination, etc.) is quickly identified. RFID tags are used for cargo identification, ensuring automatic identification and real-time tracking of goods throughout the entire warehousing and transportation process. Combining computer vision and deep learning algorithms, the devices automatically identify the size, shape, and category of goods and synchronize data with the warehouse management system in real time, ensuring accurate cargo information. Weighing devices are used to measure the weight of goods in real time, ensuring that the weight of each item meets the requirements and providing accurate weight data for transportation. Goods are automatically weighed by weighing sensors, and the weighing data is recorded synchronously with the goods' identification information (such as barcodes, RFID tags, etc.) to ensure information consistency. The weighing data is automatically uploaded to the warehouse management system, which manages inventory based on information such as the weight and type of the goods to ensure accuracy during transportation. When the weight of the goods is abnormal, the system will automatically trigger an alarm to remind staff to check or reassign the goods. The printing module automatically generates relevant labels or shipping documents for each item, such as barcode labels, delivery notes, and waybills, ensuring tracking and management of goods during warehousing and distribution. Using a barcode or QR code printer, the system automatically generates corresponding labels or QR codes for each item. Each label contains information such as the type, number, destination, and weight of the goods. Once the goods are identified and weighed, the system automatically generates relevant shipping documents, ensuring accurate tracking of each item during delivery. The printing module supports multiple formats, including barcodes, QR codes, and text labels, adapting to different goods tracking needs. Seamless integration with goods identification and weighing systems ensures the accuracy of label content.

[0022] In this implementation case, the transfer module is responsible for transferring goods from receiving to delivery, including key equipment such as automatic conveyor belts, robotic arms, and sorting devices, to ensure the efficient flow of goods between different areas and to realize automated handling, sorting, stacking and other operations. Automated conveyor belts are responsible for transporting goods from one area to another, ensuring the efficient flow of goods within warehouses or unmanned vending vehicles; automated conveyor belts use rollers, belts, and other devices to transport goods from one storage area to another target location. During the operation of the conveyor belt, goods move along a predetermined path, ensuring stability and preventing damage. Based on the weight and volume of the goods and the load on the conveyor belt, the system automatically adjusts the conveyor belt speed to ensure smooth movement and prevent deviation or damage due to excessive or insufficient speed. For lightweight goods, the conveyor belt speed is appropriately increased to improve handling efficiency; for heavy goods, the speed is reduced to ensure stability and prevent overloading. The conveyor belt is equipped with sensors (such as photoelectric sensors and proximity sensors) to monitor the movement of the goods. When the goods reach the target position, the system automatically stops the conveyor belt. Combined with robotic arms, sorting devices, and other equipment, the automatic conveyor belt can quickly deliver goods to the sorting area and, through branches or intersections, divert goods to the correct locations. The system monitors the conveyor belt's status in real time and intelligently adjusts its operating speed according to the load, ensuring smooth transportation and preventing overloading. The robotic arm module is responsible for delicate operations such as handling, stacking, and sorting during cargo transfer. When precise control of cargo position, weight, and shape is required, the robotic arm provides high-precision processing. Equipped with a vision recognition system or sensors, the robotic arm can automatically identify the position, shape, weight, and other characteristics of the cargo. Using grippers, suction cups, and clamps, the robotic arm automatically grasps cargo and moves it from the conveyor belt or target location to designated storage or transport areas. Controlled by high-precision servo motors and sensors, the robotic arm achieves precise movement. The servo motors provide high torque and stability, ensuring the robotic arm can perform complex operations such as grasping, moving, and placing within confined spaces. Equipped with a high-definition camera and image processing algorithms, the robotic arm monitors the appearance of the cargo in real time, recognizing its shape, labels, and colors. Through the vision system, the robotic arm automatically determines the grasping method to ensure accurate grasping. Based on system instructions, the robotic arm automatically stacks cargo in designated areas or sorts it according to criteria such as target address and cargo type, preparing it for subsequent delivery or storage. Combined with tactile sensors, the robotic arm can adapt to different types, sizes, and shapes of goods, and can not only handle standardized items, but also handle irregular items. Workflow: 1. Goods receiving and initial handling: The automatic conveyor belt transports goods from the receiving area to the sorting area of ​​the transfer module, and then distributes them to different areas as needed; 2. Sorting and handling: The robotic arm automatically identifies goods through a vision recognition system, performs precise sorting and handling, and places the goods into designated storage locations using grippers or suction cups; 3. Sorting: The robotic arm stacks goods in designated areas according to instructions, ensuring that the goods are neat and orderly, and preparing them for subsequent transportation or delivery; 4. Path adjustment and collaborative operation: The system adjusts the working sequence of the conveyor belt and robotic arm according to the real-time situation to achieve efficient collaborative operation and ensure smooth flow of goods during the transfer process.

[0023] In this implementation case, the cargo transportation module is responsible for transporting goods from the warehousing area to designated delivery or receiving locations. It mainly integrates unmanned aerial vehicles (UAVs), a transportation process control system, and a route optimization and obstacle avoidance system to ensure efficient, accurate, and safe transportation of goods. Its main functions include transporting goods from the warehousing area to the delivery point or receiving location; planning the optimal transportation route based on real-time data, cargo type, destination, and warehouse layout; monitoring the entire transportation process to ensure efficiency and accuracy; and automatically scheduling unmanned aerial vehicles, conveyor belts, robotic arms, and other equipment to ensure smooth transportation. Unmanned vehicle (UAV) is the main transportation tool in the cargo transportation module. It can execute transportation tasks according to the path planning system and real-time dispatch instructions. UAV has functions such as automatic driving, obstacle avoidance, and load transportation, and can complete transportation tasks efficiently and accurately in complex environments. UAV is equipped with an autonomous driving system, which can drive autonomously according to the predetermined path, and process traffic information, road condition changes and obstacles in real time. UAV is designed to carry goods of different sizes and weights and supports the transportation of different types of pallets or racks. Combined with technologies such as Beidou, GPS, LiDAR, and visual recognition system, the UAV can update its location information in real time to ensure accurate positioning and automatic navigation according to the path planning. The transportation process control system is responsible for monitoring and controlling the entire cargo transportation process to ensure that the transportation tasks are completed on time and efficiently. It monitors the status of each transportation link in real time through sensors, cameras, GPS and other equipment, including the driving status of the unmanned vehicle, the location of the cargo, and the transportation progress. Based on the real-time monitoring data, the system automatically generates scheduling instructions to direct the unmanned vehicle to perform different transportation tasks. When an abnormality occurs during transportation (such as obstacles, system failures, delays, etc.), the control system will trigger an early warning and instruct the unmanned vehicle to take corresponding obstacle avoidance or handling measures. The path optimization and obstacle avoidance system uses intelligent algorithms to ensure that the transportation path of unmanned vehicles is optimal and safe. The system uses integrated path planning algorithms to plan the best transportation path based on factors such as warehouse layout, cargo destination, and traffic conditions. Dynamic route adjustment: During transportation, the system dynamically adjusts the transportation route based on real-time data (such as road conditions, weather, obstacles, etc.) to ensure the task is completed in the shortest possible time. The unmanned vehicle is equipped with LiDAR, ultrasonic sensors, and visual sensors to perceive the surrounding environment in real time. When obstacles are detected, it automatically avoids them or adjusts the route to ensure safe driving. Through the collaborative work of multiple sensors, the unmanned vehicle can avoid obstacles and optimize its route in complex environments. Workflow: 1. When a transportation task is initiated, the backend system or administrator creates a transportation task based on the order or delivery requirements, and determines information such as cargo type, destination, and priority. According to the transportation task, the system moves the goods from the storage area to the unmanned vehicle using a conveyor belt or robotic arm for loading. Based on data such as destination, warehouse layout, and cargo type, the system generates the optimal transportation route and sends it to the unmanned vehicle. 2. During the transportation process, the unmanned vehicle starts from the storage area according to the instructions of the path planning system and travels along the predetermined path. During the transportation process, the system continuously monitors the position, speed, and environmental conditions of the unmanned vehicle to ensure the stability of the transportation process. If obstacles or congested road sections are encountered during the journey, the obstacle avoidance system will be activated immediately to adjust the path and ensure that the unmanned vehicle continues to travel smoothly. 3. Delivery and Completion: After the unmanned vehicle arrives at the target location, the system will instruct the vehicle to stop and activate the delivery mode to ensure the correct delivery of goods. The unmanned vehicle will unload the goods using a robotic arm or other automated equipment. The system will adjust the unloading method according to the type of goods and requirements. After the transportation task is completed, the system will generate and upload a delivery report, recording every piece of data in the transportation process for the administrator to view.

[0024] In this implementation case, the rotating module is responsible for cargo classification and storage. It categorizes and stores goods based on factors such as type, weight, size, and destination, and allows for quick retrieval when needed. The storage cell order can be adjusted as required, dynamically adjusting the cell arrangement based on cargo type, delivery priority, and target region. It supports regional division and priority delivery, enabling multi-regional delivery and ensuring accurate delivery through geographical region division and intelligent route planning. The system supports automated outbound and delivery: the rotating platform automatically docks with the shipping port through precise 360-degree rotation, achieving accurate outbound cargo processing. The core of the rotating module is a rotating platform driven by an electric drive unit. This platform has multiple cargo storage compartments, each arranged and scheduled according to the type, volume, weight, and delivery requirements of the goods. The rotating platform can rotate 360 ​​degrees, ensuring precise docking of each storage compartment with the delivery port. Through precise control of the electric drive unit, the platform's rotation angle and speed can be intelligently adjusted according to logistics needs. The system can control the rotation speed and angle based on factors such as cargo type, quantity, and size. During peak periods, the platform accelerates rotation; during low demand, it decelerates to avoid resource waste. The rotating module can dynamically classify goods according to their different characteristics (such as product type, weight, volume, delivery area, and delivery priority), storing goods in different storage units and adjusting the order and position of the storage compartments according to real-time demand. Perishable and non-perishable goods are stored in different areas; through intelligent system scheduling, perishable goods are prioritized, ensuring that the order can be adjusted according to the shelf life requirements during delivery. Using image recognition and label recognition technologies, the system can identify the type, weight, size, and other characteristics of the goods and allocate them to the corresponding storage compartments based on this information. Based on the delivery priority of the goods, the system will automatically adjust the placement order of the storage compartments. For example, goods that need to be delivered urgently will be placed in the area near the delivery port to ensure that they can be retrieved and delivered quickly. The rotating module supports multi-region delivery and ensures accurate delivery through intelligent route planning. The system automatically allocates goods to different storage areas based on the delivery destination; for example, goods stored in one area may be from the same city, while another area may be used to store goods from other cities. This ensures that goods are stored in the correct geographical area and delivered quickly according to the target destination. When an unmanned vehicle is ready to transport goods, the intelligent route planning system will combine data such as the target area, the location of the goods, and the current traffic conditions to calculate the optimal delivery route. This route planning not only takes into account delivery time, but also dynamically adjusts according to factors such as road conditions and weather. The rotating module's automated outbound system can automatically move goods from the storage area to the outbound port according to real-time instructions, and provide delivery services for unmanned vehicles. Before delivery, the rotating platform will automatically rotate to align the storage compartments with the outbound port and transport the goods to the unmanned vehicle for delivery. The platform's 360-degree rotation and precise control ensure the efficiency and accuracy of outbound operations. Each storage compartment can be connected to the outbound port as needed to ensure that goods can enter the unmanned vehicle transportation area quickly and safely, avoiding confusion or incorrect delivery.

[0025] In this implementation case, the rental or sharing service of unmanned aerial vehicles (UAVs) allows users to book UAVs for cargo transportation through the platform. The platform automatically matches cargo based on information such as cargo type, weight, and destination, and provides the optimal transportation plan. The UAVs automatically collect and deliver goods, reducing labor costs and improving logistics efficiency. It also provides a business model: the unmanned vending vehicle and collection system combine unmanned driving technology, smart logistics, automated warehousing and intelligent delivery to build an innovative business model with the advantages of high efficiency and low cost; 1. Unmanned vending vehicle rental model Long-term leasing: Providing long-term leasing services for unmanned vending vehicles, with monthly or annual rental fees, suitable for customers with large-volume needs, such as large e-commerce platforms or retailers; Short-term rental: Providing rental services by day or hour for small retailers, specific events, etc., such as the use of driverless vehicles during large shopping mall events or temporary promotions; Rental fees: Pricing is based on the rental period, the model and functions of the autonomous vehicle, and value-added services such as software support and system updates are also provided. 2. Equipment Sales Model One-time sales: Selling unmanned vending vehicles and collection system equipment directly to end customers, including unmanned vehicles, intelligent sorting systems, warehousing modules, etc. Equipment sales can be a long-term profit point and are suitable for customers with strong financial strength. Customized sales: Providing customized services for customers with specific needs, designing special equipment according to customer requirements and charging corresponding design and equipment fees; 3. Advertising revenue Advertising carrier: As a mobile advertising carrier, unmanned vending vehicles can display advertisements on the vehicle body or screens, providing advertisers with a promotion platform. Combined with the precise positioning of unmanned vehicles and target users, the advertising revenue potential is huge. Dynamic advertising: By analyzing vehicle driving trajectories and audience data, the system can deliver location-targeted advertisements, such as displaying advertisements from local businesses in specific areas; 4. Data Analysis and Services Logistics data services: By analyzing delivery data, customer behavior and other data, we provide big data analysis reports to enterprise clients to help them optimize warehousing, logistics management, inventory levels and so on. Value-added services, such as cargo tracking, delivery time prediction, and customer behavior analysis, are available for subscription or based on data analysis reports. 5. Customer Model 5.1 Pay-as-you-go Pay-per-order: Customers pay for each service based on their actual needs. This is suitable for small customers with low usage frequency, such as small businesses or delivery needs for special events. Charged by volume: Fees are charged based on the volume, weight, and quantity of the delivered goods. This method is suitable for bulk commodities and large-volume delivery scenarios, especially for industrial enterprises and supply chain management. 5.2 Membership / Subscription Model Monthly / Annual Membership Fee: Subscription services are provided for regular customers, such as shopping malls, supermarkets, and food delivery platforms, who can subscribe to the unmanned delivery service on a monthly or annual basis. Value-added service packages: offer different levels of membership services, such as high-frequency delivery, priority delivery, more data reports, etc., and provide personalized services through tiered pricing. 5.3 Cross-platform collaboration Partnerships with third-party platforms: Collaborating with e-commerce platforms, food delivery platforms, etc., to provide customized unmanned delivery services; charging service fees based on the number of deliveries or transaction volume. Logistics partners: Providing unmanned delivery modules to traditional logistics companies to help them achieve unmanned delivery. Cooperation models include technology licensing, equipment leasing, etc. 6. Integration of unmanned delivery and unmanned retail: Unmanned vehicles can be used to integrate unmanned vending vehicles with delivery services, enhancing the consumer shopping experience, especially in communities, campuses and other similar settings; 7. Integration with smart homes and smart cities: Develop a smart delivery ecosystem, combining unmanned vending vehicles with IoT technology in smart homes and smart cities to achieve full interconnection of the delivery system.

[0026] The preferred embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the specific details of the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0027] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not describe the various possible combinations separately.

[0028] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed by the present invention.

Claims

1. A device and business method for unmanned aerial vehicle (UAV) delivery and collection of goods and transport of materials, characterized in that, include: The unmanned vending vehicle and collection system, warehousing module, transfer module, cargo transportation module, and back-end management module; The unmanned vending vehicle and collection system include an autonomous driving module, an unmanned vehicle positioning information input module, a goods consignor positioning module, a collection and delivery route module, automatic navigation, automatic planning, automatic movement, automatic identification, and automatic obstacle avoidance. The autonomous driving module is equipped with sensors and control algorithms, enabling it to perceive the environment and control the vehicle's movement based on environmental information. It is responsible for controlling the autonomous driving of the unmanned vending vehicle, including starting, stopping, speed control, and path tracking, ensuring efficient navigation in dynamic environments. The unmanned vehicle positioning information input module uses BeiDou, GPS, and other positioning technologies, combined with data from other sensors, such as LiDAR and ground base stations. The system performs positioning by calculating and uploading the current location of the unmanned vehicle in real time as it moves, and comparing it with the map using sensors for accurate location. The cargo consignee positioning module uses technologies such as Beidou, GPS, Wi-Fi, and Bluetooth to obtain the consignee's location information. When the unmanned vending vehicle approaches the consignee's designated receiving location, the system will initiate a corresponding automatic driving task to ensure that the goods are delivered to the designated location. The delivery route module uses an integrated path planning algorithm to automatically generate the optimal delivery route by combining real-time traffic information, obstacle detection, the current location of the unmanned vehicle, and the target delivery location. The route can be dynamically adjusted according to factors such as road conditions and weather. The warehousing module is responsible for storing and managing goods, ensuring the accuracy and efficiency of goods from collection and storage to warehouse sorting and transportation. It can be integrated with the unmanned vending vehicle and can be fixed or mobile, capable of receiving, storing and transporting goods. The warehousing module includes a goods placement module, a goods identification device, a weighing device, an image recognition device and a printing module. The transfer module includes an automatic conveyor belt, a robotic arm, etc., and is responsible for receiving and delivering goods. It can automatically identify goods and transport them to a designated location. The cargo transportation module is responsible for transporting goods from the warehousing area to the delivery or receiving target location. It includes unmanned vehicles, a transportation process control system, a path optimization and obstacle avoidance system, ensuring that goods can reach their destination efficiently and accurately, completing the cargo transportation task from the warehousing area to the delivery point or sorting center. According to system requirements, it automatically dispatches each unmanned vehicle to ensure that each piece of goods arrives at the target location on time. Through real-time data feedback, it monitors the entire transportation process to ensure that the transportation links are error-free. The system automatically plans the transportation route based on information such as the type of goods, destination, and warehouse layout, and directs equipment such as vehicles, conveyor belts, and robotic arms to execute the plan, which can complete long-distance and short-distance transportation tasks. Overall collaborative workflow: After entering the storage area, goods are classified and identified by identification systems (such as RFID, barcodes, image recognition, etc.). Robotic arms or conveyor belts transport the goods to the transfer area. In the transfer area, automated conveyor belts, robotic arms, and other equipment deliver the goods to suitable unmanned aerial vehicles (UAVs) or target locations. The UAVs are responsible for long-distance transportation to the final destination. During transportation, the UAVs avoid obstacles and travel to the destination along the optimal path based on real-time environmental data and path planning systems. After the goods arrive at the target location, the transportation system confirms delivery completion through sensors and feedback systems and updates the status of the goods in the storage system in real time.

2. The equipment and business method for delivering and receiving goods and transporting materials using unmanned aerial vehicles according to claim 1, characterized in that, The cargo placement module includes a robotic arm module, a cargo sorting module, a mechanical material movement module, and a camera identification module. This module is responsible for moving goods from the receiving location to a suitable storage area, ensuring stable placement and maximizing storage space utilization. Goods are automatically placed to predetermined locations via robotic arms or conveyor belts, with the system selecting the most suitable placement method based on the goods' size, weight, and other information. Storage space allocation is automatically adjusted according to the type and quantity of goods to maximize warehouse capacity. Sensors and a control system intelligently identify different types and shapes of goods and automatically select storage locations based on their characteristics. Multiple storage methods, including three-dimensional and horizontal storage, are supported and can be flexibly adjusted according to needs. The cargo identification device is used to automatically identify the type, number, barcode, or RFID tag of the cargo to ensure that each piece of cargo can be stored, sorted, and transported correctly; by scanning the barcode or QR code, basic information such as the type, specifications, and destination of the cargo can be quickly obtained. The weighing device is used to measure the weight of goods in real time, ensuring that the weight of each item meets the requirements and providing accurate weight data for transportation. Goods are automatically weighed by weighing sensors, and the weighing data can be recorded synchronously with goods identification information, barcodes, and RFID tags to ensure data accuracy. The image recognition device is used to monitor and analyze the appearance of goods in real time, identify their shape, specifications and other features, and provide auxiliary information for goods sorting and storage. The image recognition device is equipped with a high-definition camera to capture external images of goods in real time. Through deep learning and computer vision algorithms, it identifies the shape, color, label and other features of goods, and determines the category or state of goods. It can not only identify the type of goods, but also detect whether the goods are damaged or soiled, so as to ensure the quality of goods. The image recognition results can be fed back to the system in real time for decision-making in storage management, sorting and transportation processes. The printing module is used to print relevant labels or shipping documents, such as barcode labels, delivery notes, and waybills, to ensure the tracking and management of goods during warehousing and distribution. When goods are identified and weighed, the system automatically generates relevant barcodes, QR codes, or other information and prints them through a printer. The printing module seamlessly integrates with the goods identification system, weighing system, and other modules to ensure that each item can be accurately marked and recorded. It supports printing multiple formats such as barcodes, QR codes, and text labels to adapt to different goods tracking needs.

3. The equipment and business method for delivering and receiving goods and transporting materials using unmanned aerial vehicles according to claim 1, characterized in that, The automated conveyor belt is responsible for transporting goods from one area to another, ensuring efficient flow of goods within the warehouse. Goods move between different areas via the conveyor belt, using rollers, belts, and other devices. Based on information such as the weight and volume of the goods, the system automatically adjusts the conveyor belt speed to ensure smooth transport. Sensors detect whether the goods have reached their target location; when the goods reach the designated location, the conveyor belt stops. The system automatically adjusts the conveyor belt's speed based on the size and weight of the goods and the conveyor belt's load to ensure smooth transport. When used in conjunction with other equipment such as robotic arms and sorting devices, it achieves efficient sorting and distribution of goods. The robotic arms are responsible for handling and stacking goods. For tasks such as sorting, especially in scenarios requiring meticulous handling of goods during transit, robotic arms provide precise control. Equipped with vision systems or sensors, robotic arms can automatically identify the position, shape, and weight of goods. Using gripping devices such as claws and suction cups, robotic arms automatically grasp goods and transport them from conveyor belts or designated locations to target locations. According to system instructions, robotic arms can automatically stack goods in designated areas or sort goods for subsequent operations. Through high-precision servo motors and precise sensor control, robotic arms can perform handling tasks in confined spaces, ensuring that goods are not damaged. Combining visual recognition and tactile sensors, robotic arms can handle goods of various shapes and sizes.

4. The equipment and business method for delivering and receiving goods and transporting materials using unmanned aerial vehicles according to claim 1, characterized in that, The unmanned vehicle positioning information input module uses Beidou, GPS or indoor positioning technology to accurately record, manage and track the current location, driving trajectory and cargo storage location of the unmanned vehicle, to ensure accurate positioning and path tracking of the unmanned vehicle during delivery and reception, and to ensure that the cargo is transported according to the planned route. The cargo consignee positioning module, based on BeiDou, GPS, or other positioning technologies, can accurately identify the location of the cargo consignee, ensuring that the unmanned vehicle can accurately deliver the goods to the destination according to the positioning information, and verify the identity after delivery, improving the security and efficiency of delivery; the consignee's identity can be verified through facial recognition, QR code scanning, digital signature, etc., ensuring accurate delivery of goods; security verification can be carried out through user APP or WeChat mini-program; when the consignee's location changes, the system can automatically adjust the delivery route of the unmanned vehicle to achieve flexible delivery; optional remote re-delivery function allows users to change the delivery address on the APP or WeChat mini-program, and the unmanned vehicle automatically adjusts the route; The delivery route module employs a path planning algorithm to automatically calculate the optimal route based on factors such as real-time traffic conditions, delivery priority, and recipient location, thereby improving delivery efficiency and reducing energy consumption. It can dynamically adjust the optimal route by combining historical delivery data, geographical environment, and road conditions. Simultaneously, it utilizes high-precision maps and real-time traffic data to avoid congested areas and improve delivery efficiency. It can also sense weather, traffic, and emergencies in real time and dynamically adjust delivery routes. Unmanned vehicles can automatically switch to backup routes based on road emergencies, construction, road closures, etc., through the onboard AI computing unit.

5. The equipment and business method for delivering and receiving goods and transporting materials using unmanned aerial vehicles according to claim 1, characterized in that, The unmanned vehicle is equipped with a rotating module at its bottom, which can flexibly classify, categorize, and regionally distribute goods. It can classify and process goods according to needs, thereby improving transportation efficiency and adapting to different delivery requirements. The rotating module supports multi-regional delivery. Through geographical area division, the unmanned vehicle can allocate goods to different storage locations according to the destination city and region, and prioritize delivery according to the destination. Combining the storage location of the goods with the target area, the unmanned vehicle calculates the optimal delivery route based on the intelligent path planning system to achieve precise delivery of goods in different regions. The rotating module comprises a built-in motor, transmission device, and rotating platform, enabling the rotation of the underlying warehouse and the classification and retrieval of goods. It can automatically adjust the storage location and prioritize goods according to demand, and automatically deliver goods according to a set order and path. The rotating module is driven by an electric drive unit to rotate the platform, which has multiple storage compartments. Each compartment is arranged according to goods classification criteria such as product type, volume, weight, and delivery area. The rotating module supports precise 360-degree rotation, and each compartment can easily and automatically connect to the delivery port for accurate goods outbound. The speed and angle of the rotating platform can be intelligently adjusted according to logistics needs, such as accelerating rotation during peak periods or decelerating during low demand. The underlying rotating module of the unmanned vehicle uses image recognition technology and tag recognition to identify and determine the type, weight, size, and other characteristics of goods, and then classify and store them in different storage units. Dynamic classification can be performed based on factors such as product type, target region, and delivery priority; for example, perishable and non-perishable goods are stored in different areas. Based on the characteristics of the goods and delivery needs, the rotating module can adjust the placement order of the storage compartments in real time to achieve goods priority management.

6. The equipment and business method for delivering and receiving goods and transporting materials using unmanned aerial vehicles according to claim 1, characterized in that, Unmanned aerial vehicle (UAV) rental or sharing services allow users to book UAVs for cargo transportation through the platform. The platform automatically matches cargo types, weights, destinations, and other information, and provides the optimal transportation plan. UAVs automatically collect and deliver goods, reducing labor costs and improving logistics efficiency. It also provides a business model: the unmanned vending vehicle and collection system combine unmanned driving technology, smart logistics, automated warehousing and intelligent delivery to build an innovative business model with the advantages of high efficiency and low cost; 1. Unmanned vending vehicle rental model Long-term leasing: Providing long-term leasing services for unmanned vending vehicles, with monthly or annual rental fees, suitable for customers with large-volume needs, such as large e-commerce platforms or retailers; Short-term rental: Providing rental services by day or hour for small retailers, specific events, etc., such as the use of driverless vehicles during large shopping mall events or temporary promotions; Rental fees: Pricing is based on the rental period, the model and functions of the autonomous vehicle, and value-added services such as software support and system updates are also provided.

2. Equipment Sales Model One-time sales: Selling unmanned vending vehicles and collection system equipment directly to end customers, including unmanned vehicles, intelligent sorting systems, warehousing modules, etc. Equipment sales can be a long-term profit point and are suitable for customers with strong financial strength. Customized sales: Providing customized services for customers with specific needs, designing special equipment according to customer requirements and charging corresponding design and equipment fees; 3. Advertising revenue Advertising carrier: As a mobile advertising carrier, unmanned vending vehicles can display advertisements on the vehicle body or screens, providing advertisers with a promotion platform. Combined with the precise positioning of unmanned vehicles and target users, the advertising revenue potential is huge. Dynamic advertising: By analyzing vehicle driving trajectories and audience data, the system can deliver location-targeted advertisements, such as displaying advertisements from local businesses in specific areas; 4. Data Analysis and Services Logistics data services: By analyzing delivery data, customer behavior and other data, we provide big data analysis reports to enterprise clients to help them optimize warehousing, logistics management, inventory levels and so on. Value-added services, such as cargo tracking, delivery time prediction, and customer behavior analysis, are available for subscription or based on data analysis reports.

5. Customer Model 5.1 Pay-as-you-go Pay-per-order: Customers pay for each service based on their actual needs. This is suitable for small customers with low usage frequency, such as small businesses or delivery needs for special events. Charged by volume: Fees are charged based on the volume, weight, and quantity of the delivered goods. This method is suitable for bulk commodities and large-volume delivery scenarios, especially for industrial enterprises and supply chain management. 5.2 Membership / Subscription Model Monthly / Annual Membership Fee: Subscription services are provided for regular customers, such as shopping malls, supermarkets, and food delivery platforms, who can subscribe to the unmanned delivery service on a monthly or annual basis. Value-added service packages: offer different levels of membership services, such as high-frequency delivery, priority delivery, more data reports, etc., and provide personalized services through tiered pricing. 5.3 Cross-platform collaboration Partnerships with third-party platforms: Collaborating with e-commerce platforms, food delivery platforms, etc., to provide customized unmanned delivery services; charging service fees based on the number of deliveries or transaction volume. Logistics partners: Providing unmanned delivery modules to traditional logistics companies to help them achieve unmanned delivery. Cooperation models include technology licensing, equipment leasing, etc.

6. Integration of unmanned delivery and unmanned retail: Unmanned vehicles can be used to integrate unmanned vending vehicles with delivery services, enhancing the consumer shopping experience, especially in communities, campuses and other similar settings; 7. Integration with smart homes and smart cities: Develop a smart delivery ecosystem, combining unmanned vending vehicles with IoT technology in smart homes and smart cities to achieve full interconnection of the delivery system.

Images