A business method for a fruit vending cart

Abstract

The application discloses a commercial method of a fruit vending vehicle, which integrates a modular chassis, automatic driving, intelligent fruit storage, automatic grabbing, weighing, packaging and payment systems; the vehicle adopts efficient electric drive and independent wheel motors, is equipped with a laser radar, sensors and an infrared detection device, and realizes accurate positioning and obstacle avoidance; the internal multi-layer fruit placing bin has automatic flowing, rotating and moving conversion functions, and is provided with temperature and humidity regulation, fresh-keeping water mist spraying, fruit peeling and cleaning devices to ensure fruit quality. The automatic vending window is provided with transparent protective glass and an electric opening and closing device, after transaction is completed in combination with various payment modes, the automatic pushing device sends the fruits to the window for users to take the fruits; the application realizes full-process unmanned operation, improves sales efficiency and user experience, and is suitable for various automatic vending scenes.

Description

Technical Field

[0001] This invention relates to the field of intelligent automated vending equipment, and in particular to a commercial method for an automated fruit vending vehicle. The automated fruit vending vehicle integrates multiple functions such as autonomous driving, intelligent storage, automatic weighing, intelligent packaging, payment, and delivery. The automated vending vehicle is suitable for unmanned self-service vending, remote control, and data management. It can be used for the sale of fresh fruit products and can also be extended to other automated vending product application scenarios. Background Technology

[0002] With the rapid development of modern information technology, the Internet of Things, big data, and artificial intelligence, traditional retail models are facing profound changes. In recent years, unmanned vending machines have been widely used in the retail, catering, and fresh food sectors due to their advantages such as efficiency, convenience, and 24 / 7 operation. However, existing technologies still have the following shortcomings: Insufficient automation: Existing vending machines mostly use fixed counters or simple mechanical structures, failing to achieve high automation and full-process unmanned operation, making it difficult to meet the diverse needs of storage, weighing, packaging and delivery of products; Low storage and shipping efficiency: Existing vending equipment often suffers from poor shipping efficiency in the storage, preservation and shipping of fresh products such as fruits due to its simple equipment structure and low space utilization, making it difficult to meet the demand for high-volume sales during peak periods. Inadequate intelligent management: The vending machines lack effective remote monitoring, data analysis, and automatic route planning functions, resulting in significant limitations in equipment maintenance, inventory management, and sales data statistics. User experience needs improvement: Consumers have higher requirements for fruit quality, real-time weighing, automatic packaging and multiple payment methods during the purchase process, but existing equipment still has shortcomings in automatic weighing, intelligent packaging and interactive experience. Summary of the Invention

[0003] This invention provides a commercial method for selling fruit from an automated fruit vending vehicle, including a complete set of equipment for an automated driving unmanned vehicle. The automated driving unmanned vehicle equipment includes a chassis support and body structure, a perception and safety system, a navigation and control system, a fruit placement compartment, and an automated vending and payment system. The chassis support and vehicle body structure include a chassis support, wheels, bridges, shock absorbers, and a power system. The chassis support of the autonomous vehicle is modularly designed, allowing for customization based on the size and configuration of different fruit storage compartments. The wheels are equipped with independent motor drives to ensure stable movement and flexible steering. Wear-resistant rubber tires can also be used to adapt to different terrains. The bridges and shock absorbers utilize a high-elasticity shock absorption system to effectively reduce impacts during operation, ensuring the fruit is not damaged during transport. The power system is equipped with an electric drive system using high-efficiency batteries, providing a long driving range. The battery compartment can be replaced or recharged as needed. The autonomous vehicle equipment also includes various lights, brake lights, turn signals, and oncoming lights. The perception and safety system includes a powered lidar, sensors, an infrared detection device, an auxiliary driver's cab, seats and airbags, and a prevention and control detection device. The powered lidar is used for environmental perception and path planning, accurately detecting the distance and position of surrounding objects to help the vehicle avoid obstacles and ensure safe driving. The sensors are equipped with various sensors to monitor the vehicle's status, cargo compartment environment, and changes in the external environment, providing real-time feedback to the system for adjustments. The infrared detection device is used at night or in low-visibility environments to detect temperature changes in the surrounding environment, ensuring timely detection and avoidance of obstacles. The auxiliary driver's cab is equipped with an emergency manual control system, allowing the driver to manually intervene in emergency situations during autonomous driving. The seats and airbags are equipped with seat belts, airbag systems, and other safety features for driver protection, used in manual operation. The prevention and control detection device identifies the vehicle's surrounding environment, such as pedestrians, animals, and other vehicles, ensuring the vehicle avoids collision hazards. The navigation and control system includes an obstacle avoidance system, a path rule system, a navigation system, a positioning system, and a remote control device; the obstacle avoidance system combines lidar, infrared detection devices, and sensors to monitor the vehicle's surrounding environment in real time, automatically adjust the driving route, and avoid collisions; The path rule system guides the vehicle to drive autonomously by setting routes and target locations; the onboard computer dynamically adjusts the driving path based on real-time traffic, road conditions, and obstacles; the navigation and positioning systems combine BeiDou, GPS, and ground navigation to ensure accurate vehicle positioning in urban roads, parking lots, and other environments, and the system can acquire location information in real time and calculate the optimal driving route; the remote control device provides manual control and remote operation functions, and the vehicle's driving, parking, and path adjustment can all be operated through the remote control device; The fruit storage compartment has a multi-layered structure, and the height and space of each layer can be adjusted according to the size and shape of different types of fruit. Each compartment can hold different types of fruit and is equipped with temperature and humidity control and preservation devices. The fruit storage compartment is equipped with a robotic arm for grasping fruit or an automatic fruit pushing device. The preservation device is equipped with a temperature and humidity control system, a micro fan and air circulation system, and an ozone disinfection system. It can regulate the temperature and humidity of the environment inside the fruit storage compartment, maintain ventilation of the fruit through air circulation to avoid spoilage caused by moisture accumulation, freshen the air, eliminate bacteria and odors, and ensure the health and safety of the fruit. The automated vending and payment system includes a sales window, payment methods, and a packaging system. The sales window has automatic opening and closing functions; after a user selects fruit, the window automatically opens to await pickup, and automatically closes to ensure the fruit's safety during storage. For payment methods, customers can pay via an app, QR code, or bank card. The system completes the transaction through an embedded payment module, and after payment, the fruit is delivered to the customer via an automatic push device. The packaging system automatically places the fruit into environmentally friendly plastic bags or biodegradable bags after purchase. The packaging device is equipped with automatic push and seal devices to ensure no fruit is leaked from the bags, and packaging is fast and efficient.

[0004] Furthermore, the fruit storage compartment is equipped with a robotic arm for grasping fruit, an automatic fruit pushing device, and an automatic weighing system. The robotic arm features multiple fingers and joints, an electric control mechanism, a rotation module, and automatic system control. Utilizing multi-finger grasping technology, the robotic arm can adjust its grasping method according to the size and shape of the fruit. Each robotic finger is equipped with an independent electric control mechanism, allowing for flexible adjustment of the grasping force to ensure the fruit is not damaged. The robotic arm has a rotation module that enables 360-degree rotation, providing up-down, left-right, and forward-backward movement to grasp fruit from different angles. Through precise motor control, the robotic arm can accurately locate each piece of fruit and grasp or push it out electrically. This grasping or pushing is automatically controlled by the vehicle system or remotely controlled by the user. While the robotic arm is grasping fruit, the automatic weighing system displays the fruit's weight in real time and calculates the corresponding amount based on a preset pricing algorithm, completing the purchase and billing process. The automatic fruit pushing device is used to push the selected fruit to the exit window to ensure that the fruit can be delivered smoothly. The automatic fruit pushing device is equipped with a precision transmission system, which is highly efficient and fast, and can prevent the fruit from being damaged. The fruit storage compartment also includes an automatic flow system and a rotating module. To facilitate the automatic delivery of fruit from the storage layer to the sales window, the entire fruit storage layer has modules with automatic flow and rotation functions. The rotating module is installed in each layer module and is driven by an electric rotating platform or servo motor, allowing each layer of fruit to rotate 360 ​​degrees when necessary to adjust the fruit arrangement and ensure smooth delivery. The automatic flow system, in the flowing movement module, uses multiple guide troughs and conveyor belts to achieve stable flow of fruit within each layer. The conveyor belts can be automatically started according to a preset program to adjust the arrangement of fruit within the layer, ensuring that each piece of fruit is in the optimal position when it needs to be delivered. The fruit storage area also includes a mobile conversion system, which can move in multiple directions (horizontally, vertically, left-right) to adapt to different shipping or maintenance needs. The mobile conversion system includes a mobile conversion device and a hoisting mobile scheme. Each module of the mobile conversion device can have an independent mobile device built-in, or the entire system can be connected via a continuous flow mechanism to facilitate relative conversion between layers, allowing for convenient fruit transfer. The hoisting mobile scheme uses single-layer or multi-layer hoisting in some systems, employing specialized hoisting equipment to lift fruit layers from the storage area to the sales window, enabling rapid inter-layer transfer. The mobile conversion device is equipped with guide rails, moving screws or gears, rack and pinion systems, synchronization devices, transmission power bars, and system control. The central control system issues commands based on preset programs and real-time data (such as fruit weight, position, and sales demand within each layer) to automatically control the start / stop and operating parameters of each mobile device. During movement, displacement sensors and photoelectric sensors within each module monitor position changes in real time to ensure that the movement distance and speed match preset parameters, and automatically stop upon reaching the designated position. Comprehensive workflow for fruit storage warehouse: 01. Storage and Stacking: After the fruit enters the vehicle, it is placed in the fruit placement layer according to the preset separation and stacking rules; after each layer is detected by sensors, the data is fed back to the central control system. 02. Automatic rotation and flow: When there is a sales demand or delivery order, the system activates the flow and rotation module, which rotates the layer containing the target fruit to the optimal delivery angle. At the same time, the conveyor belt starts and adjusts the fruit to the delivery channel. 03. Interlayer Movement: If fruit needs to be removed from multiple layers, the system will activate the corresponding movement conversion device according to the order instructions to move the target layer horizontally, vertically, or by hoisting it to the delivery window; through the guide rail and screw / gear drive system, the fruit layer will be smoothly moved to the designated position to ensure accurate docking of the delivery port; 04. Shipping and Sales: After arriving at the shipping window, the mechanical device pushes the fruit to the sales window. After the automatic weighing, pricing and payment process is completed, the customer picks up the fruit at the window.

[0005] Furthermore, the automatic weighing system collaborates with the price calculation system. The automatic weighing system is equipped with a weighing platform, which contains an electronic scale for accurately calculating the weight of the fruit. A support frame is designed above the weighing platform to accommodate containers of different sizes. When the robotic arm grabs the fruit and places it into a fruit basket or bag, the weighing platform displays the weight of the fruit in real time. The electronic scale can quickly and accurately weigh the fruit and transmit the data to the price calculation system for price calculation. The system automatically calculates the purchase amount based on the fruit's weighing data, type, and price settings. The system has preset prices for each type of fruit and automatically settles the bill based on the actual weight of the fruit grabbed. After the price calculation is completed, the system automatically generates a bill, and customers can pay by scanning a QR code or by scanning a QR code with the device.

[0006] Furthermore, the robotic arm is capable of precisely grasping fruit while avoiding damage, and is equipped with a camera recognition and positioning system and a positioning algorithm. The camera recognition system is responsible for capturing images of the fruit storage compartment in real time and performing image processing to identify the location, type and size of the fruit. Through the camera and image processing algorithm, the system can accurately locate each fruit and provide precise grasping instructions to the robotic arm. The positioning algorithm determines the precise location of the fruit in the storage area so that the robotic arm can accurately grasp it. It uses image processing and depth estimation techniques to obtain the fruit's two-dimensional coordinates based on the image, and simultaneously uses depth estimation to obtain the fruit's three-dimensional spatial position. Image acquisition and preprocessing: Images of the fruit storage compartment are captured in real time using a high-definition camera and preprocessed, including noise reduction, contrast enhancement, and color correction. Object recognition and fruit classification: Convolutional neural networks are used for fruit classification and location detection. Through a trained deep learning model, the system can identify fruit types such as apples, bananas, and oranges and mark the location of each fruit; the detected fruits are represented by bounding boxes. Depth estimation and 3D positioning: To determine the depth of the fruit, i.e. the distance between the fruit and the camera, stereo vision technology or LiDAR can be used to obtain depth information. Using this information, combined with the camera's intrinsic parameters such as focal length and principal point position, the three-dimensional coordinates of the fruit can be calculated. Assume the two-dimensional coordinates of the fruit in the image are The depth of the fruit is Then the three-dimensional spatial coordinates of the fruit It can be calculated using the following formula: , in, These are the pixel coordinates of the fruit in the image; These are the coordinates of the camera's principal point (i.e., the center point of the image). It is the focal length of the camera (a scaling factor in the image coordinate system). It's about the depth of information about the fruit; Through these calculations, the system is able to obtain the three-dimensional position of the fruit. This provides the robotic arm with an accurate target for grasping: Camera recognition algorithms are used to detect the location and type of fruit. To efficiently and accurately identify fruit, convolutional neural networks are often used for target detection. Input image processing involves preprocessing the images captured by the camera, such as resizing, color normalization, and data augmentation. Convolutional Neural Network (CNN) feature extraction: CNNs are used to extract features from fruit images. CNN models use convolutional layers, pooling layers, and other techniques to capture features such as the edges, shape, and texture of the fruit. Fruit classification and bounding box localization: A trained deep learning model is used to classify fruits and generate bounding boxes that identify the position and size of the fruits. Output the object position; the position of each fruit is determined by the top left corner of the bounding box. and the coordinates of the bottom right corner Confirmed; the classification label indicates the type of fruit within the bounding box; the camera recognition algorithm can achieve classification and localization using the following formula: , in, It is a prediction of fruit categories; It is a prediction of the location of fruit, usually represented as a quadruple. ; and These are the output functions of the convolutional neural network, used for classification and location regression, respectively. Once the system identifies and locates the fruit using the camera, the robotic arm can plan its grasping path based on the identified 3D coordinates: Calculate the target location based on the identified fruit location. The robotic arm calculates the distance to grasp the fruit; Path planning involves using inverse kinematics calculations to plan the path for the robotic arm from its current position to its target position. To perform the grasping action, the robotic arm reaches the target position and performs the grasping action according to the path planning instructions; Assuming the current position information of the robotic arm is The target crawling point is The gripping path planning of the robotic arm can be calculated using the following formula: , Based on these displacements, the robotic arm will perform a grasping action.

[0007] Furthermore, in the fruit storage compartment, a pushing mechanism is provided for the process of moving the fruit from the storage compartment to the weighing platform. This ensures that the fruit can be smoothly and undamagedly pushed to the weighing position for accurate weighing and packaging. The pushing mechanism includes unidirectional horizontal pushing and rotary pushing. In the unidirectional horizontal pushing mechanism, the fruit is moved horizontally from the storage layer to the weighing platform. The pushing mechanism uses an electric slide rail or roller system, allowing the fruit to move smoothly along the horizontal track until it reaches the weighing platform. In the rotary pushing mechanism, the fruit is pushed from the storage layer to the weighing position via a rotary platform. The rotary platform is equipped with a drive motor and a rotating device, which smoothly pushes the fruit to the designated position through a rotation mechanism. The pushing mechanism is controlled by an electric drive system. The control system monitors the position of the fruit in real time and adjusts the pushing force through sensor feedback to prevent the fruit from being pushed out too quickly or causing collisions. During the pushing process, the fruit will move smoothly along a preset path on the track, ensuring that it will not collide or fall during handling.

[0008] Furthermore, the packaging system in the automated vending machine can automatically bag or directly place the fruit into a fruit basket, depending on the type of fruit. The packaging bags can be plastic bags or biodegradable eco-friendly bags, and are equipped with automatic opening support devices to ensure unobstructed fruit placement. When the fruit is pushed to the automatic weighing and pickup window, if packaging is required, the system will automatically place the fruit into a pre-designated packaging bag, seal it, and deliver it directly to the pickup window. If the fruit has already been placed in a packaging bag or basket during weighing, the system will automatically deduct the weight of the packaging bag and calculate and pay based on the actual weight of the fruit. After the fruit is weighed and the price is confirmed, the customer can choose to pay by scanning a QR code or by bank transfer. The system supports multiple payment methods, including QR code payment, bank card payment, and bank account APP / mini-program payment. After payment, the system will automatically recognize the customer's payment status and notify the machine via a payment success signal. After payment, the fruit will be automatically pushed to the pickup window by the system-controlled automatic fruit pusher, allowing the customer to pick up the fruit directly from the window.

[0009] Furthermore, the fruit storage compartment is also equipped with a fruit peeling device, an air conditioning unit, a washing box, and a fresh-keeping spray system. The fruit peeling device includes a conveyor belt, a rotating blade, sensors, a fruit clamping device, a peel removal system, and a peel collection trough. The rotating blade is driven by a motor to scrape off the fruit's outer skin. The fruit clamping device uses suction or mechanical clamps to hold the fruit in place during peeling. Real-time monitoring by sensors ensures consistent peel thickness, preventing over-peeling or incomplete peeling. The peeled fruit is automatically removed by the peel removal system. The peels are fed into the fruit peel collection trough to ensure a clean operating environment; the air conditioning unit regulates the temperature inside the compartment and maintains it within a set range, while simultaneously regulating humidity to prevent the fruit from drying out; the washing box is equipped with a washing brush and a drying device, using water flow and the washing brush to wash the fruit, and then the fruit is dried by the drying device to reduce residual moisture and prevent moisture from affecting the fruit quality; the preservation spray mist system is linked to a temperature and humidity sensor, automatically starting or stopping the spray system according to changes in temperature and humidity inside the fruit storage compartment to ensure that the humidity is controlled within the range required by the fruit.

[0010] Furthermore, the fruit storage compartment is equipped with a sealed outer shell made of food-grade stainless steel or polymer materials, possessing excellent waterproof, dustproof, and pollution-proof properties. The outer shell is fixed by a door-type closure, protecting the fruit inside while facilitating external cleaning and maintenance. The outer shell includes a door and a top cover. The door can be a rear-opening door, a side-opening door, or have a sales window for retrieving fruit within the door. Different door opening methods can be customized according to actual usage scenarios to suit different retrieval needs. The top cover of the outer shell is designed to accommodate modules for an autonomous driving system, providing a fixed installation platform for installing autonomous driving sensors (such as LiDAR, cameras, etc.) on the vehicle, while maintaining the overall sealed structure of the outer shell. The top cover adopts an anti-corrosion and waterproof design to ensure stable vehicle operation in various environments. The sales window adopts a door-type structure, with transparent protective glass or plastic panels on the outside to facilitate customers' observation of the quality of the fruit inside while ensuring safety. The sales window is equipped with an automatic opening and closing mechanism, which includes an electric drive system, a sensor monitoring system, and system command control. The system command control is initiated by the central control system, which sends control commands in real time based on the sales process and payment status, causing the window to open or close according to a predetermined sequence, ensuring accurate transitions in the window's state during the sales process.

[0011] Furthermore, the vending vehicle also includes an electric power management system, a circuit integration and communication module, and an autonomous driving and remote control system; the electric power management system includes circuit branching, power safety management, and an automatic charging device to ensure efficient and safe use of energy; the circuit integration and communication module includes a circuit integration PCB board, a communication module, and a back-end server; the autonomous driving and remote control system includes an autonomous driving system and remote control and auxiliary vending. The power management system also includes power storage and direct supply, automatic charging function, transformer and voltage stabilization device, circuit integration and communication; all power management and charging control circuits are integrated on one or more PCB boards, with embedded chips, communication modules and system computing units to ensure information transmission and command coordination between modules; the entire system communicates with the back-end server in real time to monitor the vehicle's operating status and ensure that the vehicle is in the best working condition.

[0012] Furthermore, this invention provides a business method for fruit vending carts, which can be applied to unmanned vending systems and extended to other vending industries; the business model includes the following approaches: A. Orders placed via customer apps, mini-programs, or third-party platforms enable location-based delivery. Customers can place orders through apps, mini-programs, or third-party platforms (such as food delivery or retail e-commerce platforms). Upon receiving an order, the system automatically dispatches the nearest automated fruit vending vehicle for delivery. During the journey, the vending vehicle utilizes autonomous driving, route planning, and obstacle avoidance systems to precisely navigate to the designated location. Once the vehicle arrives, customers can purchase the fruit by scanning a QR code or using facial recognition payment. The vending vehicle automatically completes the transaction and provides the fruit. In addition to the fruit cost, a delivery service fee can be charged, applicable to remote delivery orders. B. Self-operated model: Operators can set fixed operating routes for automated fruit vending vehicles, such as high-traffic areas like communities, shopping malls, schools, office buildings, scenic spots, and train stations, for unmanned vending; the equipment can automatically adjust its location based on sales, and select areas with high sales potential through AI analysis to maximize profits; operators can monitor sales data in real time through the system backend and replenish inventory to improve operational efficiency. C. Unmanned vehicle rental model: This model allows third parties to rent the equipment, either individually or by area, and charges on a daily, monthly, quarterly, or annual basis. It is suitable for merchants, individual operators, and chain supermarkets to quickly launch unmanned fruit vending businesses at low cost. Equipment management is provided by the platform, including value-added services such as backend data support, equipment maintenance, and sales analysis, which enhances the attractiveness of equipment rental. D. Equipment operation outsourcing model: Investors can purchase the unmanned vending vehicle and entrust the company to operate it on their behalf, charging management service fees or sales commissions according to the agreed model; suitable for investment institutions, entrepreneurs, and supermarket channel partners to expand new retail models using unmanned vending vehicles; The company can provide one-stop management, including equipment operation and maintenance, sales analysis, replenishment support, data optimization and other services; E. Applicable to various industries for unmanned vending applications. Besides fruit vending, the unmanned vending vehicle and its business method of this invention can be applied to other industries, such as: Food service industry: Automatic vending machines selling cooked food, fast food, rice noodles, rice vermicelli, and other food items; Retail industry: vending machines selling beverages, snacks, daily necessities, etc. Healthcare industry: Automated vending machines selling medicines, first aid supplies, masks, and other medical supplies; Agricultural product sales: such as vending machines selling fresh vegetables, dairy products, seafood, etc.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. High level of automation and intelligence: By integrating multiple advanced technologies such as autonomous driving, intelligent positioning, dynamic conveying, automatic grasping, weighing and packaging, it realizes unmanned self-service vending throughout the entire process, which greatly reduces human intervention and improves equipment operating efficiency and accuracy. 2. Optimized space utilization and product preservation: The multi-layer fruit storage module and automatic flow and rotation device can make full use of the vehicle's interior space. At the same time, combined with technologies such as air conditioning, freshness spraying water mist, and sealed shell, it can effectively extend the freshness and shelf life of fruits and ensure product quality. 3. Flexible and diverse business models: This invention not only supports customers to place orders and locate delivery through multiple channels such as APP and mini-program, but also enables self-operated sales, equipment leasing and third-party operation, which has high business scalability and market adaptability and can meet the needs of different users and operators. 4. High safety and energy management: The built-in comprehensive power management system (including direct power supply, automatic charging, leakage protection, voltage stabilization device, etc.) ensures safe and stable operation of the equipment in complex environments around the clock, while reducing energy consumption and operating costs. 5. Data-driven management and remote monitoring: The system integrates PCB boards, communication modules, and back-end servers to monitor vehicle status, sales data, and inventory management in real time, enabling fault warnings and intelligent route planning. This provides data support for operation management and improves overall management level and service quality. Attached Figure Description

[0014] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1A system control structure block diagram is provided for a commercial method of using an automated fruit vending vehicle according to an embodiment of the present invention; Detailed Implementation

[0015] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0016] See Figure 1 As shown, a commercial method for an automated fruit vending vehicle includes a complete set of automated driving vehicle equipment, which includes a chassis support and body structure, a perception and safety system, a navigation and control system, a fruit placement compartment, and an automated vending and payment system. The chassis support and body structure of the autonomous driving unmanned vehicle include key components such as chassis support, wheels, bridge, shock absorption drive, and power system, to ensure the vehicle's stability, durability, and efficient operation. The chassis support features a modular design, suitable for fruit storage compartments of different sizes, allowing for flexible adjustment of dimensions and load-bearing capacity according to actual needs. Made of high-strength alloy materials, it boasts excellent durability and impact resistance, ensuring long-term stability. It supports connection to various vending machines, such as rice noodle machines and automatic milk tea vending machines, expanding its application range. The wheels are equipped with independent motor drives for precise control, improving vehicle stability and maneuverability. Wear-resistant rubber tires adapt to various complex road conditions, including urban roads, park trails, and shopping mall floors, enhancing the vehicle's adaptability. Combined with hydraulic or air shock absorption, it provides better shock absorption, reducing damage to the fruit from bumps. The bridge uses a high-elasticity shock absorption system, combined with hydraulic support or airbag shock absorption structures, minimizing damage to goods caused by bumps. A multi-point support structure optimizes weight distribution, ensuring the vehicle remains balanced in complex environments. It adopts a high-efficiency electric drive system, using replaceable or rechargeable lithium batteries for long driving range; an intelligent power management system monitors the power level in real time and supports automatic or wireless charging technology to ensure continuous operation; safety protection mechanisms include short-circuit protection, overload protection, and temperature monitoring to prevent battery overheating or malfunction; it is equipped with brake lights, turn signals, headlights, and warning lights to improve driving safety at night or in low visibility conditions; and an intelligent light sensing system that automatically adjusts brightness according to ambient light to improve energy efficiency. The aforementioned perception and safety system employs multiple sensing technologies to enhance the perception capabilities of autonomous driving and ensure the safety of goods and vehicles. It utilizes a high-precision 360° LiDAR to scan the surrounding environment in real time, sensing information such as pedestrians, obstacles, and vehicles. Data fusion and AI analysis, combined with data from other sensors, improve automatic obstacle avoidance capabilities. Environmental monitoring sensors monitor the vehicle's status, cargo warehouse temperature, humidity, etc., in real time to ensure a stable fruit storage environment. Accelerometers detect vehicle dynamics and optimize driving stability. Ultrasonic sensors detect surrounding obstacles at short distances, improving parking accuracy. Infrared detection devices are suitable for nighttime or low-visibility environments, capable of identifying heat sources and assisting vehicles in avoiding pedestrians or animals. The auxiliary driver's cab is equipped with an emergency manual control system, allowing the operator to manually intervene and control the vehicle in case of emergencies during autonomous driving mode. It features safety protection facilities, including seats and airbags, providing seat belts and airbag systems when manual driving is permitted. It also includes a detection and control device that intelligently identifies pedestrians and other vehicles to prevent collisions. The navigation and control system provides path planning, obstacle avoidance, and remote control functions for efficient autonomous driving. The obstacle avoidance system, combining lidar, infrared detection, and ultrasonic sensors, detects obstacles ahead and adjusts the driving route in real time. The intelligent prediction system, based on historical data and environmental perception, adjusts the path in advance to reduce emergency braking. The path planning system, with its onboard computer, dynamically adjusts the optimal driving path based on real-time road conditions, road information, and traffic signals. A self-learning system optimizes driving efficiency and reduces energy consumption. The high-precision navigation system integrates BeiDou, GPS, and terrestrial navigation to improve positioning accuracy; it also supports high-precision map matching to ensure accurate driving in complex environments. The remote control system allows vehicles to be operated by a remote dispatch center, enabling functions such as manual route adjustment, emergency stopping, and remote recall. Through an app or control terminal, users can remotely view vehicle status, plan routes, and adjust sales modes.

[0017] In this implementation case, the fruit storage compartment adopts a multi-layer structure, with each layer fixed by adjustable supports or slides. The height, width, and depth of each layer can be independently adjusted according to the size and shape of different fruit types. For example, larger fruits such as apples and pears can be configured with larger compartments, while smaller berries or grapes use smaller compartments to improve space utilization. The layers are separated by removable or adjustable partitions, allowing for flexible partitioning of the internal space and facilitating customized configurations based on product characteristics and storage needs. Each storage compartment can hold one or more types of fruit, employing zoned management to ensure that different varieties are not mixed. To prevent cross-contamination, each zone is designed with an independent temperature and humidity control device to ensure that different fruits are stored in the most suitable environment. The fruit storage compartment is equipped with a robotic arm or automatic pusher to accurately extract or push the target fruit from the compartment to the sales window. The robotic arm can automatically adjust the gripping force and angle according to the size, weight and shape of the fruit to ensure that the fruit is not damaged during the handling process. The automatic pusher uses a precise conveyor belt or roller system to push the fruit to the weighing or packaging area. The fruit storage compartment is equipped with preservation devices and an environmental control system, including a temperature and humidity control system that uses digital temperature and humidity sensors to monitor the environmental conditions inside the compartment in real time; it has a built-in cooling or heating module that can automatically adjust the temperature as needed; at the same time, the humidity control system (such as a humidifier or dehumidifier) ​​ensures that the humidity inside the compartment is maintained within a preset range to prevent the fruit from spoiling due to abnormal temperature and humidity; the control system automatically adjusts the temperature and humidity in each compartment according to the optimal storage parameters of different fruits to ensure that each type of fruit is in an ideal storage environment. The fruit storage compartment is equipped with miniature fans and an air circulation system. Multiple miniature fans are installed inside the fruit storage compartment to form local or overall air circulation. The air circulation system maintains a uniform temperature and humidity distribution by continuously circulating the air inside the compartment, while avoiding localized moisture accumulation and reducing the risk of spoilage caused by hot and humid conditions. The fans operate with low noise and low power consumption, and the vibration impact on the fruit is also minimized, ensuring that the fruit is not damaged during transportation. The fruit storage compartment is equipped with an ozone disinfection system and an ozone generator. The ozone disinfection program is activated automatically or periodically based on environmental data. Ozone effectively kills bacteria, viruses, and mold in the air and decomposes odors, ensuring fresh air inside the compartment and promoting healthy fruit preservation. The disinfection process is designed as a closed-loop system to ensure that the ozone concentration is appropriate and does not cause any side effects on the fruit. After disinfection, the system automatically starts air circulation to quickly reduce the ozone concentration to a safe level. The fruit storage warehouse features environmental monitoring and intelligent feedback. All data on temperature, humidity, wind speed, and ozone concentration are uploaded to the central control system in real time via integrated sensors. The system can automatically adjust the working status of each module based on the monitoring data, achieving intelligent and precise environmental control to ensure the stable quality of fruit throughout the entire process of transportation, storage, and sales.

[0018] In this implementation case, the fruit storage bin adopts a modular, multi-layered design, featuring automatic storage, sorting, weighing, pushing, and transfer functions. This ensures intelligent management of the fruit throughout the entire process from storage to sale. The entire bin structure includes a gripping and pushing system, an automatic rotation and flow system, a transfer system, and an intelligent weighing and payment system. The fruit gripping and pushing system includes a robotic arm and an automatic pushing device. The robotic arm employs multi-finger gripping technology, adaptable to different fruit sizes and shapes, ensuring stable gripping. Each finger is equipped with an independent electric drive system, allowing adjustment of gripping force to prevent the fruit from being crushed. The robotic arm is equipped with a 360° rotating module, supporting multi-directional movement in up, down, left, right, and forward / backward directions for flexible fruit grasping. It features intelligent positioning; through visual sensors or an RFID identification system, the robotic arm can accurately identify the fruit's position and automatically adjust the grasping angle. The robotic arm can be automatically controlled by the system or remotely controlled manually, and can be operated by users via an APP or backend system. The automatic pushing device uses a precision transmission system, employing rollers, push rods, or pneumatic devices to smoothly push the fruit towards the delivery window. It is equipped with anti-slip tracks and flexible buffer devices to prevent damage to the fruit due to excessive pushing force. The automatic rotation and flow system includes an electric rotating platform in the fruit compartment, with each layer of the fruit compartment equipped with an independent rotating platform. The platform can rotate 360° according to the shipping requirements to adjust the fruit arrangement direction. The electric rotating platform is also driven by a servo motor to ensure smooth rotation and accurate positioning, reduce unnecessary movement, and improve shipping efficiency. The automated flow system is equipped with guide troughs and conveyor belts. The fruit storage layer is equipped with guide chute and intelligent conveyor belt. The fruit can automatically adjust its position according to instructions. The system can adjust the fruit spacing in real time to ensure that the fruit is arranged compactly and the delivery is smooth. The mobile conversion system enables the fruit storage compartments to move between layers. The compartments are equipped with horizontal / vertical guide rails, which work in conjunction with electric screws to achieve inter-layer movement. It also features intelligent path planning; the central control system selects the optimal path based on order requirements, allowing the target layer to move quickly to the shipping window. Some compartments utilize a hoisting system with single / multi-layer hoisting capabilities, using specialized hoisting equipment to quickly transfer the fruit layer to the shipping outlet. This ensures precise inter-layer alignment during movement, preventing offset or jamming. The intelligent weighing and payment system is equipped with an automatic weighing system, including a high-precision weighing sensor and an intelligent algorithm for price calculation. After the fruit arrives at the weighing area, the system automatically measures its weight with an error controlled within ±0.1g. The system calculates the total amount based on the fruit's unit price and weight, and displays it in real time on the screen or the user's app. It supports multiple payment methods, including QR code payment (Alipay, WeChat, NFC), facial recognition payment, and deduction from member accounts. After payment is completed, the system automatically generates an order record and synchronizes it to the cloud management backend. The fruit storage warehouse is equipped with equipment management and remote monitoring, and features cloud data management, which can upload inventory and sales data in real time. Merchants can remotely view the operation status via mobile phone / computer. The system has an automatic fault detection function. If equipment malfunctions, it can trigger an alarm in the background or be repaired remotely. When the inventory of a certain fruit is lower than the preset value, the system will automatically send a replenishment reminder. Comprehensive workflow for fruit storage warehouse: 01. Storage and Stacking: After the fruit enters the vehicle, it is placed in the fruit placement layer according to the preset separation and stacking rules; after each layer is detected by sensors, the data is fed back to the central control system. 02. Automatic rotation and flow: When there is a sales demand or delivery order, the system activates the flow and rotation module, which rotates the layer containing the target fruit to the optimal delivery angle. At the same time, the conveyor belt starts and adjusts the fruit to the delivery channel. 03. Interlayer Movement: If fruit needs to be removed from multiple layers, the system will activate the corresponding movement conversion device according to the order instructions to move the target layer horizontally, vertically, or by hoisting it to the delivery window; through the guide rail and screw / gear drive system, the fruit layer will be smoothly moved to the designated position to ensure accurate docking of the delivery port; 04. Shipping and Sales: After arriving at the shipping window, the mechanical device pushes the fruit to the sales window. After the automatic weighing, pricing and payment process is completed, the customer picks up the fruit at the window.

[0019] In this implementation, the automatic weighing system collaborates with the price calculation system. The automatic weighing system is equipped with a weighing platform and an electronic scale for accurately calculating the weight of the fruit. A support frame is designed above the weighing platform to accommodate containers of different sizes. When the robotic arm grabs the fruit and places it into a fruit basket or bag, the weighing platform displays the weight of the fruit in real time. The electronic scale can quickly and accurately weigh the fruit and transmit the data to the price calculation system for price calculation. The system automatically calculates the purchase amount based on the fruit's weighing data, type, and price settings. The system has preset prices for each type of fruit and automatically settles the bill based on the actual weight of the fruit grabbed. After the price calculation is completed, the system automatically generates a bill, and customers can pay by scanning a QR code or by scanning a QR code with a device. The robotic arm can accurately grasp fruit without damaging it, and is equipped with a camera recognition and positioning system and positioning algorithm. The camera recognition system is responsible for capturing images of the fruit storage compartment in real time and performing image processing to identify the location, type and size of the fruit. Through the camera and image processing algorithm, the system can accurately locate each fruit and provide precise grasping instructions to the robotic arm. The positioning algorithm determines the precise location of the fruit in the storage area so that the robotic arm can accurately grasp it. It uses image processing and depth estimation techniques to obtain the fruit's two-dimensional coordinates based on the image, and simultaneously uses depth estimation to obtain the fruit's three-dimensional spatial position. Image acquisition and preprocessing: Images of the fruit storage compartment are captured in real time using a high-definition camera and preprocessed, including noise reduction, contrast enhancement, and color correction. Object recognition and fruit classification: Convolutional neural networks are used for fruit classification and location detection. Through a trained deep learning model, the system can identify fruit types such as apples, bananas, and oranges and mark the location of each fruit; the detected fruits are represented by bounding boxes. Depth estimation and 3D positioning: To determine the depth of the fruit, i.e. the distance between the fruit and the camera, stereo vision technology or LiDAR can be used to obtain depth information. Using this information, combined with the camera's intrinsic parameters such as focal length and principal point position, the three-dimensional coordinates of the fruit can be calculated. Assume the two-dimensional coordinates of the fruit in the image are The depth of the fruit is Then the three-dimensional spatial coordinates of the fruit It can be calculated using the following formula: , in, These are the pixel coordinates of the fruit in the image; These are the coordinates of the camera's principal point (i.e., the center point of the image). It is the focal length of the camera (a scaling factor in the image coordinate system). It's about the depth of information about the fruit; Through these calculations, the system is able to obtain the three-dimensional position of the fruit. This provides the robotic arm with an accurate target for grasping: Camera recognition algorithms are used to detect the location and type of fruit. To efficiently and accurately identify fruit, convolutional neural networks are often used for target detection. Input image processing involves preprocessing the images captured by the camera, such as resizing, color normalization, and data augmentation. Convolutional Neural Network (CNN) feature extraction: CNNs are used to extract features from fruit images. CNN models use convolutional layers, pooling layers, and other techniques to capture features such as the edges, shape, and texture of the fruit. Fruit classification and bounding box localization: A trained deep learning model is used to classify fruits and generate bounding boxes that identify the position and size of the fruits. Output the object position; the position of each fruit is determined by the top left corner of the bounding box. and the coordinates of the bottom right corner Confirmed; the category label indicates the type of fruit within the bounding box; the camera recognition algorithm can achieve classification and localization using the following formula: , in, It is a prediction of fruit categories; It is a prediction of the location of fruit, usually represented as a quadruple. ; and These are the output functions of the convolutional neural network, used for classification and location regression, respectively. Once the system identifies and locates the fruit using the camera, the robotic arm can plan its grasping path based on the identified 3D coordinates: Calculate the target location based on the identified fruit location. The robotic arm calculates the distance to grasp the fruit; Path planning involves using inverse kinematics calculations to plan the path for the robotic arm from its current position to its target position. To perform the grasping action, the robotic arm reaches the target position and performs the grasping action according to the path planning instructions; Assuming the current position information of the robotic arm is The target crawling point is The gripping path planning of the robotic arm can be calculated using the following formula: , Based on these displacements, the robotic arm will perform a grasping action.

[0020] In this implementation case, the fruit storage warehouse has a layered storage structure, and fruits can be stored according to size and type. Each storage layer is equipped with sensors to monitor the inventory status in real time; it can automatically sort, and can be equipped with an intelligent vision recognition system to automatically classify different types of fruits to the corresponding storage layer; The fruit storage compartment is equipped with a fruit pushing mechanism, which is responsible for pushing the fruit from the storage compartment to the weighing platform. Two pushing methods are used: a unidirectional horizontal pushing mechanism and a rotary pushing mechanism. The unidirectional horizontal pushing mechanism smoothly pushes the fruit to the weighing platform along a horizontal track using an electric slide rail or roller system. It features an anti-slip track design to ensure the fruit does not slip or shift during movement. The rotary pushing mechanism uses a rotating platform and drive motor to rotate and push the fruit to the weighing position. This is suitable for fruits with special shapes, reducing stacking and jamming issues and improving delivery efficiency. The fruit pushing mechanism features intelligent pushing control. Sensors monitor the fruit's position in real time and intelligently adjust the pushing force to prevent excessive pushing or collision damage. Path optimization ensures the fruit moves along a preset path, avoiding congestion and ensuring smooth pushing to the weighing platform. The automatic weighing and payment system for fruit storage warehouses uses high-precision weighing sensors to ensure that the fruit weight measurement error is within ±0.1g; if the fruit is already packaged, the system automatically deducts the weight of the packaging bag to ensure accurate billing. It also features payment status recognition; the system only pushes the fruit to the pickup window after receiving a successful payment signal, ensuring transaction security. The fruit storage compartment is equipped with an automated packaging system, offering two packaging methods depending on the type of fruit: automatic bagging and fruit basket packaging. Automatic bagging is suitable for small fruits (such as apples and oranges), and offers options for plastic bags or biodegradable eco-friendly bags. It also features an automatic opening support device to ensure the fruit doesn't get stuck when entering the bag. After packaging is complete, the system automatically seals the package to ensure hygiene. Fruit basket packaging is suitable for larger or easily damaged fruits (such as bananas, watermelons, etc.). Simply place the fruit into the reusable fruit basket to reduce the use of plastic bags, making it environmentally friendly and sustainable. The automated packaging process involves pushing the fruit to the weighing / collection window, where the system determines whether packaging is required. If packaging is needed, the system automatically unfolds the packaging bag, pushes the fruit in, seals the bag, and then pushes the fruit to the collection window for the customer to pick up.

[0021] In this implementation case, the fruit storage compartment is equipped with a fruit peeling, washing and preservation system. The fruit peeling device is equipped with a rotating blade driven by a motor to ensure uniform peeling. The fruit fixing and clamping device, such as a suction / mechanical clamp, can stably fix the fruit. The intelligent sensor monitors the peeling thickness in real time to prevent over-peeling or incomplete peeling. The peel collection trough automatically collects the peels to keep the equipment clean. Fruit cleaning methods: Rinse with running water and scrub with a soft brush to remove dust, pesticide residues, etc. from the surface of the fruit; Air drying device to remove excess moisture and prevent moisture from affecting fruit quality; Fruit peeling process: After the fruit is clamped and fixed, the rotating blade starts to peel the fruit evenly; the peeling thickness can be automatically adjusted according to the type of fruit to prevent waste of fruit pulp; the peeled fruit peel is sent to the peel collection tank through the peel removal system for automatic cleaning; The freshness-preserving water mist system features intelligent temperature and humidity control. The equipment has a built-in temperature and humidity sensor that automatically adjusts the temperature and humidity according to the needs of the fruit. If the humidity is too low, the water mist system will automatically start to maintain a suitable humidity. The air conditioning cooling system sets the temperature range (e.g., 5-15°C) to ensure that the fruit stays fresh. Comprehensive Workflow 1. Fruit storage and classification: After the fruit enters the storage warehouse, the system automatically stores it in layers according to its type and size, and records the inventory information. 2. Fruit delivery and weighing: After a customer places an order, the system selects the target fruit; the rotating or pushing mechanism is activated to move the fruit to the weighing platform; the fruit is automatically weighed, the price is calculated, and displayed on the screen or APP; 3. Packaging and Payment: If packaging is selected, the system will place the fruit into a packaging bag or fruit basket and automatically seal it; after the customer completes the payment, the system will confirm the payment is successful and push the fruit to the pickup window; 4. Peeling, washing and preservation: If you select peeling / washing, the system will perform the corresponding processing and ensure the freshness of the fruit. 5. Pick up the goods: The fruit will be pushed to the pickup window. Customers can pick it up after scanning the code / paying. 6. Equipment management and remote monitoring, cloud data management, real-time uploading of inventory and sales data, merchants can remotely view the operation status via mobile phone / computer; when the inventory is lower than the set value, the system sends a replenishment reminder to optimize supply chain management; the system has a self-checking function, and if an abnormality occurs, it can remotely alarm or intelligently repair.

[0022] In this implementation case, the sales window is controlled by an electric drive system. The central processor or vehicle system issues instructions based on the order status and payment results to automatically control the opening and closing of the window. Built-in infrared, photoelectric or pressure sensors detect the window status and whether the user has taken the goods in real time to prevent the internal freshness from being affected by delayed closing. The window automatically closes when shut to prevent dust, rain, or other external factors from entering, while ensuring that the fruit remains in a safe, temperature- and humidity-controlled environment during storage. When the window is open, it can notify the user "Please pick up your goods" via an LED display or voice prompt, enhancing the user experience. Multiple payment methods are supported; users can scan a QR code through the dedicated app or a third-party payment platform to complete online payments directly. The system's built-in payment module supports POS machine payments such as bank cards and credit cards, allowing users to complete payments simply by swiping their cards. The payment module has a built-in payment processor that receives payment signals from the APP, QR code, and bank card, and connects with the backend server to verify payment information and ensure transaction security. After successful payment, the system automatically generates order data and immediately notifies the control system via a payment success signal to prepare for the start of the subsequent shipping process. All payment data is encrypted to ensure the security and privacy of user payment information; the automatic packaging system can select automatic bagging mode according to the type of fruit and order requirements, and the packaging bag material can be environmentally friendly plastic bags or biodegradable environmentally friendly bags, which meet food safety standards; Equipped with automatic pushing and sealing devices, the packaging unit features a built-in mechanical pusher to ensure the packaging bag automatically unfolds during fruit insertion, keeping the bag opening unobstructed and preventing jamming or clamping during packaging. After the fruit is placed in the packaging bag, the automatic sealing device quickly seals it, ensuring a secure and airtight package and preventing the fruit from slipping or being affected by the external environment during transportation. The system design takes into account the demand for high-frequency sales, and the packaging process uses high-speed conveyor and automated robotic arms working together to achieve rapid packaging, ensuring that each piece of fruit is packaged and delivered to the shipping window in a short time. Comprehensive Workflow 1. Users place an order and select fruits. Users can place an order through the APP, mini-program or other terminals and select the fruits they want. After payment is completed, the sales process is triggered. After the system receives the payment success signal, it automatically starts the packaging system and the push device. 2. Packaging and weighing: If packaging is required, the automatic packaging device will place the fruit into a pre-set eco-friendly packaging bag and seal it; at the same time, the weighing system will record the weight of the fruit to ensure accurate billing. 3. The fruit is pushed to the sales window; the automatic pushing device smoothly pushes the packaged fruit to the sales window. 4. When the sales window opens, the user picks up the goods. After the sales window opens automatically, the user is prompted to pick up the goods. After the user takes the fruit, the system automatically closes the window within the predetermined time to maintain a stable internal environment.

[0023] In this implementation case, the sales window adopts an upward-opening, sliding, or folding door and window design, and the appropriate opening and closing method can be selected according to the equipment size and the usage environment; stainless steel or aluminum alloy materials are used to ensure structural strength, corrosion resistance and durability; Using transparent materials such as protective glass / plastic panels allows customers to easily observe the quality of the fruit inside, increasing their confidence in purchasing; shatterproof reinforced glass or high-strength plastic panels can be used to ensure safety; When the window is closed, a silicone sealing strip is used to prevent dust, moisture or external pollutants from entering the sales area and to ensure the freshness of the fruit. Automatic opening and closing mechanism, electric drive system, using stepper motor, DC motor or servo motor; multiple control methods including linear actuator drive, track pulley drive, and rotary hinge drive; linear actuator drive is suitable for vertical sliding or folding door design; track pulley drive is suitable for horizontal sliding windows, equipped with guide rails to ensure smooth opening and closing; rotary hinge drive is suitable for rotating windows, opening and closing through electric control of the hinge; The window status and user pickup behavior are monitored using infrared sensors, photoelectric sensors, or pressure sensors. Infrared sensors detect when a user approaches and automatically activate the window to open; photoelectric or pressure sensors detect whether the fruit inside the window has been taken away, ensuring that the window is closed only after the user has taken the fruit to prevent fruit from being left behind; if an obstacle is detected during the window closing process (such as the user's hand not being removed in time), the system automatically stops or opens in the opposite direction to avoid pinching the user. The central control system sends window opening and closing commands in real time based on the sales process and payment status. Once the user selects fruit and pays, the system confirms successful payment and triggers the sales process. The electric drive system receives the command and controls the window to open, allowing the user to collect the fruit. After the sensor detects that the fruit has been taken, a countdown timer (e.g., 5 seconds) is triggered to close the window. If the fruit is not taken, the window remains open until the user completes the collection. After the goods are picked up, the system control window closes slowly. After closing, the window enters a locked mode to prevent external factors from affecting the internal environment of the equipment. Safety and maintenance of the sales window: Transparent protective glass or plastic panels prevent external contaminants from entering the sales area; safety sensors are installed when the window is opened and closed to avoid accidental injury to users; wind and rainproof design ensures normal operation in outdoor environments; Maintenance and cleaning: The window surface is coated with an anti-fouling coating for easy cleaning; regular inspection of components such as motors, sensors, and guide rails ensures smooth opening and closing; the system has remote monitoring capabilities, allowing users to view equipment status and receive maintenance reminders via the backend. Comprehensive Workflow 1. The user places an order, selects fruit, and completes payment; 2. The system confirms the order and triggers the command to open the sales window; 3. The sales window opens, the customer picks up the goods, and the sensor monitors the status of the fruit in real time; 4. After the fruit is taken away, close the window to prevent contamination and ensure a good storage environment for the fruit; 5. The system goes into standby mode, and the equipment returns to the ready-to-sell state, ready for the next order.

[0024] In this implementation case, the outer shell of the fruit storage compartment is made of food-grade stainless steel or polymer materials (such as engineering plastics or composite materials) to ensure safety and harmlessness when in direct contact with food; the material has good waterproof, dustproof, and pollution-proof properties, which can effectively protect the internal fruit from external contamination in various environments, while also being easy to clean and maintain; the overall outer shell is designed as a fully enclosed structure to ensure a constant internal environment and prevent air, dust, and moisture from entering; the outer shell consists of a door and a top cover, ensuring that the fruit storage compartment has good sealing performance while meeting daily operational needs; 2. Door Design The door offers two opening options: a rear-opening door and a side-opening door. The rear-opening door is suitable for larger storage compartments, facilitating the retrieval of larger quantities of fruit or internal maintenance. The side-opening door is ideal for more compact installation environments, allowing for flexible adjustment of the opening angle to suit different placement scenarios. A dedicated sales window is designed into the door, enabling partial opening for retrieval while ensuring the remaining area remains sealed to prevent external contamination. Different opening methods can be customized to meet diverse retrieval needs based on actual usage scenarios. High-quality sealing strips (such as silicone sealing strips) are used between the door and the outer shell to ensure a complete seal when closed. The door employs robust hinges and locking devices to ensure stability during opening and closing, preventing accidental loosening or opening. The top cover, as the upper part of the outer shell, is designed to be completely sealed, effectively isolating rainwater, dust and direct high temperature; the top cover adopts a corrosion-resistant and waterproof design to ensure long-term stable operation under various harsh climatic conditions; The top cover has a dedicated platform for installing autonomous driving modules, which can be used to install interfaces or module brackets and to fix autonomous driving sensors (such as LiDAR, cameras, GPS antennas, etc.). This not only meets the requirements of autonomous driving systems for high-precision positioning and environmental perception, but also does not damage the overall sealed structure, ensuring the overall protection performance of the vehicle. The outer shell features a smooth surface and anti-fouling coating for easy daily cleaning; the modular design allows the door and top cover to be easily disassembled, inspected, and maintained without affecting the overall seal; the overall structure of the outer shell and each component can be customized according to the size and usage environment of different vending vehicles to meet the installation needs of different occasions.

[0025] In this implementation example, the vending vehicle also includes an electric power management system, a circuit integration and communication module, and an autonomous driving and remote control system; the electric power management system includes circuit branching, power safety management, and an automatic charging device to ensure efficient and safe use of energy; the circuit integration and communication module includes a circuit integration PCB board, a communication module, and a back-end server; the autonomous driving and remote control system includes an autonomous driving system and remote control and auxiliary vending. The power management system also includes power storage and direct supply, automatic charging function, transformer and voltage stabilization device, circuit integration and communication; all power management and charging control circuits are integrated on one or more PCB boards, with embedded chips, communication modules and system computing units to ensure information transmission and command coordination between modules; the entire system communicates with the back-end server in real time to monitor the vehicle's operating status and ensure that the vehicle is in the best working condition.

[0026] In this implementation case, the business model includes the following approaches: A. Orders placed via customer apps, mini-programs, or third-party platforms enable location-based delivery. Customers can place orders through apps, mini-programs, or third-party platforms (such as food delivery or retail e-commerce platforms). Upon receiving an order, the system automatically dispatches the nearest automated fruit vending vehicle for delivery. During the journey, the vending vehicle utilizes autonomous driving, route planning, and obstacle avoidance systems to precisely navigate to the designated location. Once the vehicle arrives, customers can purchase the fruit by scanning a QR code or using facial recognition payment. The vending vehicle automatically completes the transaction and provides the fruit. In addition to the fruit cost, a delivery service fee can be charged, applicable to remote delivery orders. B. Self-operated model: Operators can set fixed operating routes for automated fruit vending vehicles, such as high-traffic areas like communities, shopping malls, schools, office buildings, scenic spots, and train stations, for unmanned vending; the equipment can automatically adjust its location based on sales, and select areas with high sales potential through AI analysis to maximize profits; operators can monitor sales data in real time through the system backend and replenish inventory to improve operational efficiency. C. Unmanned vehicle rental model: This model allows third parties to rent the equipment, either individually or by area, and charges on a daily, monthly, quarterly, or annual basis. It is suitable for merchants, individual operators, and chain supermarkets to quickly launch unmanned fruit vending businesses at low cost. Equipment management is provided by the platform, including value-added services such as backend data support, equipment maintenance, and sales analysis, which enhances the attractiveness of equipment rental. D. Equipment operation outsourcing model: Investors can purchase the unmanned vending vehicle and entrust the company to operate it on their behalf, charging management service fees or sales commissions according to the agreed model; suitable for investment institutions, entrepreneurs, and supermarket channel partners to expand new retail models using unmanned vending vehicles; The company can provide one-stop management, including equipment operation and maintenance, sales analysis, replenishment support, data optimization and other services; E. Applicable to various industries for unmanned vending applications. Besides fruit vending, the unmanned vending vehicle and its business method of this invention can be applied to other industries, such as: Food service industry: Automatic vending machines selling cooked food, fast food, rice noodles, rice vermicelli, and other food items; Retail industry: vending machines selling beverages, snacks, daily necessities, etc. Healthcare industry: Automated vending machines selling medicines, first aid supplies, masks, and other medical supplies; Agricultural product sales: such as vending machines selling fresh vegetables, dairy products, seafood, etc.

[0027] 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.

[0028] 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.

[0029] 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 business method for an automated fruit vending vehicle, characterized in that, It includes a complete set of equipment for autonomous vehicles, which includes a chassis support and body structure, a perception and safety system, a navigation and control system, a fruit storage compartment, and an automated vending and payment system; The chassis support and vehicle body structure include a chassis support, wheels, bridges, shock absorbers, and a power system. The chassis support of the autonomous vehicle is modularly designed, allowing for customization based on the size and configuration of different fruit storage compartments. The wheels are equipped with independent motor drives to ensure stable movement and flexible steering. Wear-resistant rubber tires can also be used to adapt to different terrains. The bridges and shock absorbers utilize a high-elasticity shock absorption system to effectively reduce impacts during operation, ensuring the fruit is not damaged during transport. The power system is equipped with an electric drive system using high-efficiency batteries, providing a long driving range. The battery compartment can be replaced or recharged as needed. The autonomous vehicle equipment also includes various lights, brake lights, turn signals, and oncoming lights. The perception and safety system includes a powered lidar, sensors, an infrared detection device, an auxiliary driver's cab, seats and airbags, and a prevention and control detection device. The powered lidar is used for environmental perception and path planning, accurately detecting the distance and position of surrounding objects to help the vehicle avoid obstacles and ensure safe driving. The sensors are equipped with various sensors to monitor the vehicle's status, cargo compartment environment, and changes in the external environment, providing real-time feedback to the system for adjustments. The infrared detection device is used at night or in low-visibility environments to detect temperature changes in the surrounding environment, ensuring timely detection and avoidance of obstacles. The auxiliary driver's cab is equipped with an emergency manual control system, allowing the driver to manually intervene in emergency situations during autonomous driving. The seats and airbags are equipped with seat belts, airbag systems, and other safety features for driver protection, used in manual operation. The prevention and control detection device identifies the vehicle's surrounding environment, such as pedestrians, animals, and other vehicles, ensuring the vehicle avoids collision hazards. The navigation and control system includes an obstacle avoidance system, a path rule system, a navigation system, a positioning system, and a remote control device; the obstacle avoidance system combines lidar, infrared detection devices, and sensors to monitor the vehicle's surrounding environment in real time, automatically adjust the driving route, and avoid collisions; The path rule system guides vehicles to drive autonomously by setting routes and target locations; The onboard computer dynamically adjusts the driving path based on real-time traffic, road conditions, and obstacles. The navigation and positioning systems combine BeiDou, GPS, and ground navigation to ensure accurate vehicle positioning in urban roads, parking lots, and other environments. The system can acquire location information in real time and calculate the optimal driving route. The remote control device provides both manual and remote operation functions, allowing the vehicle to drive, park, and adjust its route via the remote control. The fruit storage compartment has a multi-layered structure, and the height and space of each layer can be adjusted according to the size and shape of different types of fruit. Each compartment can hold different types of fruit and is equipped with temperature and humidity control and preservation devices. The fruit storage compartment is equipped with a robotic arm for grasping fruit or an automatic fruit pushing device. The preservation device is equipped with a temperature and humidity control system, a micro fan and air circulation system, and an ozone disinfection system. It can regulate the temperature and humidity of the environment inside the fruit storage compartment, maintain ventilation of the fruit through air circulation to avoid spoilage caused by moisture accumulation, freshen the air, eliminate bacteria and odors, and ensure the health and safety of the fruit. The automated vending and payment system includes a sales window, payment methods, and a packaging system. The sales window has automatic opening and closing functions; after a user selects fruit, the window automatically opens to await pickup, and automatically closes to ensure the fruit's safety during storage. For payment methods, customers can pay via an app, QR code, or bank card. The system completes the transaction through an embedded payment module, and after payment, the fruit is delivered to the customer via an automatic push device. The packaging system automatically places the fruit into environmentally friendly plastic bags or biodegradable bags after purchase. The packaging device is equipped with automatic push and seal devices to ensure no fruit is leaked from the bags, and packaging is fast and efficient.

2. The commercial method for an automated fruit vending vehicle according to claim 1, characterized in that, The fruit storage compartment is equipped with a robotic arm for grabbing fruit, an automatic fruit pushing device, and an automatic weighing system; The robotic arm is equipped with multiple fingers and joints, an electric control mechanism, a rotation module, and automatic system control. It utilizes multi-finger grasping technology, allowing it to adjust its grasping method according to the size and shape of the fruit. Each robotic finger is equipped with an independent electric control mechanism, enabling flexible adjustment of the grasping force to ensure the fruit is not damaged. The rotation module allows the robotic arm to rotate 360 ​​degrees, providing up / down, left / right, and forward / backward movement for grasping fruit from different angles. Through precise motor control, the robotic arm can accurately locate each fruit and grasp or eject it electrically. This grasping or ejection is automatically controlled by the vehicle-mounted system or remotely controlled by the user. While the robotic arm is grasping fruit, the automatic weighing system displays the fruit's weight in real time and calculates the corresponding amount based on a preset pricing algorithm, completing the purchase and billing process. The automatic fruit pushing device is used to push the selected fruit to the exit window to ensure that the fruit can be delivered smoothly. The automatic fruit pushing device is equipped with a precision transmission system, which is highly efficient and fast, and can prevent the fruit from being damaged. The fruit storage compartment also includes an automatic flow system and a rotating module. To facilitate the automatic delivery of fruit from the storage layer to the sales window, the entire fruit storage layer has modules with automatic flow and rotation functions. The rotating module is installed in each layer module and is driven by an electric rotating platform or servo motor, allowing each layer of fruit to rotate 360 ​​degrees when necessary to adjust the fruit arrangement and ensure smooth delivery. The automatic flow system, in the flowing movement module, uses multiple guide troughs and conveyor belts to achieve stable flow of fruit within each layer. The conveyor belts can be automatically started according to a preset program to adjust the arrangement of fruit within the layer, ensuring that each piece of fruit is in the optimal position when it needs to be delivered. The fruit storage area also includes a mobile conversion system, which can move in multiple directions (horizontally, vertically, left-right) to adapt to different shipping or maintenance needs. The mobile conversion system includes a mobile conversion device and a hoisting mobile scheme. Each module of the mobile conversion device can have an independent mobile device built-in, or the entire system can be connected via a continuous flow mechanism to facilitate relative conversion between layers, allowing for convenient fruit transfer. The hoisting mobile scheme uses single-layer or multi-layer hoisting in some systems, employing specialized hoisting equipment to lift fruit layers from the storage area to the sales window, enabling rapid inter-layer transfer. The mobile conversion device is equipped with guide rails, moving screws or gears, rack and pinion systems, synchronization devices, transmission power bars, and system control. The central control system issues commands based on preset programs and real-time data (such as fruit weight, position, and sales demand within each layer) to automatically control the start / stop and operating parameters of each mobile device. During movement, displacement sensors and photoelectric sensors within each module monitor position changes in real time to ensure that the movement distance and speed match preset parameters, and automatically stop upon reaching the designated position. Comprehensive workflow for fruit storage warehouse:

01. Storage and Stacking: After the fruit enters the vehicle, it is placed in the fruit placement layer according to the preset separation and stacking rules; after each layer is detected by sensors, the data is fed back to the central control system.

02. Automatic rotation and flow: When there is a sales demand or delivery order, the system activates the flow and rotation module, which rotates the layer containing the target fruit to the optimal delivery angle. At the same time, the conveyor belt starts and adjusts the fruit to the delivery channel.

03. Interlayer Movement: If fruit needs to be removed from multiple layers, the system will activate the corresponding movement conversion device according to the order instructions to move the target layer horizontally, vertically, or by hoisting it to the delivery window; through the guide rail and screw / gear drive system, the fruit layer will be smoothly moved to the designated position to ensure accurate docking of the delivery port; 04. Shipping and Sales: After arriving at the shipping window, the mechanical device pushes the fruit to the sales window. After the automatic weighing, pricing and payment process is completed, the customer picks up the fruit at the window.

3. The commercial method for an automated fruit vending vehicle according to claim 2, characterized in that, The automatic weighing system works in conjunction with the price calculation system. The automatic weighing system is equipped with a weighing platform and an electronic scale for accurately calculating the weight of the fruit. A support frame is designed above the weighing platform to accommodate containers of different sizes. When the robotic arm grabs the fruit and places it into a fruit basket or bag, the weighing platform displays the fruit's weight in real time. The electronic scale can quickly and accurately weigh the fruit and transmit the data to the price calculation system for price calculation. The system automatically calculates the purchase amount based on the fruit's weight data, type, and price settings. The system has preset prices for each type of fruit and automatically settles the bill based on the actual weight of the fruit grabbed. After the price calculation is complete, the system automatically generates a bill, which customers can pay by scanning a QR code or using a device to scan a QR code.

4. The automatic fruit vending vehicle according to claim 1, characterized in that, The robotic arm can accurately grasp fruit without damaging it, and is equipped with a camera recognition and positioning system and positioning algorithm. The camera recognition system is responsible for capturing images of the fruit storage compartment in real time and performing image processing to identify the location, type and size of the fruit. Through the camera and image processing algorithm, the system can accurately locate each fruit and provide precise grasping instructions to the robotic arm. The positioning algorithm determines the precise location of the fruit in the storage area so that the robotic arm can accurately grasp it. It uses image processing and depth estimation techniques to obtain the fruit's two-dimensional coordinates based on the image, and simultaneously uses depth estimation to obtain the fruit's three-dimensional spatial position. Image acquisition and preprocessing: Images of the fruit storage compartment are captured in real time using a high-definition camera and preprocessed, including noise reduction, contrast enhancement, and color correction. Object recognition and fruit classification: Convolutional neural networks are used for fruit classification and location detection. Through a trained deep learning model, the system can identify fruit types such as apples, bananas, and oranges and mark the location of each fruit; the detected fruits are represented by bounding boxes. Depth estimation and 3D positioning: To determine the depth of the fruit, i.e. the distance between the fruit and the camera, stereo vision technology or LiDAR can be used to obtain depth information. Using this information, combined with the camera's intrinsic parameters such as focal length and principal point position, the three-dimensional coordinates of the fruit can be calculated. Assume the two-dimensional coordinates of the fruit in the image are The depth of the fruit is Then the three-dimensional spatial coordinates of the fruit It can be calculated using the following formula: ， in, These are the pixel coordinates of the fruit in the image; These are the coordinates of the camera's principal point (i.e., the center point of the image). It is the focal length of the camera (a scaling factor in the image coordinate system). It's about the depth of information about the fruit; Through these calculations, the system is able to obtain the three-dimensional position of the fruit. This provides the robotic arm with an accurate target for grasping: Camera recognition algorithms are used to detect the location and type of fruit. To efficiently and accurately identify fruit, convolutional neural networks are often used for target detection. Input image processing involves preprocessing the images captured by the camera, such as resizing, color normalization, and data augmentation. Convolutional Neural Network (CNN) feature extraction: CNNs are used to extract features from fruit images. CNN models use convolutional layers, pooling layers, and other techniques to capture features such as the edges, shape, and texture of the fruit. Fruit classification and bounding box localization: A trained deep learning model is used to classify fruits and generate bounding boxes that identify the position and size of the fruits. Output the object position; the position of each fruit is determined by the top left corner of the bounding box. and the coordinates of the bottom right corner Confirmed; the classification label indicates the type of fruit within the bounding box; the camera recognition algorithm can achieve classification and localization using the following formula: ， in, It is a prediction of fruit categories; It is a prediction of the location of fruit, usually represented as a quadruple. ; and These are the output functions of the convolutional neural network, used for classification and location regression, respectively. Once the system identifies and locates the fruit using the camera, the robotic arm can plan its grasping path based on the identified 3D coordinates: Calculate the target location based on the identified fruit location. The robotic arm calculates the distance to grasp the fruit; Path planning involves using inverse kinematics calculations to plan the path for the robotic arm from its current position to its target position. To perform the grasping action, the robotic arm reaches the target position and performs the grasping action according to the path planning instructions; Assuming the current position information of the robotic arm is The target crawling point is The gripping path planning of the robotic arm can be calculated using the following formula: ， Based on these displacements, the robotic arm will perform a grasping action.

5. The commercial method for an automated fruit vending vehicle according to claim 1, characterized in that, In the fruit storage compartment, a pushing mechanism is provided for the process of moving the fruit from the storage compartment to the weighing platform. This ensures that the fruit is smoothly and undamagedly pushed to the weighing position for accurate weighing and packaging. The pushing mechanism includes unidirectional horizontal pushing and rotary pushing. The unidirectional horizontal pushing mechanism moves the fruit from the storage layer to the weighing platform by horizontal pushing. The pushing mechanism uses an electric slide rail or roller system, allowing the fruit to move smoothly along the horizontal track until it reaches the weighing platform. The rotary pushing mechanism pushes the fruit from the storage layer to the weighing position via a rotary platform. The rotary platform is equipped with a drive motor and a rotating device, which smoothly pushes the fruit to the designated position through a rotation mechanism. The pushing mechanism is controlled by an electric drive system. The control system monitors the position of the fruit in real time and adjusts the pushing force through sensor feedback to prevent the fruit from being pushed out too quickly or causing collisions. During the pushing process, the fruit will move smoothly along a preset path on the track, ensuring that it will not collide or fall during handling.

6. The commercial method for an automated fruit vending vehicle according to claim 1, characterized in that, The packaging system in the automated vending machine can automatically bag or directly place the fruit into a fruit basket, depending on the type of fruit. The packaging bags can be plastic bags or biodegradable eco-friendly bags, and are equipped with automatic opening support devices to ensure unobstructed fruit placement. When the fruit is pushed to the automatic weighing and pickup window, if packaging is required, the system will automatically place the fruit into a pre-designated bag, seal it, and deliver it directly to the pickup window. If the fruit is already in a bag or basket during weighing, the system will automatically deduct the weight of the bag and calculate and pay based on the actual weight of the fruit. After the fruit is weighed and the price is confirmed, the customer can choose to pay by scanning a QR code or by bank transfer. The system supports multiple payment methods, including QR code payment, bank card payment, and bank account APP / mini-program payment. After payment, the system will automatically recognize the customer's payment status and notify the machine via a payment success signal. After payment, the fruit will be automatically pushed to the pickup window by the system-controlled automatic fruit pusher, and the customer can directly pick up the fruit from the window.

7. The commercial method for an automated fruit vending vehicle according to claim 1, characterized in that, The fruit storage compartment is equipped with a fruit peeling device, an air conditioning unit, a washing box, and a fresh-keeping spray system. The fruit peeling device includes a conveyor belt, a rotating blade, sensors, a fruit clamping device, a peel removal system, and a peel collection trough. The rotating blade is driven by a motor to scrape off the fruit's outer skin. The fruit clamping device uses suction or mechanical clamps to hold the fruit in place during peeling. Sensors monitor the process in real time to ensure consistent peel thickness and prevent over-peeling or incomplete peeling. The peeled fruit is automatically cleaned by the peel removal system and sent to the peel collection trough to ensure a clean operating environment. The air conditioning unit regulates the temperature inside the compartment, maintaining it within a set range, and simultaneously regulates humidity to prevent the fruit from drying out. The washing box is equipped with a washing brush and a drying device. The fruit is washed by water flow and the washing brush. After washing, the fruit is dried by the drying device to reduce residual moisture and prevent moisture from affecting the quality of the fruit. The freshness-preserving water mist system is linked to a temperature and humidity sensor. It automatically starts or stops the water mist system according to the changes in temperature and humidity in the fruit storage compartment to ensure that the humidity is controlled within the range required by the fruit.

8. The commercial method for an automated fruit vending vehicle according to claim 1, characterized in that, The fruit storage compartment has a sealed outer shell made of food-grade stainless steel or polymer materials, providing excellent waterproof, dustproof, and pollution-proof properties. The outer shell is fixed with a door, protecting the fruit inside while facilitating external cleaning and maintenance. The outer shell includes a door and a top cover. The door can be a rear-opening door, a side-opening door, or have a sales window for retrieving fruit. Different door opening methods can be customized according to actual usage scenarios to suit different retrieval needs. The top cover is designed to accommodate modules for autonomous driving systems, providing a fixed mounting platform for autonomous driving sensors (such as LiDAR, cameras, etc.) while maintaining the overall sealed structure of the outer shell. The top cover is designed to be corrosion-resistant and waterproof, ensuring stable vehicle operation in various environments. The sales window adopts a door-type structure, with transparent protective glass or plastic panels on the outside to facilitate customers' observation of the quality of the fruit inside while ensuring safety. The sales window is equipped with an automatic opening and closing mechanism, which includes an electric drive system, a sensor monitoring system, and system command control. The system command control is initiated by the central control system, which sends control commands in real time based on the sales process and payment status, causing the window to open or close according to a predetermined sequence, ensuring accurate transitions in the window's state during the sales process.

9. A commercial method for an automated fruit vending vehicle according to claim 1, characterized in that, The vending vehicle also includes an electric power management system, a circuit integration and communication module, and an autonomous driving and remote control system; the electric power management system includes circuit branching, power safety management, and an automatic charging device to ensure efficient and safe use of energy; the circuit integration and communication module includes a circuit integration PCB board, a communication module, and a back-end server; the autonomous driving and remote control system includes an autonomous driving system and remote control and auxiliary vending. The power management system also includes power storage and direct supply, automatic charging function, transformer and voltage stabilization device, circuit integration and communication; all power management and charging control circuits are integrated on one or more PCB boards, with embedded chips, communication modules and system computing units to ensure information transmission and command coordination between modules; the entire system communicates with the back-end server in real time to monitor the vehicle's operating status and ensure that the vehicle is in the best working condition.

10. A commercial method for an automated fruit vending vehicle according to claim 1, characterized in that, A business method for automated fruit vending carts, applicable to unmanned vending systems and extendable to other vending industries; the business model includes the following approaches: A. Orders placed via customer apps, mini-programs, or third-party platforms enable location-based delivery. Customers can place orders through apps, mini-programs, or third-party platforms (such as food delivery or retail e-commerce platforms). Upon receiving an order, the system automatically dispatches the nearest automated fruit vending vehicle for delivery. During the journey, the vending vehicle utilizes autonomous driving, route planning, and obstacle avoidance systems to precisely navigate to the designated location. Once the vehicle arrives, customers can purchase the fruit by scanning a QR code or using facial recognition payment. The vending vehicle automatically completes the transaction and provides the fruit. In addition to the fruit cost, a delivery service fee can be charged, applicable to remote delivery orders. B. Self-operated model: Operators can set fixed operating routes for automated fruit vending vehicles, such as high-traffic areas like communities, shopping malls, schools, office buildings, scenic spots, and train stations, for unmanned vending; the equipment can automatically adjust its location based on sales, and select areas with high sales potential through AI analysis to maximize profits; operators can monitor sales data in real time through the system backend and replenish inventory to improve operational efficiency. C. Driverless vehicle rental model, which allows third parties to rent the equipment, either individually or by area, and charge on a daily, monthly, quarterly, or annual basis; Suitable for merchants, individual operators, chain supermarkets, etc., to quickly launch unmanned fruit vending business at low cost; equipment management is provided by the platform, including value-added services such as back-end data support, equipment maintenance, and sales analysis, which increases the attractiveness of equipment leasing; D. Equipment operation outsourcing model: Investors can purchase the unmanned vending vehicle and entrust the company to operate it on their behalf, charging management service fees or sales commissions according to the agreed model; suitable for investment institutions, entrepreneurs, and supermarket channel partners to expand new retail models using unmanned vending vehicles; The company can provide one-stop management, including equipment operation and maintenance, sales analysis, replenishment support, data optimization and other services; E. Applicable to various industries for unmanned vending applications. Besides fruit vending, the unmanned vending vehicle and its business method of this invention can be applied to other industries, such as: Food service industry: Automatic vending machines selling cooked food, fast food, rice noodles, rice vermicelli, and other food items; Retail industry: vending machines selling beverages, snacks, daily necessities, etc. Healthcare industry: Automated vending machines selling medicines, first aid supplies, masks, and other medical supplies; Agricultural product sales: such as vending machines selling fresh vegetables, dairy products, seafood, etc.

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