Connection type logistics distribution robot based on intelligent classification and scheduling and distribution method

By introducing shuttle-type logistics delivery robots and an intelligent management system, the problems of low efficiency and lack of flexibility in traditional hospital logistics delivery systems have been solved. Intelligent classification and scheduling of materials have been achieved, improving delivery efficiency and user experience, optimizing energy use, and reducing operating costs.

CN121882848APending Publication Date: 2026-04-17SHENZHEN EPS TECH CO LTD +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN EPS TECH CO LTD
Filing Date
2025-12-26
Publication Date
2026-04-17

AI Technical Summary

Technical Problem

Traditional hospital logistics and distribution systems are inefficient, lack responsiveness, suffer from regional management deficiencies, energy inefficiencies, and poor user experience. They are also unable to achieve intelligent management and route optimization, and cannot respond to sudden demands in a timely manner.

Method used

By introducing shuttle-type logistics delivery robots and an intelligent management system, and through material classification and scheduling methods, we can distinguish between planned and temporary delivery materials, rationally arrange delivery times, optimize route planning, and select appropriate robot models for delivery.

Benefits of technology

It improved delivery efficiency, enhanced system flexibility, optimized energy use, improved user experience, achieved intelligent management, reduced operating costs and energy consumption, and ensured that goods arrived accurately and on time.

✦ Generated by Eureka AI based on patent content.

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Abstract

According to the connection type logistics distribution robot based on intelligent classification and scheduling and the distribution method, the distribution time is reasonably arranged according to the material consumption and the traffic condition, the resource utilization rate is improved through regional management, intelligent management of the distribution process is achieved through automatic path planning and vehicle type selection, and the distribution efficiency is improved. The operation cost is further reduced, the overall logistics efficiency is improved, and the technical problems that in the prior art, a logistics distribution system is low in efficiency, insufficient in response flexibility, lack of regional management, poor in energy efficiency, poor in user experience, low in automation level and the like are solved.
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Description

Technical Field

[0001] This invention relates to the field of logistics and distribution technology, and in particular to a shuttle-type logistics and distribution robot and distribution method based on intelligent classification and scheduling. Background Technology

[0002] Existing technologies, including traditional hospital logistics and distribution systems and robots, face numerous technical challenges, such as inefficiency, lack of responsiveness, inadequate area management, energy efficiency, and poor user experience. The system's inability to accurately analyze material usage data and insufficient delivery planning hinders efficient and timely robot operation. Faced with unexpected demands, the system lacks the ability to flexibly adjust delivery task priorities and routes. Furthermore, the lack of effective area division management leads to time-consuming and energy-intensive robot round trips, further exacerbated by frequent elevator use. Traditional systems suffer from low levels of automation, making intelligent management and route optimization difficult, and they fail to provide accurate material arrival forecasts, hindering medical staff from appropriately scheduling work and treatment plans. These problems highlight the urgent need for more efficient and intelligent logistics solutions in the complex environment of hospitals. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention proposes a shuttle-type logistics delivery robot and delivery method based on intelligent classification and scheduling, and the technical solution adopted is as follows: A delivery method, the method comprising: S1: The materials management system categorizes materials into planned distribution materials and temporary distribution materials based on their consumption. S2: The end user places an order for the required materials through the order system. The order system obtains the information of the required materials and the end user, and sends the information to the material management system. S3: The material management system classifies the required materials. For planned delivery materials, shuttle logistics delivery robots are arranged for centralized delivery during periods when traffic is not congested. For temporary delivery materials, shuttle logistics delivery robots are arranged to deliver the temporary delivery materials immediately. S4: The shuttle-type logistics delivery robot plans a route based on the destination of the goods, travels to the destination according to the route, transmits the arrival information of the goods to the user terminal after completing the delivery, and returns along the same route to perform the next shuttle delivery task.

[0004] Preferably, the classification method of S1 includes: obtaining the historical average daily delivery quantity of each material and comparing it with the delivery decision threshold. If the daily consumption is lower than the delivery decision threshold, it is classified as a type of planned delivery material. If the daily consumption is higher than the delivery decision threshold, the variance value of the consumption of this material in each time period is obtained. When the difference between the highest variance value and the lowest variance value is greater than the classification threshold, it indicates that although the consumption of this material is large, the time period of use is concentrated, and it is classified as a type of planned delivery material. When the difference between the highest variance value and the lowest variance value is greater than the classification threshold, it indicates that the consumption of this material is large throughout the entire time period, and it is classified as a temporary delivery material.

[0005] Preferably, S2 includes: S21: The end user enters the order system with their account password and places an order for the required materials and quantities. If the required materials are temporary delivery materials, the user can choose the expected delivery time. Otherwise, it is immediate delivery. If the required materials are planned delivery materials, the order system will inform the user of the delivery time and the estimated arrival time. S22: The order system obtains the user information pre-saved in the system and transmits the user information and the required material information to the material management system.

[0006] Preferably, in step S21, the user can choose emergency delivery or delivery according to the delivery time notified to the user by the order system based on the degree of need for the planned delivery materials. If the user's need for the planned delivery materials is urgent, they can choose emergency delivery, and the material management system will classify the materials as temporary delivery materials.

[0007] Preferably, S3 includes: S31: The material management system filters and classifies the received material information, dividing the required materials into planned delivery materials and temporary delivery materials. S32: The planned delivery materials are further classified into Category I planned delivery materials and Category II planned delivery materials. For Category I planned delivery materials, shuttle logistics delivery robots are arranged for centralized delivery during periods when traffic is not congested. For Category II planned delivery materials, shuttle logistics delivery robots are arranged for delivery during peak usage periods. For temporary delivery materials, shuttle logistics delivery robots are arranged for delivery immediately.

[0008] Preferably, in step S21, if the user selects a desired delivery time for the temporary delivery materials, the material management system will classify the materials as Category II planned delivery materials.

[0009] Preferably, the present invention divides the entire logistics scenario into multiple areas. After classifying the materials into planned and temporary delivery materials, the material management system will further classify them according to the area where the delivery address is located. Each shuttle-type logistics delivery robot delivers all materials within its area.

[0010] Preferably, in step S3, a shuttle-type logistics delivery robot is arranged to deliver the goods. The comprehensive material management system selects a suitable model of shuttle-type logistics delivery robot based on the destination area of ​​the goods and the total weight of the goods. The technical solution adopted is as follows: A: Based on the total mass of goods within the region and the single delivery load capacity of this type of shuttle logistics delivery robot, obtain the theoretically required number of transport trips N for the shuttle logistics delivery robot, and... Where G represents the total mass of goods within the area, and g represents the single delivery load of the shuttle logistics delivery robot; B: Obtain the actual number of transports n required by the shuttle logistics delivery robot, and the actual number of transports n required by the shuttle logistics delivery robot is obtained by the following formula: ; in, Let L represent the working time corresponding to the current battery level of the shuttle delivery robot, L represent the one-way delivery distance of the shuttle delivery robot, V represent the average travel speed of the shuttle delivery robot, and α represent the pause coefficient of the shuttle delivery robot, with a value range of [1,2]. Indicates the time taken to travel to and from the elevator. This represents the time consumed to reach each delivery address, and r represents the number of delivery addresses reached by the shuttle delivery robot. C: If n > N, it means that the shuttle logistics delivery robot of this model can complete the delivery task; otherwise, it means that the shuttle logistics delivery robot of this model cannot complete the delivery task, and the material management system will reselect a suitable shuttle logistics delivery robot.

[0011] Preferably, S4 includes: S41: After receiving the goods, the shuttle-type logistics delivery robot plans a driving route according to the destination of the goods, and the planning of the driving route is based on the principle of horizontal route priority; S42: After the shuttle-type logistics delivery robot has planned its driving route, it travels to the destination according to the planned route, docks with the material storage cabinet at the destination, places the materials in the material storage cabinet, and at the same time transmits the material arrival information to the user terminal, and then returns along the same route to perform the next shuttle delivery task.

[0012] A shuttle-type logistics delivery robot, wherein the shuttle-type logistics delivery robot performs a delivery method as described in any one of claims 1-9.

[0013] Beneficial effects of this invention: This solution optimizes the logistics and delivery process by introducing shuttle-type logistics delivery robots and an intelligent management system. Its main advantages include: improved delivery efficiency by rationally scheduling delivery times based on material consumption and traffic conditions, reducing the impact of congestion; enhanced system flexibility, enabling immediate response to temporary needs and intelligent material classification; improved resource utilization through regional management; optimized energy use, reducing energy consumption during delivery; improved user experience by providing users with more accurate delivery time estimates and real-time material arrival information; and intelligent management of the delivery process through automated route planning and vehicle selection, further reducing operating costs and improving overall logistics efficiency. Attached Figure Description

[0014] Figure 1 As described in this invention, a delivery method is provided. Detailed Implementation

[0015] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0016] One embodiment of the present invention provides a delivery method, the method comprising: S1: The materials management system categorizes materials into planned distribution materials and temporary distribution materials based on their consumption. S2: The end user places an order for the required materials through the order system. The order system obtains the information of the required materials and the end user, and sends the information to the material management system. S3: The material management system classifies the required materials. For planned delivery materials, shuttle logistics delivery robots are arranged for centralized delivery during periods when traffic is not congested. For temporary delivery materials, shuttle logistics delivery robots are arranged to deliver the temporary delivery materials immediately. S4: The shuttle-type logistics delivery robot plans a route based on the destination of the goods, travels to the destination according to the route, transmits the arrival information of the goods to the user terminal after completing the delivery, and returns along the same route to perform the next shuttle delivery task.

[0017] The working principle and effects of the above technical solution are as follows: First, the integrated materials management system analyzes historical consumption data to classify materials into two categories: planned delivery materials and temporary delivery materials. Planned delivery materials are those with relatively stable consumption and can be delivered at fixed time intervals. Temporary delivery materials are those with large fluctuations in consumption or sudden demand, requiring immediate response. End users submit material requests through the order system. The system captures information about the required materials and the user's relevant information, which is then sent to the integrated materials management system for processing. The integrated materials management system further classifies and sorts the materials based on the received orders. For temporary delivery materials, the system arranges for a shuttle-type logistics delivery robot to deliver them immediately to meet the user's immediate needs. After receiving the delivery order, the shuttle-type logistics delivery robot automatically plans the optimal route based on the destination of the materials, reaching the destination in the fastest and most economical way. After arriving at the destination and completing the delivery, the logistics robot sends the arrival information back to the user terminal for confirmation. The robot then returns to the starting point to transport the remaining materials. This invention optimizes resource allocation through intelligent classification and scheduling, improving delivery efficiency and system flexibility. Logistics robots perform planned deliveries when traffic is not congested, reducing traffic delays and responding instantly to temporary needs, thus enhancing user experience. Automated route planning and feedback mechanisms improve delivery accuracy and timeliness, reduce operating costs, and effectively utilize energy, thereby optimizing the overall operational efficiency of the logistics system.

[0018] In one embodiment of the present invention, the classification method of S1 includes: obtaining the historical average daily delivery quantity of each material and comparing it with a delivery decision threshold; if the daily consumption is lower than the delivery decision threshold, it is classified as a type of planned delivery material; if the daily consumption is higher than the delivery decision threshold, the variance value of the consumption of this material in each time period is obtained; when the difference between the highest variance value and the lowest variance value is greater than the classification threshold, it indicates that although the consumption of this material is large, the time period of use is concentrated, and it is classified as a type of planned delivery material; when the difference between the highest variance value and the lowest variance value is greater than the classification threshold, it indicates that the consumption of this material is large throughout the entire time period, and it is classified as a temporary delivery material.

[0019] The working principle and effect of the above technical solution are as follows: First, the system obtains the historical average daily delivery quantity of each type of material. If the average daily consumption of a certain material is lower than the preset delivery decision threshold, then this material is considered to have stable consumption and non-urgent demand, and is therefore classified as a first-category planned delivery material. This type of material can be delivered in concentrated periods during off-peak hours. If the average daily consumption is higher than the delivery decision threshold, the system further analyzes the variance of the material's consumption in different time periods. If the difference between the highest and lowest variance values ​​is greater than the classification threshold, it means that although the overall consumption of this material is large, its consumption time is concentrated. These materials are classified as second-category planned delivery materials, indicating that they need to be delivered in concentrated periods. If the difference between the highest and lowest variance values ​​is less than or equal to the classification threshold, it indicates that the consumption of this material is evenly distributed in different time periods, so the consumption is relatively stable but large, requiring more timely delivery services, and is therefore classified as a temporary delivery material. The logistics delivery classification method based on historical consumption data and its fluctuation analysis can effectively optimize resource allocation and improve logistics efficiency. By classifying materials into two main categories, planned and temporary, the system can arrange delivery strategies in a targeted manner to avoid unnecessary resource waste. Specifically, the stable delivery of low-consumption materials and the centralized or timely delivery of high-consumption materials have enabled an accurate response to demand at different times.

[0020] In one embodiment of the present invention, S2 includes: S21: The end user enters the order system with their account password and places an order for the required materials and quantities. If the required materials are temporary delivery materials, the user can choose the expected delivery time. Otherwise, it is immediate delivery. If the required materials are planned delivery materials, the order system will inform the user of the delivery time and the estimated arrival time. S22: The order system obtains the user information pre-saved in the system and transmits the user information and the required material information to the material management system.

[0021] The working principle and effects of the above technical solution are as follows: End users first enter the order system through a secure account password mechanism to begin their procurement process. They can select the required materials and their specific quantities on the platform. For materials marked as temporary delivery, the system provides users with a customized service, allowing them to choose their desired delivery time to prioritize urgent needs and ensure rapid delivery. For planned delivery materials, the system automatically generates and prompts users with the planned delivery time and estimated arrival time. After completing the order selection, the order system ensures rapid verification of user identity and accuracy by retrieving the user's pre-saved personal information. The system combines this user information with detailed material requirements and then transmits the complete data packet to the comprehensive material management system for further processing and scheduling. First, the account password system ensures the security of user access and improves order processing efficiency through automated information extraction and integration. The system can flexibly adjust delivery strategies according to the type of materials: for temporary delivery materials, users can specify their desired delivery time to ensure that urgent needs are prioritized; for planned delivery materials, clear delivery and estimated arrival times are provided to help users arrange receipts reasonably. This not only improves the overall user experience but also ensures the accuracy of information and the efficiency of order management. Furthermore, by integrating and transmitting user information and order data to the comprehensive materials management system, the accuracy and timeliness of materials distribution are ensured, which helps to optimize resource allocation, reduce operating costs, and maintain a keen response to market dynamics in a constantly changing demand environment.

[0022] In one embodiment of the present invention, in step S21, the user chooses emergency delivery or delivery according to the delivery time notified to the user by the order system based on the degree of need for the planned delivery materials. If the user's need for the planned delivery materials is urgent, they can choose emergency delivery, and the material management system will classify the materials as temporary delivery materials.

[0023] The working principle and effects of the above technical solution are as follows: When a user selects planned delivery of goods, they can choose the delivery mode based on the urgency of their needs. If the user chooses the delivery time suggested by the system, the goods remain in the planned delivery category; however, if the user chooses emergency delivery due to urgent needs, the comprehensive goods management system will reclassify the goods as temporary delivery goods for priority scheduling. By allowing users to select planned delivery goods based on urgency, the system can adjust the goods classification in real time, ensuring that urgent matters are prioritized. This dynamic adjustment not only improves the efficiency of resource allocation but also optimizes logistics route planning, enabling the delivery system to operate more efficiently. Simultaneously, this mechanism supports more accurately meeting diverse user needs, contributing to the overall efficiency improvement of the logistics system.

[0024] In one embodiment of the present invention, S3 includes: S31: The material management system filters and classifies the received material information, dividing the required materials into planned delivery materials and temporary delivery materials. S32: The planned delivery materials are further classified into Category I planned delivery materials and Category II planned delivery materials. For Category I planned delivery materials, shuttle logistics delivery robots are arranged for centralized delivery during periods when traffic is not congested. For Category II planned delivery materials, shuttle logistics delivery robots are arranged for delivery during peak usage periods. For temporary delivery materials, shuttle logistics delivery robots are arranged for delivery immediately.

[0025] The working principle and effects of the above technical solution are as follows: After receiving material information from the order system, the comprehensive material management system first filters this information. Then, based on preset classification standards, the materials are divided into two main categories: planned delivery materials and temporary delivery materials. For materials classified as planned delivery, the system further subdivides them. Category 1 planned delivery materials: These materials typically have stable consumption. The system will schedule centralized delivery using shuttle-type logistics delivery robots during periods of low traffic congestion, thereby improving delivery efficiency and reducing traffic impact. Category 2 planned delivery materials: These materials have fluctuating demand within specific time periods. For these cases, the system will dispatch robots for delivery during peak usage periods to maximize user satisfaction. For temporary delivery materials, due to urgent needs, the system will immediately arrange shuttle-type logistics delivery robots for delivery to ensure rapid arrival of the materials. Through intelligent classification and scheduling, the comprehensive material management system improves the overall efficiency of logistics and distribution. First, it can efficiently filter material information, classifying materials into two main categories: planned delivery and temporary delivery, thereby optimizing the utilization of distribution resources. The system further subdivides planned delivery materials, ensuring that Category I planned materials are delivered centrally when traffic is not congested to reduce delays and logistics costs; while Category II planned materials are delivered during peak usage periods to ensure their needs are met when demand is highest. Temporary delivery materials are responded to quickly through an instant dispatch mechanism. This refined classification and dispatch process not only improves resource allocation efficiency but also enhances the logistics system's responsiveness to different demands.

[0026] In one embodiment of the present invention, in step S21, if the user selects a desired delivery time for the temporary delivery materials, the material management system classifies the materials as Category II planned delivery materials.

[0027] The working principle and effects of the above technical solution are as follows: In logistics order processing, if a user specifies a desired delivery time for temporary delivery materials, this selection will cause the comprehensive materials management system to dynamically adjust the classification of the materials. Specifically, the materials are reclassified from the initial temporary delivery category to Category II planned delivery materials. This classification adjustment allows the system to more easily plan delivery routes and times based on the delivery time window provided by the user, ensuring that the shuttle-type logistics delivery robots complete the delivery task within the given time. Dynamic classification and flexible scheduling strategies significantly improve the operational efficiency of the logistics system. When a user specifies a delivery time for temporary delivery materials, the system can reclassify the materials into Category II planned delivery materials according to this time requirement, enabling the overall delivery to be carried out with greater planning. At the same time, by arranging delivery within the specified time window, the system optimizes the allocation and use of resources, reduces operating costs, and reduces unnecessary delivery conflicts and delays. This mechanism makes the logistics process more efficient and orderly, thereby improving the overall efficiency of the supply chain.

[0028] In one embodiment of the present invention, the entire logistics scenario is divided into multiple areas. After the material management system classifies the materials into planned delivery materials and temporary delivery materials, it will further classify them according to the area where the delivery address is located. Each shuttle-type logistics delivery robot delivers all materials in the area.

[0029] The working principle and effects of the above technical solution are as follows: In one embodiment of the present invention, in step S3, a shuttle-type logistics delivery robot is arranged to deliver the goods. The comprehensive material management system selects a suitable model of shuttle-type logistics delivery robot based on the destination area of ​​the goods and the total weight of the goods. The technical solution adopted is as follows: A: Based on the total mass of goods within the region and the single delivery load capacity of this type of shuttle logistics delivery robot, obtain the theoretically required number of transport trips N for the shuttle logistics delivery robot, and... Where G represents the total mass of goods within the area, and g represents the single delivery load of the shuttle logistics delivery robot; B: Obtain the actual number of transports n required by the shuttle logistics delivery robot, and the actual number of transports n required by the shuttle logistics delivery robot is obtained by the following formula: ; in, Let L represent the working time corresponding to the current battery level of the shuttle delivery robot, L represent the one-way delivery distance of the shuttle delivery robot, V represent the average travel speed of the shuttle delivery robot, and α represent the pause coefficient of the shuttle delivery robot, with a value range of [1,2]. Indicates the time taken to travel to and from the elevator. This represents the time consumed to reach each delivery address, and r represents the number of delivery addresses reached by the shuttle delivery robot. C: If n > N, it means that the shuttle logistics delivery robot of this model can complete the delivery task; otherwise, it means that the shuttle logistics delivery robot of this model cannot complete the delivery task, and the material management system will reselect a suitable shuttle logistics delivery robot.

[0030] The working principle and effects of the above technical solution are as follows: First, by calculating the total mass of the materials and the robot's single-load capacity, the minimum number of transport trips theoretically required by the robot is determined. Simultaneously, the solution introduces a practical calculation method that considers the robot's current battery level, delivery path length, average speed, potential running resistance, and multi-point delivery processing time. By combining these comprehensive factors, the actual number of delivery tasks the robot needs to complete under current conditions and constraints is calculated. The theoretical requirement N is compared with the actual requirement n. If the actual number of possible transport trips is greater than the theoretical requirement (n>N), it indicates that the robot has the necessary capability and resources to complete the task. Otherwise, it indicates that the current robot model is limited and needs to be replaced with a more suitable model. The advantages of this technical solution in logistics distribution lie in its precise management and efficient utilization of resources. First, by calculating the theoretical number of transport trips of the materials and the transport capacity under actual conditions, the solution can accurately match the most suitable robot model, ensuring that each task is carried out under optimal conditions and avoiding resource waste. Simultaneously, the solution comprehensively considers diverse influencing factors, such as battery level, delivery distance, speed, pauses, and the complexity of multi-point delivery, ensuring the comprehensiveness and practicality of task planning. This design not only reduces the risk of delivery disruptions and delays, but also enhances the system's responsiveness and flexibility, significantly improving logistics efficiency and ensuring that goods are delivered to their destinations in a timely and accurate manner.

[0031] In the formula for calculating the number of transport trips n, the formula first takes into account the current battery level of the shuttle-type logistics delivery robot, which determines the working time that the robot can support. The pause coefficient α, calculated using delivery distance L and average travel speed V, accounts for the additional time consumed by various obstacles (such as traffic, waiting time, etc.). Considering the need to utilize elevators when the robot moves between buildings, This is the time required for one round trip. Calculate the arrival time at each delivery address. This formula, multiplied by the number of receiving points *r*, covers the processing time required at all delivery points. The technical effects of this formula improve the efficiency and reliability of logistics and distribution in several ways. First, it enhances the accuracy of delivery task assessment by comprehensively considering factors such as battery power, delivery distance, speed, and additional time consumption to accurately calculate the actual number of transport trips required by the robot. Second, it avoids delivery interruptions or delays caused by selecting inappropriate robot models, ensuring that each task can be completed smoothly. Furthermore, by considering multiple variables, the formula prevents additional time consumption due to road obstructions or improper operation, optimizing the overall scheduling and utilization efficiency of robot resources, thereby improving the smoothness and efficiency of the entire logistics process.

[0032] In one embodiment of the present invention, S4 includes: S41: After receiving the goods, the shuttle-type logistics delivery robot plans a driving route according to the destination of the goods, and the planning of the driving route is based on the principle of horizontal route priority; S42: After the shuttle-type logistics delivery robot has planned its driving route, it travels to the destination according to the planned route, docks with the material storage cabinet at the destination, places the materials in the material storage cabinet, and at the same time transmits the material arrival information to the user terminal, and then returns along the same route to perform the next shuttle delivery task.

[0033] Furthermore, after the shuttle-type logistics delivery robot has planned its route, it uses image processing technology to detect the flow of people along the delivery route in real time and obtain the road occupancy rate. The formula for calculating the road occupancy rate is as follows: Where P represents road occupancy rate, S represents road area, and Q represents the number of people on the road. When P≥K, it means that the occupancy rate of people on the delivery route is small, and the passage of the shuttle logistics delivery robot and the intersection of people on the delivery route have little impact on delivery efficiency. In this case, the shuttle logistics delivery robot delivers according to this delivery route. When P<K, the shuttle logistics delivery robot replans the road. If the occupancy rate of the first floor is all <K, the shuttle logistics delivery robot obtains the occupancy rate of the roads above the first floor and selects the road with an occupancy rate ≥K as the new delivery route.

[0034] The working principle and effect of the above technical solution are as follows: After receiving the goods, the shuttle-type logistics delivery robot plans an efficient route for delivery. The road occupancy rate value K is a critical value derived from historical data, representing the impact of the shuttle-type logistics delivery robot's passage and pedestrian intersections on delivery efficiency. Route planning follows the principle of horizontal route priority, meaning the robot prioritizes horizontal movement within the same floor to reduce elevator usage and energy and time consumption during vertical movement. Once route planning is complete, the robot travels to the destination according to the set route. Upon arrival, the robot docks with the goods storage cabinet and accurately places the goods in the designated location. After completing the delivery task, the robot returns along the original route to prepare for the next shuttle delivery task. By adopting the principle of horizontal route priority, the logistics delivery robot can minimize vertical movement, saving time and energy consumption, thereby improving delivery efficiency. After planning the route, the robot can accurately dock with the destination goods storage cabinet, ensuring accurate delivery of goods and information synchronization to the user terminal. This automated process not only ensures the timeliness and accuracy of information transmission, but also allows robots to quickly return to prepare for the next delivery task, significantly improving the operational efficiency and reliability of the overall logistics system.

[0035] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A delivery method, characterized in that, The method includes: S1: Materials are transported to the receiving station via a transport track; the materials management system categorizes materials into planned delivery materials and temporary delivery materials based on their consumption. S2: The order system obtains information on materials and end-users within the transfer station and sends the information to the material management system. S3: The material management system classifies the materials in the docking station. For planned delivery materials, shuttle logistics delivery robots are arranged for centralized delivery during periods when traffic is not congested. For temporary delivery materials, shuttle logistics delivery robots are arranged to deliver the temporary delivery materials immediately. S4: The shuttle-type logistics delivery robot plans a driving route based on the destination of the goods, travels to the destination according to the driving route, transmits the arrival information of the goods to the user terminal after completing the delivery, and returns along the same route to perform the next shuttle delivery task.

2. The delivery method according to claim 1, characterized in that, The classification method of S1 includes: obtaining information on all materials transmitted to the receiving station, obtaining the historical average daily delivery quantity of each material, comparing it with the delivery decision threshold, and equating the average daily delivery quantity with the daily consumption. If the daily consumption is lower than the delivery decision threshold, it is classified as a type of planned delivery material. If the daily consumption is higher than the delivery decision threshold, the variance value of the consumption of this material is obtained for each hour. When the difference between the variance value corresponding to each hour and the lowest variance value is greater than the classification threshold, it indicates that although the consumption of this material is large, the time period of use is concentrated, and it is classified as a type of planned delivery material. When the difference between the variance value corresponding to each hour and the lowest variance value is less than the classification threshold, it indicates that the consumption of this material is large throughout the entire time period, and it is classified as a temporary delivery material.

3. The delivery method according to claim 1, characterized in that, S2 includes: S21: If the materials needed by the end user are temporary delivery materials, the end user can choose the expected delivery time of the materials; otherwise, it is immediate delivery. If the materials needed by the end user are planned delivery materials, the order system will inform the end user of the delivery time and the estimated arrival time. S22: The order system obtains the user information pre-saved in the system and transmits the user information and the required material information to the material management system.

4. The delivery method according to claim 3, characterized in that, In step S21, the user can choose emergency delivery or delivery according to the delivery time notified to the user by the order system, depending on the degree of need for the planned delivery materials. If the user's need for the planned delivery materials is urgent, they can choose emergency delivery, and the material management system will classify the materials as temporary delivery materials.

5. A delivery method according to claim 1, characterized in that, S3 includes: S31: The material management system filters and classifies the received material information, dividing the required materials into planned delivery materials and temporary delivery materials. S32: The planned delivery materials are further classified into Category I planned delivery materials and Category II planned delivery materials. For Category I planned delivery materials, shuttle logistics delivery robots are arranged for centralized delivery during periods when traffic is not congested. For Category II planned delivery materials, shuttle logistics delivery robots are arranged for delivery during peak usage periods. For temporary delivery materials, shuttle logistics delivery robots are arranged for delivery immediately.

6. A delivery method according to claim 4, characterized in that, In step S21, if the user selects a desired delivery time for the temporary delivery materials, the material management system will classify the materials as Category II planned delivery materials.

7. A delivery method according to claim 1, characterized in that, The entire logistics scenario is divided into multiple areas. After classifying the materials into planned and temporary delivery materials, the material management system will further classify them according to the area where the delivery address is located. Each shuttle-type logistics delivery robot delivers all the materials in the area.

8. A delivery method according to claim 1, characterized in that, In step S3, a shuttle-type logistics delivery robot is arranged to deliver the goods. The comprehensive material management system selects a suitable model of shuttle-type logistics delivery robot based on the destination area of ​​the goods and the total weight of the goods. The technical solution adopted is as follows: A: Based on the total mass of goods within the region and the single delivery load capacity of this type of shuttle logistics delivery robot, obtain the theoretically required number of transport trips N for the shuttle logistics delivery robot, and... Where G represents the total mass of goods within the area, and g represents the single delivery load of the shuttle logistics delivery robot; B: Obtain the actual number of transports n required by the shuttle logistics delivery robot, and the actual number of transports n required by the shuttle logistics delivery robot is obtained by the following formula: ; in, Let L represent the working time corresponding to the current battery level of the shuttle delivery robot, L represent the one-way delivery distance of the shuttle delivery robot, V represent the average travel speed of the shuttle delivery robot, and α represent the pause coefficient of the shuttle delivery robot, with a value range of [1,2]. Indicates the time taken to travel to and from the elevator. This represents the time consumed to reach each delivery address, and r represents the number of delivery addresses reached by the shuttle delivery robot. C: If n > N, it means that the shuttle logistics delivery robot of this model can complete the delivery task; otherwise, it means that the shuttle logistics delivery robot of this model cannot complete the delivery task, and the material management system will reselect a suitable shuttle logistics delivery robot.

9. A delivery method according to claim 1, characterized in that, S4 includes: S41: After receiving the goods, the shuttle-type logistics delivery robot plans a driving route according to the destination of the goods, and the planning of the driving route is based on the principle of horizontal route priority; S42: After the shuttle-type logistics delivery robot has planned its driving route, it travels to the destination according to the planned route, docks with the material storage cabinet at the destination, places the materials in the material storage cabinet, and at the same time transmits the material arrival information to the user terminal, and then returns along the same route to perform the next shuttle delivery task.

10. A shuttle-type logistics delivery robot, characterized in that, When the shuttle-type logistics delivery robot is executed, it implements a delivery method as described in any one of claims 1-9.