A low-altitude economy instant retail whole-link intelligent distribution system

Abstract

The application relates to a low-altitude economy instant retail full-link intelligent distribution system, and relates to the technical fields of low-altitude economy and intelligent distribution. The system comprises a low-altitude unmanned aerial vehicle scheduling module, an AI multi-modal recognition module, a task automatic transfer module, an intelligent distribution robot module, a ground rider terminal module, an Internet of Things real-time monitoring module, an instant retail order docking module and an AI path optimization module. The AI multi-modal recognition module is used for determining the feasibility of unmanned aerial vehicle distribution in real time. When the unmanned aerial vehicle cannot complete the distribution due to restricted flight areas, severe weather, terrain shielding and overload, etc., the task automatic transfer module is used for preferentially switching the distribution task to the intelligent distribution robot seamlessly, and the robot cannot cover the area and is transferred to the ground rider. The full distribution link is monitored, orders are synchronized and state feedback is realized by relying on the Internet of Things, so as to solve the problems of low instant retail distribution efficiency, limited low-altitude distribution scene, poor single transport fault tolerance and difficult link control, and realize the full-process intelligentization, automation and high efficiency of instant retail distribution in the low-altitude economy scene. The system is suitable for air-ground machine collaborative intelligent distribution operation in scenes such as supermarkets, retail and supply chain, and has the technical advantages of high efficiency, precision, controllability and strong adaptability.

Description

Technical Field

[0001] This invention relates to the fields of low-altitude economy, instant retail, intelligent logistics, drone control, intelligent robots and artificial intelligence, and specifically to a low-altitude economy instant retail end-to-end intelligent delivery system that enables automatic dispatch of robots or riders in case of drone delivery failures. Background Technology

[0002] With the gradual liberalization of low-altitude economic policies, the on-demand retail industry has entered a stage of rapid development. Drone last-mile delivery, with its advantages of fast delivery speed, low labor costs, and wide coverage, has become an important development direction for on-demand retail last-mile delivery. However, existing drone delivery technology has many industry pain points: First, drone delivery is greatly restricted by the environment, policies, and terrain. In situations such as no-fly zones, severe weather, or dense building obstructions, delivery cannot be completed, easily leading to order delays and a decline in customer experience. Second, existing delivery systems mostly use single drones, without intelligent robots or ground delivery complementary solutions. In abnormal scenarios, manual intervention is required to transfer orders, which is cumbersome and time-consuming. Third, the end-to-end delivery management capability is insufficient. Orders, capacity, and cargo status cannot be synchronized in real time, and the delivery process is fragmented and lacks intelligence.

[0003] To address the aforementioned issues, there is currently no fully operational intelligent delivery system on the market that can automatically and quickly dispatch intelligent delivery robots or ground riders when drones are unable to deliver. Therefore, developing an intelligent delivery system for instant retail that enables air-ground-drone collaboration, automatic switching, and full-process controllability has become a pressing technical challenge for the low-altitude economy and instant retail industry. Summary of the Invention

[0004] Purpose of the invention

[0005] This invention overcomes the shortcomings of existing low-altitude instant retail delivery technologies and provides a low-altitude economic instant retail end-to-end intelligent delivery system. It realizes automatic identification of drone delivery feasibility, seamless automatic transfer of intelligent delivery robots or ground riders when delivery is not possible, and real-time monitoring and scheduling of the entire chain. It solves the problems of limited drone delivery scenarios, delayed abnormal handling, single delivery capacity, and inefficient management, improves the efficiency and stability of instant retail delivery, and reduces the delivery abnormality rate.

[0006] Technical solution

[0007] This system consists of eight core modules, which work together to achieve intelligent management and control of the entire process from order receipt to delivery completion.

[0008] (1) Low-altitude air conditioning module for UAVs: responsible for UAV take-off and landing control, flight command issuance, flight status control, and return scheduling, to ensure that UAVs perform delivery tasks in a standardized and safe manner.

[0009] (2) AI multimodal recognition module: the core of system perception, which collects multi-dimensional data such as airspace no-fly information, weather conditions, terrain of delivery destination, weight and volume of goods, and the status of the drone itself in real time, and quickly determines whether the drone has the conditions to complete the delivery task through AI algorithm.

[0010] (3) Automatic task transfer module: The core switching unit of the system is linked with the AI ​​multimodal recognition module in real time. Once it is determined that the drone cannot deliver, the drone delivery task is immediately frozen, and the nearest available intelligent delivery robot is matched first. If the robot cannot cover the area, the best rider is matched and the delivery task is quickly issued to achieve seamless order transfer.

[0011] (4) Intelligent delivery robot module: responsible for automated delivery in closed / semi-closed scenarios in parks, communities and business districts, with functions of automatic navigation, automatic obstacle avoidance, automatic connection, automatic delivery and automatic return to the dock.

[0012] (5) Ground rider terminal module: a smart operating terminal for riders, with functions such as order receiving, one-click navigation, pickup verification, delivery signing, and abnormal reporting, serving as a backup transportation capacity guarantee for full-scenario coverage.

[0013] (6) IoT real-time monitoring module: Build a full-domain IoT communication link to synchronize order information, drone flight trajectory, robot operation status, rider location, cargo status and delivery progress in real time, and realize full-process visual monitoring.

[0014] (7) Instant Retail Order Integration Module: Integrates with various instant retail platforms and merchant warehousing systems, automatically captures order information, goods information, and delivery address, and completes the rapid splitting of orders and the issuance of delivery instructions.

[0015] (8) AI Route Optimization Module: For three types of delivery capacity—drones, intelligent delivery robots, and ground riders—the module plans the optimal delivery routes to avoid restricted flight areas, congested roads, and areas where robots are prohibited, thereby maximizing delivery efficiency.

[0016] Complete system workflow

[0017] • Order Integration: Real-time retail orders are synchronized to the system through the order integration module, and core delivery information is parsed.

[0018] • Feasibility assessment: The AI ​​multimodal recognition module collects data from across the entire domain to determine the feasibility of drone delivery;

[0019] • Delivery decision: If feasible, dispatch drones to perform delivery; if not feasible, immediately trigger the automatic task reassignment module.

[0020] • Smart delivery: Prioritize dispatching smart delivery robots to complete deliveries; if robots cannot cover the area, dispatch riders instead.

[0021] • End-to-end monitoring: The IoT module tracks the entire delivery process and synchronizes status information;

[0022] • Order closed loop: After delivery is completed, the system automatically confirms receipt, retains delivery data, and optimizes subsequent scheduling algorithms.

[0023] Beneficial effects

[0024] • Intelligent automatic switching: No human intervention is required. When drones are unable to deliver, robots or riders are automatically dispatched in milliseconds, eliminating order delays and significantly reducing delivery anomaly rates.

[0025] • Three-tiered complementary delivery capacity for full coverage: Drones + intelligent robots + riders work together in three dimensions to eliminate blind spots in low-altitude delivery and adapt to all scenarios such as urban business districts, communities, industrial parks, and gated communities;

[0026] • Highly efficient and controllable throughout the entire process: IoT-based monitoring and AI-powered intelligent scheduling enable integrated delivery processes, significantly improving delivery timeliness;

[0027] • Highly adaptable and easy to implement: It can be implemented based on existing IoT and AI algorithms, with low system construction costs and rapid commercialization.

[0028] • Independently developed and free of infringement: The entire system's technical solution is independently developed, complies with low-altitude economic regulatory requirements, has no technical infringement or confidentiality risks, and can be promoted and applied on a large scale.

Claims

1. A low-altitude, economical, instant retail end-to-end intelligent delivery system, characterized in that, The system includes a drone low-altitude air conditioning module, an AI multimodal recognition module, an automatic task assignment module, an intelligent delivery robot module, a ground rider terminal module, an IoT real-time monitoring module, an instant retail order integration module, and an AI route optimization module. These modules are interconnected via an IoT communication network. The AI ​​multimodal recognition module collects real-time airspace control information, meteorological data, terrain information, and cargo parameters to determine if the drone is capable of delivery. The automatic task assignment module is connected to the AI ​​multimodal recognition module. When the drone is deemed unable to complete the delivery, the task is automatically assigned to the intelligent delivery robot module first. Areas not covered by the robot are then assigned to the ground rider terminal module, achieving seamless switching between air-to-ground and drone delivery capacity.

2. The system according to claim 1, characterized in that, The AI ​​multimodal recognition module specifically includes an airspace no-fly zone recognition unit, a weather perception unit, a terrain obstacle recognition unit, a cargo load recognition unit, and a delivery address accessibility recognition unit, which comprehensively recognizes drone delivery restriction scenarios.

3. The system according to claim 1, characterized in that, The scenarios in which drones cannot deliver goods include: no-fly zone control, temporary air traffic control, severe weather conditions such as strong winds / heavy rain / dense fog, dense buildings with no landing points, cargo exceeding weight and volume limits, electromagnetic interference, drone equipment failure, and low battery warnings.

4. The system according to claim 1, characterized in that, The automatic task assignment module has functions such as task freezing, optimal robot / rider matching, route replanning, real-time order push, and delivery status synchronization, with a assignment response latency of no more than 100ms.

5. The system according to claim 1, characterized in that, The intelligent delivery robot module has functions such as automatic navigation, automatic obstacle avoidance, automatic cargo connection, automatic delivery, and automatic return to charging station.

6. The system according to claim 1, characterized in that, The IoT real-time monitoring module enables real-time tracking, precise positioning, and encrypted data transmission of the entire chain, including drone flight status, robot operation status, rider delivery progress, cargo status, and order information.

7. The system according to claim 1, characterized in that, The AI ​​path optimization module generates the optimal flight path for drones, the optimal driving path for robots, and the optimal delivery path for riders based on low-altitude flight rules, park roads, real-time traffic conditions, and order locations.

8. The system according to claim 1, characterized in that, The instant retail order integration module can connect to third-party retail platforms and supply chain management systems, automatically synchronizing order information and issuing intelligent delivery instructions.

9. The system according to claim 1, characterized in that, The ground rider terminal module enables intelligent operation of the entire process, including order reception, navigation for pickup, delivery and signing, and abnormal reporting.