Delivery Route Handoff Planning for Aircraft-Robot Goods Delivery
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Solution Overview
Problem
Existing technologies lack a solution for selecting the optimal assembly point and unmanned delivery robot when multiple assembly points and robots are available within a delivery area, leading to inefficiencies in delivering goods without altering the vehicle's navigation route.
Innovation Solution
A delivery management server determines an assembly point and an unmanned delivery robot by considering the required times and battery consumption amounts for both the cargo aircraft and delivery robots, optimizing the combination to deliver goods to a desired location within the vehicle's navigation route.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple assembly points and unmanned delivery robots are available within a delivery area, then delivery flexibility and coverage are improved, but the complexity of selecting the optimal combination increases
Solution Approach 1:
The system changes parameters by considering multiple factors (battery consumption, delivery time, distance) to evaluate and select the optimal assembly point and robot combination, transforming a complex selection problem into a parameter-based optimization process
Solution Approach 2:
The delivery management server acts as an intermediary that receives delivery requests, evaluates multiple assembly points and robots based on various parameters, and determines the optimal combination, thereby simplifying the selection process for the overall system
2Productivity
If the system determines an optimal assembly point and robot combination considering battery consumption and delivery time, then delivery efficiency is improved, but the computational complexity increases
Solution Approach 1:
The system optimizes delivery efficiency by evaluating and comparing multiple parameters (battery consumption, delivery time, distance) for different robot-assembly point combinations, using parameter-based decision making to achieve optimal results
Solution Approach 2:
The delivery management server performs preliminary calculations and evaluations of battery consumption, delivery time, and distance for all possible combinations before making the final selection, preparing the optimization data in advance to streamline the decision process
3Ease of operation
If goods are delivered to a location on the vehicle's navigation route without changing the route, then customer convenience is improved, but the precision of delivery location selection increases
Solution Approach 1:
The system applies local quality by selecting a specific assembly point and robot combination that best matches the delivery requirements at the customer's chosen location on the navigation route, optimizing the local delivery process while maintaining the overall route
Data Source
AI summary
A delivery management server includes: a control module for searching for a plurality of delivery locations located on a navigation route among the navigation information and transmitting the searched delivery locations, when order information and navigation information of goods are received; and a determination module for determining an assembly point to receive goods loaded in an unmanned cargo aircraft according to the order information and an unmanned delivery robot to receive the goods from the assembly point and deliver them to the delivery location to receive the goods from the assembly point and deliver the same to the delivery location, so that the goods can be delivered to the delivery location within the estimated arrival time, when the delivery location selected by the user among the plurality of delivery locations and the estimated arrival time of the vehicle to the selected delivery location are received.