Dynamic Delivery Port Selection for UAV Package Routing Efficiency
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Solution Overview
Problem
The inefficiency in utilizing delivery ports and unmanned aerial vehicles (UAVs) due to pre-determined port reservations leading to deviations in travel time, resulting in reduced port and UAV utilization efficiency, especially in facilities with multiple delivery destinations.
Innovation Solution
A delivery port management system that dynamically selects a delivery port for a UAV to deliver a package based on the package's destination after the UAV has departed, using a port selecting mechanism that evaluates and guides the UAV to the most suitable port, potentially generating a flight route that avoids obstacles and optimizes delivery vehicle routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the delivery port is determined and reserved at the time of UAV departure, then the delivery route can be planned in advance, but the actual travel time deviates significantly and port utilization efficiency decreases
Solution Approach 1:
The patent applies dynamics by transitioning from a static port reservation system to a dynamic port selection system. The delivery port is not predetermined but is selected in real-time based on the UAV's actual position, speed, and environmental conditions during flight. This allows the system to adapt to changing conditions and minimize travel time deviation while optimizing port utilization efficiency.
Solution Approach 2:
The patent implements feedback by continuously monitoring the UAV's flight status, position, and speed, and using this information to dynamically adjust the delivery port selection. The system receives feedback from the UAV's current state and modifies the port assignment accordingly, ensuring optimal performance while reducing time deviation and improving utilization efficiency.
2Ease of operation
If the delivery port is determined and reserved at the time of UAV departure, then the port can be prepared in advance, but the UAV must wait around the port when it is reserved by another UAV
Solution Approach 1:
The system dynamically determines port assignment based on real-time conditions rather than static pre-reservation. This allows the UAV to be directed to ports that are actually available at the time of arrival, eliminating waiting time while maintaining operational simplicity through automated real-time decision-making.
Solution Approach 2:
The system enables self-service by allowing the UAV's actual flight parameters and real-time port availability to automatically determine the optimal delivery port, without requiring manual reservation management or waiting for pre-reserved ports. The system serves itself by using real-time data to make optimal assignments.
3Device complexity
If a fixed port reservation system is used, then the management process is simple, but the utilization efficiency of both port and UAV is reduced
Solution Approach 1:
The patent transitions from a simple but inefficient static management system to a dynamic management system that automatically adapts to real-time conditions. The increased complexity is justified by the significant improvement in utilization efficiency, as the system uses real-time data processing and automated decision-making to optimize port and UAV usage.
Solution Approach 2:
The system changes the management approach from fixed parameters (pre-reserved ports) to variable parameters (real-time port selection based on UAV position, speed, and availability). This allows the system to optimize utilization efficiency by adjusting port assignments based on changing conditions while maintaining manageable complexity through automated processes.
Data Source
AI summary
To improve utilization efficiency of a delivery port and an unmanned aerial vehicle (UAV), a delivery port management system includes obtaining means for obtaining a delivery destination of a package that is transported by a UAV approaching a facility having a plurality of delivery ports and a plurality of delivery destinations, the delivery ports receiving packages, port selecting means for selecting a delivery port to which the UAV delivers the package among the plurality of delivery ports based on the delivery destination of the package after the UAV has departed for the facility, and guiding means for sending information for guiding the UAV to the selected delivery port.