Programmable Cargo Containers for Autonomous UAV Delivery Routing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Coordinating the delivery of multiple cargo containers using unmanned aerial vehicles (UAVs) is challenging due to constraints in UAV configuration and the need for precise delivery instructions, especially when dealing with variable payloads.
Innovation Solution
A cargo aerial delivery system that includes a programmable cargo container storing manifest information for each delivery item, allowing local communication with a UAV to generate a delivery itinerary independent of external networks, enabling the UAV to autonomously navigate to delivery destinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If delivery instructions are provided externally to the UAV, then the UAV can be configured for specific deliveries, but the system requires external communication networks and increases operational complexity
Solution Approach 1:
The cargo container's programmable device autonomously generates and transmits delivery instructions to the UAV without requiring external network communication. The container self-services by containing all necessary delivery information (destination, route, instructions) and directly programming the UAV, eliminating the need for external controllers or communication infrastructure.
Solution Approach 2:
Delivery instructions, routes, and operational parameters are pre-programmed into the cargo container before departure. The programmable device contains all necessary delivery information in advance, allowing the UAV to be automatically configured upon receiving the container, without requiring real-time external communication or complex ground control operations.
2Use of energy by moving object
If the system relies on external communication networks for delivery instructions, then centralized control is maintained, but energy efficiency decreases and operational autonomy is reduced
Solution Approach 1:
The cargo container autonomously programs the UAV's navigation and delivery parameters without requiring external communication. The programmable device in the container directly transfers delivery instructions to the UAV's control system, making the system self-sufficient and eliminating continuous energy consumption for network communication during flight.
Solution Approach 2:
The dependency on external communication networks is extracted and removed from the delivery system. All necessary delivery information is contained within the cargo container itself, allowing the UAV to operate independently without maintaining communication links during transit, thereby reducing energy consumption and increasing autonomy.
3Productivity
If cargo containers are paired with specific UAVs based on predetermined configuration, then matching is simplified, but flexibility in coordinating multiple deliveries is reduced
Solution Approach 1:
The pairing between cargo containers and UAVs becomes dynamic rather than static. The programmable device in each container can generate delivery instructions compatible with any UAV in the fleet, allowing flexible reassignment based on real-time conditions such as UAV availability, battery status, and delivery priority, while maintaining simple automated pairing through standardized communication protocols.
Data Source
AI summary
Cargo aerial delivery systems for delivering one or more delivery items and related methods. A cargo aerial delivery system may include a cargo container configured to carry the delivery item(s) and an unmanned aerial vehicle (UAV) configured to carry the cargo container to delivery destinations of the delivery items. The cargo container may include a programmable device that stores manifest information regarding the delivery item(s) and a local communication mode configured to convey delivery information from the cargo container to the UAV. A method of utilizing a cargo aerial delivery system may include loading delivery item(s) into a container body of a cargo container, entering manifest information into a programmable device, operatively engaging the cargo container with a UAV, generating a delivery itinerary, transporting the cargo container with the UAV according to the delivery itinerary, and unloading each delivery item at the respective delivery destination.