Autonomous Cargo Transport and Lift Coordination for Aircraft Loading
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Solution Overview
Problem
Conventional human-operated end-to-end cargo loading systems in aircraft are inefficient due to human error and pose safety risks, necessitating a more reliable and safer method for cargo handling.
Innovation Solution
An autonomous end-to-end cargo handling system comprising a transportation unit and a lift unit, both equipped with sensing agents and a control module, that communicate via a network to move cargo units from a warehouse to an aircraft or vice versa, allowing for autonomous loading and unloading without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human operators prepare and move cargo units using forklifts, then cargo loading can be performed, but efficiency is reduced due to human error and safety risks increase
Solution Approach 1:
The autonomous cargo loading system performs cargo handling operations independently without human intervention. The system includes autonomous vehicles equipped with sensors and computing modules that automatically navigate, detect cargo units, and execute loading operations based on received instructions, eliminating the need for human operators to physically handle cargo
Solution Approach 2:
The patent replaces manual mechanical operations with an automated control system. The control module communicates with autonomous vehicles through a network, transmitting instructions and receiving status information to coordinate the entire cargo loading process, substituting human-operated mechanical systems with computer-controlled automation
2Productivity
If autonomous vehicles are used for cargo loading, then safety and efficiency are improved, but system complexity increases
Solution Approach 1:
The autonomous cargo loading system is divided into separate functional modules: autonomous vehicles with sensing and computing capabilities, a network communication layer, and a control module. Each component performs a specific function and communicates with others through standardized interfaces, making the complex system manageable and maintainable
Solution Approach 2:
The autonomous vehicles are designed as multi-functional units that can perform various cargo handling operations. The sensing agents and computing modules can detect different types of cargo units and adapt to different loading scenarios, making the system versatile rather than specialized for a single task
Data Source
AI summary
The present disclosure provides an end-to-end cargo handling system. The end-to-end cargo handling system comprises a transportation unit comprising a first sensing agent, a lift unit comprising a second sensing agent, and a control module in communication with the transportation unit and the lift unit via a network, wherein the transportation unit and the lift unit are configured to move a cargo unit from a first location to a second location autonomously.


