Freight Loading Control Unit Using Remote Position Detection
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Solution Overview
Problem
Existing freight loading systems are complex to operate, leading to potential errors during loading and unloading of aircraft and logistics centers, resulting in increased costs and safety risks due to the need for precise control and manual intervention, especially in high-pressure environments with varying freight dimensions.
Innovation Solution
A freight loading system with a control unit connected to freight handling devices and a remote control that determines its own position and orientation, allowing it to interpret control signals and automatically select and move freight items based on user input, reducing the complexity of operation and enhancing safety through wireless communication and position determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a plurality of actuators and sensors with a control computer are used to achieve automatic loading and unloading, then productivity is improved, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The system uses the remote control's own position and orientation data to automatically determine which freight item to move and in which direction, eliminating the need for complex selection interfaces. The control computer self-adjusts based on received control signals and remote control metadata, making the system operate itself with minimal user input.
Solution Approach 2:
The remote control determines its position and orientation in advance before control signals are sent. The control computer pre-processes this information to identify the target freight item and movement direction, so that when control signals are received, the system is already prepared to execute the correct action immediately.
2Ease of operation
If ground staff manually control freight handling devices, then ease of operation is maintained, but productivity decreases and errors increase due to high-pressure time constraints
Solution Approach 1:
The system automatically identifies the target freight item and determines the correct movement direction based on the remote control's position and orientation, eliminating manual selection processes. This maintains operational simplicity while enabling automatic execution at higher speeds.
Solution Approach 2:
The control computer continuously receives feedback from sensors about freight item positions and uses this information to automatically adjust control signals to the actuators, enabling fast and accurate freight item manipulation without manual intervention.
3Manufacturing precision
If complex control interfaces are provided for precise freight item selection, then manufacturing precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically determines the target freight item and movement direction by processing the remote control's position and orientation data, eliminating complex selection interfaces. The control computer self-calculates the precise positioning requirements based on received control signals and remote control metadata.
Solution Approach 2:
The system pre-determines the target freight item and movement direction based on remote control position and orientation before control signals are sent. This preliminary identification simplifies the control interface while maintaining precise positioning accuracy through pre-calculated control parameters.
4Adaptability or versatility
If manual operation is used to handle individual freight items with varying dimensions, then adaptability is improved, but productivity decreases and error risk increases
Solution Approach 1:
The system dynamically adapts to different freight item dimensions and positions by continuously receiving position data from sensors and adjusting control signals accordingly. The control computer calculates appropriate movement parameters based on real-time freight item characteristics, enabling automatic handling of varied dimensions at high speed.
Solution Approach 2:
Sensors provide continuous feedback about freight item positions, dimensions, and orientations, which the control computer uses to automatically adjust control signals to the actuators. This feedback loop enables adaptive handling of different freight configurations while maintaining high productivity and eliminating manual intervention.
Data Source
AI summary
The application relates to freight loading systems for transporting freight items. Corresponding freight loading system comprises a freight deck having a plurality of freight handling devices, a control device which is communicatively connected to the freight handling devices in order to handle at least one freight item on the freight deck, and a remote control, which is communicatively connected to the control device in order to output control signals to the control device. The control device is intended to comprise a position determination unit for determining a remote control position on the freight deck and/or the orientation of the remote control, wherein the control unit is designed to select a number of freight handling devices and drive same depending on the control signals received and the remote control position and/or orientation of the remote control. This allows easier control of the freight items on the freight deck.