Freight Loading System Position Tracking via Sensor Segmentation
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Solution Overview
Problem
Current cargo loading systems face challenges in efficiently determining the end position of freight items on an aircraft deck, often leading to errors in loading and unloading due to the complexity of existing RFID-based systems and the need for extensive sensor coverage, which can result in misplaced cargo and inefficient operations.
Innovation Solution
A cargo loading system that uses a combination of freight reading devices, sensors, and a controller to track the movement of freight items along a conveying route, allowing for the determination of the end position without extensive RFID coverage, using a minimal number of sensors and enabling automatic updating of loading plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complete RFID sensor coverage is used to track freight items, then real-time position detection is improved, but device complexity and cost increase significantly
Solution Approach 1:
The system divides the cargo deck into multiple zones with different sensor densities. High-precision RFID reading devices are positioned at entrance areas and key checkpoints, while fewer sensors are deployed in intermediate areas. This segmentation allows real-time tracking at critical points without requiring complete coverage across the entire deck, thereby reducing overall system complexity while maintaining effective monitoring capabilities.
Solution Approach 2:
Instead of implementing complete RFID coverage across the entire cargo deck, the system uses partial coverage with strategically positioned reading devices at entrance areas and key locations. This partial action approach provides sufficient tracking information for determining freight end positions and updating loading plans without the excessive complexity and cost of full coverage.
2Measurement precision
If a large number of sensors are deployed to track freight movement, then position determination accuracy is improved, but the system becomes more complex and harder to operate
Solution Approach 1:
The controller automatically processes sensor signals to determine freight end positions and update loading plans without requiring manual intervention or complex operator actions. The system self-updates the loading plan based on detected freight positions, eliminating the need for operators to manually interpret sensor data from multiple devices, thereby maintaining high precision while simplifying operation.
Solution Approach 2:
The system continuously receives feedback from sensors about freight positions and automatically adjusts the loading plan accordingly. This closed-loop feedback mechanism allows the system to maintain accurate position determination while automating the complexity of processing multiple sensor inputs, making the system easier to operate as the controller handles the computational complexity autonomously.
3Reliability
If extensive RFID coverage is implemented, then freight tracking reliability is improved, but the system requires more infrastructure and becomes less adaptable to different aircraft configurations
Solution Approach 1:
The reading devices are designed to be universally applicable across different aircraft types and cargo deck configurations. Rather than installing aircraft-specific RFID infrastructure, the system uses multi-functional reading devices that can operate effectively in various zone configurations and aircraft layouts, maintaining reliable tracking while enhancing adaptability to different cargo holds.
Solution Approach 2:
The system dynamically adapts its sensor activation and reading zones based on the specific aircraft configuration and loading requirements. Rather than relying on fixed, extensive RFID infrastructure, the controller dynamically determines which reading devices to activate and how to zone the cargo deck, providing reliable tracking while maintaining versatility across different aircraft types and configurations.
Data Source
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AI summary
Verifying and creating a cargo loading plan is very time-consuming. The invention aims to automate this process. The cargo loading system according to the invention comprises: - at least one cargo reading device, in particular an RFID reading device, installed in the entrance area of the aircraft, for capturing at least one identifier of a cargo item (30); - a plurality of cargo conveying devices (100, 110,..., 210) with at least one roller (102a, 102b) each for conveying the cargo item (30) along a conveying route (F) to a final position, - a controller (20) which receives signals from sensors (104a, 104b, 104c, 104d) to detect movement of the cargo item (30) along the conveying route and is communicatively connected to the cargo reading device, wherein the controller (20) is configured to detect the final position of the cargo item (30) on the cargo deck based on the signals and to store data indicating the final position in conjunction with a detected identifier of the cargo deck.