Cargo Handling Sensor Self-Calibration for Position Drift
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Solution Overview
Problem
Autonomous cargo handling systems face errors in situation assessment due to inaccuracy in sensor positioning and orientation, which can lead to catastrophic accidents and increased installation costs, and these inaccuracies can change over time due to human intervention, mechanical factors, and natural causes.
Innovation Solution
A self-calibrating autonomous cargo handling system that uses a system controller to receive structural cargo deck data from sensing agents, generate a real-time cargo deck model, identify cargo deck components, and determine the position of sensing agents relative to these components, allowing for continuous calibration and reduced errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are positioned and oriented with high precision during installation, then situation assessment accuracy is improved, but installation costs increase
Solution Approach 1:
The system performs self-calibration by automatically detecting cargo deck components and computing sensor positions relative to these components, eliminating the need for manual precision positioning and reducing installation costs while maintaining high measurement accuracy
Solution Approach 2:
The system dynamically adjusts sensor positioning parameters through continuous calibration processes, allowing the sensors to adapt to changes in their environment and maintain accuracy without requiring precise initial installation
2Measurement precision
If sensors are installed with high precision, then situation assessment accuracy is improved, but the system becomes vulnerable to drift over time due to human intervention, mechanical factors, and cargo loads
Solution Approach 1:
The system performs continuous or periodic calibration during operation to maintain sensor positioning accuracy over time, counteracting drift caused by mechanical factors, cargo loads, and environmental changes
Solution Approach 2:
The system uses feedback from detecting cargo deck components to continuously update and correct sensor position and orientation data, ensuring long-term reliability and accuracy despite external disturbances
3Ease of operation
If the system uses fixed sensor positioning, then initial setup is simpler, but the system cannot accommodate changes in sensor position and orientation over time
Solution Approach 1:
The system transitions from static sensor positioning to dynamic recalibration, where sensor positions and orientations are continuously updated based on real-time detection of cargo deck components, allowing the system to adapt to changes while maintaining operational simplicity
Data Source
AI summary
An autonomous cargo handling system having a sensor self-calibration system may comprise a sensing agent configured to monitor a sensing zone, and a system controller in electronic communication with the first sensing agent. The system controller may be configured to receive structural cargo deck data from the first sensing agent, generate a real-time cargo deck model, identify a cargo deck component in the real-time cargo deck model, and determine a position of the sensing agent relative to the cargo deck component.