Tipper Body Load Distribution Imaging for Overturn Prevention
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Solution Overview
Problem
Tipper vehicles experience load imbalance during tipping events, which can lead to vehicle overturning, especially when users are not alerted to the imbalance, posing a risk of accidents.
Innovation Solution
A method and system for determining material distribution conditions in a tipper body using imaging devices to generate images during tipping events, analyzing these images to identify center of gravity and overturn parameters, and issuing warnings or implementing countermeasures to balance the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the tipper body is pivoted to release the load during a tipping event, then the load is discharged from the tipper body, but the load becomes unevenly distributed inside the tipper body causing vehicle imbalance and potential overturning
Solution Approach 1:
The system performs preliminary detection of load distribution conditions before and during the tipping event using imaging devices. By identifying potential imbalance conditions in advance, the system can alert the user or automatically adjust the tipping process to prevent vehicle overturning while still enabling efficient load discharge.
Solution Approach 2:
The system continuously monitors load distribution during the tipping event using imaging devices and provides real-time feedback to the control unit. This feedback loop enables dynamic adjustment of the tipping process or user notification to maintain vehicle stability while completing the load discharge operation.
2Reliability
If imaging devices are installed to detect material distribution during tipping events, then load imbalance can be detected and mitigated, but the device complexity increases
Solution Approach 1:
The patent uses imaging devices as intermediary tools to indirectly detect load distribution conditions by capturing images of the material surface. This indirect measurement approach provides reliable safety monitoring without requiring direct contact with the load or complex sensor installations, thus balancing reliability improvement with acceptable system complexity.
Solution Approach 2:
The system replaces traditional mechanical load sensing methods with optical imaging technology. By using cameras to capture and analyze material surface characteristics, the system achieves accurate load distribution detection without the mechanical complexity of traditional force sensors or strain gauges.
Data Source
AI summary
A method for determining a material distribution condition in a tipper body of a tipper vehicle during a tipping event, the tipper body having a longitudinal extension along a longitudinal axis, and being arranged to be pivoted about a transversal axis, perpendicular to the longitudinal axis, during the tipping event, the method comprising generating an image of a surface of the material in the tipper body during the tipping event, and determining the material distribution condition in the tipper body using the image. A method for controlling a tipping event using the method, to a system, and to a vehicle are also disclosed.