Vehicle Cargo Monitoring With Route-Based Movement Prevention
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Solution Overview
Problem
Existing cargo management systems in vehicles fail to actively respond to cargo movement due to changes in vehicle speed, road terrain, and driving maneuvers, leading to inefficiency and potential cargo damage.
Innovation Solution
A computer system that uses sensors to monitor cargo movement and determines proactive preventive actions, such as adjusting the driving route or controlling vehicle systems, to stabilize cargo and prevent further movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If passive monitoring systems are used to detect cargo movement, then cargo position can be detected, but the system cannot actively respond to prevent further cargo displacement
Solution Approach 1:
The system implements a closed-loop feedback mechanism where sensors continuously monitor cargo position and feed this data to the control system. When cargo movement exceeds thresholds, the system automatically responds by adjusting vehicle operations (speed, acceleration, routing) to stabilize cargo, creating a dynamic adaptive management system that transitions from passive detection to active prevention
Solution Approach 2:
The cargo management system performs self-service by autonomously detecting cargo displacement, analyzing the situation, and implementing corrective actions without human intervention. The system uses its own sensor data to trigger automated vehicle control adjustments, enabling the system to manage itself and prevent cargo damage independently
2Device complexity
If static cargo management solutions are implemented, then system complexity is reduced, but the system cannot adapt to varying transit conditions such as vehicle speed, road terrain, and driving maneuvers
Solution Approach 1:
The system transitions from static to dynamic operation by continuously adjusting vehicle parameters (speed, acceleration, routing) based on real-time cargo position data. The control system modifies its behavior dynamically in response to changing transit conditions, creating an adaptive management approach that evolves with the operational context rather than following fixed predetermined rules
Solution Approach 2:
The system changes operational parameters (vehicle speed, acceleration rates, route selection) in response to detected cargo movement. By dynamically adjusting these parameters within acceptable ranges, the system adapts to varying transit conditions and cargo stability requirements, transforming a static management approach into a flexible, condition-responsive system
3Reliability
If manual cargo checks are performed frequently, then cargo safety is improved, but transportation efficiency decreases due to transport delays
Solution Approach 1:
The system replaces manual mechanical cargo inspection with automated electronic sensing and computer-controlled monitoring. Sensors continuously track cargo position without requiring physical intervention, and the control system automatically responds to detected movements, eliminating the need for frequent manual checks while maintaining or improving cargo safety and avoiding transport delays
Data Source
AI summary
A computer system comprising processing circuitry is disclosed. The processing circuitry is configured to obtain sensing data from a sensor monitoring a cargo space of a vehicle; determine, based on the sensing data, that at least a portion of a cargo in the cargo space is moved a threshold distance of the cargo space during operation of the vehicle; determine at least one preventive action to be carried out by the vehicle to prevent further movement of the cargo with respect to the threshold distance, the at least one preventive action comprising a driving route; and control the vehicle to at least partially carry out the at least one preventive action.