Trailer Cargo Loading Detection Using Vibration Analysis
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Solution Overview
Problem
Current methods for determining whether a trailer is loaded during goods transportation are cumbersome and inaccurate, relying on manual inspection.
Innovation Solution
A sensor apparatus affixed to the trailer, equipped with a processor and communication subsystem, uses vertical accelerometers and strain gauges to detect displacement-related values, analyze frequency properties, and determine if the trailer is loaded or unloaded by comparing variance and energy ratios across specific frequency bands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is used to determine vehicle loading status, then the process is simple to implement, but the accuracy and efficiency are poor
Solution Approach 1:
The patent replaces manual visual inspection with an automated sensor-based detection system. Accelerometers and strain gauges mechanically sense the physical state of the trailer (vibrations, weight changes) and convert them into electrical signals for automated analysis, eliminating the need for manual inspection while improving accuracy.
Solution Approach 2:
The detection system is designed to autonomously determine loading status without human intervention. The processors automatically analyze sensor data, apply algorithms to distinguish loaded from unloaded states, and generate results independently, making the system self-sufficient and eliminating reliance on manual inspection.
2Productivity
If manual inspection is used to determine vehicle loading status, then the system is simple, but the process is slow and inefficient
Solution Approach 1:
The patent replaces slow manual inspection processes with automated electronic sensing and processing. The system continuously collects data from accelerometers and strain gauges, rapidly analyzes vibrations and weight changes through processors, and immediately determines loading status, dramatically increasing detection speed and productivity.
Solution Approach 2:
The detection system operates continuously rather than intermittently as manual inspection does. Sensors continuously monitor trailer conditions, processors constantly analyze data streams, and the system maintains uninterrupted detection capability, maximizing productivity by eliminating gaps between inspections.
3Reliability
If manual inspection is used to determine vehicle loading status, then no additional equipment is needed, but the reliability and accuracy are poor
Solution Approach 1:
The patent replaces unreliable manual judgment with reliable physical sensing. Accelerometers and strain gauges provide objective, consistent measurements of trailer vibrations and weight changes, eliminating human error and subjectivity while establishing a reliable, repeatable detection process based on physical laws.
Solution Approach 2:
The system incorporates feedback mechanisms where sensor data is continuously fed into processors that analyze and interpret loading status. The processed information can be fed back to fleet management systems for verification and decision-making, creating a closed-loop system that improves reliability through multiple layers of validation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method provides accurate and efficient cargo load detection, reducing manual errors and improving fleet management by automating the process of determining trailer loading status.
Implementation Method 1
a sensor apparatus affixed to a transportation asset... detecting a trigger at the sensor apparatus; taking a threshold number of samples of a displacement-related value of the transportation asset over time
Implementation Method 2
A sensor apparatus affixed to the trailer, equipped with a processor and communication subsystem, uses vertical accelerometers and strain gauges to detect displacement-related values
Implementation Method 3
analyzing a frequency property based on the threshold number of samples... analyzing a frequency property based on the samples, wherein the frequency property includes at least one of frequency, period, or spectrum
Data Source
AI summary
A method at a sensor apparatus affixed to a transportation asset, the method including detecting a trigger at the sensor apparatus; taking a threshold number of samples of a displacement-related value of the transportation asset over time; determining that a variance of the threshold number of samples exceeds a threshold; analyzing a frequency property based on the threshold number of samples; and based on the frequency property, determining whether the transportation asset is loaded or unloaded.