Cargo Weight Detection via Oscillation Analysis
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Solution Overview
Problem
Existing cargo weight detection systems for mobile bodies like automobiles and railway vehicles are complex, requiring multiple input variables and are not applicable to a variety of vehicles, leading to errors in weight detection.
Innovation Solution
A loading weight detection device that uses oscillation detection and natural vibration analysis, including fast Fourier transformation, to calculate the total weight of a mobile body by identifying vertical and horizontal oscillation center-of-gravity-specific natural vibration values, minimizing the number of input variables and improving accuracy across different types of vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cargo weight prediction device uses multiple input variables (ten different variables) to detect cargo weight, then detection accuracy can be maintained, but input operation becomes complicated and errors are easily accumulated
Solution Approach 1:
The patent extracts only the essential parameters needed for weight detection (vehicle body weight, oscillation period, oscillation amplitude) from the complex set of ten input variables used in prior art. By taking out only the critical variables related to oscillation characteristics and vehicle properties, the system achieves accurate weight detection while dramatically simplifying the input process and reducing error accumulation opportunities.
Solution Approach 2:
The patent performs preliminary measurement of oscillation characteristics (period and amplitude) automatically during the detection process. Instead of requiring operators to manually input all ten variables, the system automatically captures oscillation data and processes it through the detection algorithm, preliminarily preparing the necessary information and reducing manual input requirements to just the vehicle body weight.
2Ease of operation
If cargo weight prediction device is designed for specific vehicle type (trailer trucks only), then input process can be simplified, but applicability to other mobile bodies is limited
Solution Approach 1:
The patent creates a universal weight detection system that can be applied to various mobile bodies (trailer trucks, automobiles, railway vehicles) by focusing on fundamental oscillation characteristics that are common to all vehicle types. The detection method uses basic physical principles (oscillation period and amplitude) that are independent of specific vehicle configuration, making the system universally applicable while maintaining operational simplicity.
Solution Approach 2:
The patent adapts the detection system to different mobile bodies by allowing changes in input parameters (vehicle body weight) and automatically adjusting the oscillation measurement parameters (period, amplitude) based on the specific vehicle being tested. This parameter flexibility enables the same detection methodology to work across different vehicle types without requiring vehicle-specific customization.
3Reliability
If multiple input variables are required for cargo weight detection, then comprehensive data can be collected, but error accumulation increases and detection reliability decreases
Solution Approach 1:
The patent extracts only the three most critical parameters (vehicle body weight, oscillation period, oscillation amplitude) from the ten input variables used in prior art. By eliminating unnecessary variables and focusing only on the essential oscillation characteristics and vehicle properties, the system reduces error accumulation points while maintaining comprehensive data collection for accurate detection.
Solution Approach 2:
The patent implements a feedback mechanism where the oscillation data is automatically measured and processed, and the detected cargo weight is fed back for verification. This automated feedback loop reduces manual input errors and improves reliability by continuously validating the detection results against the measured oscillation characteristics.
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
The device accurately detects cargo weight with a simplified input process, applicable to various mobile bodies, reducing errors and enhancing usability across different vehicle types.
Implementation Method 1
identifying the natural vibration in a self-weight direction of the mobile body as a vertical oscillation center-of-gravity-specific natural vibration value, and identifying the natural vibration around a vehicle axis of the mobile body as a horizontal oscillation center-of-gravity-specific natural vibration value
Implementation Method 2
the natural vibration identifying means may apply fast Fourier transformation to time series oscillation data that has been detected by the oscillation detection means to identify the vertical oscillation center-of-gravity-specific natural vibration value and the horizontal oscillation center-of-gravity-specific natural vibration value
Data Source
AI summary
A loading weight detection device applicable to various mobile bodies can accurately detect loading weight with minimized number of input variables. It includes a touch panel 33 receiving input of vehicle body weight ma and initial setting cargo weight mb0; an oscillation detection part 20 detecting cargo vehicle oscillation; an arithmetic part 31 functioning as natural vibration identifying means for identifying natural vibration in self-weight direction as vertical oscillation center-of-gravity-specific natural vibration value, based on oscillation data detected by an oscillation detection part 20; a storage part 32 storing vertical oscillation center-of-gravity-specific natural vibration value identified by an arithmetic part 31 with cargo having initial setting cargo weight of mb0 loaded on cargo vehicle, vehicle body weight ma, and initial setting cargo weight mb0 as initial setting data, arithmetic part 31 calculating total weight M, being based on vertical oscillation center-of-gravity-specific natural vibration value identified and initial setting data.