Vehicle Scale Load Cell Integrity via Weight Transfer Pattern Analysis
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Solution Overview
Problem
Current vehicle weighing scales lack a method to determine whether load cells are functioning properly or being manipulated for false readings during normal use, which is essential for ensuring accurate weight measurements and preventing cheating in transactions.
Innovation Solution
A method that analyzes dynamically changing patterns of measurement values from load cells during vehicle weighing operations to establish a normal pattern of behavior, comparing these patterns against expected behavior to detect any deviations or manipulations, using a state machine and microprocessor-based analysis to identify faulty or manipulated load cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If load cells are used in vehicle weighing scales, then weight measurement capability is provided, but the risk of load cell manipulation for false readings increases
Solution Approach 1:
The system continuously monitors load cell outputs and compares them against expected weight transfer patterns during vehicle passage. When deviations are detected, the system generates alerts to indicate potential manipulation, creating a feedback loop that detects and reports integrity issues without affecting the measurement function itself
Solution Approach 2:
The system analyzes dynamic weight transfer patterns that occur as vehicles enter, traverse, and exit the scale platform. By examining the temporal and spatial progression of load cell readings rather than static values, the system can detect unnatural patterns that indicate manipulation while maintaining accurate measurement during normal operation
2Reliability
If load cell health monitoring is implemented, then detection of manipulated load cells is improved, but system complexity increases
Solution Approach 1:
The monitoring system utilizes the existing load cell output signals for dual purposes: primary weight measurement and secondary integrity monitoring. By analyzing the same data stream for pattern deviations, the system achieves health monitoring without adding separate sensing mechanisms, thereby limiting complexity increase
Solution Approach 2:
The system performs self-diagnosis by analyzing its own output signals for inconsistencies. The load cell network monitors itself by comparing individual cell readings against expected patterns derived from vehicle dynamics, eliminating the need for external monitoring equipment and reducing overall system complexity
3Reliability
If dynamic pattern analysis of load cell outputs is performed, then detection of improper load cell operation is improved, but processing time and computational resources increase
Solution Approach 1:
The system pre-establishes expected weight transfer patterns and thresholds based on vehicle dynamics before actual weighing occurs. By having these reference patterns ready, the system can perform rapid real-time comparisons during vehicle passage without performing complex calculations moment-by-moment, reducing processing time while maintaining detection accuracy
Data Source
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AI summary
Methods of determining vehicle scale health and suitability for use via weight transfer pattern analysis. Dynamically changing patterns of measurement values are seen at each load cell of a vehicle weighing scale as a vehicle enters, remains on, and leaves the scale platform thereof during a normal vehicle weighing operation. These patterns may be analyzed to provide an indication of whether a given load cell is operating properly and/or being manipulated to produce a false weight reading.