Cash Counter Slice Limit Adjustment via Weight Statistics
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Solution Overview
Problem
Current cash counting by weight systems face challenges in accurately determining and adjusting the slice limit to account for weight variations in circulating banknotes, leading to potential counting errors and inefficiencies, particularly when new series of banknotes are introduced or notes deteriorate, requiring manual and time-consuming processes for calibration.
Innovation Solution
An automated method for determining and adjusting the slice limit using a slice limit determination algorithm that calculates the mean and standard deviation of note weights over time, allowing continuous adaptation to changes in the weight distribution of banknotes in circulation, thereby optimizing accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual determination of slice limit is performed through careful and accurate weighing of many samples, then counting accuracy is improved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The system performs preliminary weighing of a small number of samples to establish initial weight parameters (mean and standard deviation) before actual counting operations. This preliminary characterization allows the slice limit to be pre-calculated and stored, eliminating the need for time-consuming manual determination during operational phases.
Solution Approach 2:
The counting system automatically performs slice limit determination using its own weighing capabilities and statistical algorithms. The system self-calibrates by continuously monitoring weight variations and automatically adjusting the slice limit based on calculated parameters, eliminating the need for external manual intervention and extensive sample weighing.
2Ease of operation
If a fixed slice limit is applied, then operational simplicity is maintained, but counting errors occur when weight variations exceed the fixed limit due to new note series or deteriorated notes
Solution Approach 1:
The slice limit transitions from a fixed static value to a dynamic parameter that automatically adjusts based on real-time weight variations. The system continuously calculates the mean and standard deviation of note weights and dynamically recalculates the slice limit to adapt to changing conditions such as new note series introduction or note deterioration, maintaining both simplicity and reliability.
Solution Approach 2:
The system implements a feedback mechanism where weight measurement results are continuously monitored, and the slice limit is automatically adjusted based on the observed weight variations. The feedback loop uses statistical parameters (mean and standard deviation) to detect changes in note weight characteristics and相应地调整slice limit, ensuring accurate counting without manual intervention.
3Productivity
If the slice limit is increased to improve efficiency, then counting speed increases, but the risk of accumulated tolerance errors increases
Solution Approach 1:
The system changes the slice limit parameter dynamically based on statistical analysis of weight variations. By calculating the slice limit using the formula that incorporates mean weight and standard deviation, the system optimizes the slice limit value to maximize efficiency while maintaining error-free counting. The parameter adjustment is mathematically derived to balance productivity and reliability.
4Measurement precision
If manual recalibration is performed frequently to maintain accuracy, then counting accuracy is maintained, but operational efficiency and productivity decrease
Solution Approach 1:
The system performs continuous automatic slice limit adjustment during operational phases without interruption to counting activities. The statistical monitoring and recalculation of the slice limit occur continuously in the background, ensuring accuracy is maintained while productivity remains high. This eliminates the need for frequent manual recalibration stops.
Data Source
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AI summary
A method of adjusting the slice limit of a counting by weight counting system, comprising providing the system with properties of an item to be counted;adding the items to the system; measuring the weight of the added items; determining the number of added items, the determination being based on a predetermined weight of one of the items; determining the average weight of the added items; determining the mean of the predetermined weight of one of the items and the average weight of the added items; determining the standard deviation of the predetermined weight of one of the items and the average weight of the added items; and determining a new slice limit of the system, the determination being based on the mean value of the predetermined weight of one of the items and the average weight of the added items, and the standard deviation of the predetermined weight of one of the items and the average weight of the added items.