Positional Relationship Detection Using Peak-Based Static Averaging
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Solution Overview
Problem
Existing positional relationship detection systems in transport facilities face challenges in accurately determining the static detection target amount due to oscillations in the detection target amounts, which can lead to biased average values.
Innovation Solution
The system employs a measurement unit to record time-series data of detection target amounts, identifies first and second peaks in the oscillation, and calculates the average value of detection target amounts between these peaks to derive a static detection target amount, thereby reducing bias and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the time average value of detection target amounts is calculated to determine the static detection target amount, then the calculation process is simple, but the accuracy is reduced due to bias from oscillations
Solution Approach 1:
The patent segments the time-series data by identifying peaks in the oscillation pattern. Instead of calculating the average over the entire time range, the method divides the data into segments between consecutive peaks and calculates the average only for the portion between peaks. This segmentation eliminates the bias caused by including oscillation extremes in the average calculation, thereby improving measurement precision while maintaining computational simplicity.
2Quantity of substance
If the average value is calculated over the entire time range including oscillations, then all available data is utilized, but the result is biased and inaccurate
Solution Approach 1:
The patent extracts and excludes the oscillation portions from the average calculation. By identifying peaks in the time-series data and calculating the average only for the segments between peaks (excluding the oscillation extremes), the method removes the biased portions while retaining the relevant data. This extraction approach ensures that the static detection target amount is calculated using only the stable, non-oscillating data portions, thereby improving accuracy.
3Adaptability or versatility
If oscillation occurs in the detection target amount, then the measurement process captures dynamic variations, but the static value cannot be accurately determined
Solution Approach 1:
The patent uses feedback from the oscillation pattern itself to improve measurement accuracy. By detecting peaks in the time-series data (which indicate oscillation extremes), the method automatically adjusts the calculation window to exclude these oscillating portions. This feedback mechanism allows the system to adapt to the presence of oscillations and dynamically determine the appropriate data range for averaging, thereby accurately determining the static detection target amount even when oscillations are present.
Data Source
AI summary
A positional relationship detection system includes a measurement unit that measures a positional relationship, a recording unit that records measurement data obtained by the measurement unit in a time series, and a computation unit. The computation unit acquires target time-series data, which is the time-series data of specific detection target amounts indicating the positional relationship, on the basis of the measurement data recorded by the recording unit. The computation unit identifies a first peak and a second peak that are two of a plurality of peaks of a target oscillation that is the oscillation of the detection target amounts appearing in the target time-series data. The computation unit calculates an average value of detection target amounts included in the target time-series data between the first peak and the second peak as a static detection target amount that is a detection target amount after the target oscillation has ceased.