Measurement Value Correlation Modeling for External Factor Isolation
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Solution Overview
Problem
Existing methods fail to accurately calculate components influencing measured values of a measurement item due to unrecognized factors causing errors, which are results of various physical phenomena.
Innovation Solution
A measured value analysis apparatus and method that selects related items, creates a correlation model using past measured values, calculates predicted values, and identifies divergence to isolate influences from external factors by re-selecting related items based on a specified threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods calculate average values from past measurements and eliminate divergent components as external factors, then the measurement correction can be performed, but the measurement precision deteriorates because factors causing errors cannot be recognized in advance
Solution Approach 1:
The patent introduces correlation models as intermediary tools that mediate between multiple measurement items and the target measurement. These models capture the relationships between measurement items, allowing the system to identify and eliminate components attributable to external factors more accurately, thereby improving measurement precision without losing information about error factors
Solution Approach 2:
The patent applies correlation models that can handle multiple measurement items simultaneously, making the error elimination process universal across different measurement contexts. This multi-functional approach allows the system to recognize and correct errors from various sources (external factors, measurement device characteristics, environmental conditions) using a unified framework
2Measurement precision
If multiple related items are selected and correlation models are created to calculate predicted values, then the measurement accuracy improves, but the device complexity increases due to the need for model creation and iterative selection
Solution Approach 1:
The patent implements self-service through automated iterative processes where the system automatically selects related items, creates correlation models, calculates predicted values, and evaluates divergence. This automation reduces the need for manual intervention and complex device configuration, making the sophisticated measurement correction process more manageable despite the increased algorithmic complexity
Solution Approach 2:
The patent performs preliminary actions by pre-selecting related items and pre-creating correlation models before actual measurement correction is needed. This preparatory work allows the system to have correction mechanisms ready in advance, reducing the complexity during real-time operation while maintaining high measurement accuracy
Data Source
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AI summary
Components which influence a measured value of a measurement item, which is an examination object, are calculated appropriately on the basis of the correlation between the pluralities of measurement items. [Solution] A measured value analysis apparatus includes: a selection unit that selects one examination object item, which is an examination object, and a plurality of related items which are directly or indirectly related to the examination object item; a correlation model creation unit that creates a correlation model between measured values from past measured values of the examination object item and the plurality of related items; and a calculation unit that calculates a predicted value of the examination object item by applying the measured values of the related items to the correlation model and calculates divergence between an actual measured value of the examination object item and the predicted value.