Pressure Distribution Processing with Integrated and Time-Series Measurement
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Solution Overview
Problem
Existing energy measurement technologies struggle to accurately and efficiently capture both integrated and time-series data of energy application, particularly in measuring pressure distributions, leading to inaccuracies due to variations in sensor sensitivity and hysteresis.
Innovation Solution
A system combining a tactile sensor for real-time pressure distribution measurement with a color forming member for integrated pressure measurement, utilizing a processor to integrate and correct data to generate accurate time-series pressure distributions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single measurement member is used to measure energy distribution, then the device complexity is reduced, but the measurement precision deteriorates due to inability to capture both integrated and time-series data
Solution Approach 1:
The measurement system is segmented into two distinct measurement members: a first measurement member that measures integrated energy distribution after energy application, and a second measurement member that measures time-series energy distribution during energy application. This segmentation allows each member to specialize in specific measurement aspects, improving overall measurement precision while maintaining manageable system complexity through clear functional division.
Solution Approach 2:
The system integrates multiple measurement functions into a unified information processing apparatus that can process both integrated energy distribution data and time-series energy distribution data. The processor performs comprehensive analysis including calculating total energy, average energy, maximum energy, and energy distribution patterns, providing universal energy characterization capabilities from multiple measurement sources.
2Loss of information
If only integrated energy measurement is performed, then the measurement process is simplified, but the loss of information increases due to inability to capture time-series characteristics
Solution Approach 1:
The second measurement member performs preliminary action by capturing time-series energy distribution data during the energy application process. This preliminary measurement of temporal characteristics complements the subsequent integrated energy measurement, ensuring that no information about the energy application process is lost before the measurement is complete.
Solution Approach 2:
The system implements feedback by using the processor to analyze both integrated and time-series measurement data, cross-validating results and providing comprehensive energy characterization. The feedback loop ensures that information from both measurement members is integrated to produce accurate, complete energy distribution information, preventing information loss through complementary data fusion.
Data Source
AI summary
An information processing apparatus acquires a first energy distribution measured by a first measurement member capable of measuring an integrated value of an amount of energy after application of energy to an object is ended, acquires time-series data of a second energy distribution measured by a second measurement member capable of measuring the amount of energy at a plurality of points in time during a period from a start to an end of the application of the energy to the object, and performs predetermined processing using the first energy distribution and the time-series data.