Airflow Analysis Model Correction Using Real-Time Temperature Feedback
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Solution Overview
Problem
Existing airflow analysis methods struggle to accurately model indoor spaces, leading to inaccurate temperature distributions, which affects the effectiveness of temperature adjusting apparatuses like freezing apparatuses in warehouses.
Innovation Solution
An information processing apparatus and method that generates an analysis model for airflow analysis, collects temperature data from measurement points, corrects the model based on actual measurements, and uses the corrected model to perform airflow analysis, thereby improving the accuracy of temperature distribution predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If an analysis model is generated using basic indoor space data (size, shape, window presence, entrance position, air conditioner placement), then the airflow analysis can be performed, but the temperature distribution obtained is not accurate
Solution Approach 1:
The patent implements feedback by collating the temperature distribution obtained from airflow analysis with actually measured temperature data at measurement points. The analysis model is then corrected based on this collation result, creating a closed-loop system where measurement results feed back into model improvement, thereby enhancing temperature distribution accuracy.
2Ease of manufacture
If basic geometric and positional data are used to model the indoor space, then the modeling process is simple, but the actual phenomenon cannot be accurately modeled
Solution Approach 1:
The patent maintains modeling simplicity while improving reliability by using feedback from actual temperature measurements to correct the analysis model. This allows the model to start simple and geometric-based but progressively improve its accuracy through iterative correction based on real-world data, achieving both ease of initial modeling and high reliability.
Solution Approach 2:
The patent applies parameter changes by adjusting the analysis model parameters based on collation results between predicted and actual temperature distributions. This allows the model to adapt its parameters to better reflect actual indoor space conditions while maintaining the simplicity of the original geometric modeling approach.
Data Source
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AI summary
A model generating part (703) generates an analysis model for an airflow analysis of an indoor space. A temperature distribution estimating part (704) performs the airflow analysis of the indoor space by using the analysis model and estimates a temperature distribution in the indoor space. A communication part (701) acquires a temperature measured at a measurement point in the indoor space. A model correcting part (706) collates the temperature distribution estimated by the temperature distribution estimating part (704) with the temperature at the measurement point acquired by the communication part (701), and corrects the analysis model based on a collation result.