Predictive Placement Guidance for Chamber Cooling Efficiency
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Solution Overview
Problem
Efficient cooling of items in a chamber is challenging due to varying cooling conditions, making it difficult to determine optimal placement for efficient freezing or refrigeration.
Innovation Solution
An information processing device with a prediction section that forecasts how items cool based on thermal time constants, temperature information, physical models, and operational data, and an output section that provides placement proposals to optimize cooling times and stacking methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If items are simply placed in the chamber for cooling, then the storage process is simple, but the cooling efficiency is poor
Solution Approach 1:
The system automatically predicts cooling behavior and generates placement proposals without requiring manual intervention. The prediction section uses thermal time constants and physical models to self-determine optimal placement strategies, eliminating the need for complex manual placement management while improving cooling efficiency.
Solution Approach 2:
The patent replaces manual placement decision-making with an automated information processing system that uses thermal models and predictions. This substitution of mechanical/manual operations with computational analysis resolves the contradiction by providing efficient cooling guidance without increasing operational complexity.
2Measurement precision
If detailed physical models are used to predict cooling behavior, then prediction accuracy improves, but calculation complexity increases
Solution Approach 1:
The system uses thermal time constants as key parameters to simplify the prediction process. By focusing on critical thermal parameters rather than full-scale complex physical simulations, the system achieves accurate cooling predictions with reduced calculation complexity. The prediction section selectively applies physical models based on item characteristics, balancing accuracy and computational load.
3Measurement precision
If multiple temperature measurement devices are deployed in the chamber, then temperature monitoring accuracy improves, but device complexity and cost increase
Solution Approach 1:
The prediction section acts as an intermediary that uses thermal models and limited temperature measurements to infer temperatures at multiple positions. Rather than deploying numerous physical sensors, the system uses computational modeling to predict temperature distribution, reducing the number of required measurement devices while maintaining monitoring accuracy.
4Loss of time
If items are placed to optimize cooling time, then cooling speed improves, but placement determination becomes more complex
Solution Approach 1:
The system performs preliminary prediction of cooling behavior before items are placed in the chamber. By predicting how different placement configurations will affect cooling time in advance, the system provides guidance that reduces actual cooling time without requiring complex real-time optimization during the cooling process itself.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The device enables efficient placement of items in a chamber by predicting cooling behaviors and temperatures, reducing cooling times and improving stacking strategies, while minimizing calculation complexity and device usage.
Implementation Method 1
a prediction section predicting how a stored item cools in a chamber performing freezing or refrigerating
Implementation Method 2
predict how a stored item cools in the chamber using a thermal time constant of an item to be stored in the chamber
Implementation Method 3
predict the temperature at each position in the chamber further using information of heat emitted by a stored item already existing in the chamber
Data Source
AI summary
Placement of items to be stored is proposed according to how the items to be stored in a chamber performing freezing or refrigerating are cooled. An information processing device including: a prediction section that predicts how items to be stored in a chamber performing freezing or refrigerating are cooled; and an output section that outputs proposal information on the placement of the items to be stored in the chamber performing freezing or refrigerating based on how the items to be stored in the chamber are cooled as predicted by the prediction section.