Artificial intelligent refrigerator and system and method for controlling temperature thereof
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional artificial intelligent refrigerators struggle to accurately determine the type and freshness of food items based on irregular usage patterns and temperature changes, leading to suboptimal storage conditions.
Innovation Solution
An artificial intelligent refrigerator system that includes a temperature information receiver, arrival time information receiver, and a temperature controller using a neural network model to set a target cooling temperature based on external temperature information and item-specific data, ensuring optimal storage conditions for food items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simple door opening or temperature change monitoring is used, then the device complexity is reduced, but the measurement precision of food kind and freshness level determination deteriorates
Solution Approach 1:
The system performs preliminary actions by receiving external temperature information and expected arrival time before the food item is stored in the refrigerator. The AI processor uses this advance information to estimate temperature changes and determine food characteristics, enabling accurate measurement without complex monitoring equipment during storage.
Solution Approach 2:
The AI processor acts as an intermediary that receives simple inputs (door opening events, temperature changes, external temperature, arrival time) and transforms them into accurate determinations of food kind and freshness level. This intermediary processing layer enables precise measurement without requiring complex direct sensing of the food items themselves.
2Device complexity
If conventional temperature control methods are used, then the device complexity is low, but the reliability of maintaining optimal storage conditions deteriorates
Solution Approach 1:
The temperature controller sets the target cooling temperature in advance before the food item is stored in the cold storage chamber. By using external temperature information and expected arrival time to estimate temperature changes, the system proactively adjusts storage conditions to ensure reliability without requiring complex real-time control mechanisms.
Solution Approach 2:
The system incorporates feedback by using AI processing of temperature change data and external temperature information to continuously optimize the target cooling temperature settings. This feedback mechanism ensures reliable maintenance of optimal storage conditions while keeping the control system relatively simple.
3Measurement precision
If AI processing with neural network model is implemented, then the measurement precision of temperature change estimation is improved, but the device complexity increases
Solution Approach 1:
The system uses a neural network model (AI processor) that can be implemented as software or firmware rather than complex hardware. This copying of intelligence through programmable logic achieves high measurement precision for temperature change estimation while avoiding the need for complex physical sensing and processing hardware.
Data Source
AI summary
Disclosed is an artificial intelligent refrigerator including a cold-storage chamber; a temperature information receiver for receiving external temperature information of a location in which a purchased item is located; an arrival time information receiver for receiving expected arrival time information to be taken until the item is stored in the cold-storage chamber; and a temperature controller for setting in advance a target cooling temperature of the cold-storage chamber for the item based on an artificial intelligence (AI) processor in which a neural network model is mounted before the item is stored in the cold-storage chamber. Here, the temperature controller inputs the external temperature information and the expected arrival time information to the neural network model to estimate a temperature change of the item and sets in advance a target cooling temperature of the cold-storage chamber based on an estimated temperature change of the item.