Refrigerator Temperature Control Based on Real-Time Usage Detection
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Solution Overview
Problem
Refrigerators consume excessive electrical energy during opening hours due to maintaining a lower temperature even when food and beverages are not being sold or consumed, leading to unnecessary energy usage.
Innovation Solution
A dynamic control method that adjusts the refrigerator's temperature based on real-time usage patterns, switching to a higher temperature mode when no usage is detected within predefined intervals, reducing energy consumption by aligning with actual customer behavior and store opening hours, including the introduction of an intermediate time interval for earlier switching to a higher temperature mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the refrigerator maintains a lower temperature during opening hours, then the food and beverages are ready for consumption when customers arrive, but the electrical energy consumption increases unnecessarily when no sales occur
Solution Approach 1:
The refrigerator control system dynamically adjusts the temperature setpoint based on real-time detection of door openings and usage patterns. Instead of maintaining a fixed low temperature during opening hours, the system adapts the temperature profile to actual customer behavior, cooling down only when usage is detected and allowing temperature to rise when no usage occurs, thereby resolving the contradiction between readiness and energy consumption
Solution Approach 2:
The system implements feedback mechanisms by monitoring door opening events and usage patterns in real-time. This feedback information is used to adjust the temperature control strategy, allowing the refrigerator to respond to actual customer needs rather than following a predetermined schedule, thus optimizing the balance between food readiness and energy efficiency
2Ease of operation
If a fixed timer schedule is used to adjust temperature during opening and closing hours, then the control is simple to implement, but it cannot adapt to variations in actual usage patterns and sale periods
Solution Approach 1:
The refrigerator control system performs self-learning by automatically monitoring and analyzing door opening patterns and usage behavior over time. The system autonomously adjusts its temperature control strategy based on detected usage patterns without requiring manual programming or intervention, thereby achieving both ease of operation and adaptability to varying customer behaviors
Solution Approach 2:
The system introduces an intermediate learning layer between the simple timer control and the complex usage patterns. This intermediary component detects and analyzes usage behavior, translating it into appropriate temperature control decisions, thus bridging the gap between simple implementation and high adaptability
Data Source
AI summary
The invention relates to a method for controlling a refrigerator. The method comprises the steps of establishing a time interval of a certain duration, a first use of the refrigerator starting a first time interval, starting a subsequent time interval based on the start of the first time interval, and subtracted a time difference. The subsequent time interval subtracted a time difference is being used for starting a cool-down period of the subsequent time interval. The invention also relates to a control unit for the refrigerator and to a refrigerator with such control unit.