Refrigerator and cloud server detecting abnormal state and method thereof
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Solution Overview
Problem
Existing methods for detecting abnormal states in home appliances, such as refrigerators, are limited in determining the cause of malfunctions and do not provide real-time or predictive maintenance, leading to potential failures and inefficient customer service.
Innovation Solution
A device equipped with sensors and a communication unit that continuously transmits operation information to a cloud server, which compares pattern information with real-time data to determine abnormal states, allowing for proactive monitoring and notification of issues before they cause failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If basic information is transmitted from refrigerator to portable terminal, then information transmission is achieved, but abnormal state determination capability is insufficient
Solution Approach 1:
The system segments the determination process into two parts: the refrigerator collects and transmits multiple types of operational data (temperature, humidity, door opening frequency, compressor operation), and the portable terminal performs the abnormal state determination by comparing this data against normal ranges. This segmentation allows comprehensive data collection while keeping the determination logic in the terminal, resolving the contradiction between information transmission and determination capability.
Solution Approach 2:
The portable terminal acts as an intermediary between the refrigerator and the user. It receives basic information from the refrigerator, processes this information by comparing it with normal operational ranges, and then presents the determined abnormal state to the user. This intermediary role enables the system to achieve both information transmission and accurate abnormal state determination.
2Ease of operation
If user manually checks refrigerator state through portable terminal, then information access is enabled, but real-time abnormal state detection is not achieved
Solution Approach 1:
The system performs preliminary determination of abnormal states by continuously comparing operational data against normal ranges. Instead of waiting for manual user checks, the portable terminal proactively determines abnormal states and can notify users in advance, thereby reducing response time while maintaining ease of operation through automatic monitoring.
Solution Approach 2:
The system implements continuous feedback by automatically comparing operational data with normal ranges and determining abnormal states. This feedback mechanism enables real-time detection without requiring manual user intervention, thus reducing response time while keeping the system easy to operate through automated processes.
3Measurement precision
If comprehensive operational data is collected and transmitted, then determination accuracy is improved, but data transmission volume and processing complexity increase
Solution Approach 1:
The system extracts only the essential operational parameters needed for abnormal state determination (temperature, humidity, door opening frequency, compressor operation) and transmits these specific data points. By selecting and transmitting only the most relevant data, the system achieves accurate determination while minimizing data transmission volume and processing complexity.
Solution Approach 2:
The system transmits a partial set of operational data that is sufficient for determining abnormal states, rather than transmitting all possible operational information. This partial action approach achieves the necessary determination accuracy while keeping data transmission and processing complexity manageable.
Data Source
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AI summary
A device and a method of detecting an abnormal state of a refrigerator (100) including a plurality of sensors, a communication unit that transmits sensing information sensed by the sensors to a cloud server (200), and a controller that controls information on the abnormal state provided by the cloud server or a monitoring server (400) to be outputted to a display.