Device of detecting abnormal state and method of detecting thereof
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Solution Overview
Problem
Existing systems struggle to efficiently determine and respond to abnormal states in electronic devices, such as refrigerators, due to limited information and lack of real-time monitoring, leading to potential failures and inefficient customer service.
Innovation Solution
A refrigerator equipped with multiple sensors and a communication unit that transmits operational data to a cloud server, which analyzes the data to detect abnormal states, and a monitoring server that provides proactive alerts and service schedules based on sensor information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensors and cloud server analysis are implemented to detect abnormal states, then diagnostic accuracy and reliability are improved, but device complexity and cost increase
Solution Approach 1:
The system divides the monitoring function into multiple independent sensors (temperature sensor 151, door sensor 152, compressor sensor 153, ice sensor 154, water sensor 155, defrost sensor 156) that each detect specific parameters. This segmentation allows the complex monitoring task to be distributed across multiple simple components, improving reliability through redundancy while managing complexity through functional separation.
Solution Approach 2:
The cloud server 200 acts as an intermediary that receives sensing information from the refrigerator 100, performs pattern matching analysis, and generates abnormal state information. This intermediary handles the complex data processing and analysis tasks externally, allowing the refrigerator itself to remain relatively simple while achieving high diagnostic accuracy through the cloud-based analysis system.
2Loss of time
If continuous monitoring and real-time data transmission are implemented, then response time to abnormal states is reduced, but energy consumption and data transmission overhead increase
Solution Approach 1:
The system transmits sensing information to the cloud server at predetermined time intervals rather than continuously. The communication unit 180 is configured to send data periodically, which reduces energy consumption compared to continuous transmission while still enabling timely detection of abnormal states through regular monitoring cycles.
Solution Approach 2:
The refrigerator's controller 150 automatically manages the monitoring and transmission process based on predetermined patterns. The system self-regulates when to transmit data based on time intervals and operational states, reducing the need for constant external intervention and optimizing energy usage by transmitting only when necessary according to the established pattern.
3Measurement precision
If comprehensive sensing information is collected and transmitted, then diagnostic precision is improved, but data transmission volume and processing load increase
Solution Approach 1:
The cloud server 200 extracts only the essential sensing information needed for pattern matching and abnormal state detection from the comprehensive data set. By taking out only the critical parameters required for diagnosis and storing/transmitting pattern information rather than all raw sensor data, the system achieves high diagnostic precision while minimizing data transmission overhead and processing requirements.
Data Source
AI summary
A refrigerator includes a temperature sensor; a door sensor; a compressor sensor; an ice sensor; a water sensor; and a defrost sensor. The refrigerator also includes a communication unit; a display unit; at least one processor; and at least one memory connected to the at least one processor and storing instructions that, when executed, perform operations including: sensing, through the plurality of sensors, sensing information related to the refrigerator; storing, in the at least one computer memory, (i) the sensing information, and (ii) time information; transmitting to at least one server, (i) the sensing information and the time information, and (ii) setting information for the refrigerating compartment or the freezer compartment; receiving information regarding an abnormal state of the refrigerator that is generated by a cloud server or a monitoring server based on the sensing information; and outputting display information related to the received information regarding the abnormal state.


