Device of detecting abnormal state and method of detecting thereof
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Solution Overview
Problem
Existing electronic devices, such as refrigerators, face challenges in determining abnormal states due to complex operational environments, leading to potential malfunctions, which can be difficult for users to diagnose and resolve effectively.
Innovation Solution
A system comprising sensors (temperature, door, compressor, ice, water, and defrost sensors) in a refrigerator that transmit data to a cloud server for analysis, enabling proactive identification of abnormal states before failures occur, and providing user notifications and service schedules for resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to monitor refrigerator operation, then detection accuracy of abnormal states is improved, but device complexity increases
Solution Approach 1:
The monitoring system is segmented into multiple independent sensors (temperature sensor, door sensor, compressor sensor, ice sensor, water sensor, defrost sensor), each responsible for detecting specific parameters. This segmentation allows high detection accuracy for each parameter while keeping individual sensor complexity low, and the server consolidates the data processing.
2Reliability
If sensor data is transmitted to cloud server for analysis, then abnormal state detection capability is improved, but loss of time in data transmission and processing occurs
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing sensor data locally in the refrigerator's memory before transmission. This preliminary data preparation ensures that when data is transmitted to the cloud server, the analysis can begin immediately upon receipt, minimizing processing delays and enabling faster abnormal state detection.
3Loss of information
If comprehensive sensing information is collected and transmitted, then diagnostic information accuracy is improved, but quantity of data transmitted increases
Solution Approach 1:
The system extracts only the essential sensing information related to abnormal states from the comprehensive sensor data. The server identifies and extracts key diagnostic parameters (temperature deviations, door opening patterns, compressor operation anomalies, ice maker failures, water pressure issues, defrost problems) from the raw sensor data, transmitting only this extracted diagnostic information rather than all raw sensor readings, thus maintaining diagnostic accuracy while reducing data quantity.
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.