A method and system for monitoring the status of a refrigerator

By dynamically adjusting the stability index of the model parameters, a load heat capacity and leakage coefficient model based on the recursive least squares method is constructed, which solves the problem of misjudgment of load and sealing performance in refrigerator condition monitoring and achieves high-precision and robust condition monitoring.

CN121720265BActive Publication Date: 2026-05-12DA PAN ELECTRIC APPLIANCE IND CO LTD
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Patent Information

Application Number
CN202610190187.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-02-10
Publication Date
2026-05-12
Estimated Expiration
2046-02-10

AI Technical Summary

Technical Problem

Existing refrigerator condition monitoring technologies struggle to accurately distinguish between temperature changes caused by increased load and cold air leakage caused by decreased sealing, resulting in a high rate of misjudgment in monitoring results. Furthermore, fixed-parameter algorithms struggle to balance convergence speed and anti-interference capabilities when faced with complex refrigerator operating conditions.

Method used

By introducing a stability index to dynamically adjust the forgetting factor of the load heat capacity model and the weighting coefficient of the heat leakage coefficient model, a load heat capacity and heat leakage coefficient model based on recursive least squares method is constructed, eliminating load heat flow and achieving independent and accurate monitoring of load and sealing performance.

Benefits of technology

It significantly improves the accuracy and anti-interference capability of refrigerator status monitoring, can suppress data fluctuation interference and quickly track load changes in steady state, and independently decouples load and sealing assessment to reduce the false judgment rate.

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Abstract

The present application relates to the technical field of automatic control, in particular to a state monitoring method and system for a refrigerator. The method comprises: obtaining internal and external temperature and refrigeration capacity data of the refrigerator, and calculating temperature fluctuation characteristics to obtain a stability index; constructing a load heat capacity model based on the least square method, dynamically adjusting a forgetting factor according to the stability index, and iteratively updating a load heat capacity estimation value; calculating a load heat flow using the load heat capacity estimation value, and subtracting the load heat flow from the refrigeration capacity data to obtain a net heat flow; determining a weighting coefficient according to the stability index, and iteratively updating a heat leakage coefficient model to obtain a heat leakage coefficient estimation value; and determining the load capacity and the sealing property of the refrigerator according to the two estimation values respectively. The present application improves the monitoring accuracy of the load capacity and the sealing property of the refrigerator by dynamically adjusting model parameters and decoupling heat flow.
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