Refrigerator refrigeration abnormity detection method and device based on big data

Abstract

The invention provides a refrigerator refrigeration abnormity detection method and device based on big data. The method comprises the steps that maintenance record data corresponding to multiple times of maintenance conducted due to refrigeration abnormities of a plurality of refrigerators of a preset model are obtained; a compressor operation parameter, a refrigerating chamber temperature change parameter and a freezing chamber temperature change parameter of each day of the abnormal duration corresponding to each maintenance are calculated; the compressor operation parameters, the refrigerating chamber temperature change parameters and the freezing chamber temperature change parameters are input into a pre-trained state judgment model, and the refrigeration state corresponding to each day is obtained; the ratio of the number of days when the refrigeration state is abnormal refrigeration to the abnormal duration corresponding to the maintenance is calculated; an abnormal day number ratio threshold value corresponding to the refrigerator is determined; and when the refrigerator of the preset model is abnormal, whether refrigeration of the refrigerator is abnormal or not is judged according to the abnormal day number proportion threshold value. The accuracy of refrigeration abnormity judgment can be improved, and personnel maintenance can be provided in time.

Description

technical field [0001] One or more embodiments of this specification relate to the technical field of refrigeration detection of refrigerators, and in particular to a method and device for abnormality detection of refrigerator refrigeration based on big data. Background technique [0002] Refrigerators are essential household appliances in family life. During the refrigeration process, failures such as compressor not starting, system ice blockage, evaporator frost blockage, and refrigerant leakage may occur, resulting in abnormal cooling status of the refrigerator. From the maintenance records, it is found that there is a period of time between the abnormality of the refrigerator refrigeration and the impact on the use. Only when the refrigerator refrigeration has serious problems that affect the use, the user will take the initiative to report for repair. At this time, the life of the user has been greatly affected. and property are affected. Therefore, it is necessary to ...

AI Technical Summary

Problems solved by technology

[0003] At present, many schemes use refrigeration failure reminder equipment. This scheme can only give an alarm reminder when the refrigerator’s refrigeration function affects the use, and cannot remind the user to perform maintenance before the refrigerator’s refrigeration function affects the use.

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