CN-122015406-A - Refrigerator control method and device, refrigerator equipment and storage medium

CN122015406ACN 122015406 ACN122015406 ACN 122015406ACN-122015406-A

Abstract

The application relates to a refrigerator control method, a refrigerator control device, refrigerator equipment and a storage medium. The method comprises the steps of collecting multi-dimensional detection data, respectively generating corresponding freshness scores for the detection data of each dimension, fusing the multi-dimensional freshness scores to generate a freshness total score, improving the reliability of a freshness identification result compared with single sensor data, and regulating and controlling the operation mode of the refrigerator based on the freshness total score, so that the freshness detection result is combined with a freshness control means, and the problem that the prior art lacks a method for combining the freshness detection result with the freshness control means, and is difficult to meet the requirement of real-time and reliable monitoring of the freshness of food materials is solved.

Inventors

DENG YONGBING
TAN QINGSHENG
GONG RUI
GAO HAOXIAN
ZHANG JINGJING
ZHU YUFENG

Assignees

珠海格力电器股份有限公司

Dates

Publication Date: 20260512
Application Date: 20251226

Claims (11)

1. A method for controlling a refrigerator, the method comprising: Acquiring multi-source acquisition data of the refrigerator in a current acquisition period, wherein the multi-source acquisition data comprise detection data of multiple dimensions; generating freshness scores corresponding to different dimensions according to the detection data of different dimensions respectively; generating a freshness total score according to the freshness scores corresponding to different dimensions; Determining a target control mode of the refrigerator according to the freshness total score; And controlling the refrigerator according to the target control mode.
2. The method of controlling a refrigerator according to claim 1, wherein generating freshness scores corresponding to different dimensions based on the detection data of different dimensions, respectively, comprises: and generating a first freshness score corresponding to the spectrum dimension, a second freshness score corresponding to the weight dimension and a third freshness score corresponding to the smell dimension according to the spectrum detection data, the weight detection data and the smell detection data respectively.
3. The method of controlling a refrigerator according to claim 2, wherein generating a first freshness score corresponding to a spectral dimension based on the spectral detection data comprises: Determining target food material types corresponding to the spectrum detection data and condensation identification results of the food material surfaces according to the matching results between the spectrum detection data and the reference spectrum data corresponding to different food materials in a database; And determining a first freshness score corresponding to the spectrum dimension according to a matching result between the spectrum curve corresponding to the spectrum detection data and the spectrum curve of the target food material under different freshness.
4. The refrigerator control method of claim 3, wherein generating a second freshness score corresponding to a weight dimension based on weight detection data comprises: performing calibration processing on the weight detection data by using the condensation identification result to obtain a calibrated current detection weight; acquiring the last detection weight in the last acquisition period; When the current detected weight is greater than the last detected weight, taking the first freshness score as the second freshness score; And when the current detected weight is smaller than or equal to the last detected weight, generating a second freshness score corresponding to the weight dimension according to the weight change rate between the current detected weight and the last detected weight.
5. The method of controlling a refrigerator according to claim 4, wherein the generating a second freshness score corresponding to a weight dimension according to a weight change rate between the current detected weight and the last detected weight comprises: when the weight change rate is greater than or equal to a preset change rate, taking the first freshness score as the second freshness score; And when the weight change rate is smaller than a preset change rate, acquiring a previous freshness score corresponding to the weight dimension in a previous acquisition period, determining a corresponding score change amount according to a difference value between the weight change rate and the preset change rate, and determining a second freshness score according to a difference value between the previous freshness score and the score change amount.
6. The refrigerator control method of claim 3, wherein generating a freshness total score according to freshness scores corresponding to different dimensions comprises: Determining weight coefficients corresponding to different dimensions according to the first freshness score and the smell detection data; and carrying out weighted summation on the freshness scores corresponding to the dimensions according to the weight coefficients corresponding to the different dimensions to generate a freshness total score.
7. The refrigerator control method of claim 6, wherein determining weight coefficients corresponding to different dimensions from the first freshness score and the odor detection data comprises at least one of: When the first freshness score is larger than a first preset score and the target gas concentration in the smell detection data is smaller than the spoilage gas concentration, taking the default weight of the target food material type in different dimensions as a weight coefficient corresponding to different dimensions; When the first freshness score is smaller than or equal to a first preset score and the target gas concentration in the odor detection data is smaller than the spoilage gas concentration, taking the default weight of the target food material type in the weight dimension as a weight coefficient corresponding to the weight dimension, taking the difference value between the default weight of the target food material type in the spectrum dimension and the first adjustment amount as a weight coefficient corresponding to the spectrum dimension, and taking the sum of the default weight of the target food material type in the odor dimension and the first adjustment amount as a weight coefficient corresponding to the odor dimension; When the first freshness score is larger than a first preset score and the target gas concentration in the odor detection data is larger than or equal to the spoilage gas concentration, taking the difference value between the default weight of the target food material weight in the spectrum dimension and the second adjustment amount as a weight coefficient corresponding to the spectrum dimension, taking the difference value between the default weight of the target food material type in the weight dimension and the first adjustment amount as a weight coefficient corresponding to the weight dimension, and taking the sum of the default weight of the target food material type in the odor dimension and the third adjustment amount as a weight coefficient corresponding to the odor dimension; when the first freshness score is smaller than or equal to a first preset score and the target gas concentration in the smell detection data is larger than or equal to the spoilage gas concentration, taking the default weight of the target food material weight in the spectrum dimension as a weight coefficient corresponding to the spectrum dimension, taking the difference value between the default weight of the target food material type in the weight dimension and the fourth adjustment amount as a weight coefficient corresponding to the weight dimension, and taking the sum of the default weight of the target food material type in the smell dimension and the fourth adjustment amount as a weight coefficient corresponding to the smell dimension.
8. The refrigerator control method according to claim 1, wherein determining a target control mode of the refrigerator according to the freshness total score includes: When the freshness total score is smaller than or equal to the first total score, taking a smell-removing and humidifying mode as a target control mode, wherein the smell-removing and humidifying mode is used for starting a smell removing system, regulating storage humidity to a preset humidity and outputting food deterioration information, and the food deterioration information comprises food nouns and deterioration states; And when the freshness total score is larger than the first total score and smaller than or equal to the second total score, taking a cooling and dehumidifying mode as a target control mode, wherein the cooling and dehumidifying mode is used for reducing the refrigerating temperature and dehumidifying according to a preset temperature control variable, and outputting food freshness information, and the food freshness information comprises food nouns, freshness total scores and food eating suggestions.
9. A refrigerator control apparatus, the apparatus comprising: The acquisition module is used for acquiring multi-source acquisition data of the refrigerator in a current acquisition period, wherein the multi-source acquisition data comprise detection data of multiple dimensions; The scoring module is used for generating freshness scores corresponding to different dimensions according to the detection data of the different dimensions respectively; The scoring module is also used for generating a freshness total score according to the freshness scores corresponding to the different dimensions; the processing module is used for determining a target control mode of the refrigerator according to the freshness total score; and the control module is used for controlling the refrigerator according to the target control mode.
10. A refrigerator apparatus, characterized in that a plurality of spectral cameras, weight sensors, an odor sensor array and the refrigerator control device according to claim 9 are provided in a storage compartment of the refrigerator apparatus.
11. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the refrigerator control method according to any one of claims 1 to 8.

Description

Refrigerator control method and device, refrigerator equipment and storage medium Technical Field The present application relates to the field of refrigerator control, and in particular, to a method and apparatus for controlling a refrigerator, a refrigerator device, and a storage medium. Background With the increasingly prominent problems of food waste and food safety, the refrigerator food freshness detection technology becomes an important development direction of the intelligent household appliance industry. The current mainstream technology relies on a single sensor scheme, the single sensor scheme does not consider the characteristic dimension difference which is characterized when the freshness of different food materials changes, and meanwhile, a method for combining a freshness detection result with a freshness control means is lacking, so that the current scheme is difficult to meet the real-time and reliable monitoring requirement on the freshness of the food materials. Disclosure of Invention The application provides a refrigerator control method, a refrigerator control device, refrigerator equipment and a storage medium, which are used for solving the problem that the prior art lacks a method for combining a freshness detection result with a freshness control means, and is difficult to meet the requirement of real-time and reliable monitoring of the freshness of food materials. In a first aspect, the present application provides a refrigerator control method, the method comprising: Acquiring multi-source acquisition data of the refrigerator in a current acquisition period, wherein the multi-source acquisition data comprise detection data of multiple dimensions; generating freshness scores corresponding to different dimensions according to the detection data of different dimensions respectively; generating a freshness total score according to the freshness scores corresponding to different dimensions; Determining a target control mode of the refrigerator according to the freshness total score; And controlling the refrigerator according to the target control mode. Optionally, the generating freshness scores corresponding to different dimensions according to the detection data of different dimensions includes: and generating a first freshness score corresponding to the spectrum dimension, a second freshness score corresponding to the weight dimension and a third freshness score corresponding to the smell dimension according to the spectrum detection data, the weight detection data and the smell detection data respectively. Optionally, generating a first freshness score corresponding to the spectrum dimension according to the spectrum detection data includes: Determining target food material types corresponding to the spectrum detection data and condensation identification results of the food material surfaces according to the matching results between the spectrum detection data and the reference spectrum data corresponding to different food materials in a database; And determining a first freshness score corresponding to the spectrum dimension according to a matching result between the spectrum curve corresponding to the spectrum detection data and the spectrum curve of the target food material under different freshness. Optionally, generating a second freshness score corresponding to the weight dimension according to the weight detection data includes: performing calibration processing on the weight detection data by using the condensation identification result to obtain a calibrated current detection weight; acquiring the last detection weight in the last acquisition period; When the current detected weight is greater than the last detected weight, taking the first freshness score as the second freshness score; And when the current detected weight is smaller than or equal to the last detected weight, generating a second freshness score corresponding to the weight dimension according to the weight change rate between the current detected weight and the last detected weight. Optionally, the generating a second freshness score corresponding to a weight dimension according to a weight change rate between the current detected weight and the last detected weight includes: when the weight change rate is greater than or equal to a preset change rate, taking the first freshness score as the second freshness score; And when the weight change rate is smaller than a preset change rate, acquiring a previous freshness score corresponding to the weight dimension in a previous acquisition period, determining a corresponding score change amount according to a difference value between the weight change rate and the preset change rate, and determining a second freshness score according to a difference value between the previous freshness score and the score change amount. Optionally, generating the total freshness score according to the freshness scores corresponding to the different dimensions includes: Determini