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CN-115574535-B - Intelligent noise reduction method for refrigerator

CN115574535BCN 115574535 BCN115574535 BCN 115574535BCN-115574535-B

Abstract

The invention discloses an intelligent noise reduction method for a refrigerator, and relates to the technical field of refrigerator noise reduction. The working flow of the data analysis end comprises the steps of collecting refrigerator door opening time point data of two weeks from a user, carrying out door opening time point statistics on the refrigerator door opening time point data of the working days in the two weeks of the user according to 24 hours a day, finding out point clusters of all time points, finding out time periods where 90% of the points are located for each point cluster, respectively marking the time periods as time periods a1, a2 and an, analyzing the refrigerator door opening time point data of the non-working days of the user according to steps from S2 to S4 to obtain time periods b1, b2 and bn, and sending the door opening time period data to the refrigerator end for use. According to the method, the cloud data are utilized to analyze the refrigerator using habit of the user, and the rotating speed of the refrigerator compressor and the fan motor is reduced in a period of time when the probability of using the refrigerator by the user is high, so that the purposes of reducing the running noise of the refrigerator and increasing the comfort level are achieved.

Inventors

  • GAO DONGHUA

Assignees

  • 合肥美菱物联科技有限公司

Dates

Publication Date
20260508
Application Date
20221014

Claims (7)

  1. 1. The intelligent refrigerator noise reduction method relates to an intelligent refrigerator noise reduction system which comprises a refrigerator end and a data analysis end deployed at a cloud end, and is characterized in that: the workflow of the data analysis end is as follows: step S1, collecting refrigerator door opening time point data of two weeks from the beginning of a user; S2, counting the door opening time point of the refrigerator on working days within two weeks of a user according to 24 hours a day; step S3, finding out point clusters of all time points; step S4, finding out the time period in which 90% of points are located for each point cluster, and respectively marking the time period as a1, a2 and an; S5, analyzing the refrigerator door opening time point data of the non-workday of the user according to the steps from S2 to S4 to obtain a time period b1, a time period b2 and a time period bn; Step S6, if the time between the two adjacent time periods is less than 90 minutes, combining the two time periods into one time period; Step S7, sending the door opening time period data to a refrigerator end for use; and the refrigerator end acquires data of a door opening time period and reduces the running rotating speed of the compressor and the running rotating speed of the fan according to the time period.
  2. 2. The intelligent noise reduction method of a refrigerator according to claim 1, wherein in the step S1, the statistics of the refrigerator door opening time point data are analyzed according to two categories of working days and non-working days.
  3. 3. The intelligent noise reduction method for a refrigerator according to claim 1, wherein in the step S2, data of two weeks of working days is recorded in 24 hours and is accurate to seconds.
  4. 4. The intelligent noise reduction method for a refrigerator according to claim 1, wherein in the step S3, the point clusters of time points are several densely distributed time periods of all time points.
  5. 5. The intelligent noise reduction method for the refrigerator according to claim 1, wherein in the step S4, the time period for each point cluster to find 90% of the points is not more than eight, and if more than eight point clusters are included, the eight point clusters with the largest data are analyzed.
  6. 6. The intelligent noise reduction method of a refrigerator according to claim 1, wherein after the data analysis end analyzes the data of two weeks, the data analysis end obtains the data of a new day of using the refrigerator by a user, and discards the data of the latest day as a new data set, and obtains a new time period a1, a time period a2, a time period an, a time period b1, a time period b2, and a time period bn, and sends the new data set to the refrigerator end for use.
  7. 7. The intelligent noise reduction method for the refrigerator according to claim 1, wherein the refrigerator end obtains a time period a1, a time period a2, a time period an, a time period b1, a time period b2 and a time period bn, and the controller of the refrigerator end controls the compressor to reduce the operation speed and the fan to reduce the fan operation speed when the time period a1, the time period a2, the time period an, the time period b1, the time period b2 and the fan operation speed are controlled.

Description

Intelligent noise reduction method for refrigerator Technical Field The invention belongs to the technical field of refrigerator noise reduction, and particularly relates to an intelligent refrigerator noise reduction method. Background With the continuous advancement of national intelligent strategy, more and more internet appliances are in use. The internet appliance is characterized in that the running state data of the refrigerator can be sent to the cloud. At present, the operation data of the household appliances collected by the cloud end has a certain scale, and how to utilize the data and play the value of the data are problems facing the whole industry. With the continuous development of technology, the current refrigerator generally uses a variable frequency compressor as a core component for refrigerating the refrigerator. The variable frequency compressor can adjust the rotating speed according to the refrigerating requirement of the refrigerator, namely, when the refrigerating requirement of the refrigerator is large, the compressor is high in running speed and high in refrigerating speed, and the corresponding generated noise is larger. Conversely, when the refrigerating requirement of the refrigerator is small, the running speed of the compressor is low, and the refrigerating speed is low, so that the generated noise is smaller. The control method of the variable frequency fan used in the refrigerator is the same as that of the variable frequency compressor. Aiming at the characteristics of large rotating speed and large noise of the variable-frequency compressor and the variable-frequency fan, the human body infrared sensor and the noise sensor are added in the existing noise reduction technology. The human body infrared sensor detects whether a person exists near the refrigerator, and the noise sensor detects background noise. When people exist nearby the refrigerator and the background noise is small, the rotating speed of the compressor and the fan motor is reduced, so that the purposes of reducing the noise and increasing the comfort level are achieved; however, the noise reduction method in the technology is added with the human body infrared sensor and the noise sensor, so that the added refrigerator has high cost and is not beneficial to the market sales of products. Disclosure of Invention The invention aims to provide an intelligent noise reduction method for a refrigerator, which achieves the purpose of reducing the refrigerator operation noise felt by a user by utilizing refrigerator operation data stored in a cloud on the basis of not increasing cost and solves the problems of high operation noise and low use comfort of the existing refrigerator. In order to solve the technical problems, the invention is realized by the following technical scheme: The invention relates to an intelligent noise reduction method for a refrigerator, which comprises a refrigerator end and a data analysis end deployed at a cloud end, wherein the refrigerator end is used for storing data; the workflow of the data analysis end is as follows: step S1, collecting refrigerator door opening time point data of two weeks from the beginning of a user; S2, counting the door opening time point of the refrigerator on working days within two weeks of a user according to 24 hours a day; step S3, finding out point clusters of all time points; step S4, finding out the time period in which 90% of points are located for each point cluster, and respectively marking the time period as a1, a2 and an; S5, analyzing the refrigerator door opening time point data of the non-workday of the user according to the steps from S2 to S4 to obtain a time period b1, a time period b2 and a time period bn; Step S6, if the time between the two adjacent time periods is less than 90 minutes, combining the two time periods into one time period; Step S7, sending the door opening time period data to a refrigerator end for use; and the refrigerator end acquires data of a door opening time period and reduces the running rotating speed of the compressor and the running rotating speed of the fan according to the time period. As a preferable technical solution, in the step S1, the statistics analysis is performed on the door opening time point data of the refrigerator according to two categories of working days and non-working days. As a preferred embodiment, in the step S2, the data of two weeks of working days is recorded in 24 hours, and is accurate to seconds. As a preferred embodiment, in the step S3, the point clusters of the time points are several densely distributed time periods of all the time points. In the step S4, the time period for finding 90% of the points in each point cluster is not more than eight, and if more than eight point clusters are included, the eight point clusters with the largest data are analyzed. As a preferred technical scheme, after the data analysis end analyzes the data of two weeks, the data analysis end obtain