CN109323498B - Control method of refrigeration equipment, refrigeration equipment and cloud server - Google Patents

Control method of refrigeration equipment, refrigeration equipment and cloud server Download PDF

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Publication number
CN109323498B
CN109323498B CN201710645179.XA CN201710645179A CN109323498B CN 109323498 B CN109323498 B CN 109323498B CN 201710645179 A CN201710645179 A CN 201710645179A CN 109323498 B CN109323498 B CN 109323498B
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noise
refrigeration
refrigeration equipment
user
mode
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CN109323498A (en
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W·肯特纳
S·温纳
夏必聪
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BSH Electrical Appliances Jiangsu Co Ltd
BSH Hausgeraete GmbH
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BSH Electrical Appliances Jiangsu Co Ltd
BSH Hausgeraete GmbH
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D11/00—Self-contained movable devices, e.g. domestic refrigerators
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D29/00—Arrangement or mounting of control or safety devices
    • F25D29/003—Arrangement or mounting of control or safety devices for movable devices
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
    • F25D29/00—Arrangement or mounting of control or safety devices
    • F25D29/005—Mounting of control devices

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Thermal Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Devices That Are Associated With Refrigeration Equipment (AREA)
  • Air Conditioning Control Device (AREA)
  • Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)

Abstract

A control method of refrigeration equipment comprises the steps that the refrigeration equipment judges whether a user is sensitive to noise of the refrigeration equipment; and the refrigeration equipment adjusts the operation mode of the refrigeration equipment according to the judgment result, wherein the operation mode is related to the noise level generated by the refrigeration equipment. By adopting the scheme, the user can select the intelligent adjusting mode of the refrigerator, so that the user can experience lower noise level when being sensitive to the noise of the refrigerator.

Description

Control method of refrigeration equipment, refrigeration equipment and cloud server
Technical Field
The invention relates to the technical field of household appliances, in particular to a control method of refrigeration equipment, the refrigeration equipment and a cloud server.
Background
Along with the improvement of the living standard of people, more and more attention is paid to the level of the home environment, and low-noise household appliances can undoubtedly win the favor of more and more customers. Refrigerators are important components of household appliances. The refrigerator can produce a large amount of noises in the refrigerating process, and the living environment of people is influenced.
There are home appliances that are labeled or declared to operate with low noise in existing products, but differences based on each appliance and current noise measurement standards are not applicable to all consumers' living or kitchen environments, and thus different consumers experience home appliance noise, such as refrigerator refrigeration noise differently. In the prior art, various modes are used for solving the noise level of the refrigerator during working; in addition to measures such as decoupling of the fan device, use of an inverter compressor, etc., the refrigerator is operated in a low noise mode at night by providing a light source sensor on the refrigerator.
In the prior art, there have been some methods for solving noise. Patent CN105222513A discloses that the noise of the refrigerator can be adjusted correspondingly according to the time periods of morning and evening, so as to improve the experience of the user. Patent CN1216263C discloses that by providing a light brightness/voltage conversion device on a refrigerator, the operating state of a compressor of the refrigerator can be changed according to the light brightness of the environment around the refrigerator.
However, the prior art cannot intelligently adjust the operation mode of the refrigerator according to the feeling degree of the noise of people.
Disclosure of Invention
The embodiment of the invention solves the problem of how to intelligently adjust the operation mode of the refrigeration equipment, thereby improving the sensitivity of people to the noise of the refrigeration equipment.
In order to solve the above problems, the present invention provides a method for controlling a refrigeration apparatus, including the steps of the refrigeration apparatus determining whether a user is sensitive to noise of the refrigeration apparatus; and the refrigeration equipment adjusts the operation mode of the refrigeration equipment according to the judgment result, wherein the operation mode is related to the noise level generated by the refrigeration equipment. Wherein an operational mode of a component associated with generating noise is adjusted, wherein the component comprises at least one of: compressor, fan, air door, valve, mechanical relay, evacuation equipment.
Preferably, the determining whether the user is sensitive to the noise of the refrigeration equipment includes obtaining an operating parameter associated with the generated noise of the first appliance interconnected therewith, and determining that the user is sensitive to the noise of the refrigeration equipment when the operating parameter is lower than a preset value.
Preferably, the judging whether the user is sensitive to the noise of the refrigeration equipment includes acquiring an environmental noise value, and determining that the user is sensitive to the noise of the refrigeration equipment when the environmental noise value is lower than a preset value.
Preferably, the operation mode of the refrigeration equipment is adjusted according to the judgment result, wherein the operation mode of the refrigeration equipment is adjusted to be a low-noise mode if the refrigeration equipment determines that the user is sensitive to noise; otherwise, the operation is adjusted to the normal mode.
The method also comprises the step that the refrigeration equipment judges the sensitivity factor of a user to the noise of the refrigeration equipment. Wherein the sensitivity factor comprises an operating parameter associated with noise generated by a first appliance interconnected to the refrigeration appliance, or an ambient noise level of the refrigeration appliance. Preferably, the operating parameter of the first household appliance interconnected with the refrigeration equipment, which is associated with the generated noise, comprises the fan speed of a range hood interconnected with the refrigeration equipment.
Preferably, the incidence relation between the sensitivity factor of a user to the noise of the refrigeration equipment and the operation mode of the refrigeration equipment is preset; adjusting the operation mode of the refrigeration equipment according to the sensitivity factor of the user to the noise comprises adjusting the refrigeration equipment to be in a corresponding operation mode according to the incidence relation.
Preferably, the operation mode of the refrigeration equipment comprises a low noise mode and a normal mode; when the sensitivity factor exceeds a preset value, the refrigeration equipment operates in a normal mode; otherwise, the operation is in a low noise mode.
Preferably, before the refrigeration equipment judges whether the user is sensitive to the noise of the refrigeration equipment, the refrigeration equipment further comprises a sensor for detecting that the user is in a preset range.
The invention also provides a refrigeration device comprising a control module for executing the method.
The invention also provides a control method of the refrigeration equipment, which comprises the steps that the cloud server receives the data source and judges whether a user is sensitive to the noise of the refrigeration equipment or not according to the data source; and the cloud server generates a control instruction for adjusting the operation mode of the refrigeration equipment according to the judgment result and sends the control instruction to the refrigeration equipment, wherein the operation mode is associated with the noise level generated by the refrigeration equipment. The data source includes at least one of: the data that the user set up/input through refrigeration plant's manual, the data of refrigeration plant's annex sensor perception, the operation of refrigeration plant self data that present, the operation data of other household appliances of interconnecting with refrigeration plant.
Preferably, the cloud server judges whether the user is sensitive to the noise of the refrigeration equipment according to the data source, and the cloud server analyzes the behavior habit of the user according to the data source and judges whether the user is sensitive to the noise according to the behavior habit of the user.
Preferably, the user behavior habits include a time period during which the user is at home, during which the user is determined to be sensitive to noise.
Preferably, the cloud server determines that the user is sensitive to noise, and generates a control instruction for adjusting the refrigeration equipment to be in a low-noise mode; otherwise, the control instruction is the control instruction of the normal mode.
The method further comprises the step that the cloud server judges the sensitivity factor of the user to the noise of the refrigeration equipment. Wherein the sensitivity factor comprises an operating parameter related to noise of other household appliances interconnected with the refrigeration equipment, or a noise value of an environment surrounding the refrigeration equipment. The operating parameters of other household appliances interconnected with the refrigeration equipment and associated with the generated noise comprise the fan rotating speed of the range hood interconnected with the refrigeration equipment.
Preferably, the incidence relation between the sensitivity factor of a user to the noise of the refrigeration equipment and the working mode of the refrigeration equipment is preset; the cloud server generates a control instruction for adjusting the working mode of the refrigeration equipment according to the judgment result, wherein the cloud server acquires the sensitivity factor, looks up the working mode corresponding to the refrigeration equipment according to the association table, and generates the control instruction for adjusting the working mode of the refrigeration equipment.
The invention also provides a cloud server which comprises a processing module and is used for executing the method.
By adopting the scheme, the user can select the intelligent adjusting mode of the refrigerator, so that the user can experience lower noise level when being sensitive to the noise of the refrigerator. And the operation mode of the refrigerator can be dynamically adjusted, namely, the operation mode is adjusted to be the corresponding operation mode according to the sensitivity of the user to the noise of the refrigerator, so that the perception of the user to the noise of the refrigerator is reduced. At the same time, the method can be continuously learned and upgraded based on the needs of individual consumers of big data. In addition to such direct user experience advantages, damping materials and the like for reducing noise can be saved, thereby reducing costs.
Drawings
FIG. 1 is a flow chart of a method of controlling a refrigeration unit in accordance with an embodiment of the present invention;
FIG. 2 is a detailed flow chart of a control method of a refrigeration device in an embodiment of the present invention;
fig. 3 is a network connection block diagram of a home device in an embodiment of the present invention;
fig. 4 is a flowchart of controlling the operation mode of the refrigeration equipment through the internet of things according to the embodiment of the invention;
FIG. 5 is a flow chart of an embodiment of the present invention for controlling the operational mode of a refrigeration unit based on ambient noise levels;
FIG. 6 is a block diagram showing the structure of a refrigerator according to an embodiment of the present invention;
fig. 7 is a flowchart of a cloud server controlling an operation mode of a refrigeration apparatus according to an embodiment of the present invention.
Detailed Description
Household appliances such as a refrigerator, a range hood, an induction cooker and the like are placed in the kitchen, the range hood and the refrigerator are both in an operating state at the moment, and the range hood and the refrigerator can be in wireless communication. Both the range hood and the refrigerator in operation generate different degrees of noise. Generally, the components generating noise in the range hood are mainly a fan and the like, the decibel value of the noise is related to the rotating speed of the fan, and the larger the rotating speed is, the higher the decibel is. The components of the refrigerator that mainly generate noise include a compressor, a fan, a vane, a valve, a mechanical relay, and the like.
In order to reduce the perception degree of refrigerator noise by a refrigerator user, the working mode of the refrigerator can be intelligently adjusted by detecting the environment around the refrigerator. Specifically, the method can be implemented by the following method, which is combined with fig. 1 and includes:
s101, judging whether a user is sensitive to noise of the refrigeration equipment by the refrigeration equipment; there are various ways to determine whether a user is sensitive to noise from a refrigeration appliance, such as a refrigerator. Preferably, the working mode of the household appliance such as a range hood interconnected with the internet of things can be acquired by the internet of things, or whether the refrigerator is sensitive to noise is judged by detecting the noise condition of the surrounding environment through a noise sensing part and the like.
S102, the refrigeration equipment adjusts the operation mode of the refrigeration equipment according to the judgment result, and the operation mode is related to the noise level generated by the refrigeration equipment. The adjustment mode comprises static adjustment and dynamic adjustment. The static adjustment is a preset of the operating mode of the refrigerator, such as the refrigerator including a low noise mode of operation and a normal mode of operation. And adjusting the mode to a corresponding mode according to different judgment results during judgment. Of course, the number of the operation modes is not limited in the present scheme. The dynamic adjustment is to preset the incidence relation between the sensitivity factor and the operation mode, and adjust the refrigerator into different operation modes according to different sensitivity degrees.
Details of its implementation are described in detail below. Referring to fig. 2, first, the refrigerator collects data in various ways and determines whether the user is around the refrigerator or in the same space with the refrigerator. Secondly, when the user is around the refrigerator, whether the user is sensitive to the noise of the refrigerator is continuously judged, and the operation mode of the refrigerator is adjusted according to the judgment result. The refrigerator can set a plurality of operation modes according to different requirements, and can dynamically adjust the operation modes according to different conditions. Preferably, when the refrigerator includes two modes, i.e., a low noise mode and a normal operation mode, and it is determined that the user is sensitive to noise, the low noise operation mode is adjusted; otherwise, the normal operation mode is adjusted.
The data sources of the above-mentioned data gathering through the refrigerator include data manually set/input by the user in the refrigerator, such as personal information and work and rest schedules of the user or family members thereof, and the placement position of the refrigerator, such as a living room or a kitchen. Secondly, the data presented by the operation of the refrigerator itself includes the current time and date presented by the refrigerator, the last operation time of the related function, such as the door opening time, the current operation state of the refrigerator, the temperature and humidity in the refrigerator, and the like. The data sources also include relevant data gathered by additional sensors on the refrigerator, where the additional sensors may be microphones, distance sensors, and the like. Wherein the microphone may capture a noise level around an environment in which the refrigerator is located, and the distance sensor may detect a distance between a person and the refrigerator. In addition, the running data of other household appliances can be acquired through other household appliance devices interconnected with the household appliance device. The data can be analyzed through big data to form user behavior habit data which are used for judging whether the user is around the refrigerator or whether the user is sensitive to noise or not.
Optionally, the operation mode of the refrigerator can be adjusted by judging the sensitivity of the user to noise. Specifically, the sensitivity factor includes the operation parameters of other household appliances such as a range hood acquired by using the internet of things, or the noise condition of the surrounding environment of the refrigerator acquired by using a sensor.
Various household appliances can be interconnected by utilizing the Internet of things, so that required information can be obtained. Fig. 3 shows a network structure diagram of a household appliance, in which a refrigerator 11, a mobile terminal 13, other household appliances and the like are connected with each other in a wireless manner, such as WiFi, bluetooth, zigbee and the like, wherein the household appliances include a range hood 12, an oven, a kitchen range and the like. These home appliances have wireless communication modules, and communication can be achieved by connecting the router 15 or by other means. The mobile terminal 13 may control these home appliances through the installed application APP. The server may be a cloud server 14 or the like.
Specifically, the method for adjusting the operation mode of the refrigerator 11 by using the aforementioned home appliance interconnection mode includes, with reference to fig. 4:
s401, a refrigeration device, such as a refrigerator 11, acquires operating parameters of a first household appliance, such as a range hood, interconnected with the refrigeration device in a wireless communication mode;
s402 adjusts an operation mode of the refrigerator 11 according to the operation parameter of the range hood, the operation mode being associated with a noise level generated by the refrigerator 11.
For example, the operating state data of the kitchen appliance, such as the operating state of the range hood 12, is obtained through the internet of things. When the refrigerator 11 and the range hood 12 are placed in a space and the range hood is running at the maximum power rotating speed, the refrigerator 11 obtains the running mode of the range hood 12 at the moment, and the refrigerator is adjusted to run in a refrigerating mode; among them, the components generating noise in the hood 12 include a motor, a fan, and the like. Correspondingly, the operating parameters of the range hood can also be the working power of the motor, the rotating speed of the fan and the like. Through the control mode, the user can not obviously feel the noise of the refrigerator, and the experience of using the refrigerator is improved.
Preferably, the refrigeration efficiency of the refrigerator can be dynamically adjusted according to different operation parameter levels. The incidence relation between the operation mode of the refrigerator 11 and the operation parameters of relevant parts of the range hood 12 can be preset; the refrigerator 11 can dynamically adjust its operation mode according to the association relationship. For example, the operation mode of the refrigerator is divided into 5 modes according to the power of the compressor, and correspondingly, the operation parameter of the range hood is also divided into 5 grades, wherein the corresponding relation satisfies the condition that the smaller the operation parameter of the range hood is, the smaller the generated noise is, and the smaller the noise generated by the corresponding operation mode of the refrigerator is. During actual work, the refrigerator adjusts the refrigerator to be in a corresponding operation mode according to the obtained operation parameters of the range hood. Therefore, when the noise condition of the surrounding environment is serious, the sensitivity of the user to the noise is low, and the refrigerator can be adjusted to a refrigeration mode, so that the perception of the user to the noise of the refrigerator can be effectively improved.
Preferably, when the operation mode of the refrigerator 11 includes a low noise mode and a normal cooling mode; when the operation parameter of the range hood 12 is greater than or equal to the preset value, the refrigerator 11 operates in a normal mode; when the operation parameter of the range hood 12 is less than the preset threshold value, the refrigerator 11 is operated in a low noise mode. For example, when the operating parameter of the range hood is the fan rotation speed, the corresponding preset value is a critical value of the fan rotation speed, and so on. Of course, the number of the operation modes of the refrigerator may be set according to practical situations, and is not limited herein. Through the control mode, the user can not obviously feel the noise of the refrigerator, and the experience of using the refrigerator is improved.
Preferably, using the above method, the refrigerator is required to establish a connection with other home appliances. The refrigerator may determine whether to establish a connection therewith according to a determination of the distance thereof from other home appliances. If the distance between the refrigerator and the range hood is acquired, when the distance is judged to be not larger than the corresponding preset value, connection with the range hood is established.
In addition, with the help of the internet of things, the refrigerator can judge whether a user is at home or not, even judge the number of the user through the number of networked devices in the same local area network or the connection condition of other household appliances.
Optionally, the operation mode of the refrigerator can be adjusted by using the detection condition of a noise sensing module (such as a microphone) on the refrigerator. The method for adjusting the mode of the refrigerator using the detection of noise by the sensing device, with reference to fig. 5, includes:
s501, a refrigeration device such as a refrigerator obtains an environment noise value through a microphone and the like;
s502 adjusts an operation mode of the refrigerator according to the noise value, the operation mode being associated with a level of noise generated from the refrigerator.
Specifically, the sound sensor can detect the noise condition of the refrigerator within a certain range, and adjust the operation mode of the refrigerator according to the detection result. The microphone may capture the noise level around the environment in which the refrigerator is located. When the noise level exceeds a certain limit for a certain time, the refrigerator can be operated in its cooling mode, while the user may not be disturbed during that time period. In other cases, the microphone captures a low level of noise, and the refrigerator is preferably operated in a low noise mode, so as to reduce the user's sensitivity to the noise of operation of the refrigerator. Of course, this low noise capture may mean that no one is present at home. At this time, it is possible to judge whether or not a person is present using the aforementioned user data, refrigerator data, and the like, or whether or not a person is present in the vicinity of the refrigerator by a sensor.
Similarly, the refrigeration mode of the refrigerator can be dynamically adjusted according to different noise value levels. Preferably, the correlation between the operation mode of the refrigerator and the detected ambient noise value is preset, and the refrigerator dynamically adjusts the operation mode according to the correlation. For example, the operation mode of the refrigerator is divided into 5 modes according to the power of the compressor thereof, and correspondingly, the detected noise decibel is divided into 5 levels, wherein such a correspondence satisfies a condition that the smaller the ambient noise decibel is, the smaller the noise generated by the corresponding operation mode of the refrigerator is. During actual work, the refrigerator adjusts the refrigerator to be in a corresponding operation mode according to the detected environmental noise value.
Preferably, when the operation mode of the refrigerator includes a low noise mode and a normal refrigeration mode, when the environmental noise value is greater than or equal to a preset value, the refrigerator operates in the normal mode; otherwise, the refrigerator operates in a low noise mode.
Preferably, in order to eliminate the interference sound source, when the ambient noise value is greater than or equal to a preset value, the duration of the ambient noise is determined, and if the duration exceeds a preset time duration threshold, the refrigerator operates in a normal mode. Wherein the preset time duration threshold is set by a user or is obtained according to big data analysis.
The above-described method is applicable to the following refrigerator. Fig. 6 is a main functional framework diagram of the refrigerator 11, and the refrigerator 11 includes a control module 1101, and a noise generation module 1102, a wireless communication module 1103, and a noise perception module 1104 connected thereto, in addition to basic components. The noise generating module 1102 may be a compressor, a fan, a damper, a valve, a mechanical relay, a vacuum device, etc. The control module 1101 can control the operation of the noise generation module 1102 by data of the wireless communication module 1103 or the noise perception module 1104. The wireless communication module 1103 and the noise sensing module 1104 may be provided at the same time, or one of them may be selected.
Similarly, the above method may be executed in the cloud.
As shown in fig. 7, the steps of implementing the method by using the cloud server include,
s701, the cloud server receives a data source and judges whether a user is sensitive to noise of the refrigerator or not according to the data source; the data source includes the information from the daily use of the refrigerator, the information input by the user through the refrigerator, the information obtained by the additional sensor of the refrigerator, and the like, which are described above.
S702, generating a control instruction for adjusting the operation mode of the refrigerator according to the judgment result, and sending the control instruction to the refrigerator, wherein the operation mode is related to the noise level generated by the refrigerator.
Preferably, the cloud server can analyze the user behavior habit according to the data source and judge whether the user is sensitive to noise according to the user behavior habit. When the cloud server determines that the user is sensitive to noise, a control instruction for adjusting the refrigerator to be in a low-noise mode is generated; otherwise, the control instruction is the control instruction of the normal mode.
Preferably, the cloud server can also judge the sensitivity factor of the user to the refrigerator noise according to the data source. Specifically, a correlation table of sensitivity factors of a user to refrigerator noise and a refrigerator working mode is preset; and the cloud server acquires the sensitivity factor, searches the working mode corresponding to the refrigerator according to the association table, generates a control instruction for adjusting the working mode of the refrigerator, and sends the instruction to the refrigerator so that the refrigerator adjusts the working mode according to the instruction. Wherein, the sensitivity factor can be related to the noise of other household appliances interconnected with the refrigerator, such as the fan rotating speed of the range hood and the like; or the noise level of its surroundings as detected by the refrigerator.
By analyzing the historical data of the refrigerator used by the user, the rules of the use frequency, the temperature change times and the like can be found. In addition to using the immediate data of the device and the data collected in a different way, more laws can be discovered through cloud computing. For example, when a consumer is (not) at home, when the consumer is sensitive to noise, etc. Because the above control logic will constantly learn and adjust the control algorithm, over time the refrigerator will likely be more intelligent and quieter to the user.
Application scenarios:
there is a section possesses intelligent noise control function refrigerator, and the button on the user's accessible refrigerator starts this function. The refrigerator records a plurality of user historical data such as the position of the refrigerator and a user work and rest schedule, and forms a user behavior habit model through analysis and self-learning.
When the user selects the smart noise adjusting function of the refrigerator, the control logic of the refrigerator noise generating part such as the compressor and the like is preferentially performed. Specifically, after the intelligent noise adjustment function of the refrigerator is started, the refrigerator or the cloud server thereof judges that the following conditions are met according to the existing data source, namely the refrigerator is placed in a kitchen, the temperature of a compartment of the refrigerator exceeds a maximum threshold value, the noise value detected by the refrigerator exceeds a certain value such as 45dB and lasts for a period of time such as three minutes, and no person exists around the refrigerator, the refrigerator is adjusted to be in a refrigeration mode. Or the refrigerator knows that the surrounding range hoods and cooking utensils all operate at a certain power, and the refrigerator dynamically adjusts the operation mode of the refrigerator according to the operation parameters of the two household appliances. Of course, these conditions may be increased or decreased depending on the particular circumstances. Furthermore, the refrigeration level of the refrigerator can be dynamically adjusted according to the correlation mentioned in the foregoing through different levels of noise.
This function of improving the noise of the refrigerator, as tested by experiments, results in slight temperature variations in the cabinet, which are tolerable.
Through such a scheme, the user can select the intelligent adjusting mode of the refrigerator, so that the user can experience a lower noise level when being sensitive to the noise of the refrigerator. And the operation mode of the refrigerator can be dynamically adjusted, namely, the operation mode is adjusted to be the corresponding operation mode according to the sensitivity of the user to the noise of the refrigerator, so that the perception of the user to the noise of the refrigerator is reduced. Meanwhile, the control method can be continuously learned and upgraded based on the requirements of individual consumers of big data. In addition to such direct user experience advantages, damping materials and the like for reducing noise can be saved, thereby reducing costs.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: ROM, RAM, magnetic or optical disks, and the like.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (24)

1. A control method of a refrigeration apparatus is characterized in that,
the method comprises the steps that the refrigeration equipment acquires an operation parameter of a first household appliance in communication connection with the refrigeration equipment, wherein the operation parameter is associated with noise generated by the first household appliance;
the refrigeration equipment judges whether a user is sensitive to the noise of the refrigeration equipment or not according to the operation parameters of the first household appliance;
and the refrigeration equipment adjusts the operation mode of the refrigeration equipment according to the judgment result, wherein the operation mode is related to the noise level generated by the refrigeration equipment.
2. The method of claim 1, further comprising: when the operating parameter is lower than a preset value, it is determined that the user is sensitive to noise of the refrigeration equipment.
3. The method of claim 1, further comprising the step of obtaining an ambient noise level by the refrigeration appliance and determining that the user is sensitive to noise from the refrigeration appliance when the ambient noise level is below a predetermined level.
4. The method of any of claims 1-3, wherein adjusting the operational mode of the refrigeration appliance based on the determination comprises adjusting to a low noise mode of operation if the refrigeration appliance determines that the user is sensitive to noise; otherwise, the operation is adjusted to the normal mode.
5. The method as set forth in claim 1, further comprising said refrigeration appliance determining a user sensitivity factor to refrigeration appliance noise.
6. The method as set forth in claim 5, further comprising presetting a correlation between a user sensitivity factor for noise of the refrigeration equipment and an operation mode of the refrigeration equipment;
the operation mode of the refrigeration equipment is adjusted according to the judgment result, and the operation mode comprises the following steps: and adjusting the refrigeration equipment to be in a corresponding operation mode according to the incidence relation.
7. The method of claim 5 or 6, wherein the operation modes of the refrigeration appliance include a low noise mode and a normal mode; when the sensitivity factor exceeds a preset value, the refrigeration equipment operates in a normal mode; otherwise, the operation is in a low noise mode.
8. The method of claim 5, wherein the sensitivity factor comprises an operating parameter associated with noise generated by a first appliance interconnected to the refrigeration appliance or an ambient noise level of the refrigeration appliance.
9. The method of any of claim 8, wherein the operating parameter associated with the generated noise of the first appliance interconnected to the refrigeration appliance comprises a fan speed of a range hood interconnected to the refrigeration appliance.
10. The method of claim 1, wherein adjusting the operational mode of the refrigeration appliance comprises adjusting the operational mode of a component associated with noise generation, wherein the component comprises at least one of: compressor, fan, air door, valve, mechanical relay, evacuation equipment.
11. The method as set forth in claim 1, wherein said step of said refrigeration appliance determining whether the user is sensitive to noise from the refrigeration appliance further comprises the step of said refrigeration appliance detecting the user being within a predetermined range via a sensor.
12. A refrigeration device comprising a control module, wherein the control module is configured to perform the method of any of claims 1-11.
13. A control method of a refrigeration apparatus is characterized in that,
the method comprises the steps that a cloud server receives a data source and judges whether a user is sensitive to noise of refrigeration equipment or not according to the data source, wherein the data source comprises operation parameters of a first household appliance in communication connection with the refrigeration equipment, and the operation parameters are associated with noise generated by the first household appliance;
and the cloud server generates a control instruction for adjusting the operation mode of the refrigeration equipment according to the judgment result and sends the control instruction to the refrigeration equipment, wherein the operation mode is associated with the noise level generated by the refrigeration equipment.
14. The method of claim 13, wherein the cloud server determining whether the user is sensitive to noise of the refrigeration appliance based on the data source comprises the cloud server analyzing user behavior based on the data source and determining whether the user is sensitive to noise based on the user behavior.
15. The method of claim 14, wherein the user behavior habits comprise time periods when the user is at home, during which time periods the user is determined to be sensitive to noise.
16. The method of any one of claims 13 to 15,
the cloud server determines that a user is sensitive to noise, and generates a control instruction for adjusting the refrigeration equipment to be in a low-noise mode; otherwise, the control instruction is the control instruction of the normal mode.
17. The method of claim 13, further comprising determining a user sensitivity factor to noise in the refrigeration appliance by a cloud server.
18. The method of claim 17, further comprising,
presetting an incidence relation between a sensitivity factor of a user to the noise of the refrigeration equipment and a working mode of the refrigeration equipment;
the cloud server generates a control instruction for adjusting the working mode of the refrigeration equipment according to the judgment result, wherein the cloud server acquires the sensitivity factor, searches the working mode corresponding to the refrigeration equipment according to the incidence relation, and generates the control instruction for adjusting the working mode of the refrigeration equipment.
19. The method of claim 17 or 18, wherein the operation modes of the refrigeration appliance include a low noise mode and a normal mode; when the sensitivity factor exceeds a preset value, the cloud server generates a control instruction for adjusting the refrigeration equipment to operate in a normal mode; otherwise, generating a control instruction for adjusting the refrigeration equipment to operate in a low noise mode.
20. The method of any of claim 17, wherein the sensitivity factor comprises an operating parameter associated with noise of other appliances interconnected with the refrigeration appliance or a noise level of an environment surrounding the refrigeration appliance.
21. The method of claim 20, wherein the operating parameters associated with the noise generated by the other appliance interconnected to the refrigeration appliance include a fan speed of a range hood interconnected to the refrigeration appliance.
22. The method as set forth in claim 13, wherein said generating a control command to adjust the operating mode of the refrigeration appliance comprises generating a control command to adjust a first component of the refrigeration appliance, wherein the first component comprises at least one of: compressor, fan, air door, valve, mechanical relay, evacuation equipment.
23. The method of claim 13, wherein the data source further comprises at least one of: data manually set/input by a user through the refrigeration equipment, data sensed by an accessory sensor of the refrigeration equipment, and data presented by the operation of the refrigeration equipment.
24. A cloud server, characterized by comprising a processing module for performing the method of any of claims 13-23.
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