Intelligent noise reduction refrigerator and control method

Abstract

The invention provides an intelligent noise reduction refrigerator and a control method, and the refrigerator comprises a collection module which is arranged on a refrigerator body and is configured to collect comparison data; the comparison data comprises CSI, refrigerator door opening and closing, temperature and humidity, light intensity and audio data; the data analysis module is in communication connection with the acquisition module, and the data analysis module is electrically connected with a compressor and a fan; the data analysis module is configured to acquire whether the comparison data is greater than a data threshold value or not; if yes, the refrigerator is controlled to operate in a noise reduction mode; when the refrigerator operates in a noise reduction mode, the rotating speed of the compressor and the rotating speed of the fan are reduced to preset values, so that the problems that the heat dissipation performance of the existing noise reduction refrigerator provided with a sound insulation layer is poor, heat generated when a refrigerating system works is blocked by the sound insulation layer and is difficult to dissipate, and the refrigerating system of the refrigerator is damaged due to overheat operation are solved. And the function of the refrigerator is damaged.

Description

Technical Field

[0001] The present application relates to the technical field of refrigeration equipment, and in particular to an intelligent noise reduction refrigerator and a control method thereof. Background Art

[0002] As people's living standards improve, refrigerators have entered thousands of households and become a necessity in people's daily lives. When the refrigerator is working, the long-term high-speed operation of the compressor and refrigeration fan will cause the refrigerator to continuously emit a lot of noise, which is difficult to cover up.

[0003] In order to cover up the noise, a sound insulation layer or vacuum layer is usually set inside or outside the smart refrigerator. Generally, the sound insulation layer is a foam board or sound-absorbing cotton with sound-absorbing function. The noise generated by the operation of the refrigeration system is absorbed through the foam holes or the space inside the sound-absorbing cotton to achieve the effect of noise reduction.

[0004] However, installing a sound insulation layer will result in poor heat dissipation of the refrigerator. The heat generated by the refrigeration system during operation will be blocked by the sound insulation layer and will be difficult to dissipate, causing the refrigerator's refrigeration system to be damaged due to overheating, resulting in damage to the refrigerator's function. Summary of the invention

[0005] The present application provides an intelligent noise reduction refrigerator and a control method to solve the technical problem that the current noise reduction refrigerator installed with a sound insulation layer will result in poor heat dissipation of the refrigerator. The heat generated by the refrigeration system during operation will be blocked by the sound insulation layer and difficult to dissipate, causing the refrigeration system of the refrigerator to be damaged due to overheating, resulting in damage to the refrigerator function.

[0006] The first aspect of the present application provides an intelligent noise reduction refrigerator, comprising:

[0007] The acquisition module is arranged on the box body and is configured as follows:

[0008] Collecting comparative data; the comparative data includes: CSI, refrigerator door switch, temperature and humidity, light intensity, and audio data;

[0009] A data analysis module, the data analysis module is in communication connection with the acquisition module, the data analysis module is electrically connected with the compressor and the fan; the data analysis module is configured as follows:

[0010] Obtaining whether the comparison data is greater than a data threshold;

[0011] If so, the refrigerator is controlled to operate in a noise reduction mode; when the refrigerator operates in the noise reduction mode, the speeds of the compressor and the fan are reduced to preset values.

[0012] In some embodiments, the data analysis module is in communication with a router, and a first detection area is formed between the data analysis module and the router;

[0013] The acquisition module is further configured as follows:

[0014] Collecting CSI data within the first detection area;

[0015] The data analysis module is further configured to:

[0016] A human activity value is calculated according to the CSI data, and if the human activity value is greater than a human activity threshold, the refrigerator is controlled to operate in a noise reduction mode.

[0017] In some embodiments, the first detection area is an area above a preset height between the data analysis module and the router.

[0018] In some embodiments, the data analysis module is further configured to:

[0019] According to the refrigerator door switch data, obtain whether the refrigerator door is open;

[0020] If the refrigerator door is open, the refrigerator is controlled to operate in a noise reduction mode.

[0021] In some embodiments, the acquisition module is further configured to:

[0022] Collect the temperature and humidity values ​​in the box;

[0023] The data analysis module is further configured to:

[0024] According to the temperature value and the humidity value, obtaining whether a fluctuation value of the temperature value or the humidity value within a first preset time is greater than a temperature value threshold or a humidity value threshold;

[0025] If yes, the refrigerator is controlled to operate in a noise reduction mode.

[0026] In some embodiments, the acquisition module is further configured to:

[0027] Collecting the light intensity in a second detection area; the second detection area is a detection area of ​​a light intensity sensor, and the light intensity sensor is disposed outside the box;

[0028] The data analysis module is further configured to:

[0029] According to the light intensity, obtaining whether a fluctuation value of the light intensity within a second preset time is greater than a light intensity threshold;

[0030] If yes, the refrigerator is controlled to operate in a noise reduction mode.

[0031] In some embodiments, the data analysis module is further configured to:

[0032] According to the audio data, obtain the sound intensity outside the box;

[0033] According to the sound intensity, obtaining whether the sound intensity is greater than a sound intensity threshold;

[0034] If yes, the refrigerator is controlled to operate in a noise reduction mode.

[0035] In some embodiments, the data analysis module is further configured to:

[0036] Get the module start and stop instructions;

[0037] According to the module start and stop instructions, the noise reduction mode is controlled to be turned off according to the set time.

[0038] In some embodiments, the data analysis module is further configured to:

[0039] Performing preprocessing operations on the comparison data; the preprocessing operations include: denoising, filtering, and standardization operations;

[0040] Get the packet loss rate and signal strength of CSI data;

[0041] If the packet loss rate or the signal strength of the CSI data is less than the packet loss rate threshold or the signal strength threshold, the CSI data is deleted.

[0042] A second aspect of the present application provides a control method for an intelligent noise reduction refrigerator, which is applied to an intelligent noise reduction refrigerator as described in any one of the first aspects above, comprising:

[0043] Collecting comparative data; the comparative data includes: CSI, refrigerator door switch, temperature and humidity, light intensity, and audio data;

[0044] Obtaining whether the comparison data is greater than a data threshold;

[0045] If so, the refrigerator is controlled to operate in a noise reduction mode; when the refrigerator operates in the noise reduction mode, the speeds of the compressor and the fan are reduced to preset values.

[0046] The present application provides an intelligent noise reduction refrigerator and a control method, the refrigerator comprising: a collection module, the collection module is arranged on a box body, and is configured to: collect comparison data; the comparison data includes: CSI, refrigerator door switch, temperature and humidity, light intensity, and audio data; a data analysis module, the data analysis module is communicatively connected to the collection module, and the data analysis module is electrically connected to a compressor and a fan; the data analysis module is configured to: obtain whether the comparison data is greater than a data threshold; if so, control the refrigerator to operate in a noise reduction mode; when the refrigerator operates in the noise reduction mode, the speed of the compressor and the fan is reduced to a preset value, so that the noise reduction refrigerator can complete the noise reduction function of the refrigerator through multimodal data. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solution of the present application, the drawings required for use in the embodiments are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0048] Figure 1 This is a structural diagram of the noise reduction module of the intelligent noise reduction refrigerator in this application;

[0049] Figure 2 This is a flow chart of the noise reduction function of the smart noise reduction refrigerator in this application.

[0050] Description of reference numerals:

[0051] 1-Acquisition module; 2-Data analysis module. DETAILED DESCRIPTION

[0052] In order to enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0053] In some technologies, a noise reduction refrigerator installed with a sound insulation layer will result in poor heat dissipation of the refrigerator. The heat generated by the refrigeration system during operation will be blocked by the sound insulation layer and will be difficult to dissipate, causing the refrigeration system of the refrigerator to be damaged due to overheating, resulting in damage to the refrigerator function. In order to solve this technical problem, the present application provides an intelligent noise reduction refrigerator and a control method. The intelligent noise reduction refrigerator and the control method are described below:

[0054] Depend on Figure 1It can be seen that the first aspect of the present application provides an intelligent noise reduction refrigerator, including: an acquisition module 1, the acquisition module 1 is arranged on the box body, and is configured to: collect comparison data; the comparison data includes: CSI, refrigerator door switch, temperature and humidity, light intensity, audio data; channel state information (CSI) includes specific indicators, such as carrier signal strength, amplitude, phase and signal delay; the above indicators reveal the signal scattering, reflection and power attenuation phenomena of the carrier as the transmission distance changes, and can be used to measure the channel state of the wireless network in Wi-Fi communication. By analyzing and studying the changes in CSI, the changes in the physical environment that cause the change in the channel state can be inferred in turn, that is, non-contact intelligent perception is realized. CSI is extremely sensitive to environmental changes. In addition to sensing environmental changes caused by large movements such as walking and running of people or animals, it can also capture subtle movements caused by small movements such as breathing and chewing of people or animals in a static environment. The CSI data is used to obtain information such as signal scattering, environmental attenuation, and distance attenuation.

[0055] Data analysis module 2, the data analysis module 2 is in communication connection with the acquisition module 1, the data analysis module 2 is electrically connected with the compressor and the fan; the data analysis module 2 is configured to: obtain whether the comparison data is greater than the data threshold; if so, control the refrigerator to operate in the noise reduction mode; when the refrigerator operates in the noise reduction mode, the speed of the compressor and the fan is reduced to a preset value. By obtaining the above multimodal data of the refrigerator (CSI, refrigerator door switch, temperature and humidity, light intensity, audio data) in real time, it is possible to determine whether there is anyone around the refrigerator, turn on the noise reduction function of the refrigerator, reduce the speed of the compressor and the fan, and improve the user experience.

[0056] In this embodiment, the data analysis module 2 is communicatively connected to the router, and a first detection area is formed between the data analysis module 2 and the router; a strong magnetic field is constructed between the router and the data analysis module 2 of the refrigerator, and the first detection area is the above-mentioned strong magnetic field. The human body will cause changes in the magnetic field, thereby realizing human body sensing, and judging whether there is someone near the refrigerator by continuously detecting the area; the acquisition module 1 is further configured to: collect CSI data in the first detection area; the data analysis module 2 is further configured to: calculate the human activity value according to the CSI data, and if the human activity value is greater than the human activity threshold, control the refrigerator to operate in noise reduction mode. Among them, the CSI data is obtained through a CSI sensor, and the CSI sensor is arranged on the outside of the refrigerator; the CSI data is used to obtain information such as signal scattering, environmental attenuation, and distance attenuation. The human activity value can be obtained through the above information. It can be understood that when the user moves to the first detection area formed between the data analysis module 2 and the router, the strong magnetic field will undergo certain changes, such as changes in signal scattering, environmental attenuation, distance attenuation and other information caused by changes in the signal transmission path, thereby judging that a user appears in the first detection area, triggering the noise reduction mode of the refrigerator, and reducing the speed of the compressor and the fan.

[0057] For example, CSI (channel state information) data plays a vital role in the field of wireless communications and is widely used to deeply analyze key information such as signal scattering characteristics, environmental attenuation, and distance attenuation. This information is not only an important indicator for evaluating wireless communication performance, but also the basis for monitoring and responding to human activities in smart home environments. CSI data can capture tiny changes in wireless signals caused by human movement or presence, including dynamic adjustments to signal transmission paths, changes in signal scattering patterns, attenuation caused by environmental absorption and reflection of signals, and the phenomenon of natural attenuation of signals as distance increases.

[0058] By analyzing the CSI data, the human activity value is indirectly obtained, and the user dynamics in the home environment are accurately perceived. When the user moves into the first detection area defined by the data analysis module 2 and the router, the strong magnetic field environment will change due to the interference of the human body on the wireless signal. The above changes are specifically reflected in the bending, refraction or reflection that may occur on the signal transmission path, and the changes in the signal scattering pattern caused by this; at the same time, the absorption effect of the environment on the signal may be enhanced due to the human body as a new obstacle, resulting in increased signal attenuation; in addition, as the distance between the user and the router shortens or changes, the signal strength will also decay according to the inverse square law of the distance, and these attenuation information is also accurately recorded. By capturing the CSI data changes caused by the user's movement through the data analysis module 2, the system can quickly determine that there is human activity in the first detection area, thereby controlling the compressor and fan inside the refrigerator to adjust to a lower speed, thereby effectively reducing the generation of noise and providing users with a more quiet and comfortable living environment.

[0059] In this embodiment, the first detection area is an area above a preset height between the data analysis module 2 and the router. In this embodiment, in order to prevent users from having pets at home, a height threshold is set to prevent animal interference, for example, only when the height is greater than 1m and the magnetic field changes are sensed, can the command to control the compressor and fan speed to be reduced to the preset value be generated; it is understandable that some users currently have pets at home, and in order to prevent the refrigerator from misjudging when the pet moves next to the refrigerator, the height threshold is set to avoid the system from taking the pet as the analysis target.

[0060] In this embodiment, the data analysis module 2 is further configured to: obtain whether the refrigerator door is open according to the refrigerator door switch data; if the refrigerator door is open, control the refrigerator to operate in the noise reduction mode. The refrigerator door switch is set in the refrigerator compartment, and the refrigerator door switch can be closed or opened by opening or closing the refrigerator compartment door. When the refrigerator door switch is turned on, it means that the refrigerator door is open, which means that the user is in front of the refrigerator door, and the refrigerator is directly triggered to operate in the noise reduction mode; the above function is a barrier to ensure the normal function of the noise reduction mode when the CSI data detection function is damaged or the detection function fails.

[0061] In this embodiment, the acquisition module 1 is further configured to: acquire the temperature value and humidity value in the box; the data analysis module 2 is further configured to: obtain whether the fluctuation value of the temperature value or the humidity value within the first preset time is greater than the temperature value threshold or the humidity value threshold according to the temperature value and the humidity value; if so, control the refrigerator to operate in the noise reduction mode. In this embodiment, the temperature value and humidity value are acquired by a temperature sensor and a humidity sensor, and the temperature sensor and the humidity sensor are arranged in the freezer. It can be understood that the temperature and humidity in the freezer are low and low. When the user opens the freezer door, the temperature and humidity in the freezer will change slightly. By measuring the change, it is set as the temperature value threshold or the humidity value threshold, and the humidity value and temperature value in the freezer are acquired in real time by the temperature sensor and the humidity sensor. If the fluctuation value of one of the humidity value and the temperature value is greater than the temperature value threshold or the humidity value threshold, it means that the user has opened the freezer door, and the noise reduction mode of the refrigerator is triggered; the above function is a barrier to ensure the normal function of the noise reduction mode when the CSI data detection function is damaged or the detection function fails.

[0062] In this embodiment, the acquisition module 1 is further configured to: collect the light intensity in the second detection area; the second detection area is the detection area of ​​the light intensity sensor, and the light intensity sensor is arranged outside the box; the data analysis module 2 is further configured to: according to the light intensity, obtain whether the fluctuation value of the light intensity within the second preset time is greater than the light intensity threshold; if so, control the refrigerator to operate in the noise reduction mode. The light intensity is collected by the light intensity sensor, and the light intensity sensor is arranged outside the refrigerator to collect the light intensity in the second detection area; it can be understood that when the user passes through the second detection area, the light intensity in the second detection area will decrease. By obtaining the light intensity in the second detection area in real time, if the fluctuation value of the light intensity is greater than the light intensity threshold, it means that the user has passed through the second detection area, and the noise reduction function of the refrigerator is triggered.

[0063] In this embodiment, the data analysis module 2 is further configured to: obtain the sound intensity outside the box according to the audio data; obtain whether the sound intensity is greater than the sound intensity threshold according to the sound intensity; if so, control the refrigerator to operate in the noise reduction mode. The audio data is collected by an audio collection device, which is arranged outside the refrigerator to collect audio data outside the refrigerator; it can be understood that when a user passes by the refrigerator, a certain sound will be emitted, and when the sound intensity reaches the sound intensity threshold set by the data analysis module 2, the noise reduction function of the refrigerator is triggered.

[0064] In this embodiment, the data analysis module 2 is further configured to: obtain module start and stop instructions; according to the module start and stop instructions, control the noise reduction mode to be turned off at a set time. The start and stop instructions are input through the display panel of the refrigerator to control the noise reduction mode to be turned off at a set time. It can be understood that when the user is sleeping or not at home for a long time, if the system is always in the collection and analysis state, it will cause unnecessary waste of electricity. Therefore, the user can input the start and stop instructions through the display panel to turn off the refrigerator within the set time. For example, when the user is sleeping at night or on a long business trip, the noise reduction mode function of the system can be turned off by the user to avoid unnecessary loss of electricity.

[0065] In this embodiment, the data analysis module 2 is further configured to: perform preprocessing operations on the comparative data; the preprocessing operations include: denoising, filtering, and standardization operations; the purpose of denoising is to remove the noise components in the data, and the noise comes from measurement errors, equipment failures, environmental factors, etc., which will interfere with the real signal of the data and affect the accuracy of the analysis results. It can be achieved through mathematical filtering (such as mean filtering, median filtering), statistical methods (such as Kalman filtering), or machine learning algorithms (such as outlier detection and removal). The purpose of filtering is to retain useful signals in the data while removing unnecessary frequency components; in comparative data analysis, this helps to extract key features and reduce data complexity. The filtering operation can select appropriate filters according to the frequency characteristics of the data, such as low-pass filters (retain low-frequency components and remove high-frequency noise), high-pass filters (retain high-frequency components and remove low-frequency interference) or band-pass filters (only retain signals within a specific frequency range). The purpose of the standardization operation is to convert the data to a common scale so that different variables or different data sets can be compared and combined, which helps to eliminate the impact of dimensional differences on the analysis results and improve the generalization ability of the model. Common methods of standardization operations include: minimum-maximum scaling, Z-score standardization method, etc.

[0066] Obtain the packet loss rate and signal strength of the CSI data; if the packet loss rate or the signal strength of the CSI data is less than the packet loss rate threshold or the signal strength threshold, delete the CSI data. Since CSI detection may be affected by many factors, such as interference in the environment, signal attenuation, etc. Therefore, it is necessary to process and filter the data efficiently to ensure the accuracy of the analysis results. The values ​​of signal strength and packet loss rate can be used to determine whether the CSI detection results are suitable for noise reduction mode.

[0067] Depend on Figure 2It can be seen that the present application provides an intelligent noise reduction refrigerator. When the user turns on the intelligent noise reduction function, all sensors collect data in real time (CSI, refrigerator door switch, temperature and humidity, light intensity, audio data) and transmit it to the data analysis module 2. The relevant data is preprocessed, such as denoising, filtering, standardization operations, etc., to ensure the accuracy of the data. For example, if the packet loss rate and signal strength of CSI do not reach the threshold, the CSI data will be discarded. If the threshold is reached, the next step is performed. The CSI detection, door switch, and audio data are analyzed, calculated, and stored in the data analysis module 2. The week before the refrigerator is powered on is used as the data collection time, and data analysis is performed. On the first day after a week, the user may appear near the refrigerator in the data analysis results. The time period is reduced, and the compressor and fan speed are adjusted. Every day after the refrigerator is powered on for a week, the data analysis module 2 will perform statistics and calculations based on all the data collected in the past, and execute new noise reduction rules on the second day; such as the setting of various thresholds for the collected data.

[0068] The second aspect of the present application provides a control method for an intelligent noise reduction refrigerator, which is applied to an intelligent noise reduction refrigerator described in any of the above embodiments, including: collecting comparison data; the comparison data includes: CSI, refrigerator door switch, temperature and humidity, light intensity, audio data; obtaining whether the comparison data is greater than the data threshold; if so, controlling the refrigerator to operate in noise reduction mode; when the refrigerator operates in noise reduction mode, the speed of the compressor and the fan is reduced to a preset value. The effects of the above method embodiments can be referred to the effects of the above system embodiments, which will not be repeated here.

[0069] The above specific implementation methods further explain in detail the purpose, technical solutions and beneficial effects of the embodiments of the present application. It should be understood that the above are only specific implementation methods of the embodiments of the present application and are not used to limit the protection scope of the embodiments of the present application. Any modifications, equivalent substitutions, improvements, etc. made on the basis of the technical solutions of the embodiments of the present application should be included in the protection scope of the embodiments of the present application.

Claims

1. An intelligent noise reduction refrigerator, characterized in that: include: A collection module (1), wherein the collection module (1) is arranged on the box body and is configured as follows: Collect comparative data; The comparison data includes: CSI, refrigerator door switch, temperature and humidity, light intensity, and audio data; A data analysis module (2), the data analysis module (2) is communicatively connected to the acquisition module (1), the data analysis module (2) is electrically connected to the compressor and the fan; the data analysis module (2) is configured as follows: Obtaining whether the comparison data is greater than a data threshold; If so, the refrigerator is controlled to operate in a noise reduction mode; when the refrigerator operates in the noise reduction mode, the speeds of the compressor and the fan are reduced to preset values.

2. The intelligent noise reduction refrigerator according to claim 1, characterized in that: The data analysis module (2) is in communication connection with the router, and a first detection area is formed between the data analysis module (2) and the router; The acquisition module (1) is further configured as follows: Collecting CSI data within the first detection area; The data analysis module (2) is further configured to: A human activity value is calculated according to the CSI data, and if the human activity value is greater than a human activity threshold, the refrigerator is controlled to operate in a noise reduction mode.

3. The intelligent noise reduction refrigerator according to claim 2, characterized in that: The first detection area is an area above a preset height between the data analysis module (2) and the router.

4. The intelligent noise reduction refrigerator according to claim 1, characterized in that: The data analysis module (2) is further configured to: According to the refrigerator door switch data, obtain whether the refrigerator door is open; If the refrigerator door is open, the refrigerator is controlled to operate in a noise reduction mode.

5. The intelligent noise reduction refrigerator according to claim 1, characterized in that: The acquisition module (1) is further configured as follows: Collect the temperature and humidity values ​​in the box; The data analysis module (2) is further configured to: According to the temperature value and the humidity value, obtaining whether a fluctuation value of the temperature value or the humidity value within a first preset time is greater than a temperature value threshold or a humidity value threshold; If yes, the refrigerator is controlled to operate in a noise reduction mode.

6. The intelligent noise reduction refrigerator according to claim 1, characterized in that: The acquisition module (1) is further configured as follows: Collecting the light intensity in a second detection area; the second detection area is a detection area of ​​a light intensity sensor, and the light intensity sensor is disposed outside the box; The data analysis module (2) is further configured to: According to the light intensity, obtaining whether a fluctuation value of the light intensity within a second preset time is greater than a light intensity threshold; If yes, the refrigerator is controlled to operate in a noise reduction mode.

7. The intelligent noise reduction refrigerator according to claim 1, characterized in that: The data analysis module (2) is further configured to: According to the audio data, obtain the sound intensity outside the box; According to the sound intensity, obtaining whether the sound intensity is greater than a sound intensity threshold; If yes, the refrigerator is controlled to operate in a noise reduction mode.

8. The intelligent noise reduction refrigerator according to claim 1, characterized in that: The data analysis module (2) is further configured to: Get module start and stop instructions; According to the module start and stop instructions, the noise reduction mode is controlled to be turned off according to the set time.

9. The intelligent noise reduction refrigerator according to claim 1, characterized in that: The data analysis module (2) is further configured to: Performing preprocessing operations on the comparison data; the preprocessing operations include: denoising, filtering, and standardization operations; Get the packet loss rate and signal strength of CSI data; If the packet loss rate or the signal strength of the CSI data is less than the packet loss rate threshold or the signal strength threshold, the CSI data is deleted.

10. A control method for an intelligent noise reduction refrigerator, applied to an intelligent noise reduction refrigerator as claimed in any one of claims 1 to 9, characterized in that: include: Collect comparative data; The comparison data includes: CSI, refrigerator door switch, temperature and humidity, light intensity, and audio data; Obtaining whether the comparison data is greater than a data threshold; If so, the refrigerator is controlled to operate in a noise reduction mode; when the refrigerator operates in the noise reduction mode, the speeds of the compressor and the fan are reduced to preset values.

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