Nitrogen generation amount control method, system and equipment, medium and computer program product

Abstract

The invention provides a nitrogen generation amount control method, system and device, a medium and a computer program product, the control method is suitable for a refrigerator, the refrigerator comprises an air pump, and the control method comprises the steps that a noise signal of the air pump is collected; analyzing the noise signal, and extracting a noise effective value; and controlling the nitrogen generation amount based on the noise effective value. The nitrogen generation amount of the refrigerator is dynamically adjusted by monitoring the noise signal of the air pump, the vibration noise of the air pump is effectively reduced, the nitrogen generation efficiency is improved, and nitrogen generation efficiency optimization and cooperative control over the vibration noise of the air pump are achieved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of nitrogen production amount control, and in particular to a nitrogen production amount control method, system, device, medium and computer program product. Background Art

[0002] The refrigerator's nitrogen production module can be used to preserve food. Traditional nitrogen production modules control nitrogen generation through fixed parameters (such as air pump speed and adsorption cycle), but do not use noise signals as control inputs, making it difficult to achieve precise closed-loop regulation and unable to dynamically adjust according to load changes. High-end refrigerators extend the shelf life of food by injecting nitrogen. As part of the nitrogen production module, the air pump will vibrate during operation. Excessive vibration will cause noise, affecting the nitrogen production efficiency and the lifespan of other refrigerator components, and even affecting the user experience. Summary of the Invention

[0003] The technical problem to be solved by the present disclosure is to overcome the defect in the prior art that the air pump in the nitrogen production module generates noise during operation, which affects the nitrogen production efficiency, and to provide a method, system, device, medium and computer program product for controlling the nitrogen production amount.

[0004] The present disclosure solves the above technical problems through the following technical solutions:

[0005] A first aspect of the present disclosure provides a method for controlling nitrogen production, the method being applicable to a refrigerator including an air pump, the method comprising:

[0006] Collect the noise signal of the air pump;

[0007] Analyzing the noise signal and extracting the noise effective value;

[0008] The nitrogen production amount is controlled based on the noise effective value.

[0009] Preferably, the refrigerator further includes a nitrogen generator, and the step of controlling the nitrogen production amount based on the noise effective value includes:

[0010] In response to the noise effective value or the noise entropy value being greater than or equal to a preset threshold, the air pump speed is reduced and the adsorption period of the nitrogen generator is extended.

[0011] Preferably, the refrigerator further includes a nitrogen generator, and the step of controlling the nitrogen production amount based on the noise effective value further includes:

[0012] In response to detecting that the amplitude of the noise in the first preset frequency band in the noise effective value is greater than the first preset amplitude, the air pump speed is increased, the adsorption period of the nitrogen generator is shortened, and the newly added noise signal is offset.

[0013] Preferably, the step of controlling the nitrogen production amount based on the noise effective value further comprises:

[0014] In response to detecting that the amplitude of the noise in the second preset frequency band in the noise effective value is greater than the second preset amplitude, reducing the air pump power and the air pump working pressure;

[0015] The amplitude of the noise in the second preset frequency band is greater than the amplitude of the noise in the first preset frequency band.

[0016] Preferably, the control method further includes:

[0017] Get the noise entropy value;

[0018] In response to the noise entropy value being less than a preset threshold, the refrigerator is controlled to switch to a silent mode.

[0019] Preferably, the control method further includes:

[0020] In response to detecting a low-frequency resonance of the air pump, generating an anti-phase sound wave and canceling the noise signal;

[0021] and / or,

[0022] The control method further includes:

[0023] Inputting the noise effective value into a neural network model to obtain a predicted nitrogen production amount;

[0024] Obtaining a corresponding relationship between the noise effective value and the nitrogen production amount based on the noise effective value and the predicted nitrogen production amount;

[0025] The step of controlling the nitrogen production amount based on the noise effective value includes:

[0026] The nitrogen production amount is controlled based on the corresponding relationship between the noise effective value and the nitrogen production amount.

[0027] A second aspect of the present disclosure provides a nitrogen production control system, the control system being applicable to a refrigerator including an air pump, the control system comprising:

[0028] Acquisition module, used to collect noise signals from the air pump;

[0029] An analysis module, configured to analyze the noise signal and extract a noise effective value;

[0030] The first control module is configured to control the nitrogen production amount based on the effective value of the noise.

[0031] Preferably, the refrigerator further includes a nitrogen generator, and the first control module is configured to reduce the air pump speed and extend the adsorption period of the nitrogen generator in response to the noise effective value or the noise entropy value being greater than or equal to a preset threshold.

[0032] Preferably, the refrigerator further includes a nitrogen generator, and the first control module is configured to increase the air pump speed and shorten the adsorption period of the nitrogen generator in response to detecting that the amplitude of the noise in the first preset frequency band in the noise effective value is greater than the first preset amplitude, and offset the newly added noise signal.

[0033] Preferably, the first control module is configured to reduce the air pump power and the air pump working pressure in response to detecting that the amplitude of the noise in the second preset frequency band in the noise effective value is greater than the second preset amplitude;

[0034] The amplitude of the noise in the second preset frequency band is greater than the amplitude of the noise in the first preset frequency band.

[0035] Preferably, the control system further comprises:

[0036] A first acquisition module is used to obtain a noise entropy value;

[0037] The second control module is configured to control the refrigerator to switch to a silent mode in response to the noise entropy value being less than a preset threshold.

[0038] Preferably, the control system further comprises:

[0039] a generating module, configured to generate an anti-phase sound wave and cancel the noise signal in response to detecting low-frequency resonance of the air pump;

[0040] and / or,

[0041] The control system further comprises:

[0042] A second acquisition module is used to input the noise effective value into a neural network model to obtain a predicted nitrogen production amount;

[0043] A third acquisition module is used to acquire a corresponding relationship between the noise effective value and the nitrogen production amount based on the noise effective value and the predicted nitrogen production amount;

[0044] The first control module is used to control the nitrogen production amount based on the corresponding relationship between the noise effective value and the nitrogen production amount.

[0045] A third aspect of the present disclosure provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and configured to run on the processor, wherein the processor implements the nitrogen production control method described in the first aspect when executing the computer program.

[0046] A fourth aspect of the present disclosure provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for controlling the nitrogen production amount described in the first aspect is implemented.

[0047] A fifth aspect of the present disclosure provides a computer program product, comprising a computer program, which, when executed by a processor, implements the method for controlling the nitrogen production amount as described in the first aspect.

[0048] On the basis of conforming to the common sense in this field, the above-mentioned preferred conditions can be arbitrarily combined to obtain the preferred embodiments of the present disclosure.

[0049] The positive progress of this disclosure is:

[0050] The present invention dynamically adjusts the nitrogen production amount of the refrigerator by monitoring the noise signal of the air pump, effectively reducing the vibration noise of the air pump, improving the nitrogen production efficiency, and realizing the coordinated control of nitrogen production efficiency optimization and air pump vibration noise. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is a flow chart of the method for controlling nitrogen production provided in Example 1 of the present disclosure.

[0052] Figure 2 This is a module schematic diagram of the nitrogen production control system provided in Example 2 of the present disclosure.

[0053] Figure 3 This is a structural diagram of an electronic device for implementing the method for controlling nitrogen production according to Example 3 of the present disclosure. DETAILED DESCRIPTION

[0054] The present disclosure is further illustrated below by way of examples, but the present disclosure is not limited to the scope of the examples.

[0055] In the embodiments of the present disclosure, prefixes such as "first" and "second" are used only to distinguish different description objects, and have no limiting effect on the position, order, priority, quantity or content of the described objects. In the embodiments of the present disclosure, the use of prefixes such as ordinal numbers to distinguish description objects does not constitute a restriction on the described objects. For the statement of the described objects, please refer to the description in the context of the claims or embodiments, and no unnecessary restrictions should be constituted due to the use of such prefixes. In addition, in the description of this embodiment, unless otherwise specified, the meaning of "plurality" is two or more.

[0056] In the embodiments of the present disclosure, the collection, storage, use, processing, transmission, provision and disclosure of user personal information involved comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0057] Example 1

[0058] Figure 1 This is a flow chart of a method for controlling nitrogen production provided in Example 1 of the present disclosure. The control method is applicable to a refrigerator, which includes an air pump, such as Figure 1As shown, the control method includes:

[0059] S1, collecting the noise signal of the air pump;

[0060] In this embodiment, the refrigerator further includes an acoustic sensing module, which includes a high-sensitivity microphone or a sound pressure sensor, installed near the air pump, and is used to collect the noise signal of the air pump (the frequency range of the noise signal is 0Hz-20kHz).

[0061] S2. Analyze the noise signal and extract the effective value of the noise;

[0062] In this embodiment, a signal processing unit in the refrigerator performs spectrum analysis on the noise signal, extracts characteristic parameters (such as main frequency energy, harmonic distribution, and sound pressure level), and obtains the effective value of the noise.

[0063] Specifically, the time-frequency characteristics of the noise signal are analyzed by wavelet transform, and the noise effective value of the energy in the key frequency band of 0Hz-5kHz is extracted. Through linear discriminant analysis, the feature dimension is reduced and more than 95% of the variance is retained. Through model selection and training, a mapping model between the air pump noise characteristics and the nitrogen production amount (nitrogen flow rate) is established.

[0064] S3. Control the nitrogen production amount based on the effective value of noise.

[0065] This embodiment dynamically adjusts the nitrogen production amount of the refrigerator by monitoring the noise signal of the air pump, effectively reducing the vibration noise of the air pump, improving the nitrogen production efficiency, and achieving coordinated control of nitrogen production efficiency optimization and air pump vibration noise.

[0066] In an optional embodiment, the refrigerator further includes a nitrogen generator, and S3 includes:

[0067] In response to the noise effective value or the noise entropy value being greater than or equal to a preset threshold, the air pump speed is reduced and the adsorption period of the nitrogen generator is extended.

[0068] In this embodiment, the preset threshold is obtained according to user settings or refrigerator sensor feedback. For example, the preset threshold can be set to 51 dB(A).

[0069] In this embodiment, when the noise effective value or noise entropy value of the energy in the 0Hz-5kHz frequency band of the air pump box exceeds a preset threshold, the nitrogen production control unit in the refrigerator proportionally reduces the air pump speed and extends the adsorption cycle of the nitrogen generator to maintain a constant nitrogen production amount.

[0070] In an optional embodiment, the refrigerator further includes a nitrogen generator, and S3 further includes:

[0071] In response to detecting that the amplitude of the noise in the first preset frequency band in the noise effective value is greater than the first preset amplitude, the air pump speed is increased, the adsorption period of the nitrogen generator is shortened, and the newly added noise signal is offset.

[0072] In this embodiment, the first preset frequency band noise is specific high-frequency noise, usually turbulent noise above 2 kHz-4 kHz.

[0073] Specifically, if a sudden increase in the amplitude of noise in the first preset frequency band (for example, specific high-frequency noise (such as turbulent noise above 2kHz-4kHz)) is detected (for example, the amplitude of the noise in the first preset frequency band is greater than the first preset amplitude), it is determined that the airflow efficiency has decreased, the air pump speed is increased, the adsorption period of the nitrogen generator is shortened, and ANC is started to offset the newly added noise signal.

[0074] In an optional embodiment, S3 further includes:

[0075] In response to detecting that the amplitude of the noise in the second preset frequency band in the noise effective value is greater than the second preset amplitude, reducing the air pump power and the air pump working pressure;

[0076] The amplitude of the noise in the second preset frequency band is greater than the amplitude of the noise in the first preset frequency band.

[0077] In this embodiment, the second preset frequency band noise is high frequency noise greater than 4 kHz;

[0078] Specifically, when a surge in the amplitude of the noise in the second preset frequency band is detected (for example, the amplitude of the noise in the second preset frequency band is greater than the second preset amplitude), it is determined to be a risk of air pump surge, and the frequency reduction + pressure relief linkage control is triggered (for example, reducing the air pump power and the air pump working pressure) to maintain the nitrogen production efficiency within the optimal range.

[0079] It should be noted that the first preset amplitude and the second preset amplitude are both set according to actual conditions and are not specifically limited here.

[0080] In an optional embodiment, the control method further includes:

[0081] Get the noise entropy value;

[0082] In response to the noise entropy value being less than a preset threshold, the refrigerator is controlled to switch to a silent mode.

[0083] In this embodiment, during the low-demand period at night, when the noise entropy value is lower than the preset threshold, it switches to "silent mode". Specifically, the air pump speed is reduced to 70%, the adsorption cycle of the nitrogen generator is extended by 20%, and the energy consumption is reduced by 25%.

[0084] In an optional embodiment, the control method further includes:

[0085] In response to detecting a low-frequency resonance of the air pump, generating an anti-phase sound wave and canceling the noise signal;

[0086] In this embodiment, mechanical adjustment (speed / valve) and active noise reduction (ANC) are combined to achieve simultaneous optimization of noise suppression and nitrogen production efficiency. Specifically, for low-frequency noise (such as 100Hz resonance) that cannot be suppressed by mechanical adjustment, ANC is used to generate anti-phase sound waves to offset the noise signal, avoiding the limitation of air pump power due to noise reduction requirements.

[0087] In an optional embodiment, the control method further includes:

[0088] The effective value of noise is input into the neural network model to obtain the predicted nitrogen production amount;

[0089] In this embodiment, the input layer of the neural network model includes the noise effective value of the energy in the 0 Hz-5 kHz frequency band, and the output layer is the nitrogen flow prediction value (for example, the predicted nitrogen production amount).

[0090] Based on the noise effective value and the predicted nitrogen production amount, the corresponding relationship between the noise effective value and the nitrogen production amount is obtained;

[0091] In this embodiment, a mapping model (eg, a corresponding relationship) between the noise characteristics of the air pump and the nitrogen production amount (nitrogen flow rate) is established through neural network model selection and training.

[0092] S3 includes:

[0093] The nitrogen production amount is controlled based on the corresponding relationship between the effective value of noise and the nitrogen production amount.

[0094] In this embodiment, the noise-nitrogen production relationship is dynamically updated through machine learning to adapt to complex working conditions such as air pump surge and nighttime environments. Specifically, the target nitrogen production corresponding to the target noise effective value is obtained based on the corresponding relationship, and the air pump speed and the adsorption period of the nitrogen generator are dynamically adjusted by comparing the target nitrogen production amount with the predicted nitrogen production amount.

[0095] This embodiment uses the air pump noise spectrum characteristics as a real-time feedback parameter for adjusting the nitrogen production amount, breaking through the limitations of traditional reliance on pressure / flow sensors. Specifically, by real-time monitoring of the air pump operating noise, the working status of the air pump can be inferred. This is used as a reference signal to dynamically adjust the adsorption cycle of the nitrogen generator and the air pump speed, thereby controlling the nitrogen production. This effectively reduces the vibration noise of the air pump and improves the nitrogen production efficiency, thereby achieving coordinated control of nitrogen production efficiency optimization and air pump vibration noise.

[0096] Example 2

[0097] Corresponding to the aforementioned embodiment of a method for controlling nitrogen production, the present disclosure also provides an embodiment of a control system for nitrogen production.

[0098] Figure 2 This is a module diagram of a nitrogen production control system provided in Example 2 of the present disclosure. The control system is applicable to a refrigerator, which includes an air pump, such as Figure 2 As shown, the control system includes:

[0099] The acquisition module 21 is used to collect the noise signal of the air pump;

[0100] In this embodiment, the refrigerator further includes an acoustic sensing module, which includes a high-sensitivity microphone or a sound pressure sensor, installed near the air pump, and is used to collect the noise signal of the air pump (the frequency range of the noise signal is 0Hz-20kHz).

[0101] The analysis module 22 is used to analyze the noise signal and extract the effective value of the noise;

[0102] In this embodiment, a signal processing unit in the refrigerator performs spectrum analysis on the noise signal, extracts characteristic parameters (such as main frequency energy, harmonic distribution, and sound pressure level), and obtains the effective value of the noise.

[0103] Specifically, the time-frequency characteristics of the noise signal are analyzed by wavelet transform, and the noise effective value of the energy in the key frequency band of 0Hz-5kHz is extracted. Through linear discriminant analysis, the feature dimension is reduced and more than 95% of the variance is retained. Through model selection and training, a mapping model between the air pump noise characteristics and the nitrogen production amount (nitrogen flow rate) is established.

[0104] The first control module 23 is configured to control the nitrogen production amount based on the effective value of the noise.

[0105] This embodiment dynamically adjusts the nitrogen production amount of the refrigerator by monitoring the noise signal of the air pump, effectively reducing the vibration noise of the air pump, improving the nitrogen production efficiency, and achieving coordinated control of nitrogen production efficiency optimization and air pump vibration noise.

[0106] In an optional embodiment, the refrigerator further includes a nitrogen generator, and a first control module configured to reduce the air pump speed and extend the adsorption period of the nitrogen generator in response to the noise effective value or the noise entropy value being greater than or equal to a preset threshold.

[0107] In this embodiment, the preset threshold is obtained according to user settings or refrigerator sensor feedback. For example, the preset threshold can be set to 51 dB(A).

[0108] In this embodiment, when the noise effective value or noise entropy value of the energy in the 0Hz-5kHz frequency band of the air pump box exceeds a preset threshold, the nitrogen production control unit in the refrigerator proportionally reduces the air pump speed and extends the adsorption cycle of the nitrogen generator to maintain a constant nitrogen production amount.

[0109] In an optional embodiment, the refrigerator further includes a nitrogen generator and a first control module for increasing the air pump speed and shortening the adsorption period of the nitrogen generator in response to detecting that the amplitude of the noise in the first preset frequency band in the noise effective value is greater than the first preset amplitude, and offsetting the newly added noise signal.

[0110] In this embodiment, the first preset frequency band noise is specific high-frequency noise, usually turbulent noise above 2 kHz-4 kHz.

[0111] Specifically, if a sudden increase in the amplitude of noise in the first preset frequency band (for example, specific high-frequency noise (such as turbulent noise above 2kHz-4kHz)) is detected (for example, the amplitude of the noise in the first preset frequency band is greater than the first preset amplitude), it is determined that the airflow efficiency has decreased, the air pump speed is increased, the adsorption period of the nitrogen generator is shortened, and ANC is started to offset the newly added noise signal.

[0112] In an optional embodiment, the first control module is configured to reduce the air pump power and the air pump working pressure in response to detecting that the amplitude of the noise in the second preset frequency band in the noise effective value is greater than the second preset amplitude;

[0113] The amplitude of the noise in the second preset frequency band is greater than the amplitude of the noise in the first preset frequency band.

[0114] In this embodiment, the second preset frequency band noise is high frequency noise greater than 4 kHz;

[0115] Specifically, when a surge in the amplitude of the noise in the second preset frequency band is detected (for example, the amplitude of the noise in the second preset frequency band is greater than the second preset amplitude), it is determined to be a risk of air pump surge, and the frequency reduction + pressure relief linkage control is triggered (for example, reducing the air pump power and the air pump working pressure) to maintain the nitrogen production efficiency within the optimal range.

[0116] It should be noted that the first preset amplitude and the second preset amplitude are both set according to actual conditions and are not specifically limited here.

[0117] In an optional embodiment, the control system further includes:

[0118] A first acquisition module is used to obtain a noise entropy value;

[0119] The second control module is configured to control the refrigerator to switch to a silent mode in response to the noise entropy value being less than a preset threshold.

[0120] In this embodiment, during the low-demand period at night, when the noise entropy value is lower than the preset threshold, it switches to "silent mode". Specifically, the air pump speed is reduced to 70%, the adsorption cycle of the nitrogen generator is extended by 20%, and the energy consumption is reduced by 25%.

[0121] In an optional embodiment, the control system further includes:

[0122] a generating module, configured to generate an anti-phase sound wave and cancel the noise signal in response to detecting low-frequency resonance of the air pump;

[0123] In this embodiment, mechanical adjustment (speed / valve) and active noise reduction (ANC) are combined to achieve simultaneous optimization of noise suppression and nitrogen production efficiency. Specifically, for low-frequency noise (such as 100Hz resonance) that cannot be suppressed by mechanical adjustment, ANC is used to generate anti-phase sound waves to offset the noise signal, avoiding the limitation of air pump power due to noise reduction requirements.

[0124] In an optional embodiment, the control system further includes:

[0125] The second acquisition module is used to input the effective value of the noise into the neural network model to obtain the predicted nitrogen production amount;

[0126] In this embodiment, the input layer of the neural network model includes the noise effective value of the energy in the 0 Hz-5 kHz frequency band, and the output layer is the nitrogen flow prediction value (for example, the predicted nitrogen production amount).

[0127] A third acquisition module is used to obtain a corresponding relationship between the noise effective value and the nitrogen production amount based on the noise effective value and the predicted nitrogen production amount;

[0128] In this embodiment, a mapping model (eg, a corresponding relationship) between the noise characteristics of the air pump and the nitrogen production amount (nitrogen flow rate) is established through neural network model selection and training.

[0129] The first control module is used to control the nitrogen production amount based on the corresponding relationship between the noise effective value and the nitrogen production amount.

[0130] In this embodiment, the noise-nitrogen production relationship is dynamically updated through machine learning to adapt to complex working conditions such as air pump surge and nighttime environments. Specifically, the target nitrogen production corresponding to the target noise effective value is obtained based on the corresponding relationship, and the air pump speed and the adsorption period of the nitrogen generator are dynamically adjusted by comparing the target nitrogen production amount with the predicted nitrogen production amount.

[0131] This embodiment uses the air pump noise spectrum characteristics as a real-time feedback parameter for adjusting the nitrogen production amount, breaking through the limitations of traditional reliance on pressure / flow sensors. Specifically, by real-time monitoring of the air pump operating noise, the working status of the air pump can be inferred. This is used as a reference signal to dynamically adjust the adsorption cycle of the nitrogen generator and the air pump speed, thereby controlling the nitrogen production. This effectively reduces the vibration noise of the air pump and improves the nitrogen production efficiency, thereby achieving coordinated control of nitrogen production efficiency optimization and air pump vibration noise.

[0132] Since the system embodiments generally correspond to the method embodiments, reference will be made to the description of the method embodiments for relevant details. The system embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components of the units may or may not be physical units, i.e., they may be located in one place or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the disclosed solution.

[0133] Example 3

[0134] Figure 3 This is a structural schematic diagram of an electronic device shown in Example 3 of the present disclosure. The electronic device includes a memory, a processor, and a computer program stored in the memory and used to run on the processor. When the processor executes the computer program, it implements the nitrogen production control method described in any of the above embodiments. Figure 3 The electronic device 90 shown is only an example and should not limit the functionality and scope of use of the embodiments of the present disclosure.

[0135] like Figure 3 As shown, the electronic device 90 may be a general-purpose computing device, such as a server device. Components of the electronic device 90 may include, but are not limited to, the at least one processor 91, the at least one memory 92, and a bus 93 connecting different system components (including the memory 92 and the processor 91).

[0136] The bus 93 includes a data bus, an address bus, and a control bus.

[0137] The memory 92 may include a volatile memory, such as a random access memory (RAM) 921 and / or a cache memory 922 , and may further include a read-only memory (ROM) 923 .

[0138] The memory 92 may also include a program tool 925 (or utility) having a set (at least one) of program modules 924, such program modules 924 including but not limited to: an operating system, one or more application programs, other program modules and program data, each of which or some combination may include an implementation of a network environment.

[0139] The processor 91 executes various functional applications and data processing by running the computer program stored in the memory 92, such as the nitrogen production amount control method provided in any of the above embodiments.

[0140] The electronic device 90 can also communicate with one or more external devices 94 (e.g., keyboards, pointing devices, etc.). Such communication can be performed through an input / output (I / O) interface 95. In addition, the electronic device 90 can also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 96. Figure 3 As shown, the network adapter 96 communicates with other modules of the electronic device 90 via the bus 93. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device 90, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (RAID) systems, tape drives, and data backup storage systems.

[0141] It should be noted that although several units / modules or sub-units / modules of the electronic device are mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0142] Example 4

[0143] Embodiment 4 of the present disclosure further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for controlling the nitrogen production amount provided in any of the above embodiments.

[0144] The readable storage medium may include, but is not limited to, a portable disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0145] Example 5

[0146] Embodiment 5 of the present disclosure further provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-mentioned methods for controlling the amount of nitrogen production.

[0147] The program code for executing the computer program product of the present disclosure may be written in any combination of one or more programming languages, and the program code may be executed entirely on the user device, partially on the user device, as a standalone software package, partially on the user device and partially on a remote device, or entirely on the remote device.

[0148] While specific embodiments of the present disclosure have been described above, those skilled in the art will appreciate that these are merely illustrative and that the scope of protection of the present disclosure is defined by the appended claims. Those skilled in the art may make various changes or modifications to these embodiments without departing from the principles and essence of the present disclosure, and such changes and modifications are intended to fall within the scope of protection of the present disclosure.

Claims

1. A method for controlling nitrogen production, characterized in that: The control method is applicable to a refrigerator including an air pump, and the control method includes: Collect the noise signal of the air pump; Analyzing the noise signal and extracting the noise effective value; The nitrogen production amount is controlled based on the noise effective value.

2. The method for controlling nitrogen production according to claim 1, wherein: The refrigerator further includes a nitrogen generator, and the step of controlling the nitrogen production amount based on the noise effective value includes: In response to the noise effective value or the noise entropy value being greater than or equal to a preset threshold, the air pump speed is reduced and the adsorption period of the nitrogen generator is extended.

3. The method for controlling nitrogen production according to claim 1, wherein: The refrigerator further includes a nitrogen generator, and the step of controlling the nitrogen production amount based on the noise effective value further includes: In response to detecting that the amplitude of the noise in the first preset frequency band in the noise effective value is greater than the first preset amplitude, the air pump speed is increased, the adsorption period of the nitrogen generator is shortened, and the newly added noise signal is offset.

4. The method for controlling nitrogen production according to claim 3, wherein: The step of controlling the nitrogen production amount based on the noise effective value further includes: In response to detecting that the amplitude of the noise in the second preset frequency band in the noise effective value is greater than the second preset amplitude, reducing the air pump power and the air pump working pressure; The amplitude of the noise in the second preset frequency band is greater than the amplitude of the noise in the first preset frequency band.

5. The method for controlling nitrogen production according to claim 1, wherein: The control method further includes: Get the noise entropy value; In response to the noise entropy value being less than a preset threshold, the refrigerator is controlled to switch to a silent mode.

6. The method for controlling nitrogen production according to claim 1, wherein: The control method further includes: In response to detecting a low-frequency resonance of the air pump, generating an anti-phase sound wave and canceling the noise signal; and / or, The control method further includes: Inputting the noise effective value into a neural network model to obtain a predicted nitrogen production amount; Obtaining a corresponding relationship between the noise effective value and the nitrogen production amount based on the noise effective value and the predicted nitrogen production amount; The step of controlling the nitrogen production amount based on the noise effective value includes: The nitrogen production amount is controlled based on the corresponding relationship between the noise effective value and the nitrogen production amount.

7. A nitrogen production control system, characterized in that: The control system is applicable to a refrigerator including an air pump, and the control system includes: Acquisition module, used to collect noise signals from the air pump; An analysis module, configured to analyze the noise signal and extract a noise effective value; The first control module is configured to control the nitrogen production amount based on the effective value of the noise.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and configured to run on the processor, wherein: When the processor executes the computer program, the method for controlling the nitrogen production amount according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for controlling the nitrogen production amount according to any one of claims 1 to 6 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for controlling the nitrogen production amount according to any one of claims 1 to 6 is implemented.

Images