Refrigerator muting method

Abstract

The invention provides a refrigerator muting method, the method is applied to a muting refrigerator, the muting refrigerator comprises a muting mode and a conventional mode, and the method comprises the steps that real-time range data of a preset area in front of a door body of the muting refrigerator are obtained; generating a detection result according to the real-time range data, wherein the detection result is used for representing whether a moving object is close to or far away from the mute refrigerator; and generating a control instruction according to the detection result, wherein the control instruction is used for driving the mute refrigerator to operate in a mute mode or a conventional mode. By means of the method, the problem that an existing refrigerator muting technology cannot meet the refrigerating and muting requirements at the same time is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart home, and in particular to a refrigerator silencing method. Background Art

[0002] As one of the key indicators to measure refrigerator performance and user experience, refrigerator noise has long been a concern of consumers. With the rapid advancement of technology, the electronic components inside refrigerators have undergone significant technological upgrades, and the iterative updates of intelligent control systems have brought revolutionary changes to the energy efficiency and quietness of refrigerators. In recent years, major refrigerator manufacturers have announced that the noise value of their products has decreased year by year. This is not only due to the progress of material science, which makes the refrigerator box structure more solid and the sound insulation effect better, but also due to the continuous optimization of motor technology and variable frequency control strategies, which makes the operation of compressors and fans more stable and efficient.

[0003] In order to meet the needs of users for an extremely quiet environment during specific periods of time, high-end refrigerators on the market are generally equipped with an intelligent quiet period function. This technology can automatically identify and adapt to the user's work and rest habits through built-in sensors and advanced algorithms. For example, during the night rest period, the refrigerator's compressor and fan speed are automatically adjusted to a preset low-noise operation mode. This mode ensures that the refrigerator maintains its basic refrigeration function while minimizing noise emissions, providing users with a quiet resting environment. However, during non-quiet periods, the refrigerator will flexibly adjust the speed of the compressor and fan according to the real-time monitored internal temperature and external environmental conditions to maintain the best refrigeration effect and energy efficiency ratio.

[0004] Although this intelligent silent period design has alleviated the interference of refrigerator noise on users' lives to a certain extent, there are still some limitations. For example, when users need to approach the refrigerator frequently for some reason, even in the silent period, the compressor and fan running at low speed may still produce enough noise to attract users' attention, especially in a quiet indoor environment. This effect is particularly obvious. In addition, in some special situations, such as when users have just put hot and wet food into the refrigerator, the refrigerator needs to quickly lower the internal temperature to maintain the freshness of the food. However, if the current ambient temperature is low and the compressor and fan run at a low speed according to the preset silent mode, the refrigerator may find it difficult to respond quickly to this high heat load demand, resulting in the inability to reach the ideal refrigeration temperature for a long time, which in turn affects the normal refrigeration efficiency of the refrigerator and the quality of food preservation. Summary of the invention

[0005] The present application provides a refrigerator silencing method to solve the problem that the existing refrigerator silencing technology cannot meet the refrigeration and silencing requirements at the same time.

[0006] The method is used for a silent refrigerator, the silent refrigerator includes a silent mode and a normal mode, and the method includes:

[0007] Obtain real-time range data of a preset area in front of a door of a silent refrigerator;

[0008] generating a detection result according to the real-time range data, the detection result being used to indicate whether a moving object is approaching or moving away from the silent refrigerator;

[0009] A control instruction is generated according to the detection result, and the control instruction is used to drive the silent refrigerator to operate in a silent mode or a normal mode.

[0010] Preferably, the step of obtaining real-time range data of a preset area in front of the door of the silent refrigerator includes:

[0011] Setting the preset area in front of the door of the silent refrigerator;

[0012] The object data within the preset area is recorded to obtain the real-time range data.

[0013] Preferably, the step of recording the object data within the preset area includes:

[0014] The object data within the preset area is recorded by a video detection method and / or a heat source detection method.

[0015] Preferably, the step of generating a detection result according to the real-time range data comprises:

[0016] Extracting real-time video images recorded by the video detection method;

[0017] Generate a first analysis result according to the real-time video image, wherein the first analysis result is used to represent the situation of the moving object in the real-time video image;

[0018] Extracting a real-time heat source image recorded by the heat source detection method;

[0019] generating a second analysis result according to the real-time heat source image, wherein the second analysis result is used to represent the situation of the moving object in the real-time heat source image;

[0020] The detection result is generated according to the first analysis result and the second analysis result, and the detection result is used to represent the moving object situation in the superimposed visualization detection and the heat source detection.

[0021] Preferably, the step of generating a first analysis result according to the real-time video image comprises:

[0022] Acquire initial features of images at all locations within the preset area;

[0023] Recording the real-time features of images at all locations within the preset area in real time;

[0024] Feature comparison is performed based on the initial features of the image and the real-time features of the image to obtain the first analysis result.

[0025] Preferably, the step of generating a second analysis result according to the real-time heat source image comprises:

[0026] Acquire initial characteristics of heat sources at all locations within the preset area;

[0027] Recording the real-time characteristics of heat sources at all locations within the preset area in real time;

[0028] A feature comparison is performed based on the initial features of the heat source and the real-time features of the heat source to obtain the second analysis result.

[0029] Preferably, the step of performing feature comparison according to the initial features of the image and the real-time features of the image comprises:

[0030] Dividing the preset area into a first area and a second area, wherein the first area is an area in the preset area close to one side of the silent refrigerator, and the second area is an area in the preset area far from one side of the silent refrigerator;

[0031] Perform feature comparison based on the real-time features of the image located in the second area and the initial features of the image to obtain a first sub-analysis result;

[0032] A feature comparison is performed based on the real-time feature of the image located in the first area and the initial feature of the image to obtain a second sub-analysis result, and the first analysis result includes the first sub-analysis result and the second sub-analysis result.

[0033] Preferably, the step of performing feature comparison based on the initial feature of the heat source and the real-time feature of the heat source comprises:

[0034] Performing feature comparison according to the real-time feature of the heat source located in the second area and the initial feature of the heat source to obtain a third sub-analysis result;

[0035] A feature comparison is performed based on the real-time feature of the heat source located in the first area and the initial feature of the heat source to obtain a fourth sub-analysis result, and the second analysis result includes the third sub-analysis result and the fourth sub-analysis result.

[0036] Preferably, the step of generating a control instruction according to the detection result includes:

[0037] Extracting the first sub-analysis result, the second sub-analysis result, the third sub-analysis result, and the fourth sub-analysis result respectively according to the detection result;

[0038] Determine whether a feature distinction overlap rate between the first sub-analysis result and the third sub-analysis result, and / or between the second sub-analysis result and the fourth sub-analysis result is greater than an overlap threshold;

[0039] If so, a first control instruction or a second control instruction is generated, the first control instruction is used to drive the silent refrigerator to operate at a first power, and the second control instruction is used to drive the silent refrigerator to operate at a second power. The first power is smaller than the power in the normal mode, and the first power is greater than the second power.

[0040] Preferably, the method further comprises:

[0041] When the detection result indicates that a moving object enters the preset area and leaves the preset area, obtaining the real-time temperature inside the silent refrigerator;

[0042] Determining whether the real-time temperature is greater than a temperature threshold;

[0043] If yes, maintain the original refrigerator operation mode;

[0044] If not, a third control instruction is generated, and the real-time third control instruction is used to drive the silent refrigerator to operate in a normal mode.

[0045] As can be seen from the above content, the present application provides a refrigerator silent method, the method is applied to a silent refrigerator, the silent refrigerator includes a silent mode and a normal mode, the method includes: obtaining real-time range data of a preset area in front of the door of the silent refrigerator; generating a detection result according to the real-time range data, the detection result is used to indicate whether there is a moving object approaching or moving away from the silent refrigerator; generating a control instruction according to the detection result, the control instruction is used to drive the silent refrigerator to operate in a silent mode or a normal mode. The present application solves the problem that the existing refrigerator silent technology cannot meet the requirements of refrigeration and silence at the same time through the above method. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] 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.

[0047] Figure 1 A flowchart of a refrigerator silencing method is provided for this application;

[0048] Figure 2 A flowchart of obtaining real-time range data in a refrigerator silencing method for the present application;

[0049] Figure 3 A flowchart of generating a detection result in a refrigerator silencing method of the present application;

[0050] Figure 4 A flowchart of generating a first analysis result in a refrigerator silencing method of the present application;

[0051] Figure 5 A flowchart of generating a second analysis result in a refrigerator silencing method of the present application;

[0052] Figure 6 This is a schematic plan view of a first embodiment of a refrigerator silencing method of the present application;

[0053] Figure 7 This is a schematic plan view of a second embodiment of a refrigerator silencing method of the present application;

[0054] Figure 8 This is a schematic plan view of a preset area in a refrigerator silencing method of the present application. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] It should be noted that the brief description of terms in this application is only for the convenience of understanding the embodiments described below, and is not intended to limit the embodiments of this application. Unless otherwise specified, these terms should be understood according to their common and usual meanings.

[0057] It should be noted that, in this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0058] Refrigerator noise has always been an important indicator for consumers to evaluate the quality of refrigerators. With the technological upgrade of refrigerator electronic components and the iteration of intelligent control methods, the noise value of refrigerators is claimed to be declining year by year. Among them, in order to prevent users from being disturbed by the noise of the refrigerator during the period when silence is required, the existing technology will set the corresponding silent period, control the operating speed of the refrigerator's compressor and fan to a low-noise operating mode, and then adjust the speed according to the temperature during the non-silent period. Although this method can reduce the noise of the refrigerator during the period when the user needs silence, it will cause noise interference to the user when the user is close to the refrigerator, or the compressor and fan speed corresponding to the current ambient temperature of the refrigerator are low, causing the refrigerator to be placed in a high heat load such as hot and wet food that requires the refrigerator to heat up quickly. , The temperature cannot be reached for a long time and cannot meet the normal refrigeration needs of the refrigerator.

[0059] Therefore, although the existing technology can reduce the noise of the refrigerator during the period when the user needs silence, it will cause noise interference to the user when the user is close to the refrigerator. Or, the compressor and fan speeds corresponding to the current ambient temperature of the refrigerator are low, resulting in the refrigerator being placed in hot and wet food and other high heat load conditions that require the refrigerator to heat up quickly. The target temperature cannot be reached for a long time and the normal refrigeration needs of the refrigerator cannot be met.

[0060] Based on the above problems, the present application provides the following embodiments.

[0061] Figure 1 The present invention is a flowchart of a refrigerator silencing method.

[0062] See also Figure 1 It can be seen that this embodiment provides a refrigerator silent method, the method is applied to a silent refrigerator, the silent refrigerator includes a silent mode and a normal mode, and the method includes:

[0063] S100, obtain real-time range data of a preset area in front of the door of the silent refrigerator. Specifically, in the present embodiment, the silent processing of the refrigerator is performed when the user approaches the refrigerator. Before the silent processing of the refrigerator is performed, it is necessary to determine whether the user is close to the refrigerator. Therefore, before the silent processing is performed, it is necessary to obtain data around the silent refrigerator, and use these data to achieve silencing of the refrigerator.

[0064] Figure 2 The present invention provides a flowchart for obtaining real-time range data in a refrigerator silencing method.

[0065] For further information, see Figure 2 It can be seen that, further, in some embodiments, the step of obtaining real-time range data of a preset area in front of the door of the silent refrigerator includes:

[0066] S110, setting the preset area in front of the door of the silent refrigerator;

[0067] S120, recording the object data within the preset area to obtain the real-time range data.

[0068] Specifically, in this embodiment, before performing the refrigerator silencing process, it is necessary to first set a specific silencing range for the silent refrigerator, that is, to set the preset area for the silent refrigerator, and the definition range of this area is a certain area in front of the refrigerator door of the silent refrigerator.

[0069] It should be noted that the preset area can be set by the user. It can be understood that the preset area is set according to different needs of the user, such as the size of the empty space in front of the refrigerator, such as setting the preset area to a trapezoidal area of ​​1 meter or a sector area with a radius of 2 meters. The setting of the preset area can be referred to Figure 6 , Figure 7 and / or Figure 8 .

[0070] The real-time range data may be acquired by installing a sensing device on the silent refrigerator and acquiring data through the sensing device. The specific data content of the real-time range data may include heat source data and video data.

[0071] The method of recording the object data in the preset area may be to record the object data in the preset area through a video detection method and / or a heat source detection method.

[0072] Exemplarily, the video detection method alone can be used to monitor in real time whether there is a moving object entering the preset area in front of the silent refrigerator through a visualization method, and when there is a moving object, this situation is determined as a user approaching the silent refrigerator, and the refrigerator is subsequently muted.

[0073] Exemplarily, the heat source detection method can be used alone, that is, by real-time monitoring whether there is any heat source change in the real-time preset area in front of the real-time silent refrigerator, and when the heat source change occurs, it is determined that the user is approaching the silent refrigerator, and the refrigerator is subsequently muted.

[0074] For example, considering that some users may have sweeping robots or pets at home, and these objects do not meet the silent refrigerator's silent requirements even if they are within the preset area of ​​the silent refrigerator, but the single setting of the video detection method or the heat source detection method cannot effectively avoid these situations. Therefore, the video detection method and the heat source detection method can also be used in combination, and the effectiveness of refrigerator silencing can be further improved through overlapping detection of the two.

[0075] The method further comprises:

[0076] S200: Generate a detection result according to the real-time range data, where the detection result is used to indicate whether a moving object is approaching or moving away from the silent refrigerator.

[0077] Specifically, in this embodiment, after the real-time range data is acquired, it is necessary to perform moving object detection based on the real-time range data, so as to understand in real time whether the user is approaching or moving away from the silent refrigerator.

[0078] Figure 3 The present invention provides a flowchart for generating detection results in a refrigerator silencing method.

[0079] See also Figure 3 It can be seen that, further, in some embodiments, the step of generating a detection result according to the real-time range data includes:

[0080] S210, extracting the real-time video image recorded by the video detection method;

[0081] S220: Generate a first analysis result according to the real-time video image, where the first analysis result is used to represent the situation of the moving object in the real-time video image.

[0082] Specifically, in this embodiment, since the real-time range data includes multiple types of data, and different processing is required for each different type of data, after acquiring the real-time range data, it is necessary to extract different data from the real-time range data according to different processing and perform corresponding processing.

[0083] In steps S210 to S220, the real-time video image corresponding to the video detection method is extracted from the real-time range data, and moving object detection is performed on the real-time video image at the image level, thereby obtaining the first analysis result for characterizing the situation of moving objects in the real-time video image.

[0084] Figure 4 The present invention provides a flowchart for generating a first analysis result in a refrigerator silencing method.

[0085] See also Figure 4 It can be seen that, further, in some embodiments, the step of generating a first analysis result according to the real-time video image includes:

[0086] S221, obtaining initial features of images at all positions in the preset area;

[0087] S222, recording real-time features of images at all locations within the preset area;

[0088] S223: Perform feature comparison according to the initial features of the image and the real-time features of the image to obtain the first analysis result.

[0089] Specifically, in this embodiment, steps S221 to S223 can be understood as "difference detection" of the video image, that is, the initial image features of all positions in the preset area are obtained in advance, and then real-time video monitoring of the area is performed, and the real-time image features obtained from each monitoring are compared with the initial image features, so that the difference between the two can be obtained, that is, the first analysis result used to characterize the feature difference is obtained.

[0090] Among them, all positions in the preset area are determined according to the user's customization. If the preset area is a reference Figure 6 or Figure 7 The trapezoidal area in the preset area is the position of each position in the trapezoidal area. Similarly, if the preset area is the reference area Figure 8 If it is a sector-shaped area in the fan-shaped area, then all positions in the preset area are every position in the fan-shaped area.

[0091] The step of generating a detection result according to the real-time range data further comprises:

[0092] S230, extracting a real-time heat source image recorded by the heat source detection method;

[0093] S240, generating a second analysis result according to the real-time heat source image, wherein the second analysis result is used to represent the situation of the moving object in the real-time heat source image.

[0094] Specifically, in this embodiment, in steps S230 to S240, the real-time heat source image corresponding to the heat source detection method is extracted from the real-time range data, and moving object detection is performed on the real-time heat source image at the heat source level, so as to obtain the second analysis result for characterizing the situation of moving objects in the real-time heat source image.

[0095] It should be noted that steps S210 to S220 and steps S230 to S240 are performed simultaneously, rather than steps S210 and S220 being performed first and then steps S230 and S240.

[0096] Figure 5 The present invention provides a flowchart for generating a second analysis result in a refrigerator silencing method.

[0097] See also Figure 5 It can be seen that, further, in some embodiments, the step of generating a second analysis result according to the real-time heat source image includes:

[0098] S241, obtaining initial characteristics of heat sources at all locations in the preset area;

[0099] S242, recording real-time characteristics of heat sources at all locations in the preset area;

[0100] S243, performing feature comparison according to the initial feature of the heat source and the real-time feature of the heat source to obtain the second analysis result.

[0101] Specifically, in this embodiment, steps S241 to S243 can be understood as "difference detection" of the heat source image, that is, the initial characteristics of the heat source at all positions in the preset area are obtained in advance, and then the real-time heat source monitoring of the area is performed, and the real-time characteristics of the heat source obtained from each monitoring are compared with the initial characteristics of the heat source, so that the difference between the two can be obtained, that is, the second analysis result used to characterize the feature difference is obtained.

[0102] It should be noted that both the image initial features and the heat source initial features are determined according to the layout of the user's home. Therefore, it can be understood that the image initial features and the heat source initial features can be set by the user or adjusted over time.

[0103] For example, the heat source image in winter and the heat source image in summer are completely different, so it is necessary to adaptively adjust the initial characteristics of the heat source.

[0104] The step of generating a detection result according to the real-time range data further comprises:

[0105] S250, generating the detection result according to the first analysis result and the second analysis result, wherein the detection result is used to represent the moving object situation in the superimposed visualization detection and the heat source detection.

[0106] Specifically, in this embodiment, the combination of the video detection method and the heat source detection method is taken as an example, that is, by combining the detection data of the video detection method and the heat source detection method, and superimposing two different reference data in the combined detection results for similar moving object detection, factors such as sweeping robots intervening in the silent processing of the refrigerator can be avoided.

[0107] The method further comprises:

[0108] S300, generating a control instruction according to the detection result, wherein the control instruction is used to drive the silent refrigerator to operate in a silent mode or a normal mode.

[0109] Specifically, in this embodiment, the corresponding control instructions are generated according to the detection results, and the operation mode of the silent refrigerator is regulated by these control instructions, so that the silent refrigerator can be automatically switched between the silent mode and the normal mode. When the user approaches the silent refrigerator, the refrigerator will be silent, and when the user is away from the silent refrigerator, the refrigerator will be operated normally. This not only makes the refrigerator silent, but also ensures the normal operation of the refrigerator refrigeration.

[0110] Among them, further, in some embodiments, the method also includes obtaining the real-time temperature inside the silent refrigerator when the detection result indicates that a moving object enters the preset area and leaves the preset area; determining whether the real-time temperature is greater than a temperature threshold; if so, maintaining the original refrigerator operation mode; if not, generating a third control instruction, and the third control instruction is used to drive the silent refrigerator to operate in a normal mode.

[0111] Specifically, in the present embodiment, taking into account the problem that the internal temperature of the silent refrigerator may be too high or too low when the refrigerator is adjusted in silent mode and normal mode, the present embodiment also introduces the temperature factor while adjusting the silent refrigerator, and determines whether the internal temperature of the silent refrigerator is greater than the temperature threshold after the user approaches the silent refrigerator and leaves, and further adjusts the operation of the refrigerator according to the temperature.

[0112] The power adjustment of the silent refrigerator may be understood as adjusting the power of the compressor and / or the refrigeration fan of the silent refrigerator.

[0113] Figure 6 This is a plan view of a first embodiment of a refrigerator silencing method of the present application.

[0114] Figure 7 This is a plan view of a second embodiment of a refrigerator silencing method of the present application.

[0115] See also Figure 6 and Figure 7 It can be seen that this embodiment further divides the preset areas, and the mute control in different preset areas is also different, so this embodiment provides the following two embodiments as reference.

[0116] Embodiment 1:

[0117] Before performing silent control, it is necessary to explain the division of the preset area. In this embodiment, the preset area is divided into the first area and the second area, wherein the first area is the area in the preset area close to the silent refrigerator, and the second area is the area in the preset area away from the silent refrigerator.

[0118] Since different areas are at different distances from the silent refrigerator, the noise generated has different impacts on users. Therefore, different silent controls are required for areas at different distances. In this embodiment, silent processing is performed on the first area which is closer to the silent refrigerator.

[0119] A feature comparison is performed based on the real-time features of the image located in the first area and the initial features of the image to obtain a second sub-analysis result.

[0120] A feature comparison is performed based on the real-time features of the heat source located in the first area and the initial features of the heat source to obtain a fourth sub-analysis result.

[0121] It is determined whether a feature distinction overlap rate between the second sub-analysis result and the fourth sub-analysis result is greater than an overlap threshold.

[0122] If so, a second control instruction is generated, where the second control instruction is used to drive the silent refrigerator to operate at a second power.

[0123] Embodiment 2:

[0124] In this embodiment, the sound-proofing treatment is performed in a second area away from the sound-proof refrigerator.

[0125] A feature comparison is performed based on the real-time features of the image located in the second area and the initial features of the image to obtain a first sub-analysis result.

[0126] A feature comparison is performed based on the real-time features of the heat source located in the second area and the initial features of the heat source to obtain a third sub-analysis result.

[0127] It is determined whether a feature distinction overlap rate between the first sub-analysis result and the third sub-analysis result is greater than an overlap threshold.

[0128] If so, a first control instruction is generated, where the first control instruction is used to drive the silent refrigerator to operate at a first power.

[0129] It should be noted that the first power is smaller than the power in the normal mode, and the first power is larger than the second power.

[0130] This embodiment has the following advantages:

[0131] This embodiment solves the problem of automatic mute of the refrigerator when the user approaches the refrigerator through a proximity-type mute mode, and immediately switches to the normal mode when the user moves away from the refrigerator, thereby ensuring the original refrigeration effect of the refrigerator and avoiding the problem of damage to items stored in the refrigerator or loss of freshness due to the conventional low-power mute mode.

[0132] For the convenience of explanation, the above description has been made in conjunction with specific embodiments. However, the above discussion in some embodiments is not intended to be exhaustive or limit the embodiments to the specific forms disclosed above. According to the above teachings, various modifications and variations can be obtained. The selection and description of the above embodiments are intended to better explain the content of this disclosure, so that those skilled in the art can better use the embodiments.

Claims

1. A refrigerator silencing method, characterized in that: The method is applied to a silent refrigerator, the silent refrigerator includes a silent mode and a normal mode, and the method includes: Obtain real-time range data of a preset area in front of a door of a silent refrigerator; generating a detection result according to the real-time range data, the detection result being used to indicate whether a moving object is approaching or moving away from the silent refrigerator; A control instruction is generated according to the detection result, and the control instruction is used to drive the silent refrigerator to operate in a silent mode or a normal mode.

2. A refrigerator silencing method according to claim 1, characterized in that: The step of obtaining real-time range data of a preset area in front of the door of the silent refrigerator comprises: Setting the preset area in front of the door of the silent refrigerator; The object data within the preset area is recorded to obtain the real-time range data.

3. A refrigerator silencing method according to claim 2, characterized in that: The step of recording the object data within the preset area comprises: The object data within the preset area is recorded by a video detection method and / or a heat source detection method.

4. A refrigerator silencing method according to claim 3, characterized in that: The step of generating a detection result according to the real-time range data comprises: Extracting real-time video images recorded by the video detection method; Generate a first analysis result according to the real-time video image, wherein the first analysis result is used to represent the situation of the moving object in the real-time video image; Extracting a real-time heat source image recorded by the heat source detection method; generating a second analysis result according to the real-time heat source image, wherein the second analysis result is used to represent the situation of the moving object in the real-time heat source image; The detection result is generated according to the first analysis result and the second analysis result, and the detection result is used to represent the moving object situation in the superimposed visualization detection and the heat source detection.

5. A refrigerator silencing method according to claim 4, characterized in that: The step of generating a first analysis result according to the real-time video image comprises: Acquire initial features of images at all locations within the preset area; Recording the real-time features of images at all locations within the preset area in real time; Feature comparison is performed based on the initial features of the image and the real-time features of the image to obtain the first analysis result.

6. A refrigerator silencing method according to claim 5, characterized in that: The step of generating a second analysis result according to the real-time heat source image comprises: Acquire initial characteristics of heat sources at all locations within the preset area; Recording the real-time characteristics of heat sources at all locations within the preset area in real time; A feature comparison is performed based on the initial features of the heat source and the real-time features of the heat source to obtain the second analysis result.

7. A refrigerator silencing method according to claim 6, characterized in that: The step of performing feature comparison according to the initial features of the image and the real-time features of the image comprises: Dividing the preset area into a first area and a second area, wherein the first area is an area in the preset area close to one side of the silent refrigerator, and the second area is an area in the preset area far from one side of the silent refrigerator; Perform feature comparison based on the real-time features of the image located in the second area and the initial features of the image to obtain a first sub-analysis result; A feature comparison is performed based on the real-time feature of the image located in the first area and the initial feature of the image to obtain a second sub-analysis result, wherein the first analysis result includes the first sub-analysis result and the second sub-analysis result.

8. A refrigerator silencing method according to claim 7, characterized in that: The step of performing feature comparison according to the initial feature of the heat source and the real-time feature of the heat source comprises: Performing feature comparison according to the real-time feature of the heat source located in the second area and the initial feature of the heat source to obtain a third sub-analysis result; A feature comparison is performed based on the real-time feature of the heat source located in the first area and the initial feature of the heat source to obtain a fourth sub-analysis result, and the second analysis result includes the third sub-analysis result and the fourth sub-analysis result.

9. A refrigerator silencing method according to claim 8, characterized in that: The step of generating a control instruction according to the detection result comprises: Extracting the first sub-analysis result, the second sub-analysis result, the third sub-analysis result, and the fourth sub-analysis result respectively according to the detection result; Determine whether a feature distinction overlap rate between the first sub-analysis result and the third sub-analysis result, and / or between the second sub-analysis result and the fourth sub-analysis result is greater than an overlap threshold; If so, a first control instruction or a second control instruction is generated, the first control instruction is used to drive the silent refrigerator to operate at a first power, and the second control instruction is used to drive the silent refrigerator to operate at a second power. The first power is smaller than the power in the normal mode, and the first power is greater than the second power.

10. A refrigerator silencing method according to claim 1, characterized in that: The method further comprises: When the detection result indicates that a moving object enters the preset area and leaves the preset area, obtaining the real-time temperature inside the silent refrigerator; Determining whether the real-time temperature is greater than a temperature threshold; If yes, maintain the original refrigerator operation mode; If not, a third control instruction is generated, and the third control instruction is used to drive the silent refrigerator to operate in a normal mode.

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