Article measurement method applied to vehicle-mounted refrigerator, and apparatus therefor

Abstract

An article measurement method applied to a vehicle-mounted refrigerator, and an apparatus therefor. The method comprises: acquiring weight data K0 of articles in a refrigerator drawer; preforming comparative analysis on the acquired article weight data K0 and preset comparison factors; and, on the basis of a comparative analysis result, determining whether to start an alarm or notify a user.

Description

An object detection method and device applied to a vehicle refrigerator Technical Field

[0001] The present invention relates to the field of refrigerator article detection, and in particular to an article detection method and device applied to a vehicle-mounted refrigerator. Background Art

[0002] The passenger car market is developing rapidly, especially with the development of new energy passenger cars. Users are increasingly demanding the configuration of their car life. Car refrigerators have become an indispensable configuration, enriching the user's car life experience.

[0003] Users are accustomed to placing common items such as beverages in car refrigerators. An investigation found that detecting these common items to remind users of item-related information is a very popular function of car refrigerators. However, at present, there are few car refrigerators equipped with item detection. Even if there is an item detection system, its function is very simple. It only detects whether there are items in the car refrigerator, which cannot meet the actual usage needs of users. Therefore, further improvements are needed.

[0004] Summary of the Invention

[0005] To solve the above problems in the prior art, an embodiment of the present invention provides an object detection method for a vehicle refrigerator, comprising:

[0006] Get the weight data K0 of the items in the refrigerator drawer;

[0007] Compare and analyze the obtained item weight data K0 with the preset comparison factors;

[0008] Based on the comparison and analysis results, it is determined whether to activate an alarm or remind the user.

[0009] On the other hand, an embodiment of the present invention further provides a device, including:

[0010] The first acquisition module is used to obtain the weight data K0 of the items in the refrigerator drawer;

[0011] A first comparison and analysis module is used to compare and analyze the obtained item weight data K0 with preset comparison factors;

[0012] The alarm module is used to determine whether to start an alarm or remind the user based on the comparison and analysis results.

[0013] In the present invention, the weight data of items in the refrigerator drawer can be obtained, and based on the weight data, it is compared and analyzed with multiple comparison factors to make a judgment and give an alarm, or remind the user; and, in the present invention, big data analysis can be performed based on the weight data of items obtained multiple times, so as to summarize and analyze the user's usage habits in order to make more targeted reminders; again, in the present invention, it can also be connected to an external mobile terminal to send information about items in the car refrigerator and receive instructions from the external mobile terminal; therefore, the method and device of the present invention have good application effects, rich functions, and strong practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0015] FIG1 is a flow chart of a first embodiment of an article detection method for a vehicle refrigerator according to the present invention;

[0016] FIG2 is a flow chart of a second embodiment of an article detection method for a vehicle refrigerator according to the present invention;

[0017] FIG3 is a flow chart of a third embodiment of a method for detecting objects in a vehicle refrigerator according to the present invention;

[0018] FIG4 is a flow chart of a fourth embodiment of an article detection method applied to a vehicle refrigerator according to the present invention;

[0019] FIG5 is a flow chart of a fifth embodiment of a method for detecting objects in a vehicle refrigerator according to the present invention;

[0020] FIG6 is a schematic structural diagram of a first embodiment of the device of the present invention;

[0021] FIG7 is a schematic structural diagram of a second embodiment of the device of the present invention;

[0022] FIG8 is a schematic structural diagram of a third embodiment of the device of the present invention;

[0023] FIG9 is a schematic structural diagram of a fourth embodiment of the device of the present invention. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0025] First embodiment of the method

[0026] FIG1 is a flow chart of a first embodiment of a method for detecting objects in a vehicle refrigerator according to the present invention. The method includes:

[0027] Step S1: Obtain weight data K0 of items in a refrigerator drawer;

[0028] Step S2: performing a comparison analysis based on the obtained item weight data K0 and the preset comparison factors;

[0029] Step S3: Determine whether to activate an alarm or remind the user based on the comparison and analysis results.

[0030] For example, in step S1 of this embodiment, the method of obtaining the weight data K0 of the items in the refrigerator drawer includes:

[0031] Four half-bridge resistive sensors are arranged at the four corners of the bottom of the refrigerator drawer. They are connected in parallel to form a full-bridge circuit. A support plate is installed on the four sensors, and items are placed on the support plate. The gravity of the items acts on the support plate, which is transmitted to the deformation part of the sensor, causing a change in resistance. Through the AD circuit, the resistance value is converted into a gravity value to obtain the weight data K0.

[0032] As another embodiment, the vehicle refrigerator may be provided with a beverage area and a fruit area, and the quantity of items in the beverage area and the fruit area are obtained respectively;

[0033] The method of separately obtaining the quantity of items in the beverage area and the fruit area includes setting up a camera device to identify the quantity of items in the beverage area and the fruit area in the refrigerator through the captured images.

[0034] In step S2, the comparison factors may include multiple factors, such as weight value, quantity value and time value.

[0035] Second embodiment of the method

[0036] FIG2 is a flow chart of a second embodiment of a method for detecting items in a vehicle refrigerator according to the present invention. The method includes:

[0037] Step S4: Setting the minimum detection time T0 and the no-change detection time T1;

[0038] Step S1: Obtain weight data K0 of items in a refrigerator drawer;

[0039] In this embodiment, in step S1, obtaining the item weight data K0 is obtaining the item weight data exceeding the shortest detection time T0;

[0040] Exemplarily, the shortest detection time T0 is set to 2 seconds. Then, in step S1, the item weight data K0 obtained is valid only if it is more than 2 seconds. This is mainly to prevent the vehicle from bumping during running, causing the items in the refrigerator to bounce briefly, resulting in weight changes and errors.

[0041] Step S2: performing a comparison analysis based on the obtained item weight data K0 and the preset comparison factors;

[0042] The principle of this step is the same as that of the corresponding step in the first embodiment of the method, and will not be repeated here.

[0043] Step S3: Determine whether to activate an alarm or remind the user based on the comparison and analysis results.

[0044] The principle of this step is the same as that of the corresponding step in the first embodiment of the method, and will not be repeated here.

[0045] In this embodiment, if the change value of the item weight data K0 is less than the preset change threshold after exceeding the no-change detection time T1, an alarm is activated, or a reminder is given to the user, indicating that the item has not been taken for a long time; illustratively, the no-change detection time T1 is set to 10 days, or 15 days, etc.; the preset change threshold can be set to 200g, or 500g, etc.; therefore, if the item weight data K0 exceeds 10 days and its weight change value is within the range of 200g, it means that most of the items in the refrigerator may not have been taken, there is a risk of expiration, and they need to be cleaned up in time.

[0046] Third embodiment of the method

[0047] FIG3 is a flow chart of a third embodiment of a method for detecting items in a vehicle refrigerator according to the present invention. The method includes:

[0048] Step S5: setting a first preset weight threshold K1 and a second preset weight threshold K2;

[0049] Step S4: Setting the minimum detection time T0 and the no-change detection time T1;

[0050] The principle of this step is the same as that of the corresponding step in the second embodiment of the method, and will not be repeated here.

[0051] Step S1: Obtain weight data K0 of items in a refrigerator drawer;

[0052] The principle of this step is the same as that of the corresponding step in the second embodiment of the method, and will not be repeated here.

[0053] Step S2: performing a comparison analysis based on the obtained item weight data K0 and the preset comparison factors;

[0054] In this embodiment, step S2 includes:

[0055] If the item weight data K0 is less than the first preset weight threshold K1, an alarm is activated, or a reminder is given to the user, indicating that the item is insufficient;

[0056] If the item weight data K0 is greater than the second preset weight threshold K2, an alarm is activated, or a reminder is given to the user, indicating that the item storage is full.

[0057] Step S3: Determine whether to activate an alarm or remind the user based on the comparison and analysis results.

[0058] In this embodiment, for example, the first preset weight threshold K1 is set to 300g, because a small bottle of cola or other beverage is generally about 350ml, or an apple weighs 100g. If the detected item weight data K0 is less than 300g, it means that there is not a single bottle of water in the car refrigerator, and an alarm is activated, or a reminder is given to the user, indicating that the item is insufficient.

[0059] For example, the maximum capacity of the car refrigerator is the second preset weight threshold K2, which generally can hold 6-10 bottles of beverages or 3-5 kilograms of fruits such as apples. In this case, K2 is set to 3000g. If the item weight data K0 is detected to be greater than 3000g, an alarm is activated, or a reminder is given to the user, indicating that the items are full, and reminding the user that there is no need to purchase new items to put in the refrigerator.

[0060] Fourth embodiment of the method

[0061] FIG4 is a flow chart of a fourth embodiment of a method for detecting objects in a vehicle refrigerator according to the present invention. The method includes:

[0062] Step S5: setting a first preset weight threshold K1 and a second preset weight threshold K2;

[0063] The principle of this step is the same as that of the corresponding step in the third embodiment of the method, and will not be repeated here.

[0064] Step S4: Setting the minimum detection time T0 and the no-change detection time T1;

[0065] The principle of this step is the same as that of the corresponding step in the second embodiment of the method, and will not be repeated here.

[0066] Step S1: Obtain weight data K0 of items in a refrigerator drawer;

[0067] The principle of this step is the same as that of the corresponding step in the first embodiment of the method, and will not be repeated here.

[0068] Step S6: Obtain the change value of the weight data K0 of the item when it changes for the most recent N times;

[0069] Step S7: Analyze and obtain the user's habit factors based on the change parameters of the item weight data K0 during the most recent N changes; the habit factors include the K0 change time period or the K0 change amount;

[0070] For example, in this embodiment, the change values ​​of the item weight data K0 for the last 20 times are obtained for big data analysis. For example, if 10 of the last 20 times change between 1:00 PM and 2:00 PM, or between 5:00 PM and 6:00 PM, it means that the user of the vehicle often takes items from the refrigerator between 1:00 PM and 2:00 PM or between 5:00 PM and 6:00 PM.

[0071] For another example, in the most recent 20 times, the weight of the items decreased by 700 g in 10 of the times, which means that the user of the vehicle often takes 2 bottles of water each time, and there may be 2 people riding in the vehicle frequently.

[0072] Step S8: Automatically start the vehicle refrigerator refrigeration system in advance based on habit factors; or remind the user whether the number of items is sufficient based on habit factors.

[0073] In this step, operations are performed according to the analysis results of step S7; for example, the car refrigerator refrigeration system is automatically turned on half an hour in advance before 1 pm and 5 pm; or when the weight of the items in the car refrigerator is less than 700g, or less than 1400g (less than 4 bottles of water, only enough for two people to use once), the user is reminded or an alarm is sounded.

[0074] Step S2: performing a comparison analysis based on the obtained item weight data K0 and the preset comparison factors;

[0075] The principle of this step is the same as that of the corresponding step in the first embodiment of the method, and will not be repeated here.

[0076] Step S3: Determine whether to activate an alarm or remind the user based on the comparison and analysis results.

[0077] The principle of this step is the same as that of the corresponding step in the first embodiment of the method, and will not be repeated here.

[0078] It should be noted that, in this embodiment, step S7 and step S8 are executed simultaneously with step S1 and step S2.

[0079] Fifth embodiment of the method

[0080] FIG5 is a flow chart of a fourth embodiment of a method for detecting objects in a vehicle refrigerator according to the present invention. The method includes:

[0081] Step S91: The vehicle refrigerator is connected to an external mobile terminal via wireless;

[0082] Step S1: Obtain weight data K0 of items in a refrigerator drawer;

[0083] Step S92: the external mobile terminal obtains the weight data K0 of the items in the vehicle refrigerator;

[0084] Step S93: The external mobile terminal reminds the user whether to add items based on the item weight data K0, or sends an instruction to the vehicle refrigerator;

[0085] Step S2: performing a comparison analysis based on the obtained item weight data K0 and the preset comparison factors;

[0086] The principle of this step is the same as that of the corresponding step in the first embodiment of the method, and will not be repeated here.

[0087] Step S3: Determine whether to activate an alarm or remind the user based on the comparison and analysis results.

[0088] The principle of this step is the same as that of the corresponding step in the first embodiment of the method, and will not be repeated here.

[0089] It should be noted that, in this embodiment, step S93 and step S2 can be executed simultaneously.

[0090] Therefore, in the present invention, the mobile phone can be wirelessly connected to the car refrigerator, for example, through WIFI, Bluetooth or mobile communication traffic; after the connection, the car refrigerator sends the data of the items in the refrigerator, such as the number of drinks or fruits, to the mobile phone, so that the user knows whether the items need to be replenished; or the user sends an instruction to the car refrigerator through the mobile phone to start the refrigeration system of the car refrigerator.

[0091] First embodiment of the device

[0092] FIG6 is a schematic diagram of the structure of a first embodiment of the device of the present invention. In this embodiment, the device for the method for detecting items in a vehicle refrigerator includes:

[0093] The first acquisition module 1 is used to obtain the weight data K0 of the items in the refrigerator drawer;

[0094] A first comparison and analysis module 2 is configured to compare and analyze the acquired item weight data K0 with preset comparison factors;

[0095] The alarm module 3 is used to determine whether to start an alarm or remind the user based on the comparison and analysis results.

[0096] In the first acquisition module 1, the method of acquiring the weight data K0 of the items in the refrigerator drawer includes:

[0097] Four half-bridge resistive sensors are arranged at the four corners of the bottom of the refrigerator drawer. They are connected in parallel to form a full-bridge circuit. A support plate is installed on the four sensors, and items are placed on the support plate. The gravity of the items acts on the support plate, which is transmitted to the deformation part of the sensor, causing a change in resistance. Through the AD circuit, the resistance value is converted into a gravity value to obtain the weight data K0.

[0098] As another embodiment, the vehicle refrigerator may be provided with a beverage area and a fruit area, and the quantity of items in the beverage area and the fruit area are obtained respectively;

[0099] The method of separately obtaining the quantity of items in the beverage area and the fruit area includes setting up a camera device to identify the quantity of items in the beverage area and the fruit area in the refrigerator through the captured images.

[0100] In the first comparison and analysis module 2, the comparison factors may include multiple factors, such as weight value, quantity value and time value.

[0101] As another implementation, in this embodiment, the first acquisition module 1 can respectively obtain the quantity status of items in the beverage area and the fruit area; illustratively, the image is captured by the camera unit, and then the analysis unit is used to identify and analyze the quantity of items in the beverage area and the fruit area in the refrigerator.

[0102] Second embodiment of the device

[0103] FIG7 is a schematic diagram of the structure of a second embodiment of the device of the present invention. In this embodiment, the device further includes, before the first acquisition module:

[0104] The first setting module 4 is used to:

[0105] Set the shortest detection time T0 and the no-change detection time T1; obtain the item weight data K0 to obtain the item weight data that exceeds the shortest detection time T0;

[0106] In this embodiment, if the change value of the item weight data K0 is less than the preset change threshold after exceeding the no-change detection time T1, an alarm is activated or a reminder is given to the user, indicating that the item has not been taken for a long time.

[0107] The second setting module 5 is used to:

[0108] A first preset weight threshold K1 and a second preset weight threshold K2 are set.

[0109] Therefore, in this embodiment, if the item weight data K0 is less than the first preset weight threshold K1, an alarm is activated, or a reminder is given to the user, indicating that the item is insufficient;

[0110] If the item weight data K0 is greater than the second preset weight threshold K2, an alarm is activated, or a reminder is given to the user, indicating that the item storage is full.

[0111] The first acquisition module 1 is used to obtain the weight data K0 of the items in the refrigerator drawer;

[0112] A first comparison and analysis module 2 is configured to compare and analyze the acquired item weight data K0 with preset comparison factors;

[0113] The alarm module 3 is used to determine whether to start an alarm or remind the user based on the comparison and analysis results.

[0114] The working principles of the first acquisition module 1 , the first comparison and analysis module 2 and the alarm module 3 are the same as those of the corresponding structures in the first embodiment of the device, and are not described in detail.

[0115] Third embodiment of the device

[0116] FIG8 is a schematic structural diagram of a third embodiment of the device of the present invention. In this embodiment, the first setting module 4 is used to:

[0117] Set the shortest detection time T0 and the no-change detection time T1; obtain the item weight data K0 to obtain the item weight data that exceeds the shortest detection time T0;

[0118] The second setting module 5 is used to:

[0119] A first preset weight threshold K1 and a second preset weight threshold K2 are set.

[0120] The first acquisition module 1 is used to obtain the weight data K0 of the items in the refrigerator drawer;

[0121] The working principles of the first setting module 4 , the second setting module 5 and the first obtaining module 1 are the same as those of the corresponding structures in the second embodiment of the device, and are not described in detail.

[0122] The device further comprises a big data analysis module 6, which is used to:

[0123] The user's habit factors are analyzed and obtained based on the change parameters of the item weight data K0 for the most recent N times; the habit factors include the K0 change time period and the K0 change amount.

[0124] Therefore, in this embodiment, the refrigeration system of the vehicle refrigerator is automatically started in advance based on habit factors; or the user is reminded whether the quantity of items is sufficient based on habit factors.

[0125] A first comparison and analysis module 2 is configured to compare and analyze the acquired item weight data K0 with preset comparison factors;

[0126] The alarm module 3 is used to determine whether to start an alarm or remind the user based on the comparison and analysis results.

[0127] The working principles of the first comparison and analysis module 2 and the alarm module 3 are the same as those of the corresponding structures in the first embodiment of the device, and are not described in detail.

[0128] Fourth embodiment of the device

[0129] FIG9 is a schematic structural diagram of a fourth embodiment of the device of the present invention. In this embodiment, the device includes:

[0130] Communication module 7, used for: wireless connection to external mobile terminals;

[0131] For example, wireless connection via WIFI, Bluetooth or mobile communication traffic;

[0132] The first setting module 4 is used to:

[0133] Set the shortest detection time T0 and the no-change detection time T1; obtain the item weight data K0 to obtain the item weight data that exceeds the shortest detection time T0;

[0134] The second setting module 5 is used to:

[0135] A first preset weight threshold K1 and a second preset weight threshold K2 are set.

[0136] The first acquisition module 1 is used to obtain the weight data K0 of the items in the refrigerator drawer;

[0137] Among them, the working principles of the first setting module 4, the second setting module 5 and the first acquisition module 1 are the same as the corresponding structures in the third embodiment of the device, and are not repeated here.

[0138] A sending module 81 is used to send the weight data K0 of the items in the vehicle refrigerator to an external mobile terminal;

[0139] The receiving module 82 is configured to receive instructions sent by an external mobile terminal.

[0140] Therefore, in the present invention, the mobile phone can be wirelessly connected to the car refrigerator, for example, through WIFI, Bluetooth or mobile communication traffic; after the connection, the car refrigerator sends the data of the items in the refrigerator, such as the number of drinks or fruits, to the mobile phone, so that the user knows whether the items need to be replenished; or the user sends an instruction to the car refrigerator through the mobile phone to start the refrigeration system of the car refrigerator.

[0141] Big Data Analysis Module 6 is used to:

[0142] The user's habit factors are analyzed and obtained based on the change parameters of the item weight data K0 for the most recent N times; the habit factors include the K0 change time period and the K0 change amount.

[0143] A first comparison and analysis module 2 is configured to compare and analyze the acquired item weight data K0 with preset comparison factors;

[0144] The alarm module 3 is used to determine whether to start an alarm or remind the user based on the comparison and analysis results.

[0145] Among them, the working principles of the big data analysis module 6, the first comparison and analysis module 2 and the alarm module 3 are the same as the corresponding structures in the third embodiment of the device, and will not be repeated here.

[0146] Therefore, in the present invention, the weight data of the items in the refrigerator drawer can be obtained, and based on the weight data, it can be compared and analyzed with multiple comparison factors to make a judgment and give an alarm, or remind the user; and, in the present invention, big data analysis can be performed based on the weight data of the items obtained multiple times, so as to summarize and analyze the user's usage habits in order to make more targeted reminders; again, in the present invention, it can also be connected to an external mobile terminal to send information about the items in the car refrigerator and receive instructions from the external mobile terminal; therefore, the method and device of the present invention have good application effect, rich functions and strong practicality.

[0147] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be performed by instructing the relevant hardware through a computer program. The program can be stored in a computer-readable storage medium, and when executed, the program can include the processes in the above-described method embodiments. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0148] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An article detection method applied to a vehicle-mounted refrigerator, characterized in that, Comprising: Obtaining the weight data (K0) of the items in the refrigerator drawer; Comparing and analyzing the obtained item weight data (K0) with a preset comparison factor; Determining whether to activate an alarm or remind the user according to the result of the comparison and analysis.

2. The item detection method applied to a vehicle-mounted refrigerator according to claim 1, wherein Before the step of obtaining the weight data (K0) of the items in the refrigerator drawer, it further includes: Setting a shortest detection duration (T0) and a no-change detection duration (T1); Obtaining the item weight data (K0) is to obtain the item weight data exceeding the shortest detection time (T0); The step of comparing and analyzing the obtained item weight data (K0) with a preset comparison factor includes: If the change value of the item weight data (K0) is less than a preset change threshold after exceeding the no-change detection duration (T1), activate an alarm or remind the user, indicating that the item has not been taken for a long time; 3. The item detection method applied to a vehicle-mounted refrigerator according to claim 2, wherein Before the step of obtaining the weight data (K0) of the items in the refrigerator drawer, it further includes: Setting a first preset weight threshold (K1) and a second preset weight threshold (K2); The step of comparing and analyzing the obtained item weight data (K0) with a preset comparison factor includes: If the item weight data (K0) is less than the first preset weight threshold (K1), activate an alarm or remind the user, indicating that the item is insufficient; If the item weight data (K0) is greater than the second preset weight threshold (K2), activate an alarm or remind the user, indicating that the item storage is full.

4. The item detection method applied to a vehicle-mounted refrigerator according to claim 1, wherein After the step of obtaining the weight data (K0) of the items in the refrigerator drawer, it further includes: Obtaining the change parameters when the item weight data (K0) changes in the most recent N times; Analyzing and obtaining the user's habit factors according to the change parameters when the item weight data (K0) changes in the most recent N times; the habit factors include the item weight data (K0) change time period or the item weight data (K0) change quantity; Automatically starting the vehicle-mounted refrigerator refrigeration system in advance according to the habit factors; or reminding the user whether the item quantity is sufficient according to the habit factors.

5. The article detection method applied to a vehicle-mounted refrigerator according to claim 1, characterized in that, Including, The vehicle-mounted refrigerator is provided with a beverage area and a fruit area, and the item quantity statuses of the beverage area and the fruit area are respectively obtained; The ways of respectively obtaining the item quantity statuses of the beverage area and the fruit area include setting a camera device and identifying the item quantities in the beverage area and the fruit area of the refrigerator through the captured images; 6. The article detection method applied to a vehicle-mounted refrigerator according to claim 1, characterized in that, The way of obtaining the weight data (K0) of the items in the refrigerator drawer includes: Arranging four half-bridge resistive sensors at the four corners of the bottom of the refrigerator drawer, forming a full-bridge circuit through parallel connection, installing a support plate on the four sensors, and placing items on the support plate; the gravity of the items acts on the support plate, and the support plate transmits to the deformation part of the sensor, causing a change in resistance value; through an AD circuit, converting the resistance value into a gravity value to obtain the item weight data (K0).

7. The article detection method applied to a vehicle-mounted refrigerator according to claim 1, wherein, Including, The in-vehicle refrigerator is wirelessly connected to an external mobile terminal; The external mobile terminal obtains the item weight data (K0) of the in-vehicle refrigerator; Based on the item weight data (K0), the external mobile terminal reminds the user whether additional items are needed or sends an instruction to the in-vehicle refrigerator.

8. An apparatus applying the method according to claim 1, characterized in that, The device includes: A first acquisition module for acquiring the item weight data (K0) inside the refrigerator drawer; A first comparison and analysis module for comparing and analyzing the acquired item weight data (K0) with a preset comparison factor; An alarm module for determining whether to activate an alarm or reminding the user based on the result of the comparison and analysis.

9. The device according to claim 8, wherein The device further includes: A first setting module for: Setting the shortest detection duration (T0) and the no-change detection duration ((T1)); acquiring the item weight data (K0) means acquiring the item weight data that exceeds the shortest detection time (T0); A second setting module for: Setting a first preset weight threshold (K1) and a second preset weight threshold (K2). A big data analysis module for: Analyzing and obtaining the user's habit factors based on the change parameters when the item weight data (K0) changes in the most recent N times; the habit factors include the time period when the item weight data (K0) changes and the number of changes in the item weight data (K0); The in-vehicle refrigerator is provided with a beverage area and a fruit area, The first acquisition module includes means for respectively acquiring the item quantity status of the beverage area and the fruit area; The means for respectively acquiring the item quantity status of the beverage area and the fruit area includes setting a camera device and identifying the item quantity in the beverage area and the fruit area of the refrigerator through the captured images.

10. The device according to claim 8, characterized in that, The device includes: A communication module for wirelessly connecting to an external mobile terminal; A sending module for sending the item weight data (K0) of the in-vehicle refrigerator to the external mobile terminal; A receiving module for receiving the instruction sent by the external mobile terminal.

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