Intelligent refrigerator human body induction and control method and device and medium

Abstract

The invention discloses a human body induction and control method and device for an intelligent refrigerator and a medium, relates to the technical field of intelligent household appliances, and solves the problem that the refrigerator door is still opened when a voice instruction of a child is recognized when the door of the intelligent refrigerator is controlled according to the instruction in the prior art, so that the child is possibly clamped by the refrigerator door when the refrigerator door is closed. And the use safety is influenced. The method comprises the steps of obtaining instruction data received by the intelligent refrigerator; adjusting the recognition mode of the intelligent refrigerator according to the instruction data; analyzing the human body induction data of the user according to the recognition mode of the intelligent refrigerator; generating early warning information according to the analysis result; the intelligent refrigerator is controlled and processed based on the early warning information; and the conditions of the family members can be analyzed, so that the use safety can be guaranteed.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent household appliances, relates to human body sensing and control technology for intelligent refrigerators, and specifically is a method, device and medium for human body sensing and control of an intelligent refrigerator. Background Art

[0002] The human body sensing and control of an intelligent refrigerator refers to a technical system that realizes the perception of user behavior or presence through integrated sensors, artificial intelligence and Internet of Things technology, and automatically adjusts the operating state of the refrigerator or provides an interaction function based on this.

[0003] In the prior art, the intelligent refrigerator is controlled by collecting command information or voice control information to open or close the refrigerator door; however, when the prior art controls the refrigerator door according to the command, when a child's voice command is recognized, the refrigerator door will still be opened, which may cause the refrigerator door to close and pinch the child, affecting the safety of use.

[0004] The present invention provides a method, device and medium for human body sensing and control of an intelligent refrigerator to solve the above technical problems. Summary of the Invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; for this purpose, the present invention proposes a method, device and medium for human body sensing and control of an intelligent refrigerator, which is used to solve the technical problem that when the prior art controls the refrigerator door according to the command, when a child's voice command is recognized, the refrigerator door will still be opened, which may cause the refrigerator door to close and pinch the child, affecting the safety of use.

[0006] To achieve the above object, the first aspect of the present invention provides a method for human body sensing and control of an intelligent refrigerator, including:

[0007] Obtain the command data received by the intelligent refrigerator;

[0008] Adjust the recognition mode of the intelligent refrigerator according to the command data;

[0009] Analyze the human body sensing data of the user according to the recognition mode of the intelligent refrigerator;

[0010] Generate a warning message according to the analysis result;

[0011] Perform control processing on the intelligent refrigerator based on the warning message.

[0012] Preferably, the adjusting the recognition mode of the intelligent refrigerator according to the command data includes:

[0013] Retrieve the instruction data of the user; among them, the instruction data includes: a setting mode instruction and a refrigerator control instruction; the refrigerator control instruction includes: a door control instruction and a temperature adjustment instruction;

[0014] Adjust the recognition mode of the smart refrigerator according to the setting mode instruction; among them, the recognition mode includes: a human body induction mode, a child mode, and an elderly mode;

[0015] Lock or unlock the door of the smart refrigerator according to the door control instruction in the refrigerator control instruction; adjust the internal temperature of the smart refrigerator according to the temperature adjustment instruction.

[0016] The present invention determines the recognition mode of the smart refrigerator according to the instruction data of the user, adjusts the recognition mode of the smart refrigerator according to the actual situation of the user, and can set the recognition mode of the smart refrigerator according to the actual situation; and controls the smart refrigerator according to the refrigerator control instruction, realizing the remote control of the smart refrigerator, which is beneficial to the intelligent control of the smart refrigerator and improves the user experience.

[0017] Preferably, the analysis of the human body induction data according to the recognition mode of the smart refrigerator includes:

[0018] Retrieve the recognition mode of the smart refrigerator; when the recognition mode of the smart refrigerator is the human body induction mode, then recognize the human body within the set range and collect the human body induction data within the set range; analyze and store the collected human body induction data;

[0019] When the recognition mode of the smart refrigerator is the child mode, then analyze the position of the child within the set range, calculate the position distance between the child position and the smart refrigerator, and generate a far - away reminder signal according to the position distance;

[0020] When the recognition mode of the smart refrigerator is the elderly mode, then detect and recognize the activity track data of the elderly; if the activity track data of the elderly is not detected within the set time period, then generate a departure reminder signal; control the smart refrigerator according to the reminder signal.

[0021] The present invention collects the human body induction data according to the recognition mode of the smart refrigerator, processes and analyzes the human body induction data respectively, and generates reminder signals for different recognition modes; when the user goes to work or goes out, it is helpful to understand the activities of family members and ensure the safety of family members at home.

[0022] Preferably, the analysis and storage of the collected human body induction data includes:

[0023] Retrieve the collected human body induction data; among them, the human body induction data includes: a timestamp, a trigger state, and position information;

[0024] Analyze the location information according to the trigger status in the human body sensing data; calculate the location distance between the location information and the smart refrigerator; when the location distance is less than the set distance threshold, control the panel display of the smart refrigerator and open the door of the smart refrigerator;

[0025] Upload the human body sensing data and the corresponding analysis results to the cloud for storing and viewing the data of the smart refrigerator.

[0026] Preferably, the obtaining method of the distance threshold includes:

[0027] Obtain historical location data; screen out the historical locations passing by the smart refrigerator from the historical location data, integrate the historical locations passing by the smart refrigerator according to the set period to obtain several groups of passing location sequences; calculate the average value of the several groups of passing location sequences;

[0028] Construct a distance threshold analysis function: Calculate the distance threshold JY according to the distance analysis function and the several groups of average values;

[0029] where, w k is the weight coefficient of the k-th average value; μ k is the average value corresponding to the k-th passing location sequence; T is the current time; T k is the time stamp of the k-th period; λ represents the time decay rate.

[0030] Preferably, the control of the smart refrigerator according to the reminder signal includes:

[0031] Retrieve the reminder signal; where the reminder signal includes: a far-away reminder signal and a departure reminder signal; when the reminder signal is a far-away reminder signal, lock the door of the smart refrigerator and broadcast according to the preset voice information;

[0032] When the reminder signal is a departure reminder signal, send the departure reminder signal to the corresponding user and issue a departure reminder alarm.

[0033] The present invention controls the smart refrigerator according to the reminder signal. When a child approaches the refrigerator, the door of the smart refrigerator is locked to avoid the risk of the child getting their hand caught when opening the smart refrigerator. When an elderly person has not moved for a long time, the elderly person is reminded to move, increasing the exercise time, which is beneficial to ensuring the home safety of the user's family members.

[0034] Preferably, the generation of the warning information according to the analysis result includes:

[0035] Retrieve the reminder signal; when the reminder signal is a distance reminder signal, detect the child's location information within the set time period to obtain the re-check location information; determine whether the re-check location information is greater than the set re-check distance; if yes, generate a warning release signal; if no, generate a warning signal;

[0036] When the reminder signal is a departure reminder signal, the location information of the elderly is detected according to the set frequency to determine whether each location information is consistent. If yes, an emergency warning signal is generated; if not, the reminder signal is stopped.

[0037] The present invention collects human body sensing data after sending out a reminder signal, and analyzes whether the reminder signal is effective. When a child has not left the smart refrigerator, the door of the refrigerator is kept locked; when the elderly have not gotten up to move, information can be sent to the user, and the user can remind the elderly to move through other means. If an emergency occurs to the elderly, the user can also detect it in the first time, which is conducive to ensuring the safety of children and the elderly at home.

[0038] Preferably, the controlling process of the smart refrigerator based on the early warning information includes:

[0039] Retrieving warning information; wherein the warning information includes: warning cancellation signal, warning signal and emergency warning signal; when the warning information is a warning cancellation signal, the lock of the smart refrigerator door is unlocked, and the position of the child is continuously detected;

[0040] When the warning information is a warning signal, the smart refrigerator sends the warning signal to the user; when the warning information is an emergency warning signal, the smart refrigerator sends the emergency warning signal to the user.

[0041] The second aspect of the present invention provides a human body sensing and control device for a smart refrigerator, comprising: a sensing analysis module, and a data acquisition module and an early warning processing module connected thereto;

[0042] A data acquisition module, used to obtain command data received by the smart refrigerator;

[0043] The sensing analysis module is used to adjust the recognition mode of the smart refrigerator according to the instruction data; and analyze the user's human body sensing data according to the recognition mode of the smart refrigerator;

[0044] The early warning processing module is used to generate early warning information according to the analysis results; and control the smart refrigerator based on the early warning information.

[0045] A third aspect of the present invention provides a human body sensing and control medium for a smart refrigerator, wherein the medium stores computer program instructions, and the above-mentioned method steps are implemented when the program instructions are executed by a processor.

[0046] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0047] 1. The present invention determines the recognition mode of the smart refrigerator according to the user's instruction data, adjusts the recognition mode of the smart refrigerator according to the actual situation of the user, and can set the recognition mode of the smart refrigerator according to the actual situation; and controls the smart refrigerator according to the refrigerator control instruction, realizing remote control of the smart refrigerator, which is beneficial to intelligent control of the smart refrigerator and improves the user experience; collects human body sensing data according to the recognition mode of the smart refrigerator, processes and analyzes the human body sensing data respectively, and generates a reminder signal for different recognition modes; when the user goes to work or goes out, understands the activities of family members, which is beneficial to ensuring the safety of family members at home.

[0048] 2. The present invention controls the smart refrigerator according to the reminder signal. When a child approaches the refrigerator, the refrigerator door is locked to avoid the risk of the child getting pinched when opening the smart refrigerator. When an elderly person does not move for a long time, the elderly person is reminded to move, increasing the exercise time, which is beneficial to ensuring the home safety of the user's family members; collects the human body sensing data after the reminder signal is sent, analyzes whether the reminder signal is effective. When the child still does not leave the smart refrigerator, the refrigerator door remains locked; when the elderly person still does not get up and move, the information can be sent to the user, and the user can remind the elderly person to move in other ways. If an emergency occurs to the elderly person, the user can also detect it in the first time, which is beneficial to ensuring the home safety of children and the elderly. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0050] Figure 1 It is a schematic diagram of the overall steps of the method of the present invention;

[0051] Figure 2 It is a schematic diagram of the working steps of the human body sensing mode of the present invention;

[0052] Figure 3 It is a schematic diagram of the working steps of the child mode of the present invention;

[0053] Figure 4 It is a schematic diagram of the working steps of the elderly mode of the present invention;

[0054] Figure 5 It is a schematic diagram of the working steps of the device of the present invention. Detailed implementation manners

[0055] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0056] Please refer to Figure 1 , an embodiment of the first aspect of the present invention provides a method for human body sensing and control of an intelligent refrigerator, including:

[0057] Obtain the instruction data received by the intelligent refrigerator;

[0058] Adjust the recognition mode of the intelligent refrigerator according to the instruction data;

[0059] Analyze the human body sensing data of the user according to the recognition mode of the intelligent refrigerator;

[0060] Generate a warning message according to the analysis result;

[0061] Perform control processing on the intelligent refrigerator based on the warning message.

[0062] It should be noted that a human body sensing device module, an instruction data processing module, a storage module, a display screen, a voice module, and a network configuration module are provided on the intelligent refrigerator; after the intelligent refrigerator is powered on, the user binds the network of the refrigerator through the APP. After the binding is successful, some modes of the refrigerator can be set, and the set data is uploaded to the cloud server through the interface.

[0063] When the intelligent refrigerator is started, the human body sensing module starts to work and reports the detected human sensing data to the server; the server analyzes the data and sends a message notification to the APP or issues a control instruction to the device according to the set mode. After the device instruction data module processes it, a voice reminder is made. The user can customize the reminder content sent down and the switch of whether to remind on the mobile phone, and can also set the frequency of the instruction sent down.

[0064] After the intelligent refrigerator receives the issued instruction, the instruction data module parses the issued data and stores it locally in the refrigerator, and can record the data for the most recent month; when a voice instruction is received, it can directly broadcast a reminder; the display screen of the intelligent refrigerator can display the records of alarm messages and voice reminders, facilitating the user to view and process the messages.

[0065] It should be noted that the human body sensing device is not only installed on the smart refrigerator, but also can be installed in other areas of the home. The human body sensing device is wirelessly connected to the smart refrigerator for communication, and all data is transmitted to the smart refrigerator and then to the user by the smart refrigerator.

[0066] Please refer to Figure 2 to obtain the instruction data received by the smart refrigerator. Among them, the instruction data includes: setting mode instructions and refrigerator control instructions; the refrigerator control instructions include: door control instructions and temperature adjustment instructions; adjust the recognition mode of the smart refrigerator according to the setting mode instructions. Among them, the recognition modes include: human body sensing mode, child mode, and elderly mode; lock or unlock the door of the smart refrigerator according to the door control instruction in the refrigerator control instruction; adjust the internal temperature of the smart refrigerator according to the temperature adjustment instruction.

[0067] Retrieve the recognition mode of the smart refrigerator. When the recognition mode of the smart refrigerator is the human body sensing mode, then identify the human body within the set range and collect the human body sensing data within the set range. Among them, the human body sensing data includes: timestamp, trigger status, and location information; analyze the location information according to the trigger status in the human body sensing data; calculate the location distance between the location information and the smart refrigerator; when the location distance is less than the set distance threshold, then control the panel of the smart refrigerator to display and open the door of the smart refrigerator; upload the human body sensing data and the corresponding analysis results to the cloud for storing and viewing the data of the smart refrigerator.

[0068] It should be noted that the trigger status is 0 or 1. When the trigger status is 0, it means that no human body sensing data is detected. When the trigger status is 1, it means that human body sensing data is detected. When the trigger status is 1, analyze the location information.

[0069] It is worth noting that the way to obtain the distance threshold includes:

[0070] Obtain historical location data; screen out the historical locations that pass by the smart refrigerator each time from the historical location data, integrate the historical locations that pass by the smart refrigerator according to the set period to obtain several groups of passing location sequences; calculate the average value of the several groups of passing location sequences;

[0071] Construct a distance threshold analysis function: Calculate the distance threshold JY according to the distance analysis function and the several groups of average values;

[0072] where w k is the weight coefficient of the k-th average value; μ k is the average value corresponding to the k-th passing location sequence; T is the current time; T kis the timestamp of the kth period; λ represents the time decay rate.

[0073] It should be noted that the weight coefficient is set according to the number of average values ​​using an arithmetic progression; when the number of average values ​​is determined, the minimum or maximum weight coefficient value is determined, and the weight coefficients corresponding to the remaining average values ​​are determined using an arithmetic progression. When setting the weight coefficient, it is necessary to ensure that the sum of the weight coefficients is 1; the time decay rate is set according to expert evaluation, and the general value is 0.5.

[0074] For example, suppose the historical data is divided into 4 groups of passing position sequences, the average value of each group of passing position sequences is calculated, the time decay rate is set to 0.5, and the current time is 1; as shown in the following table:

[0075] Period Weight coefficient Average value Timestamp 1 0.4 3.8m 3 2 0.3 4.2m 7 3 0.2 2.7m 10 4 0.1 5.1m 12

[0076] According to the above table and the distance threshold analysis function, the distance threshold is calculated to be 4.09m; when human body sensing data with a trigger state of 1 is detected, the position distance between the location information and the smart refrigerator is calculated; when the position distance is less than 4.09m, the panel of the smart refrigerator is controlled to light up and the door of the smart refrigerator is opened.

[0077] Please refer to Figure 3 When the recognition mode of the smart refrigerator is the child mode, the position of the child within the set range is analyzed, the position distance between the child and the smart refrigerator is calculated, and a distance reminder signal is generated according to the position distance; the door of the smart refrigerator is locked, and a preset voice message is broadcast; the child's position information is detected within a set time period to obtain the re-check position information; it is determined whether the re-check position information is greater than the set re-check distance; if yes, an early warning release signal is generated; if not, an early warning signal is generated; when the early warning information is an early warning release signal, the lock of the smart refrigerator door is unlocked, and the child's position is continuously detected; when the early warning information is an early warning signal, the smart refrigerator sends an early warning signal to the user.

[0078] For example: assuming that the recognition mode of the smart refrigerator is the child mode, the child's location information is detected at time T1, and the distance between the child's location and the smart refrigerator is calculated. If the distance is less than the distance set by the user (0.5m), the door of the smart refrigerator will be locked and the voice "Children are not allowed to play with the refrigerator, please stay away" will be broadcast; after 5 minutes, the child's location is detected, and the distance between the re-checked position and the smart refrigerator is 4m, then a warning release signal is generated to unlock the door of the smart refrigerator.

[0079] See also Figure 4When the recognition mode of the smart refrigerator is the elderly mode, the activity trajectory data of the elderly is detected and recognized; if no activity trajectory data of the elderly is detected within the set time period, a departure reminder signal is generated; the departure reminder signal is sent to the corresponding user, and a departure reminder alarm is issued; the position information of the elderly is detected according to the set frequency, and it is judged whether each position information is consistent. If so, an emergency warning signal is generated, and the smart refrigerator sends the emergency warning signal to the user; otherwise, the reminder signal is stopped.

[0080] For example: Assume that the recognition mode of the smart refrigerator is the elderly mode. Then the human body sensing data of the elderly is detected. It is found that there is no activity trajectory data of the elderly within 1 hour, so a departure reminder signal is generated; the position information of the elderly is collected every 1 minute, and it is found that each position information is inconsistent, which means that the elderly has got up and moved, and the reminder signal is stopped.

[0081] Please refer to Figure 5 In the first aspect embodiment of the present invention, a smart refrigerator human body sensing and control device is provided, including: a sensing and analysis module, a data acquisition module connected thereto, and an early warning processing module;

[0082] The data acquisition module is used to obtain the instruction data received by the smart refrigerator;

[0083] The sensing and analysis module is used to adjust the recognition mode of the smart refrigerator according to the instruction data; analyze the human body sensing data of the user according to the recognition mode of the smart refrigerator;

[0084] The early warning processing module is used to generate early warning information according to the analysis result; perform control processing on the smart refrigerator based on the early warning information.

[0085] In the third aspect of the present invention, a smart refrigerator human body sensing and control medium is provided. The medium stores computer program instructions, and when the program instructions are executed by a processor, the above method steps are implemented.

[0086] Some of the data in the above formula is the numerical value obtained by removing the dimension. The formula is obtained by software simulation of a large amount of collected data to get a formula closest to the real situation; the preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained by simulating a large amount of data.

[0087] The working principle of the present invention: The present invention obtains the instruction data received by the smart refrigerator; adjusts the recognition mode of the smart refrigerator according to the instruction data; analyzes the human body sensing data of the user according to the recognition mode of the smart refrigerator; generates early warning information according to the analysis result; performs control processing on the smart refrigerator based on the early warning information.

[0088] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent refrigerator human body sensing and control method, characterized in that, Including: Obtain the instruction data received by the smart refrigerator; Adjust the recognition mode of the smart refrigerator according to the instruction data; Analyze the user's human body sensing data according to the recognition mode of the smart refrigerator; Generate a warning message according to the analysis result; Perform control processing on the smart refrigerator based on the warning message.

2. The human body sensing and control method of an intelligent refrigerator according to claim 1, characterized in that The adjusting the recognition mode of the smart refrigerator according to the instruction data includes: Retrieve the user's instruction data; among them, the instruction data includes: a setting mode instruction and a refrigerator control instruction; the refrigerator control instruction includes: a door control instruction and a temperature adjustment instruction; Adjust the recognition mode of the smart refrigerator according to the setting mode instruction; among them, the recognition mode includes: a human body sensing mode, a child mode, and an elderly mode; Lock or unlock the door of the smart refrigerator according to the door control instruction in the refrigerator control instruction; adjust the internal temperature of the smart refrigerator according to the temperature adjustment instruction.

3. The method for human body sensing and control of an intelligent refrigerator according to claim 1, characterized in that, The analyzing the user's human body sensing data according to the recognition mode of the smart refrigerator includes: Retrieve the recognition mode of the smart refrigerator; when the recognition mode of the smart refrigerator is the human body sensing mode, identify the human body within the set range and collect the human body sensing data within the set range; analyze and store the collected human body sensing data; When the recognition mode of the smart refrigerator is the child mode, analyze the position of the child within the set range, calculate the position distance between the child's position and the smart refrigerator, and generate a distance reminder signal according to the position distance; When the recognition mode of the smart refrigerator is the elderly mode, detect and identify the activity trajectory data of the elderly; if the activity trajectory data of the elderly is not detected within the set time period, generate a departure reminder signal; control the smart refrigerator according to the reminder signal.

4. The method for human body sensing and control of an intelligent refrigerator according to claim 3, characterized in that, The analyzing and storing the collected human body sensing data includes: Retrieve the collected human body sensing data; among them, the human body sensing data includes: a timestamp, a trigger status, and position information; Analyze the position information according to the trigger status in the human body sensing data; calculate the position distance between the position information and the smart refrigerator; when the position distance is less than the set distance threshold, control the panel display of the smart refrigerator and open the door of the smart refrigerator; Upload the human body sensing data and the corresponding analysis results to the cloud for storing and viewing the data of the smart refrigerator.

5. The human body sensing and control method of an intelligent refrigerator according to claim 4, characterized in that, The obtaining method of the distance threshold includes: Obtain historical position data; screen out the historical positions passing by the smart refrigerator from the historical position data, integrate the historical positions passing by the smart refrigerator according to the set period to obtain several groups of passing position sequences; calculate the average value of the several groups of passing position sequences; Construct a distance threshold analysis function: Calculate the distance threshold JY according to the distance analysis function and several groups of average values; where, w k is the weight coefficient of the k-th average value; μ k is the average value corresponding to the k-th position sequence passed; T is the current time; T k is the time stamp of the k-th cycle; λ represents the time decay rate.

6. The method for human body sensing and control of an intelligent refrigerator according to claim 3, characterized in that The controlling the smart refrigerator according to the reminder signal includes: Retrieve the reminder signal; among them, the reminder signal includes: a distance reminder signal and a departure reminder signal; when the reminder signal is a distance reminder signal, lock the door of the smart refrigerator and broadcast according to the preset voice information; When the reminder signal is a departure reminder signal, send the departure reminder signal to the corresponding user and issue a departure reminder alarm.

7. A method for human body sensing and control of an intelligent refrigerator according to claim 1, characterized in that, The generating a warning message according to the analysis result includes: Retrieve the reminder signal; when the reminder signal is a distance reminder signal, detect the child's location information within the set time period to obtain the re-check location information; determine whether the re-check location information is greater than the set re-check distance; if yes, generate a warning release signal; if no, generate a warning signal; When the reminder signal is a departure reminder signal, the location information of the elderly is detected according to the set frequency to determine whether each location information is consistent. If yes, an emergency warning signal is generated; if not, the reminder signal is stopped.

8. The human body sensing and control method of an intelligent refrigerator according to claim 1, characterized in that, The controlling process of the smart refrigerator based on the early warning information includes: Retrieving warning information; wherein the warning information includes: warning cancellation signal, warning signal and emergency warning signal; when the warning information is a warning cancellation signal, the lock of the smart refrigerator door is unlocked, and the position of the child is continuously detected; When the warning information is a warning signal, the smart refrigerator sends the warning signal to the user; when the warning information is an emergency warning signal, the smart refrigerator sends the emergency warning signal to the user.

9. An intelligent refrigerator human body sensing and control device, applied to the intelligent refrigerator human body sensing and control method according to any one of claims 1-8, characterized in that, It includes a sensing and analysis module, and a data acquisition module and an early warning processing module connected thereto; A data acquisition module, used to obtain command data received by the smart refrigerator; The sensing analysis module is used to adjust the recognition mode of the smart refrigerator according to the instruction data; and analyze the user's human body sensing data according to the recognition mode of the smart refrigerator; An early warning processing module is used to generate early warning information based on the analysis results; The smart refrigerator is controlled and processed based on the early warning information.

10. An intelligent refrigerator human body sensing and control medium, applied to the intelligent refrigerator human body sensing and control method according to any one of claims 1-8, characterized in that, The medium stores computer program instructions, which implement the above method steps when executed by the processor.

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