Reminder method, device, electronic device and storage medium

Abstract

The present application provides a reminder method, device, electronic device and storage medium, which obtains usage status data of a smart device and determines whether there is any abnormal usage of the smart device based on the usage status data and target usage habit data; when it is determined that there is abnormal usage of the smart device, the device abnormal behavior information is sent to the user, so that the user can be informed of the abnormal usage of the device in a timely manner, thereby improving the safety of using the smart device.

Description

Technical Field

[0001] The present application relates to the technical field of smart devices, and in particular to a reminder method, device, electronic device, and storage medium. Background Art

[0002] In the information age, maintaining the stable operation of smart devices and effectively detecting and diagnosing device issues have become critical issues for software developers. Currently, when smart devices are used in an unusual manner, such as by non-family members or when their location changes, users are unable to immediately detect this information, posing a security risk. Summary of the Invention

[0003] In response to the above problems, the present application provides a reminder method, device, electronic device and storage medium, which can improve the safety of using smart devices.

[0004] This application provides a reminder method, including:

[0005] Obtain usage status data of smart devices;

[0006] determining target usage habit data corresponding to the time information based on the time information of the usage status data;

[0007] determining whether the smart device has abnormal usage based on the usage status data and the target usage habit data;

[0008] When it is determined that the smart device has abnormal usage, the device abnormal behavior information is sent to the user.

[0009] In some embodiments, sending device abnormal behavior information to a user includes:

[0010] Sending device abnormal behavior information to the control APP of the smart device on the user's terminal;

[0011] The method further comprises:

[0012] In the case where it is obtained that the user determines the abnormal behavior information of the device in the control APP as normal usage behavior information, the usage status data is stored as usage habit data.

[0013] In some embodiments, the method further comprises:

[0014] Obtain historical usage status data of the smart device within a preset time period;

[0015] Identifying the historical usage status data based on time periods;

[0016] Determine the frequency information of historical usage status data corresponding to each time period;

[0017] The usage habit data corresponding to each time period is determined based on the frequency information.

[0018] In some embodiments, determining the target usage habit data corresponding to the time information based on the time information of the usage status data includes:

[0019] Determine a target time period corresponding to the time information of the usage status data;

[0020] Target usage habit data corresponding to the time information is determined based on the target time period.

[0021] In some embodiments, the usage status data includes usage location information, and the target usage habit data includes usage location habit information; and determining whether the smart device has abnormal usage based on the usage status data and the target usage habit data includes:

[0022] Based on the usage location information and the habit information of the usage location, it is determined whether the smart device has usage abnormality, wherein if the usage location information is different from the habit information of the usage location, the smart device does have abnormality.

[0023] In some embodiments, determining whether the smart device has abnormal usage based on the usage status data and the target usage habit data includes:

[0024] determining a similarity between the usage status data and the target usage habit data;

[0025] It is determined whether the smart device has abnormal usage based on the similarity and a similarity threshold, wherein if the similarity is less than the similarity threshold, it is determined that the smart device has abnormal usage.

[0026] In some embodiments, sending the device abnormal behavior information to the user includes:

[0027] The abnormal behavior information of the sending device is sent to the user via SMS.

[0028] An embodiment of the present application provides a reminder device, including:

[0029] An acquisition module is used to obtain usage status data of smart devices;

[0030] a first determining module, configured to determine target usage habit data corresponding to the time information based on the time information of the usage status data;

[0031] a second determining module, configured to determine whether the smart device has abnormal usage based on the usage status data and the target usage habit data;

[0032] The reminder module is used to send device abnormal behavior information to the user when it is determined that the smart device has abnormal use.

[0033] An embodiment of the present application provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, any one of the above-mentioned reminder methods is executed.

[0034] An embodiment of the present application provides a computer-readable storage medium, which stores a computer program that can be executed by one or more processors and can be used to implement the above-mentioned reminder method.

[0035] The present application provides a reminder method, device, electronic device and storage medium, which obtains usage status data of a smart device and determines whether there is any abnormal usage of the smart device based on the usage status data and target usage habit data; when it is determined that there is abnormal usage of the smart device, the device abnormal behavior information is sent to the user, so that the user can be informed of the abnormal usage of the device in a timely manner, thereby improving the safety of using the smart device. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Hereinafter, the present application will be described in more detail based on embodiments with reference to the accompanying drawings.

[0037] Figure 1 A schematic diagram of an implementation flow of a reminder method provided in an embodiment of the present application;

[0038] Figure 2 A schematic diagram of the implementation flow of another reminder method provided in an embodiment of the present application;

[0039] Figure 3 A schematic structural diagram of a reminder device provided in an embodiment of the present application;

[0040] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0041] In the drawings, like components are given like reference numerals, and the drawings are not drawn to scale. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solutions and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limiting this application. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0043] In the following description, reference is made to “some embodiments”, which describes a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0044] If similar descriptions of "first\second\third" appear in the application documents, the following explanation will be added. In the following description, the terms "first\second\third" are only used to distinguish similar objects and do not represent a specific order for the objects. It can be understood that "first\second\third" can be interchanged with a specific order or sequence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application pertains. The terms used herein are for the purpose of describing the embodiments of this application only and are not intended to limit this application.

[0046] Based on the problems existing in the related art, an embodiment of the present application provides a reminder method, which is applied to an electronic device. The electronic device can be installed on a smart device or a server. The server can be a log platform. The smart device can be a furniture device, a mobile terminal, etc. The home appliance can be an air conditioner, a smart door lock, an electric rice cooker, a refrigerator, etc. The mobile terminal can be a mobile phone, a tablet computer, etc. The function implemented by the reminder method provided in the embodiment of the present application can be implemented by calling the program code by the processor of the electronic device, wherein the program code can be stored in a computer storage medium.

[0047] Example 1

[0048] The embodiment of the present application provides a reminder method. Figure 1 A schematic diagram of the implementation flow of a reminder method provided in an embodiment of the present application is shown as follows: Figure 1 Shown, including:

[0049] Step S101: Acquire usage status data of the smart device.

[0050] In an embodiment of the present application, the usage status data may be usage location information, online and offline information, operating mode information, etc. When the smart device is an air conditioner, the operating mode may be a cooling mode or a heating mode; when the smart device is an electric rice cooker, the operating mode information may be: insulation mode, cooking mode, etc.

[0051] In the embodiment of the present application, the electronic device can be communicatively connected with the smart device, and the electronic device can communicate with the smart device in real time to obtain usage status data of the smart device from the smart device.

[0052] Step S102 : determining target usage habit data corresponding to the time information based on the time information of the usage status data.

[0053] In an embodiment of the present application, the time information of the usage status data can be determined by obtaining the time of the usage status data of the smart device. In some embodiments, the smart device also uploads the time information when uploading the usage status data.

[0054] In the embodiment of the present application, usage habit data can be considered as data under normal usage conditions.

[0055] In an embodiment of the present application, a search may be performed based on time information as a search condition to find target usage habit data corresponding to the time information.

[0056] In the embodiment of the present application, step S102 can be implemented by the following steps:

[0057] Step S1021: Determine a target time period corresponding to the time information of the usage status data.

[0058] Step S1022: determining target usage habit data corresponding to the time information based on the target time period.

[0059] In the embodiment of the present application, before step S102, the method further includes:

[0060] Step S21: Acquire historical usage status data of the smart device within a preset time period.

[0061] In the embodiment of the present application, the preset duration can be configured, and the preset duration can be one week, one month, etc.

[0062] Step S22: Identify the historical usage status data based on time periods.

[0063] In the embodiment of the present application, time periods can be divided according to the time of day, and the length of the time period can be configured. For example, every hour of the day can be a time period, or every two hours of the day can be set as a time period, or every 10 minutes of the day can be set as a time period. For example, it can be divided into N time periods. In the embodiment of the present application, the smaller the time period setting, the more accurate the determination of abnormal usage.

[0064] In the embodiment of the present application, the identification can be performed based on the time information of the historical usage status data. Continuing with the above example, when the time information of the historical usage status data is 9:14, the Mth time period of the historical usage data information is identified, where M is an integer less than or equal to N.

[0065] Step S23: determining the frequency information of the historical usage status data corresponding to each time period.

[0066] In the embodiment of the present application, historical usage status data corresponding to each time period can be counted to determine frequency information of the historical usage status data. The frequency information can be the usage frequency information of the device.

[0067] Step S24: determining usage habit data corresponding to each time period based on the frequency information.

[0068] In the embodiment of the present application, the historical usage status data with a frequency greater than a frequency threshold can be determined as the usage habit data, and the historical usage status data with the highest frequency can also be determined as the usage habit data.

[0069] Step S103: determining whether the smart device has abnormal usage based on the usage status data and the target usage habit data.

[0070] In the embodiment of the present application, the usage status data and the target usage habit data may be compared to determine whether there is an abnormality in the smart device.

[0071] In some embodiments, the usage status data includes usage location information, and the target usage habit data includes usage location habit information. Step S103 can be implemented by the following steps:

[0072] Based on the usage location information and the habit information of the usage location, it is determined whether the smart device has usage abnormality, wherein if the usage location information is different from the habit information of the usage location, the smart device does have abnormality.

[0073] In the embodiment of the present application, when the usage location information is the same as the habit information of the usage location, the smart device is used normally.

[0074] In some embodiments, step S103 may also be implemented by the following steps:

[0075] determining a similarity between the usage status data and the target usage habit data;

[0076] It is determined whether the smart device has abnormal usage based on the similarity and a similarity threshold, wherein if the similarity is less than the similarity threshold, it is determined that the smart device has abnormal usage.

[0077] In an embodiment of the present application, the similarity between the usage status data and the target usage habit data can be calculated using the cosine formula. In an embodiment of the present application, the larger the value calculated by the cosine formula, the more similar the usage status data is to the target usage habit data. When the cosine value calculated by the cosine formula is 1, the usage status data is identical to the target usage habit data. The similarity threshold can be configured, for example, the similarity threshold can be set to 0.5, 0.7, etc.

[0078] In the embodiment of the present application, if the similarity is greater than or equal to the similarity threshold, it is determined that the smart device is in normal use.

[0079] Step S104: When it is determined that the smart device has abnormal usage, abnormal device behavior information is sent to the user.

[0080] In the embodiment of the present application, the abnormal behavior information of the device may include: abnormal usage location, abnormal usage mode, etc.

[0081] In the embodiment of the present application, the alarm information can be directly issued by the smart device. In some embodiments, step S104 can be implemented by the following steps:

[0082] The control application (APP) of the smart device sends the abnormal behavior information of the device to the user.

[0083] In the embodiment of the present application, the control APP of the smart device can control the smart device, for example, it can control the smart device to be turned off, locked, etc.

[0084] In some embodiments, after step S104, the method further includes:

[0085] Step S105 , when it is obtained that the user determines the abnormal behavior information of the device in the control APP as normal usage behavior information, the usage status data is stored as usage habit data.

[0086] In an embodiment of the present application, the control APP will output the abnormal behavior information of the device. When outputting the abnormal behavior information of the device, the control APP will output an option for user operation, which is used to allow the user to determine whether the abnormal behavior information of the device is normal usage behavior information. If the user clicks on the option, the control APP will send the user to determine the abnormal behavior information of the device in the control APP as normal usage behavior information, so that the electronic device obtains the user's determination of the abnormal behavior information of the device in the control APP as normal usage behavior.

[0087] In this embodiment of the application, since the user has set the device abnormal behavior information to be normal usage behavior, in order to prevent the device from being abnormal again when the usage status data is obtained again, thereby affecting the user experience, the usage status data is stored as usage habit data. This prevents a prompt from being displayed when the usage status data is received again.

[0088] In some embodiments, step S104 may further include:

[0089] The abnormal behavior information of the sending device is sent to the user via SMS.

[0090] Example 2

[0091] Based on the aforementioned embodiments, the present application further provides a reminder method. In the present application, an electronic device is used as a log platform for example. In the present application, the log platform monitors the user's usage status, determines abnormal behavior and location information, and captures the abnormality if the user switches locations too frequently using the Gree+ app, and reports the information. Figure 2 A flowchart of a reminder method provided in an embodiment of the present application is shown in FIG. Figure 2 Shown, including:

[0092] Step S201: The user uses the control APP to operate the device.

[0093] Step S202: The log platform collects device status information.

[0094] Step S203: reporting the device online and offline status and the device online location within a unit time.

[0095] Step S204: determine whether the device is used normally within the unit time.

[0096] In the embodiment of the present application, if the device is used normally, the process ends; if the device is used abnormally, step S205 is executed.

[0097] In step S205, the device sends an abnormal data packet to the server and proactively reports it.

[0098] In the embodiment of the present application, as an optional implementation scheme, the execution subject is Gree smart home appliances, which mainly collect the usage of the devices through the log platform for monitoring, capture abnormal device usage, and report to the user.

[0099] In some embodiments, the method includes, but is not limited to, monitoring of abnormal location of the user's device during execution. It can also monitor information such as instructions issued and device online and offline when the user is using the device.

[0100] The log platform collects status information of users' device usage a week or a month in advance, identifies it by time period, records the frequency of users' device usage at each time point, derives users' behavioral habits, and saves them in the database.

[0101] The log platform collects user behavior information in real time. If it detects that a user is operating a device in a different location through the Gree+ app at a certain moment and an abnormality occurs, the app will return this information to the server. By comparing the user's normal behavior habit data in the database, if there is a significant discrepancy with the data stored in the database, it is determined to be abnormal device usage and this information is returned to the app.

[0102] The app receives information about abnormal device behavior from the server and promptly sends it to the user via the mobile app or SMS. This helps prevent non-family members from operating smart devices, ensuring device security, and preventing frequent online and offline activity within a certain period of time. The information collected through the log platform is promptly processed to avoid further losses.

[0103] After receiving the reminder message, the user should check the APP login status and the status of the home devices in time. After confirming that everything is correct, the user can confirm it through the APP. The server will save this abnormal information.

[0104] An embodiment of the present application provides a reminder method that collects device usage status through a log information collection platform, including device online and offline status, device usage location information, etc., to improve the safety of users using the device.

[0105] Example 3

[0106] Based on the foregoing embodiments, an embodiment of the present application provides a reminder device, wherein the modules included in the device and the units included in each module can be implemented by a processor in a computer device; of course, they can also be implemented by a specific logic circuit; in the implementation process, the processor can be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA), etc.

[0107] The embodiment of the present application provides a reminder device, Figure 3 A schematic diagram of the structure of a reminder device provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the reminder device 300 includes:

[0108] Acquisition module 301, used to obtain usage status data of smart devices;

[0109] A first determining module 302 is configured to determine target usage habit data corresponding to the time information based on the time information of the usage status data;

[0110] A second determining module 303 is configured to determine whether the smart device has abnormal usage based on the usage status data and the target usage habit data;

[0111] The reminder module 304 is used to send device abnormal behavior information to the user when it is determined that the smart device has abnormal usage.

[0112] In some embodiments, sending device abnormal behavior information to a user includes:

[0113] Sending device abnormal behavior information to the control application APP of the smart device on the user's terminal;

[0114] The method further comprises:

[0115] In the case where it is obtained that the user determines the abnormal behavior information of the device in the control APP as normal usage behavior information, the usage status data is stored as usage habit data.

[0116] In some embodiments, the method further comprises:

[0117] Obtain historical usage status data of the smart device within a preset time period;

[0118] Identifying the historical usage status data based on time periods;

[0119] Determine the frequency information of historical usage status data corresponding to each time period;

[0120] The usage habit data corresponding to each time period is determined based on the frequency information.

[0121] In some embodiments, determining the target usage habit data corresponding to the time information based on the time information of the usage status data includes:

[0122] Determine a target time period corresponding to the time information of the usage status data;

[0123] Target usage habit data corresponding to the time information is determined based on the target time period.

[0124] In some embodiments, the usage status data includes usage location information, and the target usage habit data includes usage location habit information; and determining whether the smart device has abnormal usage based on the usage status data and the target usage habit data includes:

[0125] Based on the usage location information and the habit information of the usage location, it is determined whether the smart device has usage abnormality, wherein if the usage location information is different from the habit information of the usage location, the smart device does have abnormality.

[0126] In some embodiments, determining whether the smart device has abnormal usage based on the usage status data and the target usage habit data includes:

[0127] determining a similarity between the usage status data and the target usage habit data;

[0128] It is determined whether the smart device has abnormal usage based on the similarity and a similarity threshold, wherein if the similarity is less than the similarity threshold, it is determined that the smart device has abnormal usage.

[0129] In some embodiments, sending the device abnormal behavior information to the user includes:

[0130] The abnormal behavior information of the sending device is sent to the user via SMS.

[0131] It should be noted that in the embodiments of the present application, if the above-mentioned reminder method is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiments of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk. In this way, the embodiments of the present application are not limited to any specific combination of hardware and software.

[0132] Accordingly, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps in the reminder method provided in the above embodiment are implemented.

[0133] Example 4

[0134] An embodiment of the present application provides an electronic device; Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the electronic device 700 includes: a processor 701, at least one communication bus 702, a user interface 703, at least one external communication interface 704, and a memory 705. The communication bus 702 is configured to enable communication between these components. The user interface 703 may include a display screen, and the external communication interface 704 may include a standard wired interface and a wireless interface. The processor 701 is configured to execute the reminder method program stored in the memory to implement the steps of the reminder method provided in the above embodiment.

[0135] The description of the above electronic device and storage medium embodiments is similar to the description of the above method embodiments and has similar beneficial effects as the method embodiments. For technical details not disclosed in the computer device and storage medium embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

[0136] It should be noted that the description of the above storage medium and device embodiments is similar to the description of the above method embodiments and has similar beneficial effects as the method embodiments. For technical details not disclosed in the storage medium and device embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

[0137] It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application. The above-mentioned serial numbers of the embodiments of the present application are for description only and do not represent the advantages and disadvantages of the embodiments.

[0138] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0139] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0140] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed across multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this embodiment.

[0141] In addition, all functional units in the embodiments of the present application can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the above-mentioned integrated units can be implemented in the form of hardware or in the form of hardware plus software functional units.

[0142] Those skilled in the art will understand that all or part of the steps of the above-mentioned method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROMs), magnetic disks, optical disks, and other media that can store program codes.

[0143] Alternatively, if the above-mentioned integrated unit of the present application is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for enabling a controller to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks or optical disks.

[0144] The above is merely an embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A prompting method, characterized in that: include: Acquire usage status data of the smart device; wherein the usage status data includes: usage location information; Determining target usage habit data corresponding to the time information based on the time information of the usage status data; wherein the target usage habit data includes: habit information of usage location; Determining whether the smart device has abnormal usage based on the usage status data and the target usage habit data includes: determining whether the smart device has abnormal usage based on the usage location information and the usage location habit information, wherein if the usage location information is different from the usage location habit information, the smart device does have abnormal usage; or Determining a similarity between the usage status data and the target usage habit data; determining whether the smart device has abnormal usage based on the similarity and a similarity threshold, wherein if the similarity is less than the similarity threshold, determining that the smart device has abnormal usage; When it is determined that the smart device has abnormal usage, the device abnormal behavior information is sent to the control application APP of the smart device on the user's terminal, so that the control application APP controls the smart device to perform shutdown and locking operations.

2. The method according to claim 1, characterized in that The method further comprises: In the case where it is obtained that the user determines the abnormal behavior information of the device in the control application APP as normal usage behavior information, the usage status data is stored as usage habit data.

3. The method according to claim 1, characterized in that The method further comprises: Obtain historical usage status data of the smart device within a preset time period; Identifying the historical usage status data based on time periods; Determine the frequency information of historical usage status data corresponding to each time period; The usage habit data corresponding to each time period is determined based on the frequency information.

4. The method according to claim 3, characterized in that The determining, based on the time information of the usage status data, target usage habit data corresponding to the time information includes: Determine a target time period corresponding to the time information of the usage status data; Target usage habit data corresponding to the time information is determined based on the target time period.

5. The method according to claim 1, wherein The sending of device abnormal behavior information to the user includes: The abnormal behavior information of the sending device is sent to the user via SMS.

6. A reminder device, characterized in that: include: An acquisition module is used to acquire usage status data of the smart device; wherein the usage status data includes: usage location information; A first determining module is configured to determine target usage habit data corresponding to the time information based on the time information of the usage status data; wherein the target usage habit data includes: usage location habit information; The second determining module is configured to determine whether the smart device has abnormal usage based on the usage status data and the target usage habit data, including: determining whether the smart device has abnormal usage based on the usage location information and the usage location habit information, wherein if the usage location information is different from the usage location habit information, the smart device does have abnormal usage; or Determining a similarity between the usage status data and the target usage habit data; determining whether the smart device has abnormal usage based on the similarity and a similarity threshold, wherein if the similarity is less than the similarity threshold, determining that the smart device has abnormal usage; The reminder module is used to send device abnormal behavior information to the control application APP of the smart device on the user's terminal when it is determined that the smart device has abnormal use, so that the control application APP controls the smart device to perform shutdown and locking operations.

7. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the prompt method according to any one of claims 1 to 5 is executed.

8. A storage medium, characterized in that: The computer program stored in the storage medium can be executed by one or more processors and can be used to implement the prompt method as claimed in any one of claims 1 to 5.

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