Method and system for migrating user habit data in smart home

Abstract

The present invention provides a method and system for migrating user habit data in a smart home. The method comprises: constructing a communication mechanism between a preset mobile terminal and each home device in a first scene; acquiring a device parameter of each device under different condition parameters by means of the mobile terminal, and uploading same to a preset database; analyzing habit data of a user for each first device; constructing a communication mechanism between the mobile terminal and each home device in a second scene; and inputting the habit data of the user into corresponding devices by means of the mobile terminal, such that each device adaptively adjusts the parameter according to the habits of the user in the first scene. According to the solution of the present invention, related data of different home devices is acquired by means of a mobile terminal, and habit data of a user for different home devices is analyzed according to a database, so that migration of user habit data for home devices is implemented between different scenes, and it is ensured that the user can obtain home experience most conforming to the habits of the user in a new scene.

Description

A method and system for migrating user habit data in smart home Technical Field

[0001] The present invention relates to the field of smart homes, and in particular to a method and system for migrating user habit data in a smart home. Background Art

[0002] With rising living standards, people are moving from the early pursuit of "housing to live in" to "housing that is comfortable to live in," and intelligent living spaces are gradually entering people's horizons. Driven by innovative technologies related to the Internet of Things and artificial intelligence, the wave of intelligence has permeated every corner of daily life, and whole-home intelligence has gradually evolved from a technological term to a consumer trend. Smart home technology is the product of integrating IoT technology into home design. Based on the concept of the IoT, smart home technology strives to activate various devices in home life, such as video and audio systems, lighting systems, air conditioning systems, security systems, computer equipment, security systems, heating and cooling systems, etc. These devices are also called smart home devices. Equipped with sensors and communication networks, smart home devices are connected, thus combining smart home devices with the home environment into a smart home system for human use.

[0003] In daily life, user habits directly influence the setup and use of smart home devices, and thus their life experience. Some users may prioritize device convenience and ease of use, frequently changing device settings and operating methods to better suit their habits. Others, on the other hand, may prioritize device functionality and performance, opting for more complex settings and operating methods to achieve a better experience.

[0004] However, once users leave the old environment and enter a new one, the data stored on smart home devices is difficult to migrate, and users can only reset their habits on the new devices, which seriously affects the user experience.

[0005] Summary of the Invention

[0006] In view of this, the present invention proposes a method and system for migrating user habit data in a smart home. The specific scheme is as follows:

[0007] A method for migrating user habit data in a smart home, comprising:

[0008] Establishing a communication mechanism between a preset mobile terminal and each home appliance in a preset first scenario, and defining the type of home appliance in the first scenario as a first device;

[0009] Obtaining, by the mobile terminal, device parameters of each first device under different condition parameters, and uploading the condition parameters of the first device and the corresponding device parameters to a preset database;

[0010] Analyzing the user's habit data for each first device based on the data in the database, wherein the habit parameters are device parameters that the user habitually sets for the first device under certain condition parameters;

[0011] Establishing a communication mechanism between the mobile terminal and each home appliance in a preset second scenario, and granting the mobile terminal relevant permissions to adjust parameters of each home appliance;

[0012] Home devices of the same type as the first device in the second scenario are defined as second devices, and the user's habit data is input into the corresponding second devices through the mobile terminal, so that each second device adaptively adjusts parameters according to the user's habits in the first scenario.

[0013] In a specific embodiment, a household device in the second scenario that is of a different type from the first device is defined as a third device;

[0014] Obtaining, by the mobile terminal, device parameters of each third device under different condition parameters, and uploading the condition parameters and corresponding device parameters to a preset database;

[0015] After analyzing the user's habit data for each third device based on the data in the database, the third devices are classified as the first devices.

[0016] In a specific embodiment, the condition parameters are classified into environmental parameters and non-environmental parameters; the user defines the weight of each household device affected by the environmental parameters, and the weight of each household device affected by the non-environmental parameters is calculated accordingly;

[0017] Setting lower and upper weight limits for the weight range;

[0018] When the weight of the home appliance affected by the environmental parameters is between the lower weight limit and the upper weight limit, the linear relationship between the environmental parameters, the non-environmental parameters and the appliance parameters is analyzed with reference to the weight ratios of the environmental parameters and the non-environmental parameters.

[0019] In a specific embodiment, the first scene is divided into three areas according to function: a bedroom area, a living room area, and a kitchen and bathroom area;

[0020] If home appliances of the same device type exist in any two or more of the bedroom area, living room area, and kitchen and bathroom area at the same time, the habit data of the home appliances are analyzed separately according to the area where they are located, and the habit data of the area is allocated to the second device in the corresponding area.

[0021] In a specific embodiment, when obtaining the device parameters of each first device under different condition parameters, the corresponding time point is additionally recorded, and the time point, condition parameters, and device parameters are uploaded to the database together;

[0022] In the database, time periods are divided according to time points, and the habit data of the user for each first device is analyzed in units of time periods to form habit data of different time versions;

[0023] The habit data of the latest time version is preferably input into the corresponding second device.

[0024] In a specific embodiment, the user selects the first priority device from among various first devices based on the user's own habits and environmental parameters;

[0025] Determine whether there is a home device of the same type as the first priority device in the second scene. If so, use the device of that type as the second priority device and preferentially input the user's habit data into the second priority device.

[0026] In a specific embodiment, the user binds the corresponding habit data by presetting the user ID, the habit data of different user IDs is stored in the database, and multiple mobile terminals are allowed to access the database;

[0027] The mobile terminal is bound to at least one user identification and can store habit data of at least one user identification.

[0028] In a specific embodiment, when the user stays in the second scene for at least one period of time, the second scene may be used as the new first scene;

[0029] When a first device has multiple first scenes at the same time, the latest first scene shall prevail.

[0030] A system for migrating user habit data in a smart home, comprising:

[0031] A first communication unit is configured to establish a communication mechanism between a preset mobile terminal and each home appliance in a preset first scenario, and define the type of home appliance in the first scenario as a first device;

[0032] a data acquisition unit, configured to acquire, through the mobile terminal, device parameters of each first device under different condition parameters, and upload the condition parameters of the first device and the corresponding device parameters to a preset database;

[0033] a habit analysis unit, configured to analyze the user's habit data for each first device based on the data in the database, wherein the habit parameters are device parameters that the user habitually sets for the first device under certain condition parameters;

[0034] A second communication unit is used to establish a communication mechanism between the mobile terminal and each home appliance in a preset second scenario, and grant the mobile terminal relevant permissions to adjust parameters of each home appliance;

[0035] The habit migration unit is used to define household devices of the same type as the first device in the second scene as second devices, and input the user's habit data into the corresponding second devices through the mobile terminal, so that each second device adaptively adjusts parameters according to the user's habits in the first scene.

[0036] In a specific embodiment, it also includes:

[0037] A data update unit is used to define household devices of a different type from the first device in the second scenario as third devices; obtain device parameters of each third device under different condition parameters through the mobile terminal, and upload the condition parameters and corresponding device parameters to a preset database; after analyzing the user's habit data for each third device based on the data in the database, classify the third devices as the first device.

[0038] Beneficial Effects: This invention proposes a method and system for migrating user habit data in a smart home. This method uses a mobile terminal to acquire relevant data from different home devices, analyzes user habit data for different home devices based on a database, and migrates this data between different home devices in different scenarios, ensuring that users can enjoy a home experience that best suits their habits in new scenarios, thus enabling intelligent management of smart home devices. The migration process involves interaction between the database and the mobile terminal, reducing the risk of data leakage during transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0040] FIG1 is a schematic diagram of a migration method according to an embodiment of the present invention;

[0041] FIG2 is a schematic diagram of a data migration system module according to an embodiment of the present invention.

[0042] Reference numerals: 1 - first communication unit; 2 - data acquisition unit; 3 - habit analysis unit; 4 - second communication unit; 5 - habit migration unit; 6 - data update unit. DETAILED DESCRIPTION

[0043] Hereinafter, various embodiments of the present disclosure will be described more fully. The present disclosure may have various embodiments, and modifications and variations may be made therein. However, it should be understood that there is no intention to limit the various embodiments of the present disclosure to the specific embodiments disclosed herein, but rather that the present disclosure should be construed to encompass all modifications, equivalents, and / or alternatives falling within the spirit and scope of the various embodiments of the present disclosure.

[0044] It should be noted that the mobile terminal in the present invention must be able to obtain and adjust the parameters of home appliances, so certain permissions are required. At the same time, the mobile terminal and home appliances must be able to access the Internet of Things in a specific scenario, and it is easier to communicate in the same network environment to facilitate the mobile terminal to obtain and adjust the parameters of related devices.

[0045] It should be noted that the first and second scenarios in the present invention are interchangeable. The second scenario can also be converted to the first scenario after a certain period of time. The first, second, and third devices are all types of devices, such as air conditioners, washing machines, refrigerators, etc.

[0046] The terms used in the various embodiments disclosed in the present invention are only used to describe the purpose of specific embodiments and are not intended to limit the various embodiments disclosed in the present invention. As used herein, the singular form is intended to also include the plural form, unless the context clearly indicates otherwise. Unless otherwise specified, all terms used herein (including technical terms and scientific terms) have the same meaning as those generally understood by those skilled in the art of the various embodiments disclosed in the present invention. The terms (such as those defined in generally used dictionaries) will be interpreted as having the same meaning as the contextual meaning in the relevant technical field and will not be interpreted as having an idealized meaning or an overly formal meaning, unless clearly specified in the various embodiments disclosed in the present invention.

[0047] Example 1

[0048] Embodiment 1 of the present invention discloses a method for migrating user habit data in a smart home. This method uses a mobile terminal to obtain data from home devices and migrates the user habit data between different scenarios, ensuring that users can obtain a home experience that best suits their habits even in new scenarios. A flowchart of the migration method is shown in Figure 1 of the specification. The specific scheme is as follows:

[0049] A method for migrating user habit data in a smart home comprises the following steps:

[0050] 101. Establish a communication mechanism between a preset mobile terminal and each home appliance in a preset first scenario, and define the type of home appliance in the first scenario as a first device.

[0051] 102. Obtain, through the mobile terminal, device parameters of each first device under different condition parameters, and upload the condition parameters of the first device and the corresponding device parameters to a preset database;

[0052] 103. Analyze the user's habit data for each first device based on the data in the database, where the habit parameters are device parameters that the user habitually sets for the first device under certain condition parameters;

[0053] 104. Establish a communication mechanism between the mobile terminal and each home appliance in the preset second scenario, and grant the mobile terminal relevant permissions to adjust parameters of each home appliance;

[0054] 105. Define the home appliances of the same type as the first appliance in the second scenario as second appliances, input the user's habit data into the corresponding second appliances through the mobile terminal, and enable each second appliance to adaptively adjust parameters according to the user's habits in the first scenario.

[0055] The data migration solution of this embodiment is to summarize the user's habit data from the parameters of each home appliance in the old scene, and migrate the habit data to the home appliances in the new scene when the scene switches, so as to ensure that the home appliances in the new scene can best meet the user's daily living habits.

[0056] The data migration solution in this embodiment requires the use of mobile terminals and databases. Each database can connect to multiple mobile terminals. The mobile terminals are responsible for uploading user data, and the database summarizes user habits based on this data. The mobile terminals need to be able to access the internet and maintain close contact with the user to quickly understand the user's current situation. They also need to be able to easily access home devices. Portable electronic devices such as smartphones can be used.

[0057] A communication mechanism is established between a preset mobile terminal and each home appliance in a preset first scenario, and the home appliance type present in the first scenario is defined as a first device. A first device is a device type, not a specific device. The first scenario is an environment that provides device data, and the user must stay there for a sufficient period of time to be classified as a first scenario. For example, the first scenario can be simply summarized as the old environment in which the user previously lived. The first device is the smart home appliance in the old environment. For the first device, it is only necessary to grant the mobile terminal permission to obtain data.

[0058] The device parameters of each first device under different condition parameters are obtained through the mobile terminal, and the condition parameters of the first device and the corresponding device parameters are uploaded to a preset database. The user's habitual data for each first device is analyzed based on the data in the database, where the habitual parameters are the device parameters that the user habitually sets for the first device under certain condition parameters.

[0059] Home devices have different parameters under different conditions. These parameters are influenced by the external environment as well as user habits and preferences. For example, air conditioners are generally turned on in the summer, but some people prefer lower temperatures and higher speeds, while others prefer to set them to 26°C for health reasons. These device parameters reflect user habits.

[0060] Preferably, conditional parameters are categorized into environmental parameters and non-environmental parameters. Environmental parameters include temperature, brightness, humidity, and so on, while non-environmental parameters primarily refer to user habits and preferences. Some devices are significantly influenced by user habits, while others are more influenced by environmental parameters. In practice, however, it's difficult to define home devices as being solely influenced by environmental or non-environmental parameters. The vast majority of home devices are influenced by both, and different households and individuals have different priorities.

[0061] To better meet user needs, this embodiment allows users to rate the weight of each device's impact. Specifically, the user defines the weight of each household device affected by environmental parameters, and correspondingly calculates the weight of each household device affected by non-environmental parameters. Since only two parameters are set, the weight of one can be calculated by knowing the weight of the other. The lower and upper limits of the weight range are set, with the upper limit preferably being 75% and the lower limit preferably being 25%. In actual applications, the weight range can be flexibly adjusted.

[0062] For example, when the weight of a home appliance affected by environmental parameters is greater than the upper weight limit, and the weight of a home appliance affected by non-environmental parameters is less than the lower weight limit, this type of device can be classified as an environmental device, dominated by environmental parameters, such as a small sun. When the weight of a home appliance affected by non-environmental parameters is greater than the upper weight limit, and the weight of a home appliance affected by environmental parameters is less than the lower weight limit, this type of device is mainly dominated by user customization, such as rice cookers and coffee machines. For both types of devices, it is sufficient to find a linear relationship between the device parameters and the conditional parameters with the largest weight. The device parameters are set accordingly to the conditional parameters.

[0063] For example, when the weight of a home appliance affected by environmental parameters is between a lower weight limit and an upper weight limit, the linear relationship between the environmental parameters, non-environmental parameters, and the device parameters is analyzed with reference to the weight ratio of the environmental parameters to the non-environmental parameters. Different users may have different habits with the same device. For ease of calculation, this embodiment only requires calculating the linear relationship between the conditional parameters and the device parameters. The environmental parameters and non-environmental parameters can be assigned with reference to the weight ratio calculated above to determine the linear relationship between the environmental parameters, non-environmental parameters, and the device parameters.

[0064] In this embodiment, the user's habit data is solved through the database. Therefore, the data not only has a storage function, but also needs to have a certain computing power. A storage platform with good computing power, such as a cloud platform, can be used. Habit data can be stored in a database or in a mobile terminal. In the actual storage process, the data can be first stored in an intermediate database (for example, in the cloud). The intermediate database serves as a data warehouse, and the data is continuously aggregated to the data warehouse. After the data warehouse aggregates the data, it is distributed to each device that needs the data. Data buffering is achieved through the data warehouse, and the data warehouse can store different data from different devices at different time points, forming data for different users at different time points, which is convenient for subsequent data tracing.

[0065] When a user arrives in a new environment, the mobile terminal needs to sense it, or the user needs to control the mobile terminal to sense it. A communication mechanism is established between the mobile terminal and each home appliance in the pre-set second scenario, and the mobile terminal is given the relevant permissions to adjust the parameters of each home appliance. The second scenario can be simply summarized as a new environment. After arriving in the new environment, the mobile terminal first obtains the home appliances in the new environment and compares them with the home appliances in the old environment to find the same appliances in the two environments.

[0066] In this embodiment, home appliances of the same type as the first device in the second scenario are defined as second devices. The user's habit data is input into the corresponding second devices via a mobile terminal, allowing each second device to adaptively adjust its parameters based on the user's habits in the first scenario. Home appliances of a different type from the first device in the second scenario are defined as third devices. The device parameters of each third device under different conditional parameters are obtained via the mobile terminal, and the conditional parameters and corresponding device parameters are uploaded to a preset database. After analyzing the user's habit data for each third device based on the data in the database, the third devices are categorized as first devices.

[0067] The second device is the same type as the first device, for example, both are air conditioners. The third device is not present in the first scenario. After the user has been in the second scenario for at least one period of time, the second scenario can be used as the new first scenario, and the new scenario can be converted to the old scenario. If multiple first scenarios exist for a given first device, the most recent first scenario prevails. For example, if there is no robot vacuum cleaner in the old environment but there is one in the new environment, data migration is impossible because there is no habit data for the robot vacuum cleaner. Relevant data about the robot vacuum cleaner can be obtained and uploaded to a database to summarize the user's robot vacuum cleaner habits. In this case, the second scenario can be used as the new first scenario, and the third device can be used as the first device. The new environment will gradually become the old environment as the user interacts with it and the next environment emerges. New devices in the new environment will also gradually have their habit data summarized by the database, eventually becoming old devices. This cycle ensures that the summarized device habit data is increasing and becoming more complete.

[0068] Preferably, the first scene is divided into three functional areas: bedroom, living room, and kitchen / bathroom. These three areas generally cover the user's daily home life. If a home appliance of the same type is present in any two or more of the bedroom, living room, and kitchen / bathroom areas simultaneously—that is, the same appliance appears in two or all three areas simultaneously—then the habit data for the home appliance is analyzed separately based on the area in which it is located, and the habit data for that area is assigned to the second device in the corresponding area. In real life, some home appliances may exist in multiple locations within the same scene. For example, air conditioners are commonly found in both the living room and bedroom areas, but these air conditioners may have different device parameters. The air conditioner in the living room may have higher power, while the air conditioner in the bedroom may have a lower temperature, all depending on the user's habits. When a user arrives in a new environment where air conditioners are present in both the living room and bedroom areas, the air conditioners are migrated based on the habit data for the corresponding areas. Devices of the same type may correspond to different habit data in different areas. This embodiment addresses this phenomenon by partitioning scenes to further enhance the user's living experience.

[0069] Taking into account that user habits may change, the migration method of this embodiment introduces a time parameter into the habit data, forming different time versions of habit data. In principle, the latest version of the habit data shall prevail to ensure the real-time and accuracy of the data. Specifically, when obtaining the device parameters of each first device under different conditional parameters, the corresponding time point is additionally recorded, and the time point, conditional parameters, and device parameters are uploaded to the database together; in the database, the time period is divided according to the time point, and the user's habit data for each first device is analyzed in units of time period to form different time versions of habit data; the latest time version of the habit data is preferentially input into the corresponding second device. The conditional parameters and device parameters are both recorded according to the time point, and the corresponding habit data can be analyzed by integrating the time points into time periods.

[0070] Taking into account the priorities of different home appliances, the migration solution of this embodiment proposes the concept of priority devices. Preferably, the user screens out the first priority device from each first device based on his or her own habits and environmental parameters; determines whether there is a home appliance of the same type as the first priority device in the second scene. If so, the device of that type is used as the second priority device, and the user's habit data is preferentially input into the second priority device. The settings of the first priority device and the second priority device are both for the purpose of prioritizing the migration of habit data to related devices. For example, in summer, the priority of the air conditioner will be higher than that of other devices. When the user migrates to a new environment, the user's habit data on the air conditioner can be preferentially migrated to the air conditioner in the new environment.

[0071] The migration method of this embodiment binds related habit data to user IDs. Specifically, users bind their habit data to their user IDs. The database stores habit data for different user IDs and allows access to multiple mobile terminals. Each mobile terminal is bound to at least one user ID and can store habit data for at least one user ID.

[0072] This embodiment discloses a method for migrating user habit data in a smart home. The method uses a mobile terminal to obtain relevant data of different home appliances, and relies on a database to analyze the user's habit data for different home appliances. The user habit data is migrated between home appliances in different scenarios to ensure that users can get the home experience that best suits their habits in new scenarios.

[0073] Example 2

[0074] Embodiment 2 of the present invention discloses a system for migrating user habit data in a smart home. This systematizes the method for migrating user habit data in a smart home in embodiment 1. The specific structure of the system is shown in FIG2 of the specification. The specific solution is as follows:

[0075] A system for migrating user habit data in a smart home, comprising:

[0076] The first communication unit 1 is configured to establish a communication mechanism between a preset mobile terminal and each home appliance in a preset first scenario, and define the home appliance type in the first scenario as a first device;

[0077] A data acquisition unit 2 is configured to acquire device parameters of each first device under different condition parameters through a mobile terminal, and upload the condition parameters of the first device and the corresponding device parameters to a preset database;

[0078] A habit analysis unit 3 is configured to analyze the user's habit data for each first device based on the data in the database, wherein the habit parameters are device parameters that the user habitually sets for the first device under certain condition parameters;

[0079] The second communication unit 4 is used to establish a communication mechanism between the mobile terminal and each home appliance in the preset second scenario, and grant the mobile terminal relevant permissions to adjust parameters of each home appliance;

[0080] The habit migration unit 5 is used to define household devices of the same type as the first device in the second scene as second devices, and input the user's habit data into the corresponding second devices through the mobile terminal, so that each second device can adaptively adjust parameters according to the user's habits in the first scene.

[0081] The data updating unit 6 is used to define household devices of a different type from the first device in the second scenario as third devices; obtain device parameters of each third device under different condition parameters through a mobile terminal, and upload the condition parameters and corresponding device parameters to a preset database; after analyzing the user's habit data for each third device based on the data in the database, classify the third devices as the first device.

[0082] This invention proposes a method and system for migrating user habit data in a smart home. This method uses a mobile terminal to acquire relevant data from different home devices. Relying on a database to analyze user habits for different home devices, this data is then migrated between different scenarios, ensuring that users can enjoy a home experience that best suits their habits in new scenarios, thus enabling intelligent management of smart home devices. The migration process involves interaction between the database and the mobile terminal, reducing the risk of data leakage during transmission.

[0083] Those skilled in the art will understand that the accompanying drawings are only schematic diagrams of a preferred implementation scenario, and the modules or processes in the accompanying drawings are not necessarily necessary for the implementation of the present invention. Those skilled in the art will understand that the modules in the devices in the implementation scenario can be distributed in the devices of the implementation scenario according to the description of the implementation scenario, or can be changed accordingly and located in one or more devices different from the present implementation scenario. The modules of the above-mentioned implementation scenarios can be combined into one module, or can be further split into multiple sub-modules. The above-mentioned serial numbers of the present invention are only for description and do not represent the advantages and disadvantages of the implementation scenarios. Disclosed above are only a few specific implementation scenarios of the present invention, but the present invention is not limited thereto, and any changes that can be thought of by those skilled in the art should fall within the scope of protection of the present invention.

Claims

1. A method for migrating user habit data in a smart home, characterized in that: include: Establishing a communication mechanism between a preset mobile terminal and each home appliance in a preset first scenario, and defining the type of home appliance existing in the first scenario as a first device; Acquiring device parameters of each first device under different condition parameters through the mobile terminal, and uploading the condition parameters of the first device and the corresponding device parameters to a preset database; Analyzing the user's habit data for each first device according to the data in the database, wherein the habit parameters are device parameters that the user is accustomed to setting for the first device under certain condition parameters; Establishing a communication mechanism between the mobile terminal and each home appliance in a preset second scenario, and granting the mobile terminal relevant permissions to adjust parameters of each home appliance; The home devices of the same type as the first device in the second scene are defined as second devices, and the user's habit data is input into the corresponding second devices through the mobile terminal, so that each second device adaptively adjusts parameters according to the user's habits in the first scene.

2. The migration method according to claim 1, characterized in that: defining a household device in the second scenario that is different in type from the first device as a third device; Acquiring device parameters of each third device under different condition parameters through the mobile terminal, and uploading the condition parameters and the corresponding device parameters to a preset database; After analyzing the user's habit data for each third device according to the data in the database, the third devices are classified as the first devices.

3. The migration method according to claim 1, characterized in that: classifying the condition parameters into environmental parameters and non-environmental parameters; The user defines the weight of each household device affected by the environmental parameters, and accordingly calculates the weight of each household device affected by the non-environmental parameters; Setting a lower weight limit and an upper weight limit for the weight range; When the weight of the household equipment affected by the environmental parameters is between the lower weight limit and the upper weight limit, the linear relationship between the environmental parameters, the non-environmental parameters and the equipment parameters is analyzed with reference to the weight ratios of the environmental parameters and the non-environmental parameters.

4. The migration method according to claim 1, characterized in that: Divide the first scene into three areas according to function: bedroom area, living room area and kitchen and bathroom area; If home appliances of the same device type exist in any two or more of the bedroom area, living room area, and kitchen and bathroom area at the same time, the habit data about the home appliances are analyzed respectively according to the area where they are located, and the habit data of the area is allocated to the second device in the corresponding area.

5. The migration method according to claim 2, characterized in that: When obtaining the device parameters of each first device under different condition parameters, additionally record the corresponding time point, and upload the time point, condition parameters, and device parameters to the database together; In the database, time periods are divided according to time points, and the habit data of users for each first device is analyzed in units of time periods to form habit data of different time versions; The habit data of the latest time version is preferably input into the corresponding second device.

6. The migration method according to claim 1, characterized in that: The user selects a first priority device from among various first devices based on the user's own habits and environmental parameters; Determine whether there is a home device of the same type as the first priority device in the second scene. If so, use the device of this type as the second priority device and preferentially input the user's habit data into the second priority device.

7. The migration method according to claim 1, characterized in that: The user binds the corresponding habit data through a preset user ID, and the database stores habit data of different user IDs, and allows multiple mobile terminals to access; The mobile terminal is bound with at least one user identification and can store habit data of at least one user identification.

8. The migration method according to claim 5, characterized in that: When the user stays in the second scene for at least one period of time, the second scene can be used as a new first scene; When a first device has multiple first scenes at the same time, the latest first scene shall prevail.

9. A migration system for user habit data in a smart home, characterized in that: include: A first communication unit, configured to establish a communication mechanism between a preset mobile terminal and each home appliance in a preset first scenario, and define the type of home appliance existing in the first scenario as a first device; A data acquisition unit, configured to acquire device parameters of each first device under different condition parameters through the mobile terminal, and upload the condition parameters of the first device and the corresponding device parameters to a preset database; A habit analysis unit, configured to analyze the user's habit data for each first device according to the data in the database, wherein the habit parameters are device parameters that the user is accustomed to setting for the first device under a certain condition parameter; A second communication unit is used to establish a communication mechanism between the mobile terminal and each home appliance in a preset second scenario, and grant the mobile terminal relevant permissions to adjust parameters of each home appliance; A habit migration unit is used to define household devices of the same type as the first device in the second scene as second devices, and input the user's habit data into the corresponding second devices through the mobile terminal, so that each second device adaptively adjusts parameters according to the user's habits in the first scene.

10. The migration system according to claim 9, characterized in that: Also includes: A data updating unit, configured to define a household device in the second scenario that is different in type from the first device as a third device; The device parameters of each third device under different condition parameters are obtained through the mobile terminal, and the condition parameters and the corresponding device parameters are uploaded to a preset database; after analyzing the user's habit data for each third device based on the data in the database, the third devices are classified as the first device.

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