Scene mode adaptation control method and device

Abstract

The present invention discloses a scene mode adaptation control method and device, comprising: collecting the target user's current physical parameters based on the target user's wearable device; analyzing the target user's current physical parameters to obtain the target user's current living status; determining a scene mode adapted for the target user based on the living status; determining at least one smart device to be controlled in the target area corresponding to the target user based on the scene mode; and controlling each smart device to perform a matching operation based on the scene mode. It can be seen that the implementation of the present invention can greatly simplify the control method of smart devices, reduce the occurrence of situations where the smart device cannot be controlled due to the user forgetting or being unable to issue a control command, improve the intelligence and convenience of smart device control, thereby providing users with a more comfortable living environment, and reduce safety hazards and unnecessary energy consumption caused by the user's inability to turn off an already turned-on smart device.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a scene mode adaptation control method and device. Background Art

[0002] With the development of social economy, people are increasingly pursuing the comfort and convenience of their homes, and smart device products, such as smart home products, are also playing an increasingly important role in people's daily lives.

[0003] In real life, the control instructions of smart device control systems are mainly voice and gesture commands issued by users, or instructions triggered by users on portable networked devices, and then the working status of smart device products is controlled according to the control instructions. However, practice has found that existing smart device control methods still require manual control by users, and require users to consciously issue corresponding control instructions to each smart device product one by one. The convenience of smart device control is low. Once the user forgets or has no time to issue a control instruction, the smart device product will remain in the current working state, unable to achieve true intelligence and unable to provide users with a more comfortable living environment. It can be seen that how to improve the intelligence of smart device control and provide users with a more comfortable living environment is particularly important. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a scene mode adaptation control method and device, which can help improve the intelligence of smart device control and thus provide users with a more comfortable living environment.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses a scene mode adaptation control method, the method comprising:

[0006] Based on the wearable device of the target user, collecting the current physical parameters of the target user;

[0007] Analyze the current physical parameters of the target user to obtain the current living status of the target user;

[0008] Determining a scenario mode suitable for the target user based on the life status;

[0009] Determining at least one smart device to be controlled in a target area corresponding to the target user based on the determined scene mode adapted for the target user;

[0010] Based on the determined scene mode, each of the smart devices is controlled to perform a matching operation.

[0011] As an optional embodiment, in the first aspect of the present invention, the wearable device includes smart shoes;

[0012] After the target user's wearable device collects the target user's current physical parameters and before analyzing the target user's current physical parameters to obtain the target user's current living status, the method further includes:

[0013] determining a body posture of the target user based on contact surface parameters of the smart shoe and the target user's foot collected by the smart shoe, wherein the contact surface parameters include contact surface shape, contact surface pressure, and contact surface area;

[0014] determining, based on the body posture, whether there is a support for the target user's body;

[0015] When the support object does not exist, calculating a weight parameter of the target user according to the contact surface pressure, and determining a user identity of the target user according to the weight parameter;

[0016] When the support object exists, determining whether there is a user identity matching the body parameters, the contact surface area, and the contact surface shape in a database corresponding to the smart shoe; and if the user identity exists in the database, determining the user identity as the user identity of the target user;

[0017] Acquire the target user's living habit records from the database corresponding to the smart shoes according to the user identity;

[0018] Furthermore, analyzing the current physical parameters of the target user to obtain the current living status of the target user includes:

[0019] Analyze the living habit records and the physical parameters to obtain the current living status of the target user;

[0020] The determining of a scene mode adapted for the target user according to the living status includes:

[0021] The scenario mode adapted for the target user is determined according to the user identity and the life status.

[0022] As an optional implementation manner, in the first aspect of the present invention, before the wearable device based on the target user collects the current physical parameters of the target user, the method further includes:

[0023] Detecting whether the smart shoes are in a wearing state;

[0024] When the detection result is yes, triggering the execution of the operation of collecting the current physical parameters of the target user based on the wearable device of the target user;

[0025] When the detection result is no, detecting whether the smart shoe receives a wireless short-range signal sent by a portable device of the target user;

[0026] When detecting that the smart shoe receives the wireless short-range signal, acquiring the current target body parameters of the target user collected by the portable device based on the wireless short-range signal;

[0027] determining, based on the target body parameters, whether the target user has a need to use the smart shoes;

[0028] When the judgment result is yes, determining a moving path corresponding to the smart shoe based on the position of the smart shoe and the corresponding position of the portable device;

[0029] The smart shoes are controlled to move to a position corresponding to the portable device according to the moving path.

[0030] As an optional implementation, in the first aspect of the present invention, after obtaining the target user's living habit record from the database corresponding to the smart shoe, the method further includes:

[0031] Based on the living habit record, predict the remaining duration of the target user in the living state, the next living state of the target user after the end of the living state, and the next target area corresponding to the target user after the end of the living state;

[0032] Determining a next scenario mode adapted for the target user according to the user identity and the next life status;

[0033] Based on the determined next scene mode, determining at least one target smart device in the next target area that needs to be controlled in advance and an advance control duration corresponding to each target smart device;

[0034] For each target smart device, determine whether the remaining duration is less than the advance control duration corresponding to the target smart device. When the determination result is yes, control the target smart device to perform a matching advance control operation based on the next scene mode.

[0035] As an optional implementation manner, in the first aspect of the present invention, determining the scene mode adapted for the target user based on the user identity and the life status includes:

[0036] Detecting whether there is a scene pattern in the database that matches the user identity and the life status of the target user;

[0037] When the detection result is yes, determining the certain scene mode as the scene mode adapted for the target user;

[0038] When the detection result is no, detecting whether there exists in the database a parameter value range of a first comfort environment parameter matching the user identity and a parameter value range of a second comfort environment parameter matching the living status, wherein the parameter type of the first comfort environment parameter is consistent with the parameter type of the second comfort environment parameter;

[0039] When detecting that the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter exist in the database, determining whether the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter have an intersection;

[0040] When the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter have the intersection, calculating a first average value of the parameter values ​​corresponding to two endpoints of the intersection, and generating a scene mode that matches both the user identity and the life status based on the first average value;

[0041] When there is no intersection between the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter, the endpoint of the two endpoints of the parameter value range of the first comfort environment parameter close to the parameter value range of the second comfort environment parameter is determined as the first endpoint, and the endpoint of the two endpoints of the parameter value range of the second comfort environment parameter close to the parameter value range of the first comfort environment parameter is determined as the second endpoint, and the second average value of the parameter value corresponding to the first endpoint and the parameter value corresponding to the second endpoint is calculated, and based on the first average value, a scene mode that matches both the user identity and the life status is generated.

[0042] As an optional implementation manner, in the first aspect of the present invention, the number of target users is greater than 1;

[0043] Before determining at least one smart device to be controlled in a target area corresponding to the target user based on the determined scene mode adapted for the target user, the method further includes:

[0044] Determining whether the scene modes adapted by all the target users are the same scene mode;

[0045] When the judgment result is no, determining all user categories included in all the target users and the number of users corresponding to each user category, and determining the scene mode types included in the scene modes adapted by all the target users and the number of users corresponding to each scene mode type;

[0046] Determining a first weight corresponding to each user category according to the number of users corresponding to each user category, and determining a second weight corresponding to each scene mode type according to the number of users corresponding to each scene mode;

[0047] Calculating a comprehensive weight corresponding to each target user based on the first weight corresponding to each target user and the second weight corresponding to each target user;

[0048] Calculating the total duration corresponding to all the scene modes according to the predetermined duration corresponding to each scene mode, where the duration corresponding to each scene mode is the duration required to start and end the scene mode;

[0049] Calculate the turn duration corresponding to each target user according to the total duration and the comprehensive weight corresponding to each target user;

[0050] Furthermore, determining at least one smart device to be controlled in a target area corresponding to the target user based on the determined scene mode adapted for the target user includes:

[0051] Based on the determined scene mode adapted for each target user and the turn duration corresponding to the target user, at least one smart device to be controlled in the target area corresponding to the target user is determined.

[0052] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0053] In the process of controlling each of the smart devices, monitoring the body parameter change curve of the target user collected by the wearable device;

[0054] Determining whether the body parameter change curve has an abnormal change trend;

[0055] When the judgment result is yes, judging whether the target user's living status has changed according to the body parameter change curve;

[0056] When the judgment result is yes, re-performing the operation of analyzing the current physical parameters of the target user to obtain the current living status of the target user;

[0057] When the judgment result is no, correcting the scene data corresponding to the scene mode according to the abnormal change trend to obtain corrected scene data corresponding to the scene mode;

[0058] determining at least one smart device to be modified in the target area according to the scene data corresponding to the scene mode before modification and the scene data corresponding to the scene mode after modification;

[0059] Based on the scene data corresponding to the revised scene mode, each of the smart devices to be revised is controlled to perform a matching operation.

[0060] A second aspect of the present invention discloses a scene mode adaptation control device, the device comprising:

[0061] A collection module, configured to collect the current physical parameters of the target user based on the wearable device of the target user;

[0062] An analysis module, configured to analyze the current physical parameters of the target user to obtain the current living status of the target user;

[0063] a determination module, configured to determine a scene mode adapted for the target user according to the life status, and determine at least one smart device to be controlled in a target area corresponding to the target user based on the determined scene mode adapted for the target user;

[0064] The control module is used to control each of the smart devices to perform a matching operation based on the determined scene mode.

[0065] As an optional implementation, in the second aspect of the present invention, the wearable device includes smart shoes;

[0066] The determination module is further configured to determine the body posture of the target user based on contact surface parameters of the smart shoe and the target user's foot collected by the smart shoe after the collection module collects the target user's current body parameters based on the target user's wearable device, wherein the contact surface parameters include contact surface shape, contact surface pressure, and contact surface area;

[0067] The device further comprises:

[0068] a determination module, configured to determine, based on the body posture, whether there is a support for the target user's body, and, if it is determined that there is a support, determine whether there is a user identity in a database corresponding to the smart shoe that matches the body parameters, the contact surface area, and the contact surface shape;

[0069] a calculation module, configured to calculate a weight parameter of the target user based on the contact surface pressure when the judgment module determines that the support object does not exist;

[0070] The determination module is further configured to determine the user identity of the target user based on the weight parameter, or, when the determination module determines that the certain user identity exists in the database, determine the certain user identity as the user identity of the target user;

[0071] an acquisition module, configured to acquire the target user's life habit records from the database corresponding to the smart shoe according to the user identity, and trigger the analysis module to perform the operation of analyzing the target user's current physical parameters to obtain the target user's current life status;

[0072] The specific manner in which the analysis module analyzes the current physical parameters of the target user and obtains the current living status of the target user is as follows:

[0073] Analyze the living habit records and the physical parameters to obtain the current living status of the target user;

[0074] Furthermore, the specific manner in which the determination module determines the scene mode adapted to the target user according to the life status is:

[0075] The scenario mode adapted for the target user is determined according to the user identity and the life status.

[0076] As an optional embodiment, in the second aspect of the present invention, the device further includes:

[0077] a detection module, configured to detect whether the smart shoes are in a wearing state before the acquisition module acquires the current physical parameters of the target user based on the wearable device of the target user; when the detection result is yes, trigger the acquisition module to execute the operation of acquiring the current physical parameters of the target user based on the wearable device of the target user; and when the detection result is no, detect whether the smart shoes receive a wireless short-range signal sent by the portable device of the target user;

[0078] The acquisition module is further configured to acquire the current target body parameters of the target user collected by the portable device based on the wireless short-range signal when the detection module detects that the smart shoe receives the wireless short-range signal;

[0079] The judgment module is further configured to judge whether the target user has a need to use the smart shoes based on the target body parameters;

[0080] The determination module is further configured to determine a movement path corresponding to the smart shoes based on the position of the smart shoes and the position corresponding to the portable device when the judgment module determines whether the target user has a need to use the smart shoes;

[0081] The control module is further configured to control the smart shoes to move to a position corresponding to the portable device according to the moving path.

[0082] As an optional embodiment, in the second aspect of the present invention, the device further includes:

[0083] a prediction module, configured to, after the acquisition module acquires the target user's living habit record from the database corresponding to the smart shoe, predict, based on the living habit record, the remaining duration of the target user in the living state, the target user's next living state after the end of the living state, and the target area corresponding to the target user after the end of the living state;

[0084] The determination module is further configured to determine a next scenario mode adapted for the target user based on the user identity and the next life status, and determine, based on the determined next scenario mode, at least one target smart device in the next target area that needs to be controlled in advance and an advance control duration corresponding to each target smart device;

[0085] The determination module is further configured to determine, for each target smart device, whether the remaining duration is less than the advance control duration corresponding to the target smart device;

[0086] The control module is further configured to control the target smart device to perform a matching advance control operation based on the next scenario mode when the judgment module determines that the remaining duration is less than the advance control duration corresponding to the target smart device for each target smart device.

[0087] As an optional implementation, in the second aspect of the present invention, the specific manner in which the determination module determines the scene mode adapted for the target user according to the user identity and the life status is:

[0088] Detecting whether there is a scene pattern in the database that matches the user identity and the life status of the target user;

[0089] When the detection result is yes, determining the certain scene mode as the scene mode adapted for the target user;

[0090] When the detection result is no, detecting whether there exists in the database a parameter value range of a first comfort environment parameter matching the user identity and a parameter value range of a second comfort environment parameter matching the living status, wherein the parameter type of the first comfort environment parameter is consistent with the parameter type of the second comfort environment parameter;

[0091] When detecting that the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter exist in the database, determining whether the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter have an intersection;

[0092] When the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter have the intersection, calculating a first average value of the parameter values ​​corresponding to two endpoints of the intersection, and generating a scene mode that matches both the user identity and the life status based on the first average value;

[0093] When there is no intersection between the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter, the endpoint of the two endpoints of the parameter value range of the first comfort environment parameter close to the parameter value range of the second comfort environment parameter is determined as the first endpoint, and the endpoint of the two endpoints of the parameter value range of the second comfort environment parameter close to the parameter value range of the first comfort environment parameter is determined as the second endpoint, and the second average value of the parameter value corresponding to the first endpoint and the parameter value corresponding to the second endpoint is calculated, and based on the first average value, a scene mode that matches both the user identity and the life status is generated.

[0094] As an optional implementation manner, in the second aspect of the present invention, the number of target users is greater than 1;

[0095] The judging module is further configured to judge whether the scene modes adapted for all target users are the same scene mode before the determining module determines at least one smart device to be controlled in the target area corresponding to the target user based on the determined scene mode adapted for the target user;

[0096] The determining module is further configured to, when the judging module determines that the scene modes adapted for all the target users are not the same scene mode, determine all user categories included by all the target users and the number of users corresponding to each user category, and determine the scene mode types included in the scene modes adapted for all the target users and the number of users corresponding to each scene mode type; determine a first weight corresponding to each user category based on the number of users corresponding to each user category, and determine a second weight corresponding to each scene mode type based on the number of users corresponding to each scene mode;

[0097] The calculation module is further configured to calculate a comprehensive weight corresponding to each target user based on a first weight corresponding to each target user and a second weight corresponding to each target user, and calculate a total duration corresponding to all the scene modes based on a predetermined duration corresponding to each scene mode, where the duration corresponding to each scene mode is the duration required from the start of the scene mode to the end of the scene mode, and calculate a turn duration corresponding to each target user based on the total duration and the comprehensive weight corresponding to each target user, and trigger the determination module to execute the determined scene mode adapted for the target user, and determine the operation of at least one smart device to be controlled in the target area corresponding to the target user;

[0098] The specific manner in which the determination module determines at least one smart device to be controlled in the target area corresponding to the target user based on the determined scene mode adapted to the target user is:

[0099] Based on the determined scene mode adapted for each target user and the turn duration corresponding to the target user, at least one smart device to be controlled in the target area corresponding to the target user is determined.

[0100] As an optional embodiment, in the second aspect of the present invention, the device further includes:

[0101] A monitoring module, configured to monitor a curve of changes in the body parameters of the target user collected by the wearable device during the process of controlling each of the smart devices;

[0102] The judgment module is further configured to judge whether there is an abnormal change trend in the body parameter change curve. If the judgment result is yes, the judgment module is configured to judge whether the target user's living status has changed based on the body parameter change curve. If it is judged that the target user's living status has changed, the analysis module is triggered to re-execute the operation of analyzing the target user's current body parameters to obtain the target user's current living status.

[0103] a correction module, configured to, when the judgment module determines that the target user's living status has not changed, correct the scene data corresponding to the scene mode according to the abnormal change trend, to obtain the corrected scene data corresponding to the scene mode;

[0104] The determining module is further configured to determine at least one smart device to be modified in the target area based on the scene data corresponding to the scene mode before modification and the scene data corresponding to the scene mode after modification;

[0105] The control module is further configured to control each of the to-be-corrected smart devices to perform a matching operation based on the scene data corresponding to the corrected scene mode.

[0106] A third aspect of the present invention discloses a wearable device for executing the scene mode adaptation control method disclosed in the first aspect of the present invention.

[0107] A fourth aspect of the present invention discloses another scene mode adaptation control device, the device comprising:

[0108] a memory storing executable program code;

[0109] a processor coupled to the memory;

[0110] The processor calls the executable program code stored in the memory to execute the scene mode adaptation control method disclosed in the first aspect of the present invention.

[0111] A fifth aspect of the present invention discloses a computer storage medium, wherein the computer storage medium stores computer instructions. When the computer instructions are called, they are used to execute the scene mode adaptation control method disclosed in the first aspect of the present invention.

[0112] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0113] In an embodiment of the present invention, the current body parameters of the target user are collected based on the wearable device of the target user; the current body parameters of the target user are analyzed to obtain the current life status of the target user; based on the life status, the scene mode adapted for the target user is determined; based on the determined scene mode adapted for the target user, at least one smart device to be controlled in the target area corresponding to the target user is determined; based on the determined scene mode, each smart device is controlled to perform a matching operation. It can be seen that the implementation of the present invention can realize automatic control of smart devices in the area by analyzing the body parameters of the user collected by the wearable device, greatly simplifying the control method of the smart device, reducing the occurrence of the inability to control the smart device due to the user forgetting or failing to issue a control instruction, improving the intelligence and convenience of the smart device control, thereby providing the user with a more comfortable living environment. In addition, it can also reduce the safety hazards and unnecessary energy consumption caused by the user's inability to turn off the turned-on smart device. BRIEF DESCRIPTION OF THE DRAWINGS

[0114] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technical users in this field, other drawings can be obtained based on these drawings without creative work.

[0115] Figure 1 This is a flow chart of a scene mode adaptation control method disclosed in an embodiment of the present invention;

[0116] Figure 2 is a flow chart of another scene mode adaptation control method disclosed in an embodiment of the present invention;

[0117] Figure 3 It is a structural diagram of a scene mode adaptation control device disclosed in an embodiment of the present invention;

[0118] Figure 4 is a structural diagram of another scene mode adaptation control device disclosed in an embodiment of the present invention;

[0119] Figure 5 It is a structural diagram of another scene mode adaptation control device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0120] To help users in this technical field better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by users of ordinary skill in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0121] The terms "first," "second," and so on, in the description and claims of the present invention and the accompanying drawings are used to distinguish between different items, not to describe a specific order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or end comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed therein, or may optionally include other steps or elements inherent to such process, method, product, or end.

[0122] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0123] The present invention discloses a scene mode adaptive control method and device that can automatically control smart devices in a region by analyzing the user's body parameters collected by a wearable device. This greatly simplifies the control of smart devices, reduces the occurrence of situations where the user cannot control the smart device due to forgetting or being unable to issue control commands, improves the intelligence and convenience of smart device control, and thus provides users with a more comfortable living environment. In addition, it can also reduce safety hazards and unnecessary energy consumption caused by the user's inability to turn off an already turned-on smart device. Detailed descriptions are given below.

[0124] Example 1

[0125] See also Figure 1 , Figure 1 This is a flow chart of a scene mode adaptation control method disclosed in an embodiment of the present invention. Figure 1 The described scene mode adaptation control method can be applied to wearable devices, and can also be applied to smart device control systems that interact with wearable devices, and the embodiments of the present invention do not limit this. Figure 1 As shown, the adaptation control method of the scene mode may include the following operations:

[0126] 101. Based on the wearable device of the target user, collect the current body parameters of the target user.

[0127] Among them, wearable devices may include any smart portable devices such as smart bracelets, smart shoes, smart glasses, etc. that can be worn on the target user and can be used to collect the target user's physical parameters. Optionally, the wearable device can be equipped with various types of sensors, such as pressure sensors, light sensors, sound sensors, temperature sensors, motion sensors, biosensors, etc. Biosensors include bioresistance sensors and / or biocapacitance sensors. Wearable devices can collect external information through the installed sensors.

[0128] The physical parameters collected by the wearable device may include one or more of the target user's heart rate, body temperature, blood pressure, blood flow velocity, blood oxygen saturation, blood glucose content, muscle tension, etc. When the wearable device includes smart shoes, the collected physical parameters may also include one or more of the target user's weight, muscle content, water content, bone density, fat content, etc. Optionally, the above-mentioned physical parameters may be collected by an integrated sensor or by different independent sensors. For example, the heart rate of the target user may be collected by a heart rate sensor, and the temperature of the target user may be collected by a temperature sensor. This is not limited in the embodiments of the present invention.

[0129] 102. Analyze the current physical parameters of the target user to obtain the current living status of the target user.

[0130] The target user's current life status may include eating, sleeping, getting up, watching TV, taking a bath, working, etc. When the target user's life status changes, his or her body parameters also change accordingly. For example, when the target user is currently in a state of intense exercise, his or her body temperature increases, heart rate increases, breathing becomes deeper, breathing rate increases, blood flow speed increases, muscle tension increases, blood pressure increases, and other body parameter values ​​change. Therefore, the target user's life status can be determined based on the parameter values ​​of the body parameters related to the target user's life status. Optionally, the target user can upload his or her body parameters in different life statuses to the database corresponding to the wearable device in advance. After the target user's current body parameters are collected through the wearable device, the target user's current body parameters can be matched with his or her body parameters in different states to obtain a matching result. The target user's current life status is determined based on the matching result, thereby achieving personalized determination of the target user's life status.

[0131] 103. Determine the scene mode suitable for target users based on their living conditions.

[0132] In an embodiment of the present invention, step 103 can be performed by the wearable device or by an intelligent device control system (such as a smart speaker, smart gateway, etc.) that interacts with the wearable device. Specifically, after the wearable device determines the target user's living status, it can send the target user's living status to the intelligent device control system, and the intelligent device control system can filter the scene mode that matches the living status in the cloud database or local database. Optionally, the scene data of the scene mode can be pre-stored in the cloud database or local database, or can be customized by the user and uploaded to the cloud database or stored in the local database, which is not limited in the embodiment of the present invention.

[0133] As an optional implementation, determining a scene mode adapted for a target user based on their living conditions may include:

[0134] According to the time type and life status of the current time, the scene mode adapted for the target user is determined, wherein the time type may include a first time type and / or a second time type, wherein the first time type may include a season type and / or a solar term type, and the second time type may include morning, noon, afternoon, and evening.

[0135] It can be seen that the implementation of this optional implementation method can determine the scene mode in combination with life status and time, improve the accuracy and reliability of determining the scene mode, thereby improving the adaptability of the scene mode to the target user, and thus helping to provide users with a more comfortable living environment.

[0136] 104. Based on the determined scene mode adapted for the target user, determine at least one smart device to be controlled in the target area corresponding to the target user.

[0137] The target area corresponding to the target user may include the area where the target user is currently located, or may include areas where the target user is not currently located. For example, when the target user is sleeping in the bedroom, the target area may include the bedroom, or may include the living room, kitchen, etc. Smart devices may include one or more of smart air conditioners, smart speakers, smart televisions, smart lights, smart curtains, smart doors and windows, smart cleaning equipment, and smart water heaters.

[0138] 105. Based on the determined scene mode, control each smart device to perform a matching operation.

[0139] For example, when the body parameters collected by the wearable device indicate that the target user is in a resting state, the scene mode adapted for the target user is determined according to the resting state, and based on the scene mode, the automatically controllable smart curtains can be closed, the smart lights can be turned off or the lights of the smart lights can be dimmed, and the audio or TV that is playing can be turned off.

[0140] It can be seen that the implementation of the embodiment of the present invention can realize automatic control of smart devices in the area by analyzing the user's body parameters collected by wearable devices, greatly simplifying the control method of smart devices, reducing the occurrence of situations where smart devices cannot be controlled due to users forgetting or being unable to issue control instructions, and improving the intelligence and convenience of smart device control, thereby providing users with a more comfortable living environment. In addition, it can also reduce safety hazards and unnecessary energy consumption caused by users being unable to turn off turned-on smart devices.

[0141] In an optional embodiment, the number of target users is greater than 1;

[0142] Before determining at least one smart device to be controlled in a target area corresponding to the target user based on the determined scene mode adapted for the target user, the method may further include:

[0143] Determine whether the scene modes adapted by all target users are the same scene mode;

[0144] When the judgment result is no, determining all user categories included in all target users and the number of users corresponding to each user category, and determining the scene mode types included in the scene modes adapted by all target users and the number of users corresponding to each scene mode type;

[0145] Determine a first weight corresponding to each user category based on the number of users corresponding to each user category, and determine a second weight corresponding to each scene mode type based on the number of users corresponding to each scene mode;

[0146] Calculate the comprehensive weight corresponding to each target user based on the first weight corresponding to each target user and the second weight corresponding to each target user;

[0147] Calculate the total duration of all scene modes based on the predetermined duration of each scene mode, where the duration of each scene mode is the duration from the start of the scene mode to the end of the scene mode.

[0148] Calculate the turn duration for each target user based on the total duration and the comprehensive weight corresponding to each target user;

[0149] And, based on the determined scene mode adapted for the target user, determining at least one smart device to be controlled in the target area corresponding to the target user, including:

[0150] At least one smart device to be controlled in the target area corresponding to the target user is determined based on the determined scene mode adapted for each target user and the turn duration corresponding to the target user.

[0151] It can be seen that the implementation of this optional embodiment can control the smart device based on the scene mode adapted for each user in turn according to the weight corresponding to each user in a multi-person scenario, thereby meeting everyone's needs for a comfortable living environment, improving the flexibility and diversity of smart device control, and can also adjust the priority of different users through weights, thereby providing a more comfortable living environment for specific types of users such as children, the elderly and other vulnerable groups.

[0152] In another optional embodiment, the method may further include:

[0153] In the process of controlling each smart device, the target user's body parameter change curve collected by the wearable device is monitored;

[0154] Determine whether there is an abnormal trend in the body parameter change curve;

[0155] If the result of the judgment is yes, it is determined whether the target user's living status has changed based on the body parameter change curve;

[0156] When the judgment result is yes, the above-mentioned operation of analyzing the current physical parameters of the target user to obtain the current living status of the target user is performed again;

[0157] When the judgment result is no, the scene data corresponding to the scene mode is corrected according to the abnormal change trend to obtain the scene data corresponding to the corrected scene mode;

[0158] determining at least one smart device to be corrected in the target area according to the scene data corresponding to the scene mode before correction and the scene data corresponding to the scene mode after correction;

[0159] Based on the scene data corresponding to the revised scene mode, each smart device to be revised is controlled to perform a matching operation.

[0160] It can be seen that the implementation of this optional embodiment can change the scene mode in time when the user's living status changes, or adjust the scene mode data in time when the user's body parameters are abnormal due to the current scene mode being uncomfortable, thereby improving the flexibility and intelligence of controlling smart devices based on scene modes, thereby providing users with a more comfortable living environment and helping to improve the user experience of wearable devices.

[0161] In yet another optional embodiment, the method may further include:

[0162] Detect whether the wearable device receives a door opening request sent by the door lock device in the scene where the target user is located;

[0163] When the detection result is yes, determining whether the target user can go to the location of the door corresponding to the door lock device and open the door according to the current living status of the target user;

[0164] When the judgment result is no, determining the identity of the target person who triggers the door opening request through the door lock device;

[0165] Determine whether the target person's identity is on the whitelist;

[0166] When it is determined that the target person's identity is the whitelist identity, the door lock device is controlled to perform a matching door opening operation.

[0167] It can be seen that the implementation of this optional embodiment can automatically control the door lock device to open the door based on the wearable device when the user is unable to open the door for the person who requests to open the door, enriching the functions of the wearable device, improving the convenience and intelligence of opening the door, thereby improving the user experience of the wearable device, and controlling the door lock device to open the door only when the identity of the person requesting to open the door is a whitelist identity, which can improve the safety, accuracy and reliability of opening the door.

[0168] In yet another optional embodiment, before collecting the target user's current physical parameters based on the target user's wearable device, the method may further include:

[0169] Detect whether the wearable device is in the wearing state;

[0170] If the detection result is negative, determine the target time period from the moment the wearable device was last removed to the current moment, and determine the working status of all target devices and the switch status of all door locks in the scene corresponding to the wearable device within the target time period;

[0171] Analyze the working status of all target devices, the switch status of all door locks, and the user habit records pre-acquired from the database corresponding to the wearable device to obtain analysis results;

[0172] The target user's current life status and the target area corresponding to the target user in the scene corresponding to the wearable device are determined according to the analysis results, and the above-mentioned operation of determining the scene mode adapted to the target user according to the life status is triggered.

[0173] It can be seen that the implementation of this optional embodiment can determine the user's current life status based on the device's working status, door lock switch status and user habit records when the user is not wearing a wearable device, thereby improving the diversity, flexibility and accuracy of the methods for determining the life status, reducing the occurrence of situations where the smart device cannot be controlled due to the user not wearing a wearable device, and improving the intelligence of the smart device control.

[0174] In yet another optional embodiment, the method may further include:

[0175] Determining whether the target user has moved from the target area to another area based on the target user's location information collected by the wearable device;

[0176] If the result of the judgment is yes, determining the time interval between the time when the target user leaves the target area and the current time;

[0177] Determine whether the interval duration is greater than a preset duration, and if so, determine whether there are other users in the target area except the target user;

[0178] When there are other users in the target area, all smart devices are controlled to perform matching operations based on the scene modes adapted by other users.

[0179] When there are no other users except the target user in the target area, all first smart devices that need to enter the shutdown state and all second smart devices that need to enter the standby state among all smart devices are determined, and each first smart device is controlled to switch from the current working state of the first smart device to the shutdown state, and each second smart device is controlled to switch from the current working state of the second smart device to the standby state.

[0180] It can be seen that the implementation of this optional embodiment can control the smart devices in a certain area to perform matching operations when the user leaves the area, provide a more comfortable living environment for other people in the area, and reduce unnecessary energy consumption and safety hazards caused by the user forgetting to turn off the smart devices when leaving the area.

[0181] Example 2

[0182] See also Figure 2 , Figure 2 This is a flow chart of a scene mode adaptation control method disclosed in an embodiment of the present invention. Figure 2 The described scene mode adaptation control method can be applied to wearable devices, and can also be applied to smart device control systems that interact with wearable devices, and the embodiments of the present invention do not limit this. Figure 2 As shown, the adaptation control method of the scene mode may include the following operations:

[0183] 201. Based on the wearable device of the target user, the current body parameters of the target user are collected, and the wearable device includes smart shoes.

[0184] 202. Determine the target user's body posture based on contact surface parameters collected by the smart shoe between the smart shoe and the target user's foot, wherein the contact surface parameters include contact surface shape, contact surface pressure, and contact surface area.

[0185] 203. Determine whether there is a support for the target user's body based on the body posture.

[0186] When the target user's body posture indicates that the target user is in a lying or sitting state, it can be determined that there is a support for the target user's body, and when the target user's body posture indicates that the target user is in a standing, walking, or squatting state, it can be determined that there is no support for the target user's body.

[0187] 204. When the judgment result of step 203 is yes, determine whether there is a user identity matching the body parameters, contact surface area, and contact surface shape in the database corresponding to the smart shoe.

[0188] 205. When the judgment result of step 204 is yes, a certain user identity is determined as the user identity of the target user.

[0189] 206. When the judgment result of step 203 is no, calculate the weight parameter of the target user according to the contact surface pressure.

[0190] In this optional embodiment, when both the first shoe and the second shoe included in the smart shoe are in a worn state, the target user's weight parameter can be calculated based on the contact surface pressure collected by the first shoe and the contact surface pressure collected by the second shoe. When only one of the first shoe and the second shoe included in the smart shoe is in a worn state, the target user's weight parameter is calculated based on the contact surface pressure collected by the target shoe. This can improve the accuracy, reliability, and flexibility of calculating the weight parameter.

[0191] 207. Determine the user identity of the target user based on the weight parameter.

[0192] Optionally, the user identity of the target user and the corresponding user data may be pre-stored in a database corresponding to the wearable device, and the user data may include weight parameters.

[0193] 208. Obtain the target user's living habit records from the database corresponding to the smart shoes according to the user identity.

[0194] 209. Analyze living habit records and physical parameters to obtain the current living status of the target user.

[0195] 210. Determine the scenario mode suitable for the target user based on the user's identity and life status.

[0196] As an optional implementation, determining the scene mode adapted for the target user based on the user's identity and life status may include:

[0197] Check whether there is a scenario pattern in the database that matches the target user's identity and life status;

[0198] When the detection result is yes, a certain scene mode is determined as the scene mode adapted for the target user;

[0199] When the detection result is no, checking whether there is a parameter value range of the first comfort environment parameter matching the user identity and a parameter value range of the second comfort environment parameter matching the living status in the database, wherein the parameter type of the first comfort environment parameter is consistent with the parameter type of the second comfort environment parameter;

[0200] When detecting that the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter exist in the database, determining whether the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter have an intersection;

[0201] When the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter intersect, calculating a first average value of the parameter values ​​corresponding to the two endpoints of the intersection, and generating a scene mode that matches both the user identity and life status based on the first average value;

[0202] When there is no intersection between the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter, the endpoint of the two endpoints of the parameter value range of the first comfort environment parameter that is close to the parameter value range of the second comfort environment parameter is determined as the first endpoint, and the endpoint of the two endpoints of the parameter value range of the second comfort environment parameter that is close to the parameter value range of the first comfort environment parameter is determined as the second endpoint, and the second average value of the parameter value corresponding to the first endpoint and the parameter value corresponding to the second endpoint are calculated, and based on the first average value, a scene mode that matches the user identity and life status is generated.

[0203] It can be seen that the implementation of this optional embodiment can determine the scene mode in combination with the user's user identity and life status, improve the accuracy and reliability of determining the scene mode, and can automatically create the scene mode, reducing the situation where the smart device cannot be controlled due to the absence of an adapted scene mode in the database, and improving the diversity and flexibility of determining the scene mode, which is conducive to providing users with a more comfortable living environment.

[0204] 211. Based on the determined scene mode adapted for the target user, determine at least one smart device to be controlled in the target area corresponding to the target user.

[0205] 212. Based on the determined scene mode, control each smart device to perform a matching operation.

[0206] In the embodiment of the present invention, for other descriptions of step 201, step 209, step 210, step 211, and step 212, please refer to the detailed description of step 101 to step 105 in embodiment 1, and the embodiment of the present invention will not be repeated here.

[0207] It can be seen that the implementation of the embodiments of the present invention can determine the user's living status based on the user's living habits and the user's physical parameters corresponding to the user's identity, thereby improving the accuracy and reliability of determining the user's living status, and determining the scene mode based on the user's identity and living status, thereby improving the adaptability of the determined scene mode to the user. Moreover, automatic control of smart devices in the area is achieved according to the scene mode, which greatly simplifies the control method of the smart devices, reduces the occurrence of situations where the smart devices cannot be controlled due to the user forgetting or being unable to issue control instructions, improves the intelligence and convenience of the smart device control, and thus provides users with a more comfortable living environment. In addition, it can also reduce safety hazards and unnecessary energy consumption caused by the user's inability to turn off the turned-on smart devices.

[0208] In an optional embodiment, before collecting the current physical parameters of the target user based on the wearable device of the target user, the method may further include:

[0209] Detect whether the smart shoes are in the wearing state;

[0210] When the detection result is yes, the above-mentioned operation of collecting the current physical parameters of the target user based on the wearable device of the target user is triggered;

[0211] When the detection result is no, detecting whether the smart shoe receives the wireless short-range signal sent by the target user's portable device;

[0212] When it is detected that the smart shoe receives a wireless short-range signal, the current target body parameters of the target user collected by the portable device are obtained based on the wireless short-range signal;

[0213] According to the target body parameters, determine whether the target user has the need to use smart shoes;

[0214] When the judgment result is yes, determining a moving path corresponding to the smart shoe based on the position of the smart shoe and the corresponding position of the portable device;

[0215] The smart shoes are controlled to move to the corresponding position of the portable device according to the moving path.

[0216] It can be seen that the implementation of this optional embodiment can enable the user to interact with the portable device on the user through the smart shoes when the user is not wearing the smart shoes, so as to realize the mobile control of the smart shoes when the user needs to use the smart shoes, enrich the functions of the smart shoes, and reduce the occurrence of situations where the smart shoes cannot be used smoothly due to the smart shoes being placed randomly, thereby improving the convenience of the user wearing the smart shoes, thereby improving the user experience of the smart shoes.

[0217] In this optional embodiment, as an optional implementation manner, after determining that the target user has a need to use the smart shoes, and before controlling the smart shoes to move to a position corresponding to the portable device according to the movement path, the method may further include:

[0218] Determine the ambient temperature of the current environment based on smart shoes;

[0219] Determine whether the target user has a need for heated smart shoes based on the ambient temperature;

[0220] When the judgment result is yes, the smart shoes are controlled to perform a matching self-heating operation according to the predetermined comfortable temperature corresponding to the target user.

[0221] It can be seen that implementing this optional implementation method can control the self-heating of the smart shoes to a comfortable temperature before the user puts on the smart shoes, enriching the functions of the smart shoes and improving the user experience of the smart shoes.

[0222] In another optional embodiment, after obtaining the target user's living habit records from the database corresponding to the smart shoes, the method may further include:

[0223] Based on the life habit records, predict the remaining duration of the target user in the life state, the target user's next life state after the life state ends, and the target area corresponding to the target user after the life state ends;

[0224] Determine the next scenario mode suitable for the target user based on the user's identity and next life status;

[0225] Based on the determined next scene mode, determining at least one target smart device that needs to be controlled in advance in the next target area and the advance control duration corresponding to each target smart device;

[0226] For each target smart device, determine whether the remaining duration is less than the advance control duration corresponding to the target smart device. If the determination result is yes, control the target smart device to perform a matching advance control operation based on the next scene mode.

[0227] It can be seen that the implementation of this optional embodiment can determine the work scene and control the smart device in advance according to the user's living habits, so that when the user's living conditions change, he can immediately enjoy the comfortable environment adjusted in advance, thereby improving the intelligence and humanization of the smart device control, and can also reduce the time cost consumed by the user, thereby helping to improve the user experience.

[0228] Example 3

[0229] See also Figure 3 , Figure 3 This is a schematic diagram of the structure of a scene mode adaptation control device disclosed in an embodiment of the present invention. Figure 3 The described scene mode adaptation control device can be applied to wearable devices, and can also be applied to smart device control systems that interact with wearable devices, and the embodiments of the present invention do not limit this. Figure 3 As shown, the adaptation control device of the scene mode may include:

[0230] The collection module 301 is used to collect the current physical parameters of the target user based on the wearable device of the target user;

[0231] Analysis module 302, used to analyze the current physical parameters of the target user to obtain the current living status of the target user;

[0232] A determination module 303 is configured to determine a scene mode adapted for a target user according to the target user's living conditions, and determine at least one smart device to be controlled in a target area corresponding to the target user based on the determined scene mode adapted for the target user;

[0233] The control module 304 is configured to control each smart device to perform a matching operation based on the determined scene mode.

[0234] It can be seen that implementation Figure 3 The described device can automatically control smart devices in the area by analyzing the user's physical parameters collected by wearable devices, greatly simplifying the control method of smart devices, reducing the occurrence of situations where smart devices cannot be controlled due to users forgetting or being unable to issue control instructions, and improving the intelligence and convenience of smart device control, thereby providing users with a more comfortable living environment. In addition, it can also reduce safety hazards and unnecessary energy consumption caused by users being unable to turn off turned-on smart devices.

[0235] In an optional embodiment, if Figure 4 As shown, wearable devices include smart shoes;

[0236] The determination module 303 is further configured to determine the target user's body posture based on contact surface parameters of the smart shoe and the target user's foot collected by the smart shoe after the collection module 301 collects the target user's current body parameters based on the target user's wearable device, wherein the contact surface parameters include contact surface shape, contact surface pressure, and contact surface area;

[0237] And, the device may further include:

[0238] The determination module 305 is configured to determine whether there is a support for the target user's body based on the body posture. If a support is determined to be present, the determination module 305 determines whether there is a user identity in the database corresponding to the smart shoe that matches the body parameters, contact surface area, and contact surface shape.

[0239] The calculation module 306 is configured to calculate the target user's weight parameter based on the contact surface pressure when the judgment module 305 determines that there is no support object;

[0240] The determination module 303 is further configured to determine the user identity of the target user based on the weight parameter, or, when the determination module 305 determines that a certain user identity exists in the database, determine the certain user identity as the user identity of the target user;

[0241] The acquisition module 307 is used to obtain the target user's living habit records from the database corresponding to the smart shoe according to the user identity, and trigger the analysis module 302 to perform the above-mentioned analysis of the target user's current physical parameters to obtain the target user's current living status;

[0242] The specific method in which the analysis module 302 analyzes the current physical parameters of the target user and obtains the current living status of the target user is as follows:

[0243] Analyze lifestyle records and physical parameters to understand the target user's current living status;

[0244] Furthermore, the specific manner in which the determination module 303 determines the scene mode adapted to the target user according to the living status may be:

[0245] Determine the scenario mode suitable for target users based on their identity and life status.

[0246] It can be seen that implementation Figure 4 The described device can determine the user identity based on the parameters collected by the wearable device, and determine the user's living status based on the user's living habits and physical parameters corresponding to the user identity, thereby improving the accuracy and reliability of determining the user's living status, and determining the scene mode based on the user's identity and living status, thereby improving the adaptability of the determined scene mode to the user, thereby facilitating providing the user with a more comfortable living environment.

[0247] In another optional embodiment, Figure 4 As shown, the wearable device includes smart shoes, and the device may further include:

[0248] The detection module 308 is configured to detect whether the smart shoes are in a wearing state before the collection module 301 collects the current physical parameters of the target user based on the wearable device of the target user. When the detection result is yes, the collection module 301 is triggered to execute the above-mentioned operation of collecting the current physical parameters of the target user based on the wearable device of the target user. When the detection result is no, the smart shoes are configured to detect whether they receive a wireless short-range signal sent by the portable device of the target user.

[0249] The acquisition module 307 is further configured to acquire the current target body parameters of the target user collected by the portable device based on the wireless short-range signal when the detection module 308 detects that the smart shoe receives the wireless short-range signal;

[0250] The judgment module 305 is further used to judge whether the target user has a need to use smart shoes based on the target body parameters;

[0251] The determination module 303 is further configured to determine a corresponding moving path of the smart shoes based on the position of the smart shoes and the corresponding position of the portable device when the determination module 305 determines whether the target user has a need to use the smart shoes;

[0252] The control module 304 is further configured to control the smart shoes to move to a position corresponding to the portable device according to the moving path.

[0253] It can be seen that implementation Figure 4 The described device can also interact with a portable device on the user through the smart shoes when the user is not wearing the smart shoes, so as to realize mobile control of the smart shoes when the user needs to use the smart shoes, enriching the functions of the smart shoes, and reducing the occurrence of situations where the smart shoes cannot be used smoothly due to the smart shoes being placed randomly, thereby improving the convenience of the user wearing the smart shoes and thus improving the user experience of the smart shoes.

[0254] In another optional embodiment, Figure 4 As shown, the device may also include:

[0255] The prediction module 309 is used to predict the remaining duration of the target user's living state, the target user's next living state after the living state ends, and the target user's next target area after the living state ends, after the acquisition module 307 acquires the target user's living habit record from the database corresponding to the smart shoe;

[0256] The determination module 303 is further configured to determine a next scenario mode adapted for the target user based on the user identity and the next life status, and based on the determined next scenario mode, determine at least one target smart device that needs to be controlled in advance in the next target area and the corresponding advance control duration for each target smart device;

[0257] The judgment module 305 is further configured to judge, for each target smart device, whether the remaining duration is less than the advance control duration corresponding to the target smart device;

[0258] The control module 304 is further configured to control the target smart device to perform a matching advance control operation based on the next scenario mode when the judgment module 305 determines that the remaining duration is less than the advance control duration corresponding to the target smart device.

[0259] It can be seen that implementation Figure 4 The described device can also determine the work scene and control the smart device in advance according to the user's living habits, so that the user can immediately enjoy the comfortable environment adjusted in advance when the user's living conditions change, thereby improving the intelligence and humanization of the smart device control, and reducing the time cost consumed by the user, thereby helping to improve the user experience.

[0260] In another optional embodiment, Figure 4 As shown, the specific manner in which the determination module 303 determines the scene mode adapted to the target user according to the user identity and life status may be:

[0261] Check whether there is a scenario pattern in the database that matches the target user's identity and life status;

[0262] When the detection result is yes, a certain scene mode is determined as the scene mode adapted for the target user;

[0263] When the detection result is no, checking whether there is a parameter value range of the first comfort environment parameter matching the user identity and a parameter value range of the second comfort environment parameter matching the living status in the database, wherein the parameter type of the first comfort environment parameter is consistent with the parameter type of the second comfort environment parameter;

[0264] When detecting that the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter exist in the database, determining whether the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter have an intersection;

[0265] When the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter intersect, calculating a first average value of the parameter values ​​corresponding to the two endpoints of the intersection, and generating a scene mode that matches both the user identity and life status based on the first average value;

[0266] When there is no intersection between the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter, the endpoint of the two endpoints of the parameter value range of the first comfort environment parameter that is close to the parameter value range of the second comfort environment parameter is determined as the first endpoint, and the endpoint of the two endpoints of the parameter value range of the second comfort environment parameter that is close to the parameter value range of the first comfort environment parameter is determined as the second endpoint, and the second average value of the parameter value corresponding to the first endpoint and the parameter value corresponding to the second endpoint are calculated, and based on the first average value, a scene mode that matches the user identity and life status is generated.

[0267] It can be seen that implementation Figure 4 The described device can also determine the scene mode based on the user's user identity and life status, thereby improving the accuracy and reliability of determining the scene mode, and can automatically create the scene mode, reducing the occurrence of situations where the smart device cannot be controlled due to the absence of an adapted scene mode in the database, thereby improving the diversity and flexibility of determining the scene mode, thereby facilitating providing the user with a more comfortable living environment.

[0268] In another optional embodiment, Figure 4 As shown, the number of target users is greater than 1;

[0269] The judging module 305 is further configured to judge whether the scene modes adapted by all target users are the same scene mode before the determining module 303 determines at least one smart device to be controlled in the target area corresponding to the target user based on the scene mode adapted by the target user;

[0270] The determination module 303 is further configured to, when the judgment module 305 determines that the scene modes adapted for all target users are not the same scene mode, determine all user categories included in all target users and the number of users corresponding to each user category, determine the scene mode types included in the scene modes adapted for all target users and the number of users corresponding to each scene mode type, determine a first weight corresponding to each user category based on the number of users corresponding to each user category, and determine a second weight corresponding to each scene mode type based on the number of users corresponding to each scene mode;

[0271] The calculation module 306 is further configured to calculate a comprehensive weight corresponding to each target user based on the first weight corresponding to each target user and the second weight corresponding to each target user, and calculate the total duration corresponding to all scene modes based on the predetermined duration corresponding to each scene mode, where the duration corresponding to each scene mode is the duration required from the start of the scene mode to the end of the scene mode, and calculate the turn duration corresponding to each target user based on the total duration and the comprehensive weight corresponding to each target user, and trigger the determination module 303 to execute the above-mentioned scene mode adapted to the determined target user, and determine the operation of at least one smart device to be controlled in the target area corresponding to the target user;

[0272] The specific manner in which the determining module 303 determines at least one smart device to be controlled in the target area corresponding to the target user based on the determined scene mode adapted for the target user may be:

[0273] At least one smart device to be controlled in the target area corresponding to the target user is determined based on the determined scene mode adapted for each target user and the turn duration corresponding to the target user.

[0274] It can be seen that implementation Figure 4 The described device can also control smart devices based on the scene mode adapted for each user in turn according to the weight corresponding to each user in a multi-person scenario, thereby meeting everyone's needs for a comfortable living environment, improving the flexibility and diversity of smart device control, and can also adjust the priority of different users through weights, thereby providing a more comfortable living environment for specific types of users such as children, the elderly and other vulnerable groups.

[0275] In another optional embodiment, Figure 4 As shown, the device may also include:

[0276] The monitoring module 310 is used to monitor the target user's body parameter change curve collected by the wearable device during the process of controlling each smart device;

[0277] The judgment module 305 is further configured to judge whether there is an abnormal change trend in the body parameter change curve. If the judgment result is yes, it is determined whether the target user's living status has changed based on the body parameter change curve. If it is determined that the target user's living status has changed, the analysis module 302 is triggered to re-execute the above-mentioned operation of analyzing the target user's current body parameters to obtain the target user's current living status;

[0278] The correction module 311 is configured to correct the scene data corresponding to the scene mode according to the abnormal change trend when the judgment module 305 determines that the target user's living status has not changed, and obtain the scene data corresponding to the corrected scene mode;

[0279] The determination module 303 is further configured to determine at least one smart device to be controlled in the target area based on the scene data corresponding to the scene mode before correction and the scene data corresponding to the scene mode after correction;

[0280] The control module 304 is further configured to control each smart device to be corrected to perform a matching operation based on the scene data corresponding to the corrected scene mode.

[0281] It can be seen that implementation Figure 4 The described device can also change the scene mode in time when the user's living conditions change, or adjust the scene mode data in time when the user's body parameters are abnormal due to the current scene mode being uncomfortable, thereby improving the flexibility and intelligence of controlling smart devices based on scene modes, thereby providing users with a more comfortable living environment and improving the user experience of wearable devices.

[0282] Example 4

[0283] See also Figure 5 , Figure 5 FIG. 1 is a structural diagram of another scene mode adaptation control device disclosed in an embodiment of the present invention. Figure 5 As shown, the adaptation control device of the scene mode may include:

[0284] A memory 401 storing executable program code;

[0285] a processor 402 coupled to the memory 401;

[0286] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the scene mode adaptation control method described in the first embodiment or the second embodiment of the present invention.

[0287] Example 5

[0288] An embodiment of the present invention discloses a computer storage medium storing computer instructions. When the computer instructions are called, they are used to execute the steps of the scene mode adaptation control method described in the first embodiment or the second embodiment of the present invention.

[0289] Example 6

[0290] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the steps of the scene mode adaptation control method described in embodiment 1 or embodiment 2.

[0291] Example 7

[0292] Embodiments of the present invention disclose a wearable device that can be used to perform the steps of the scene mode adaptation control method described in Embodiment 1 or Embodiment 2 of the present invention. Alternatively, the wearable device can include any of the scene mode adaptation control devices described in Embodiment 3 or Embodiment 4. Optionally, the wearable device can be a smart shoe, and further optionally, the smart shoe can be a smart slipper.

[0293] The device embodiments described above are merely illustrative, wherein the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, i.e., they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Those skilled in the art can understand and implement the present invention without inventive effort.

[0294] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus the necessary general hardware platform, or of course, by means of hardware. Based on this understanding, the above technical solution, in essence, or the portion that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0295] Finally, it should be noted that the scene mode adaptation control method and device disclosed in the embodiments of the present invention only disclose preferred embodiments of the present invention, which are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A scene mode adaptation control method, characterized in that: The method comprises: Based on a wearable device of a target user, collecting current physical parameters of the target user; wherein the wearable device includes smart shoes; Analyze the current physical parameters of the target user to obtain the current living status of the target user; Determining a scenario mode suitable for the target user based on the life status; Determining at least one smart device to be controlled in a target area corresponding to the target user based on the determined scene mode adapted for the target user; Based on the determined scene mode, controlling each of the smart devices to perform a matching operation; After the target user's wearable device collects the target user's current physical parameters and before analyzing the target user's current physical parameters to obtain the target user's current living status, the method further includes: determining a body posture of the target user based on contact surface parameters of the smart shoe and the target user's foot collected by the smart shoe, wherein the contact surface parameters include contact surface shape, contact surface pressure, and contact surface area; determining, based on the body posture, whether there is a support for the target user's body; When the support object does not exist, calculating a weight parameter of the target user according to the contact surface pressure, and determining a user identity of the target user according to the weight parameter; When the support object exists, determining whether there is a user identity matching the body parameters, the contact surface area, and the contact surface shape in a database corresponding to the smart shoe; and if the user identity exists in the database, determining the user identity as the user identity of the target user; Acquire the target user's living habit records from the database corresponding to the smart shoes according to the user identity; Furthermore, analyzing the current physical parameters of the target user to obtain the current living status of the target user includes: Analyzing the living habit records and the physical parameters to obtain the current living status of the target user; The determining of a scene mode adapted for the target user according to the living status includes: Determining a scenario mode adapted for the target user based on the user identity and the life status; The step of determining the scene mode adapted for the target user based on the user identity and the living status includes: Detecting whether there is a scene pattern in the database that matches the user identity and the life status of the target user; When the detection result is yes, determining the certain scene mode as the scene mode adapted for the target user; When the detection result is no, detecting whether there exists in the database a parameter value range of a first comfort environment parameter matching the user identity and a parameter value range of a second comfort environment parameter matching the living status, wherein the parameter type of the first comfort environment parameter is consistent with the parameter type of the second comfort environment parameter; When detecting that the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter exist in the database, determining whether the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter have an intersection; When the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter have the intersection, calculating a first average value of the parameter values ​​corresponding to two endpoints of the intersection, and generating a scene mode that matches both the user identity and the life status based on the first average value; When there is no intersection between the parameter value range of the first comfort environment parameter and the parameter value range of the second comfort environment parameter, the endpoint of the two endpoints of the parameter value range of the first comfort environment parameter close to the parameter value range of the second comfort environment parameter is determined as the first endpoint, and the endpoint of the two endpoints of the parameter value range of the second comfort environment parameter close to the parameter value range of the first comfort environment parameter is determined as the second endpoint, and the second average value of the parameter value corresponding to the first endpoint and the parameter value corresponding to the second endpoint is calculated, and based on the first average value, a scene mode that matches both the user identity and the life status is generated.

2. The scene mode adaptation control method according to claim 1, characterized in that: Before collecting the current physical parameters of the target user based on the wearable device of the target user, the method further includes: Detecting whether the smart shoes are in a wearing state; When the detection result is yes, triggering the execution of the operation of collecting the current physical parameters of the target user based on the wearable device of the target user; When the detection result is no, detecting whether the smart shoe receives a wireless short-range signal sent by a portable device of the target user; When detecting that the smart shoe receives the wireless short-range signal, acquiring the current target body parameters of the target user collected by the portable device based on the wireless short-range signal; determining, based on the target body parameters, whether the target user has a need to use the smart shoes; When the judgment result is yes, determining a moving path corresponding to the smart shoe based on the position of the smart shoe and the corresponding position of the portable device; The smart shoes are controlled to move to a position corresponding to the portable device according to the moving path.

3. The scene mode adaptation control method according to claim 1 or 2, characterized in that: After obtaining the target user's living habit record from the database corresponding to the smart shoes, the method further includes: Based on the living habit record, predict the remaining duration of the target user in the living state, the next living state of the target user after the end of the living state, and the next target area corresponding to the target user after the end of the living state; Determining a next scenario mode adapted for the target user according to the user identity and the next life status; Based on the determined next scene mode, determining at least one target smart device in the next target area that needs to be controlled in advance and an advance control duration corresponding to each target smart device; For each target smart device, determine whether the remaining duration is less than the advance control duration corresponding to the target smart device. When the determination result is yes, control the target smart device to perform a matching advance control operation based on the next scene mode.

4. The scene mode adaptation control method according to claim 3, characterized in that: The number of target users is greater than 1; Before determining at least one smart device to be controlled in a target area corresponding to the target user based on the determined scene mode adapted for the target user, the method further includes: Determining whether the scene modes adapted by all the target users are the same scene mode; When the judgment result is no, determining all user categories included in all the target users and the number of users corresponding to each user category, and determining the scene mode types included in the scene modes adapted by all the target users and the number of users corresponding to each scene mode type; Determining a first weight corresponding to each user category according to the number of users corresponding to each user category, and determining a second weight corresponding to each scene mode type according to the number of users corresponding to each scene mode; Calculating a comprehensive weight corresponding to each target user based on the first weight corresponding to each target user and the second weight corresponding to each target user; Calculating the total duration corresponding to all the scene modes according to the predetermined duration corresponding to each scene mode, where the duration corresponding to each scene mode is the duration required to start and end the scene mode; Calculate the turn duration corresponding to each target user according to the total duration and the comprehensive weight corresponding to each target user; Furthermore, determining at least one smart device to be controlled in a target area corresponding to the target user based on the determined scene mode adapted for the target user includes: Based on the determined scene mode adapted for each target user and the turn duration corresponding to the target user, at least one smart device to be controlled in the target area corresponding to the target user is determined.

5. The scene mode adaptation control method according to claim 4, characterized in that: The method further comprises: In the process of controlling each of the smart devices, monitoring the body parameter change curve of the target user collected by the wearable device; Determining whether the body parameter change curve has an abnormal change trend; When the judgment result is yes, judging whether the target user's living status has changed according to the body parameter change curve; When the judgment result is yes, re-performing the operation of analyzing the current physical parameters of the target user to obtain the current living status of the target user; When the judgment result is no, correcting the scene data corresponding to the scene mode according to the abnormal change trend to obtain corrected scene data corresponding to the scene mode; determining at least one smart device to be modified in the target area according to the scene data corresponding to the scene mode before modification and the scene data corresponding to the scene mode after modification; Based on the scene data corresponding to the revised scene mode, each of the smart devices to be revised is controlled to perform a matching operation.

6. A scene mode adaptation control device, characterized in that: The device is used to execute the scene mode adaptation control method according to any one of claims 1 to 5, and the device includes: A collection module, configured to collect the current physical parameters of the target user based on the wearable device of the target user; An analysis module, configured to analyze the current physical parameters of the target user to obtain the current living status of the target user; a determination module, configured to determine a scene mode adapted for the target user according to the life status, and determine at least one smart device to be controlled in a target area corresponding to the target user based on the determined scene mode adapted for the target user; The control module is used to control each of the smart devices to perform a matching operation based on the determined scene mode.

7. A wearable device, configured to execute the scene mode adaptation control method according to any one of claims 1 to 5.

8. A scene mode adaptation control device, characterized in that: The device comprises: a memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the scene mode adaptation control method according to any one of claims 1 to 5.

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