CN113985741A

CN113985741A - Method and device for controlling equipment operation, storage medium and electronic device

Info

Publication number: CN113985741A
Application number: CN202111117665.7A
Authority: CN
Inventors: 张文强
Original assignee: Qingdao Haier Technology Co Ltd; Haier Smart Home Co Ltd
Current assignee: Qingdao Haier Technology Co Ltd; Haier Smart Home Co Ltd
Priority date: 2021-09-23
Filing date: 2021-09-23
Publication date: 2022-01-28

Abstract

The application discloses a method and a device for controlling equipment operation, a storage medium and an electronic device, wherein the method comprises the following steps: acquiring target object data of a use object of the intelligent device, wherein the target object data comprises: health state data indicating a current health state of the usage object, behavior state data indicating a current behavior performed by the usage object; obtaining historical use data corresponding to the use object, wherein the historical use data is used for indicating target use habits of the use object on the intelligent equipment; determining a target operation state parameter of the intelligent equipment according to the target object data and the historical use data; and controlling the running state of the intelligent equipment according to the target running state parameter. By the method and the device, the problem that the applicability of the operation control of the equipment is poor due to the fact that the set operation mode is single in the control mode of the operation of the equipment in the related technology is solved.

Description

Method and device for controlling equipment operation, storage medium and electronic device

Technical Field

The application relates to the field of smart home, in particular to a method and a device for controlling equipment operation, a storage medium and an electronic device.

Background

At present, in order to avoid the need of repeated setting when a user turns on an intelligent device (for example, an intelligent air conditioner) each time, the use habit of the user can be learned through big data, and an operation mode with the highest use frequency is recommended for the user. Taking an air conditioner as an example, a user is used to use an operation mode of wind speed and 25 ℃, and the intelligent air conditioner based on the internet of things can actively adjust the wind speed to be at the medium wind speed and 25 ℃ after being started each time.

However, for the above-mentioned control method for the operation of the device, since the smart device is automatically set to the operation mode with the highest frequency of use by the user every time the smart device is turned on, the set operation mode is not necessarily applicable to all users using the same smart device and all use requirements. If the settings are not appropriate, the user is still required to manually set the operating mode.

Therefore, the control mode of the equipment operation in the related art has the problem of poor applicability of the equipment operation control caused by single set operation mode.

Disclosure of Invention

The embodiment of the application provides a method and a device for controlling the operation of equipment, a storage medium and an electronic device, which are used for at least solving the problem that the applicability of the operation control of the equipment is poor due to the single set operation mode in the control mode of the operation of the equipment in the related technology.

According to an aspect of an embodiment of the present application, there is provided a method for controlling an operation of a device, including: acquiring target object data of a use object of the intelligent device, wherein the target object data comprises: health state data indicating a current health state of the usage object, behavior state data indicating a current behavior performed by the usage object; obtaining historical use data corresponding to the use object, wherein the historical use data is used for indicating target use habits of the use object on the intelligent equipment; determining a target operation state parameter of the intelligent equipment according to the target object data and the historical use data; and controlling the running state of the intelligent equipment according to the target running state parameter.

In an exemplary embodiment, before the obtaining of the historical usage data corresponding to the usage object, the method further comprises: and receiving voice control data sent by the intelligent equipment by the using object, and carrying out voiceprint recognition on the voice control data to determine the identity information of the using object, wherein the historical using data is matched according to the identity information of the using object.

In an exemplary embodiment, the acquiring target object data of the usage object of the smart device includes: acquiring pre-entered first authentication data matched with the use object; acquiring second body characteristic data of the use object detected by a detection device associated with the intelligent device, wherein the second body characteristic data is used for representing the health state of the use object; wherein the health status data comprises the first and/or second characteristics data.

In one exemplary embodiment, acquiring target object data of a usage object of a smart device includes: determining the current area where the using object is located and the operating state of first associated equipment located in the current area; predicting the current behavior of the using object based on the current region and the running state of the first associated equipment to obtain the behavior state data.

In an exemplary embodiment, the predicting the current behavior of the usage object based on the current region and the operation state of the first associated device, and obtaining the behavior state data includes: and matching the running states of the current area and the first associated equipment with behavior mapping information to obtain the behavior state data, wherein the behavior mapping information is used for indicating the corresponding relation between the running states of the associated equipment in different indoor areas and predicted behaviors.

In an exemplary embodiment, the determining the target operating state parameter of the smart device according to the target object data and the historical usage data includes: searching mode configuration information according to a target searching sequence, and determining a target operation mode of the intelligent device, wherein the target searching sequence is a searching sequence of the current health state indicated by the health state data, the current behavior indicated by the behavior state data and the target use habit indicated by the historical use data, the mode configuration information is used for indicating a corresponding relation between the health state, the behavior state and the use habit and the operation mode of the intelligent device, and the target operation state parameter is an operation state parameter of the intelligent device in the target operation mode.

In an exemplary embodiment, the searching for the mode configuration information according to the target search order, and determining the target operation mode of the intelligent device includes: determining an operation mode which is indicated by the mode configuration information and is matched with the target use habit as the target operation mode under the condition that the health state data and the behavior state data are not acquired; when the health state data is acquired but the behavior state data is not acquired, determining a health mode indicated by the mode configuration information as the target operation mode when the current health state is not good enough, and determining an operation mode indicated by the mode configuration information and matched with the target use habit as the target operation mode when the current health state is healthy; determining an operation mode which is indicated by the mode configuration information and is matched with the current behavior when the health state is healthy as the target operation mode under the condition that the health state data is not acquired but the behavior state data is acquired; and under the condition that the health state data and the behavior state data are acquired, determining the running mode which is indicated by the mode configuration information and is matched with the current health state and the current behavior as the target running mode.

In an exemplary embodiment, after the obtaining target object data of the usage object of the smart device, the method further includes: under the condition that the behavior state data is obtained, determining second associated equipment associated with the current behavior indicated by the behavior state data; and controlling the second associated equipment to execute equipment operation matched with the current behavior.

According to another aspect of the embodiments of the present application, there is also provided an apparatus for controlling an operation of a device, including: a first acquisition unit configured to acquire target object data of a usage object of a smart device, wherein the target object data includes: health state data indicating a current health state of the usage object, behavior state data indicating a current behavior performed by the usage object; a second obtaining unit, configured to obtain historical usage data corresponding to the usage object, where the historical usage data is used to indicate a target usage habit of the usage object on the smart device; the first determining unit is used for determining a target operation state parameter of the intelligent equipment according to the target object data and the historical use data; and the first control unit is used for controlling the running state of the intelligent equipment according to the target running state parameter.

In one exemplary embodiment, the apparatus further comprises: the receiving unit is used for receiving voice control data sent by the using object to the intelligent equipment before the historical using data corresponding to the using object is obtained; and the recognition unit is used for carrying out voiceprint recognition on the voice control data so as to determine the identity information of the using object, wherein the historical using data is matched according to the identity information of the using object.

In one exemplary embodiment, the first acquisition unit includes: the first acquisition module is used for acquiring pre-entered first characterization data matched with the use object; a second obtaining module, configured to obtain second body characteristic data of the usage object detected by a detection device associated with the smart device, where the second body characteristic data is used to represent a health status of the usage object; wherein the health status data comprises the first and/or second characteristics data.

In one exemplary embodiment, the first acquisition unit includes: the first determination module is used for determining the current area where the using object is located and the running state of first associated equipment located in the current area; and the prediction module is used for predicting the current behavior of the using object based on the current region and the running state of the first associated equipment to obtain the behavior state data.

In one exemplary embodiment, the prediction module comprises: and the matching submodule is used for matching the running states of the current area and the first associated equipment with behavior mapping information to obtain the behavior state data, wherein the behavior mapping information is used for indicating the corresponding relation between the running states of the associated equipment in different indoor areas and predicted behaviors.

In one exemplary embodiment, the first determination unit includes: the searching module is configured to search mode configuration information according to a target searching sequence and determine a target operation mode of the intelligent device, where the target searching sequence is a searching sequence of the current health state indicated by the health state data, the current behavior indicated by the behavior state data, and the target usage habit indicated by the historical usage data, the mode configuration information is used to indicate a correspondence between the health state, the behavior state, and the usage habit and the operation mode of the intelligent device, and the target operation state parameter is an operation state parameter of the intelligent device in the target operation mode.

In one exemplary embodiment, the lookup module includes: a first determining sub-module, configured to determine, as the target operation mode, an operation mode that is indicated by the mode configuration information and matches the target usage habit, when the health status data and the behavior status data are not acquired; a second determining sub-module, configured to determine, when the health state data is acquired but the behavior state data is not acquired, a health mode indicated by the mode configuration information as the target operation mode when the current health state is a poor health state, and determine, when the current health state is a healthy state, an operation mode indicated by the mode configuration information and matched with the target usage habit as the target operation mode; a third determining sub-module, configured to determine, as the target operation mode, an operation mode that is indicated by the mode configuration information and that matches the current behavior when the health state is healthy, when the health state data is not acquired but the behavior state data is acquired; and a fourth determining sub-module, configured to determine, when the health state data and the behavior state data are acquired, an operation mode that is indicated by the mode configuration information and matches the current health state and the current behavior as the target operation mode.

In one exemplary embodiment, the apparatus further comprises: a second determining unit, configured to determine, after the target object data of the usage object of the smart device is obtained, a second associated device associated with the current behavior indicated by the behavior state data when the behavior state data is obtained; and the second control module is used for controlling the second associated equipment to execute the equipment operation matched with the current behavior.

According to another aspect of the embodiments of the present application, there is also provided a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the control method of the above device when running.

According to another aspect of the embodiments of the present application, there is also provided an electronic apparatus, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes a control method of the apparatus by using the computer program.

In the embodiment of the present application, a method of controlling an operation state of a device according to a health state of a target object, a current behavior, and a usage habit of the device is adopted, and target object data of a usage object of an intelligent device is obtained, where the target object data includes: health state data indicating a current health state of the subject of use, behavior state data indicating a current behavior performed by the subject of use; acquiring historical use data corresponding to the use object, wherein the historical use data is used for indicating the target use habit of the use object on the intelligent device; determining target operation state parameters of the intelligent equipment according to the target object data and the historical use data; the operating state of the intelligent equipment is controlled according to the target operating state parameters, and the operating state of the intelligent equipment is controlled by combining the health state of the using object of the equipment, the current behavior and the using habit of the using object to the equipment, so that the purpose of intelligently controlling the operating state of the intelligent equipment can be realized, the technical effects of improving the applicability of the operating control of the intelligent equipment and the using experience of a user are achieved, and the problem of poor applicability of the operating control of the equipment caused by the single set operating mode in the control mode of the operating of the equipment in the related technology is solved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.

FIG. 1 is a schematic diagram of a hardware environment for an alternative method of controlling the operation of a device according to an embodiment of the present application;

FIG. 2 is a schematic flow chart diagram illustrating an alternative method of controlling operation of a device according to an embodiment of the present application;

FIG. 3 is a schematic diagram of an alternative method of controlling operation of a device according to an embodiment of the present application;

FIG. 4 is a schematic flow chart diagram illustrating an alternative method of controlling operation of an apparatus according to an embodiment of the present application;

FIG. 5 is a block diagram of an alternative apparatus operation control arrangement according to an embodiment of the present application;

fig. 6 is a block diagram of an alternative electronic device according to an embodiment of the present application.

Detailed Description

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

According to one aspect of an embodiment of the present application, a method for controlling operation of a device is provided. Alternatively, in this embodiment, the control method of the device operation may be applied to a hardware environment formed by the smart device 102 and the server 104 as shown in fig. 1. As shown in fig. 1, the server 104 is connected to the smart device 102 via a network, and may be configured to provide services (e.g., application services, etc.) for the smart device or a client installed on the smart device, and may be configured with a database on the server or independent of the server, and configured to provide data storage services for the server 104.

The network may include, but is not limited to, at least one of: wired networks, wireless networks. The wired network may include, but is not limited to, at least one of: wide area networks, metropolitan area networks, local area networks, which may include, but are not limited to, at least one of the following: WIFI (Wireless Fidelity), bluetooth. The smart device 102 may be, but is not limited to, a smart air conditioner, a smart television, a smart refrigerator, a smart fan, and the like.

The method for controlling the operation of the device according to the embodiment of the present application may be executed by the server 104, or may be executed by the smart device 102, or may be executed by both the server 104 and the smart device 102. The method for controlling the smart device 102 to execute the device operation according to the embodiment of the present application may also be executed by a client installed thereon.

Taking the method for controlling the device operation in the present embodiment executed by the server 104 as an example, fig. 2 is a schematic flowchart of an optional method for controlling the device operation according to the embodiment of the present application, and as shown in fig. 2, the method may include the following steps:

step S202, target object data of a use object of the intelligent device is obtained, wherein the target object data comprises: health state data indicating a current health state of the subject of use, behavior state data indicating a current behavior performed by the subject of use.

The control method for device operation in this embodiment may be applied to a scene in which an intelligent device is controlled. The intelligent device can be an electronic device provided with an intelligent chip, such as an intelligent air conditioner, an intelligent television, an intelligent refrigerator, an intelligent fan and the like, and the intelligent air conditioner is taken as an example in the embodiment of the application for explanation.

In the related technology, the use habit of a user can be learned through big data in the working process of the intelligent air conditioner, and the operation mode with the highest use frequency is recommended for the user. For example, a user is used to use an operation mode of wind speed and 25 ℃, the intelligent air conditioner based on the internet of things can actively adjust the wind speed to the medium wind speed and 25 ℃ after being started every time, but the mode adopts the same mode for each user and does not change from person to person.

In this embodiment, the operation mode of the smart device may be set based on the object data of the usage object of the smart device and the historical usage data of the usage object, so that "different from person to person" may be achieved, and the operation mode of the smart device may be set according to the situation of the user. The usage object may be an object that can be recognized by the smart device, and may be an object that matches an entered object, such as a long-term resident in a house, or a new object that does not match any entered object, such as a guest that visits home infrequently. In the present embodiment, the age, sex, and the like of the subject are not limited, and may be children, young adults, and the elderly.

The intelligent equipment can be intelligent home equipment in an intelligent home operation system, and on the basis of having the functions of traditional home equipment, the intelligent home equipment is additionally provided with a computing module, a network interface, an input/output device and the like, so that the intelligent home equipment has the functions of intelligent monitoring and control. Taking an intelligent air conditioner as an example, the intelligent air conditioner can realize automatic temperature adjustment, indoor CO2 detection, PM2.5 detection and the like.

The intelligent household equipment can be accessed into the intelligent household operating system in modes of scanning graphic codes and the like. For a user of the smart home device, the user may control the smart home device to access the smart home operating system by operating the control device (for example, scanning a two-dimensional code corresponding to the smart home device). With the application and popularization of the internet of things technology, a mobile phone can realize operation control of smart home equipment applying the internet of things technology, and the mobile phone becomes a main operation control terminal for family life and realizes control input and data output.

The smart home device accessed to the smart home operating system may upload data (e.g., device information) of the smart home device to a server of the smart home operating system through an internet of things, and the server of the smart home operating system analyzes and processes the data. The user can check the information of the accessed intelligent home equipment through a target Application (APP) on the control equipment, and illustratively, the mobile phone mobile terminal can log in a server of an intelligent home operating system through a wireless network to acquire and check the data of the intelligent home equipment.

For example, for an intelligent air conditioner, in a target application of an intelligent home operating system, a user may set a setting on an air conditioner detail interface, and may select recommendation according to user habits, recommendation according to weather, automatic recommendation according to AI (Artificial Intelligence), or turn off a recommendation function. After the AI automatic recommendation function is turned on, an operation mode of the smart device may be set based on object data of a usage object of the smart device and historical usage data of the usage object. Optionally, the AI automatic recommendation function may also be directly turned on for the user.

When the smart device is used, in order to determine the current operating parameter, a server (which may be a server of a smart home operating system) may first obtain target object data of a use object of the smart device. The target object data may be used to characterize the object state of the usage object, and may include, but is not limited to, at least one of: health state data indicating a current health state of the subject of use, behavior state data indicating a current behavior performed by the subject of use.

The health status data and the behavior status data may be input by the user, or may be obtained by analyzing the health status and the executed behavior of the user based on data acquired from other devices associated with the smart device, which is not limited in this embodiment.

Step S204, obtaining historical use data corresponding to the use object, wherein the historical use data is used for indicating the target use habit of the use object on the intelligent device.

Due to differences in age, physiology, and the like, the requirements of different users for operating parameters of the smart device may be different. In order to improve the reasonability of setting the operating parameters of the intelligent equipment, the server can also set the operating parameters of the intelligent equipment by referring to the historical use data of the use object. The server can identify the using object based on the acquired biological characteristics of the using object, obtain the identity information of the using object, and match the historical using data of the using object based on the identity information of the using object, wherein the historical using data is used for indicating the using habit of the using object to the intelligent device, namely the target using habit.

Optionally, the biometric information may include one or more of the following, but may not be limited to: voice print features, facial features, fingerprint features, and the like. The historical usage data may be a historical usage record of the usage object using the smart device, or may be usage habit data of the usage object on the smart device determined based on the historical usage record, which is not limited in this embodiment.

And step S206, determining target operation state parameters of the intelligent equipment according to the target object data and the historical use data.

After acquiring the target object data and the historical usage data, the server may determine an operation mode of the smart device, that is, an operation state parameter (target operation state parameter) of the smart device, which may be used to control an operation state of the smart device, according to the target object data and the historical usage data.

Different weights may be applied to the target object data and the historical usage data for different situations to generate the target operating condition parameters. For example, the target object data and the historical usage data may be weighted the same, the target object data may be weighted higher than the historical usage data (in this case, the target object data is preferentially considered to determine the operating state parameter of the smart device), and the target object data may be weighted lower than the historical usage data (in this case, the historical usage data is preferentially considered to determine the operating state parameter of the smart device), which is not limited in this embodiment.

For example, the probability values of different operating state parameters may be determined according to the target object data (health state data and/or behavior state data) and the historical usage data, and then the probability values of the different operating state parameters are weighted and summed according to the weights, and the operating state parameter with the largest value in the summation result is determined as the target operating state parameter.

The operating state parameters of the intelligent device correspond to the operating modes of the intelligent device, and different operating state parameters may correspond to different operating modes. The operating condition parameters may include one or more, for example, but not limited to, at least one of: temperature, wind speed, noise.

And S208, controlling the running state of the intelligent equipment according to the target running state parameter.

After the target operation state parameters are determined, the server can adjust the operation mode of the intelligent device according to the generated target operation state parameters. For example, the operation state of the air conditioner may be adjusted according to a recommended temperature, a wind speed gear, and the like.

Through the steps, target object data of a use object of the intelligent device are obtained, wherein the target object data comprise: health state data indicating a current health state of the subject of use, behavior state data indicating a current behavior performed by the subject of use; acquiring historical use data corresponding to the use object, wherein the historical use data is used for indicating the target use habit of the use object on the intelligent device; determining target operation state parameters of the intelligent equipment according to the target object data and the historical use data; the operation state of the intelligent equipment is controlled according to the target operation state parameters, the problem that the applicability of equipment operation control is poor due to the fact that the set operation mode is single in the control mode of equipment operation in the related technology is solved, and the applicability of the intelligent equipment operation control is improved. The use experience of the user is improved.

In an exemplary embodiment, before obtaining the historical usage data corresponding to the usage object, the method further comprises:

and S11, receiving voice control data sent by the intelligent device by the using object, and carrying out voiceprint recognition on the voice control data to determine the identity information of the using object, wherein the historical using data is matched according to the identity information of the using object.

Often, a user's family has multiple members, which are habitually different from member to member. The user habits obtained by simply recording the operating parameters of the intelligent equipment are actually a union of the use habits of a plurality of members. The operation mode recommended based on the data is not fit with the use habit of a certain member, but is combined with the use habit of a plurality of members to obtain an integrated result. Therefore, the recommended operation mode is not suitable for the current usage object.

Alternatively, the identity information of the user object may be identified by formulating a policy, and then the usage habit of the user object may be analyzed according to the identity information of the user object. Based on the mode, personalized recommendation of different users can be realized in the same family. Each person's voiceprint is unique and can be identified based on the voiceprint of the subject. Alternatively, the identity of the user may be identified by other biometric data or other identification information. In consideration of the fact that the voice data of the using object can be obtained when the machine is started under the control of the voice command, the voice print recognition method has higher convenience compared with other recognition methods.

When the intelligent device is used by the using object, the intelligent device can be controlled to be powered on (for example, the air conditioner is called by voice) or other operations can be executed through voice instructions. The intelligent device can acquire the voice control data sent by the intelligent device by the object and send the acquired voice control data to the server through the communication connection with the server. The server can receive the voice control data sent by the intelligent device.

In order to identify the identity of the user object, the server may perform voiceprint recognition on the voice control data and extract a voiceprint feature corresponding to the user object from the voice control data. The server may store a voiceprint feature of at least one reference object, and the voiceprint feature of one reference object may be a voiceprint feature of one object which is previously recorded in the server.

For example, a user can conveniently connect and log in the smart home operating system through the target application, and enter the voiceprint of the reference object in the voiceprint management interface of the target application. The server can receive voiceprint data of the reference object uploaded by the target application and recorded through the voiceprint management interface of the target application, and therefore the received voiceprint characteristics of the reference object are stored.

The voiceprint is a sound wave spectrum carrying speech information, is a biological feature with multiple characteristic dimensions such as wavelength, frequency and intensity, and has the characteristics of stability, measurability, uniqueness and the like. Compared with an image, the method has the advantages of high identification accuracy by utilizing the voiceprint to identify the identity of the user, and low cost because the voiceprint data of the user can be collected by only one microphone. In addition, the acquired privacy of the user is less, and the user can accept the privacy more easily.

Because the voiceprint characteristics of each person are different, the voiceprint characteristics of the using object can be compared with the voiceprint characteristics of the reference object stored in advance, so that the identity of the current using object can be identified, and the identity information of the using object, such as dad and mom of family members, can be obtained, and the historical using data is matched according to the identity information of the using object. When the voiceprint feature of the reference object corresponding to the object cannot be found by using the voiceprint feature of the object, it can be marked as a guest or a stranger.

For example, when the user performs voice interaction with the device, the server may determine who the interaction object is by comparing the recorded voiceprints, and if the user is a new user, the user may be automatically added as the temporary user a.

Through this embodiment, use the voiceprint characteristic to carry out the identification of use object, can reach the effect of accurate discernment when protecting user privacy.

In one exemplary embodiment, acquiring target object data of a usage object of a smart device includes:

s21, acquiring pre-entered first token data matched with the use object;

s22, acquiring second body characteristic data of the using object detected by the detecting device associated with the intelligent device, wherein the second body characteristic data is used for representing the health state of the using object;

wherein the health status data comprises the first and/or second modality data.

The vital sign data of the subject may include pre-entered vital sign data of the subject, and the server may acquire the pre-entered vital sign data matched with the subject, i.e., the first vital sign data. The server can determine the identity information of the using object through voiceprint matching or other ways (for example, facial feature matching), and obtain pre-entered physical sign data of the using object based on the determined identity information.

For example, a server of the smart home operating system may record and store family member information and voiceprint information corresponding to the family member information, which are input through a target application on the control device. The family member information may include, but is not limited to, information of at least one of: name, age, family identity (dad, mom, etc.), health status. Based on the voiceprint of the current user, the server can determine the family member matched with the current user, so that the pre-entered sign data of the family member can be obtained.

The pre-recorded physical sign data has certain limitation, so that the current health state of the used subject cannot be well reflected. For example, when the health state information entered by the user in the previous day is healthy, but fever occurs suddenly in the next day, and if the entered physical sign data is not updated in time, the recommendation of the intelligent air conditioner operation mode can still be performed according to the entered health state. In order to improve the accuracy of the health status determination, the vital sign data of the subject of use may comprise vital sign data of the subject of use, i.e. second vital sign data, detected by the detection device.

For example, data such as body temperature and skin condition of the user can be detected by an intelligent product such as an intelligent mirror, and health data (an example of second body characteristic data) of the user can be obtained by combining big data analysis.

The object data of the usage object may include at least one of first volume characteristics data and second volume characteristics data. When the first body sign data and the second body sign data are acquired, the two body sign data can be fused. In the case of the vital sign data fusion, the weights used for the first and second vital sign data may be the same or different, and for example, the weight of the first vital sign data may be higher than that of the second vital sign data, or the weight of the second vital sign data may be higher than that of the first vital sign data.

Through the embodiment, the sign data of the user are acquired through modes of pre-inputting or equipment detection and the like, so that the running mode recommendation can be performed based on the sign data, and the rationality of the running mode recommendation of the intelligent equipment can be improved.

s31, determining the current area where the object is used and the operation state of the first associated equipment in the current area;

and S32, predicting the current behavior of the object to be used based on the current region and the running state of the first associated equipment to obtain behavior state data.

When different behaviors are performed, the requirements of the user on the operation mode of the intelligent device are different. For example, when a user looks at a movie or moves, the requirements of the user for the operation mode of the intelligent air conditioner are different. Thus, the operation mode of the smart device can be set with reference to the behavior currently performed using the object.

In order to determine the current behavior of the object, the image to be processed including the object may be acquired by an image acquisition method, and the image to be processed may be analyzed to determine the current behavior of the object.

The intelligent home devices are common, the intelligent running machine, the intelligent lamp, the intelligent curtain, the intelligent sound box and the like, the device states of different devices in different indoor areas of a family can reflect behaviors executed by a user, and the operation states of the intelligent devices can be better set by referring to the behaviors.

The server may first determine a current area (i.e., a current indoor area) where the usage object is located, for example, the current area may be determined as an indoor area where the smart device is located, or the current area may be determined as an indoor area where a collection device (which may be the smart device or another smart device) that collects control data (e.g., voice control data) of the usage object is located. Then, the server may further determine an operation state of the first associated device located in the current area, and predict a current behavior of the usage object based on the current area and the operation state of the first associated device, to obtain behavior state data.

The first associated device may be a device in the smart home operating system, and may include but is not limited to at least one of the following: intelligence sleep appearance, intelligent treadmill, intelligent lamps and lanterns, intelligent (window) curtain, intelligent audio amplifier. The current region may include, but is not limited to, at least one of: bedroom area, kitchen area, living room area, study area.

For example, the server may predict a plurality of behaviors that the usage object may perform based on a current region in which the usage object is located, and determine a behavior that the usage object is most likely to perform from the plurality of behaviors with reference to an operation state of the first device, to obtain the behavior state data.

By the embodiment, the behavior executed by the object is predicted by combining the current area where the object is located and the running state of the associated equipment in the current area, so that the accuracy of behavior prediction can be improved.

In an exemplary embodiment, predicting a current behavior of the object based on the current region and the operating state of the first associated device, and obtaining behavior state data includes:

and S41, matching the operation states of the current area and the first associated equipment with behavior mapping information to obtain behavior state data, wherein the behavior mapping information is used for indicating the corresponding relation between the operation states of the associated equipment in different indoor areas and the predicted behaviors.

The server may pre-configure behavior mapping information, where the behavior mapping information may be configured based on experience, may also be configured based on a device of a user, and may also be configured based on big data analysis, which is not limited in this embodiment. The behavior mapping information may be used to indicate a correspondence between the operating states of the associated devices in the different indoor regions and the predicted behavior, that is, the behavior predicted under the different operating states of the associated devices in each indoor region.

The server may use the current region and the operating state of the first associated device to match with the behavior mapping information to obtain the behavior state data. For example, the behavior state data may be obtained by searching for mapping information matching the current region using the current region, and then determining a predicted behavior matching the operating state of the first associated device from the searched mapping information.

For example, the behavior mapping information may be a mapping relationship table, and an example of the mapping relationship table may be as shown in table 1.

TABLE 1

Space(s)	Device	Status of state	Possible actions of the user
				Parlor	Television receiver	Movie mode	Film watching
Parlor	Television receiver	Music mode	Sports, housework, study, work
				Parlor	Television receiver	Motion pattern	Exercise of sports
Parlor	Sound box	Playing music	Sports, housework, study, work
				Parlor	Running machine	Is opened	Exercise of sports
Kitchen cabinet	Fume exhaust fan	Is opened	Cooking food
				Kitchen cabinet	Baking oven	Is opened	Cooking food
Kitchen cabinet	Integrated kitchen range	Is opened	Cooking food
				Bedroom	Sleeping instrument	Is opened	Sleep
Bedroom	Window curtain	Close off	Sleep

If the current area is a living room, the first associated devices in the living room are a television, a sound box and a treadmill. If the running state of the television is running in the sport mode, the running state of the sound box is off, and the running state of the treadmill is on, the action currently executed by the user can be predicted to be sport, and the action state data is data indicating that the action performed by the user object is sport.

According to the method and the device, the operation states of the current region and the associated equipment and the behavior mapping information are matched to predict the behavior of the object to be used, so that the convenience of behavior prediction can be improved, and the reasonability of intelligent equipment operation mode recommendation is further improved.

In one exemplary embodiment, determining the target operating state parameter of the smart device based on the target object data and the historical usage data comprises:

and S51, searching mode configuration information according to a target searching sequence, and determining a target operation mode of the intelligent device, wherein the target searching sequence is a searching sequence of a current health state indicated by the health state data, a current behavior indicated by the behavior state data and a target use habit indicated by the historical use data, the mode configuration information is used for indicating a corresponding relation between the health state, the behavior state and the use habit and the operation mode of the intelligent device, and the target operation state parameter is an operation state parameter of the intelligent device in the target operation mode.

In this embodiment, the operating state parameters of the smart device may be determined based on the mode configuration information. The mode configuration information may be used to indicate a health status, a behavior status, and a correspondence between usage habits and operating modes of the smart device. The server can use the target object data and the historical use data to search the mode configuration information, so that the target operation mode of the intelligent device is determined, and the operation state parameter corresponding to the target operation mode is the target operation state parameter.

The pattern configuration information may be searched according to a target search sequence, where the target search sequence is a search sequence among a current health state, a current behavior, and a target usage habit, and may be a search sequence of a current health state, a current behavior, and a target usage habit, or may be another search sequence. The target search order and the pattern configuration information may be matched, so that a fast run pattern search may be achieved.

By the embodiment, the mode configuration information is searched according to the preset searching sequence, so that the searching speed of the operation mode can be increased, and the control efficiency of the equipment is further improved.

In an exemplary embodiment, searching the mode configuration information according to the target search sequence, and determining the target operation mode of the intelligent device includes:

s61, under the condition that the health state data and the behavior state data are not acquired, determining the operation mode which is indicated by the mode configuration information and is matched with the target use habit as the target operation mode;

s62, under the condition that the health state data is obtained but the behavior state data is not obtained, when the current health state is not good enough, determining the health mode indicated by the mode configuration information as a target operation mode, and when the current health state is healthy, determining the operation mode indicated by the mode configuration information and matched with the target use habit as the target operation mode;

s63, under the condition that the health state data is not acquired but the behavior state data is acquired, determining the operation mode which is indicated by the mode configuration information and is matched with the current behavior when the health state is healthy as a target operation mode;

s64, when the health status data and the behavior status data are acquired, determines the operation mode matching the current health status and the current behavior indicated by the mode configuration information as the target operation mode.

In this embodiment, since the health status data, the behavior status data, and the usage habit data may not necessarily be acquired, the mode configuration information may be performed based on the acquired data.

If the health state data and the behavior state data are not acquired, the server may determine the operation mode indicated by the mode configuration information and matched with the target use habit as the target operation mode. If the usage habit data is not acquired, the server may determine the default mode indicated by the mode configuration information as the target operation mode.

For example, as shown in fig. 3, if there is no data in both the health status data and the behavior status data, the pattern of the user habit may be directly executed according to the user habit.

If the health state data is acquired but the behavior state data is not acquired, the server can determine the operation mode of the intelligent device according to the health state of the using object. When the current health state is not good enough, the server can determine the health mode indicated by the mode configuration information as a target operation mode; when the current health state is healthy, the server may determine the operation mode indicated by the mode configuration information and matching the target usage habit as the target operation mode.

For example, as shown in fig. 3, if the user is not good enough and does not have the behavior state data, a health mode with a proper ventilation temperature may be determined as the operation mode of the smart air conditioner. If the user is healthy and does not have the behavior state data, the habit mode of the user can be directly executed according to the habit of the user.

If the health state data is not acquired but the behavior state data is acquired, the health state of the use object can be considered as healthy, and the server can determine the operation mode which is indicated by the mode configuration information and is matched with the current behavior when the health state is healthy as the target operation mode.

For example, as shown in fig. 3, if the health status is healthy or no data, the operation mode of the smart air conditioner may be determined according to the behavior performed by the user. If the user is watching the movie, the operation mode of the smart air conditioner may be set according to the reduction of noise, the temperature based on the user's habit, and the low wind speed. If the user is moving, the operation mode of the smart air conditioner may be set according to a suitable temperature, a temperature based on the user's habit, and a high wind speed. If the user is sleeping, the operation mode of the smart air conditioner may be set according to the reduction of noise, the sleep mode, and the low wind speed. If the user is cooking, the operation mode of the intelligent air conditioner can be set according to the enhanced ventilation and fresh air mode.

If the health state data and the behavior state data are acquired, the server may determine the operation mode, which is indicated by the mode configuration information and is matched with the current health state and the current behavior, as the target operation mode.

For example, as shown in fig. 3, if the user is not good enough, the operation mode of the smart air conditioner may be determined according to the behavior performed by the user. If the user is watching the movie, the operation mode of the smart air conditioner may be set according to the ventilation low noise, health mode, and low wind speed. If the user is moving, the operation mode of the intelligent air conditioner can be set according to the appropriate ventilation temperature and based on the fresh air mode. If the user is sleeping, the operation mode of the intelligent air conditioner can be set according to the ventilation low noise, the fresh air mode and the low wind speed. If the user is cooking, the operation mode of the intelligent air conditioner can be set according to the enhanced ventilation and fresh air mode.

Through the embodiment, the setting of the operation mode is carried out based on different behaviors executed by the user under different health states, and the reasonability of the mode setting can be improved.

In an exemplary embodiment, after obtaining target object data of a usage object of the smart device, the method further includes:

s71, under the condition that the behavior state data are obtained, determining second associated equipment associated with the current behavior indicated by the behavior state data;

and S72, controlling the second associated equipment to execute equipment operation matched with the current behavior.

If the behavior state data of the using object is acquired, the server can predict the next behavior of the using object, so that proper resources and equipment control services are recommended for the user. Alternatively, the server may determine a second associated device associated with the current behavior indicated by the behavior state data and control the second associated device to perform a device operation matching the current behavior.

The second associated device may be a device selected according to the location of the object, or a device selected according to another rule, or a device preset by the user. In addition, the second associated device may be a single intelligent device, such as a water heater, or a group of intelligent devices, such as a water heater and a sound box device, which is not limited in this embodiment.

For the determined second associated device, the server may perform device control recommendation according to the current behavior of the usage object, that is, recommend a device operation executed by the second associated device. The recommendation may be to push recommendation information to a control device (e.g., a terminal device) of the usage object, or may be to directly control the second associated device to perform a recommendation operation, that is, to control the second associated device to perform a device operation matching the current behavior. Here, not all behaviors recommend resources and device control services, but some behaviors that are not suitable for resource recommendation or service recommendation may not be recommended.

For example, as shown in fig. 3, when it is predicted that the user is watching a movie, the user may be recommended to turn off lights, turn off curtains, and the like. When it is predicted that the user is exercising, it may be recommended to play the exercise song through a speaker or television. If the user is not good enough, it may also be recommended to remind the user to rest every certain time (e.g., 30 minutes) through a sound box or television. When it is predicted that the user is sleeping (i.e., in a sleep state), it may be recommended to play a sleep song, close a curtain, or the like. When it is predicted that the user is cooking, no further recommendation may be made.

Through the embodiment, the associated intelligent equipment for controlling the behavior executed by the using object executes the corresponding equipment operation, so that the flexibility of equipment control can be improved, and the use experience of a user is improved.

The following explains a control method of the apparatus operation in the embodiment of the present application with reference to an alternative example. In this optional example, the smart device is a smart air conditioner in a smart home operating system.

If the operation mode of the air conditioner is recommended by learning user habits, although the repeated setting of turning on the air conditioner by a single user every time can be avoided, the recommendation does not fully consider the difference between individuals. If the current recorded user habits are based on dad, the recommended operation mode of the air conditioner is obviously not suitable for mom, meanwhile, the behavior of the user is not constant, the user can move at 14 points today and at 15 points tomorrow, and the user intention is judged simply based on the habits in a certain time period every day, which may be different from the actual situation. In addition, the body of the user is not always healthy, and the male user is generally used to a little lower temperature, but the low-temperature refrigeration mode recommended when the user is ill is obviously not suitable.

In order to overcome all or part of the problems existing in the operation mode of the air conditioner recommended by learning user habits, the optional example provides a recommendation scheme of the operation mode of the air conditioner based on user characteristics and user habits.

As shown in fig. 3 and 4, the flow of the control method for the operation of the device in this alternative example may include the following steps:

and S402, receiving the boot record of the user, comparing the boot record with the voiceprint recorded by the user through the terminal through the cloud server, and judging the role of the user.

And S404, comprehensively analyzing the states and working modes of other intelligent devices in the space according to the space where the equipment is located, and judging the ongoing behavior of the user.

Step S406, obtaining user sign data, which is data capable of determining the health status of the user.

Step S408, acquiring the use habits, behavior habits and the like of the user according to the user role.

And S410, comprehensively analyzing the health condition, the current behavior and the habit of the user, and generating proper temperature and wind speed gears so as to obtain the operation mode of the intelligent air conditioner.

And step S412, adjusting the working state of the air conditioner according to the recommended temperature and wind speed gear, and recommending proper resource and equipment control service for the user.

By the optional example, the user starts the intelligent air conditioner, the intelligent air conditioner judges the role of the user, the behavior habit and the health data of the user are referred, and the most appropriate operation mode is recommended for the user by combining the current executed behavior of the user, so that the reasonability of the operation mode setting can be improved.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., a ROM (Read-Only Memory)/RAM (Random Access Memory), a magnetic disk, an optical disk) and includes several instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the methods according to the embodiments of the present application.

According to another aspect of the embodiment of the application, a control device for implementing the operation of the equipment is also provided. Fig. 5 is a block diagram of a control apparatus for controlling an optional device according to an embodiment of the present application, and as shown in fig. 5, the apparatus may include:

a first obtaining unit 502, configured to obtain target object data of a usage object of a smart device, where the target object data includes: health state data indicating a current health state of the subject of use, behavior state data indicating a current behavior performed by the subject of use;

a second obtaining unit 504, connected to the first obtaining unit 502, configured to obtain historical usage data corresponding to the usage object, where the historical usage data is used to indicate a target usage habit of the usage object on the smart device;

the first determining unit 506 is connected to the second obtaining unit 504, and is configured to determine a target operating state parameter of the smart device according to the target object data and the historical usage data;

and the first control unit 508 is connected to the first determining unit 506, and is configured to control the operating state of the smart device according to the target operating state parameter.

It should be noted that the obtaining unit 502 in this embodiment may be configured to execute the step S202, the invoking unit 504 in this embodiment may be configured to execute the step S204, the first determining unit 506 in this embodiment may be configured to execute the step S206, and the first determining unit 508 in this embodiment may be configured to execute the step S208.

Through the modules, target object data of a use object of the intelligent device are obtained, wherein the target object data comprise: health state data indicating a current health state of the subject of use, behavior state data indicating a current behavior performed by the subject of use; acquiring historical use data corresponding to the use object, wherein the historical use data is used for indicating the target use habit of the use object on the intelligent device; determining target operation state parameters of the intelligent equipment according to the target object data and the historical use data; the operation state of the intelligent equipment is controlled according to the target operation state parameters, the problem that the applicability of equipment operation control is poor due to the fact that the set operation mode is single in the control mode of equipment operation in the related technology is solved, and the applicability of the intelligent equipment in operation control is improved.

In an exemplary embodiment, the apparatus further includes:

the receiving unit is used for receiving voice control data sent by the using object to the intelligent equipment before acquiring historical using data corresponding to the using object;

and the recognition unit is used for carrying out voiceprint recognition on the voice control data to determine the identity information of the using object, wherein the historical using data is matched according to the identity information of the using object.

In one exemplary embodiment, the first acquisition unit includes:

the first acquisition module is used for acquiring pre-entered first characterization data matched with the use object;

a second obtaining module, configured to obtain second body characteristic data of the usage object detected by a detection device associated with the smart device, where the second body characteristic data is used to represent a health status of the usage object;

wherein the health status data comprises the first and/or second modality data.

In one exemplary embodiment, the first acquisition unit includes:

the first determination module is used for determining the current area where the using object is located and the running state of first associated equipment located in the current area;

and the prediction module is used for predicting the current behavior of the using object based on the current region and the running state of the first associated equipment to obtain behavior state data.

In one exemplary embodiment, the prediction module comprises:

and the matching submodule is used for matching the running states of the current area and the first associated equipment with the behavior mapping information to obtain behavior state data, wherein the behavior mapping information is used for indicating the corresponding relation between the running states of the associated equipment in different indoor areas and the predicted behaviors.

In one exemplary embodiment, the first determination unit includes:

the searching module is used for searching mode configuration information according to a target searching sequence and determining a target operation mode of the intelligent equipment, wherein the target searching sequence is a searching sequence of a current health state indicated by the health state data, a current behavior indicated by the behavior state data and a target use habit indicated by the historical use data, the mode configuration information is used for indicating a corresponding relation between the health state, the behavior state and the use habit and the operation mode of the intelligent equipment, and the target operation state parameter is an operation state parameter of the intelligent equipment in the target operation mode.

In one exemplary embodiment, the lookup module includes:

the first determining submodule is used for determining the running mode which is indicated by the mode configuration information and matched with the target use habit as the target running mode under the condition that the health state data and the behavior state data are not acquired;

the second determining submodule is used for determining the health mode indicated by the mode configuration information as a target operation mode when the current health state is not good enough and the health state is acquired but the behavior state data is not acquired, and determining the operation mode which is indicated by the mode configuration information and is matched with the target use habit as the target operation mode when the current health state is healthy;

the third determining sub-module is used for determining the running mode which is indicated by the mode configuration information and is matched with the current behavior when the health state is healthy as a target running mode under the condition that the health state data is not obtained but the behavior state data is obtained;

and the fourth determining submodule is used for determining the running mode which is indicated by the mode configuration information and is matched with the current health state and the current behavior as the target running mode under the condition of acquiring the health state data and acquiring the behavior state data.

In an exemplary embodiment, the apparatus further includes:

the second determining unit is used for determining second associated equipment associated with the current behavior indicated by the behavior state data after acquiring target object data of a use object of the intelligent equipment and under the condition of acquiring the behavior state data;

and the second control module is used for controlling the second associated equipment to execute the equipment operation matched with the current behavior.

It should be noted here that the modules described above are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the above embodiments. It should be noted that the modules described above as a part of the apparatus may be operated in a hardware environment as shown in fig. 1, and may be implemented by software, or may be implemented by hardware, where the hardware environment includes a network environment.

According to still another aspect of an embodiment of the present application, there is also provided a storage medium. Optionally, in this embodiment, the storage medium may be configured to execute a program code of a control method executed by any one of the apparatuses in this embodiment of the present application.

Optionally, in this embodiment, the storage medium may be located on at least one of a plurality of network devices in a network shown in the above embodiment.

Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps:

s1, target object data of the use object of the intelligent device are obtained, wherein the target object data comprise: health state data indicating a current health state of the subject of use, behavior state data indicating a current behavior performed by the subject of use;

s2, obtaining historical use data corresponding to the use object, wherein the historical use data is used for indicating the target use habit of the use object on the intelligent device;

s3, determining target operation state parameters of the intelligent equipment according to the target object data and the historical use data;

and S4, controlling the operation state of the intelligent equipment according to the target operation state parameters.

Optionally, the specific example in this embodiment may refer to the example described in the above embodiment, which is not described again in this embodiment.

Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing program codes, such as a U disk, a ROM, a RAM, a removable hard disk, a magnetic disk, or an optical disk.

According to another aspect of the embodiments of the present application, there is also provided an electronic device for implementing the control method for the operation of the above-mentioned apparatus, where the electronic device may be a server, a terminal, or a combination thereof.

Fig. 6 is a block diagram of an alternative electronic device according to an embodiment of the present invention, as shown in fig. 6, including a processor 602, a communication interface 604, a memory 606, and a communication bus 608, where the processor 602, the communication interface 604, and the memory 606 communicate with each other through the communication bus 608, where,

a memory 606 for storing computer programs;

the processor 602, when executing the computer program stored in the memory 706, implements the following steps:

Alternatively, the communication bus may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 6, but this is not intended to represent only one bus or type of bus. The communication interface is used for communication between the electronic device and other equipment.

The memory may include RAM, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory. Alternatively, the memory may be at least one memory device located remotely from the processor.

As an example, the memory 606 may include, but is not limited to, a first obtaining unit 502, a second obtaining unit 504, a first determining unit 506, and a first control unit 508 in the control device for the operation of the apparatus. In addition, the present invention may further include, but is not limited to, other module units in the control device for the operation of the above-mentioned apparatus, which are not described in detail in this example.

The processor may be a general-purpose processor, and may include but is not limited to: a CPU (Central Processing Unit), an NP (Network Processor), and the like; but also a DSP (Digital Signal Processing), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.

Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and this embodiment is not described herein again.

It can be understood by those skilled in the art that the structure shown in fig. 6 is only an illustration, and the device implementing the method for controlling the operation of the device may be a terminal device, and the terminal device may be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 6 is a diagram illustrating a structure of the electronic device. For example, the electronic device may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in FIG. 6, or have a different configuration than shown in FIG. 6.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.

The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, network devices, or the like) to execute all or part of the steps of the method described in the embodiments of the present application.

In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, and may also be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution provided in the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims

1. A method of controlling operation of a plant, comprising:

acquiring target object data of a use object of the intelligent device, wherein the target object data comprises: health state data indicating a current health state of the usage object, behavior state data indicating a current behavior performed by the usage object;

obtaining historical use data corresponding to the use object, wherein the historical use data is used for indicating target use habits of the use object on the intelligent equipment;

determining a target operation state parameter of the intelligent equipment according to the target object data and the historical use data;

and controlling the running state of the intelligent equipment according to the target running state parameter.

2. The method of claim 1, wherein prior to said obtaining historical usage data corresponding to said usage object, said method further comprises:

and receiving voice control data sent by the intelligent equipment by the using object, and carrying out voiceprint recognition on the voice control data to determine the identity information of the using object, wherein the historical using data is matched according to the identity information of the using object.

3. The method of claim 1, wherein obtaining target object data for a usage object of a smart device comprises:

acquiring pre-entered first authentication data matched with the use object;

acquiring second body characteristic data of the use object detected by a detection device associated with the intelligent device, wherein the second body characteristic data is used for representing the health state of the use object;

wherein the health status data comprises the first and/or second characteristics data.

4. The method of claim 1, wherein obtaining target object data for a usage object of a smart device comprises:

determining the current area where the using object is located and the operating state of first associated equipment located in the current area;

predicting the current behavior of the using object based on the current region and the running state of the first associated equipment to obtain the behavior state data.

5. The method of claim 4, wherein the predicting the current behavior of the user object based on the current region and the operation state of the first associated device, and obtaining the behavior state data comprises:

and matching the running states of the current area and the first associated equipment with behavior mapping information to obtain the behavior state data, wherein the behavior mapping information is used for indicating the corresponding relation between the running states of the associated equipment in different indoor areas and predicted behaviors.

6. The method of claim 1, wherein determining the target operating state parameter of the smart device based on the target object data and the historical usage data comprises:

searching mode configuration information according to a target searching sequence, and determining a target operation mode of the intelligent device, wherein the target searching sequence is a searching sequence of the current health state indicated by the health state data, the current behavior indicated by the behavior state data and the target use habit indicated by the historical use data, the mode configuration information is used for indicating a corresponding relation between the health state, the behavior state and the use habit and the operation mode of the intelligent device, and the target operation state parameter is an operation state parameter of the intelligent device in the target operation mode.

7. The method of claim 6, wherein searching for mode configuration information in a target search order and determining the target operating mode of the smart device comprises:

determining an operation mode which is indicated by the mode configuration information and is matched with the target use habit as the target operation mode under the condition that the health state data and the behavior state data are not acquired;

when the health state data is acquired but the behavior state data is not acquired, determining a health mode indicated by the mode configuration information as the target operation mode when the current health state is not good enough, and determining an operation mode indicated by the mode configuration information and matched with the target use habit as the target operation mode when the current health state is healthy;

determining an operation mode which is indicated by the mode configuration information and is matched with the current behavior when the health state is healthy as the target operation mode under the condition that the health state data is not acquired but the behavior state data is acquired;

and under the condition that the health state data and the behavior state data are acquired, determining the running mode which is indicated by the mode configuration information and is matched with the current health state and the current behavior as the target running mode.

8. The method according to any one of claims 1 to 7, wherein after the obtaining target object data of the usage object of the smart device, the method further comprises:

under the condition that the behavior state data is obtained, determining second associated equipment associated with the current behavior indicated by the behavior state data;

and controlling the second associated equipment to execute equipment operation matched with the current behavior.

9. An apparatus for controlling operation of a plant, comprising:

a first acquisition unit configured to acquire target object data of a usage object of a smart device, wherein the target object data includes: health state data indicating a current health state of the usage object, behavior state data indicating a current behavior performed by the usage object;

a second obtaining unit, configured to obtain historical usage data corresponding to the usage object, where the historical usage data is used to indicate a target usage habit of the usage object on the smart device;

the first determining unit is used for determining a target operation state parameter of the intelligent equipment according to the target object data and the historical use data;

and the first control unit is used for controlling the running state of the intelligent equipment according to the target running state parameter.

10. A computer-readable storage medium, comprising a stored program, wherein the program when executed performs the method of any of claims 1 to 8.