CN115167164A - Method and device for determining equipment scene, storage medium and electronic device - Google Patents
Method and device for determining equipment scene, storage medium and electronic device Download PDFInfo
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The application discloses a method and a device for determining an equipment scene, a storage medium and an electronic device, which relate to the technical field of smart families, wherein the method for determining the equipment scene comprises the following steps: acquiring operation data generated by a target object using equipment in a target area; wherein the operation data comprises: the method comprises the steps that an operation instruction which is sent by a target object and used for determining corresponding operation parameters of each intelligent device and an operation cycle of the intelligent device in a target area are determined; generating a plurality of recommended scenes of target object using equipment based on the operation data, and adding the recommended scenes into a scene recommendation list of a target application, wherein the target application is used for binding the identity information corresponding to the target object; the method comprises the steps of receiving a first scene request issued by a target object in a target application, determining a target scene to be executed from a scene recommendation list, and solving the problem that the scene cannot be actively recommended to the target object according to the operation habit of the target object using intelligent equipment in the related art.
Description
Technical Field
The application relates to the technical field of smart homes, in particular to a method and a device for determining an equipment scene, a storage medium and an electronic device.
Background
Now along with the rapid development of intelligent household appliances, more and more intelligent household appliances get into the family, and the notion of wisdom family also comes up with fortune, has realized more intelligent experience for traditional each family scene, including bedroom, kitchen, sitting room, balcony, bathroom etc. very big improvement user's quality of life. However, the scene is set in advance, some scene templates recommended by an official party are used, some scene templates need to be set manually by a user, the experience of the user is not good, and certain use difficulty exists. Further, home appliance manufacturers also release their own scenes according to their needs, and most of these scenes are in a preset manner, and the scenes can only be enabled after corresponding devices exist in a family, and thus the needs of users cannot be really met.
Therefore, an effective solution has not been proposed yet to the problem in the related art that a scene cannot be actively recommended to a target object according to the operation habit of the target object using the smart device.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining a device scene, a storage medium and an electronic device, which are used for at least solving the problem that the scene cannot be actively recommended to a target object according to the operation habit of the target object using intelligent equipment in the related art.
According to an embodiment of the present application, there is provided a method for determining an apparatus scenario, including: acquiring operation data generated by a target object using equipment in a target area; wherein the operational data comprises: the target object sends an operation instruction for determining corresponding operation parameters of each intelligent device and an operation period of the intelligent device in the target area; the target object and the intelligent equipment are both positioned in the target area; generating a plurality of recommended scenes of the target object using the equipment based on the operation data, and adding the recommended scenes into a scene recommendation list of a target application, wherein the target application is used for binding identity information corresponding to the target object; and receiving a first scene request issued by the target object in the target application, and determining a target scene to be executed from the scene recommendation list.
In one exemplary embodiment, generating a plurality of recommended scenarios for the target object to use the device based on the operational data includes: determining a first operation instruction set of different intelligent devices in the operation data within the same preset time period; screening a second operation instruction set corresponding to the effective instruction in the first operation instruction set, wherein the effective instruction is used for indicating an instruction for controlling the intelligent equipment to be in different working states; generating a plurality of recommended scenes for the target object to use the device based on the second set of operating instructions.
In one exemplary embodiment, generating a plurality of recommended scenarios for the target object to use the device based on the second set of operating instructions includes: determining starting time points in the running cycles corresponding to different operation instructions in the second operation instruction set; confirming a first time interval of at least two operation instructions in the second operation instruction set based on the starting time point; under the condition that the first time interval is smaller than a preset interval, determining that the at least two operation instructions have scene correlation, and correspondingly generating a target use recommendation scene of the at least two operation instructions; and under the condition that the scene association of all the operation instructions in the second operation instruction set is determined, obtaining a plurality of recommended scenes which are allowed to be executed by the equipment and are to be recommended to the target object.
In an exemplary embodiment, after generating a plurality of recommended scenes for the target object to use the device based on the operation data and adding the recommended scenes to a scene recommendation list of a target application, the method further includes: acquiring a historical first scene request of the target object; analyzing the historical first scene request to obtain the use preference of the target object, wherein the use preference is used for indicating the characteristics of the scene which is selected by the target object in the scene recommendation list in priority; ranking the plurality of recommended scenes in the scene recommendation list added to the target application using the usage preferences.
In an exemplary embodiment, receiving a first scene request issued by the target object in the target application, and determining a target scene to be executed from the scene recommendation list includes: determining the scene requirement of the target object carried by the first scene request; matching in the scene recommendation list based on the scene requirements, and determining the matching degree of the scene requirements and each recommended scene; and determining a recommended scene with the highest matching degree from the scene recommendation list as a target scene to be executed.
In an exemplary embodiment, after receiving a first scene request issued by the target object in the target application and determining a target scene to be executed from the scene recommendation list, the method further includes: determining a device interface of a device corresponding to the target scene; and changing the setting parameters corresponding to the equipment interface under the condition of acquiring a second scene request issued by the target object in the target application, wherein the second scene request is used for carrying the equipment parameters to be started after the target object is modified.
In an exemplary embodiment, before adding the plurality of recommended scenes to the scene recommendation list of the target application, the method further includes: obtaining the latest use information of different intelligent devices in each recommended scene; determining a scene data structure corresponding to each scene based on the use information, generating a data file corresponding to the scene data structure, and obtaining a plurality of data packets corresponding to the recommended scenes.
According to another embodiment of the present application, there is also provided an apparatus for determining a device scenario, including: the acquisition module is used for acquiring operation data generated by equipment in a target area used by a target object; wherein the operational data comprises: the target object sends an operation instruction for determining corresponding operation parameters of each intelligent device and an operation period of the intelligent device in the target area; the target object and the intelligent equipment are both positioned in the target area; the recommendation module is used for generating a plurality of recommendation scenes for the target object to use the equipment based on the operation data and adding the recommendation scenes into a scene recommendation list of a target application, wherein the target application is used for binding the identity information corresponding to the target object; and the determining module is used for receiving a first scene request issued by the target object in the target application and determining a target scene to be executed from the scene recommendation list.
In an exemplary embodiment, the recommending module is further configured to determine a first operation instruction set of different intelligent devices in the operation data within a same preset time period; screening a second operation instruction set corresponding to the effective instruction in the first operation instruction set, wherein the effective instruction is used for indicating an instruction for controlling the intelligent equipment to be in different working states; generating a plurality of recommended scenes for the target object to use the device based on the second set of operating instructions.
In an exemplary embodiment, the recommending module is further configured to determine starting time points in the running cycle corresponding to different operation instructions in the second operation instruction set; confirming a first time interval of at least two operation instructions in the second operation instruction set based on the starting time point; under the condition that the first time interval is smaller than a preset interval, determining that scene association exists between the at least two operation instructions, and correspondingly generating a target use recommendation scene of the at least two operation instructions; and under the condition that the scene relevance of all the operation instructions in the second operation instruction set is determined, obtaining a plurality of recommended scenes which are allowed to be executed by the equipment and are to be recommended to the target object.
In an exemplary embodiment, the apparatus further includes: the request module is used for acquiring a historical first scene request of the target object; analyzing the historical first scene request to obtain the use preference of the target object, wherein the use preference is used for indicating the characteristics of the scene which is selected by the target object in the scene recommendation list in priority; ranking the plurality of recommended scenes in the scene recommendation list added to the target application using the usage preferences.
In an exemplary embodiment, the determining module is further configured to determine a scene requirement of the target object carried by the first scene request; matching in the scene recommendation list based on the scene requirements, and determining the matching degree of the scene requirements and each recommended scene; and determining a recommended scene with the highest matching degree from the scene recommendation list as a target scene to be executed.
In an exemplary embodiment, the apparatus further includes: the setting module is used for determining an equipment interface of equipment corresponding to the target scene; and changing the setting parameters corresponding to the equipment interface under the condition of acquiring a second scene request issued by the target object in the target application, wherein the second scene request is used for carrying the equipment parameters to be started after the target object is modified.
In an exemplary embodiment, the recommending module further includes: the generating unit is used for acquiring the latest use information of different intelligent devices in each scene of the plurality of recommended scenes; determining a scene data structure corresponding to each scene based on the use information, generating a data file corresponding to the scene data structure, and obtaining a plurality of data packets corresponding to the recommended scenes.
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, where the computer program is configured to execute the method for determining the device scenario when the computer program runs.
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 on the memory and executable on the processor, wherein the processor executes the method for determining the device scenario through the computer program.
In the embodiment of the application, operation data generated by equipment in a target area used by a target object is acquired; wherein the operation data comprises: the operation instruction which is sent by the target object and used for determining the corresponding operation parameter of each intelligent device and the operation period of the device in the target area; the target object and the intelligent equipment are both positioned in a target area; generating a plurality of recommended scenes of target object using equipment based on operation data, and adding the recommended scenes into a scene recommendation list of a target application, wherein the target application is used for binding identity information corresponding to the target object; receiving a first scene request issued by a target object in a target application, and determining a target scene to be executed from a scene recommendation list; by adopting the technical scheme, the problem that the scene cannot be actively recommended to the target object according to the operation habit of the target object using the intelligent device in the related technology is solved, the operation data of the target object using the intelligent device in the target area is actively acquired, and the recommended scene corresponding to the operation data is determined to be recommended to the target object, so that the target object can effectively acquire the recommended scene corresponding to the behavior habit of the target object, and the probability of using the scene of the target object in the device is improved.
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 hardware environment diagram of a method for determining a device scenario according to an embodiment of the present application;
FIG. 2 is a flow chart of a method of device context determination according to an embodiment of the present application;
FIG. 3 is a timing diagram of a device context determination system according to an embodiment of the present application;
fig. 4 is a block diagram of a device scenario determination apparatus according to an embodiment of the present application;
fig. 5 is a block diagram of another apparatus scenario determination apparatus according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application 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 some embodiments of the present application, and 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. Moreover, 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 an aspect of an embodiment of the present application, a method for determining a device scenario is provided. The method for determining the equipment scene is widely applied to full-house intelligent digital control application scenes such as Smart Home (Smart Home), smart Home equipment ecology, smart Home (Intelligent House) ecology and the like. Alternatively, in this embodiment, the method for determining the device scenario may be applied to a hardware environment formed by the terminal device 102 and the server 104 as shown in fig. 1. As shown in fig. 1, the server 104 is connected to the terminal device 102 through a network, and may be configured to provide a service (e.g., an application service) for the terminal or a client installed on the terminal, set a database on the server or independent of the server, and provide a data storage service for the server 104, and configure a cloud computing and/or edge computing service on the server or independent of the server, and provide a data operation service 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. Terminal equipment 102 can be but not limited to be PC, the cell-phone, the panel computer, intelligent air conditioner, intelligent cigarette machine, intelligent refrigerator, intelligent oven, intelligent kitchen range, intelligent washing machine, intelligent water heater, intelligent washing equipment, intelligent dish washer, intelligent projection equipment, intelligent TV, intelligent clothes hanger, intelligent (window) curtain, intelligence audio-visual, smart jack, intelligent stereo set, intelligent audio amplifier, intelligent new trend equipment, intelligent kitchen guarding equipment, intelligent bathroom equipment, intelligence robot of sweeping the floor, intelligence robot of wiping the window, intelligence robot of mopping the ground, intelligent air purification equipment, intelligent steam ager, intelligent microwave oven, intelligent kitchen is precious, intelligent clarifier, intelligent water dispenser, intelligent lock etc..
In this embodiment, a method for determining an equipment scenario is provided, which is applied to the computer terminal, and fig. 2 is a flowchart of a method for determining an equipment scenario according to an embodiment of the present application, where the flowchart includes the following steps:
step S202, acquiring operation data generated by equipment in a target area used by a target object; wherein the operational data comprises: the target object sends an operation instruction for determining corresponding operation parameters of each intelligent device and an operation period of the intelligent device in the target area; the target object and the intelligent equipment are both positioned in the target area;
it can be understood that, in the smart home application scenario, the target object is an object having an association relationship with the device, that is, the target object has a corresponding operation right on the device, and the device allows the bound and registered target object to perform operation control on the device according to the related configuration right. It can be understood that the target object is an object that has acquired the operation authority of the function corresponding to the device, and may be a registered target account or a registered family member, which is not limited in this application.
Step S204, generating a plurality of recommended scenes of the target object using the equipment based on the operation data, and adding the recommended scenes into a scene recommendation list of a target application, wherein the target application is used for binding identity information corresponding to the target object;
optionally, the target object may actively issue a control instruction to the intelligent device corresponding to the target application through the target application, so as to complete control of the intelligent device;
step S206, receiving a first scene request issued by the target object in the target application, and determining a target scene to be executed from the scene recommendation list.
It should be noted that, in order to avoid that the target scene is automatically started when the target object is not authorized, after the target scene is determined, the application time of the target object for starting the target scene in the target application is also required, for example, a time period during which the target object needs to execute the target scene is set, and then the application of the target scene is completed before the time period is ended, and because the execution is actively controlled by the target object, the use experience of the target object for the target scene is improved.
Through the steps, operation data generated by the target object using equipment in the target area are obtained; wherein the operation data comprises: the operation instruction which is sent by the target object and used for determining the corresponding operation parameter of each intelligent device and the operation period of the device in the target area; the target object and the intelligent equipment are both positioned in a target area; generating a plurality of recommended scenes of target object using equipment based on the operation data, and adding the recommended scenes into a scene recommendation list of a target application, wherein the target application is used for binding the identity information corresponding to the target object; receiving a first scene request issued by a target object in a target application, and determining a target scene to be executed from a scene recommendation list; by adopting the technical scheme, the problem that the scene cannot be actively recommended to the target object according to the operation habit of the target object using the intelligent device in the related technology is solved, the operation data of the target object using the intelligent device in the target area is actively acquired, and the recommended scene corresponding to the operation data is determined to be recommended to the target object, so that the target object can effectively acquire the recommended scene corresponding to the behavior habit of the target object, and the probability of using the scene of the target object in the device is improved.
In one exemplary embodiment, generating a plurality of recommended scenarios for the target object to use the device based on the operational data comprises: determining a first operation instruction set of different intelligent devices in the operation data within the same preset time period; screening a second operation instruction set corresponding to the effective instruction in the first operation instruction set, wherein the effective instruction is used for indicating an instruction for controlling the intelligent equipment to be in different working states; generating a plurality of recommended scenes of the target object for using the device based on the second set of operating instructions.
For example, since the types of the smart devices are different and the specific use conditions thereof are different, in order to ensure that no instruction conflict exists among the smart devices in the determined recommendation scenes, when determining a plurality of recommendation scenes of the device according to the operation instruction set, instructions having conflicts or abnormalities in the operation instruction set are removed, so as to ensure that the finally determined recommendation scenes can be smoothly executed by the smart devices in the target area.
In one exemplary embodiment, generating a plurality of recommended scenarios for the target object to use the device based on the second set of operating instructions includes: determining starting time points in the running cycles corresponding to different operation instructions in the second operation instruction set; confirming a first time interval of at least two operation instructions in the second operation instruction set based on the starting time point; under the condition that the first time interval is smaller than a preset interval, determining that scene association exists between the at least two operation instructions, and correspondingly generating a target use recommendation scene of the at least two operation instructions; and under the condition that the scene association of all the operation instructions in the second operation instruction set is determined, obtaining a plurality of recommended scenes which are allowed to be executed by the equipment and are to be recommended to the target object.
It can be understood that, in order to ensure continuity of the recommended scene, when the recommended scene is determined, the time interval of the operation instruction corresponding to the device in the recommended scene needs to be determined, so as to avoid incomplete and discontinuous execution of the recommended scene due to too long execution time of the operation instruction between different intelligent devices, so that the use experience of the target object is poor, and the effect of the subsequent recommended scene is poor.
In an exemplary embodiment, after generating a plurality of recommended scenes for the target object to use the device based on the operation data and adding the plurality of recommended scenes to a scene recommendation list of the target application, the method further includes: acquiring a historical first scene request of the target object; analyzing the historical first scene request to obtain the use preference of the target object, wherein the use preference is used for indicating the characteristics of the scene which is selected by the target object in the scene recommendation list in priority; ranking the plurality of recommended scenes in the scene recommendation list added to the target application using the usage preferences.
In an exemplary embodiment, receiving a first scene request issued by the target object in the target application, and determining a target scene to be executed from the scene recommendation list includes: determining the scene requirement of the target object carried by the first scene request; matching in the scene recommendation list based on the scene requirements, and determining the matching degree of the scene requirements and each recommended scene; and determining a recommended scene with the highest matching degree from the scene recommendation list as a target scene to be executed.
The method and the device have the advantages that the preferred scenes are preferentially recommended to the target object according to the use preference of the target object, the probability that the recommended scenes are adopted by the target object is improved, and due to the fact that sequencing recommendation is conducted according to the preference of the target object, the target object can be used for quickly determining the scenes which are required to be used continuously from the recommended scenes, and the success rate of scene recommendation is improved.
In an exemplary embodiment, after receiving a first scene request issued by the target object in the target application and determining a target scene to be executed from the scene recommendation list, the method further includes: determining a device interface of a device corresponding to the target scene; and changing the setting parameters corresponding to the equipment interface under the condition of acquiring a second scene request issued by the target object in the target application, wherein the second scene request is used for carrying the equipment parameters to be started after the target object is modified.
It can be understood that different recommended scenes correspond to different target objects, and device parameters executed by corresponding smart devices will also be different, for example, when it is determined that the season corresponding to the location of the target object is summer, the time that the target object uses the smart appliance is 17 to 00, and the target object uses a refrigerator, an air conditioner, a smart lamp, or other devices for more than 20 days in a month in the period, and enough usage data information is stored in the large data platform, at this time, a recommended scene may be actively customized, where the scene may be: after the target object arrives at home, the intelligent lamp is automatically turned on, the air conditioner is automatically turned on and adjusted to 27 degrees, and the target object is reminded of drink information in the refrigerator.
Alternatively, when the same scene is used by another target object, the air-conditioning temperature required by the target object is 25 degrees. Therefore, when the target scene is executed, the device parameters to be started after the target object is modified are also required to be acquired, the intelligent device in the target scene is flexibly controlled, and the scene customization is ensured.
In an exemplary embodiment, before adding the plurality of recommended scenes to the scene recommendation list of the target application, the method further includes: acquiring the latest use information of different intelligent devices in each recommended scene; determining a scene data structure corresponding to each scene based on the use information, generating a data file corresponding to the scene data structure, and obtaining a plurality of data packets corresponding to the plurality of recommended scenes.
In order to better understand the process of the method for determining the device scenario, the following describes an implementation method flow of the determination of the device scenario with reference to an optional embodiment, but is not limited to the technical solution of the embodiment of the present application.
In this embodiment, a system for determining an equipment scenario is provided, and fig. 3 is a timing diagram of the system for determining an equipment scenario according to the embodiment of the present application, and as shown in fig. 3, a specific operation process is as follows:
step one, a user (equivalent to a target object in the embodiment) controls the intelligent household appliance through voice equipment, and a voice instruction is sent to a background through a network and stored in a big data background; the user controls the intelligent household appliance through the APP, and the request instruction data can be stored in the big data background;
step two, the big data platform learns the use behavior data of the user meeting certain conditions by combining other parameters (time, season) and the like, and carries out customized scene recommendation according to the intelligent household appliances existing in the user family;
optionally, when it is determined that the season corresponding to the location of the user is summer, the time when the user uses the intelligent appliance is 17 to 00, and the user uses the refrigerator, the air conditioner, the intelligent lamp, and other devices in the period for more than 20 days in one month, at this time, sufficient usage data information is stored in the big data platform, at this time, a recommended scene may be actively customized, where: after the user arrives at home, the intelligent lamp is automatically turned on, the air conditioner is automatically turned on and adjusted to 27 degrees, and the user is reminded of drink information in the refrigerator. That is to say, the use data and the use time of different intelligent household appliances used by the user in the preset customization period are collected to obtain the customized reference data, and then the intelligent household appliances with higher use frequency of the user, the use time corresponding to the intelligent household appliances and the operation parameters corresponding to the intelligent household appliances are determined according to the customized reference data, so that a recommended scene for one use of the user is obtained, the operation behaviors of the user are reduced, and the experience of the user in using the intelligent household appliances is improved.
Recommending a pushing scene determined by a big data background to an IOT cloud platform, wherein the IOT cloud platform packages a data structure, pushes scene creation information through Kafka, and pushes the creation information to a Server side corresponding to an intelligent household appliance and an intelligent household appliance APP (equivalent to the target application);
step four, the Server side pushes the customized new recommended scene to the APP used by the user through the message center;
step five, clicking a new scene on the APP by the user, starting the new scene, and enabling the request data to reach the IOT cloud platform; optionally, the user may set the operation parameters corresponding to different home appliances in the scene according to the own requirements, so as to implement personalized customization.
Calling an interface corresponding to the enabled scene, and adding the determined scene to be executed to a personal scene list of the user; when the execution condition of the scene to be executed is reached, the IOT cloud platform instructs the intelligent household appliances controlled by the server to access the network to execute the newly started scene. And the user can also check the detailed information of the scene on the APP so as to ensure that the used scene meets the self requirement.
It should be noted that, when learning the data of the user's habit in using the device through big data, combining the data of time, season, climate conditions, etc., and implementing customization of a new recommended scene through an algorithm, in order to improve the user experience, the time for using the home area, the device switch, and the device function of the recommended scene may also be set, so that when applying the recommended scene, the characteristics of the household electrical appliance itself are prevented from affecting the overall application of the scene, and by controlling the application range of the scene in the home area, energy consumption caused by too many identical household electrical appliances is avoided, for example, when the smart lamp is used, the smart lamp preferentially uses the living room and bedroom, and can temporarily wait for other smart lamps existing in the home area; in addition, for a user without operating equipment data, the equipment combination is turned on and off based on an algorithm, and when the user manually performs the operation, the family area, the equipment switch, the function switch and the function parameter recommendation are performed.
The embodiment can be used under the conditions that the popularity of the intelligent household appliance is higher and higher, and the behaviors of the user are controlled increasingly frequently through remote control and voice control equipment. Through the study of a large amount of data, the environment data and the like are combined, the customized scene is calculated for the user to select and use, the user experience is improved, and the accuracy of human-computer interaction is improved.
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., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method of the embodiments of the present application.
Fig. 4 is a block diagram of a device scenario determination apparatus according to an embodiment of the present application. As shown in fig. 4, includes:
an obtaining module 42, configured to obtain operation data generated by the target object using the device in the target area; wherein the operational data comprises: the target object sends an operation instruction for determining corresponding operation parameters of each intelligent device, and the operation period of the intelligent device in the target area; the target object and the intelligent equipment are both positioned in the target area;
a recommendation module 44, configured to generate multiple recommendation scenes for the target object to use the device based on the operation data, and add the multiple recommendation scenes to a scene recommendation list of a target application, where the target application is used to bind identity information corresponding to the target object;
a determining module 46, configured to receive a first scene request issued by the target object in the target application, and determine a target scene to be executed from the scene recommendation list.
By the device, operation data generated by the target object using equipment in the target area is acquired; wherein the operational data includes: the operation instruction which is sent by the target object and used for determining the corresponding operation parameter of each intelligent device and the operation period of the device in the target area; the target object and the intelligent equipment are both positioned in a target area; generating a plurality of recommended scenes of target object using equipment based on the operation data, and adding the recommended scenes into a scene recommendation list of a target application, wherein the target application is used for binding the identity information corresponding to the target object; receiving a first scene request issued by a target object in a target application, and determining a target scene to be executed from a scene recommendation list; by adopting the technical scheme, the problem that the scene cannot be actively recommended to the target object according to the operation habit of the target object using the intelligent device in the related technology is solved, the operation data of the target object using the intelligent device in the target area is actively acquired, and the recommended scene corresponding to the operation data is determined to be recommended to the target object, so that the target object can effectively acquire the recommended scene corresponding to the behavior habit of the target object, and the probability of using the scene of the target object in the device is improved.
In an exemplary embodiment, the recommending module is further configured to determine a first operation instruction set of different intelligent devices in the operation data within a same preset time period; screening a second operation instruction set corresponding to the effective instruction in the first operation instruction set, wherein the effective instruction is used for indicating an instruction for controlling the intelligent equipment to be in different working states; generating a plurality of recommended scenes for the target object to use the device based on the second set of operating instructions.
In an exemplary embodiment, the recommending module is further configured to determine starting time points in the running cycle corresponding to different operation instructions in the second operation instruction set; confirming a first time interval of at least two operation instructions in the second operation instruction set based on the starting time point; under the condition that the first time interval is smaller than a preset interval, determining that scene association exists between the at least two operation instructions, and correspondingly generating a target use recommendation scene of the at least two operation instructions; and under the condition that the scene association of all the operation instructions in the second operation instruction set is determined, obtaining a plurality of recommended scenes which are allowed to be executed by the equipment and are to be recommended to the target object.
Fig. 5 is a block diagram of another apparatus scenario determination apparatus according to an embodiment of the present application. As shown in fig. 5, not only all the modules in fig. 4 described above are included, but also: a request module 50, a setting module 52;
in an exemplary embodiment, the apparatus further comprises: the request module is used for acquiring a historical first scene request of the target object; analyzing the historical first scene request to obtain the use preference of the target object, wherein the use preference is used for indicating the characteristics of the scene which is selected by the target object in the scene recommendation list in priority; ranking the plurality of recommended scenes in the scene recommendation list added to the target application using the usage preferences.
In an exemplary embodiment, the determining module is further configured to determine a scene requirement of the target object carried by the first scene request; matching in the scene recommendation list based on the scene requirements, and determining the matching degree of the scene requirements and each recommended scene; and determining a recommended scene with the highest matching degree from the scene recommendation list as a target scene to be executed.
In an exemplary embodiment, the apparatus further includes: the setting module is used for determining an equipment interface of equipment corresponding to the target scene; and changing the setting parameters corresponding to the equipment interface under the condition of acquiring a second scene request issued by the target object in the target application, wherein the second scene request is used for carrying the equipment parameters to be started after the target object is modified.
In an exemplary embodiment, the recommending module further includes: the generating unit is used for acquiring the latest use information of different intelligent devices in each scene of the plurality of recommended scenes; determining a scene data structure corresponding to each scene based on the use information, generating a data file corresponding to the scene data structure, and obtaining a plurality of data packets corresponding to the plurality of recommended scenes.
Embodiments of the present application also provide a storage medium including a stored program, where the program performs any one of the methods described above when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store program codes for performing the following steps:
s1, acquiring operation data generated by a target object using equipment in a target area; wherein the operational data comprises: the target object sends an operation instruction for determining corresponding operation parameters of each intelligent device, and the operation period of the intelligent device in the target area; the target object and the intelligent equipment are both positioned in the target area;
s2, generating a plurality of recommended scenes of the target object using the equipment based on the operation data, and adding the recommended scenes into a scene recommendation list of a target application, wherein the target application is used for binding identity information corresponding to the target object;
and S3, receiving a first scene request issued by the target object in the target application, and determining a target scene to be executed from the scene recommendation list.
Embodiments of the present application further provide an electronic device, comprising a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the method embodiments described above.
Optionally, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, acquiring operation data generated by equipment in a target area used by a target object; wherein the operational data comprises: the target object sends an operation instruction for determining corresponding operation parameters of each intelligent device, and the operation period of the intelligent device in the target area; the target object and the intelligent equipment are both positioned in the target area;
s2, generating a plurality of recommended scenes of the target object using the equipment based on the operation data, and adding the recommended scenes into a scene recommendation list of a target application, wherein the target application is used for binding identity information corresponding to the target object;
and S3, receiving a first scene request issued by the target object in the target application, and determining a target scene to be executed from the scene recommendation list.
Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing program codes, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the present application described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
The foregoing is only a preferred embodiment of the present application and it should be noted that, as will be apparent to those skilled in the art, numerous modifications and adaptations can be made without departing from the principles of the present application and such modifications and adaptations are intended to be considered within the scope of the present application.
Claims (10)
1. A method for determining a device context, comprising:
acquiring operation data generated by a target object using equipment in a target area; wherein the operational data comprises: the target object sends an operation instruction for determining corresponding operation parameters of each intelligent device and an operation period of the intelligent device in the target area;
generating a plurality of recommended scenes of the target object using the equipment based on the operation data, and adding the recommended scenes into a scene recommendation list of a target application, wherein the target application is used for binding identity information corresponding to the target object;
and receiving a first scene request issued by the target object in the target application, and determining a target scene to be executed from the scene recommendation list.
2. The method of determining the context of the device of claim 1, wherein generating a plurality of recommended contexts for the target object to use the device based on the operational data comprises:
determining a first operation instruction set of different intelligent devices in the operation data within the same preset time period;
screening a second operation instruction set corresponding to the effective instruction in the first operation instruction set, wherein the effective instruction is used for indicating an instruction for controlling the intelligent equipment to be in different working states;
generating a plurality of recommended scenes of the target object for using the device based on the second set of operating instructions.
3. The method for determining the device context according to claim 2, wherein generating a plurality of recommended contexts for the target object to use the device based on the second set of operation instructions comprises:
determining starting time points in the running cycles corresponding to different operation instructions in the second operation instruction set;
confirming a first time interval of at least two operation instructions in the second operation instruction set based on the starting time point;
under the condition that the first time interval is smaller than a preset interval, determining that scene association exists between the at least two operation instructions, and correspondingly generating a target use recommendation scene of the at least two operation instructions;
and under the condition that the scene association of all the operation instructions in the second operation instruction set is determined, obtaining a plurality of recommended scenes which are allowed to be executed by the equipment and are to be recommended to the target object.
4. The method for determining the device context according to claim 1, wherein after generating a plurality of recommended contexts for the target object to use the device based on the operation data and adding the plurality of recommended contexts to a context recommendation list of a target application, the method further comprises:
acquiring a historical first scene request of the target object;
analyzing the historical first scene request to obtain the use preference of the target object, wherein the use preference is used for indicating the characteristics of the scene which is selected by the target object in the scene recommendation list in priority;
ranking the plurality of recommended scenes in the scene recommendation list added to the target application using the usage preferences.
5. The method for determining the device context according to claim 1, wherein receiving a first context request issued by the target object in the target application, and determining a target context to be executed from the context recommendation list includes:
determining the scene requirement of the target object carried by the first scene request;
matching in the scene recommendation list based on the scene requirements, and determining the matching degree of the scene requirements and each recommended scene;
and determining a recommended scene with the highest matching degree from the scene recommendation list as a target scene to be executed.
6. The method for determining the device context according to claim 1, wherein after receiving a first context request issued by the target object in the target application and determining a target context to be executed from the context recommendation list, the method further comprises:
determining a device interface of a device corresponding to the target scene;
and changing the setting parameters corresponding to the equipment interface under the condition of acquiring a second scene request issued by the target object in the target application, wherein the second scene request is used for carrying the equipment parameters to be started after the target object is modified.
7. The method of determining the device context of claim 1, wherein before adding the plurality of recommended contexts to the context recommendation list of the target application, the method further comprises:
acquiring the latest use information of different intelligent devices in each recommended scene;
determining a scene data structure corresponding to each scene based on the use information, generating a data file corresponding to the scene data structure, and obtaining a plurality of data packets corresponding to the plurality of recommended scenes.
8. An apparatus for determining a device context, comprising:
the acquisition module is used for acquiring operation data generated by equipment in a target area used by a target object; wherein the operational data comprises: the target object sends an operation instruction for determining corresponding operation parameters of each intelligent device and an operation period of the intelligent device in the target area; the target object and the intelligent equipment are both positioned in the target area;
the recommendation module is used for generating a plurality of recommendation scenes for the target object to use the equipment based on the operation data and adding the recommendation scenes into a scene recommendation list of a target application, wherein the target application is used for binding the identity information corresponding to the target object;
and the determining module is used for receiving a first scene request issued by the target object in the target application and determining a target scene to be executed from the scene recommendation list.
9. A computer-readable storage medium, comprising a stored program, wherein the program is operable to perform the method of any one of claims 1 to 7.
10. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the method of any of claims 1 to 7 by means of the computer program.
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