CN113485132B - Management method and device for intelligent home system and intelligent home system - Google Patents
Management method and device for intelligent home system and intelligent home system Download PDFInfo
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- 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] or computer integrated manufacturing [CIM]
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- G—PHYSICS
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- 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
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- 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]
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Abstract
The application relates to the technical field of smart families and discloses a management method for a smart family system, which comprises the following steps: determining a smart capability score of a smart home system according to at least one scene service capability of the smart home system; determining the current intelligent capability ranking of the intelligent home system according to the intelligent capability score and the intelligent capability ranking list of the intelligent home system; determining a target intelligent capability ranking of the intelligent home system according to the current intelligent capability ranking of the intelligent home system, wherein the target intelligent capability ranking is larger than the current intelligent capability ranking of the intelligent home system; and calling in a target scene model corresponding to the target intelligent capability rank of the intelligent home system, and adjusting intelligent home equipment of the intelligent home system according to the target scene model. The application also discloses a management device for the intelligent home system and the intelligent home system.
Description
Technical Field
The present application relates to the technical field of smart home, for example, to a management method and device for a smart home system and a smart home system.
Background
At present, a Smart Home (Smart Home) system combines the technologies of the internet of things, cloud computing, mobile internet and big data, can complete automatic control of a Home environment, and intelligently provides various Home intelligent spaces for users with required services. The intelligent home system connects various intelligent home devices in home, such as audio and video devices, lighting systems, curtain control, air conditioner control, security systems, digital cinema systems, audio and video servers, network home appliances and the like, together through the internet of things technology so as to provide various functions and means of home appliance control, lighting control, telephone remote control, indoor and outdoor remote control, anti-theft alarm, environment monitoring, heating ventilation control, infrared forwarding, programmable timing control and the like.
In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:
in the prior art, a method for evaluating the intelligent capability level of the intelligent home system is lacking, so that the intelligent capability level of the intelligent home system in the home environment of each user is difficult to evaluate effectively, and the intelligent home is puzzled in upgrading and perfecting services.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview, and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended as a prelude to the more detailed description that follows.
The embodiment of the disclosure provides a management method and device for a smart home system and the smart home system, so as to solve the technical problems.
In some embodiments, the method comprises:
determining a smart capability score of a smart home system according to at least one scene service capability of the smart home system;
determining the current intelligent capability ranking of the intelligent home system according to the intelligent capability score and the intelligent capability ranking list of the intelligent home system;
determining a target intelligent capability ranking of the intelligent home system according to the current intelligent capability ranking of the intelligent home system, wherein the target intelligent capability ranking is larger than the current intelligent capability ranking of the intelligent home system;
and calling in a target scene model corresponding to the target intelligent capability rank of the intelligent home system, and adjusting intelligent home equipment of the intelligent home system according to the target scene model.
In some embodiments, the apparatus comprises:
the score determining module is used for determining a smart capability score of the smart home system according to at least one scene service capability of the smart home system;
The ranking determining module is used for determining the current intelligent capability ranking of the intelligent home system according to the intelligent capability score and the intelligent capability ranking list of the intelligent home system;
the ranking adjustment module is used for determining a target intelligent capability ranking of the intelligent home system according to the current intelligent capability ranking of the intelligent home system, wherein the target intelligent capability ranking is larger than the current intelligent capability ranking of the intelligent home system;
and the equipment management module is used for calling in a target scene model corresponding to the target intelligent capability ranking of the intelligent home system, and adjusting intelligent home equipment of the intelligent home system according to the target scene model.
In some embodiments, the apparatus comprises a processor and a memory storing program instructions, characterized in that the processor is configured to perform a management method for a smart home system as described herein when executing the program instructions.
In some embodiments, the smart home system comprises at least one smart home device and a management apparatus for a smart home system as described herein.
The management method and device for the intelligent home system and the intelligent home system provided by the embodiment of the disclosure have the following technical effects:
Through the at least one scene service ability that possesses according to intelligent home system, confirm intelligent home system's intelligent ability grading, according to intelligent home system's intelligent ability grading and intelligent ability ranking list, confirm intelligent home system's current intelligent ability ranking to can effectually judge intelligent home system's intelligent ability grade in the current indoor scene of user, simultaneously, according to intelligent home system's target intelligent ability ranking corresponds target scene model, according to target scene model is right intelligent home system's intelligent home equipment adjusts, so that upgrade and perfect intelligent home system's intelligent ability.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which like reference numerals refer to similar elements, and in which:
FIG. 1 is a schematic diagram of a management method for a smart home system provided by an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of another management method for a smart home system provided by an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of another management method for a smart home system provided by an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of another management method for a smart home system provided by an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of another management method for a smart home system provided by an embodiment of the present disclosure;
FIG. 6 is a schematic diagram of another management method for a smart home system provided by an embodiment of the present disclosure;
FIG. 7 is a schematic diagram of another management method for a smart home system provided by an embodiment of the present disclosure;
fig. 8 is a schematic diagram of a management apparatus for a smart home system according to an embodiment of the present disclosure;
fig. 9 is a schematic diagram of another management apparatus for a smart home system according to an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and techniques of the disclosed embodiments can be understood in more detail, a more particular description of the embodiments of the disclosure, briefly summarized below, may be had by reference to the appended drawings, which are not intended to be limiting of the embodiments of the disclosure. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawing.
The terms first, second and the like in the description and in the claims of the embodiments of the disclosure and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe embodiments of the present disclosure. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion.
The term "plurality" means two or more, unless otherwise indicated.
In the embodiment of the present disclosure, the character "/" indicates that the front and rear objects are an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes an object, meaning that there may be three relationships. For example, a and/or B, represent: a or B, or, A and B.
The intelligent home system comprehensively utilizes the technologies of the Internet of things, big data analysis and the cloud platform, and intelligent control is further carried out on intelligent home equipment through perception of intelligent home environments, and the information consumption home life service system can be realized. Currently, in the existing smart home system, the smart home system at least includes a terminal, a server and smart home devices. The terminal is used for receiving a control instruction of a user and forwarding the control instruction to the server through a network; including but not limited to smart phones, notebook computers, personal digital assistants, mobile internet devices, smart wearable devices such as smart watches and smart bracelets, and the like. The intelligent home equipment is used for receiving the control instruction sent by the server and executing corresponding operation according to the received control instruction. In the embodiment of the application, the smart home devices include, but are not limited to, various smart home devices such as air conditioners, washing machines, refrigerators, water heaters, electric cookers, lamps and the like. The server is used for receiving the control instruction of the terminal, judging the mutual exclusivity, and sending the control instruction to the intelligent home equipment when the mutual exclusion condition is determined to be absent.
Referring to fig. 1, an embodiment of the present disclosure provides a management method for a smart home system, including:
s101: determining a smart-capability score of a smart-home system based on at least one context service capability possessed by the smart-home system.
In the embodiment of the application, the scene service represents a scene-based service, that is, a specific service that the smart home system can provide in a specific scene, and the processing logic of the scene service may include a trigger condition and a service manner. Wherein, as a trigger condition of the scene service, the scene service can be determined according to a signal flow, the signal flow can be used for representing the transmission of a signal carrying variable information, and the data carried by the signal can comprise equipment data and/or equipment receiving data; the device data may include software and hardware data in the terminal device, such as command data interacted with by device software, sensor signals, global positioning system (GPS, global Positioning System) data, time (Time) data, weather data, interface data, and the like, and the device receiving data may include command data, hardware, interface data, and the like received by the terminal device. According to the intelligent home system in the current indoor scene of the user, the intelligent capability score of the intelligent home system in the current indoor scene of the user can be determined according to at least one scene service capability of the intelligent home system in the current indoor scene of the user, and the intelligent capability score is used for indicating the degree of intelligent capability of the intelligent home system in the current indoor scene of the user.
S102: and determining the current intelligent capability ranking of the intelligent home system according to the intelligent capability score and the intelligent capability ranking list of the intelligent home system.
In this embodiment of the present application, the server of the present application compares the smart capability score of the smart home system with a pre-stored smart capability ranking list, so as to determine the current smart capability ranking of the smart home system in the current indoor scene of the user, for example, the smart capability ranking may be ranked according to a specific arabic numerical order, and may also be classified into class 0, class 1, class 2, class 3, class 4 and class 5, and may also be classified into class a, class B, class C, class D and class E, that is, different classes may correspond to different smart capability ranks, and common correspondence is: the lower the score of the intellectual ability score, the lower the intellectual ability ranking; the higher the score of the intellectual ability score, the higher the intellectual ability ranking.
S103: and determining a target intelligent capability ranking of the intelligent home system according to the current intelligent capability ranking of the intelligent home system, wherein the target intelligent capability ranking is larger than the current intelligent capability ranking of the intelligent home system.
In this embodiment of the present application, the server of the present application further determines the target smart capability ranking of the smart home system according to the current smart capability ranking and the smart capability ranking of the smart home system, where the target smart capability ranking is greater than the current smart capability ranking of the smart home system, for example, the current smart capability ranking of the smart home system in the current indoor scene of the user is the level C, and then the server of the smart home system may determine the target smart capability ranking of the smart home system is the level B or the level a.
S104: and calling in a target scene model corresponding to the target intelligent capability rank of the intelligent home system, and adjusting intelligent home equipment of the intelligent home system according to the target scene model.
In this embodiment of the present application, the server of the present application further deduces, in reverse, a target scenario model corresponding to the smart home system in the current indoor scenario of the user under the target smart capability ranking, that is, multiple scenario service capabilities that the smart home system should possess, and systematically manages and adjusts the current scenario service capabilities that the smart home system should possess according to the multiple scenario service capabilities that the smart home system should possess, thereby optimizing and improving the scenario service capabilities of the smart home system.
By adopting the management method for the intelligent home system, provided by the embodiment of the disclosure, the intelligent capability score of the intelligent home system is determined according to at least one scene service capability of the intelligent home system, the current intelligent capability ranking of the intelligent home system is determined according to the intelligent capability score and the intelligent capability ranking list of the intelligent home system, so that the intelligent capability level of the intelligent home system in the current indoor scene of a user can be effectively judged, meanwhile, according to the target scene model corresponding to the target intelligent capability ranking of the intelligent home system, intelligent home equipment of the intelligent home system is adjusted according to the target scene model, and the intelligent capability of the intelligent home system is upgraded and perfected.
Optionally, as shown in fig. 2, the determining the smart capability score of the smart home system according to at least one scenario service capability of the smart home system includes:
s201: and acquiring a capability score corresponding to each of the at least one scene service capability.
In this embodiment of the present application, the server obtains, according to at least one type of a scenario service capability of a smart home system in a current indoor scenario of a user, a capability score corresponding to each type of the scenario service capability, for example, in a case where the scenario service capability includes a user awareness capability, a device awareness capability, an environment awareness capability, a scenario discovery capability, a parameter decision capability and an automatic control capability, if the smart home system in the current indoor scenario of the user has the user awareness capability, the device awareness capability and the environment awareness capability, the capability scores corresponding to the user awareness capability, the device awareness capability and the environment awareness capability are obtained respectively, where it should be noted that, the score of the capability score is matched according to a level of the scenario service capability of the smart home system, and if the level of a certain item of the scenario service capability of the smart home system is higher, the score of the corresponding item of the capability score will be higher.
S202: and carrying out average calculation on the capability scores corresponding to all the scene service capabilities, and taking the obtained average score as the intelligent capability score of the intelligent home system.
In the above embodiment, the server further performs an average calculation according to the capability scores corresponding to the user sensing capability, the device sensing capability and the environment sensing capability of the smart home system in the current indoor scene of the user, and obtains an average score corresponding to the three capabilities, and takes the average score as the smart capability score of the smart home system, for example, the capability scores corresponding to the user sensing capability, the device sensing capability and the environment sensing capability of the smart home system are respectively 6 points, 4 points and 8 points, and then the smart capability score of the smart home system is 6 points.
Optionally, as shown in connection with fig. 3, the determining the smart capability score of the smart home system according to at least one scenario service capability of the smart home system includes:
s301: and acquiring a capability score corresponding to each of the at least one scene service capability.
In this embodiment, the content of step S301 is identical to that of step S201, please refer to the specific description of step S201, and the detailed description is omitted herein.
S302: and taking the lowest score in the capacity scores corresponding to all the scene service capacities as the intelligent capacity score of the intelligent home system.
In the above embodiment, the server of the present application further uses the lowest score of the capability scores as the smart capability score of the smart home system according to the capability scores corresponding to the user perception capability, the device perception capability and the environment perception capability of the smart home system in the current indoor scene of the user, for example, the capability scores corresponding to the user perception capability, the device perception capability and the environment perception capability of the smart home system are respectively 6 points, 4 points and 8 points, and then the smart capability score of the smart home system is 4 points.
Optionally, as shown in connection with fig. 4, the determining the smart capability score of the smart home system according to at least one scenario service capability of the smart home system includes:
s401: and acquiring a capability score corresponding to each of the at least one scene service capability.
In this embodiment, the content of step S401 is identical to that of step S201, please refer to the specific description of step S201, and the detailed description is omitted herein.
S402: and carrying out weighted calculation on scores corresponding to all the scene service capabilities according to the weight coefficient corresponding to each scene service capability, and taking the obtained weighted scores as intelligent capability scores of the intelligent home system.
In the above embodiment, the server further performs weighted calculation on the capability scores according to the weight coefficient corresponding to each of the service capabilities of the scene in combination with the capability scores corresponding to the user perception capability, the device perception capability and the environment perception capability of the smart home system in the current indoor scene of the user, and uses the obtained weighted scores as the smart capability scores of the smart home system, for example, the capability scores corresponding to the user perception capability, the device perception capability and the environment perception capability of the smart home system are respectively 6, 4 and 8, and meanwhile, the weight coefficients corresponding to the user perception capability, the device perception capability and the environment perception capability of the smart home system are respectively 3, 0.5 and 2, so that the smart capability score of the smart home system is 12.
Therefore, the intelligent ability score of the intelligent home can be calculated and judged better, and the intelligent ability score of the intelligent home system in the current indoor scene of the user can be obtained efficiently and accurately.
Optionally, the determining the smart capability score of the smart home system according to at least one scene service capability of the smart home system includes:
determining a smart capability score of the smart home system based on one or more of user awareness, device awareness, environment awareness, scene discovery, parameter decision making, and automatic control capabilities of the smart home system.
In the above embodiment, as shown in connection with fig. 5, the present application may determine at least one scenario service capability possessed by the smart home system by:
s501: and if the intelligent home system can realize or partially realize the periodic detection of the existence of the user in the indoor scene, determining that the intelligent home system has the user perception capability.
Specifically, the intelligent home system can acquire indoor video images through intelligent home equipment, and detect whether a user exists indoors according to the video images; or, carrying out infrared scanning on the indoor to obtain an indoor infrared image, and detecting whether a user exists in the indoor according to the infrared image; or sending and receiving the returned ultrasonic wave, detecting whether a user exists in the room or not according to the returned ultrasonic wave, and realizing partial user perception or user interaction post-perception; or conditionally realizing the position and action of the sensing part user in the indoor scene; or, under the condition of uninterruptedly realizing the perception of the positions and actions of all users in the indoor scene, the intelligent home system can be determined to have the user perception capability.
S502: and if the intelligent home system can realize or partially realize the periodic acquisition of the scene driving information of at least one intelligent home device, determining that the intelligent home system has the device sensing capability.
In particular, the smart home system may conditionally perceive a partial operational state of at least one smart home device; or conditionally perceiving the running state of at least one smart home device in the indoor scene; alternatively, the smart home system may be determined to have device awareness capabilities in the event that at least one smart home device is operating in an indoor scenario at any time.
S503: and if the intelligent home system can realize or partially realize the detection of the environmental parameters of the indoor scene, determining that the intelligent home system has environmental perception capability.
In particular, environmental parameters of indoor scenes can be perceived by smart home devices or sensor parts in the smart home system; or conditionally perceiving environmental parameters of an outdoor weather environment and an indoor scene; or, in the case of sensing the outdoor weather environment and the environmental parameters of the indoor scene at any time, it may be determined that the smart home system has the environmental sensing capability, where the environmental parameters include temperature and humidity, carbon dioxide concentration, carbon monoxide concentration, oxygen concentration, formaldehyde concentration, and the like.
S504: if the intelligent home system can realize or partially realize that the intelligent home system has the scene discovery capability under the condition that the intelligent wearing equipment of the user detects the physiological parameter information of the user and the indoor scene is configured according to the physiological parameter information.
Specifically, the intelligent home system can detect physiological parameter information of a user through one or more of intelligent wearing equipment of the user, such as a smart watch, smart clothes, smart shoes and a smart hat, and perform manual scene configuration or scene configuration after user interaction according to the physiological parameter information; or conditionally judging the physiological state of the user according to the physiological parameter information and performing automatic scene configuration; or under the condition that the physiological state of the user is automatically judged according to the physiological parameter information and automatic scene configuration is carried out, the intelligent home system can be determined to have the scene discovery capability.
S505: if the smart home system can be implemented or partially implemented to change the operating mode and/or the operating parameters of at least one smart home device according to an indoor scenario, it is determined that the smart home system has a parameter decision capability.
In particular, the intelligent home system can manually configure the working mode and/or the operation parameters of at least one intelligent home device according to indoor scenes; or, endowing the user with corresponding decision-making capability of single round or multiple rounds; or conditionally changing the working mode and/or the operation parameters of at least one intelligent home device according to the indoor scene; or, in the case of automatically changing the working mode and/or the operation parameters of at least one smart home device according to the indoor scene, it may be determined that the smart home system has a parameter decision capability, where the smart home device may be one or more of a fresh air fan, an oxygen generator, a humidifier, a dehumidifier and/or an air conditioner.
S506: if the smart home system can implement or partially implement control of at least one smart home device, it is determined that the smart home system has automatic control capability.
In particular, at least one smart home device may be remotely controlled or scene linked at the smart home system; or, performing remote control or scene linkage capability or message reminding and voice reminding capability on at least one intelligent home device; or the intelligent home system is provided with all scene service functions provided by the intelligent home system in a conditional mode, and can be controlled automatically or correspondingly through user response, and optimal control parameters are realized; or the intelligent home system has all scene service functions provided by the intelligent home system, can automatically and correspondingly control the intelligent home system, and can determine that the intelligent home system has the parameter automatic control capability under the condition of realizing the optimal control parameters.
Therefore, the intelligent capability score of the intelligent home system can be better judged by evaluating the scene capability of the intelligent home system in a multi-dimensional manner, so that the intelligent capability ranking of the intelligent home system can be further judged in a convenient and comprehensive manner.
Optionally, referring to fig. 6, the tuning into the target scene model corresponding to the target smart capability rank of the smart home system, adjusting the smart home device of the smart home system according to the target scene model includes:
s601: scene driving information of each intelligent home device in the intelligent home system is extracted from the target scene model.
In this embodiment of the present application, the server first obtains, according to the target scene model corresponding to the target smart capability ranking, ideal scene driving information that each smart home device of the smart home system needs to possess under the target scene model, where the scene driving information is information that must be generated when the smart home device is in use to execute various sensing, decision or control functions.
S602: and adjusting the working mode and/or the operation parameters of each intelligent home device according to the scene driving information of each intelligent home device so as to enable the intelligent capability ranking of the intelligent home system after adjustment to reach the target intelligent capability ranking.
In this embodiment of the present application, the server further adjusts, according to the scene driving information of each smart home device, the working mode and/or the operating parameter of each smart home device, for example, adjusts the working mode, the timing switch, the air outlet mode and the air outlet temperature of the air conditioner, or adjusts the working mode and/or the operating parameter of each sensor.
Like this, through the scene service ability of the intelligent home system that the target wisdom ability grading corresponds to adjust the scene drive information of intelligent home equipment to can promote the wisdom ability of wisdom family better.
Optionally, referring to fig. 7, the tuning into the target scene model corresponding to the target smart capability rank of the smart home system, adjusting the smart home device of the smart home system according to the target scene model includes:
s701: scene driving information of each intelligent home device in the intelligent home system is extracted from the target scene model.
In this embodiment of the present application, the server first obtains, according to the target scene model corresponding to the target smart capability ranking, ideal scene driving information that each smart home device of the smart home system needs to possess under the target scene model, where the scene driving information is information that must be generated when the smart home device is in use to execute various sensing, decision or control functions.
S702: and generating equipment replacement information of the intelligent home equipment under the condition that the working mode and/or the operation parameters of the intelligent home equipment cannot be adjusted according to the scene driving information.
In this embodiment of the present application, if the server of the present application cannot adjust the working mode and/or the operation parameter of the smart home device according to the scenario driving information, it may be considered that the smart home device has damaged, aged or does not have a specific function, so as to generate device replacement information of the smart home device, where the device replacement information includes information such as a model, a price, a parameter, and a packaging specification of the smart home device that needs to be replaced.
S703: and generating two-dimension code information for purchasing the intelligent household equipment according to the equipment replacement information, so that a user can scan the two-dimension code information through the mobile terminal to enter a page for purchasing the intelligent household equipment and complete purchasing.
In this embodiment of the present application, the server according to the device replacement information generates two-dimensional code information for purchasing smart home devices, and sends the two-dimensional code information to a display screen of the smart home devices or a mobile terminal bound by a user, so that the two-dimensional code information enters a page for purchasing the smart home devices, and purchases are completed after personal information and a receiving address of the user are filled.
Like this, this application is used for purchasing intelligent household equipment's two-dimensional code information through equipment change information generation to when in time reminding user to change equipment, convenience of customers purchases, and prevent that intelligent household equipment does not have the consumptive material to use or the problem of intelligent household equipment self from causing the influence to user's health.
In one specific application of the present application, the smart home system according to the present application may be classified into five smart capability classes, where the score of the smart capability class is less than 5 points, the smart capability class is 0 class; under the condition that the score of the intelligent ability degree is more than or equal to 5 and less than 10, the intelligent ability grade is grade 1; under the condition that the score of the intelligent ability degree is more than or equal to 10 and less than 30, the intelligent ability grade is grade 3; under the condition that the score of the intelligent ability degree is more than or equal to 30 minutes and less than 60 minutes, the intelligent ability grade is grade 4; under the condition that the score of the intelligent capability degree is larger than 60 scores, the intelligent capability level is 5 levels, and the intelligent home system has scene service capability under each level of intelligent capability level specifically as follows:
under the level of 0 intelligent capability, the intelligent home system cannot continuously execute control such as starting or setting of home appliances in the scene service, but has the capability of continuously executing partial targets and event detection and response in the scene service. The 0-level intelligent capability level is not non-intelligent, the 0-level intelligent capability level can sense the environment and provide an alarm, assistance or short-term intervention to assist or remind a user, such as power on, power off, setting mode adjustment and other auxiliary functions, but the 0-level intelligent capability level does not have the functions of target and event detection and response capabilities, such as household appliance energy conservation, prediction of power on, advance reservation of water and the like.
Under the level 1 intelligent capability level, the intelligent home system continuously executes the home appliance startup or setting control in the scene service in the design running condition, and has the capability of partial targets and event detection and response which are suitable for the executed home appliance startup or setting control. Wherein for the level 1 intelligent capability level, the user and the intelligent home system respectively perform part of the scene service, and supervise the behavior of the intelligent home system and perform appropriate response or operation.
Under the level of 2 intelligent capability, the intelligent home system continuously executes the home appliance startup or setting control in the scene service in the design running condition, and has the capability of partial targets and event detection and response which are suitable for the executed home appliance startup or setting control. Wherein for a level 2 level of intelligent capability, the user and the intelligent home system together perform a scenario service and supervise the behavior of the intelligent home system and perform appropriate responses or operations.
At the level of 3 intelligent capability, the intelligent home system continuously performs all scene services within its designed operating conditions. Wherein for the level 3 intelligent capability level, the scenario service takeover user performs scenario service takeover in an appropriate manner.
At the level of 4 intelligent capability, the intelligent home system continuously performs all the scene services and performs scene service takeover within its designed operating conditions. For the 4-level intelligent capability level, when the system sends out a take-over request, if a user does not respond, the system has the capability of automatically reaching the optimal user experience state.
At the level of 5 intelligent capability, the intelligent home system continuously performs all scene services and performs scene service takeover under any condition. When the system sends out a take-over request, the home user does not need to respond, the system has the capability of automatically reaching the optimal user experience state, and the 5-level intelligent capability level has no limit of design operation conditions under the household appliance operable environment.
As shown in fig. 8, an embodiment of the present disclosure provides a management apparatus for a smart home system, including:
a score determining module 801, configured to determine a smart capability score of a smart home system according to at least one scenario service capability provided by the smart home system;
a ranking determining module 802, configured to determine a current smart capability ranking of the smart home system according to the smart capability score and the smart capability ranking list of the smart home system;
A ranking adjustment module 803, configured to determine a target smart capability ranking of the smart home system according to the current smart capability ranking of the smart home system, where the target smart capability ranking is greater than the current smart capability ranking of the smart home system;
the device management module 804 is configured to tune in a target scene model corresponding to a target smart capability ranking of the smart home system, and adjust smart home devices of the smart home system according to the target scene model.
Optionally, the score determination module 801 is further configured to:
acquiring a capability score corresponding to each of the at least one scene service capability;
carrying out average calculation on the capability scores corresponding to all the scene service capabilities, and taking the obtained average score as the intelligent capability score of the intelligent home system; or,
taking the lowest score in the capacity scores corresponding to all the scene service capacities as the intelligent capacity score of the intelligent home system; or,
and carrying out weighted calculation on scores corresponding to all the scene service capabilities according to the weight coefficient corresponding to each scene service capability, and taking the obtained weighted scores as intelligent capability scores of the intelligent home system.
Optionally, the device management module 804 is further configured to:
extracting scene driving information of each intelligent home device in the intelligent home system from the target scene model;
and adjusting the working mode and/or the operation parameters of each intelligent home device according to the scene driving information of each intelligent home device so as to enable the intelligent capability ranking of the intelligent home system after adjustment to reach the target intelligent capability ranking.
Optionally, the device management module 804 is further configured to:
extracting scene driving information of each intelligent home device in the intelligent home system from the target scene model;
generating equipment replacement information of the intelligent home equipment under the condition that the working mode and/or the operation parameters of the intelligent home equipment cannot be adjusted according to the scene driving information;
and generating two-dimension code information for purchasing the intelligent household equipment according to the equipment replacement information, so that a user can scan the two-dimension code information through the mobile terminal to enter a page for purchasing the intelligent household equipment and complete purchasing.
Optionally, the score determination module 801 is further configured to:
determining a smart capability score of the smart home system based on one or more of user awareness, device awareness, environment awareness, scene discovery, parameter decision making, and automatic control capabilities of the smart home system.
According to the management device for the intelligent home system, provided by the embodiment of the disclosure, the intelligent capability score of the intelligent home system is determined according to at least one scene service capability of the intelligent home system, the current intelligent capability ranking of the intelligent home system is determined according to the intelligent capability score and the intelligent capability ranking list of the intelligent home system, so that the intelligent capability level of the intelligent home system in a current indoor scene of a user can be effectively judged, meanwhile, according to the target scene model corresponding to the target intelligent capability ranking of the intelligent home system, intelligent home equipment of the intelligent home system is adjusted according to the target scene model, and the intelligent capability of the intelligent home system is upgraded and perfected.
As shown in connection with fig. 9, an embodiment of the present disclosure provides a management apparatus for a smart home system, including a processor (processor) 900 and a memory (memory) 901. Optionally, the apparatus may also include a communication interface (Communication Interface) 902 and a bus 903. The processor 900, the communication interface 902, and the memory 901 may communicate with each other via the bus 903. The communication interface 902 may be used for information transfer. The processor 900 may call logic instructions in the memory 901 to perform the management method for the smart home system of the above-described embodiment.
Further, the logic instructions in the memory 901 may be implemented in the form of a software functional unit and may be stored in a computer readable storage medium when sold or used as a separate product.
The memory 901 is a computer readable storage medium, and may be used to store a software program, a computer executable program, and program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 900 executes the functional applications and data processing by executing the program instructions/modules stored in the memory 901, i.e., implements the management method for the smart home system in the above-described embodiment.
The memory 901 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for functions; the storage data area may store data created according to the use of the terminal device, etc. Further, the memory 901 may include a high-speed random access memory, and may also include a nonvolatile memory.
The disclosed embodiments provide a smart home system comprising at least one smart home device and a management apparatus for a smart home system as described herein.
The disclosed embodiments provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-described management method for a smart home system.
The disclosed embodiments provide a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the above-described management method for a smart home system.
The computer readable storage medium may be a transitory computer readable storage medium or a non-transitory computer readable storage medium.
Embodiments of the present disclosure may be embodied in a software product stored on a storage medium, including one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of a method according to embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium including: a plurality of media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, randomAccess Memory), a magnetic disk, or an optical disk, or a transitory storage medium.
The above description and the drawings illustrate embodiments of the disclosure sufficiently to enable those skilled in the art to practice them. Other embodiments may involve structural, logical, electrical, process, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. Moreover, the terminology used in the present application is for the purpose of describing embodiments only and is not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a," "an," and "the" (the) are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, when used in this application, the terms "comprises," "comprising," and/or "includes," and variations thereof, mean that the stated features, integers, steps, operations, elements, and/or components are present, but that the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof is not precluded. Without further limitation, an element defined by the phrase "comprising a smart home" does not exclude the presence of additional identical elements in a process, method or apparatus comprising said element. In this context, each embodiment may be described with emphasis on the differences from the other embodiments, and the same similar parts between the various embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method sections disclosed in the embodiments, the description of the method sections may be referred to for relevance.
Those of skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. The skilled artisan may use different methods for each particular application to achieve the described functionality, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the embodiments disclosed herein, the disclosed methods, articles of manufacture (including but not limited to devices, apparatuses, etc.) may be practiced in other ways. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the units may be merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form. The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to implement the present embodiment. In addition, each functional unit in the embodiments of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than that disclosed in the description, and sometimes no specific order exists between different operations or steps. For example, two consecutive operations or steps may actually be performed substantially in parallel, they may sometimes be performed in reverse order, which may be dependent on the functions involved. Each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (6)
1. A management method for an intelligent home system, comprising:
determining a smart capability score of a smart home system according to at least one scene service capability of the smart home system; determining a smart capability score of the smart home system based on at least one scenario service capability possessed by the smart home system, comprising: determining a smart capability score of the smart home system according to one or more of user awareness capability, device awareness capability, environment awareness capability, scene discovery capability, parameter decision capability and automatic control capability of the smart home system;
determining the current intelligent capability ranking of the intelligent home system according to the intelligent capability score and the intelligent capability ranking list of the intelligent home system; the intelligent capability ranks of the intelligent home system may be divided into multiple intelligent capability ranks, the lower the score of the intelligent capability score, the lower the intelligent capability rank; the higher the score of the intellectual ability score, the higher the intellectual ability ranking;
determining a target intelligent capability ranking of the intelligent home system according to the current intelligent capability ranking of the intelligent home system, wherein the target intelligent capability ranking is larger than the current intelligent capability ranking of the intelligent home system;
Tuning in a target scene model corresponding to the target intelligent capability rank of the intelligent home system, and adjusting intelligent home equipment of the intelligent home system according to the target scene model; the target scene model is a plurality of scene service capabilities which the intelligent home system should have under the ranking of the target intelligent capabilities;
the adjusting the target scene model corresponding to the target intelligent capability rank of the intelligent home system, adjusting the intelligent home equipment of the intelligent home system according to the target scene model, comprises the following steps:
extracting scene driving information of each intelligent home device in the intelligent home system from the target scene model;
according to the scene driving information of each intelligent home device, adjusting the working mode and/or the operation parameters of each intelligent home device so as to enable the intelligent capability ranking of the intelligent home system after adjustment to reach the target intelligent capability ranking;
at least one context service capability possessed by the smart home system is determined by:
if the intelligent home system can realize or partially realize the periodic detection of the existence of the user in the indoor scene, determining that the intelligent home system has the user perception capability;
If the intelligent home system can realize or partially realize the periodic acquisition of the scene driving information of at least one intelligent home device, determining that the intelligent home system has the device sensing capability;
if the intelligent home system can realize or partially realize the detection of the environmental parameters of the indoor scene, determining that the intelligent home system has environmental perception capability;
if the intelligent home system can realize or partially realize that the intelligent home system has the scene discovery capability under the condition that the intelligent wearing equipment of the user detects physiological parameter information of the user and performs scene configuration on an indoor scene according to the physiological parameter information;
if the intelligent home system can realize or partially realize changing the working mode and/or the operation parameters of at least one intelligent home device according to the indoor scene, determining that the intelligent home system has the parameter decision-making capability;
if the smart home system can implement or partially implement control of at least one smart home device, it is determined that the smart home system has automatic control capability.
2. The method of claim 1, wherein determining a smart-capability score for the smart-home system based on at least one context service capability of the smart-home system comprises:
Acquiring a capability score corresponding to each of the at least one scene service capability;
carrying out average calculation on the capability scores corresponding to all the scene service capabilities, and taking the obtained average score as the intelligent capability score of the intelligent home system; or,
taking the lowest score in the capacity scores corresponding to all the scene service capacities as the intelligent capacity score of the intelligent home system; or,
and carrying out weighted calculation on scores corresponding to all the scene service capabilities according to the weight coefficient corresponding to each scene service capability, and taking the obtained weighted scores as intelligent capability scores of the intelligent home system.
3. The method of claim 1, wherein tuning into a target scene model corresponding to a target smart capability rank of the smart home system adjusts smart home devices of the smart home system according to the target scene model, further comprising:
generating equipment replacement information of the intelligent home equipment under the condition that the working mode and/or the operation parameters of the intelligent home equipment cannot be adjusted according to the scene driving information;
And generating two-dimension code information for purchasing the intelligent household equipment according to the equipment replacement information, so that a user can scan the two-dimension code information through the mobile terminal to enter a page for purchasing the intelligent household equipment and complete purchasing.
4. A management device for a smart home system, comprising:
the score determining module is used for determining a smart capability score of the smart home system according to at least one scene service capability of the smart home system;
the score determination module is further configured to: determining a smart capability score of the smart home system according to one or more of user awareness capability, device awareness capability, environment awareness capability, scene discovery capability, parameter decision capability and automatic control capability of the smart home system;
the ranking determining module is used for determining the current intelligent capability ranking of the intelligent home system according to the intelligent capability score and the intelligent capability ranking list of the intelligent home system; the intelligent capability ranks of the intelligent home system may be divided into multiple intelligent capability ranks, the lower the score of the intelligent capability score, the lower the intelligent capability rank; the higher the score of the intellectual ability score, the higher the intellectual ability ranking;
The ranking adjustment module is used for determining a target intelligent capability ranking of the intelligent home system according to the current intelligent capability ranking of the intelligent home system, wherein the target intelligent capability ranking is larger than the current intelligent capability ranking of the intelligent home system;
the device management module is used for calling in a target scene model corresponding to the target intelligent capability rank of the intelligent home system, and adjusting intelligent home devices of the intelligent home system according to the target scene model; the target scene model is a plurality of scene service capabilities which the intelligent home system should have under the ranking of the target intelligent capabilities;
the device management module is further configured to:
extracting scene driving information of each intelligent home device in the intelligent home system from the target scene model;
according to the scene driving information of each intelligent home device, adjusting the working mode and/or the operation parameters of each intelligent home device so as to enable the intelligent capability ranking of the intelligent home system after adjustment to reach the target intelligent capability ranking;
at least one context service capability possessed by the smart home system is determined by:
If the intelligent home system can realize or partially realize the periodic detection of the existence of the user in the indoor scene, determining that the intelligent home system has the user perception capability;
if the intelligent home system can realize or partially realize the periodic acquisition of the scene driving information of at least one intelligent home device, determining that the intelligent home system has the device sensing capability;
if the intelligent home system can realize or partially realize the detection of the environmental parameters of the indoor scene, determining that the intelligent home system has environmental perception capability;
if the intelligent home system can realize or partially realize that the intelligent home system has the scene discovery capability under the condition that the intelligent wearing equipment of the user detects physiological parameter information of the user and performs scene configuration on an indoor scene according to the physiological parameter information;
if the intelligent home system can realize or partially realize changing the working mode and/or the operation parameters of at least one intelligent home device according to the indoor scene, determining that the intelligent home system has the parameter decision-making capability;
if the smart home system can implement or partially implement control of at least one smart home device, it is determined that the smart home system has automatic control capability.
5. A management device for a smart home system comprising a processor and a memory storing program instructions, characterized in that the processor is configured to execute the management method for a smart home system according to any one of claims 1 to 4 when executing the program instructions.
6. A smart home system comprising at least one smart home device and the management apparatus for a smart home system as claimed in claim 5.
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