CN109991846A - A kind of apparatus control method, control equipment and storage medium - Google Patents
A kind of apparatus control method, control equipment and storage medium Download PDFInfo
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- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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Abstract
The invention discloses a kind of apparatus control method, control equipment and storage mediums, wherein the described method includes: getting the identity information of target object；Obtain the initial environment data of the target object local environment；Wherein, the initial environment data are at least used to characterize at least one state of target object local environment；The environmental data of identity information, local environment based on the target object, it determines for the adjustment information of at least one of the local environment of target object terminal device, the ambient condition after being adjusted is changed to the initial environment state of the target object local environment.
Description
Technical field
The present invention relates to the information processing technologies more particularly to a kind of apparatus control method, control equipment in the communications field
And storage medium.
Background technique
With the rapid development of science and technology, the hardware device now in life is more and more intelligent, realizes between equipment
Intelligent interaction becomes the emphasis of research.Now the most common mode of intelligent interaction is based on unalterable rules (if- between devices
Then form), as one vehicle intelligent interactive device of scheme control method and system in the rule mentioned: after gate inhibition's unlock,
Vehicle intelligent interactive device can be just waken up.These rules are all identical, not personalized design for every user.
Existing device intelligence interaction is divided into two kinds, and one is the intelligent interactions between people and equipment, and one is based on solid
Interaction between the equipment of set pattern then.Wherein, the interaction between people and equipment needs the participation of people, people to equipment issue voice or
The control commands such as person's movement.Although this method simplifies people to the control process of equipment to a certain extent, however, there remains
The participation of people, and can not achieve the interaction between equipment and equipment.Device intelligence interaction based on unalterable rules refers to people
The operation rules between equipment is designed in advance, when meeting certain rule, certain equipment are just started to work.But due to not
Same user has different behavioural habits or the individualized experience to things, therefore this rule-based equipment interaction, right
The setting with no personalization for user, cannot meet the individual requirement of every user.And not to the friendship between equipment
It is mutually packaged, will affect the use of whole system when there is new equipment to be added or leave.
Summary of the invention
It is a primary object of the present invention to propose apparatus control method, control equipment and storage medium, it is intended to solve existing
The above problem present in technology.
To achieve the above object, the present invention provides a kind of apparatus control method, which comprises
Get the identity information of target object；
Obtain the initial environment data of the target object local environment；Wherein, the initial environment data are at least used for
Characterize at least one state of target object local environment；
The environmental data of identity information, local environment based on the target object determines and is directed to the target pair
The adjustment information of at least one of local environment of elephant terminal device, to the initial environment shape of the target object local environment
State is changed the ambient condition after being adjusted.
The present invention provides a kind of control equipment, which is characterized in that the control equipment includes:
Information acquisition unit, for getting the identity information of target object；Obtain the target object local environment
Initial environment data；Wherein, the initial environment data are at least used to characterize at least one state of target object local environment；
Information process unit, for the environmental data of identity information, local environment based on the target object, really
Surely for the adjustment information of at least one of the local environment of target object terminal device, to locating for the target object
The initial environment state of environment is changed the ambient condition after being adjusted.
The present invention provides a kind of control equipment, which is characterized in that the control equipment includes:
Communication interface, for getting the identity information of target object；Obtain the initial of the target object local environment
Environmental data；Wherein, the initial environment data are at least used to characterize at least one state of target object local environment；
Processor, for the environmental data of identity information, local environment based on the target object, determination is directed to
The adjustment information of at least one of the local environment of target object terminal device, to the target object local environment
Initial environment state is changed the ambient condition after being adjusted.
The present invention provides a kind of control equipment, comprising: processor and for storing the calculating that can be run on a processor
The memory of machine program,
Wherein, the step of processor is for executing preceding method when running the computer program.
The present invention provides a kind of storage medium, is stored thereon with computer program, wherein the computer program is by processor
The step of preceding method is realized when execution.
A kind of apparatus control method proposed by the present invention, control equipment and storage medium, by target user and its locating
The environmental parameter of environment is adjusted, so that target user's local environment at least one terminal device to determine how
It changes.To obtain providing the processing mode of different control programs for different users, so, it is possible so that being directed to
The control of terminal device is more intelligent, and is more in line with the demand of individual subscriber.
Detailed description of the invention
Fig. 1 is apparatus control method of embodiment of the present invention flow diagram 1；
Fig. 2 is model construction of embodiment of the present invention schematic diagram；
Fig. 3 is apparatus control method of embodiment of the present invention flow diagram 2；
Fig. 4 is that the embodiment of the present invention controls equipment composition structural schematic diagram 1；
Fig. 5 is information process unit of embodiment of the present invention functional schematic；
Fig. 6 is that the embodiment of the present invention controls equipment composition structural schematic diagram 2.
Specific embodiment
Invention is further described in detail in the following with reference to the drawings and specific embodiments.
Embodiment one,
The embodiment of the invention provides a kind of apparatus control methods, as shown in Figure 1, comprising:
Step 101: getting the identity information of target object；
Step 102: obtaining the initial environment data of the target object local environment；Wherein, the initial environment data
At least for characterizing at least one state of target object local environment；
Step 103: the environmental data of identity information, local environment based on the target object determines and is directed to institute
The adjustment information for stating at least one of the local environment of target object terminal device, to the first of the target object local environment
Beginning ambient condition is changed the ambient condition after being adjusted.
Explanation is needed further exist for, before executing abovementioned steps 101, the present embodiment also provides foundation for target pair
A kind of processing mode of the operation model of elephant, specifically:
Obtain the historical operating data of the target object；Wherein, the historical operating data includes institute in preset duration
State adjustment information and the target object adjustment for stating target object and at least one terminal device are described at least one whole
When end equipment terminal device corresponding history environment parameter in the environment；
State adjustment information and the history ring based at least one of historical operating data terminal device
Border parameter determines operation model corresponding with the target object.
Wherein, the target object can be user, and user can be any people for being able to enter its corresponding environment,
It can certainly be anyone that environment where it can be managed, for example, can only retain use in the house of user A
Operation model corresponding to the A of family can also retain user A and its household user B, along with behaviour corresponding to its good friend user C
Make model.It can be voluntarily configured by user.
In addition, the terminal device can be for that can receive the smart machine for controlling information, for example, smart home, intelligence
Lamp, intelligent curtain, intelligent switch, intelligent water heater, intelligent electric cooker, intelligent fume exhauster, intelligent kitchen etc..It is understood that
It is more intelligent terminals can also occur, the present embodiment can be able to carry out setting for whole smart machines.
The state adjustment information of the terminal device can be directed to a certain or certain several intelligent terminal for target object,
The adjustment carried out under corresponding environment.
For example, user A goes home at night, prepare overtime work at 7 points, then at this point it is possible to the light in study is adjusted, tune
It is whole to arrive object brightness, also, user A keeps this operating habit to reach certain preset duration (for example, in 1 month or 1
Within week), then can be carried out based on the operation that user carries out in this certain preset duration and its corresponding environmental parameter
Record is then based on these contents and determines that target object is directed to the operation model that the smart machine carries out.This is for a kind of intelligence
The operation model of energy terminal.
For another example, at 5 points in afternoon enters parlor to user A in winter, at this point, user A can open curtain and open family
Electric light guarantees that the light in parlor reaches certain requirement, then, at this point, will be based on current time, temperature, humidity etc.
Environmental parameter and the state of intelligent curtain, intelligent electric lamp carry out the foundation of operation model.
It is also to be appreciated that aforementioned operation model, can be used for describing the state adjustment of one or more terminal devices
Information and its corresponding history environment parameter.
History environment parameter may include having: at least one sensing equipment of target object local environment detects
Parameter sensing；
It can also include the detection data information of at least one state detection unit on herein.Wherein, the state
Detection unit can be the detection unit for certain specific data, for example, can be time, humidity, temperature etc..
It should be pointed out that the present embodiment can be applied to many scenes, such as Intelligent household scene, smart meeting room scene
Deng the specific implementation process of the present embodiment by taking Intelligent household scene as an example, will be analyzed below.
Firstly, being directed to the building of ontology operation model, the building of ontology knowledge model is mainly abstract including concept hierarchy
And two steps of the association of relation on attributes.Fig. 2 is namely based on the smart home ontology knowledge model of the two steps design.
(1) concept hierarchy is abstract
First to smart machine, sensor, event, environmental information and the demand for services being related in smart home field
Deng the abstract of progress concept hierarchy, it is abstracted as specific concept, alternatively referred to as class.Such as by temperature sensor, Intelligent light sensing
Equipment etc. is abstracted as " sensor " concept upwards, is " smart machine " concept by device abstracts such as intelligent lighting, intelligent air conditions.
(2) relation on attributes is associated with
The method also includes: at least one terminal device is determined, at least one parameter sensing, and/or at least
A kind of incidence relation between detection data information.
It specifically, is exactly that will carry out relation on attributes between concept and concept and concept and attribute value to be associated with.Attribute closes
System includes object properties and data attribute.Incidence relation between abstract concept (class) is known as object properties, and concept (class) has
Attribute value be known as data attribute.As having certain object properties relationship between " Intelligent light sensing equipment " and " sensor ", i.e.,
" Intelligent light sensing equipment " is the subclass (is-a relationship) of " sensor "；Have between " environmental data " and " Intelligent light sensing equipment " and surveys
The object properties relationship (measuredBy) of amount, intelligent lighting can be associated with " luminous intensity " in measurement " environmental data ".
Intelligent lamp has data attribute value " closing " or " unlatching ", and the data attribute of luminous intensity is current light intensity value.
Then regular design is made inferences:
It is abstracted based on concept hierarchy and is associated with two steps with relation on attributes, an initial smart home ontology model is
It establishes, includes concept and clearly defined incidence relation.In addition to this, it is also necessary to it designs inference rule and carries out model reasoning,
To instruct the interoperability and intelligent decision between equipment.
Inference rule citing:
[rule1:(? a rdf:type fa:Room) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'weakLight') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? d fa:controlledBy? c) (? d rdf:type fa:SmartLight) (? d fa:hasValue'
0')-> (? c fa:hasValue'open')]；
Inference rule rule1 is meant that: if (type of a is Room) and (the stateful b of a) (type of b is light to and
State) (a has control event c) and (type of c is a light event) and (d quilt to and (it is " light is weak " that b, which has a value) and
C control) and (type of d is intelligent lamp) and (d current value is " 0 ", and " 0 " represents closed state)-> (c current value is
" opening ")；
Simply say and be exactly, when a particular room light is weak, and room etc. when being in off state, at this moment,
We should reasoning appear in the lamp that turn on this room, increase indoor light intensity.
[rule2:(? a rdf:type fa:MeetingRoom) (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? c fa:hasValue'open') (? d fa:controlledBy? c) (? d rdf:type fa:
SmartLight) (? d fa:hasService? e) (? e fa:hasServiceType'set') (? e fa:
HasServiceEndPoint? f) strConcat (? f, '/1',? g)-> (? e fa:hasServiceURL? g)]；
This rule of rule2 is meant that: when the value of the control event of light is " opening ", the service for controlling light will
The control command for sending an opening lamp, the lamp in room is opened.
The present embodiment part list of rules is as follows:
[rule3:(? a rdf:type fa:MeetingRoom) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'weakLight') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? d fa:controlledBy? c) (? d rdf:type fa:SmartLight) (? d fa:hasValue '
1') -> (? c fa:hasValue'undo')]；
[rule4:(? a rdf:type fa:MeetingRoom) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'hardLight') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? d fa:controlledBy? c) (? d rdf:type fa:SmartLight) (? d fa:hasValue '
0') -> (? c fa:hasValue'undo')]；
[rule5:(? a rdf:type fa:MeetingRoom) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'hardLight') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? d fa:controlledBy? c) (? d rdf:type fa:SmartLight) (? d fa:hasValue '
1') -> (? c fa:hasValue'off')]；
[rule6:(? a rdf:type fa:MeetingRoom) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'suitable') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) -> (? c fa:hasValue'undo')].
It, can actually be for plurality of devices and its corresponding more it is to be appreciated that aforementioned several rules are merely illustrative
Kind environmental parameter carries out regular foundation.
Finally, the personalization preferences of study user (target object), select the inference rule of triggering:
(1) learn user individual preference
Different people has different personalized preferences and behavioural habits, if some people are more sensitive to light, and has
A little people are insensitive to light.It would therefore be desirable to learn user's using machine learning (Machine Learning) algorithm
Personalization preferences carry out semantics extraction to the personalization preferences of user.Such as: learning by machine learning algorithm, Xiao Ming's is " suitable
Preferably " light intensity is (150~260), and light intensity is " light is weak " lower than 150 people, and being higher than 260 is " light intensity "；" suitable " light intensity of user A is
(200~300), light intensity are " light is weak " lower than 200, and being higher than 300 is " light intensity ".Finally to Xiao Ming and user A to the individual character of light
Allelopathic is extracted concepts such as " light intensity " " light is weak " " suitable " by semantics extraction is carried out.
(2) inference rule of selection triggering
Semantics extraction has been carried out by talking about preference to user individual, has chosen the inference rule for needing to trigger.Such as a room
In values of light be 180, when Xiao Ming enter this room when, by machine learning method learn out current light value for Xiao Ming
For be " suitable ", trigger rule6；When user A enters this room, learn current light value out is for user A
" light is weak " triggers rule1 or rule3 according to the open state of current indoor intelligent lamp.
Service execution is carried out again and equipment controls.
Service concept has been added in ontology knowledge model by the present embodiment, and service is that the operating process to equipment carries out
Encapsulation, access and control equipment that can be unified, makes interoperability enhanced convenience and the intelligence between equipment.Service is generally divided into
Two kinds, one is aware services, and one is controls to service.Aware services mainly control the acquisition of the data acquisition equipments such as sensor
Current environment data provide the foundation of study and selection for user individual study and regular choice phase.Control service is main
It is that control equipment is gone to change current ambient condition according to the decision of ontology knowledge model and inference rule, so that ambient condition accords with
The individual requirement for sharing family, makes it feel comfortable.
On how to use rule that can carry out as described below:
The environmental data of the identity information based on the target object, local environment determines and is directed to the mesh
Mark the adjustment information of at least one of the local environment of object terminal device, comprising:
Identity information, the environmental data and the corresponding operation mould of the target object based on the target object
Type determines the adjustment information at least one of the local environment of target object terminal device.
That is, after the operation model of target object has been determined, the ring that can be presently according to target user
Border data, which determine how, is adjusted the terminal device in its local environment.
Further, the initial environment data for obtaining the target object local environment, comprising:
Pass through at least one of target object local environment sensing equipment and/or at least one state-detection list
Member obtains at least one parameter sensing, and/or at least one detection data information；
Based at least one parameter sensing and/or at least one detection data information, the target object institute is determined
Locate the initial environment parameter of environment.
The present embodiment proposes a kind of device intelligence interactive system based on individualized learning, which is based on ontology knowledge
Model has semantic information abundant, and has learnt the preference of user individual using machine learning algorithm, and to user's
Personalization preferences have carried out conceptual abstraction, according to abstract preference conceptual choice inference rule, so as to according to different user
Personalization preferences realize different equipment interoperability.The present embodiment realizes the mutual friendship between equipment based on ontology simultaneously
Mutually, by the interactive process between equipment, ambient condition and the current working condition of equipment can be comprehensively considered, equipment is done
The control decision of more accurate intelligence out.In addition to this, service concept has also been added in ontology knowledge model by we, to setting
Standby execution and control interaction is encapsulated, and is encapsulated and is serviced for aware services and control, is encapsulated by service, Ke Yitong
One access and control equipment, it is different without the concern for the interface equal difference of equipment, it, will not shadow when there is equipment to be added or leave
Ring the use of the system, interoperability enhanced convenience and intelligence between the equipment made.
Specific execution process such as Fig. 3 of device intelligence interactive system based on individualized learning, basic implementation process are lifted
Under such as:
(1) service of all smart machines and sensors association in room is inquired, smart machine service goes to obtain intelligent set
Standby current working condition, while sensor-service trigger sensor monitors environment and collects environmental data, as intelligent lamp is associated with
The current working condition of service acquisition intelligent lamp, and return；The associated light sensation service trigger Intelligent light sensing of Intelligent light sensing equipment
Equipment detects light intensity in room, and is collected to current light intensity data, and the value as service returns；
(2) service return value, the environmental data example in more new model are utilized.Such as, intelligent lamp service is returned when headlight
Working condition is " off ", and it is 180 that light sensation service, which returns to the values of light in current room, then updates intelligent lamp in ontology model
Data attribute value be " off ", the data attribute values of photosensitive sensors is current values of light 180.
(3) environmental data based on history, user information learn user individual preference using machine learning algorithm, and
Conceptual abstraction has been carried out to the personalization preferences of user.Current ambient condition is judged according to the environmental data of current collection.
Such as, current light limit value is 180, and for user user A, current ambient condition is " light is weak ".Wherein, user information its
Refer to the behavior of the user's history in fact, as light condition be in what situations he turned off the light, he carries out in what situations
It turns on light；He has opened air-conditioning under what state of temperature, what temperature ShiShimonoseki is air-conditioning.The acquisition of these user informations is exactly first
After first passing through identity identifying technology confirmation user identity, recorded by equipment such as intelligent lamp, air-conditioning, light sensor and air-conditionings
's.
(4) rule based on design and updated ontology carry out model reasoning using Jena inference machine and rule select.
Wherein, updated ontology, which refers to, carries out the part attribute value in Fig. 2 in ontology knowledge model according to current ambient condition
It updates.
Such as, for user A, current ambient conditions are " light is weak ", and can obtain currently from updated ontology
The working condition of intelligent lamp is " off ", and the current working status for then integrating current ambient conditions and equipment carries out regular choosing
Select and make intelligent control decision.
(5) control equipment is gone to change current ambient condition according to the decision of ontology knowledge model and inference rule, so that
Ambient condition meets the individual requirement of user, it is made to feel comfortable.
Meanwhile by the acquisition of environmental data, equipment working state, the links such as the update of model and Service controll are real
The mutual interaction between equipment is showed, has comprehensively considered ambient condition and equipment current state, so that our scheme is more
Add intelligence.
The mutual interaction of equipment is exemplified below in light adjustment process:
When user A enters room, light intensity in Intelligent light sensing equipment associated service trigger photosensitive sensors acquisition room
Angle value, such as 180, the current working condition of the associated service acquisition intelligent curtain of intelligent curtain, such as closed state.Pass through service pair
The return value of luminous intensity and intelligent lamp state updates ontology, so that ontology stores current environmental data and equipment state.Root
Learn A people's preference categories model of user out according to machine learning algorithm, at this time 180 light intensity value for user A compared with
Secretly, model reasoning is carried out according to the closed state of darker at this time ambient condition and intelligent curtain, rule is selected and made and beats
The decision of windowing curtain.
Curtain control service will control intelligent curtain opening, and photosensitive sensors sense is supervised in real time during curtain is opened
The variation for surveying indoor light intensity updates data value into ontology data model.During being opened with intelligent curtain, room
Interior light constantly enhances, when the values of light that sensor measures reach user A it is comfortable under the conditions of, pass through rule selection and update
Ontology afterwards makes the decision of control equipment again.Continue to open by the control Service controll curtain stopping of intelligent curtain.
This process realizes the mutual interaction between photosensitive sensors and intelligent curtain, controls the degree that intelligent curtain is opened,
Keep indoor light more comfortable.Rather than the simple order for sending opening curtain, curtain is fully opened, window may be fully opened
When curtain, light is stronger, cannot not reach the requirement of user preference.
The device intelligence interactive system based on individualized learning that present applicant proposes a kind of, by constructing ontology knowledge model
To carry out equipment, event, environment etc. the abstract and relationship of conceptual level；Based on ontology knowledge model, inference rule is designed
Model reasoning is carried out, to instruct the interoperability and intelligent decision between equipment；Since different user has different personalizations
Preference, it is therefore desirable to learn the personalization preferences of user using machine learning algorithm, and the personalization preferences of user are carried out
Conceptual abstraction, realizes the selection of inference rule, to realize personalized equipment interactive system；Meanwhile by environmental data,
The acquisition of equipment working state, the update of model, the links such as rule-based reasoning and Service controll realize the intelligence between equipment
Interaction, has comprehensively considered ambient condition and equipment current state, so that our scheme is more intelligent.In addition to this,
The present embodiment also encapsulates the execution of equipment and control interaction, is encapsulated and services for aware services and control, passes through
Packing service, access that can be unified and control equipment, without the concern for the difference of the interface of equipment, when there is equipment to be added or
When leaving, the use of the system will not be influenced, so that interoperability enhanced convenience and intelligence between equipment.
As it can be seen that by using above scheme, it will be able to by target user and its environmental parameter of local environment, to determine
How to be adjusted at least one terminal device, so that target user's local environment changes.To be directed to
Different users provides the processing mode of different control programs, so, it is possible so that being directed to the control more intelligence of terminal device
Can, and it is more in line with the demand of individual subscriber.
Embodiment two,
The embodiment of the invention provides a kind of control equipment, as shown in Figure 4, comprising:
Information acquisition unit 41, for getting the identity information of target object；Obtain the target object local environment
Initial environment data；Wherein, the initial environment data are at least used to characterize at least one shape of target object local environment
State；
Information process unit 42, for the environmental data of identity information, local environment based on the target object,
The adjustment information at least one of the local environment of target object terminal device is determined, to the target object institute
The initial environment state of place's environment is changed the ambient condition after being adjusted.
Explanation is needed further exist for, information acquisition unit 41 obtains the historical operating data of the target object；Its
In, the historical operating data includes that the state of the target object and at least one terminal device, which adjusts, to be believed in preset duration
Breath and the target object when adjusting at least one terminal device terminal device institute in the environment corresponding to history ring
Border parameter；
Information process unit 42, for the state adjustment based at least one of historical operating data terminal device
Information and the history environment parameter determine operation model corresponding with the target object.
Wherein, the target object can be user, and user can be any people for being able to enter its corresponding environment,
It can certainly be anyone that environment where it can be managed, for example, can only retain use in the house of user A
Operation model corresponding to the A of family can also retain user A and its household user B, along with behaviour corresponding to its good friend user C
Make model.It can be voluntarily configured by user.
In addition, the terminal device can be for that can receive the smart machine for controlling information, for example, smart home, intelligence
Lamp, intelligent curtain, intelligent switch, intelligent water heater, intelligent electric cooker, intelligent fume exhauster, intelligent kitchen etc..It is understood that
It is more intelligent terminals can also occur, the present embodiment can be able to carry out setting for whole smart machines.
The state adjustment information of the terminal device can be directed to a certain or certain several intelligent terminal for target object,
The adjustment carried out under corresponding environment.
For example, user A goes home at night, prepare overtime work at 7 points, then at this point it is possible to the light in study is adjusted, tune
It is whole to arrive object brightness, also, user A keeps this operating habit to reach certain preset duration (for example, in 1 month or 1
Within week), then can be carried out based on the operation that user carries out in this certain preset duration and its corresponding environmental parameter
Record is then based on these contents and determines that target object is directed to the operation model that the smart machine carries out.This is for a kind of intelligence
The operation model of energy terminal.
For another example, at 5 points in afternoon enters parlor to user A in winter, at this point, user A can open curtain and open family
Electric light guarantees that the light in parlor reaches certain requirement, then, at this point, will be based on current time, temperature, humidity etc.
Environmental parameter and the state of intelligent curtain, intelligent electric lamp carry out the foundation of operation model.
It is also to be appreciated that aforementioned operation model, can be used for describing the state adjustment of one or more terminal devices
Information and its corresponding history environment parameter.
History environment parameter may include having: at least one sensing equipment of target object local environment detects
Parameter sensing；
It can also include the detection data information of at least one state detection unit on herein.Wherein, the state
Detection unit can be the detection unit for certain specific data, for example, can be time, humidity, temperature etc..
It should be pointed out that the present embodiment can be applied to many scenes, such as Intelligent household scene, smart meeting room scene
Deng the specific implementation process of the present embodiment by taking Intelligent household scene as an example, will be analyzed below.
Firstly, being directed to the building of ontology operation model, the building of ontology knowledge model is mainly abstract including concept hierarchy
And two steps of the association of relation on attributes.Fig. 2 is namely based on the smart home ontology knowledge model of the two steps design.
(1) concept hierarchy is abstract
First to smart machine, sensor, event, environmental information and the demand for services being related in smart home field
Deng the abstract of progress concept hierarchy, it is abstracted as specific concept, alternatively referred to as class.Such as by temperature sensor, Intelligent light sensing
Equipment etc. is abstracted as " sensor " concept upwards, is " smart machine " concept by device abstracts such as intelligent lighting, intelligent air conditions.
(2) relation on attributes is associated with
The method also includes: at least one terminal device is determined, at least one parameter sensing, and/or at least
A kind of incidence relation between detection data information.
It specifically, is exactly that will carry out relation on attributes between concept and concept and concept and attribute value to be associated with.Attribute closes
System includes object properties and data attribute.Incidence relation between abstract concept (class) is known as object properties, and concept (class) has
Attribute value be known as data attribute.As having certain object properties relationship between " Intelligent light sensing equipment " and " sensor ", i.e.,
" Intelligent light sensing equipment " is the subclass (is-a relationship) of " sensor "；Have between " environmental data " and " Intelligent light sensing equipment " and surveys
The object properties relationship (measuredBy) of amount, intelligent lighting can be associated with " luminous intensity " in measurement " environmental data ".
Intelligent lamp has data attribute value " closing " or " unlatching ", and the data attribute of luminous intensity is current light intensity value.
Then regular design is made inferences:
It is abstracted based on concept hierarchy and is associated with two steps with relation on attributes, an initial smart home ontology model is
It establishes, includes concept and clearly defined incidence relation.In addition to this, it is also necessary to it designs inference rule and carries out model reasoning,
To instruct the interoperability and intelligent decision between equipment.
Inference rule citing:
[rule1:(? a rdf:type fa:Room) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'weakLight') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? d fa:controlledBy? c) (? d rdf:type fa:SmartLight) (? d fa:hasValue'
0')-> (? c fa:hasValue'open')]；
Inference rule rule1 is meant that: if (type of a is Room) and (the stateful b of a) (type of b is light to and
State) (a has control event c) and (type of c is a light event) and (d quilt to and (it is " light is weak " that b, which has a value) and
C control) and (type of d is intelligent lamp) and (d current value is " 0 ", and " 0 " represents closed state)-> (c current value is
" opening ")；
Simply say and be exactly, when a particular room light is weak, and room etc. when being in off state, at this moment,
We should reasoning appear in the lamp that turn on this room, increase indoor light intensity.
[rule2:(? a rdf:type fa:MeetingRoom) (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? c fa:hasValue'open') (? d fa:controlledBy? c) (? d rdf:type fa:
SmartLight) (? d fa:hasService? e) (? e fa:hasServiceType'set') (? e fa:
HasServiceEndPoint? f) strConcat (? f, '/1',? g)-> (? e fa:hasServiceURL? g)]；
This rule of rule2 is meant that: when the value of the control event of light is " opening ", the service for controlling light will
The control command for sending an opening lamp, the lamp in room is opened.
The present embodiment part list of rules is as follows:
[rule3:(? a rdf:type fa:MeetingRoom) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'weakLight') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? d fa:controlledBy? c) (? d rdf:type fa:SmartLight) (? d fa:hasValue '
1') -> (? c fa:hasValue'undo')]；
[rule4:(? a rdf:type fa:MeetingRoom) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'hardLight') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? d fa:controlledBy? c) (? d rdf:type fa:SmartLight) (? d fa:hasValue '
0') -> (? c fa:hasValue'undo')]；
[rule5:(? a rdf:type fa:MeetingRoom) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'hardLight') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? d fa:controlledBy? c) (? d rdf:type fa:SmartLight) (? d fa:hasValue '
1') -> (? c fa:hasValue'off')]；
[rule6:(? a rdf:type fa:MeetingRoom) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'suitable') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) -> (? c fa:hasValue'undo')].
It, can actually be for plurality of devices and its corresponding more it is to be appreciated that aforementioned several rules are merely illustrative
Kind environmental parameter carries out regular foundation.
Finally, the personalization preferences of study user (target object), select the inference rule of triggering:
(1) learn user individual preference
Different people has different personalized preferences and behavioural habits, if some people are more sensitive to light, and has
A little people are insensitive to light.It would therefore be desirable to learn user's using machine learning (Machine Learning) algorithm
Personalization preferences carry out semantics extraction to the personalization preferences of user.Such as: learning by machine learning algorithm, Xiao Ming's is " suitable
Preferably " light intensity is (150~260), and light intensity is " light is weak " lower than 150 people, and being higher than 260 is " light intensity "；" suitable " light intensity of user A is
(200~300), light intensity are " light is weak " lower than 200, and being higher than 300 is " light intensity ".Finally to Xiao Ming and user A to the individual character of light
Allelopathic is extracted concepts such as " light intensity " " light is weak " " suitable " by semantics extraction is carried out.
(2) inference rule of selection triggering
Semantics extraction has been carried out by talking about preference to user individual, has chosen the inference rule for needing to trigger.Such as a room
In values of light be 180, when Xiao Ming enter this room when, by machine learning method learn out current light value for Xiao Ming
For be " suitable ", trigger rule6；When user A enters this room, learn current light value out is for user A
" light is weak " triggers rule1 or rule3 according to the open state of current indoor intelligent lamp.
Service execution is carried out again and equipment controls.
Service concept has been added in ontology knowledge model by the present embodiment, and service is that the operating process to equipment carries out
Encapsulation, access and control equipment that can be unified, makes interoperability enhanced convenience and the intelligence between equipment.Service is generally divided into
Two kinds, one is aware services, and one is controls to service.Aware services mainly control the acquisition of the data acquisition equipments such as sensor
Current environment data provide the foundation of study and selection for user individual study and regular choice phase.Control service is main
It is that control equipment is gone to change current ambient condition according to the decision of ontology knowledge model and inference rule, so that ambient condition accords with
The individual requirement for sharing family, makes it feel comfortable.
On how to use rule that can carry out as described below:
The information process unit 42, for identity information, the environmental data, Yi Jisuo based on the target object
The corresponding operation model of target object is stated, is determined at least one of the local environment of target object terminal device
Adjustment information.
That is, after the operation model of target object has been determined, the ring that can be presently according to target user
Border data, which determine how, is adjusted the terminal device in its local environment.
Further, the information process unit 42, for passing through at least one of described target object local environment
Sensing equipment and/or at least one state detection unit obtain at least one parameter sensing, and/or at least one detection data
Information；
Based at least one parameter sensing and/or at least one detection data information, the target object institute is determined
Locate the initial environment parameter of environment.
The present embodiment proposes a kind of device intelligence interactive system based on individualized learning, which is based on ontology knowledge
Model has semantic information abundant, and has learnt the preference of user individual using machine learning algorithm, and to user's
Personalization preferences have carried out conceptual abstraction, according to abstract preference conceptual choice inference rule, so as to according to different user
Personalization preferences realize different equipment interoperability.The present embodiment realizes the mutual friendship between equipment based on ontology simultaneously
Mutually, by the interactive process between equipment, ambient condition and the current working condition of equipment can be comprehensively considered, equipment is done
The control decision of more accurate intelligence out.In addition to this, service concept has also been added in ontology knowledge model by we, to setting
Standby execution and control interaction is encapsulated, and is encapsulated and is serviced for aware services and control, is encapsulated by service, Ke Yitong
One access and control equipment, it is different without the concern for the interface equal difference of equipment, it, will not shadow when there is equipment to be added or leave
Ring the use of the system, interoperability enhanced convenience and intelligence between the equipment made.
Illustrate in conjunction with the structure of aforementioned device, the present embodiment also proposed a kind of device intelligence friendship based on individualized learning
Mutual system was waited by the control of the building of ontology knowledge model, the study of individual subscriber preference, the reasoning of rule and service
Intelligent interaction between Cheng Shixian equipment makes the life shape of user so that ambient condition meets the personalization preferences of user
State is more comfortable.As shown in figure 5,4 modules in figure can be respectively by the information process unit in the present embodiment come actuator
Corresponding function, specifically, in which:
The abstract and relationship of conceptual level is carried out to equipment, event, environment etc. by building ontology knowledge model；
Inference rule equipment is based on ontology knowledge model, and design inference rule carries out model reasoning, to instruct between equipment
Interoperability and intelligent decision；
Learn user individual number, since different user has different personalization preferences, it is therefore desirable to use machine
Learning algorithm has carried out conceptual abstraction to the personalization preferences of user to learn the personalization preferences of user, realizes reasoning rule
Selection then, to realize personalized equipment interactive system；Meanwhile service execution is controlled through environmental data with equipment, is set
The acquisition of standby working condition, the update of model, the links such as rule-based reasoning and Service controll, the intelligence realized between equipment are handed over
Mutually, ambient condition and equipment current state have been comprehensively considered, so that our scheme is more intelligent.In addition to this, originally
Embodiment also encapsulates the execution of equipment and control interaction, is encapsulated and services for aware services and control, passes through envelope
Dress service, access that can be unified and control equipment, without the concern for the difference of the interface of equipment, when there is equipment to be added or from
When opening, the use of the system will not be influenced, so that interoperability enhanced convenience and intelligence between equipment.
As it can be seen that by using above scheme, it will be able to by target user and its environmental parameter of local environment, to determine
How to be adjusted at least one terminal device, so that target user's local environment changes.To be directed to
Different users provides the processing mode of different control programs, so, it is possible so that being directed to the control more intelligence of terminal device
Can, and it is more in line with the demand of individual subscriber.
Embodiment three,
The embodiment of the invention provides a kind of control equipment, as shown in Figure 6, comprising:
Communication interface 61, for getting the identity information of target object；Obtain the first of the target object local environment
Beginning environmental data；Wherein, the initial environment data are at least used to characterize at least one state of target object local environment；
Processor 62 determines needle for the environmental data of identity information, local environment based on the target object
The adjustment information of at least one of local environment to target object terminal device, to the target object local environment
Initial environment state be changed the ambient condition after being adjusted.
Explanation is needed further exist for, communication interface 61 obtains the historical operating data of the target object；Wherein, institute
Stating historical operating data includes in preset duration, the state adjustment information of the target object and at least one terminal device, with
And the target object when adjusting at least one terminal device terminal device corresponding history environment ginseng in the environment
Number；
Processor 62, state adjustment information based at least one of historical operating data terminal device and
The history environment parameter determines operation model corresponding with the target object.
Wherein, the target object can be user, and user can be any people for being able to enter its corresponding environment,
It can certainly be anyone that environment where it can be managed, for example, can only retain use in the house of user A
Operation model corresponding to the A of family can also retain user A and its household user B, along with behaviour corresponding to its good friend user C
Make model.It can be voluntarily configured by user.
In addition, the terminal device can be for that can receive the smart machine for controlling information, for example, smart home, intelligence
Lamp, intelligent curtain, intelligent switch, intelligent water heater, intelligent electric cooker, intelligent fume exhauster, intelligent kitchen etc..It is understood that
It is more intelligent terminals can also occur, the present embodiment can be able to carry out setting for whole smart machines.
The state adjustment information of the terminal device can be directed to a certain or certain several intelligent terminal for target object,
The adjustment carried out under corresponding environment.
For example, user A goes home at night, prepare overtime work at 7 points, then at this point it is possible to the light in study is adjusted, tune
It is whole to arrive object brightness, also, user A keeps this operating habit to reach certain preset duration (for example, in 1 month or 1
Within week), then can be carried out based on the operation that user carries out in this certain preset duration and its corresponding environmental parameter
Record is then based on these contents and determines that target object is directed to the operation model that the smart machine carries out.This is for a kind of intelligence
The operation model of energy terminal.
For another example, at 5 points in afternoon enters parlor to user A in winter, at this point, user A can open curtain and open family
Electric light guarantees that the light in parlor reaches certain requirement, then, at this point, will be based on current time, temperature, humidity etc.
Environmental parameter and the state of intelligent curtain, intelligent electric lamp carry out the foundation of operation model.
It is also to be appreciated that aforementioned operation model, can be used for describing the state adjustment of one or more terminal devices
Information and its corresponding history environment parameter.
History environment parameter may include having: at least one sensing equipment of target object local environment detects
Parameter sensing；
It can also include the detection data information of at least one state detection unit on herein.Wherein, the state
Detection unit can be the detection unit for certain specific data, for example, can be time, humidity, temperature etc..
It should be pointed out that the present embodiment can be applied to many scenes, such as Intelligent household scene, smart meeting room scene
Deng the specific implementation process of the present embodiment by taking Intelligent household scene as an example, will be analyzed below.
Firstly, being directed to the building of ontology operation model, the building of ontology knowledge model is mainly abstract including concept hierarchy
And two steps of the association of relation on attributes.Fig. 2 is namely based on the smart home ontology knowledge model of the two steps design.
(1) concept hierarchy is abstract
First to smart machine, sensor, event, environmental information and the demand for services being related in smart home field
Deng the abstract of progress concept hierarchy, it is abstracted as specific concept, alternatively referred to as class.Such as by temperature sensor, Intelligent light sensing
Equipment etc. is abstracted as " sensor " concept upwards, is " smart machine " concept by device abstracts such as intelligent lighting, intelligent air conditions.
(2) relation on attributes is associated with
The method also includes: at least one terminal device is determined, at least one parameter sensing, and/or at least
A kind of incidence relation between detection data information.
It specifically, is exactly that will carry out relation on attributes between concept and concept and concept and attribute value to be associated with.Attribute closes
System includes object properties and data attribute.Incidence relation between abstract concept (class) is known as object properties, and concept (class) has
Attribute value be known as data attribute.As having certain object properties relationship between " Intelligent light sensing equipment " and " sensor ", i.e.,
" Intelligent light sensing equipment " is the subclass (is-a relationship) of " sensor "；Have between " environmental data " and " Intelligent light sensing equipment " and surveys
The object properties relationship (measuredBy) of amount, intelligent lighting can be associated with " luminous intensity " in measurement " environmental data ".
Intelligent lamp has data attribute value " closing " or " unlatching ", and the data attribute of luminous intensity is current light intensity value.
Then regular design is made inferences:
It is abstracted based on concept hierarchy and is associated with two steps with relation on attributes, an initial smart home ontology model is
It establishes, includes concept and clearly defined incidence relation.In addition to this, it is also necessary to it designs inference rule and carries out model reasoning,
To instruct the interoperability and intelligent decision between equipment.
Inference rule citing:
[rule1:(? a rdf:type fa:Room) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'weakLight') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? d fa:controlledBy? c) (? d rdf:type fa:SmartLight) (? d fa:hasValue'
0')-> (? c fa:hasValue'open')]；
Inference rule rule1 is meant that: if (type of a is Room) and (the stateful b of a) (type of b is light to and
State) (a has control event c) and (type of c is a light event) and (d quilt to and (it is " light is weak " that b, which has a value) and
C control) and (type of d is intelligent lamp) and (d current value is " 0 ", and " 0 " represents closed state)-> (c current value is
" opening ")；
Simply say and be exactly, when a particular room light is weak, and room etc. when being in off state, at this moment,
We should reasoning appear in the lamp that turn on this room, increase indoor light intensity.
[rule2:(? a rdf:type fa:MeetingRoom) (? a fa:hasEvent? c) (? c rdf:typefa:
LightEvent) (? c fa:hasValue'open') (? d fa:controlledBy? c) (? d rdf:typefa:
SmartLight) (? d fa:hasService? e) (? e fa:hasServiceType'set') (? efa:
HasServiceEndPoint? f) strConcat (? f, '/1',? g)-> (? e fa:hasServiceURL? g)]；
This rule of rule2 is meant that: when the value of the control event of light is " opening ", the service for controlling light will
The control command for sending an opening lamp, the lamp in room is opened.
The present embodiment part list of rules is as follows:
[rule3:(? a rdf:type fa:MeetingRoom) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'weakLight') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? d fa:controlledBy? c) (? d rdf:type fa:SmartLight) (? d fa:hasValue '
1') -> (? c fa:hasValue'undo')]；
[rule4:(? a rdf:type fa:MeetingRoom) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'hardLight') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? d fa:controlledBy? c) (? d rdf:type fa:SmartLight) (? d fa:hasValue '
0') -> (? c fa:hasValue'undo')]；
[rule5:(? a rdf:type fa:MeetingRoom) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'hardLight') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) (? d fa:controlledBy? c) (? d rdf:type fa:SmartLight) (? d fa:hasValue '
1') -> (? c fa:hasValue'off')]；
[rule6:(? a rdf:type fa:MeetingRoom) (? a fa:hasState? b) (? b rdf:type fa:
LightState) (? b fa:hasValue'suitable') (? a fa:hasEvent? c) (? c rdf:type fa:
LightEvent) -> (? c fa:hasValue'undo')].
It, can actually be for plurality of devices and its corresponding more it is to be appreciated that aforementioned several rules are merely illustrative
Kind environmental parameter carries out regular foundation.
Finally, the personalization preferences of study user (target object), select the inference rule of triggering:
(1) learn user individual preference
Different people has different personalized preferences and behavioural habits, if some people are more sensitive to light, and has
A little people are insensitive to light.It would therefore be desirable to learn user's using machine learning (Machine Learning) algorithm
Personalization preferences carry out semantics extraction to the personalization preferences of user.Such as: learning by machine learning algorithm, Xiao Ming's is " suitable
Preferably " light intensity is (150~260), and light intensity is " light is weak " lower than 150 people, and being higher than 260 is " light intensity "；" suitable " light intensity of user A is
(200~300), light intensity are " light is weak " lower than 200, and being higher than 300 is " light intensity ".Finally to Xiao Ming and user A to the individual character of light
Allelopathic is extracted concepts such as " light intensity " " light is weak " " suitable " by semantics extraction is carried out.
(2) inference rule of selection triggering
Semantics extraction has been carried out by talking about preference to user individual, has chosen the inference rule for needing to trigger.Such as a room
In values of light be 180, when Xiao Ming enter this room when, by machine learning method learn out current light value for Xiao Ming
For be " suitable ", trigger rule6；When user A enters this room, learn current light value out is for user A
" light is weak " triggers rule1 or rule3 according to the open state of current indoor intelligent lamp.
Service execution is carried out again and equipment controls.
Service concept has been added in ontology knowledge model by the present embodiment, and service is that the operating process to equipment carries out
Encapsulation, access and control equipment that can be unified, makes interoperability enhanced convenience and the intelligence between equipment.Service is generally divided into
Two kinds, one is aware services, and one is controls to service.Aware services mainly control the acquisition of the data acquisition equipments such as sensor
Current environment data provide the foundation of study and selection for user individual study and regular choice phase.Control service is main
It is that control equipment is gone to change current ambient condition according to the decision of ontology knowledge model and inference rule, so that ambient condition accords with
The individual requirement for sharing family, makes it feel comfortable.
On how to use rule that can carry out as described below:
The processor, identity information, the environmental data and the target object pair based on the target object
The operation model answered determines the adjustment information at least one of the local environment of target object terminal device.
That is, after the operation model of target object has been determined, the ring that can be presently according to target user
Border data, which determine how, is adjusted the terminal device in its local environment.
Further, the processor, by least one of target object local environment sensing equipment and/or
At least one state detection unit obtains at least one parameter sensing, and/or at least one detection data information；
Based at least one parameter sensing and/or at least one detection data information, the target object institute is determined
Locate the initial environment parameter of environment.
As it can be seen that by using above scheme, it will be able to by target user and its environmental parameter of local environment, to determine
How to be adjusted at least one terminal device, so that target user's local environment changes.To be directed to
Different users provides the processing mode of different control programs, so, it is possible so that being directed to the control more intelligence of terminal device
Can, and it is more in line with the demand of individual subscriber.
Further, the application also provides a kind of control equipment, comprising: processor and for store can be on a processor
The memory of the computer program of operation,
Wherein, the step of processor is for executing a kind of the method for embodiment when running the computer program.
And processor is able to carry out each step of method provided by embodiment one, and which is not described herein again.
The application also provides a kind of storage medium, is stored thereon with computer program, wherein the computer program is processed
The step of one the method for embodiment is realized when device executes.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or device.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device equipment (can be mobile phone, calculate
Machine, device, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (13)
1. a kind of apparatus control method, which is characterized in that the described method includes:
Get the identity information of target object；
Obtain the initial environment data of the target object local environment；Wherein, the initial environment data are at least used to characterize
At least one state of target object local environment；
The environmental data of identity information, local environment based on the target object is determined for the target object
The adjustment information of at least one of local environment terminal device, to the initial environment state of the target object local environment into
Row changes the ambient condition after being adjusted.
2. the method according to claim 1, wherein the method also includes:
Obtain the historical operating data of the target object；Wherein, the historical operating data includes the mesh in preset duration
The state adjustment information and target object adjustment of mark object and at least one terminal device at least one terminal are set
When standby terminal device institute in the environment corresponding to history environment parameter；
State adjustment information and history environment ginseng based at least one of historical operating data terminal device
Number determines operation model corresponding with the target object.
3. according to the method described in claim 2, it is characterized in that, the method also includes:
Determine at least one terminal device, at least one parameter sensing, and/or at least one detection data information it
Between incidence relation.
4. according to the method described in claim 2, it is characterized in that, the identity information based on the target object, locating
The environmental data of environment determines the adjustment letter at least one of the local environment of target object terminal device
Breath, comprising:
Identity information, the environmental data and the corresponding operation model of the target object based on the target object, really
Surely for the adjustment information of at least one of the local environment of target object terminal device.
5. method according to claim 1-4, which is characterized in that described to obtain the target object local environment
Initial environment data, comprising:
By at least one of target object local environment sensing equipment and/or at least one state detection unit, obtain
Take at least one parameter sensing, and/or at least one detection data information；
Based at least one parameter sensing and/or at least one detection data information, ring locating for the target object is determined
The initial environment parameter in border.
6. a kind of control equipment, which is characterized in that the control equipment includes:
Information acquisition unit, for getting the identity information of target object；Obtain the initial of the target object local environment
Environmental data；Wherein, the initial environment data are at least used to characterize at least one state of target object local environment；
Information process unit determines needle for the environmental data of identity information, local environment based on the target object
The adjustment information of at least one of local environment to target object terminal device, to the target object local environment
Initial environment state be changed the ambient condition after being adjusted.
7. a kind of control equipment, which is characterized in that the control equipment includes:
Communication interface, for getting the identity information of target object；Obtain the initial environment of the target object local environment
Data；Wherein, the initial environment data are at least used to characterize at least one state of target object local environment；
Processor is determined for the environmental data of identity information, local environment based on the target object for described
The adjustment information of at least one of local environment of target object terminal device, to the initial of the target object local environment
Ambient condition is changed the ambient condition after being adjusted.
8. control equipment according to claim 7, which is characterized in that the communication interface, for obtaining the target pair
The historical operating data of elephant；Wherein, the historical operating data includes in preset duration, and the target object and at least one are whole
Ring where terminal device when the state adjustment information of end equipment and the target object adjust at least one terminal device
Corresponding history environment parameter in border；
The processor, for based at least one of historical operating data terminal device state adjustment information, with
And the history environment parameter, determine operation model corresponding with the target object.
9. control equipment according to claim 8, which is characterized in that the processor, for determining at least one terminal
Incidence relation between equipment, at least one parameter sensing, and/or at least one detection data information.
10. control equipment according to claim 8, which is characterized in that the processor, for being based on the target object
Identity information, the environmental data and the corresponding operation model of the target object, determine for the target object
The adjustment information of at least one of local environment terminal device.
11. according to the described in any item control equipment of claim 7-10, which is characterized in that the processor, for passing through
At least one of target object local environment sensing equipment and/or at least one state detection unit are stated, is obtained at least one
Parameter sensing, and/or at least one detection data information；
Based at least one parameter sensing and/or at least one detection data information, ring locating for the target object is determined
The initial environment parameter in border.
12. a kind of control equipment, comprising: processor and the storage for storing the computer program that can be run on a processor
Device,
Wherein, the processor is for when running the computer program, perform claim to require the step of any one of 1-5 the method
Suddenly.
13. a kind of storage medium, is stored thereon with computer program, wherein the realization when computer program is executed by processor
The step of any one of claim 1-5 the method.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103345232A (en) * | 2013-07-15 | 2013-10-09 | 孟凡忠 | Individualized intelligent home control method and system |
| CN103529770A (en) * | 2013-08-08 | 2014-01-22 | 山东大学 | Application of intelligent household appliance control system based on conditioned reflex mechanism |
| CN104933336A (en) * | 2015-05-06 | 2015-09-23 | 丰唐物联技术（深圳）有限公司 | Method and system for controlling smart home device |
| CN105116735A (en) * | 2015-06-27 | 2015-12-02 | 广东天际电器股份有限公司 | Intelligent small household appliance system and applications thereof |
| CN105573135A (en) * | 2016-01-05 | 2016-05-11 | 珠海格力电器股份有限公司 | Control method and device of intelligent household appliance |
| CN105573132A (en) * | 2015-12-18 | 2016-05-11 | 美的集团股份有限公司 | Control method for household gateway, intelligent household system and household electrical appliance |
| CN105656679A (en) * | 2016-01-29 | 2016-06-08 | 宇龙计算机通信科技(深圳)有限公司 | Control method and control device of smart home equipment and smart home equipment |
| CN105955221A (en) * | 2016-06-21 | 2016-09-21 | 北京百度网讯科技有限公司 | Electric appliance equipment control method and apparatus |
| CN106302041A (en) * | 2016-08-05 | 2017-01-04 | 深圳博科智能科技有限公司 | A kind of intelligent home equipment control method and device |
| CN107438019A (en) * | 2016-05-27 | 2017-12-05 | 宇龙计算机通信科技(深圳)有限公司 | Smart home learning control method, device and system |
-
2018
- 2018-01-02 CN CN201810002691.7A patent/CN109991846A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103345232A (en) * | 2013-07-15 | 2013-10-09 | 孟凡忠 | Individualized intelligent home control method and system |
| CN103529770A (en) * | 2013-08-08 | 2014-01-22 | 山东大学 | Application of intelligent household appliance control system based on conditioned reflex mechanism |
| CN104933336A (en) * | 2015-05-06 | 2015-09-23 | 丰唐物联技术（深圳）有限公司 | Method and system for controlling smart home device |
| CN105116735A (en) * | 2015-06-27 | 2015-12-02 | 广东天际电器股份有限公司 | Intelligent small household appliance system and applications thereof |
| CN105573132A (en) * | 2015-12-18 | 2016-05-11 | 美的集团股份有限公司 | Control method for household gateway, intelligent household system and household electrical appliance |
| CN105573135A (en) * | 2016-01-05 | 2016-05-11 | 珠海格力电器股份有限公司 | Control method and device of intelligent household appliance |
| CN105656679A (en) * | 2016-01-29 | 2016-06-08 | 宇龙计算机通信科技(深圳)有限公司 | Control method and control device of smart home equipment and smart home equipment |
| CN107438019A (en) * | 2016-05-27 | 2017-12-05 | 宇龙计算机通信科技(深圳)有限公司 | Smart home learning control method, device and system |
| CN105955221A (en) * | 2016-06-21 | 2016-09-21 | 北京百度网讯科技有限公司 | Electric appliance equipment control method and apparatus |
| CN106302041A (en) * | 2016-08-05 | 2017-01-04 | 深圳博科智能科技有限公司 | A kind of intelligent home equipment control method and device |
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