CN105955049B - A kind of intelligent home furnishing control method, device and smart home - Google Patents
A kind of intelligent home furnishing control method, device and smart home Download PDFInfo
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- CN105955049B CN105955049B CN201610447278.2A CN201610447278A CN105955049B CN 105955049 B CN105955049 B CN 105955049B CN 201610447278 A CN201610447278 A CN 201610447278A CN 105955049 B CN105955049 B CN 105955049B
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- specific people
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
Abstract
The application discloses a kind of intelligent home furnishing control method, device and smart home, the state that the method passes through each specific people of acquisition, and the state according to each specific people determines the operational parameter value of smart home, realize the operational parameter value based on determined by the state as each specific people, smart home is controlled, smart home is controlled according to the state of each specific people that is, the application is realized.The different action behavior states of personnel state such as personnel often can reflect the different subjective feelings or subjectivity demand of personnel, to which the application is when carrying out intelligent control to smart home, by being that reference realizes the subjective feeling to each specific people, subjective demand accounts for the state of each specific people, based on this, the intelligence degree of smart home can be promoted, effectively using the scheme of the application so as to further satisfaction user demand.
Description
Technical field
The invention belongs to the field of intelligent control technology of smart home more particularly to a kind of intelligent home furnishing control methods, dress
It sets and smart home.
Background technique
Currently, the smart home devices such as intelligent air condition, intelligent humidifier, are generally basede on scheduled objective condition and carry out equipment
The intelligent control or adjusting of operating parameter.Own for example, intelligent humidifier when detecting that indoor humidity value is lower, is considered as interior
Personnel all have humidification demand, are humidified to start humidification function；Or intelligent air conditioner detect indoor temperature value compared with
Gao Shi is considered as indoor all personnel and all has refrigeration demand, freeze etc. to open refrigerating function.
It can be seen that existing smart home device does not consider everyone when carrying out intelligent intelligent control or intelligence is adjusted
Subjective feeling, subjective demand, intelligence degree is lower, can not better meet user demand.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of intelligent home furnishing control method, device and smart homes, it is intended to
Effectively promote the intelligence degree of smart home, further satisfaction user demand.
For this purpose, the present invention is disclosed directly below technical solution:
A kind of intelligent home furnishing control method, comprising:
Obtain the state of each specific people；
Based on the state of each specific people, the operational parameter value of the smart home is determined；
Based on the operational parameter value, the smart home is controlled.
The above method, it is preferred that each specific people are as follows: each individual in the smart home sphere of action
Member or preset each personnel.
The above method, it is preferred that the state based on each specific people determines the operation of the smart home
Parameter value includes:
Using the state and the corresponding control weight of each specific people of each specific people, determine described in
The operational parameter value of smart home.
The above method, it is preferred that the state using each specific people and each specific people couple
The control weight answered determines that the operational parameter value of the smart home includes:
Determine the control maximum personnel of weight as target person from each specific people；
According to the state of the target person, the operational parameter value of the smart home is determined.
The above method, it is preferred that the state using each specific people and each specific people couple
The control weight answered determines that the operational parameter value of the smart home includes:
According to the state of each specific people, the corresponding operational parameter value of each specific people is determined, and
As reference operational parameter value；
It is corresponding to each specific people to refer to operational parameter value using the control weight of each specific people
It is weighted, obtains the operational parameter value of the smart home.
The above method, it is preferred that the control weight of each specific people is based on each specific people to described
The historical data that smart home is controlled determines.
The above method, it is preferred that status weight, equipment of the control weight of the specific people based on the specific people
Weight and the corresponding state weight calculation of the state of the specific people obtain, in which:
The corresponding state weight of each specific people and equipment weight, based on smart home described in historical period
The state change information of operating parameter each specific people corresponding when adjusting determines；
The corresponding status weight of each specific people, based on each specific people to intelligence all in presumptive area
The equipment weight of energy household determines.
A kind of intelligent home control device, comprising:
Module is obtained, for obtaining the state of each specific people；
Determining module determines the operational parameter value of the smart home for the state based on each specific people；
Control module controls the smart home for being based on the operational parameter value.
Above-mentioned apparatus, it is preferred that the determining module is specifically used for state and institute using each specific people
The corresponding control weight of each specific people is stated, determines the operational parameter value of the smart home.
Above-mentioned apparatus, it is preferred that the determining module includes:
First determination unit, for determining the control maximum personnel of weight as target from each specific people
Personnel；And the state according to the target person, determine the operational parameter value of the smart home.
Above-mentioned apparatus, it is preferred that the determining module includes:
Second determination unit determines that each specific people is opposite for the state according to each specific people
The operational parameter value answered, and as reference operational parameter value；And the control weight using each specific people, to each
The specific people is corresponding to be weighted with reference to operational parameter value, obtains the operational parameter value of the smart home.
A kind of smart home, including intelligent home control device as described above.
As it can be seen from the above scheme intelligent home furnishing control method disclosed in the present application, device and smart home, each by obtaining
The state of a specific people, and the state according to each specific people determines the operational parameter value of smart home, realize based on by
Operational parameter value determined by the state of each specific people, controls smart home, that is, the application is realized according to each spy
The state of fix the number of workers controls smart home.The different action behavior states of personnel state such as personnel often can reflect people
The different subjective feelings of member or subjective demand, so that the application is when carrying out intelligent control to smart home, by with each specific
The state of personnel is that reference realizes the subjective feeling to each specific people, subjective demand accounts for, this is based on, using this Shen
Scheme please can effectively promote the intelligence degree of smart home, so as to further satisfaction user demand.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention without creative efforts, can also basis for ordinary skill member
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow chart of intelligent home furnishing control method embodiment one provided by the present application；
Fig. 2 is a kind of flow chart of intelligent home furnishing control method embodiment two provided by the present application；
Fig. 3 is a kind of flow chart of intelligent home furnishing control method embodiment three provided by the present application；
Fig. 4 is a kind of structural schematic diagram of intelligent home control device example IV provided by the present application；
Fig. 5 is a kind of structural schematic diagram of intelligent home control device embodiment five provided by the present application；
Fig. 6 is a kind of structural schematic diagram of intelligent home control device embodiment six provided by the present application.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, ordinary skill member are obtained every other without making creative work
Embodiment shall fall within the protection scope of the present invention.
Embodiment one
The embodiment of the present application one provides a kind of intelligent home furnishing control method, and this method is applicable to but is not limited to in table 1
The operating parameter of the intelligent water heater shown, the smart homes such as intelligent air condition, intelligent humidifier is controlled, for example, control intelligence
The water temperature of energy water heater, the humidity value for controlling intelligent humidifier, the temperature, the operational mode that control intelligent air condition etc., to promote intelligence
The intelligence degree of energy household.
Table 1
| Smart home | Controlled parameter |
| Socket | Energization on/off |
| Water heater | Hot water temperature d |
| Air-conditioning | Temperature a |
| Humidifier | Humidity m |
| Lamp dimmer | Luminous intensity l |
| Air purifier | Air index s |
| TV | Channel number c |
| Window control | Close window o/c |
It is a kind of flow chart of intelligent home furnishing control method embodiment one provided by the present application, the intelligence with reference to Fig. 1, Fig. 1
Energy appliance control method may comprise steps of:
S101: the state of each specific people is obtained.
Wherein, personnel state can be the various action behavior states for being able to reflect personnel's subjective feeling or subjective demand,
The active state of such as personnel, resting state, sleep state.
In one possible implementation, each specific people can be in smart home sphere of action
Each personnel, a certain such as the family everyone in the intelligent air condition sphere of action or in intelligent air condition sphere of action are done
The everyone etc. in public region.In other possible implementations, each specific people can also be preset each
A personnel, in such mode, user can be based on its actual demand, consideration needed for realizing intelligent control to smart home in advance it is each
A specific people sets, and such as can specifically be based on actual demand, and the intelligent control for presetting intelligent air condition in family need to be examined
The each personnel considered.
For the former implementation of each specific people, in step s101, needs dynamic detection, obtains intelligence
The action behavior state of composition of personnel and each member in household sphere of action, for example, can specifically pass through Wi-Fi
(WIreless-Fidelity, Wireless Fidelity) scans personnel equipment MAC(Media Access in family/working region
Control, medium access control) mark mode, or by the way of monitoring device such as camera collection image, or both phase
In conjunction with etc. composition of personnel in modes dynamic acquisition smart home sphere of action, and can be by by intelligent wearable device
(such as Intelligent bracelet/wrist-watch) carries out the mode of state-detection, or captures personnel's action behavior using monitoring devices such as cameras
Mode, or both the action behavior state that modes carry out each member of dynamic acquisition such as combine.Each specific people's is such
Implementation, due to accordingly can composition of personnel and each member in dynamic detection smart home sphere of action movement
Behavior state, so that the determination and control of the higher smart home operating parameter of accuracy can be realized.
For the latter implementation of each specific people, in step s101, it is only necessary to be mentioned using such as above-mentioned
The corresponding state detection means of confession, the action behavior state of each predetermined persons of dynamic acquisition.It is realized with the former
Mode is compared, such implementation in certain application scenarios, as in smart home sphere of action personnel change it is larger and not more
In the scene of new settings specific people, the control accuracy of smart home operating parameter may decrease, but due to being not necessarily to
The composition of personnel in smart home sphere of action is detected, to can effectively reduce the implementation complexity of detection-phase, is embodied
When the application, related personnel can determine to be suitable for the implementation used based on actual demand, and the present embodiment is not construed as limiting this.
S102: the state based on each specific people determines the operational parameter value of the smart home.
This step utilizes the state for having detected each specific people of acquisition, and corresponding in conjunction with each specific people
Weight is controlled, to determine the operational parameter value of smart home.
The historical data that the present embodiment controls the smart home based on each specific people, to determine
The corresponding control weight of each specific people is stated, it is each specific based on when ensuring to obtain smart home operational parameter value
The control weight reference value with higher of personnel.Next, the present embodiment provides determine to control based on corresponding historical data
A kind of possible implementation of weight.
In this implementation, it is assumed that each specific people corresponding three refer to weight: status weight, equipment weight and institute
State the corresponding state weight of state of specific people, wherein the status weight of specific people characterizes the specific people to predetermined
In region (in such as family or in working region) the master control permission of all smart homes high and low level；Specific people is to a certain
The equipment weight of smart home characterizes the control authority high and low level that the specific people controls the smart home；
Specific people characterizes phase of the corresponding state to the smart home of the specific people to the state weight of a certain smart home
Answer the high and low level of control authority.Wherein, weight size can be in positive corresponding relationship with the high and low level of control authority, that is, weigh
Weight values are bigger, and it is higher to characterize corresponding control authority.
When specifically can carry out operating parameter control or adjustment by smart home in statistics predetermined period, corresponding each institute
It is excavated in corresponding state change information when stating the state change information of specific people, and being adjusted from smart home operating parameter
Frequent item set, to determine the various frequent journeys of the corresponding control to smart home of action behavior state of each specific people
Degree and each specific people, later can be based on the various movements of each specific people to the control frequent degree of smart home
The corresponding control frequent degree to smart home of behavior state determines each action behavior state point of the specific people
Not corresponding state weight determines the specific people's based on each specific people to the control frequent degree of smart home
Equipment weight, frequent degree is higher, then the weighted value determined is bigger.The status weight of specific people then can be particular person
Mean value of the member to the equipment weight of smart homes all in presumptive area.
When it is implemented, when can be used fixed a length of sliding window regularly update it is above each with reference to weight.
Determine each specific people it is each with reference to weight on the basis of, can the reference weight based on each specific people with
And preset computation rule, calculate the control weight of each specific people.To the final movement in combination with each specific people
Behavior state and the corresponding control weight of each specific people, determine the operational parameter value of smart home.
S103: it is based on the operational parameter value, the smart home is controlled.
It, can be according to the operational parameter value to intelligence after the operational parameter value for determining smart home based on personnel state
Household carries out intelligent control, such as controls temperature value, the operational mode of intelligent air condition, controls humidity value of intelligent humidifier etc..
As it can be seen from the above scheme intelligent home furnishing control method disclosed in the present application, by the shape for obtaining each specific people
State, and the state according to each specific people determines the operational parameter value of smart home, realizes based on the shape by each specific people
Operational parameter value determined by state, controls smart home, that is, the application realizes the state pair according to each specific people
Smart home is controlled.The different action behavior states of personnel state such as personnel often can reflect the subjective sense of difference of personnel
By or subjective demand, so that the application is when carrying out intelligent control to smart home, by being ginseng with the state of each specific people
Examine and realize the subjective feeling to each specific people, subjective demand accounts for, and is based on this, can be effective using the scheme of the application
The intelligence degree of smart home is promoted, so as to further satisfaction user demand.
Embodiment two
It is a kind of flow chart of intelligent home furnishing control method embodiment two provided by the present application, this implementation with reference to Fig. 2, Fig. 2
Specific provide of example determines that one kind of smart home operational parameter value can using the state and control weight of each specific people
The implementation of energy, as shown in Fig. 2, the step S102 can be realized by following steps:
S1021: determine the control maximum personnel of weight as target person from each specific people；
S1022: according to the state of the target person, the operational parameter value of the smart home is determined.
Based on the most important personnel/most sensitive personnel (such as baby) looked after in each specific people, this is examined the present embodiment
Consider, the control maximum personnel of weight are picked out from each specific people as target person；And to control weight maximum
The target person action behavior state be reference frame, to determine the operational parameter value of smart home.
For example, it is assumed that the control weight of specific peopleWith its status weight, equipment weightAnd
State weightBetween functional relation it is as follows:
(1)
Following formula (2) then can be used and pick out the control maximum personnel of weight from each specific people as target person
Member:
(2)
Wherein,It indicates to control the maximum personnel of weight, i.e., the described target person in each specific people；、、Respectively indicate the corresponding status weight of personnel n, equipment weight and shape
State weight.
On this basis, can based on the state for the target person picked out, to determine the operational parameter value of smart home,
Wherein, the operational parameter value of the smart home, specifically can be corresponding described in the state based on learning objective personnel
The historical operating parameter value of smart home is determined, to finally realize with most important personnel/most sensitive personnel state
Such as to enter sleep state according to baby according to controlling smart home, air-conditioner temperature height-regulating etc. has fully considered most
Important persons/most sensitive personnel subjective feeling, can effectively meet the demand for control of such personnel.
Embodiment three
It is a kind of flow chart of intelligent home furnishing control method embodiment three provided by the present application, this implementation with reference to Fig. 3, Fig. 3
Example is specific to provide the another kind that smart home operational parameter value is determined using the state and control weight of each specific people
Possible implementation, as shown in figure 3, the step S102 can be realized by following steps:
S1023: according to the state of each specific people, the corresponding operating parameter of each specific people is determined
Value, and as reference operational parameter value；
S1024: corresponding to each specific people with reference to operation using the control weight of each specific people
Parameter value is weighted, and obtains the operational parameter value of the smart home.
The present embodiment comprehensively considers the state of each specific people to formulate the operational parameter value of smart home.
Specifically, it is first depending on the state of each specific people, determines the corresponding fortune of each specific people
Row parameter value, and as reference operational parameter value.For example, it is assumed that the fortune of the smart home determined based on the state of personnel 1
Row parameter value is x1, and the operational parameter value based on the smart home that the state of personnel 2 determines is state of the x2 ... based on personnel n
The operational parameter value of determining smart home is xn.
On this basis, using the control weight of each specific people, ginseng corresponding to each specific people
It examines operational parameter value to be weighted, obtains the operational parameter value of the smart home, such as assume personnel 1, personnel 2 ... personnel
The control weight of n is respectivelyWeight Person_1 、…, then following formula (3) can be used and calculate intelligence
The operational parameter value X that energy household need to finally use:
(3)
It is subsequent that smart home is controlled using the operational parameter value being calculated, to finally realize comprehensive
It closes and considers that the state of each specific people carries out intelligent control to smart home, be based on this, the present embodiment has comprehensively considered each
The subjective feeling of personnel can effectively meet the demand for control of each personnel.
Example IV
The embodiment of the present application four provides a kind of intelligent home control device, which is applicable to but is not limited to in table 1
The operating parameter of the intelligent water heater shown, the smart homes such as intelligent air condition, intelligent humidifier is controlled, for example, control intelligence
The water temperature of energy water heater, the humidity value for controlling intelligent humidifier, the temperature, the operational mode that control intelligent air condition etc., to promote intelligence
The intelligence degree of energy household.
Table 1
| Smart home | Controlled parameter |
| Socket | Energization on/off |
| Water heater | Hot water temperature d |
| Air-conditioning | Temperature a |
| Humidifier | Humidity m |
| Lamp dimmer | Luminous intensity l |
| Air purifier | Air index s |
| TV | Channel number c |
| Window control | Close window o/c |
It is a kind of structural schematic diagram of intelligent home control device example IV provided by the present application, institute with reference to Fig. 4, Fig. 4
Stating intelligent home control device may include obtaining module 100, determining module 200 and control module 300.
Module 100 is obtained, for obtaining the state of each specific people.
Wherein, personnel state can be the various action behavior states for being able to reflect personnel's subjective feeling or subjective demand,
The active state of such as personnel, resting state, sleep state.
In one possible implementation, each specific people can be in smart home sphere of action
Each personnel, a certain such as the family everyone in the intelligent air condition sphere of action or in intelligent air condition sphere of action are done
The everyone etc. in public region.In other possible implementations, each specific people can also be preset each
A personnel, in such mode, user can be based on its actual demand, consideration needed for realizing intelligent control to smart home in advance it is each
A specific people sets, and such as can specifically be based on actual demand, and the intelligent control for presetting intelligent air condition in family need to be examined
The each personnel considered.
For the former implementation of each specific people, this module needs dynamic detection, obtains smart home work
With the action behavior state of composition of personnel and each member in range, for example, can specifically pass through Wi-Fi(WIreless-
Fidelity, Wireless Fidelity) personnel equipment MAC(Media Access Control in family/working region is scanned, medium is visited
Ask control) mode of mark, or using monitoring device such as camera collection image by the way of, or both the modes such as combine dynamically
The composition of personnel in smart home sphere of action is obtained, and can be by by intelligent wearable device (such as Intelligent bracelet/hand
Table) carry out state-detection mode, or using the monitoring devices such as camera capture personnel's action behavior by the way of, or both mutually tie
The modes such as conjunction carry out the action behavior state of each member of dynamic acquisition.Such mode of each specific people, due to accordingly
The action behavior state of composition of personnel and each member in meeting dynamic detection smart home sphere of action, to can realize
The determination and control of the higher smart home operating parameter of accuracy.
For the latter implementation of each specific people, this module is only needed using all as provided above corresponding
State-detection means, the action behavior state of each predetermined persons of dynamic acquisition.Compared with the former implementation,
Such implementation is in certain application scenarios, as personnel's variation is larger in smart home sphere of action and more new settings is not specific
In the scene of personnel, the control accuracy of smart home operating parameter may decrease, but due to without detecting intelligent family
The composition of personnel in sphere of action is occupied, thus can effectively reduce the implementation complexity of detection-phase, when the application is embodied, phase
Pass personnel can determine to be suitable for the implementation used based on actual demand, and the present embodiment is not construed as limiting this.
Determining module 200 determines the operating parameter of the smart home for the state based on each specific people
Value.
This module utilizes the state for having detected each specific people of acquisition, and corresponding in conjunction with each specific people
Weight is controlled, to determine the operational parameter value of smart home.
The historical data that the present embodiment controls the smart home based on each specific people, to determine
The corresponding control weight of each specific people is stated, each spy based on when ensuring to obtain smart home operational parameter value
The control weight reference value with higher of fix the number of workers.Next, the present embodiment provides determine to control based on corresponding historical data
A kind of possible implementation of weight processed.
In this implementation, it is assumed that each specific people corresponding three refer to weight: status weight, equipment weight and institute
State the corresponding state weight of state of specific people, wherein the status weight of specific people characterizes the specific people to predetermined
In region (in such as family or in working region) the master control permission of all smart homes high and low level；Specific people is to a certain
The equipment weight of smart home characterizes the control authority high and low level that the specific people controls the smart home；
Specific people characterizes phase of the corresponding state to the smart home of the specific people to the state weight of a certain smart home
Answer the high and low level of control authority.Wherein, weight size can be in positive corresponding relationship with the high and low level of control authority, that is, weigh
Weight values are bigger, and it is higher to characterize corresponding control authority.
When specifically can carry out operating parameter control or adjustment by smart home in statistics predetermined period, corresponding each institute
It is excavated in corresponding state change information when stating the state change information of specific people, and being adjusted from smart home operating parameter
Frequent item set, to determine the various frequent journeys of the corresponding control to smart home of action behavior state of each specific people
Degree and each specific people, later can be based on the various movements of each specific people to the control frequent degree of smart home
The corresponding control frequent degree to smart home of behavior state determines each action behavior state point of the specific people
Not corresponding state weight determines the specific people's based on each specific people to the control frequent degree of smart home
Equipment weight, frequent degree is higher, then the weighted value determined is bigger.The status weight of specific people then can be specific
Mean value of the personnel to the equipment weight of smart homes all in presumptive area.
When it is implemented, a length of sliding window regularly updates above each with reference to weight when can be used fixed, and can be used
The form of one General controller periodically collects each specific people to the equipment weight of smart homes all in presumptive area, is based on each spy
The status weight of each each specific people of equipment weight calculation of fix the number of workers, and the status weight of each specific people is distributed to predetermined
The control device of each smart home in region.
Determine each specific people it is each with reference to weight on the basis of, can the reference weight based on each specific people with
And preset computation rule, calculate the control weight of each specific people.To the final movement in combination with each specific people
Behavior state and the corresponding control weight of each specific people, determine the operational parameter value of smart home.
Control module 300 controls the smart home for being based on the operational parameter value.
It, can be according to the operational parameter value to intelligence after the operational parameter value for determining smart home based on personnel state
Household carries out intelligent control, such as controls temperature value, the operational mode of intelligent air condition, controls humidity value of intelligent humidifier etc..
As it can be seen from the above scheme intelligent home control device disclosed in the present application, by the shape for obtaining each specific people
State, and the state according to each specific people determines the operational parameter value of smart home, realizes based on the shape by each specific people
Operational parameter value determined by state, controls smart home, that is, the application realizes the state pair according to each specific people
Smart home is controlled.The different action behavior states of personnel state such as personnel often can reflect the subjective sense of difference of personnel
By or subjective demand, so that the application is when carrying out intelligent control to smart home, by being ginseng with the state of each specific people
Examine and realize the subjective feeling to each specific people, subjective demand accounts for, and is based on this, can be effective using the scheme of the application
The intelligence degree of smart home is promoted, so as to further satisfaction user demand.
Embodiment five
It is a kind of structural schematic diagram of intelligent home control device embodiment five provided by the present application with reference to Fig. 5, Fig. 5, this
Embodiment, which is specifically provided, determines the one of smart home operational parameter value using the state and control weight of each specific people
The possible implementation of kind, as shown in figure 5, the determining module 200 can be realized by the first determination unit 201 below:
First determination unit 201, for determining the control maximum personnel's conduct of weight from each specific people
Target person；And the state according to the target person, determine the operational parameter value of the smart home.
Based on the most important personnel/most sensitive personnel (such as baby) looked after in each specific people, this is examined the present embodiment
Consider, the control maximum personnel of weight are picked out from each specific people as target person；And to control weight maximum
The target person action behavior state be reference frame, to determine the operational parameter value of smart home.
For example, it is assumed that the control weight of specific peopleWith its status weight, equipment weightAnd
State weightBetween functional relation it is as follows:
(1)
Following formula (2) then can be used and pick out the control maximum personnel of weight from each specific people as target person
Member:
(2)
Wherein,It indicates to control the maximum personnel of weight, i.e., the described target person in each specific people；、、Respectively indicate the corresponding status weight of personnel n, equipment weight and shape
State weight.
On this basis, can based on the state for the target person picked out, to determine the operational parameter value of smart home,
Wherein, the operational parameter value of the smart home, specifically can be corresponding described in the state based on learning objective personnel
The historical operating parameter value of smart home is determined, to finally realize with most important personnel/most sensitive personnel state
Such as to enter sleep state according to baby according to controlling smart home, air-conditioner temperature height-regulating etc. has fully considered most
Important persons/most sensitive personnel subjective feeling, can effectively meet the demand for control of such personnel.
Embodiment six
It is a kind of structural schematic diagram of intelligent home control device embodiment six provided by the present application with reference to Fig. 6, Fig. 6, this
Embodiment, which is specifically provided, determines the another of smart home operational parameter value using the state and control weight of each specific people
A kind of possible implementation, as shown in fig. 6, the determining module 200 can be real by the second determination unit 202 below
It is existing:
Second determination unit 202 determines each specific people's phase for the state according to each specific people
Corresponding operational parameter value, and as reference operational parameter value；And using the control weight of each specific people, to each
The specific people is corresponding to be weighted with reference to operational parameter value, obtains the operational parameter value of the smart home.
The present embodiment comprehensively considers the state of each specific people to formulate the operational parameter value of smart home.
Specifically, it is first depending on the state of each specific people, determines the corresponding fortune of each specific people
Row parameter value, and as reference operational parameter value.For example, it is assumed that the fortune of the smart home determined based on the state of personnel 1
Row parameter value is x1, and the operational parameter value based on the smart home that the state of personnel 2 determines is state of the x2 ... based on personnel n
The operational parameter value of determining smart home is xn.
On this basis, using the control weight of each specific people, ginseng corresponding to each specific people
It examines operational parameter value to be weighted, obtains the operational parameter value of the smart home, such as assume personnel 1, personnel 2 ... personnel
The control weight of n is respectivelyWeight Person_1 、…, then following formula (3) can be used and calculate intelligence
The operational parameter value X that energy household need to finally use:
(3)
It is subsequent that smart home is controlled using the operational parameter value being calculated, to finally realize comprehensive
It closes and considers that the state of each specific people carries out intelligent control to smart home, be based on this, the present embodiment has comprehensively considered each
The subjective feeling of personnel can effectively meet the demand for control of each personnel.
Embodiment seven
The embodiment of the present application seven discloses a kind of smart home, and the smart home can be but not limited to intelligent water heater,
The smart home devices such as intelligent air condition, intelligent humidifier, the smart home include such as example IV to any reality of embodiment six
Intelligent home control device disclosed in example is applied, by described device, smart home can realize the state based on each specific people
Intelligent control is carried out to its related operating parameter, such as controls the water temperature of intelligent water heater, control the humidity value of intelligent humidifier,
To promote the intelligence degree of smart home.
As it can be seen from the above scheme smart home disclosed in the present application, by obtaining the state of each specific people, and foundation
The state of each specific people determines the operational parameter value of smart home, realizes based on determined by the state as each specific people
Operational parameter value controls smart home, that is, the application realize according to the state of each specific people to smart home into
Row control.The different action behavior states of personnel state such as personnel often can reflect the different subjective feelings of personnel or subjectivity and need
It asks, so that the application is when carrying out intelligent control to smart home, by being with reference to realizing pair with the state of each specific people
The subjective feeling of each specific people, subjective demand account for, and are based on this, can effectively promote intelligent family using the scheme of the application
The intelligence degree in residence, so as to further satisfaction user demand.
It should be noted that all the embodiments in this specification are described in a progressive manner, each embodiment weight
Point explanation is the difference from other embodiments, and the same or similar parts between the embodiments can be referred to each other.
For convenience of description, it describes to be divided into various modules when system above or device with function or unit describes respectively.
Certainly, the function of each unit can be realized in the same or multiple software and or hardware when implementing the application.
As seen through the above description of the embodiments, the technology member of this field can be understood that the application can
It realizes by means of software and necessary general hardware platform.Based on this understanding, the technical solution essence of the application
On in other words the part that contributes to existing technology can be embodied in the form of software products, the computer software product
It can store in storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions are used so that a computer equipment
(can be personal computer, server or the network equipment etc.) executes the certain of each embodiment of the application or embodiment
Method described in part.
Finally, it is to be noted that, herein, such as first, second, third and fourth or the like relational terms
It is only used to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying these
There are any actual relationship or orders between entity or operation.Moreover, the terms "include", "comprise" or its is any
Other variants are intended to non-exclusive inclusion, so that including the process, method, article or equipment of a series of elements
Include not only those elements, but also including other elements that are not explicitly listed, or further includes for this process, side
Method, article or the intrinsic element of equipment.In the absence of more restrictions, limited by sentence "including a ..."
Element, it is not excluded that there is also other identical elements in the process, method, article or apparatus that includes the element.
The above is only a preferred embodiment of the present invention, it is noted that for the art ordinary skill at
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (9)
1. a kind of intelligent home furnishing control method characterized by comprising
Obtain the state of each specific people；
Based on the state of each specific people, the operational parameter value of the smart home is determined；
Based on the operational parameter value, the smart home is controlled；
Wherein, the state based on each specific people determines that the operational parameter value of the smart home includes: to utilize
The state of each specific people and the corresponding control weight of each specific people, determine the fortune of the smart home
Row parameter value；The control weight of each specific people is based on each specific people and controls the smart home
Historical data determine.
2. the method according to claim 1, wherein each specific people are as follows: be in the smart home
Each personnel or preset each personnel in sphere of action.
3. the method according to claim 1, wherein the state and institute using each specific people
The corresponding control weight of each specific people is stated, determines that the operational parameter value of the smart home includes:
Determine the control maximum personnel of weight as target person from each specific people；
According to the state of the target person, the operational parameter value of the smart home is determined.
4. the method according to claim 1, wherein the state and institute using each specific people
The corresponding control weight of each specific people is stated, determines that the operational parameter value of the smart home includes:
According to the state of each specific people, the corresponding operational parameter value of each specific people, and conduct are determined
With reference to operational parameter value；
It is corresponding to each specific people to be carried out with reference to operational parameter value using the control weight of each specific people
Ranking operation obtains the operational parameter value of the smart home.
5. the method according to claim 3 or 4, which is characterized in that the control weight of the specific people is based on the spy
Status weight, equipment weight and the corresponding state weight calculation of the state of the specific people of fix the number of workers obtains, in which:
The corresponding state weight of each specific people and equipment weight, the operation based on smart home described in historical period
The state change information of parameter each specific people corresponding when adjusting determines；
The corresponding status weight of each specific people, based on each specific people to intelligence all in presumptive area men
The equipment weight in residence determines.
6. a kind of intelligent home control device characterized by comprising
Module is obtained, for obtaining the state of each specific people；
Determining module determines the operational parameter value of the smart home for the state based on each specific people；
Control module controls the smart home for being based on the operational parameter value；
Wherein, the determining module is specifically used for state and each specific people couple using each specific people
The control weight answered, determines the operational parameter value of the smart home；The control weight of each specific people is based on described
The historical data that each specific people controls the smart home determines.
7. device according to claim 6, which is characterized in that the determining module includes:
First determination unit, for determining the control maximum personnel of weight as target person from each specific people
Member；And the state according to the target person, determine the operational parameter value of the smart home.
8. device according to claim 6, which is characterized in that the determining module includes:
Second determination unit determines that each specific people is corresponding for the state according to each specific people
Operational parameter value, and as reference operational parameter value；And the control weight using each specific people, to each described
Specific people is corresponding to be weighted with reference to operational parameter value, obtains the operational parameter value of the smart home.
9. a kind of smart home, which is characterized in that including the Intelligent housing dress as described in claim 6-8 any one
It sets.
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| CN107796092A (en) * | 2017-11-20 | 2018-03-13 | 宋彦震 | Central air conditioner system and method based on multi-user's dynamic temperature-regulating |
| CN108459509B (en) * | 2018-01-31 | 2021-08-03 | 霍尼韦尔环境自控产品（天津）有限公司 | Control method and control system of intelligent equipment |
| CN111221262A (en) * | 2020-03-30 | 2020-06-02 | 重庆特斯联智慧科技股份有限公司 | Self-adaptive intelligent household adjusting method and system based on human body characteristics |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104154633A (en) * | 2014-08-19 | 2014-11-19 | 珠海格力电器股份有限公司 | Intelligent air conditioning control method, device and system |
| CN104864509A (en) * | 2015-04-30 | 2015-08-26 | 广东美的制冷设备有限公司 | Air conditioner control method, air conditioner and air conditioner system |
| CN105182766A (en) * | 2015-08-12 | 2015-12-23 | 小米科技有限责任公司 | Equipment control method and apparatus |
| CN105242554A (en) * | 2015-09-28 | 2016-01-13 | 努比亚技术有限公司 | Terminal control method and apparatus |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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-
2016
- 2016-06-20 CN CN201610447278.2A patent/CN105955049B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104154633A (en) * | 2014-08-19 | 2014-11-19 | 珠海格力电器股份有限公司 | Intelligent air conditioning control method, device and system |
| CN104864509A (en) * | 2015-04-30 | 2015-08-26 | 广东美的制冷设备有限公司 | Air conditioner control method, air conditioner and air conditioner system |
| CN105182766A (en) * | 2015-08-12 | 2015-12-23 | 小米科技有限责任公司 | Equipment control method and apparatus |
| CN105242554A (en) * | 2015-09-28 | 2016-01-13 | 努比亚技术有限公司 | Terminal control method and apparatus |
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