CN109152166A - A kind of household atmosphere field control method based on signal light control - Google Patents
A kind of household atmosphere field control method based on signal light control Download PDFInfo
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- CN109152166A CN109152166A CN201810858150.4A CN201810858150A CN109152166A CN 109152166 A CN109152166 A CN 109152166A CN 201810858150 A CN201810858150 A CN 201810858150A CN 109152166 A CN109152166 A CN 109152166A
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
Abstract
The present invention provides a kind of household atmosphere field control method based on signal light control, including S1 obtains domestic environment atmosphere field, and atmosphere field can be analyzed to m attribute；S2 establishes light coloring hierarchy Model, model includes destination layer, rule layer and solution layer, rule layer includes the m attribute of atmosphere field, and solution layer includes alternative n kind light color, and destination layer is the result that light color selection is carried out according to the m attribute of atmosphere field；S3 constructs rule layer to the pairwise comparison matrix A of destination layer, and the weight vectors of calculating matrix A；S4 constructing plan layer is to the pairwise comparison matrix B of rule layer, and the weight vectors of calculating matrix B；The light color that the light color that S5, which is multiplied using the weight vectors of matrix A with the weight vectors of matrix B, to be calculated total weight vectors, and filter out maximum weight in total weight vectors is selected as destination layer.Beneficial effects of the present invention: according to atmosphere field analysis light coloring demand, light coloring variation service is actively provided.
Description
Technical field
The present invention relates to lighting technical field more particularly to a kind of household atmosphere field control methods based on signal light control.
Background technique
Although being concentrated mainly on the evaluation of illumination, lighting control system currently, there are many research of lighting control system
Optimization, the illumination of different location be not in use, be also very much, with smart home by emotion and the warm research of lighting of home
It is proposed, someone selection from practice, art and technology three in terms of, demonstrate performance of the design of emotional culture in family's light
Mode is provided fundamental basis so that the theory how Emotional Design is incorporated to illumination proposed for the illumination of emotion from now on.
Now smart home in practical applications, movement be by artificially actively going to change, be not by smart home from
Body changes according to environmental demand, the service that most of smart home devices provide all be passively, can only be according to instruction mechanically
Execution task, and can not achieve and take the initiative in offering a hand, the research of the lamp light control system in existing smart home focuses primarily upon communication
In mode and control algolithm, not yet with the warm research of lighting of home by atmosphere.
Summary of the invention
In view of this, the embodiment provides a kind of household atmosphere field control method based on signal light control.
The embodiment of the present invention provides a kind of household atmosphere field control method based on signal light control, comprising:
S1 obtains domestic environment atmosphere field, and the atmosphere field can be analyzed to m attribute；
S2 establishes light coloring hierarchy Model, and the model includes destination layer, rule layer and solution layer, the criterion
Layer includes the m attribute of the atmosphere field, and the solution layer includes alternative n kind light color, and the destination layer is root
The result of light color selection is carried out according to the m attribute of atmosphere field；
S3 constructs the rule layer to the pairwise comparison matrix A of the destination layer, and calculate the weight of the matrix A to
Amount；
S4 constructs the solution layer to the pairwise comparison matrix B of the rule layer, and calculate the weight of the matrix B to
Amount；
S5, which is multiplied using the weight vectors of the matrix A with the weight vectors of the matrix B, calculates total weight vectors, and
Filter out the light color that the light color of maximum weight in total weight vectors is selected as the destination layer.
Further, further includes: S6 calculates the bright of destination layer light in step S5 according to the m attribute of the atmosphere field
Degree and saturation degree.
Further, the step S3 specifically:
S3.1 constructs the rule layer to the pairwise comparison matrix A of the destination layer, the matrix A specifically:
The matrix A is positive reciprocal matrix, element rijMeaning is eiWith ejThe comparison result of importance, wherein i, j=1,
2,3, rijIt determines as follows:
To the atmosphere field FA(t)Three attributes carry out 1 to 11 degree method processing, continue to be returned using deviation Standardization Act
One change handles to obtain FA(t)Three attribute (e1、e2、e3), and make the following judgment,
If ei-ej>=0, then
rij=[(ei-ej)+0.1]×10
Conversely, then
S3.2, which is used, seeks the maximum eigenvalue of matrix A feature vector corresponding with its with method approximation, method particularly includes:
Seek the approximate characteristic vector of the matrix A
U'=(u'1,u'2,...,u'n)Z
Wherein n representing matrix order,
Calculating approximate maximum eigenvalue λ is
The maximum eigenvalue λ of the matrix Amax(A)=λ；
S3.3 calculates the weight vectors of the matrix A, method particularly includes: the maximum eigenvalue λ of the matrix Amax(A) right
The feature vector answered is U '=(u '1, u '2, u '3), the sum of each element of each row of feature vector U ' is calculated, then by feature vector
The vector that each row element of U ' is normalized is required weight vectors, the weight vectors of the matrix A are as follows:
Further, the step S3 further include: test to the consistency of the matrix A, if being unsatisfactory for requiring weight
Multiple step S1 reacquires habitat environment atmosphere field and step S2, until the consistency to the matrix A is met the requirements.
Further ,-arbitrarily and active-three attribute of cooling down that the atmosphere field can be analyzed to friendly-hostile, formal.
Further, it is red, yellow, green, cyan, blue, purple that the solution layer, which is alternative light color,
Color and white seven kinds of colors.
Further, the element in the matrix A is the importance of an attribute and another attribute in the rule layer
Comparison result.
Further, the element in the matrix B is respectively to belong in each light color and the rule layer in the solution layer
Comparison result between the degree of association of property.
The technical solution that the embodiment of the present invention provides has the benefit that the present invention is a kind of based on signal light control
Household atmosphere field control method obtains the atmosphere field of domestic environment and analyzes the lamp of the mankind according to the value of three attributes of atmosphere field
Photochromic coloured silk demand, has carried out color character information and atmosphere association analysis, has proposed a kind of light coloring based on analytic hierarchy process (AHP)
It is with atmosphere field relational model modeling method, atmosphere is warm with lighting of home, light coloring variation service is provided, actively to pass through
It controls light coloring and adjusts atmosphere field, create comfortable domestic environment and practicable method is provided, atmosphere of making the life better is enjoyed
High-quality life.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the household atmosphere field control method based on signal light control of the present invention；
Fig. 2 is the schematic diagram of light coloring hierarchy Model in step S2；
Fig. 3 is the questionnaire survey figure of color Yu the atmosphere field degree of association.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to embodiment party of the present invention
Formula is further described.
Referring to FIG. 1, the present invention is for light coloring research in household atmosphere field and the lighting of home in smart home
Control system has carried out color character information and atmosphere association analysis, and the embodiment provides one kind to be based on light control
The household atmosphere field control method of system, comprising:
S1 obtains domestic environment atmosphere field, and the atmosphere field can be analyzed to m attribute；
S2 establishes light coloring hierarchy Model, and the model includes destination layer, rule layer and solution layer, the criterion
Layer includes the m attribute of the atmosphere field, and the solution layer includes alternative n kind light color, and the destination layer is root
The result of light color selection is carried out according to the m attribute of atmosphere field；
S3 constructs the rule layer to the pairwise comparison matrix A of the destination layer, and calculate the weight of the matrix A to
Amount；
S4 constructs the solution layer to the pairwise comparison matrix B of the rule layer, and calculate the weight of the matrix B to
Amount；
S5, which is multiplied using the weight vectors of the matrix A with the weight vectors of the matrix B, calculates total weight vectors, and
Filter out the light color that the light color of maximum weight in total weight vectors is selected as the destination layer.
Above-mentioned steps are specifically described below:
In the step S1, atmosphere field refer to diffused in domestic environment in space can influence action process and result
Psychological factor and psychological feelings, be by built in personal or more people's dialog procedures Lai atmosphere, atmosphere field can be analyzed to
Friendly-it is hostile, formal that-arbitrarily and vivaciously-calm three attribute identify the atmosphere FA at a certain moment(t), 1 to 11 scaling law of use
Use ELC、EFH、ECFThe numerical value e of three axis1、e2、e3Indicate FA(t)It is corresponding friendly-hostile, formal-arbitrarily and vivaciously-calm three
Attribute, e1、e2、e3Codomain be [- 1,1].1 to 11 scaling law is described as follows table 1:
11 to 11 scaling law of table illustrates table
Referring to FIG. 2, destination layer is top in light coloring hierarchy Model in the step S2, under successively
For rule layer and solution layer, the destination layer only has single-element, represents the main target of problem analysis, and destination layer defines here
For light coloring selection result, rule layer is the preliminary exposition of destination layer, i.e. the influence factor of destination layer, main here to inquire into not
With the variation of light coloring under atmosphere, therefore three attribute " friendly-hostile " of atmosphere field are selected, " formal-arbitrarily ", " active-
It is calm " be used as rule layer, solution layer is solves the problems, such as the mode of destination layer, set here light coloring can change for red,
Yellow, green, cyan, blue, purple, white seven kinds of schemes.
In the step S3, the matrix A specifically:
The matrix A is positive reciprocal matrix, element rijMeaning is eiWith ejThe comparison result of importance, wherein i, j=1,
2,3.rijIt determines as follows: using deviation Standardization Act to atmosphere FA(t)Three attribute (e1、e2、e3) be normalized
It is compared after processing,
If ei-ej>=0, then
rij=[(ei-ej)+0.1]×10
Conversely, then
Calculate the specific steps of the weight vectors of the matrix A are as follows: it tests first to the consistency of the matrix A,
RI is Aver-age Random Consistency Index, is the standard for examining pairwise comparison matrix consistency, it is only related with matrix order n, it
Value see Table 2 for details.
The standard RI value table of the inspection pairwise comparison matrix consistency of table 2
Calculate the eigenvalue λ for comparing matrix A in pairs1(A)、λ2(A)、λ3(A) to obtain the maximum of pairwise comparison matrix A
Eigenvalue λmax(A), but such calculating process be it is complicated, in practical applications, for positive reciprocal matrix, can use
Matrix maximum eigenvalue feature vector corresponding with its is sought with method approximation
Approximate characteristic vector are as follows:
U'=(u'1,u'2,...,u'n)Z
The corresponding approximate characteristic vector of maximum eigenvalue that U ' can be regarded as to matrix A, calculates approximate characteristic vector
Approximate maximum eigenvalue
λ can be regarded as to the maximum eigenvalue λ of matrix Amax(A) it is different to calculate measurement pairwise comparison matrix A for approximation
The index of cause degree
The Aver-age Random Consistency Index for examining pairwise comparison matrix A consistency is found from table 2
RI=0.58
Calculate the random consistency ratio of Paired comparison matrix A
If CR < 0.1, that is, think that Paired comparison matrix A has satisfied consistency, consistency meets the requirements, otherwise takes again
The value of atmosphere field is obtained, and repeats S1~S3, until the consistency to the matrix A is met the requirements.
Then Paired comparison matrix A weight vectors, the maximum eigenvalue λ of Paired comparison matrix A are calculatedmax(A) corresponding feature to
Amount is U '=(u '1, u '2, u '3), which is standardized, so that the sum of its each component is equal to 1 and each component is both greater than zero,
Judgment matrix weight calculation code requirement column average method (and method) here, this method step are as follows: it is each to calculate each row of feature vector
The sum of element, the vector that then each row element of feature vector is normalized are required weight vectors.
It is after feature vector standardization
This vector is known as the weight vectors of the matrix A after standardization, when it reflects selection color here,
The sequence of importance of " friendly-hostile ", " formal-arbitrarily " and " active-cool down ", the relative importance of each factor is by weight vectors
Each component of U determines.To calculate convenient for the later period, rule layer is expressed as the weight vectors of destination layer, matrix
Matrix B described in step S4 are as follows:
Element b in the matrix BijMeaning be piWith pjThe comparison result of importance, piAnd pjIt indicates in the solution layer
The degree of association of each attribute in each light color and the rule layer, wherein i, j=1,2,3,4,5,6,7, piWith pjUsing in table 1
1 to 11 scaling law carry out value.bijIt determines as follows:
If pi-pj>=0, then
bij=[(pi-pj)+0.1]×10
Conversely, then
Wherein piAnd pjValue can be obtained by questionnaire survey, it is specific as follows.
Based on the stimulation of selected coloured light is by red, yellow, and green, blueness, indigo plant, purple 6 kinds of pure colors in this questionnaire survey, use
Unitary variant method, brightness be 100% when, according to saturation degree degree successively decrease 20% rule be divided into a series of colour stimulus, with
And saturation degree be 100% when, according to descending luminance 20% rule be divided into a series of colour stimulus, in addition there are also white,
Totally 55 groups.
30 people for participating in questionnaire survey are divided into three groups and test.Before experiment starts, participant will be familiar with experimental situation,
And the regulative mode such as deeply breathe is carried out, after participant's mood is loosened and mood is steady, explains questionnaire survey mesh to them
, questionnaire survey process and questionnaire survey guidance, then carry out preliminary experiment, their made to deepen understanding to questionnaire survey process,
Last formal beginning color is associated with questionnaire survey with atmosphere field.
Present color is associated with questionnaire survey with atmosphere field and carries out in night closing classroom, is no more than 10 people every time and participates in experiment,
Participant is sitting in interior, and 60s is about presented in each colour stimulus, then participates in experimenter in about 30s with selected three kinds
Atmosphere field attribute, i.e., friendly-hostile, formal-arbitrarily, vivaciously-it is calm, the colour stimulus launched is carried out with Pyatyi semantic differential method
The selection of each atmosphere degree, i.e. questionnaire survey totally three multiple-choice question, carry out next colour stimulus later, test 10 colour stimulus of every completion
Allow to participate in experimenter's rest 1-2 minutes, until all colour stimulus are finished.
The questionnaire survey figure of Fig. 3 color Yu the atmosphere field degree of association is please referred to, " 0 ", which represents, is neither, illustrates to topic 2
For, i.e., it is indicated neither to feel formal with " 0 ", also not felt random；A symbol "+" table left side shows the impression of side, and "-" indicates right side
Impression；Number is the intensity (increasing or decreasing) for indicating to feel, such as: "+2 " indicate to feel very formal, and "+1 " indicates
Compare formal, vice versa.Here set piAnd pjValue be eventually all participants be averaged to a certain form and aspect selection
Value, as certain the of the same colour and a certain attribute in atmosphere field degree of association.
By being respectively compared seven kinds of form and aspect, to friendly-hostile, formal ,-the arbitrarily, active-effect cooled down is obtained respective
Pairwise comparison matrix B1、B2、B3, matrix B in the present embodiment1、B2、B3Specifically:
According to method judgment matrix B identical in step S31、B2、B3Consistency meet the requirements, and calculate separately out, square
Battle array B1Weight vectors
V1=(0.02,0.23,0.21,0.09,0.03,0.33,0.09)Z
Matrix B2Weight vectors
V2=(0.02,0.06,0.25,0.13,0.26,0.02,0.26)Z
Matrix B3Weight vectors
V3=(0.5,0.06,0.03,0.09,0.03,0.25,0.04)Z
Solution layer is obtained to the weight vectors of rule layer, matrix is expressed as:
The specific formula for calculation of total weight vectors in the step S5 are as follows:
Q=VW=(q1, q2, q3, q4, q5, q6, q7)z
Wherein, V indicates weight vectors of the solution layer to rule layer, weight vectors of the W expressiveness layer to destination layer, Q table
Show total weight vectors, qiWeight indicate scheme PiScoring event, if carrying out sequence from big to small to total score, this
A sequence is demonstrated by under the atmosphere FA (t) at a certain moment, i.e. ELC、EFH、ECFThe numerical value e of three axis1、e2、e3When determining, score value is big
The color color smaller than score value to be more suitable for appearing under the atmosphere to get a point maximum color be the optimal color of light under the atmosphere
Coloured silk, as the light color selection result of destination layer.
Step S6 calculates the brightness and saturation degree of light, the saturation degree luminance meter of light in the case where determining light coloring
Calculating formula is respectively,
Brightness:
yB=-10.12e1-8.487e2-13.966e3+84.676；
Saturation degree:
yS=7.37e1-23.573e2-16.654e3+69.962。
In the absence of conflict, the feature in embodiment and embodiment herein-above set forth can be combined with each other.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of household atmosphere field control method based on signal light control characterized by comprising
S1 obtains domestic environment atmosphere field, and the atmosphere field can be analyzed to m attribute；
S2 establishes light coloring hierarchy Model, and the model includes destination layer, rule layer and solution layer, the rule layer packet
M attribute containing the atmosphere field, the solution layer include alternative n kind light color, and the destination layer is according to atmosphere
The m attribute of enveloping field carries out the result of light color selection；
S3 constructs the rule layer to the pairwise comparison matrix A of the destination layer, and calculates the weight vectors of the matrix A；
S4 constructs the solution layer to the pairwise comparison matrix B of the rule layer, and calculates the weight vectors of the matrix B；
S5, which is multiplied using the weight vectors of the matrix A with the weight vectors of the matrix B, calculates total weight vectors, and screens
The light color that the light color of maximum weight is selected as the destination layer in total weight vectors out.
2. a kind of household atmosphere field control method based on signal light control as described in claim 1, which is characterized in that also wrap
Include: S6 calculates the brightness and saturation degree of destination layer light in step S5 according to the m attribute of the atmosphere field.
3. a kind of household atmosphere field control method based on signal light control as described in claim 1, which is characterized in that the step
Rapid S3 specifically:
S3.1 constructs the rule layer to the pairwise comparison matrix A of the destination layer, the matrix A specifically:
The matrix A is positive reciprocal matrix, element rijMeaning is eiWith ejThe comparison result of importance, wherein i, j=1,2,3,
rijIt determines as follows:
To the atmosphere field FA(t)Three attributes carry out 1 to 11 degree method processing, continue to be normalized using deviation Standardization Act
Processing obtains FA(t)Three attribute (e1、e2、e3), and make the following judgment, if ei-ej>=0, then
rij=[(ei-ej)+0.1]×10
Conversely, then
S3.2, which is used, seeks the maximum eigenvalue of matrix A feature vector corresponding with its with method approximation, method particularly includes: it seeks
The approximate characteristic vector of the matrix A
Wherein n representing matrix order,
Calculating approximate maximum eigenvalue λ is
The maximum eigenvalue λ of the matrix Amax(A)=λ；
S3.3 calculates the weight vectors of the matrix A, method particularly includes: the maximum eigenvalue λ of the matrix Amax(A) corresponding
Feature vector is U '=(u '1, u '2, u '3), the sum of each element of each row of feature vector U ' is calculated, then by feature vector U's '
The vector that each row element is normalized is required weight vectors, the weight vectors of the matrix A are as follows:
4. a kind of household atmosphere field control method based on signal light control as described in claim 1, which is characterized in that the step
Rapid S3 further include: test to the consistency of the matrix A, if being unsatisfactory for requiring to repeat step S1 reacquisition habitat environment atmosphere
Enveloping field and step S2, until the consistency to the matrix A is met the requirements.
5. a kind of household atmosphere field control method based on signal light control as described in claim 1, it is characterised in that: the atmosphere
- arbitrarily and active-three attribute of cooling down that enveloping field can be analyzed to friendly-hostile, formal.
6. a kind of household atmosphere field control method based on signal light control as described in claim 1, it is characterised in that: the side
Pattern layer is that alternative light color is red, yellow, green, cyan, blue, purple and white seven kinds of colors.
7. a kind of household atmosphere field control method based on signal light control as described in claim 1, it is characterised in that: the square
Element in battle array A is the comparison result of the importance of an attribute and another attribute in the rule layer.
8. a kind of household atmosphere field control method based on signal light control as described in claim 1, it is characterised in that: the square
Comparison knot of the element between the degree of association of each attribute in each light color in the solution layer and the rule layer in battle array B
Fruit.
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