CN109520095A - A kind of interior decoration air purification control system based on smart home - Google Patents
A kind of interior decoration air purification control system based on smart home Download PDFInfo
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- CN109520095A CN109520095A CN201811252802.6A CN201811252802A CN109520095A CN 109520095 A CN109520095 A CN 109520095A CN 201811252802 A CN201811252802 A CN 201811252802A CN 109520095 A CN109520095 A CN 109520095A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F3/00—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems
- F24F3/12—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling
- F24F3/16—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling by purification, e.g. by filtering; by sterilisation; by ozonisation
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B15/00—Suppression or limitation of noise or interference
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L2012/284—Home automation networks characterised by the type of medium used
- H04L2012/2841—Wireless
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- Automation & Control Theory (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention belongs to technical field of air purification, a kind of interior decoration air purification control system based on smart home is disclosed, photographing module, Smoke Detection module, central control module, acoustic control module, cleaning module, degerming module, alarm module, display module are provided with.The present invention acquires indoor smoke condition by Smoke Detection module in real time, and when smog degree reaches the value of setting at that time, central control module controls air purifier starting, room air is purified, automatic control is realized, not only ensure that indoor environment, but also is conducive to save electric energy;The present invention provides degerming rate by degerming module simultaneously.
Description
Technical field
The invention belongs to technical field of air purification more particularly to a kind of interior decoration air cleanings based on smart home
Control system.
Background technique
Currently, the prior art commonly used in the trade is such that
Air cleaning, which refers to, to remove haze for indoor various environmental problems offer sterilizings, depositing dust, dispels harmful finishing
Residual and the total solution such as peculiar smell, raising makes the life better, office conditions, promotes physically and mentally healthy.Indoor environmental pollution object
It mainly include radgas, mould, particulate matter, finishing residual, secondhand smoke etc. with pollution source.However, existing air cleaning
System all exists clearly disadvantageous in air cleaning rate, degerming rate, humidification rate;It can not be carried out simultaneously according to indoor smog situation
Automatic open close.
As indoor environment is had become increasingly aware of importance.How to carry out evaluation to the greenness of indoor environment is one
It must solve the problems, such as.In general, having two class methods to solve the problems, such as this: the first kind is the comprehensive assessment based on green environment,
Such as analytic hierarchy process (AHP) and fuzzy synthetic appraisement method;Second class is evaluated based on cyclicity, repeatability.In existing evaluation
In method, the assessment for greenness is often assessed respectively, finally does simple synthesis, that is, think index in different phase it
Between independently of one another.And practical situation is really not so, some stage internal indicator meeting difference is very big, will be so that assessment result generates
Deviation.
Due to the broadcast characteristic of wireless transmission medium, interference problem become limitation performance in wireless communication systems it is important because
Element, the interference management problem of wireless network are the developing important research contents of future communication technologies.
In order to carry out interference management, interference should be accurately portrayed first.In actual wireless communication system, interference is carried
Information and there is specific structure, it has power, frequency and these essential characteristics of time first, according to used specific skill
Art, interference is also possible to the feature for having space angle, polarization direction, coding mode etc. new, therefore interferes with multidimensional characteristic.Though
Right part document considers the resource and interference management of joint dimension, but lacks and characterize about the basic mathematical of interference.In addition,
In analysis, optimization and access, scheduling and the routing mechanism design of wireless network performance, it is often necessary to by abstract to wireless communication
Road interference is modeled, and comprehensively recognizing interference is the basis for carrying out abstraction.Therefore, according to future wireless system network
The features such as isomery, dynamic, intelligence are realized dry in conjunction with a variety of specific communication technologys from many aspects and angle description disturbance feature
The multi-C representation disturbed, and then specific interference space is constructed, it is design interference management method, improves the prerequisite item of network capacity
Part.
In conclusion problem of the existing technology is:
Existing air cleaning system all exists clearly disadvantageous in air cleaning rate, degerming rate;It simultaneously can not be according to room
Interior smoke condition carries out automatic open close.
In existing indoor environment evaluation, some stage internal indicator meeting difference is very big, will be so that assessment result generates partially
Difference.
In the prior art, interference management existing for wireless network does not account for multidimensional characteristic, the lower problem of the efficiency of management
Summary of the invention
In view of the problems of the existing technology, the interior decoration air cleaning based on smart home that the present invention provides a kind of
Control system.
The invention is realized in this way a kind of interior decoration air purification control system based on smart home includes:
Photographing module is connect with central control module, for being monitored in real time by camera to indoor environment;
The real time monitoring model of photographing module are as follows:
The average value of indoor environment variable in-observation period;
yiThe sample instantaneous value of i-th of indoor environment variable in-observation period, wherein mistake, it is suspicious it is non-just
True sample should be discarded without in calculating, enable yi=0;
Total sample number in N-observation period is determined by sample frequency peace mean time section;
The sample number of " correct ", m≤N in m-observation period;
Smoke Detection module, connect with central control module, for detecting smog in room air by smoke sensor device
Data information;
The smog real time information data detection method of Smoke Detection module, comprising:
1) setting in target and decision-making level has decision index system p1,p2,…,pm, target has with the network architecture layer under decision-making level
C1,C2,…,CNA index set, wherein CiIn have element
2) with target and decision-making level's decision index system ps(s=1,2 ..., m) is criterion, with CjMiddle element ejk(k=1,2 ...,
nj) it is time criterion, by index set CiMiddle index is by it to ejkInfluence power size carry out indirect dominance and compare, i.e., in criterion ps
Lower Judgement Matricies:
And weight vectors are obtained by eigenvalue method
3) for k=1,2.., niIt repeats the above steps, obtains matrix W shown in formula (1)ij。
Wherein, WijColumn vector be CiIn elementTo CjMiddle elementInfluence degree row
Sequence vector;If CjMiddle element is not by CiMiddle element influences, then Wij=0;
4) for i=1,2 ..., N;J=1,2 ..., N repeat B, can get decision rule psUnder hypermatrix W:
5) in the hypermatrix W, element WijReflect element i to a step dominance of element j;W can also be calculated2,
Element wij 2Indicate two step dominances of the element i to element j, W2Still it is classified as normalization matrix, and so on, calculate W3,
W4..., work as W∞In the presence of, W∞Jth column be exactly criterion psIn lower network framework layer each element for j limit relative weighting to
Amount, then
The wherein numerical value of every a line, as the partial weight vector of respective element;When certain a line it is all 0 when, then accordingly
Partial weight be 1;Partial weight is obtained into partial weight vector by order of elements arrangement;
Central control module, with photographing module, Smoke Detection module, acoustic control module, cleaning module, degerming module, alarm
Module, display module connection, work normally for controlling each electric elements;
The control method that central control module carries out the interference signal in photographing module, Smoke Detection module data collection
Include:
The characteristic parameter CP for choosing several interference signals, frequency F, time T including wireless signal, for observation point sky
Domain angle Θ, polarization direction Γ and coding mode C, and multidimensional coordinate system is established using parameter as reference axis, for coordinate system
Each reference axis, respectively according to the resolution ratio of each interference characteristic parameterThe unit quantity for determining respective coordinates axis, is based on
The spatial model of establishment of coordinate system multidimensional characteristic parameter, is defined as interference space: HSI=SPACE (CP1,CP2…CPN), herein
Any one vector in interference spaceIt is indicated by coordinate:
Wherein CPiFor vectorThe coordinate of certain dimension in interference space is for characteristic parameter CPiSpecific value,
For the interference signal of single mode, a single vector is expressed as in interference space:
For the interference signal of multimode, i.e. the one of interference signal or several characteristic parameters shows as with multivalue spy
Property, the set expression of interference characteristic vector is used in interference space:
Further, it is described before several interference signal characteristic parameters of selection it needs to be determined that interference signal and referring to letter
Physical parameter number on wireless signal field, frequency F, time T including wireless signal, for observation point airspace angle Θ,
Polarization direction Γ and coding mode C;
Characteristic parameter is used to establish space coordinates, the interference space of definition as reference axis are as follows:
HSI=SPACE (F, T, Θ, Γ, C);
Any one vector in interference spaceIt is indicated by the coordinate in interference characteristic space:
F therein, t, θ, γ, c correspond to the coordinate value of each dimension respectively;
For the interference signal of single mode, a single vector is expressed as in interference space:
F therein, t, θ, γ, c correspond to the coordinate value of each dimension respectively;
Interference signal is multimode signal, i.e., the one of interference signal or several characteristic parameters show as with multivalue spy
Property, the set expression of interference characteristic vector is used in interference space:
It is a set of vectors in interference space, representative is the subspace area for meeting certain Operations of Interva Constraint condition
Domain.
Acoustic control module, connect with central control module, for controlling central control module by sound to which scheduling is each
A module works;
Cleaning module is connect with central control module, for purifying to air, eliminates smog;
Degerming module, connect with central control module, carries out disinfection sterilization for the bacterium to air;
Alarm module is connect with central control module, is alarmed for air smog to be exceeded;
Display module is connect with central control module, for showing to Indoor Environment Detection data, video data.
Further, the acoustic control module includes sound recognition module, signal conversion module, signal transmission module;
Sound recognition module, user voice instructs for identification, and sound instruction signal is sent to signal conversion module;
Signal conversion module, for speech simulation signal to be converted to digital signal;
Signal transmission module, the digital signal for converting signal conversion module are sent to central control module.
Further, the sound recognition module recognition methods is as follows:
The sound pattern for obtaining sound to be identified and prestoring;
Analog signal is converted by sound to be identified, sampling processing is carried out to analog signal, passes through signal conversion module
It is converted into digital signal;
Windowing process is carried out to digital signal, converts corresponding frequency spectrum for the window signal of each window;
When in the frequency spectrum of any one window including pulse matched with sound pattern, determine from sound to be identified
Identify target sound.
Another object of the present invention is to provide a kind of interior decoration air cleanings equipped with described based on smart home
The information data processing terminal of control system.
Advantages of the present invention and good effect are as follows:
The present invention acquires indoor smoke condition by Smoke Detection module in real time, and smog degree reached the value of setting at that time
When, central control module controls air purifier starting, purifies to room air, realizes automatic control, not only guarantee
Indoor environment, and be conducive to save electric energy;The present invention provides degerming rate by degerming module simultaneously.
Data Detection and evaluation method of the invention, on the basis of establishing the index system of Enterprises ' Green Degree, to being located at
The correlation of each network layer element establishes judgment matrix, and the method based on the network architecture finds out limit hypermatrix and each bottom
Index weights obtain the indoor environment real time data of different phase, and by comparing with existing method, the data that the present invention obtains are more
Add comprehensive and reasonable.
The characteristic parameter of the present invention using description disturbance signal establishes coordinate system as reference axis, passes through the interference space of building
Model can support the analysis, expression and concrete operation of wireless communication system interference signal using vector representation and operation, from
It and is that system forms Mathematics Proof to the judgement, analysis and management of interference signal.It, can on the basis of interference space model support
Interference management techniques are carried out as system in the method by mathematics, and guidance and help is provided;It is formed using mathematical space concept dry
Spatial model is disturbed, the state of interference signal in wireless communication system is analyzed and characterized, creative proposes various dimensions
Disturbance state spatial model;Guarantee is provided to the adjusting of indoor air quality.
The monitoring data of photographing module of the present invention improves much compared with the prior art, provides data for subsequent control
Support.
Detailed description of the invention
Fig. 1 is the interior decoration air purification control system structural frames provided in an embodiment of the present invention based on smart home
Figure.
In figure: 1, photographing module;2, Smoke Detection module;3, central control module;4, acoustic control module;5, cleaning module;
6, degerming module;7, alarm module;8, display module.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Existing air cleaning system all exists clearly disadvantageous in air cleaning rate, degerming rate;It simultaneously can not be according to room
Interior smoke condition carries out automatic open close.
As shown in Figure 1, the interior decoration air purification control system provided in an embodiment of the present invention based on smart home, packet
It includes: photographing module 1, Smoke Detection module 2, central control module 3, acoustic control module 4, cleaning module 5, degerming module 6, alarm mould
Block 7, display module 8.
Photographing module 1 is connect with central control module 3, for being monitored in real time by camera to indoor environment;
The real time monitoring model of photographing module are as follows:
The average value of indoor environment variable in-observation period;
yiThe sample instantaneous value of i-th of indoor environment variable in-observation period, wherein mistake, it is suspicious it is non-just
True sample should be discarded without in calculating, enable yi=0;
Total sample number in N-observation period is determined by sample frequency peace mean time section;
The sample number of " correct ", m≤N in m-observation period;
Smoke Detection module 2 is connect with central control module 3, for detecting cigarette in room air by smoke sensor device
Mist data information;
The smog real time information data detection method of Smoke Detection module, comprising:
A. setting in target and decision-making level has decision index system p1,p2,…,pm, target has with the network architecture layer under decision-making level
C1,C2,…,CNA index set, wherein CiIn have element
B. with target and decision-making level's decision index system ps(s=1,2 ..., m) is criterion, with CjMiddle element ejk(k=1,2 ...,
nj) it is time criterion, by index set CiMiddle index is by it to ejkInfluence power size carry out indirect dominance and compare, i.e., in criterion ps
Lower Judgement Matricies:
And weight vectors are obtained by eigenvalue method
C. for k=1,2.., niIt repeats the above steps, obtains matrix W shown in formula (1)ij。
Wherein, WijColumn vector be CiIn elementTo CjMiddle memberInfluence degree sequence
Vector;If CjMiddle element is not by CiMiddle element influences, then Wij=0;
D. for i=1,2 ..., N;J=1,2 ..., N repeat B, can get decision rule psUnder hypermatrix W:
E. in the hypermatrix W, element WijReflect element i to a step dominance of element j;W can also be calculated2,
Element wij 2Indicate two step dominances of the element i to element j, W2Still it is classified as normalization matrix, and so on, calculate W3,
W4..., work as W∞In the presence of, W∞Jth column be exactly criterion psIn lower network framework layer each element for j limit relative weighting to
Amount, then
The wherein numerical value of every a line, as the partial weight vector of respective element;When certain a line it is all 0 when, then accordingly
Partial weight be 1;Partial weight is obtained into partial weight vector by order of elements arrangement;
Central control module 3, with photographing module 1, Smoke Detection module 2, acoustic control module 4, cleaning module 5, degerming module
6, alarm module 7, display module 8 connect, and work normally for controlling each electric elements;
The control method that central control module carries out the interference signal in photographing module, Smoke Detection module data collection
Include:
The characteristic parameter CP for choosing several interference signals, frequency F, time T including wireless signal, for observation point sky
Domain angle Θ, polarization direction Γ and coding mode C, and multidimensional coordinate system is established using parameter as reference axis, for coordinate system
Each reference axis, respectively according to the resolution ratio of each interference characteristic parameterThe unit quantity for determining respective coordinates axis, is based on
The spatial model of establishment of coordinate system multidimensional characteristic parameter, is defined as interference space: HSI=SPACE (CP1,CP2…CPN), herein
Any one vector in interference spaceIt is indicated by coordinate:
Wherein CPiFor vectorThe coordinate of certain dimension in interference space is for characteristic parameter CPiSpecific value,
For the interference signal of single mode, a single vector is expressed as in interference space:
For the interference signal of multimode, i.e. the one of interference signal or several characteristic parameters shows as with multivalue spy
Property, the set expression of interference characteristic vector is used in interference space:
Further, it is described before several interference signal characteristic parameters of selection it needs to be determined that interference signal and referring to letter
Physical parameter number on wireless signal field, frequency F, time T including wireless signal, for observation point airspace angle Θ,
Polarization direction Γ and coding mode C;
Characteristic parameter is used to establish space coordinates, the interference space of definition as reference axis are as follows:
HSI=SPACE (F, T, Θ, Γ, C);
Any one vector in interference spaceIt is indicated by the coordinate in interference characteristic space:
F therein, t, θ, γ, c correspond to the coordinate value of each dimension respectively;
For the interference signal of single mode, a single vector is expressed as in interference space:
F therein, t, θ, γ, c correspond to the coordinate value of each dimension respectively;
Interference signal is multimode signal, i.e., the one of interference signal or several characteristic parameters show as with multivalue spy
Property, the set expression of interference characteristic vector is used in interference space:
It is a set of vectors in interference space, representative is the subspace area for meeting certain Operations of Interva Constraint condition
Domain.
Acoustic control module 4 is connect with central control module 3, is dispatched for controlling central control module 3 by sound
Modules work;
Cleaning module 5 is connect with central control module 3, for purifying to air, eliminates smog;
Degerming module 6 is connect with central control module 3, is carried out disinfection sterilization for the bacterium to air;
Alarm module 7 is connect with central control module 3, is alarmed for air smog to be exceeded;
Display module 8 is connect with central control module 3, for showing to Indoor Environment Detection data, video data
Show.
Acoustic control module 4 provided by the invention includes sound recognition module, signal conversion module, signal transmission module;
Sound recognition module, user voice instructs for identification, and sound instruction signal is sent to signal conversion module;
Signal conversion module, for speech simulation signal to be converted to digital signal;
Signal transmission module, the digital signal for converting signal conversion module are sent to central control module.
Sound recognition module recognition methods provided by the invention is as follows:
The sound pattern for obtaining sound to be identified and prestoring;
Analog signal is converted by sound to be identified, sampling processing is carried out to analog signal, passes through signal conversion module
It is converted into digital signal;
Windowing process is carried out to digital signal, converts corresponding frequency spectrum for the window signal of each window;
When in the frequency spectrum of any one window including pulse matched with sound pattern, determine from sound to be identified
Identify target sound.
When the invention works, photographing module 1 monitors indoor environment in real time by camera;Smoke Detection module 2
Smoke data information in room air is detected by smoke sensor device;And video data and smoke data are sent to central control
Module 3 is analyzed and processed, and starts alarm module 7 if exceeded, and user dispatches cleaning module 5 by acoustic control module 4 and removes
Bacterium module 6 carries out purification degerming, shows finally by display module 8 to Indoor Environment Detection data, video data.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (6)
1. a kind of interior decoration air purification control system based on smart home, which is characterized in that described to be based on smart home
Interior decoration air purification control system include:
Photographing module is connect with central control module, for being monitored in real time by camera to indoor environment;Photographing module
Real time monitoring model are as follows:
The average value of indoor environment variable in-observation period;
yiThe sample instantaneous value of i-th of indoor environment variable in-observation period, wherein mistake, suspicious incorrect sample
It should be discarded without in calculating, enable yi=0;
Total sample number in N-observation period is determined by sample frequency peace mean time section;
The sample number of " correct ", m≤N in m-observation period;
Smoke Detection module, connect with central control module, for detecting smoke data in room air by smoke sensor device
Information;
The smog real time information data detection method of Smoke Detection module, comprising:
1) setting in target and decision-making level has decision index system p1,p2,…,pm, the network architecture layer under target and decision-making level has C1,
C2,…,CNA index set, wherein CiIn have element
2) with target and decision-making level's decision index system ps(s=1,2 ..., m) is criterion, with CjMiddle element ejk(k=1,2 ..., nj) be
Secondary criterion, by index set CiMiddle index is by it to ejkInfluence power size carry out indirect dominance and compare, i.e., in criterion psLower structure
Make judgment matrix:
And weight vectors are obtained by eigenvalue method
3) for k=1,2.., niIt repeats the above steps, obtains matrix W shown in formula (1)ij。
Wherein, WijColumn vector be CiIn elementTo CjMiddle elementInfluence degree sort to
Amount;If CjMiddle element is not by CiMiddle element influences, then Wij=0;
4) for i=1,2 ..., N;J=1,2 ..., N repeat B, obtain decision rule psUnder hypermatrix W:
5) in the hypermatrix W, element WijReflect element i to a step dominance of element j;W can also be calculated2, element
wij 2Indicate two step dominances of the element i to element j, W2Still it is classified as normalization matrix, and so on, calculate W3, W4..., work as W∞In the presence of, W∞Jth column be exactly criterion psIn lower network framework layer each element for j limit relative weighting vector, then
The wherein numerical value of every a line, as the partial weight vector of respective element;When certain a line it is all 0 when, then corresponding office
Portion's weight is 1;Partial weight is obtained into partial weight vector by order of elements arrangement;
Central control module connect with photographing module, Smoke Detection module, for controlling photographing module, Smoke Detection module
Each electric elements work normally;
The control method packet that central control module carries out the interference signal in photographing module, Smoke Detection module data collection
It includes:
The characteristic parameter CP for choosing several interference signals, frequency F, time T including wireless signal, for observation point airspace angle
Θ, polarization direction Γ and coding mode C are spent, and establishes multidimensional coordinate system for parameter as reference axis, for each of coordinate system
A reference axis, respectively according to the resolution ratio of each interference characteristic parameterIt determines the unit quantity of respective coordinates axis, is based on coordinate
System establishes the spatial model of multidimensional characteristic parameter, is defined as interference space: HSI=SPACE (CP1,CP2…CPN), it interferes herein
Any one vector in spaceIt is indicated by coordinate:
Wherein CPiFor vectorThe coordinate of certain dimension in interference space is for characteristic parameter CPiSpecific value, for
The interference signal of single mode is expressed as a single vector in interference space:
For the interference signal of multimode, i.e. the one of interference signal or several characteristic parameters shows as with multivalue characteristic,
The set expression of interference characteristic vector is used in interference space:
2. the interior decoration air purification control system based on smart home as described in claim 1, which is characterized in that it is described
It needs to be determined that interference signal and contrast signal are on wireless signal field before several interference signal characteristic parameters chosen
Physical parameter, frequency F, time T including wireless signal, for observation point airspace angle Θ, polarization direction Γ and coding staff
Formula C;
Characteristic parameter is used to establish space coordinates, the interference space of definition as reference axis are as follows:
HSI=SPACE (F, T, Θ, Γ, C);
Any one vector in interference spaceIt is indicated by the coordinate in interference characteristic space:
F therein, t, θ, γ, c correspond to the coordinate value of each dimension respectively;
For the interference signal of single mode, a single vector is expressed as in interference space:
F therein, t, θ, γ, c correspond to the coordinate value of each dimension respectively;
Interference signal is multimode signal, i.e. the one of interference signal or several characteristic parameters shows as with multivalue characteristic,
The set expression of interference characteristic vector is used in interference space:
It is a set of vectors in interference space, representative is the subspace region for meeting certain Operations of Interva Constraint condition.
3. the interior decoration air purification control system based on smart home as described in claim 1, which is characterized in that the base
In the interior decoration air purification control system of smart home further include:
Acoustic control module, connect with central control module, dispatches each mould for controlling central control module by sound
Block works;
Cleaning module is connect with central control module, for purifying to air, eliminates smog;
Degerming module, connect with central control module, carries out disinfection sterilization for the bacterium to air;
Alarm module is connect with central control module, is alarmed for air smog to be exceeded;
Display module is connect with central control module, for showing to Indoor Environment Detection data, video data.
4. the interior decoration air purification control system based on smart home as described in claim 1, which is characterized in that the sound
Controlling module includes sound recognition module, signal conversion module, signal transmission module;
Sound recognition module, user voice instructs for identification, and sound instruction signal is sent to signal conversion module;
Signal conversion module, for speech simulation signal to be converted to digital signal;
Signal transmission module, the digital signal for converting signal conversion module are sent to central control module.
5. the interior decoration air purification control system based on smart home as claimed in claim 3, which is characterized in that the sound
Sound identification module recognition methods is as follows:
The sound pattern for obtaining sound to be identified and prestoring;
Analog signal is converted by sound to be identified, sampling processing is carried out to analog signal, is converted by signal conversion module
For digital signal;
Windowing process is carried out to digital signal, converts corresponding frequency spectrum for the window signal of each window;
When in the frequency spectrum of any one window including pulse matched with sound pattern, determination is identified from sound to be identified
Target sound out.
6. a kind of information data equipped with the interior decoration air purification control system described in claim 1 based on smart home
Processing terminal.
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