CN109283849A - A kind of Intelligent house system - Google Patents
A kind of Intelligent house system Download PDFInfo
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- CN109283849A CN109283849A CN201811051091.6A CN201811051091A CN109283849A CN 109283849 A CN109283849 A CN 109283849A CN 201811051091 A CN201811051091 A CN 201811051091A CN 109283849 A CN109283849 A CN 109283849A
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- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 6
- 238000012163 sequencing technique Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 3
- 239000000284 extract Substances 0.000 claims description 3
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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] or computer integrated manufacturing [CIM]
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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
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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Abstract
The present invention discloses a kind of Intelligent house system, including the first image collection module, the second image collection module, preprocessing module, brightness acquisition module, temperature and humidity acquisition module, voice obtain module, integrated contrast module, keyword-extraction module, database, processor and controlling terminal；Preprocessing module is connect with the first image collection module, the second image collection module and database respectively, processor is connect with preprocessing module, brightness acquisition module, temperature and humidity acquisition module, keyword-extraction module, database and controlling terminal respectively, keyword-extraction module obtains module with voice by integrated contrast module and connect, and integrated contrast module is connect with database.The present invention can carry out temperature and humidity in intelligent switch control and each room to the door in house, brightness be adjusted, and improve the comfort level and safety of inhabitation, have the characteristics that intelligentized, substantially increase the satisfaction that resident lives to house.
Description
Technical field
The invention belongs to Intelligent house technical fields, are related to a kind of Intelligent house system.
Background technique
House is people or the building for storing thing.House is the matrix of family, and house is the sustenance of human survival,
Here people can avoid all extraneous interference and the relatives of oneself enjoy untrammeled life.
With the continuous improvement of people's living standards, the living require-ments in house are gradually increased in people, existing house is
The environment that people live, people have more than the time of half for one day in house, and the environment quality in house directly influences people
The comfort level lived, there is a problem of that intelligent characteristic is poor, safety is low and comfort is poor, Wu Faman in existing house
The life requirement of sufficient people's high quality, it is therefore proposed that a kind of Intelligent house system.
Summary of the invention
The purpose of the present invention is to provide Intelligent house system, the intelligent characteristic for solving existing house is poor, easypro
The poor and low safety problem of appropriateness.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of Intelligent house system, including the first image collection module, the second image collection module, preprocessing module,
Brightness acquisition module, temperature and humidity acquisition module, voice obtain module, integrated contrast module, keyword-extraction module, database,
Processor and controlling terminal；
Preprocessing module is connect with the first image collection module, the second image collection module and database respectively, processor
Respectively with preprocessing module, brightness acquisition module, temperature and humidity acquisition module, keyword-extraction module, database and controlling terminal
Connection, keyword-extraction module obtain module with voice by integrated contrast module and connect, and integrate contrast module and database connects
It connects；
First image collection module is high-definition camera, for acquiring the image information of personnel at entry door in real time, and will
Personnel's image information of acquisition is sent to preprocessing module；
Second image collection module includes several video capture units, and described image snap unit is separately mounted to indoor
In each room, for shooting indoor image information, and by the image information and the video capture list in each room of shooting
The corresponding number of member is sent to preprocessing module, wherein each room is numbered according to the sequence of setting, the room is corresponding
Number it is identical with the number for the video capture unit being mounted in the room, second image collection module acquires image
Time interval is Ts；
Preprocessing module be used for received first image collection module send image information, to received image information into
Row screening filters out the highest image of clarity, and the image filtered out is carried out equal area partition, is divided into several subgraphs
The subgraph after division is numbered according to sequence from left to right, 1,2 ..., i ..., n is followed successively by, to each subgraph for picture
As carrying out feature extraction, the feature constitutive characteristic subclass A extracted in each subgraphi(ai1,ai2,...,aij,...,aiM),
aiJ is expressed as j-th of feature in i-th of subgraph, aiM in m is expressed as the quantity of all features in i-th of subgraph, in advance
The corresponding feature of subgraph each in personnel's image is sent to processor by processing module, meanwhile, receive the second image collection module
In image information in each room and send image information in the room video capture unit number, will be in each room
Image information is numbered the image of same video capture unit photographs according to the chronological order for receiving image, respectively
1,2 ..., k ..., h, and by the image after being numbered in each room successively with standard room that room number is corresponded in database
Image compares, with judge in room whether someone, if the image acquired in each room with correspond to room volume in database
Number standard room image it is identical, then show each room nobody, if conversely, the then wherein image and standard room in a room
Image is different, then shows someone in the room, as someone in room, by acquiring the sequencing of picture period, by kth
The position of personnel compares in -1 period of the position of personnel and kth in a period, if when 1,2 ..., k ..., h
Between personnel positions change in the two or more period in section, then show that personnel are awake and family someone, conversely, then showing
Personnel sleep soundly, and preprocessing module is by whether someone, personnel state and room number are sent to processor in each room；
If brightness acquisition module includes dry brightness acquisition unit, the brightness acquisition unit is luminance sensor, is pacified respectively
In each room, for the luminance information in each room of real-time detection, and the luminance information that will test is sent to processor,
In, the corresponding number of the brightness acquisition unit being mounted in each room number corresponding with installed room is identical；
Temperature and humidity acquisition module includes several temperature and humidity collection units, and each temperature and humidity collection unit is separately mounted to each room
Interior, the temperature and humidity collection unit is Temperature Humidity Sensor, for acquiring the temperature and humidity in each room in real time, and will acquisition
Temperature and humidity be sent to processor, wherein the temperature and humidity collection unit being mounted in each room it is corresponding number and pacified
It is identical to fill the corresponding number in room；
It includes several voice collecting units that voice, which obtains module, and the voice messaging acquisition unit is mounted in each room,
Integrated contrast module is sent to for acquiring the voice messaging in room in real time, and by the voice messaging of acquisition, wherein each voice
The corresponding number of acquisition unit is identical as the room number of the voice collecting unit is placed；
Integrated contrast module is used to receive the voice messaging that each voice collecting unit is sent, and adopts to received each voice messaging
The volume in voice messaging that collection unit is sent is identified, and the volume after identification is compared, and filters out volume highest
Voice messaging, extract the highest voice messaging of volume be sent to keyword-extraction module；
Keyword-extraction module is used to receive the highest voice messaging of volume that integrated contrast module is sent, to received language
Message breath carries out text conversion, the set of keywords stored in the text and database after conversion is compared, to extract
The corresponding control instruction of keyword in voice messaging, and corresponding control instruction is sent to processor；
Database is for storing the standard room image in each room, the brightness in the case where there is unmanned state in room, temperature
Humidity parameter range stores the standard feature subclass B in the corresponding each subgraph of different home memberfi(bfi1,bfi2,...,
bfij,...,bfiM), f is expressed as the corresponding number of kinsfolk, and respectively 1,2 ..., f, bfiJ be expressed as f-th of family at
Corresponding j-th of the feature of i-th of subgraph of member, and several voiced keyword set are stored, voiced keyword set is by several
Keyword composition, different keywords correspond to different control instructions；
Processor is used to receive the corresponding feature of each subgraph for being located at personnel at entry door of preprocessing module transmission, and
Feature by received each subgraph feature respectively with the resident kinsfolk stored in database compares, and is compared
Character subset closes B 'fi(b′fi1,b′fi2,...,b′fij,...,b′fiM), b 'fiJ is expressed as being located at the of the personnel at entry door
I-th of subgraph is j-th corresponding in f-th of the kinsfolk stored in corresponding j-th of the feature of i subgraph and database
The reduced value of feature, if being located at the stored in j-th feature and database in i-th of the subgraph for the personnel that the registered permanent residence goes out
J-th of feature in f kinsfolk in i-th of subgraph is identical, then takes b 'fiJ is equal to 1, conversely, being equal to 0, processor passes through
Contrast characteristic's subclass and each character subset close corresponding specific gravity, count the joint match system of member in the personnel and family
Number, processor filter out the joint match coefficient between the image and all kinsfolks, it is highest to filter out joint match coefficient
Joint match coefficient, and the joint match coefficient threshold of highest joint match coefficient and setting is compared, if more than setting
Fixed joint match matching coefficient, then processor sends control instruction to controlling terminal；
Processor receives the control instruction that integrated contrast module is sent, the control that processor is sent according to integrated contrast module
Instruction controlling terminal is controlled, and receive preprocessing module transmission each room in whether someone, personnel state and room
Between number information, and receive brightness acquisition module send each room in brightness, receive temperature and humidity acquisition module send it is each
Temperature and humidity information in room, processor according in each room whether someone and personnel state, if personnel are in the room
Activity then carries out temperature, humidity and Luminance Analysis to the room of someone, if temperature, humidity and brightness are not being set respectively
In the range of, then processor sends control instruction to controlling terminal, with to someone room in temperature, humidity and brightness
It is adjusted, if personnel remain static, the adjusting of temperature and humidity is carried out to the room；
Controlling terminal is used to receive the control instruction of processor transmission, controls the switch of resident's entry door and right
Temperature, humidity and brightness in each room are adjusted.
Further, corresponding feature accounts for different specific gravity respectively in the subgraph of different home member, is followed successively by gbfi1,
gbfi2,...,gbfij,...,gbfiM, gbfi1+gbfi2+...+gbfij+...+gbfiM=1.
Further, the calculation formula of the joint match coefficient is
b′fiJ is expressed as f-th stored in corresponding j-th of the feature of i-th of subgraph and database that are located at the personnel at entry door
The reduced value of corresponding j-th of the feature of i-th of subgraph, gb in kinsfolkfiJ is expressed as i-th of son of f-th of kinsfolk
Specific gravity shared by corresponding j-th of the feature of image.
Further, the method for the preprocessing module screening highest image of clarity, comprising the following steps:
S1, the personnel's image information for successively receiving the transmission of the first image collection module；
S2, according to receiving time sequencing, successively the clarity of received image is identified；
S3, the clarity of the clarity of previous image and latter image is compared, rejects the low image of clarity, protects
Stay the image that clarity is high；
S4, the high image of clarity is successively compared with the clarity of next image, retains the high image of clarity,
Until when remaining amount of images is 1, using remaining image as the highest image information of clarity.
Further, if the controlling terminal includes register one's residence door control unit, several temperature and humidity adjustment units and dry brightness
Unit is adjusted, door control unit of registering one's residence for controlling the switch of entry door, install respectively by several temperature and humidity adjustment units
In each room, for the temperature and humidity in each room to be adjusted, brightness adjusting unit is separately mounted in each room, is used for
Brightness in each room is adjusted.
Beneficial effects of the present invention:
It is provided by the invention to be based on Intelligent house system, pass through the first image collection module, preprocessing module and processing
Device is acquired the image at entry door, and the image of acquisition is carried out feature extraction, deposits in the feature and database of extraction
The feature of the kinsfolk of storage compares, to count the joint match coefficient with each kinsfolk, convenient for identifying personnel identity,
Once personnel identity identifies successfully at entry door, then processor sends control instruction and carries out switch control on the door, realizes on the door
Intelligentized control method improves safety and enabling efficiency, avoids the problem that key loss；
Module, integrated contrast module are obtained by voice and gathers keyword-extraction module, to the voice of personnel in room
Identification and the extraction of keyword are carried out, convenient for identification voice messaging, the effect of voice control is realized, improves the convenience of control
Property；
By the second image collection module, preprocessing module, processor and gather temperature and humidity acquisition module and brightness acquisition
Module, according in each room whether someone and personnel state, someone room carry out environment adjusting, improve inhabitation
Comfort level, has the characteristics that intelligentized, substantially increases the satisfaction that resident lives to house.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of schematic diagram of Intelligent house system of the present invention.
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, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, a kind of Intelligent house system, including the first image collection module, the second image obtain mould
Block, preprocessing module, brightness acquisition module, temperature and humidity acquisition module, voice obtain module, integrated contrast module, keyword and mention
Modulus block, database, processor and controlling terminal；
Preprocessing module is connect with the first image collection module, the second image collection module and database respectively, processor
Respectively with preprocessing module, brightness acquisition module, temperature and humidity acquisition module, keyword-extraction module, database and controlling terminal
Connection, keyword-extraction module obtain module with voice by integrated contrast module and connect, and integrate contrast module and database connects
It connects；
First image collection module is high-definition camera, is mounted at entry door, for acquiring the figure of personnel at entry door
As information, and personnel's image information of acquisition is sent to preprocessing module；
Second image collection module includes several video capture units, and described image snap unit is separately mounted to indoor
In each room, for shooting indoor image information, and by the image information and the video capture list in each room of shooting
The corresponding number of member is sent to preprocessing module, wherein each room is numbered according to the sequence of setting, the room is corresponding
Number it is identical with the number for the video capture unit being mounted in the room, second image collection module acquires image
Time interval is Ts；
Preprocessing module be used for received first image collection module send image information, to received image information into
Row screening filters out the highest image of clarity, and the image filtered out is carried out equal area partition, is divided into several subgraphs
The subgraph after division is numbered according to sequence from left to right, 1,2 ..., i ..., n is followed successively by, to each subgraph for picture
As carrying out feature extraction, the feature constitutive characteristic subclass A extracted in each subgraphi(ai1,ai2,...,aij,...,aiM),
aiJ is expressed as j-th of feature in i-th of subgraph, aiM in m is expressed as the quantity of all features in i-th of subgraph, in advance
The corresponding feature of subgraph each in personnel's image is sent to processor by processing module, meanwhile, receive the second image collection module
In image information in each room and send image information in the room video capture unit number, will be in each room
Image information is numbered the image of same video capture unit photographs according to the chronological order for receiving image, respectively
1,2 ..., k ..., h, and by the image after being numbered in each room successively with standard room that room number is corresponded in database
Image compares, with judge in room whether someone, if the image acquired in each room with correspond to room volume in database
Number standard room image it is identical, then show each room nobody, if conversely, the then wherein image and standard room in a room
Image is different, then shows someone in the room, as someone in room, by acquiring the sequencing of picture period, by kth
The position of personnel compares in -1 period of the position of personnel and kth in a period, if when 1,2 ..., k ..., h
Between personnel positions change in the two or more period in section, then show that personnel are awake and family someone, conversely, then showing
Personnel sleep soundly, and preprocessing module is by whether someone, personnel state and room number are sent to processor in each room；
If brightness acquisition module includes dry brightness acquisition unit, the brightness acquisition unit is luminance sensor, is pacified respectively
In each room, for the luminance information in each room of real-time detection, and the luminance information that will test is sent to processor,
In, the corresponding number of the brightness acquisition unit being mounted in each room number corresponding with installed room is identical；
Temperature and humidity acquisition module includes several temperature and humidity collection units, and each temperature and humidity collection unit is separately mounted to each room
Interior, the temperature and humidity collection unit is Temperature Humidity Sensor, for acquiring the temperature and humidity in each room in real time, and will acquisition
Temperature and humidity be sent to processor, wherein the temperature and humidity collection unit being mounted in each room it is corresponding number and pacified
It is identical to fill the corresponding number in room；
It includes several voice collecting units that voice, which obtains module, and the voice messaging acquisition unit is mounted in each room,
Integrated contrast module is sent to for acquiring the voice messaging in room in real time, and by the voice messaging of acquisition, wherein each voice
The corresponding number of acquisition unit is identical as the room number of the voice collecting unit is placed；
Integrated contrast module is used to receive the voice messaging that each voice collecting unit is sent, and adopts to received each voice messaging
The volume in voice messaging that collection unit is sent is identified, and the volume after identification is compared, and filters out volume highest
Voice messaging, extract the highest voice messaging of volume be sent to keyword-extraction module；
Keyword-extraction module is used to receive the highest voice messaging of volume that integrated contrast module is sent, to received language
Message breath carries out text conversion, the set of keywords stored in the text and database after conversion is compared, to extract
The corresponding control instruction of keyword in voice messaging, and corresponding control instruction is sent to processor；
Database is for storing the standard room image in each room, the brightness in the case where there is unmanned state in room, temperature
Humidity parameter range stores the standard feature subclass B in the corresponding each subgraph of different home memberfi(bfi1,bfi2,...,
bfij,...,bfiM), f is expressed as the corresponding number of kinsfolk, and respectively 1,2 ..., f, bfiJ be expressed as f-th of family at
Member corresponding j-th of the feature of i-th of subgraph, and in the subgraph of different home member corresponding feature account for respectively it is different
Specific gravity is followed successively by gbfi1,gbfi2,...,gbfij,...,gbfiM, gbfi1+gbfi2+...+gbfij+...+gbfiM=1, and deposit
Store up several voiced keyword set, wherein the standard room image be it is indoor nobody when image, voiced keyword set by
Several keyword compositions, different keywords correspond to different control instructions；
Processor is used to receive the corresponding feature of each subgraph for being located at personnel at entry door of preprocessing module transmission, and
Feature by received each subgraph feature respectively with the resident kinsfolk stored in database compares, and is compared
Character subset closes B 'fi(b′fi1,b′fi2,...,b′fij,...,b′fiM), b 'fiJ is expressed as being located at the of the personnel at entry door
I-th of subgraph is j-th corresponding in f-th of the kinsfolk stored in corresponding j-th of the feature of i subgraph and database
The reduced value of feature, if being located at the stored in j-th feature and database in i-th of the subgraph for the personnel that the registered permanent residence goes out
J-th of feature in f kinsfolk in i-th of subgraph is identical, then takes b 'fiJ is equal to 1, conversely, being equal to 0, processor passes through
Contrast characteristic's subclass and each character subset close corresponding specific gravity, count the joint match system of member in the personnel and family
Number, the calculation formula of the joint match coefficient areb′fiJ is indicated
For f-th of the kinsfolk stored in corresponding j-th of the feature of i-th of subgraph and database of the personnel at entry door
In corresponding j-th of the feature of i-th of subgraph reduced value, gbfiI-th of subgraph that j is expressed as f-th of kinsfolk is corresponding
J-th of feature shared by specific gravity, processor filters out the joint match coefficient between the image and all kinsfolks, filters out
The highest joint match coefficient of joint match coefficient, and by the joint match coefficient threshold of highest joint match coefficient and setting
It compares, if more than the joint match matching coefficient of setting, then processor sends control instruction to controlling terminal；
Processor receives the control instruction that integrated contrast module is sent, the control that processor is sent according to integrated contrast module
Instruction controlling terminal is controlled, and receive preprocessing module transmission each room in whether someone, personnel state and room
Between number information, and receive brightness acquisition module send each room in brightness, receive temperature and humidity acquisition module send it is each
Temperature and humidity information in room, processor according in each room whether someone and personnel state, if personnel are in the room
Activity then carries out temperature, humidity and Luminance Analysis to the room of someone, if temperature, humidity and brightness are not being set respectively
In the range of, then processor sends control instruction to controlling terminal, realize to someone room in temperature, humidity and bright
Degree is adjusted, if personnel remain static, the adjusting of temperature and humidity is carried out to the room, guarantees the temperature in room
Meet the needs of people, improves the comfort of personnel；
Controlling terminal is used to receive the control instruction of processor transmission, controls the switch of resident's entry door and right
Temperature, humidity and brightness in each room are adjusted, and guarantee that the environment in each room is met the requirements, and improve personnel's inhabitation
Comfort, the controlling terminal includes registering one's residence door control unit, several temperature and humidity adjustment units and several brightness adjusting units,
For door control unit of registering one's residence for controlling the switch of entry door, several temperature and humidity adjustment units are separately mounted to each room
Interior, for the temperature and humidity in each room to be adjusted, brightness adjusting unit is separately mounted in each room, for each room
Interior brightness is adjusted.
Wherein, the method for the preprocessing module screening highest image of clarity, comprising the following steps:
S1, the personnel's image information for successively receiving the transmission of the first image collection module；
S2, according to receiving time sequencing, successively the clarity of received image is identified；
S3, the clarity of the clarity of previous image and latter image is compared, rejects the low image of clarity, protects
Stay the image that clarity is high；
S4, the high image of clarity is successively compared with the clarity of next image, retains the high image of clarity,
Until when remaining amount of images is 1, using remaining image as the highest image information of clarity.
The above content is just an example and description of the concept of the present invention, affiliated those skilled in the art
It makes various modifications or additions to the described embodiments or is substituted in a similar manner, without departing from invention
Design or beyond the scope defined by this claim, be within the scope of protection of the invention.
Claims (5)
1. a kind of Intelligent house system, it is characterised in that: including the first image collection module, the second image collection module, pre-
Processing module, brightness acquisition module, temperature and humidity acquisition module, voice obtain module, integrated contrast module, keyword extraction mould
Block, database, processor and controlling terminal；
Preprocessing module is connect with the first image collection module, the second image collection module and database respectively, processor difference
It is connect with preprocessing module, brightness acquisition module, temperature and humidity acquisition module, keyword-extraction module, database and controlling terminal,
Keyword-extraction module obtains module with voice by integrated contrast module and connect, and integrated contrast module is connect with database；
First image collection module is high-definition camera, for acquiring the image information of personnel at entry door in real time, and will acquisition
Personnel's image information be sent to preprocessing module；
Second image collection module includes several video capture units, and described image snap unit is separately mounted to indoor each room
In, for shooting indoor image information, and by the image information and the video capture unit pair in each room of shooting
The number answered is sent to preprocessing module, wherein each room is numbered according to the sequence of setting, the corresponding volume in the room
It is number identical as the number for the video capture unit being mounted in the room, the time of the second image collection module acquisition image
Between be divided into Ts；
Preprocessing module is used for the image information that received first image collection module is sent, and sieves to received image information
Choosing filters out the highest image of clarity, and the image filtered out is carried out equal area partition, is divided into several subgraphs, right
Subgraph after division is numbered according to sequence from left to right, is followed successively by 1,2 ..., i ..., n, carries out to each subgraph
Feature extraction, the feature constitutive characteristic subclass A extracted in each subgraphi(ai1,ai2,...,aij,...,aiM), aiJ is indicated
For j-th of feature in i-th of subgraph, aiM in m is expressed as the quantity of all features in i-th of subgraph, pre-processes mould
The corresponding feature of subgraph each in personnel's image is sent to processor by block, meanwhile, receive each room in the second image collection module
The number of interior image information and the video capture unit for sending image information in the room, the image in each room is believed
Breath is numbered the image of same video capture unit photographs according to the chronological order for receiving image, and respectively 1,
2 ..., k ..., h, and by the image after being numbered in each room successively with standard room figure that room number is corresponded in database
As comparing, with judge in room whether someone, if each room in the image of acquisition with correspond to room number in database
Standard room image it is identical, then show each room nobody, if conversely, the then wherein image and standard room figure in a room
As difference, then show someone in the room, as someone in room, by acquiring the sequencing of picture period, by k-th
The position of personnel compares in -1 period of the position of personnel and kth in period, if 1,2 ..., k ..., h time
Personnel positions change in the two or more period in section, then show that personnel are awake and family someone, conversely, then showing people
Member sleep soundly, and preprocessing module is by whether someone, personnel state and room number are sent to processor in each room；
If brightness acquisition module includes dry brightness acquisition unit, the brightness acquisition unit is luminance sensor, is separately mounted to
In each room, for the luminance information in each room of real-time detection, and the luminance information that will test is sent to processor, wherein
The corresponding number of the brightness acquisition unit being mounted in each room number corresponding with installed room is identical；
Temperature and humidity acquisition module includes several temperature and humidity collection units, and each temperature and humidity collection unit is separately mounted in each room,
The temperature and humidity collection unit is Temperature Humidity Sensor, for acquiring the temperature and humidity in each room in real time, and by acquisition
Temperature and humidity is sent to processor, wherein the temperature and humidity collection unit being mounted in each room is corresponding to be numbered and installed
The corresponding number in room is identical；
It includes several voice collecting units that voice, which obtains module, and the voice messaging acquisition unit is mounted in each room, is used for
Voice messaging in acquisition room in real time, and the voice messaging of acquisition is sent to integrated contrast module, wherein each voice collecting
The corresponding number of unit is identical as the room number of the voice collecting unit is placed；
Integrated contrast module is used to receive the voice messaging that each voice collecting unit is sent, and acquires to received each voice messaging single
The volume in voice messaging that member is sent is identified, and the volume after identification is compared, and filters out the highest language of volume
Message breath extracts the highest voice messaging of volume and is sent to keyword-extraction module；
Keyword-extraction module is used to receive the highest voice messaging of volume that integrated contrast module is sent, and believes received voice
Breath carries out text conversion, the set of keywords stored in the text and database after conversion is compared, to extract voice
The corresponding control instruction of keyword in information, and corresponding control instruction is sent to processor；
Database is for storing the standard room image in each room, the brightness in the case where there is unmanned state in room, temperature and humidity
Parameter area stores the standard feature subclass B in the corresponding each subgraph of different home memberfi(bfi1,bfi2,...,
bfij,...,bfiM), f is expressed as the corresponding number of kinsfolk, and respectively 1,2 ..., f, bfiJ be expressed as f-th of family at
Corresponding j-th of the feature of i-th of subgraph of member, and several voiced keyword set are stored, voiced keyword set is by several
Keyword composition, different keywords correspond to different control instructions；
Processor is used to receive the corresponding feature of each subgraph positioned at personnel at entry door of preprocessing module transmission, and will connect
Feature of each subgraph feature received respectively with the resident kinsfolk stored in database compares, and obtains contrast characteristic
Subclass B 'fi(b′fi1,b′fi2,...,b′fij,...,b′fiM), b 'fiJ is expressed as being located at i-th of the personnel at entry door
In f-th of the kinsfolk stored in corresponding j-th of the feature of subgraph and database i-th of subgraph it is corresponding j-th it is special
The reduced value of sign, if the f stored in j-th of the feature and database that are located in i-th of the subgraph for the personnel that the registered permanent residence goes out
J-th of feature in a kinsfolk in i-th of subgraph is identical, then takes b 'fiJ is equal to 1, conversely, being equal to 0, processor passes through
Contrast characteristic's subclass and each character subset close corresponding specific gravity, count the joint match system of member in the personnel and family
Number, processor filter out the joint match coefficient between the image and all kinsfolks, it is highest to filter out joint match coefficient
Joint match coefficient, and the joint match coefficient threshold of highest joint match coefficient and setting is compared, if more than setting
Fixed joint match matching coefficient, then processor sends control instruction to controlling terminal；
Processor receives the control instruction that integrated contrast module is sent, the control instruction that processor is sent according to integrated contrast module
Controlling terminal is controlled, and receives in each room that preprocessing module is sent whether someone, personnel state and room are compiled
Number information, and the brightness in each room that brightness acquisition module is sent is received, receive each room that temperature and humidity acquisition module is sent
Interior temperature and humidity information, processor according in each room whether someone and personnel state, if personnel are movable in the room,
Temperature, humidity and Luminance Analysis then are carried out to the room of someone, if temperature, humidity and brightness is not respectively in the range of setting
Interior, then processor sends control instruction to controlling terminal, with to someone room in temperature, humidity and brightness adjust
Section carries out the adjusting of temperature and humidity to the room if personnel remain static；
Controlling terminal is used to receive the control instruction of processor transmission, controls the switch of resident's entry door and to each room
Interior temperature, humidity and brightness is adjusted.
2. a kind of Intelligent house system according to claim 1, it is characterised in that: in the subgraph of different home member
Corresponding feature accounts for different specific gravity respectively, is followed successively by gbfi1,gbfi2,...,gbfij,...,gbfiM, gbfi1+gbfi2+...+
gbfij+...+gbfiM=1.
3. a kind of Intelligent house system according to claim 1, it is characterised in that: the calculating of the joint match coefficient
Formula isb′fiJ is expressed as being located at i-th of the personnel at entry door
I-th of subgraph is j-th corresponding in f-th of the kinsfolk stored in corresponding j-th of the feature of a subgraph and database
The reduced value of feature, gbfiJ is expressed as specific gravity shared by corresponding j-th of the feature of i-th of subgraph of f-th of kinsfolk.
4. a kind of Intelligent house system according to claim 1, it is characterised in that: the preprocessing module screening is clear
Spend the method for highest image, comprising the following steps:
S1, the personnel's image information for successively receiving the transmission of the first image collection module；
S2, according to receiving time sequencing, successively the clarity of received image is identified；
S3, the clarity of the clarity of previous image and latter image is compared, rejects the low image of clarity, retained clear
The high image of clear degree；
S4, the high image of clarity is successively compared with the clarity of next image, retains the high image of clarity, until
When remaining amount of images is 1, using remaining image as the highest image information of clarity.
5. a kind of Intelligent house system according to claim 1, it is characterised in that: the controlling terminal includes entry door
Control unit, several temperature and humidity adjustment units and several brightness adjusting units, door control unit of registering one's residence is for opening entry door
Put row control into, several temperature and humidity adjustment units are separately mounted in each room, for adjusting to the temperature and humidity in each room
Section, brightness adjusting unit is separately mounted in each room, for the brightness in each room to be adjusted.
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