CN109283849B - Intelligent house system - Google Patents
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- G—PHYSICS
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- 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
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Abstract
The invention discloses a house intelligent system which comprises a first image acquisition module, a second image acquisition module, a preprocessing module, a brightness acquisition module, a temperature and humidity acquisition module, a voice acquisition module, an integrated comparison module, a keyword extraction module, a database, a processor and a control terminal, wherein the first image acquisition module is used for acquiring a first image; the preprocessing module is respectively connected with the first image acquisition module, the second image acquisition module and the database, the processor is respectively connected with the preprocessing module, the brightness acquisition module, the temperature and humidity acquisition module, the keyword extraction module, the database and the control terminal, the keyword extraction module is connected with the voice acquisition module through the integrated comparison module, and the integrated comparison module is connected with the database. The intelligent door control system can carry out intelligent opening and closing control on the door of the house and adjust the temperature, humidity and brightness in each room, improves the comfort level and safety of living, has the characteristic of intelligence, and greatly improves the satisfaction degree of residents on the living of the house.
Description
Technical Field
The invention belongs to the technical field of house intellectualization, and relates to a house intellectualization system.
Background
A house is a building that lives people or stores things. The house is a base body of a family, and the house is a trusting for human survival, so that people can avoid all interference from the outside, and the family can enjoy free life with own relatives.
Along with the continuous improvement of people's standard of living, people improve gradually the living requirement in house, and current house is the environment that people live, and people have more than half a day in the house, and the environment in the house is good or bad and directly influences the comfort level that people live, has the problem that intelligent characteristic is poor, the security is low and the travelling comfort is poor in current house, can't satisfy the high-quality life demand of people, consequently, provides a house intelligent system.
Disclosure of Invention
The invention aims to provide a house intelligent system, which solves the problems of poor intelligent characteristic, poor comfort and low safety of the existing house.
The purpose of the invention can be realized by the following technical scheme:
a house intelligent system comprises a first image acquisition module, a second image acquisition module, a preprocessing module, a brightness acquisition module, a temperature and humidity acquisition module, a voice acquisition module, an integrated comparison module, a keyword extraction module, a database, a processor and a control terminal;
the system comprises a preprocessing module, a brightness acquisition module, a temperature and humidity acquisition module, a keyword extraction module, a database and a control terminal, wherein the preprocessing module is respectively connected with the first image acquisition module, the second image acquisition module and the database;
the first image acquisition module is a high-definition camera and is used for acquiring image information of personnel at an entrance in real time and sending the acquired image information of the personnel to the preprocessing module;
the second image acquisition module comprises a plurality of image capturing units, the image capturing units are respectively installed in indoor rooms and used for capturing indoor image information and sending the captured image information in the rooms and the serial numbers corresponding to the image capturing units to the preprocessing module, wherein the rooms are numbered according to a set sequence, the serial numbers corresponding to the rooms are the same as the serial numbers of the image capturing units installed in the rooms, and the time interval of image acquisition of the second image acquisition module is Ts;
the preprocessing module is used for receiving the image information sent by the first image acquisition module, screening the received image information, screening out the image with the highest definition, carrying out equal-area division on the screened image, dividing the image into a plurality of sub-images, numbering the divided sub-images according to the sequence from left to right, sequentially carrying out feature extraction on the sub-images, and enabling the features extracted from the sub-images to form a feature subset Ai(ai1,ai2,...,aij,...,aim)，aij is denoted as the jth feature in the ith sub-image, aim in m represents the number of all the characteristics in the ith sub-image, the preprocessing module sends the characteristics corresponding to each sub-image in the personnel image to the processor, simultaneously receives the image information in each room in the second image acquisition module and the serial number of the image snapshot unit sending the image information in the room, the image information in each room numbers the images shot by the same image snapshot unit according to the time sequence of the received images, the serial number is 1,2, 1, k, h, and the images numbered in each room are compared with the standard room images corresponding to the room serial number in the database in sequence to judge whether people exist in the room or not, if yes, each room is provided with the corresponding characteristic, the preprocessing module sends the characteristic corresponding to each sub-image in the personnel image to the processor, and simultaneously, the image information in each room and the serial number of the image snapshot unit sending the image information in the room are numbered in each room, and the images in each room are compared with the standard room images corresponding to the room serial number in the database to judge whether people exist in the room or notThe method comprises the steps that images collected in rooms are the same as standard room images corresponding to room numbers in a database, it is indicated that no person exists in each room, otherwise, if the image in one room is different from the standard room image, it is indicated that a person exists in the room, when a person exists in the room, the position of the person in the kth time period is compared with the position of the person in the kth-1 time period through the sequence of image collecting time periods, if the positions of the persons in two or more time periods in 1,2, a.
The brightness acquisition module comprises a plurality of brightness acquisition units, wherein the brightness acquisition units are brightness sensors, are respectively installed in each room and are used for detecting brightness information in each room in real time and sending the detected brightness information to the processor, and the number corresponding to the brightness acquisition unit installed in each room is the same as the number corresponding to the installed room;
the temperature and humidity acquisition module comprises a plurality of temperature and humidity acquisition units, each temperature and humidity acquisition unit is respectively installed in each room, each temperature and humidity acquisition unit is a temperature and humidity sensor and is used for acquiring the temperature and the humidity in each room in real time and sending the acquired temperature and humidity to the processor, wherein the corresponding serial numbers of the temperature and humidity acquisition units installed in each room are the same as the corresponding serial numbers of the installed rooms;
the voice acquisition module comprises a plurality of voice information acquisition units, the voice information acquisition units are arranged in all rooms and used for acquiring voice information in the rooms in real time and sending the acquired voice information to the integrated comparison module, wherein the number corresponding to each voice information acquisition unit is the same as the number of the room in which the voice information acquisition unit is arranged;
the integrated comparison module is used for receiving the voice information sent by each voice information acquisition unit, identifying the volume in the received voice information sent by each voice information acquisition unit, comparing the identified volume, screening out the voice information with the highest volume, extracting the voice information with the highest volume and sending the voice information to the keyword extraction module;
the keyword extraction module is used for receiving the voice information with the highest volume sent by the integrated comparison module, performing character conversion on the received voice information, comparing the converted characters with a keyword set stored in a database to extract a control instruction corresponding to the keyword in the voice information, and sending the corresponding control instruction to the processor;
the database is used for storing standard room images in all rooms, brightness and temperature and humidity parameter ranges in the rooms under the condition of existence of people, and storing standard feature subset B in all sub-images corresponding to different family membersfi(bfi1,bfi2,...,bfij,...,bfim), f represents the number corresponding to the family member, and is 1,2fij represents the jth characteristic corresponding to the ith sub-image of the f family member, and stores a plurality of voice keyword sets, wherein each voice keyword set consists of a plurality of keywords, and different keywords correspond to different control instructions;
the processor is used for receiving the characteristics corresponding to the sub-images of the personnel at the entrance door sent by the preprocessing module, comparing the received characteristics of the sub-images with the characteristics of the family members of the resident stored in the database respectively to obtain a comparison characteristic subset B'fi(b′fi1,b′fi2,...,b′fij,...,b′fim)，b′fij is a contrast value of a jth feature corresponding to an ith sub-image of a person positioned at an entrance door and a jth feature corresponding to an ith sub-image of an f family member stored in the database, and b 'is taken if the jth feature in the ith sub-image of the person positioned at the entrance and the exit is the same as the jth feature in the ith sub-image of the f family member stored in the database'fij is equal to 1, otherwise, is equal to 0, the processor counts the matching coefficient of the person and the family members by comparing the characteristic subset with the proportion corresponding to each characteristic subset, the processor screens out the matching coefficient between the image and all the family members, and screens out the matching coefficientComparing the highest matching coefficient with a set matching coefficient threshold, and if the highest matching coefficient is greater than the set matching coefficient, sending a control instruction to the control terminal by the processor;
the processor receives the control instruction sent by the integrated comparison module, controls the control terminal according to the control instruction sent by the integrated comparison module, and receives the information of whether people are in each room, the state of the people and the room number sent by the preprocessing module, and receives the brightness in each room sent by the brightness acquisition module, receives the temperature and humidity information in each room sent by the temperature and humidity acquisition module, and the processor determines whether a person is in each room and the state of the person, if the person is moving in the room, then the temperature, humidity and brightness of the room with people are analyzed, if the temperature, humidity and brightness are not in the set range, the processor sends a control instruction to the control terminal to adjust the temperature, the humidity and the brightness of the room with the person, and if the person is in a static state, the temperature and the humidity of the room are adjusted;
the control terminal is used for receiving the control instruction sent by the processor, controlling the opening and closing of the resident entrance door and adjusting the temperature, the humidity and the brightness in each room.
Further, the corresponding features in the sub-images of different family members respectively account for different proportions, which are gb in turnfi1,gbfi2,...,gbfij,...,gbfim，gbfi1+gbfi2+...+gbfij+...+gbfim＝1。
Further, the calculation formula of the fit matching coefficient is
b′fij is expressed as a comparison value of the jth feature corresponding to the ith sub-image of the person at the entrance door and the jth feature corresponding to the ith sub-image in the fth family member stored in the database, gbfij represents the proportion of the jth characteristic corresponding to the ith sub-image of the ith family member。
Further, the method for screening the image with the highest definition by the preprocessing module comprises the following steps:
s1, sequentially receiving the personnel image information sent by the first image acquisition module;
s2, sequentially identifying the definition of the received images according to the receiving time sequence;
s3, comparing the definition of the previous image with the definition of the next image, eliminating the image with low definition and keeping the image with high definition;
and S4, sequentially comparing the definition of the image with that of the next image, and keeping the image with high definition until the number of the remaining images is 1, wherein the remaining images are used as the image information with the highest definition.
Furthermore, the control terminal comprises an entrance door control unit, a plurality of temperature and humidity adjusting units and a plurality of brightness adjusting units, wherein the entrance door control unit is used for controlling the opening and closing of an entrance door, the temperature and humidity adjusting units are respectively installed in the rooms and used for adjusting the temperature and humidity in the rooms, and the brightness adjusting units are respectively installed in the rooms and used for adjusting the brightness in the rooms.
The invention has the beneficial effects that:
according to the house-based intelligent system, the first image acquisition module, the preprocessing module and the processor are used for acquiring the image of the entrance door, extracting the characteristics of the acquired image, comparing the extracted characteristics with the characteristics of the family members stored in the database to count the matching coefficient matched with each family member, so that the identity of personnel can be conveniently identified, once the identity identification of the personnel at the entrance door is successful, the processor sends a control command to carry out on-off control on the door, the intelligent control on the door is realized, the safety and the door opening efficiency are improved, and the problem of key loss is avoided;
the voice of personnel in the room is recognized and the keywords are extracted through the voice acquisition module, the integrated comparison module and the integrated keyword extraction module, so that the voice information is recognized conveniently, the voice control function is realized, and the control convenience is improved;
through second image acquisition module, preprocessing module, treater and integrated humiture collection module and luminance collection module, according to whether someone and personnel state in each room, the room that someone was in carries out the regulation of environment, has improved the comfort level of living, has intelligent characteristics, has improved the satisfaction of resident to house living greatly.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a house intelligent system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a house intelligent system includes a first image acquisition module, a second image acquisition module, a preprocessing module, a brightness acquisition module, a temperature and humidity acquisition module, a voice acquisition module, an integrated comparison module, a keyword extraction module, a database, a processor and a control terminal;
the system comprises a preprocessing module, a brightness acquisition module, a temperature and humidity acquisition module, a keyword extraction module, a database and a control terminal, wherein the preprocessing module is respectively connected with the first image acquisition module, the second image acquisition module and the database;
the first image acquisition module is a high-definition camera, is arranged at the entrance door and is used for acquiring image information of personnel at the entrance door and sending the acquired image information of the personnel to the preprocessing module;
the second image acquisition module comprises a plurality of image capturing units, the image capturing units are respectively installed in indoor rooms and used for capturing indoor image information and sending the captured image information in the rooms and the serial numbers corresponding to the image capturing units to the preprocessing module, wherein the rooms are numbered according to a set sequence, the serial numbers corresponding to the rooms are the same as the serial numbers of the image capturing units installed in the rooms, and the time interval of image acquisition of the second image acquisition module is Ts;
the preprocessing module is used for receiving the image information sent by the first image acquisition module, screening the received image information, screening out the image with the highest definition, carrying out equal-area division on the screened image, dividing the image into a plurality of sub-images, numbering the divided sub-images according to the sequence from left to right, sequentially carrying out feature extraction on the sub-images, and enabling the features extracted from the sub-images to form a feature subset Ai(ai1,ai2,...,aij,...,aim)，aij is denoted as the jth feature in the ith sub-image, aim in m represents the number of all the characteristics in the ith sub-image, the preprocessing module sends the characteristics corresponding to each sub-image in the personnel image to the processor, simultaneously receives the image information in each room in the second image acquisition module and the serial number of the image snapshot unit sending the image information in the room, numbers the images shot by the same image snapshot unit according to the time sequence of the received images, wherein the image information in each room is respectively 1,2, 1, k, h, and compares the images numbered in each room with the standard room images corresponding to the room serial number in the database in sequence to judge whether people exist in the room, and if the images acquired in each room are all compared with the standard room images corresponding to the room serial number in the database, the images acquired in each room are all the same as the standard room images corresponding to the room serial number in the databaseIf the images in the rooms are the same, it is indicated that no person exists in each room, otherwise, if the image in one room is different from the image in the standard room, it is indicated that a person exists in the room, when a person exists in the room, the position of the person in the kth time period is compared with the position of the person in the kth-1 time period through the sequence of the image acquisition time periods, if the positions of the persons in two or more time periods in 1,2, a.
The brightness acquisition module comprises a plurality of brightness acquisition units, wherein the brightness acquisition units are brightness sensors, are respectively installed in each room and are used for detecting brightness information in each room in real time and sending the detected brightness information to the processor, and the number corresponding to the brightness acquisition unit installed in each room is the same as the number corresponding to the installed room;
the temperature and humidity acquisition module comprises a plurality of temperature and humidity acquisition units, each temperature and humidity acquisition unit is respectively installed in each room, each temperature and humidity acquisition unit is a temperature and humidity sensor and is used for acquiring the temperature and the humidity in each room in real time and sending the acquired temperature and humidity to the processor, wherein the corresponding serial numbers of the temperature and humidity acquisition units installed in each room are the same as the corresponding serial numbers of the installed rooms;
the voice acquisition module comprises a plurality of voice information acquisition units, the voice information acquisition units are arranged in all rooms and used for acquiring voice information in the rooms in real time and sending the acquired voice information to the integrated comparison module, wherein the number corresponding to each voice information acquisition unit is the same as the number of the room in which the voice information acquisition unit is arranged;
the integrated comparison module is used for receiving the voice information sent by each voice information acquisition unit, identifying the volume in the received voice information sent by each voice information acquisition unit, comparing the identified volume, screening out the voice information with the highest volume, extracting the voice information with the highest volume and sending the voice information to the keyword extraction module;
the keyword extraction module is used for receiving the voice information with the highest volume sent by the integrated comparison module, performing character conversion on the received voice information, comparing the converted characters with a keyword set stored in a database to extract a control instruction corresponding to the keyword in the voice information, and sending the corresponding control instruction to the processor;
the database is used for storing standard room images in all rooms, brightness and temperature and humidity parameter ranges in the rooms under the condition of existence of people, and storing standard feature subset B in all sub-images corresponding to different family membersfi(bfi1,bfi2,...,bfij,...,bfim), f represents the number corresponding to the family member, and is 1,2fij represents the jth characteristic corresponding to the ith sub-image of the f family member, and the corresponding characteristics in the sub-images of different family members respectively account for different specific weights, which are gbfi1,gbfi2,...,gbfij,...,gbfim，gbfi1+gbfi2+...+gbfij+...+gbfim is 1, and a plurality of voice keyword sets are stored, wherein the standard room image is an image of no person in the room, the voice keyword set is composed of a plurality of keywords, and different keywords correspond to different control instructions;
the processor is used for receiving the characteristics corresponding to the sub-images of the personnel at the entrance door sent by the preprocessing module, comparing the received characteristics of the sub-images with the characteristics of the family members of the resident stored in the database respectively to obtain a comparison characteristic subset B'fi(b′fi1,b′fi2,...,b′fij,...,b′fim)，b′fij is a contrast value of a jth feature corresponding to an ith sub-image of a person positioned at an entrance door and a jth feature corresponding to an ith sub-image of an f family member stored in the database, and b 'is taken if the jth feature in the ith sub-image of the person positioned at the entrance and the exit is the same as the jth feature in the ith sub-image of the f family member stored in the database'fij is equal to 1, otherwise, is equal to0, the processor counts the matching coefficient of the person and the family members by comparing the characteristic subset and the proportion corresponding to each characteristic subset, and the calculation formula of the matching coefficient is
b′fij is expressed as a comparison value of the jth feature corresponding to the ith sub-image of the person at the entrance door and the jth feature corresponding to the ith sub-image in the fth family member stored in the database, gbfij is the proportion of the jth characteristic corresponding to the ith sub-image of the f family member, the processor screens out the matching coefficient between the image and all the family members, screens out the matching coefficient with the highest matching coefficient, compares the highest matching coefficient with the set matching coefficient threshold, and sends a control command to the control terminal if the matching coefficient is greater than the set matching coefficient;
the processor receives the control instruction sent by the integrated comparison module, controls the control terminal according to the control instruction sent by the integrated comparison module, receives the information of whether people exist in each room, the personnel state and the room number sent by the preprocessing module, receives the brightness in each room sent by the brightness acquisition module, receives the temperature and humidity information in each room sent by the temperature and humidity acquisition module, and sends the control instruction to the control terminal according to the information of whether people exist in each room and the personnel state if the personnel move in the room, analyzes the temperature, the humidity and the brightness of the room with the people, if the temperature, the humidity and the brightness are not in the set range, the temperature, the humidity and the brightness in the room with the people are adjusted, and if the personnel are in a static state, the temperature and the humidity in the room are adjusted, the temperature in the room is ensured to meet the requirements of people, and the comfort of the people is improved;
the control terminal is used for receiving a control instruction sent by the processor, controlling the opening and closing of the entrance door of a resident and adjusting the temperature, the humidity and the brightness in each room, ensuring that the environment in each room meets requirements, and improving the comfort of the resident, the control terminal comprises an entrance door control unit, a plurality of temperature and humidity adjusting units and a plurality of brightness adjusting units, the entrance door control unit is used for controlling the opening and closing of the entrance door, the temperature and humidity adjusting units are respectively installed in each room and used for adjusting the temperature and the humidity in each room, and the brightness adjusting units are respectively installed in each room and used for adjusting the brightness in each room.
The method for screening the image with the highest definition by the preprocessing module comprises the following steps:
s1, sequentially receiving the personnel image information sent by the first image acquisition module;
s2, sequentially identifying the definition of the received images according to the receiving time sequence;
s3, comparing the definition of the previous image with the definition of the next image, eliminating the image with low definition and keeping the image with high definition;
and S4, sequentially comparing the definition of the image with that of the next image, and keeping the image with high definition until the number of the remaining images is 1, wherein the remaining images are used as the image information with the highest definition.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (5)
1. A house intelligent system which is characterized in that: the system comprises a first image acquisition module, a second image acquisition module, a preprocessing module, a brightness acquisition module, a temperature and humidity acquisition module, a voice acquisition module, an integrated comparison module, a keyword extraction module, a database, a processor and a control terminal;
the system comprises a preprocessing module, a brightness acquisition module, a temperature and humidity acquisition module, a keyword extraction module, a database and a control terminal, wherein the preprocessing module is respectively connected with the first image acquisition module, the second image acquisition module and the database;
the first image acquisition module is a high-definition camera and is used for acquiring image information of personnel at an entrance in real time and sending the acquired image information of the personnel to the preprocessing module;
the second image acquisition module comprises a plurality of image capturing units, the image capturing units are respectively installed in indoor rooms and used for capturing indoor image information and sending the captured image information in the rooms and the serial numbers corresponding to the image capturing units to the preprocessing module, wherein the rooms are numbered according to a set sequence, the serial numbers corresponding to the rooms are the same as the serial numbers of the image capturing units installed in the rooms, and the time interval of image acquisition of the second image acquisition module is Ts;
the preprocessing module is used for receiving the image information sent by the first image acquisition module, screening the received image information, screening out the image with the highest definition, carrying out equal-area division on the screened image, dividing the image into a plurality of sub-images, numbering the divided sub-images according to the sequence from left to right, sequentially carrying out feature extraction on the sub-images, and enabling the features extracted from the sub-images to form a feature subset Ai(ai1,ai2,...,aij,...,aim)，aij is denoted as the jth feature in the ith sub-image, aim in m represents the number of all the characteristics in the ith sub-image, the preprocessing module sends the characteristics corresponding to each sub-image in the personnel image to the processor, simultaneously receives the image information in each room in the second image acquisition module and the serial number of the image snapshot unit sending the image information in the room, the image information in each room numbers the images shot by the same image snapshot unit according to the time sequence of the received images, the serial number is 1,2, 1, k, h, and the images numbered in each room correspond to the database in sequenceComparing the standard room images of the room numbers to judge whether people exist in the rooms, if the images collected in all the rooms are the same as the standard room images of the corresponding room numbers in the database, it indicates that no one exists in each room, otherwise, if the image in one room is different from the standard room image, if the position of the person in the kth time period is changed within two or more time periods within 1,2, a. If the person is clear and someone is in the house, otherwise, the person is asleep, and the preprocessing module sends the number of the room, the state of the person and whether someone is in each room to the processor;
the brightness acquisition module comprises a plurality of brightness acquisition units, wherein the brightness acquisition units are brightness sensors, are respectively installed in each room and are used for detecting brightness information in each room in real time and sending the detected brightness information to the processor, and the number corresponding to the brightness acquisition unit installed in each room is the same as the number corresponding to the installed room;
the temperature and humidity acquisition module comprises a plurality of temperature and humidity acquisition units, each temperature and humidity acquisition unit is respectively installed in each room, each temperature and humidity acquisition unit is a temperature and humidity sensor and is used for acquiring the temperature and the humidity in each room in real time and sending the acquired temperature and humidity to the processor, wherein the corresponding serial numbers of the temperature and humidity acquisition units installed in each room are the same as the corresponding serial numbers of the installed rooms;
the voice acquisition module comprises a plurality of voice information acquisition units, the voice information acquisition units are arranged in all rooms and used for acquiring voice information in the rooms in real time and sending the acquired voice information to the integrated comparison module, wherein the number corresponding to each voice information acquisition unit is the same as the number of the room in which the voice information acquisition unit is arranged;
the integrated comparison module is used for receiving the voice information sent by each voice information acquisition unit, identifying the volume in the received voice information sent by each voice information acquisition unit, comparing the identified volume, screening out the voice information with the highest volume, extracting the voice information with the highest volume and sending the voice information to the keyword extraction module;
the keyword extraction module is used for receiving the voice information with the highest volume sent by the integrated comparison module, performing character conversion on the received voice information, comparing the converted characters with a keyword set stored in a database to extract a control instruction corresponding to the keyword in the voice information, and sending the corresponding control instruction to the processor;
the database is used for storing standard room images in all rooms, brightness and temperature and humidity parameter ranges in the rooms under the condition of existence of people, and storing standard feature subset B in all sub-images corresponding to different family membersfi(bfi1,bfi2,...,bfij,...,bfim), f represents the number corresponding to the family member, and is 1,2fij represents the jth characteristic corresponding to the ith sub-image of the f family member, and stores a plurality of voice keyword sets, wherein each voice keyword set consists of a plurality of keywords, and different keywords correspond to different control instructions;
the processor is used for receiving the characteristics corresponding to the sub-images of the personnel at the entrance door sent by the preprocessing module, comparing the received characteristics of the sub-images with the characteristics of the family members of the resident stored in the database respectively to obtain a comparison characteristic subset B'fi(b′fi1,b′fi2,...,b′fij,...,b′fim)，b′fij is a contrast value of a jth feature corresponding to an ith sub-image of a person positioned at an entrance door and a jth feature corresponding to an ith sub-image of an f family member stored in the database, and b 'is taken if the jth feature in the ith sub-image of the person positioned at the entrance and the exit is the same as the jth feature in the ith sub-image of the f family member stored in the database'fij is equal to 1, otherwise, is equal to 0, the processor counts matching coefficients of the person and the members in the family by comparing the feature subsets with the proportion corresponding to each feature subset, and the processor screens out the graphScreening out the coincidence matching coefficient with the highest coincidence matching coefficient from the coincidence matching coefficients between the image and all family members, comparing the highest coincidence matching coefficient with a set coincidence matching coefficient threshold value, and if the coincidence matching coefficient is larger than the set coincidence matching coefficient, sending a control instruction to a control terminal by a processor;
the processor receives the control instruction sent by the integrated comparison module, controls the control terminal according to the control instruction sent by the integrated comparison module, and receives the information of whether people are in each room, the state of the people and the room number sent by the preprocessing module, and receives the brightness in each room sent by the brightness acquisition module, receives the temperature and humidity information in each room sent by the temperature and humidity acquisition module, and the processor determines whether a person is in each room and the state of the person, if the person is moving in the room, then the temperature, humidity and brightness of the room with people are analyzed, if the temperature, humidity and brightness are not in the set range, the processor sends a control instruction to the control terminal to adjust the temperature, the humidity and the brightness of the room with the person, and if the person is in a static state, the temperature and the humidity of the room are adjusted;
the control terminal is used for receiving the control instruction sent by the processor, controlling the opening and closing of the resident entrance door and adjusting the temperature, the humidity and the brightness in each room.
2. The intelligent home system of claim 1, wherein: the corresponding features in the sub-images of different family members account for different proportions, in turn gbfi1,gbfi2,...,gbfij,...,gbfim，gbfi1+gbfi2+...+gbfij+...+gbfim＝1。
3. The intelligent home system of claim 1, wherein: the calculation formula of the coincidence matching coefficient is
b′fij is expressed as a comparison value of the jth feature corresponding to the ith sub-image of the person at the entrance door and the jth feature corresponding to the ith sub-image in the fth family member stored in the database, gbfij represents the proportion of the jth characteristic corresponding to the ith sub-image of the ith family member.
4. The intelligent home system of claim 1, wherein: the method for screening the image with the highest definition by the preprocessing module comprises the following steps:
s1, sequentially receiving the personnel image information sent by the first image acquisition module;
s2, sequentially identifying the definition of the received images according to the receiving time sequence;
s3, comparing the definition of the previous image with the definition of the next image, eliminating the image with low definition and keeping the image with high definition;
and S4, sequentially comparing the definition of the image with that of the next image, and keeping the image with high definition until the number of the remaining images is 1, wherein the remaining images are used as the image information with the highest definition.
5. The intelligent home system of claim 1, wherein: the control terminal comprises an entrance door control unit, a plurality of temperature and humidity adjusting units and a plurality of brightness adjusting units, the entrance door control unit is used for controlling the opening and closing of the entrance door, the temperature and humidity adjusting units are respectively installed in the rooms and used for adjusting the temperature and humidity in the rooms, and the brightness adjusting units are respectively installed in the rooms and used for adjusting the brightness in the rooms.
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| CN102117402A (en) * | 2010-12-31 | 2011-07-06 | 胡利锋 | Intelligent statistical system |
| CN104407517A (en) * | 2014-12-18 | 2015-03-11 | 大连大学 | Smart home security method based on Internet of Things technology |
| CN105759624A (en) * | 2016-03-08 | 2016-07-13 | 沈阳体育学院 | Household intelligent management system based on computers |
| CN105955043B (en) * | 2016-05-27 | 2019-02-01 | 浙江大学 | A kind of visible i.e. controllable intelligent home furnishing control method of augmented reality type |
| WO2018023513A1 (en) * | 2016-08-04 | 2018-02-08 | 易晓阳 | Home control method based on motion recognition |
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| CN110838077B (en) * | 2019-11-12 | 2020-12-25 | 南京广电猫猫网络科技有限公司 | Scenic spot-based touring management method |
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