CN111505950A - Intelligent home regulation and control system based on big data - Google Patents
Intelligent home regulation and control system based on big data Download PDFInfo
- Publication number
- CN111505950A CN111505950A CN202010215098.8A CN202010215098A CN111505950A CN 111505950 A CN111505950 A CN 111505950A CN 202010215098 A CN202010215098 A CN 202010215098A CN 111505950 A CN111505950 A CN 111505950A
- Authority
- CN
- China
- Prior art keywords
- face
- user
- unit
- acquiring
- signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000005286 illumination Methods 0.000 claims abstract description 52
- 238000012795 verification Methods 0.000 claims abstract description 18
- 238000012544 monitoring process Methods 0.000 claims abstract description 16
- 238000001514 detection method Methods 0.000 claims abstract description 15
- 238000004891 communication Methods 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 10
- 210000000624 ear auricle Anatomy 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 6
- 230000001154 acute effect Effects 0.000 claims description 3
- 210000003128 head Anatomy 0.000 claims description 3
- 230000010354 integration Effects 0.000 claims 3
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- 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
-
- 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]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/169—Holistic features and representations, i.e. based on the facial image taken as a whole
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- Automation & Control Theory (AREA)
- Evolutionary Computation (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses an intelligent home regulation and control system based on big data, which comprises an intelligent monitoring unit, an identification unit, an entrance guard driving unit, a linkage unit, a processor, a display unit, a pressure detection unit, an air conditioner control module, a comprehensive unit, a first illumination sensor and a second illumination sensor, wherein the intelligent monitoring unit is used for monitoring the entrance guard driving unit; the intelligent monitoring unit is used for acquiring face information of a user, a pressure sensor arranged between door gaps is used for detecting whether a door is opened or not, if the face information is acquired after the door is detected to be opened, the face information indicates that the user is out of a door at the moment, the face information and clothing information of the user at the moment are acquired, and if the user is detected to return on the same day, identity verification is achieved by comparing the face with the clothing; if the non-user returns on the same day, corresponding face information is obtained automatically by analyzing the characteristic angle value of the user, the face information is compared with the face detected in real time, and when the face information is consistent with the face detected in real time, detailed checking is carried out; when the verification condition is met, the entrance guard can be opened.
Description
Technical Field
The invention belongs to the field of furniture regulation and control, relates to an intelligent home technology, and particularly relates to an intelligent home regulation and control system based on big data.
Background
The patent with publication number CN107168093A discloses an intelligent home equipment regulation and control system, which comprises a central data processing module, a home environment monitoring module, an intelligent home equipment regulation and control module and a user intelligent terminal; the home environment monitoring module, the intelligent home equipment regulation and control module and the user intelligent terminal are all in communication connection with the central data processing module; the home environment monitoring module is used for monitoring a home environment based on a wireless sensor network, acquiring home environment parameters and sending the parameters to the central data processing module; the central data processing module is used for processing the home environment parameters, sending a control instruction to the intelligent home equipment regulation and control module and controlling the corresponding home equipment to operate; the user intelligent terminal accesses the central data processing module to obtain the home environment parameters and sends a control request to the central data processing module. The invention realizes intelligent regulation and control of household equipment.
However, a good way is not provided for home user authentication, and a reasonable control is not provided for equipment when a user just goes home in combination with the home user condition and the indoor scene; in order to solve this technical problem, a solution is now provided.
Disclosure of Invention
The invention aims to provide an intelligent home regulation and control system based on big data.
The purpose of the invention can be realized by the following technical scheme:
an intelligent home regulation and control system based on big data comprises an intelligent monitoring unit, an identification unit, an entrance guard driving unit, a linkage unit, a processor, a display unit, a pressure detection unit, an air conditioner control module, a comprehensive unit, a first illumination sensor and a second illumination sensor;
wherein, the intelligent monitoring unit is including setting up the surveillance camera head outside the door to and the pressure sensor who sets up between door and doorframe for carry out user condition analysis, specific analysis step is:
the method comprises the following steps: within a preset time after the pressure sensor detects the pressure, if a face is detected, the user is indicated to go out, a wearing picture of the user is obtained at the moment, the face is obtained, the face is transmitted to the recognition unit, the user is recognized, and the state of the user is marked as leaving;
step two: acquiring the leaving time of a user, if the user returns within the same day of the leaving time, comparing the face of the user coming home with the face of the family household when the face of the user coming home is detected, and if the face of the user coming home is consistent with the face of the family household when the face of the user coming home is detected, generating an initial communication signal when the face of the user coming home is away within the same day;
step three: acquiring a wearing picture of a face of a user generating an initial communication signal, acquiring a real-time wearing picture of the user through a camera, comparing the real-time wearing picture with the wearing picture, and if the similarity of the real-time wearing picture and the wearing picture exceeds X1, taking X1 as a preset value to generate a correct signal;
step four: if the current day does not return, performing detailed analysis in the step six;
step five: if the pressure sensor does not detect the pressure or detects that the pressure exceeds the preset time, detecting the face, and performing detailed analysis in the step six, wherein the face comes home on other days;
step six: the method comprises the steps of acquiring a detected user face, marking the detected user face as real-time face information, and carrying out detailed analysis on the real-time face information, wherein the detailed analysis comprises the following specific steps:
s1: firstly, acquiring real-time face information;
s2: carrying out characteristic angle value analysis, specifically:
s21: acquiring a nose tip point, wherein the nose tip point is a point of a nose tip of a user, then acquiring left and right earlobe points, wherein the left and right earlobe points are the lowest points of a left ear and a right ear of the user, respectively connecting the nose tip point with the left and right earlobe points, marking a formed acute angle as a characteristic angle, and acquiring a characteristic angle value;
s22: transmitting the characteristic angle values to the recognition unit; the recognition unit is internally provided with an approved face and a corresponding approved characteristic angle value; comparing the characteristic angle value with an approved characteristic angle value built in the identification unit, and acquiring a corresponding approved face when the approved characteristic angle value consistent with the characteristic angle value is obtained through comparison;
s3: comparing the approved face with the real-time face information, and generating an initial communication signal if the approved face is consistent with the real-time face information;
s4: acquiring a real-time face picture at the moment, and marking the real-time face picture as a stop-motion picture;
s5: after the time T1, acquiring the corresponding face picture again according to the angle consistent with the acquired stop motion picture, and marking the face picture as a post-stop motion picture;
s6: acquiring contour lines of the stop motion picture and the post-stop motion picture, overlapping the contour lines and the post-stop motion picture to acquire the areas of all difference parts, and acquiring the difference areas;
s7: when the difference area exceeds a preset value X2, generating a passing signal; x2 is a preset value;
the identification unit is used for transmitting the passing signal to the entrance guard driving unit, and the entrance guard driving unit automatically opens the entrance guard when receiving the passing signal transmitted by the identification unit.
Furthermore, the entrance guard driving unit transmits a verification signal to the linkage unit when receiving the passing signal, and the linkage unit transmits the verification signal to the comprehensive unit when receiving the verification signal transmitted by the entrance guard driving unit;
the first illumination sensor is arranged indoors and used for acquiring indoor illumination and transmitting the indoor illumination to the comprehensive unit; the illumination sensor II is arranged outdoors and used for acquiring outdoor illumination and transmitting the outdoor illumination to the comprehensive unit;
the comprehensive unit performs illumination analysis on indoor illuminance and outdoor illuminance when receiving the verification signal, and the specific analysis is as follows:
s01: acquiring indoor illuminance and outdoor illuminance;
s02: when the indoor illuminance is lower than the illuminance G1 and the outdoor illuminance exceeds the illuminance G2, a windowing signal is generated;
s03: when the indoor illumination is lower than the illumination G1 and the outdoor illumination is lower than the illumination G2, an illumination signal is generated, and the indoor illumination is turned on;
s04: when the indoor illuminance is greater than the illuminance G1, no processing is performed.
Furthermore, the comprehensive unit transmits the windowing signal to the processor when generating the windowing signal, the processor receives the windowing signal transmitted by the comprehensive unit and transmits the windowing signal to the display unit, and the display unit receives the windowing signal transmitted by the processor and displays the word 'good external light and please open the window'.
Further, the entrance guard driving unit transmits a test signal to the processor when receiving the passing signal transmitted by the identification unit, and the processor starts the pressure detection unit when receiving the test signal; the pressure detection unit is a pressure sensor arranged on the floor in the door, and when the pressure detection unit detects that the pressure information exceeds a preset value, a starting signal is transmitted to the air conditioner control module to start the air conditioner.
The invention has the beneficial effects that:
the intelligent monitoring unit is used for acquiring face information of a user, a pressure sensor arranged between door gaps is used for detecting whether a door is opened or not, if the face information is acquired after the door is detected to be opened, the face information indicates that the user is out of a door at the moment, the face information and clothing information of the user at the moment are acquired, and if the user is detected to return on the same day, identity verification is achieved by comparing the face with the clothing; if the non-user returns on the same day, corresponding face information is obtained automatically by analyzing the characteristic angle value of the user, the face information is compared with the face detected in real time, and if the face information is consistent with the face detected in real time, whether the face of the user is a photo or not is checked; if the verification condition is met, the access control can be automatically opened;
after the entrance guard is opened, whether lighting is opened or window opening light passing is conducted is analyzed through the first illumination sensor and the second illumination sensor; meanwhile, the pressure detection unit detects the pressure, and when a user is ensured to enter the room, the air conditioner control module is started to turn on the air conditioner, so that the indoor temperature is adjusted to be a preset value.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, an intelligent home regulation and control system based on big data comprises an intelligent monitoring unit, an identification unit, an entrance guard driving unit, a linkage unit, a processor, a display unit, a pressure detection unit, an air conditioner control module, a comprehensive unit, a first illumination sensor and a second illumination sensor;
wherein, the intelligent monitoring unit is including setting up the surveillance camera head outside the door to and the pressure sensor who sets up between door and doorframe for carry out user condition analysis, specific analysis step is:
the method comprises the following steps: within a preset time after the pressure sensor detects the pressure, if a face is detected, the user is indicated to go out, a wearing picture of the user is obtained at the moment, the face is obtained, the face is transmitted to the recognition unit, the user is recognized, and the state of the user is marked as leaving;
step two: acquiring the leaving time of a user, if the user returns within the same day of the leaving time, comparing the face of the user coming home with the face of the family household when the face of the user coming home is detected, and if the face of the user coming home is consistent with the face of the family household when the face of the user coming home is detected, generating an initial communication signal when the face of the user coming home is away within the same day;
step three: acquiring a wearing picture of a face of a user generating an initial communication signal, acquiring a real-time wearing picture of the user through a camera, comparing the real-time wearing picture with the wearing picture, and if the similarity of the real-time wearing picture and the wearing picture exceeds X1, taking X1 as a preset value to generate a correct signal;
step four: if the current day does not return, performing detailed analysis in the step six;
step five: if the pressure sensor does not detect the pressure or detects that the pressure exceeds the preset time, detecting the face, and performing detailed analysis in the step six, wherein the face comes home on other days;
step six: the method comprises the steps of acquiring a detected user face, marking the detected user face as real-time face information, and carrying out detailed analysis on the real-time face information, wherein the detailed analysis comprises the following specific steps:
s1: firstly, acquiring real-time face information;
s2: carrying out characteristic angle value analysis, specifically:
s21: acquiring a nose tip point, wherein the nose tip point is a point of a nose tip of a user, then acquiring left and right earlobe points, wherein the left and right earlobe points are the lowest points of a left ear and a right ear of the user, respectively connecting the nose tip point with the left and right earlobe points, marking a formed acute angle as a characteristic angle, and acquiring a characteristic angle value;
s22: transmitting the characteristic angle values to the recognition unit; the recognition unit is internally provided with an approved face and a corresponding approved characteristic angle value; comparing the characteristic angle value with an approved characteristic angle value built in the identification unit, and acquiring a corresponding approved face when the approved characteristic angle value consistent with the characteristic angle value is obtained through comparison;
s3: comparing the approved face with the real-time face information, and generating an initial communication signal if the approved face is consistent with the real-time face information;
s4: acquiring a real-time face picture at the moment, and marking the real-time face picture as a stop-motion picture;
s5: after the time T1, acquiring the corresponding face picture again according to the angle consistent with the acquired stop motion picture, and marking the face picture as a post-stop motion picture;
s6: acquiring contour lines of the stop motion picture and the post-stop motion picture, overlapping the contour lines and the post-stop motion picture to acquire the areas of all difference parts, and acquiring the difference areas;
s7: when the difference area exceeds a preset value X2, generating a passing signal; x2 is a preset value;
the identification unit is used for transmitting the passing signal to the entrance guard driving unit, and the entrance guard driving unit automatically opens the entrance guard when receiving the passing signal transmitted by the identification unit; meanwhile, the entrance guard driving unit transmits a verification signal to the linkage unit when receiving the passing signal, and the linkage unit transmits the verification signal to the comprehensive unit when receiving the verification signal transmitted by the entrance guard driving unit;
the first illumination sensor is arranged indoors and used for acquiring indoor illumination and transmitting the indoor illumination to the comprehensive unit; the illumination sensor II is arranged outdoors and used for acquiring outdoor illumination and transmitting the outdoor illumination to the comprehensive unit;
the comprehensive unit performs illumination analysis on indoor illuminance and outdoor illuminance when receiving the verification signal, and the specific analysis is as follows:
s01: acquiring indoor illuminance and outdoor illuminance;
s02: when the indoor illuminance is lower than the illuminance G1 and the outdoor illuminance exceeds the illuminance G2, a windowing signal is generated;
s03: when the indoor illumination is lower than the illumination G1 and the outdoor illumination is lower than the illumination G2, an illumination signal is generated, and the indoor illumination is turned on;
s04: when the indoor illuminance is greater than the illuminance G1, no processing is performed;
the comprehensive unit transmits the windowing signal to the processor when generating the windowing signal, the processor receives the windowing signal transmitted by the comprehensive unit and transmits the windowing signal to the display unit, and the display unit receives the windowing signal transmitted by the processor and displays the word 'good external illumination and please open the window'.
The entrance guard driving unit transmits a test signal to the processor when receiving the passing signal transmitted by the identification unit, and the processor starts the pressure detection unit when receiving the test signal; the pressure detection unit is a pressure sensor arranged on the floor inside the door, and when the pressure detection unit detects that the pressure information exceeds a preset value, a starting signal is transmitted to the air conditioner control module, and the air conditioner is started to adjust the temperature to the preset value.
When the intelligent home control system works, firstly, face information of a user is obtained through an intelligent monitoring unit, whether a door is opened or not is detected through a pressure sensor arranged between door gaps, if the door is detected to be opened, the face information is obtained, the user is shown to go out of a door at the moment, the face information and clothing information of the user at the moment are obtained, and if the user is detected to return the door on the same day, identity verification is achieved by comparing the face with the clothing; if the non-user returns on the same day, corresponding face information is obtained automatically by analyzing the characteristic angle value of the user, the face information is compared with the face detected in real time, and if the face information is consistent with the face detected in real time, whether the face of the user is a photo or not is checked; if the verification condition is met, the access control can be automatically opened;
after the entrance guard is opened, whether lighting is opened or window opening light passing is conducted is analyzed through the first illumination sensor and the second illumination sensor; meanwhile, the pressure detection unit detects the pressure, and when a user is ensured to enter the room, the air conditioner control module is started to turn on the air conditioner, so that the indoor temperature is adjusted to be a preset value.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (4)
1. An intelligent home regulation and control system based on big data is characterized by comprising an intelligent monitoring unit, an identification unit, an entrance guard driving unit, a linkage unit, a processor, a display unit, a pressure detection unit, an air conditioner control module, a comprehensive unit, a first illumination sensor and a second illumination sensor;
wherein, the intelligent monitoring unit is including setting up the surveillance camera head outside the door to and the pressure sensor who sets up between door and doorframe for carry out user condition analysis, specific analysis step is:
the method comprises the following steps: within a preset time after the pressure sensor detects the pressure, if a face is detected, the user is indicated to go out, a wearing picture of the user is obtained at the moment, the face is obtained, the face is transmitted to the recognition unit, the user is recognized, and the state of the user is marked as leaving;
step two: acquiring the leaving time of a user, if the user returns within the same day of the leaving time, comparing the face of the user coming home with the face of the family household when the face of the user coming home is detected, and if the face of the user coming home is consistent with the face of the family household when the face of the user coming home is detected, generating an initial communication signal when the face of the user coming home is away within the same day;
step three: acquiring a wearing picture of a face of a user generating an initial communication signal, acquiring a real-time wearing picture of the user through a camera, comparing the real-time wearing picture with the wearing picture, and if the similarity of the real-time wearing picture and the wearing picture exceeds X1, taking X1 as a preset value to generate a correct signal;
step four: if the current day does not return, performing detailed analysis in the step six;
step five: if the pressure sensor does not detect the pressure or detects that the pressure exceeds the preset time, detecting the face, and performing detailed analysis in the step six, wherein the face comes home on other days;
step six: the method comprises the steps of acquiring a detected user face, marking the detected user face as real-time face information, and carrying out detailed analysis on the real-time face information, wherein the detailed analysis comprises the following specific steps:
s1: firstly, acquiring real-time face information;
s2: carrying out characteristic angle value analysis, specifically:
s21: acquiring a nose tip point, wherein the nose tip point is a point of a nose tip of a user, then acquiring left and right earlobe points, wherein the left and right earlobe points are the lowest points of a left ear and a right ear of the user, respectively connecting the nose tip point with the left and right earlobe points, marking a formed acute angle as a characteristic angle, and acquiring a characteristic angle value;
s22: transmitting the characteristic angle values to the recognition unit; the recognition unit is internally provided with an approved face and a corresponding approved characteristic angle value; comparing the characteristic angle value with an approved characteristic angle value built in the identification unit, and acquiring a corresponding approved face when the approved characteristic angle value consistent with the characteristic angle value is obtained through comparison;
s3: comparing the approved face with the real-time face information, and generating an initial communication signal if the approved face is consistent with the real-time face information;
s4: acquiring a real-time face picture at the moment, and marking the real-time face picture as a stop-motion picture;
s5: after the time T1, acquiring the corresponding face picture again according to the angle consistent with the acquired stop motion picture, and marking the face picture as a post-stop motion picture;
s6: acquiring contour lines of the stop motion picture and the post-stop motion picture, overlapping the contour lines and the post-stop motion picture to acquire the areas of all difference parts, and acquiring the difference areas;
s7: when the difference area exceeds a preset value X2, generating a passing signal; x2 is a preset value;
the identification unit is used for transmitting the passing signal to the entrance guard driving unit, and the entrance guard driving unit automatically opens the entrance guard when receiving the passing signal transmitted by the identification unit.
2. The smart home regulation and control system based on big data according to claim 1, wherein the access control driving unit transmits a verification signal to the linkage unit when receiving the pass signal, and the linkage unit transmits the verification signal to the integration unit when receiving the verification signal transmitted by the access control driving unit;
the first illumination sensor is arranged indoors and used for acquiring indoor illumination and transmitting the indoor illumination to the comprehensive unit; the illumination sensor II is arranged outdoors and used for acquiring outdoor illumination and transmitting the outdoor illumination to the comprehensive unit;
the comprehensive unit performs illumination analysis on indoor illuminance and outdoor illuminance when receiving the verification signal, and the specific analysis is as follows:
s01: acquiring indoor illuminance and outdoor illuminance;
s02: when the indoor illuminance is lower than the illuminance G1 and the outdoor illuminance exceeds the illuminance G2, a windowing signal is generated;
s03: when the indoor illumination is lower than the illumination G1 and the outdoor illumination is lower than the illumination G2, an illumination signal is generated, and the indoor illumination is turned on;
s04: when the indoor illuminance is greater than the illuminance G1, no processing is performed.
3. The smart home control system based on big data according to claim 2, wherein the integration unit transmits the windowing signal to the processor when generating the windowing signal, the processor receives the windowing signal transmitted by the integration unit and transmits the windowing signal to the display unit, and the display unit receives the windowing signal transmitted by the processor and displays a word "good outside light, please open a window".
4. The intelligent household regulation and control system based on big data according to claim 2, characterized in that the entrance guard driving unit transmits a test signal to the processor when receiving the pass signal transmitted by the identification unit, and the processor starts the pressure detection unit when receiving the test signal; the pressure detection unit is a pressure sensor arranged on the floor in the door, and when the pressure detection unit detects that the pressure information exceeds a preset value, a starting signal is transmitted to the air conditioner control module to start the air conditioner.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010215098.8A CN111505950A (en) | 2020-03-24 | 2020-03-24 | Intelligent home regulation and control system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010215098.8A CN111505950A (en) | 2020-03-24 | 2020-03-24 | Intelligent home regulation and control system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111505950A true CN111505950A (en) | 2020-08-07 |
Family
ID=71864651
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010215098.8A Withdrawn CN111505950A (en) | 2020-03-24 | 2020-03-24 | Intelligent home regulation and control system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111505950A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111927161A (en) * | 2020-08-17 | 2020-11-13 | 安徽引航人广告标识有限公司 | Intelligent shielding safety type bus stop based on Internet of things |
| CN114016261A (en) * | 2021-10-28 | 2022-02-08 | 广东好太太智能家居有限公司 | Automatic illumination method and system for clothes airing machine based on big data analysis and electronic equipment |
-
2020
- 2020-03-24 CN CN202010215098.8A patent/CN111505950A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111927161A (en) * | 2020-08-17 | 2020-11-13 | 安徽引航人广告标识有限公司 | Intelligent shielding safety type bus stop based on Internet of things |
| CN114016261A (en) * | 2021-10-28 | 2022-02-08 | 广东好太太智能家居有限公司 | Automatic illumination method and system for clothes airing machine based on big data analysis and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20220191427A1 (en) | Audio/video device with viewer | |
| US10769914B2 (en) | Informative image data generation using audio/video recording and communication devices | |
| US11647165B1 (en) | Audio/video recording and communication doorbell devices including transistor assemblies, and associated systems and methods | |
| US11315400B1 (en) | Appearance based access verification | |
| WO2014139416A1 (en) | Emergent abnormal event intelligent identification alarm device and system | |
| US11240474B1 (en) | Reporting connectivity problems for electronic devices | |
| WO2014139415A1 (en) | Smart door/window anti-intrusion apparatus and system and smart access control system | |
| US11064167B2 (en) | Input functionality for audio/video recording and communication doorbells | |
| CN111063067A (en) | Intelligent access control system based on voice control | |
| CN111505950A (en) | Intelligent home regulation and control system based on big data | |
| CN105867151A (en) | Intelligent face recognition household door system and working method | |
| US11539922B2 (en) | Point-to-point visual communications in a security monitoring system | |
| CN111948954B (en) | Intelligent home system based on internet control | |
| CN112991585A (en) | Personnel entering and exiting management method and computer readable storage medium | |
| US10791607B1 (en) | Configuring and controlling light emitters | |
| US10490033B1 (en) | Customized notifications based on device characteristics | |
| CN111429638B (en) | Access control method based on voice recognition and face recognition | |
| CN109841034A (en) | A kind of intelligent monitor system based on Internet of Things | |
| US11032128B2 (en) | Using a local hub device as a substitute for an unavailable backend device | |
| CN112488517A (en) | Building big data unattended system | |
| CN109283849B (en) | Intelligent house system | |
| US10834366B1 (en) | Audio/video recording and communication doorbell devices with power control circuitry | |
| CN208314482U (en) | Smart office management system | |
| CN113703336A (en) | Hotel intelligent home master control system and control network | |
| CN206193973U (en) | Building entrance guard automated control device based on adjustting of lighteness |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200807 |