CN112506068A - Smart home management system based on accurate recognition and cluster analysis - Google Patents
Smart home management system based on accurate recognition and cluster analysis Download PDFInfo
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- CN112506068A CN112506068A CN202011473475.4A CN202011473475A CN112506068A CN 112506068 A CN112506068 A CN 112506068A CN 202011473475 A CN202011473475 A CN 202011473475A CN 112506068 A CN112506068 A CN 112506068A
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- 238000007621 cluster analysis Methods 0.000 title claims abstract description 24
- 238000001914 filtration Methods 0.000 claims description 5
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- 241001465382 Physalis alkekengi Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention discloses an intelligent home management system based on accurate identification and cluster analysis, which comprises a plurality of identification devices and a management server, wherein one identification device is arranged in each room, each identification device is connected with the management server through a network, and the management server is connected with each intelligent home device through the network; the identification device comprises an identity identification module and an action identification module, and is used for identifying the identity and the action position of family members in a room; the management server performs cluster analysis on the household equipment operation records according to the family member personal preference and daily family member operation records to obtain the operation preference model of each family member, and controls the intelligent household equipment according to the operation preference model and the identification result of the identification device. The invention classifies the operation preferences of family members respectively to establish an operation model through cluster analysis, and provides personalized and automatic operation control on the intelligent household equipment according to the instant information.
Description
Technical Field
The invention belongs to the field of intelligent systems, and particularly relates to an intelligent home management system based on accurate identification and cluster analysis.
Background
Smart home devices are increasingly used in daily life of people, however, each smart home device still has an independent control mode and an independent control device, and a user needs to operate the smart home device respectively. Even if the prior art has the comprehensive control platform for controlling the intelligent household equipment, the comprehensive control platform simply collects the control functions of the intelligent household equipment together, but cannot realize the personalized and automatic operation according to the identity of the family members.
Disclosure of Invention
The invention provides an intelligent home management system based on accurate identification and cluster analysis, which realizes the personalized and automatic operation of intelligent home equipment according to the identity of family members.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
an intelligent home management system based on accurate identification and cluster analysis comprises a plurality of identification devices and a management server, wherein one identification device is arranged in each room, each identification device is connected with the management server through a network, and the management server is connected with each intelligent home device through the network; the identification device comprises an identity identification module and an action identification module, and is used for identifying the identity and the action position of family members in a room; the management server performs cluster analysis on the household equipment operation records according to the family member personal preference and daily family member operation records to obtain the operation preference model of each family member, and controls the intelligent household equipment according to the operation preference model and the identification result of the identification device.
Furthermore, the identity recognition module comprises a face recognition unit and an acoustic wave recognition unit, the action recognition module comprises a pyroelectric sensor unit, and the face recognition unit, the acoustic wave recognition unit and the pyroelectric sensor unit are connected with the processor unit; the processor unit is also connected with a power supply module and a network module, and the network module is used for being connected with the management server through a network.
Further, the sound wave identification unit comprises a sound wave receiver and a signal amplification and filtering circuit.
Furthermore, the face recognition unit comprises a high-definition camera for acquiring face images.
Further, the management server comprises a storage module, an identification and judgment module, a cluster analysis module and a control module, wherein the storage module is used for storing the face images and the sound wave information of the family members, and the personal preference information and the operation record information of the family members; the identification judging module compares the face image and the sound wave information collected by the identification device with the information of the storage module to judge the identity of the family member and judges the position of the family member in a room according to the signal of the pyroelectric sensor; the cluster analysis module obtains an operation preference model of the family members through a clustering algorithm according to the personal preference information and the operation record information of the family members in the storage module; and the control module sends a control instruction to the corresponding intelligent household equipment according to the identity, the position and the operation preference model of the family member.
Further, the clustering algorithm is a k-means algorithm.
Compared with the prior art, the invention has the following beneficial effects:
(1) according to the invention, through the identification device, the identity information and the action position information of family members in a room can be collected in real time, and instant information is provided for the personalized control of the intelligent household equipment;
(2) the invention classifies the operation preferences of family members respectively to establish an operation model through cluster analysis, and provides personalized and automatic operation control on the intelligent household equipment according to the instant information.
Drawings
FIG. 1 is a schematic diagram of a system architecture of an embodiment of the present invention;
FIG. 2 is a block diagram of an identification device according to an embodiment of the present invention;
fig. 3 is a functional configuration diagram of the management server.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art through specific situations.
The invention is further described with reference to the following figures and specific embodiments.
The intelligent household equipment is arranged in a household housing provided with the intelligent household equipment, and the intelligent household equipment can comprise an intelligent television, an intelligent sound box, a computer of a study room, an intelligent kitchen ware, an electric curtain and a humidifier of a bedroom, lamps and lanterns of each room, an air conditioner and the like. Therefore, the intelligent home management system is also a scheme for uniformly managing the intelligent home devices distributed in each room.
Fig. 1 is a schematic diagram of a system structure of the present invention, which includes a management server as a core, and an identification device disposed in each room, where the identification device provides the management server with identity information and action positions of family members in the room, and the management server determines operations required by smart home devices in each room and controls the smart home devices to be turned on and off according to the determination.
Fig. 2 is a block diagram of an identification device according to an embodiment of the present invention, in which a STM32 chip is used as a processor, and the processor is connected to a power supply module for supplying power to the identification device and a network module, which may be a wired connection or a wireless connection, for communication between the STM32 chip and a management server. In the recognition device, a high-definition camera is connected with an STM32 chip and used as a face recognition unit for collecting face information in a room to perform face recognition; the miniature microphone is connected with a signal amplification and filtering circuit, and the amplification and filtering circuit is connected with an STM32 chip; the miniature microphone and the signal amplifying and filtering circuit jointly form a sound wave receiving unit which is used for receiving voice information of family members in a room; also connected to the STM32 chip is a pyroelectric sensor that is matched with a lens to detect the home member's mobile position in the room using passive infrared detection techniques.
As shown in fig. 3, the management server includes a storage module, an identification and judgment module, a cluster analysis module, and a control module, where the storage module is used to store the face image and the sound wave information of the family member, and the personal preference information and the operation record information of the family member; the identification judging module compares the face image and the sound wave information collected by the identification device with the information of the storage module to judge the identity of the family member and judges the position of the family member in a room according to the signal of the pyroelectric sensor; the cluster analysis module obtains an operation preference model of the family members through a clustering algorithm according to the personal preference information and the operation record information of the family members in the storage module; and the control module sends a control instruction to the corresponding intelligent household equipment according to the identity, the position and the operation preference model of the family member.
The family member personal preference information is acquired from the management server in a questioning mode and is used as sample data, the family member is divided into various categories through the sample data, and the family member personal preference information can often operate intelligent kitchenware such as a kitchen lamp or an electric cooker and the like, for example, the family type; entertainment type, the television and the sound in the living room are often operated; the working type can often operate computers, lights and the like in a study. After the initial division, the identification device can collect the operation of different family members in different time periods on each intelligent household device in different rooms, the operation record information is sent to the management server, the cluster analysis module takes the operation record information as a data sample, the operation data of certain intelligent household device in a certain time period is set as a condition through a k-means algorithm, the cluster processing is carried out, and an operation preference model of each family member is established.
When the control module sends a control instruction to the corresponding intelligent household equipment according to the identity, the position and the operation preference model of the family member, the identification device continues to collect the next operation condition of the family member and sends the next operation condition to the management server as new sample data to update the operation preference model.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (6)
1. The intelligent home management system based on accurate identification and cluster analysis is characterized by comprising a plurality of identification devices and a management server, wherein one identification device is arranged in each room, each identification device is connected with the management server through a network, and the management server is connected with each intelligent home device through the network; the identification device comprises an identity identification module and an action identification module, and is used for identifying the identity and the action position of family members in a room; the management server performs cluster analysis on the household equipment operation records according to the family member personal preference and daily family member operation records to obtain the operation preference model of each family member, and controls the intelligent household equipment according to the operation preference model and the identification result of the identification device.
2. The smart home management system based on the precise recognition and the cluster analysis according to claim 1, wherein the identity recognition module comprises a face recognition unit and a sound wave recognition unit, the action recognition module comprises a pyroelectric sensor unit, and the face recognition unit, the sound wave recognition unit and the pyroelectric sensor unit are connected with the processor unit; the processor unit is also connected with a power supply module and a network module, and the network module is used for being connected with the management server through a network.
3. The smart home management system based on the precise recognition and the cluster analysis according to claim 2, wherein the sound wave recognition unit comprises a sound wave receiver and a signal amplification and filtering circuit.
4. The smart home management system based on the precise recognition and the cluster analysis according to claim 2, wherein the face recognition unit comprises a high-definition camera for collecting face images.
5. The smart home management system based on the precise recognition and the cluster analysis as claimed in claim 1, wherein the management server comprises a storage module, a recognition and judgment module, a cluster analysis module and a control module, wherein the storage module is used for storing the face images and the sound wave information of the family members, and the personal preference information and the operation record information of the family members; the identification judging module compares the face image and the sound wave information collected by the identification device with the information of the storage module to judge the identity of the family member and judges the position of the family member in a room according to the signal of the pyroelectric sensor; the cluster analysis module obtains an operation preference model of the family members through a clustering algorithm according to the personal preference information and the operation record information of the family members in the storage module; and the control module sends a control instruction to the corresponding intelligent household equipment according to the identity, the position and the operation preference model of the family member.
6. The smart home management system based on the precise recognition and the cluster analysis according to claim 5, wherein the clustering algorithm is a k-means algorithm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011473475.4A CN112506068A (en) | 2020-12-15 | 2020-12-15 | Smart home management system based on accurate recognition and cluster analysis |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011473475.4A CN112506068A (en) | 2020-12-15 | 2020-12-15 | Smart home management system based on accurate recognition and cluster analysis |
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| CN112506068A true CN112506068A (en) | 2021-03-16 |
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| CN202011473475.4A Withdrawn CN112506068A (en) | 2020-12-15 | 2020-12-15 | Smart home management system based on accurate recognition and cluster analysis |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113946127A (en) * | 2021-10-15 | 2022-01-18 | 南京工业大学 | Intelligent home system based on edge computing technology |
| CN114740745A (en) * | 2022-04-25 | 2022-07-12 | 深圳市联合同创科技股份有限公司 | Intelligent home control method and terminal |
-
2020
- 2020-12-15 CN CN202011473475.4A patent/CN112506068A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113946127A (en) * | 2021-10-15 | 2022-01-18 | 南京工业大学 | Intelligent home system based on edge computing technology |
| CN114740745A (en) * | 2022-04-25 | 2022-07-12 | 深圳市联合同创科技股份有限公司 | Intelligent home control method and terminal |
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