CN110989370B - Intelligent household interaction control method and system - Google Patents
Intelligent household interaction control method and system Download PDFInfo
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- CN110989370B CN110989370B CN201911079639.2A CN201911079639A CN110989370B CN 110989370 B CN110989370 B CN 110989370B CN 201911079639 A CN201911079639 A CN 201911079639A CN 110989370 B CN110989370 B CN 110989370B
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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], 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]
Abstract
The invention relates to the field of intelligent home furnishing, in particular to an intelligent home furnishing interaction control method and a control system, wherein the control method comprises the following steps: establishing a knowledge graph of the environment state and the intelligent home operation; generating new associated knowledge according to the active control instruction and the corresponding active environment parameters, and storing the associated knowledge into the knowledge graph; the method comprises the steps of obtaining environmental parameters, sending an operation instruction corresponding to the environmental parameters in the knowledge graph to the smart home to adjust the operation state of the smart home, establishing the knowledge graph with the environment state associated with the operation of the smart home, generating new associated knowledge according to an active control instruction and the corresponding active environmental parameters, storing the associated knowledge into the knowledge graph, perfecting the knowledge graph, forming the knowledge graph specific to the user individuation, and improving the comfort of the user.
Description
Technical Field
The invention relates to the field of intelligent home furnishing, in particular to an intelligent home furnishing interaction control method and system.
Background
Knowledge graph: a knowledge domain visualization or knowledge domain mapping map is a series of different graphs displaying the relationship between the knowledge development process and the structure, describing knowledge resources and carriers thereof by using visualization technology, and mining, analyzing, constructing, drawing and displaying knowledge and the mutual relation between the knowledge resources and the carriers. The sleep function of the traditional household appliance is single state change, the automatic adjustment function aiming at different sleep states of a user is not provided, the automatic adjustment cannot be carried out according to the current environment and the running state of the previous similar environment, and the automation, integration, humanization and other aspects of the household appliance service user are relatively deficient.
Disclosure of Invention
The invention aims to provide an intelligent home interaction control method and system, which can solve the problems and enable an intelligent home to have a learning interaction function.
The embodiment of the invention is realized by the following steps:
an intelligent home interaction control method comprises the following steps:
establishing a knowledge graph of an environment state and intelligent home operation, wherein the environment state is a sleep state of a user, and the knowledge graph of the sleep state and the intelligent home operation is established based on physiological and nervous state comfort levels;
adjusting the corresponding relation between the sleep state in the knowledge graph and the intelligent home operation;
receiving a user active control instruction, acquiring active environment parameters corresponding to the active control instruction, generating new associated knowledge according to the active control instruction and the corresponding active environment parameters, and storing the associated knowledge into the knowledge graph to form an individualized knowledge graph for a user;
and the acquired environmental parameters and the operation instructions corresponding to the environmental parameters in the knowledge graph are sent to the intelligent home to adjust the operation state of the intelligent home.
Further, in an embodiment of the present invention, the obtaining of the sleep sign data of the user;
analyzing the sleep sign data according to a sleep model to obtain the sleep state.
Further, in one embodiment of the present invention, the active environment parameters include a time parameter, an indoor temperature parameter, and an indoor humidity parameter.
Further, in an embodiment of the present invention, the environment parameters include a user sleep state parameter, a time parameter, an indoor temperature parameter, and an indoor humidity parameter.
An intelligent home interaction control system, comprising:
the environment monitoring module is used for acquiring a sleep state of a user and active environment parameters, wherein the active environment parameters comprise a time parameter, an indoor temperature parameter and an indoor humidity parameter;
the interactive data processing module is used for collecting a user active control instruction and active environment parameters when the active control instruction is sent out, and generating new associated knowledge according to the active control instruction and the active environment parameters to form an individualized knowledge map for the user;
the knowledge graph generation control module is used for storing a knowledge graph of which the environment state is related to the operation of the intelligent home, the environment state is the sleep state of a user, the knowledge graph of which the sleep state is related to the operation of the intelligent home is established based on the comfort level of the physiological state and the nervous state, and an operation instruction is sent to the intelligent home based on the environment parameters so as to adjust the operation state of the intelligent home, and the user can adjust the corresponding relation between the sleep state in the knowledge graph and the operation of the intelligent home according to the sleep habit.
Further, in an embodiment of the present invention, the environment monitoring module includes a temperature sensor, a humidity sensor, and a wearable device for wearing on the user.
Further, in an embodiment of the present invention, the smart home includes an intelligent air conditioner, an intelligent humidifier and an intelligent music player, the intelligent air conditioner, the intelligent humidifier and the intelligent music player are respectively provided with an active instruction sending module, and the active instruction sending module is configured to send an active control instruction of a user to the interactive data processing module.
The embodiment of the invention has the beneficial effects that:
the method comprises the steps of establishing a knowledge graph with an environment state associated with the operation of the smart home, generating new associated knowledge according to an active control instruction and corresponding active environment parameters, storing the associated knowledge into the knowledge graph, perfecting the knowledge graph, forming a knowledge graph specific to a user, improving the comfort of the user, obtaining environment parameters, and sending an operation instruction corresponding to the environment parameters in the knowledge graph to the smart home to adjust the operation state of the smart home, so that the smart home has a learning interaction function.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic flow chart of an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Example 1:
with reference to fig. 1, the present embodiment provides an intelligent home interaction control method and a control system, which can actively control an intelligent air conditioner, an intelligent humidifier and an intelligent music player, wherein the control method includes:
step S01, establishing a knowledge graph associated with the environment state and the intelligent household operation;
specifically, the environment state comprises a sleep state of a user, a time parameter, an indoor temperature parameter and an indoor humidity parameter, sleep sign data of the user are obtained through the wearable device, the sleep sign data are analyzed according to a sleep model, so that the sleep state of the user is obtained, the sleep state of the user is divided into four states of falling asleep, light asleep, deep asleep and continuous deep asleep, a knowledge map associated with the intelligent home operation state is established according to states of waking dream, night terror, sleepwalking and sleep paralysis, the indication map can be generated by the user through autonomous editing, and can also be generated according to a physiological and nervous state comfort system, and each sleep state of the user corresponds to one home operation state. The time parameter, the indoor temperature parameter and the indoor humidity parameter are user active environment parameters, and the active environment parameters correspond to active control instructions of the user.
Step S02, generating new associated knowledge according to the active control instruction and the corresponding active environment parameters, and storing the associated knowledge into the knowledge graph;
specifically, the indoor temperature and the indoor humidity are detected through a temperature sensor and a humidity sensor, an active instruction sending module is respectively arranged on the intelligent air conditioner, the intelligent humidifier and the intelligent music player, the active instruction sending module is used for sending an active control instruction of a user to the interactive data processing module, receiving the active control instruction of the user, simultaneously obtaining a time parameter, an indoor temperature parameter and an indoor humidity parameter when the active control instruction is sent out, combining the time parameter, the indoor temperature parameter and the indoor humidity parameter to form an active environment parameter, combining the active environment parameter with a master control instruction to generate new associated knowledge, and storing the new associated knowledge in a knowledge map.
And step SO3, acquiring environmental parameters, and sending the operation instruction corresponding to the environmental parameters in the knowledge graph to the smart home to adjust the operation state of the smart home.
Specifically, a sleep state of the user, an indoor temperature parameter, an indoor humidity parameter and a time parameter are obtained. The sleep state is used as an active control parameter of the household equipment, and the working state of the intelligent household is automatically adjusted based on the acquired sleep state. The method comprises the steps that in the sleep state of a user, sleep sign data of the user are obtained through wearable equipment, the sleep sign data are analyzed according to a sleep model, so that the sleep state of the user is obtained, and according to a knowledge graph related to the sleep state and the operation of the intelligent home, a control instruction is sent to the intelligent home to adjust the operation mode of the intelligent home. If the temperature and the wind degree of the intelligent air conditioner are controlled, the working state of the intelligent humidifier is controlled, and a user can enter the most comfortable sleeping environment.
The indoor temperature parameter, the indoor humidity parameter and the time parameter are parameters for interactive learning of the smart home under active control of a user. When a user actively controls the smart home, the smart home acquires time, humidity and temperature in a control state, combines the time parameter, the indoor temperature parameter and the indoor humidity parameter to form an active environment parameter, generates new associated knowledge according to the recorded active control instruction, the active environment parameter and the active control instruction, and stores the new associated knowledge into a knowledge graph to form a knowledge graph personalized for the user.
Under the sleep state of the user, the sleep state of the user is detected in real time, the operation mode of the smart home is adjusted according to the sleep state of the user, the use requirement of the user is met, and a comfortable sleep environment is provided. The user can adjust the corresponding relation between the sleep state in the indication map and the intelligent home operation according to the sleep habit. And generating new associated knowledge according to the active control instruction and the corresponding active environment parameters under the non-sleep state of the user, and storing the associated knowledge into the knowledge graph to realize the learning interaction of the smart home.
In this embodiment, the user can set up the intelligent lamp, the intelligent curtain and the intelligent music player respectively according to the life habits. The intelligent lamp and the intelligent curtain can be combined with the time parameter and the user state respectively to generate the associated knowledge, and if the intelligent lamp and the intelligent curtain are controlled to be opened after the time parameter and the user state parameter are in accordance when the user is detected to wake up in the early morning. The user can set a time parameter by himself or herself with associated knowledge of the music player switch, if the user has a habit of playing music for afternoon nap, the time parameter includes time period information, the time parameter is combined with the user state, the human sleep state is monitored after the time meets the time parameter, if the user enters the sleep state, an opening instruction is sent to the intelligent music player based on the knowledge graph, and the music player automatically plays music.
On the basis of the above contents, the scheme can also be realized by a sound source positioning device and a noise detection device, wherein the sound source positioning device acquires voiceprint data and position data of users, the users are identified and calibrated through the voiceprint data, each user can set an individualized knowledge map, and the position data is used for assisting in judging the position information of the users and determining whether the users are ready to rest, and if the users lie on the bed for a long time, the sound source position is not changed greatly; the noise detection device detects the indoor noise state and assists in judging the user state, such as: when a user watches television or chats with others, a certain noise exists in the room, which indicates that the user is in a non-sleep state. When the sound source positioning device cannot acquire a user sound source, the position of the user does not change greatly for a long time, the user can be judged to be in a sleeping state, when the indoor noise is large, the intelligent home which works at present can be controlled to start a mute mode, and the door and window can be controlled to be closed and locked.
The embodiment also provides an intelligent home interaction control system, and the intelligent home interaction control method comprises an environment monitoring module, an interaction data processing module and a knowledge graph generating module.
The environment monitoring module is used for acquiring a sleep state, a time parameter, an indoor temperature parameter and an indoor humidity parameter of a user; the interactive data processing module is used for collecting the user active control instruction and the active environment parameter when the active control instruction is sent out, and generating new associated knowledge according to the active control instruction and the active environment parameter; the knowledge graph generation control module is used for storing a knowledge graph related to the environment state and the intelligent home operation, and sending an operation instruction to the intelligent home based on the environment parameters so as to adjust the intelligent home operation state.
The environment monitoring module comprises a temperature sensor, a humidity sensor and a wearing device used for wearing the user. The intelligent home comprises an intelligent air conditioner, an intelligent humidifier and an intelligent music player, wherein the intelligent air conditioner, the intelligent humidifier and the intelligent music player are respectively provided with an active instruction sending module, and the active instruction sending module is used for sending active control instructions of users to the interactive data processing module.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. The intelligent home interaction control method is characterized by comprising the following steps:
establishing a knowledge graph of an environment state and intelligent home operation, wherein the environment state is a sleep state of a user, and the knowledge graph of the sleep state and the intelligent home operation is established based on physiological and nervous state comfort levels;
adjusting the corresponding relation between the sleep state in the knowledge graph and the intelligent home operation;
receiving a user active control instruction, acquiring active environment parameters when the active control instruction is sent out, generating new associated knowledge according to the active control instruction and the active environment parameters, and storing the associated knowledge into the knowledge graph to form an individualized knowledge graph for a user;
and the acquired environmental parameters and the operation instructions corresponding to the environmental parameters in the knowledge graph are sent to the intelligent home to adjust the operation state of the intelligent home.
2. The smart home interaction control method according to claim 1,
acquiring sleep sign data of a user;
analyzing the sleep sign data according to a sleep model to obtain the sleep state.
3. The intelligent home interaction control method according to claim 1, wherein the active environment parameters include a time parameter, an indoor temperature parameter, and an indoor humidity parameter.
4. The intelligent home interaction control method according to claim 1, wherein the environmental parameters include a user sleep state parameter, a time parameter, an indoor temperature parameter, and an indoor humidity parameter.
5. The utility model provides an intelligent house interactive control system which characterized in that includes:
the environment monitoring module is used for acquiring a sleep state of a user and active environment parameters, wherein the active environment parameters comprise a time parameter, an indoor temperature parameter and an indoor humidity parameter;
the interactive data processing module is used for collecting a user active control instruction and active environment parameters when the active control instruction is sent out, and generating new associated knowledge according to the active control instruction and the active environment parameters to form an individualized knowledge map for the user;
the knowledge graph generation control module is used for storing a knowledge graph of which the environment state is related to the operation of the intelligent home, the environment state is the sleep state of a user, the knowledge graph of which the sleep state is related to the operation of the intelligent home is established based on the comfort level of the physiological state and the nervous state, and an operation instruction is sent to the intelligent home based on the environment parameters so as to adjust the operation state of the intelligent home, and the user can adjust the corresponding relation between the sleep state in the knowledge graph and the operation of the intelligent home according to the sleep habit.
6. The smart home interaction control system of claim 5, wherein the environment monitoring module comprises a temperature sensor, a humidity sensor and a wearable device for wearing a user.
7. The intelligent home interaction control system according to claim 5, wherein the intelligent home comprises an intelligent air conditioner, an intelligent humidifier and an intelligent music player, the intelligent air conditioner, the intelligent humidifier and the intelligent music player are respectively provided with an active instruction sending module, and the active instruction sending module is used for sending an active control instruction of a user to the interaction data processing module.
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| CN112230558A (en) * | 2020-11-03 | 2021-01-15 | 四川长虹电器股份有限公司 | Automatic energy-saving control method and system for intelligent home |
| CN112782997B (en) * | 2020-12-31 | 2023-03-31 | 青岛海尔科技有限公司 | Equipment control method and device, storage medium and electronic device |
| CN113111186A (en) * | 2021-03-31 | 2021-07-13 | 青岛海尔科技有限公司 | Method for controlling household appliance, storage medium and electronic device |
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| CN105352126A (en) * | 2015-11-23 | 2016-02-24 | 珠海格力电器股份有限公司 | Air conditioner control method and system |
| CN106713083B (en) * | 2016-11-24 | 2020-06-26 | 海信集团有限公司 | Intelligent household equipment control method, device and system based on knowledge graph |
| CN107665230B (en) * | 2017-06-21 | 2021-06-01 | 海信集团有限公司 | Training method and device of user behavior prediction model for intelligent home control |
| US10536294B2 (en) * | 2017-07-17 | 2020-01-14 | Midea America Corp. | Computer-based platform for quality management of home devices |
| EP3557500A1 (en) * | 2018-04-20 | 2019-10-23 | Facebook, Inc. | Building customized user profiles based on conversational data |
| CN109088806A (en) * | 2018-10-11 | 2018-12-25 | 珠海格力电器股份有限公司 | A kind of smart home sleep regulation method and system |
| CN109754804A (en) * | 2019-02-21 | 2019-05-14 | 珠海格力电器股份有限公司 | A kind of sound control method, device, storage medium and smart home system |
| CN110286601A (en) * | 2019-07-01 | 2019-09-27 | 珠海格力电器股份有限公司 | Control the method, apparatus, control equipment and storage medium of smart home device |
| CN110287937A (en) * | 2019-07-02 | 2019-09-27 | 珠海格力电器股份有限公司 | Equipment state reminding method, control equipment and the control system of knowledge based map |
| CN110286602A (en) * | 2019-07-02 | 2019-09-27 | 珠海格力电器股份有限公司 | The intelligent home furnishing control method of knowledge based map, control equipment and system |
| CN110262273A (en) * | 2019-07-12 | 2019-09-20 | 珠海格力电器股份有限公司 | A kind of home equipment control method, device, storage medium and smart home system |
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