CN109976169B - Internet television intelligent control method and system based on self-learning technology - Google Patents

Internet television intelligent control method and system based on self-learning technology Download PDF

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Publication number
CN109976169B
CN109976169B CN201910177082.XA CN201910177082A CN109976169B CN 109976169 B CN109976169 B CN 109976169B CN 201910177082 A CN201910177082 A CN 201910177082A CN 109976169 B CN109976169 B CN 109976169B
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information
user
control model
television
internet television
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CN109976169A (en
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陈小平
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Foshan Viomi Electrical Technology Co Ltd
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Foshan Viomi Electrical Technology Co Ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00Systems controlled by a computer
    • G05B15/02Systems controlled by a computer electric
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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]
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/26Pc applications
    • G05B2219/2642Domotique, domestic, home control, automation, smart house
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40Control techniques providing energy savings, e.g. smart controller or presence detection

Abstract

The invention relates to the field of intelligent home furnishing, in particular to an Internet television intelligent control method and a control system based on a self-learning technology, wherein the Internet television intelligent control method based on the self-learning technology comprises the following steps: a. self-learning step: a1. collecting user identity information; a2. collecting environmental information and time information; a3. establishing a control model and storing; b. the Internet television intelligent control step: b1. collecting and identifying user identity information, environment information and time information; b2. matching and calling a control model corresponding to the user identity information in the neural network model; b3. and converting the control model into a control signal and transmitting the control signal to the Internet television to finish the use and the setting. The control system can enable the intelligent door lock and the Internet television to realize intelligent interconnection through a self-learning method, so that the convenience and the comfort of use of a user are greatly improved, and the intelligent control experience of the user is enhanced.

Description

Internet television intelligent control method and system based on self-learning technology
Technical Field
The invention relates to the field of intelligent home furnishing, in particular to an internet television intelligent control method and system based on a self-learning technology.
Background
Since 2010, "intelligence" has begun to outweigh the world wide color electronics industry. To date, smart televisions are well developed. Foreign languages such as Smart TV, Google TV, Android TV, Yahoo TV, Connected TV, etc.; the national unification is called as 'smart television' or 'internet television'.
Internet tv is compared with traditional tv, and internet tv is more powerful, and control and use mode are more diversified and complicated than traditional tv. In the prior art, the internet television is mainly operated by remotely controlling the internet television and an APP sending instruction fixed on a mobile terminal, a user needs to manually turn on or turn off the television when using the television at each time, and all volume and environment settings need to be manually set by the user according to the use habit of the user, so that the existing internet television achieves intelligentization in hardware and functions, but the feeling of the user in control and use is inconvenient and comfortable.
Disclosure of Invention
In view of the above defects, the present invention aims to provide an internet television intelligent control method based on a self-learning technology and a control system using the same.
In order to achieve the purpose, the invention adopts the following technical scheme:
the intelligent control method of the internet television based on the self-learning technology comprises the following steps:
a. self-learning step: a1. the control terminal collects and identifies user identity information in real time; a2. collecting environmental information and time information; a3. and establishing a control model for users with different user identity information according to the environment information and the time information, and storing the control model into the neural network control model.
b. The Internet television intelligent control step: b1. the intelligent door lock collects and identifies user identity information, the environment detection device detects and identifies environment information, and the time detection device collects time information; b2. when the intelligent information identification processing device identifies and matches corresponding user identity information, the neuron network model receives the user identity information, the environment information and the time information, and identifies and matches a control model corresponding to the user identity information in the calling neuron network model; b3. the output processing device receives the control model, converts the control model into a control signal and transmits the control signal to the Internet television to complete the opening of the Internet television and the setting or closing of the use information.
Preferably, the step b3 includes the following steps: when the television detection device detects that the user operates the Internet television, the Internet television can complete corresponding operation in cooperation with the user, the neural network control model completes a new self-learning step according to the steps a1-a3, and a new control model is updated or established and stored in the neural network control model.
Preferably, the step b2 includes the following steps: and when the identity information of the user is not matched in the identification, the user is a new user, and the neuron network model identifies, matches and calls the control model corresponding to the identity information of any user in the neuron network model according to the environment information and the time information.
Preferably, the step b2 further includes the following steps: when the television detection device detects that a new user operates the Internet television, the Internet television is matched with the user to finish corresponding operation, the neural network control model finishes a new self-learning step according to the step a1-a3, establishes a new control model for the new user, stores the new control model into the neural network control model, and matches corresponding user identity information for the control model.
Preferably, the user identity information includes: fingerprint information, audio information, facial image information, user name, and user priority level.
Preferably, the environment information includes: television volume information, television image setting information, television input source information, and ambient lighting information.
Preferably, the time information includes: the system comprises a time node for controlling the internet television by a user, the watching maintaining time of each channel of the internet television and the natural time.
The control system applying the intelligent control method of the internet television based on the self-learning technology comprises an input detection system, an intelligent information identification processing device and the internet television which are sequentially connected to realize communication; the input detection system includes: the system comprises an intelligent door lock, a television detection device, an illumination detector and a time detector; the intelligent door lock is used for acquiring user identity information and realizing an access control function for a user; the television detection device is used for acquiring channel program information, television volume information, television image setting information and television input source information when the Internet television is used; the illumination detector is used for collecting environmental illumination information; a time detector for collecting time information; the intelligent information identification processing device comprises: the device comprises an identification module, a matching processing module and a storage module; the identification module is used for receiving and identifying user identity information, environment information and time information; the matching identification module is used for matching the user identity, calling the control model, updating the control model and establishing the control model; the storage module is used for storing the control model; and the output processing device is used for receiving the control model and converting the control model into a control signal to be transmitted to the Internet television to complete the opening of the Internet television and the setting or closing of the use information.
Preferably, the intelligent door lock is connected with the self-learning intelligent control system by adopting a Zigbee communication protocol.
Preferably, the intelligent door lock further comprises: the device comprises a wifi module, a Bluetooth module, a fingerprint identification module, an image identification module, an audio identification module and a keyboard input module.
The invention provides an internet television intelligent control method based on a self-learning technology and a control system applying the same; the control system can record the user identity by utilizing the intelligent door lock through a self-learning method, and then establishes a control model for the Internet television according to the environment information and the time information, after the intelligent door lock identifies the corresponding user identity information again, the intelligent information identification processing device can automatically match and debug the control model in the neural network control model according to the current environment information and the time information, and when the user carries out daily operation on the intelligent door lock, the control system can quickly complete the personalized control on the Internet television, so that the intelligent door lock and the Internet television realize intelligent interconnection, the convenience and comfort of the user can be greatly improved, and the experience of the user can be enhanced.
Drawings
FIG. 1 is a flow chart of an Internet intelligent control method based on self-learning technology in one embodiment of the invention;
FIG. 2 is a block diagram of a neural network control model according to an embodiment of the present invention;
fig. 3 is a schematic diagram of the framework of the control system according to an embodiment of the present invention.
Detailed Description
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
As shown in fig. 1 and 2, the internet television intelligent control method based on the self-learning technology comprises the following steps:
a. self-learning step: a1. the control terminal collects and identifies user identity information in real time; a2. collecting environmental information and time information; a3. establishing a control model for users with different user identity information according to the environment information and the time information, and storing the control model into a neural network control model;
b. the Internet television intelligent control step: b1. the intelligent door lock collects and identifies user identity information, the environment detection device detects and identifies environment information, and the time detection device collects time information; b2. when the intelligent information identification processing device identifies and matches corresponding user identity information, the neuron network model receives the user identity information, the environment information and the time information, and identifies and matches a control model corresponding to the user identity information in the calling neuron network model; b3. the output processing device receives the control model, converts the control model into a control signal and transmits the control signal to the Internet television to complete the opening of the Internet television and the setting or closing of the use information.
The step b3 includes the following steps: when the television detection device detects that the user operates the Internet television, the Internet television can complete corresponding operation in cooperation with the user, the neural network control model completes a new self-learning step according to the steps a1-a3, and a new control model is updated or established and stored in the neural network control model. Although some users establish and store the control model through self-learning in the control process of using the Internet television after using the intelligent door lock, the corresponding control model can be directly called to quickly complete the personalized setting of the Internet television when the users are identified again; however, in a few cases, the same user is in the same time point in the same environment, because personal preferences change personal mood changes and program content changes, the use setting of the internet television can be adjusted to further meet the comfort of the user, the step better considers the possible situation, further performs deep learning according to the temporary operation of the user, establishes more control models, perfects the higher matching degree of the intelligent operation between the intelligent door lock and the internet television, and further improves the use comfort of the user.
The step b2 includes the following steps: and when the identity information of the user is not matched in the identification, the user is a new user, and the neuron network model identifies, matches and calls the control model corresponding to the identity information of any user in the neuron network model according to the environment information and the time information. When a new user who does not perform self-learning in advance and establish a control model operates the intelligent door lock, the new user can also be associated with the Internet television, and the quick and convenient personalized operation of the specified control model is provided in time; certainly according to the user setting needs, when new user operation intelligent door lock gets into when indoor, can correspond to transfer and store in advance be used for the control model that the warning was reminded in the neural network control model, like this when new user gets into indoor, the internet TV can switch to warning immediately and remind the scene, can guarantee family safety to a certain extent.
The step b2 further includes the following steps: when the television detection device detects that a new user operates the Internet television, the Internet television is matched with the user to finish corresponding operation, the neural network control model finishes a new self-learning step according to the step a1-a3, establishes a new control model for the new user, stores the new control model into the neural network control model, and matches corresponding user identity information for the control model. The step considers the actual use condition of the new user, and the new user does not establish a control model in advance even if the new user does not carry out the prior self-learning step, because the neural network control model can not match and call a proper control model to control the Internet television according to the new user identity information; therefore, after the neuron network model receives the environment information and the time information in the step, if the neuron network model does not match with the user information, the neuron network model randomly calls any user control model according to the environment information and the time information to adjust the use of the Internet television; and more preferably, when the control models of other users are applied, if a new user adjusts the internet television according to the use requirement of the new user, the intelligent information identification processing device immediately completes the self-learning step for the operation information of the new user and establishes the control model for the operation information of the new user, so that better data storage is provided for the follow-up use control of the new user.
The user identity information includes: fingerprint information, audio information, facial image information, user name, and user priority level. When a plurality of users exist in the neural network control model, the control terminal can comprehensively collect a plurality of user information and identify the information input by the users and the user priority levels, fingerprint information, audio information, facial image information and name information in the user input information are all used for identifying the user identities, then the corresponding control model is found according to the user names, the environment information and the time information, and finally the control model corresponding to the user with the highest level is preferentially called according to the user priority levels to control the window curtain opening, so that the control operation conflict among the users is avoided.
The environment information includes: television volume information, television image setting information, television input source information, and ambient lighting information. The main factors influencing the comfort level of the user using the internet television indoors are the volume, image setting, input source selection and ambient illumination of the television, so that the use condition of the internet television is comprehensively processed and controlled by combining channel program information, television volume information, television image setting information, television input source information and ambient illumination information, and the comfort level of the user using the internet television can be more comprehensively improved.
The time information includes: the system comprises a time node for controlling the internet television by a user, the watching maintaining time of each channel of the internet television and the natural time. The listed time information can obviously affect the comfort level of the user when the user uses the internet television, so that the time information in the aspects needs to be considered comprehensively to ensure the use comfort level of the user in the whole process of controlling the opening degree of the curtain.
As shown in fig. 3, the control system applying the intelligent internet television control method based on the self-learning technology includes an input detection system, an intelligent information identification processing device and an internet television, which are sequentially connected to realize communication; the input detection system includes: the system comprises an intelligent door lock, a television detection device, an illumination detector and a time detector; the intelligent door lock is used for acquiring user identity information and realizing an access control function for a user; the television detection device is used for acquiring channel program information, television volume information, television image setting information and television input source information when the Internet television is used; the illumination detector is used for collecting environmental illumination information; a time detector for collecting time information; the intelligent information identification processing device comprises: the device comprises an identification module, a matching processing module and a storage module; the identification module is used for receiving and identifying user identity information, environment information and time information; the matching identification module is used for matching the user identity, calling the control model, updating the control model and establishing the control model; the storage module is used for storing the control model; and the output processing device is used for receiving the control model and converting the control model into a control signal to be transmitted to the Internet television to complete the opening of the Internet television and the setting or closing of the use information. As shown in fig. 3, the time information can be extracted from the intelligent door lock, the internet television and the television detection device, so that the setting structure of the control system can be further greatly simplified, and the cost is saved.
The intelligent door lock is connected with the self-learning intelligent control system by adopting a Zigbee communication protocol. The ZigBee communication protocol is a wireless network protocol for low-speed short-distance transmission, and has the advantages of low speed, low power consumption, low cost, support of a large number of network nodes, support of various network topologies, low complexity, rapidness, reliability and safety; the intelligent door lock has the advantages that the user operation is simpler and more convenient, the energy consumption of control is low, the daily access control function of the intelligent door lock cannot be greatly influenced, and the basic safety of a family is guaranteed, so that the home comfort of the user is improved.
The intelligence lock still includes: the device comprises a wifi module, a Bluetooth module, a fingerprint identification module, an image identification module, an audio identification module and a keyboard input module. The wifi module and the Bluetooth module can realize interconnection of the intelligent door lock and various intelligent electronic devices including a mobile phone, intelligent wearable equipment and daily electric appliances; the control system has wider interconnection range, more modes for collecting the user identity information and more diversified and convenient control of the user on the Internet television; the fingerprint identification module can collect fingerprint information of a user, the image identification module can collect facial image information of the user, the audio identification module can collect audio information of the user, and the keyboard input module can provide user name input and user priority level setting for a client; the control system can further diversify the mode of collecting the user identity information, and the application range is wider.
The invention provides an internet television intelligent control method based on a self-learning technology and a control system applying the same; the control system can record the user identity by utilizing the intelligent door lock through a self-learning method, and then establishes a control model for the Internet television according to the environment information and the time information, after the intelligent door lock identifies the corresponding user identity information again, the intelligent information identification processing device can automatically match and debug the control model in the neural network control model according to the current environment information and the time information, and when the user carries out daily operation on the intelligent door lock, the control system can quickly complete the personalized control on the Internet television, so that the intelligent door lock and the Internet television realize intelligent interconnection, the convenience and comfort of the user can be greatly improved, and the experience of the user can be enhanced.
The technical principle of the present invention is described above in connection with specific embodiments. The description is made for the purpose of illustrating the principles of the invention and should not be construed in any way as limiting the scope of the invention. Based on the explanations herein, those skilled in the art will be able to conceive of other embodiments of the present invention without inventive effort, which would fall within the scope of the present invention.

Claims (4)

1. The intelligent control method of the internet television based on the self-learning technology is characterized by comprising the following steps:
a. self-learning step:
a1. the control terminal collects and identifies user identity information in real time;
a2. collecting environmental information and time information;
a3. establishing a control model for users with different user identity information according to the environment information and the time information, and storing the control model into a neural network control model;
b. the Internet television intelligent control step:
b1. the intelligent door lock collects and identifies user identity information, the environment detection device detects and identifies environment information, and the time detection device collects time information;
b2. when the intelligent information identification processing device identifies and matches corresponding user identity information, the neuron network model receives the user identity information, the environment information and the time information, and identifies and matches a control model corresponding to the user identity information in the calling neuron network model;
b3. the output processing device receives the control model, converts the control model into a control signal and transmits the control signal to the Internet television to complete the opening of the Internet television and the setting or closing of the use information;
the step b2 includes the following steps: when the identity information of the user is identified and not matched, the user is a new user, the neuron network model identifies, matches and calls a control model for alarm reminding in the neuron network model according to the environment information and the time information, and the Internet television is switched to an alarm reminding scene;
The step b2 further includes the following steps: when the television detection device detects that a new user operates the Internet television, the Internet television is matched with the user to finish corresponding operation, the neural network control model finishes a new self-learning step according to the step a1-a3, establishes a new control model for the new user, stores the new control model into the neural network control model, and matches corresponding user identity information for the control model;
the step b3 comprises the following steps: when the television detection device detects that the user operates the Internet television, the Internet television can complete corresponding operation in cooperation with the user, the neural network control model completes a new self-learning step according to the steps a1-a3, and updates or establishes a new control model to be stored in the neural network control model;
the user identity information includes: fingerprint information, audio information, facial image information, user name, and user priority level;
the environment information includes: television volume information, television image setting information, television input source information and ambient lighting information;
the time information includes: the system comprises a time node for controlling the internet television by a user, the watching maintaining time of each channel of the internet television and the natural time.
2. The control system of the intelligent control method of the internet television based on the self-learning technology as claimed in claim 1, which comprises an input detection system, an intelligent information recognition processing device and the internet television which are sequentially connected for communication;
the input detection system includes: the system comprises an intelligent door lock, a television detection device, an illumination detector and a time detector; the intelligent door lock is used for acquiring user identity information and realizing an access control function for a user; the television detection device is used for acquiring channel program information, television volume information, television image setting information and television input source information when the Internet television is used; the illumination detector is used for collecting environmental illumination information; a time detector for collecting time information;
the intelligent information identification processing device comprises: the device comprises an identification module, a matching processing module, a storage module and an output processing device; the identification module is used for receiving and identifying user identity information, environment information and time information; the matching identification module is used for matching the user identity, calling the control model, updating the control model and establishing the control model; the storage module is used for storing the control model; and the output processing device is used for receiving the control model and converting the control model into a control signal to be transmitted to the Internet television to complete the opening of the Internet television and the setting or closing of the use information.
3. The control system of claim 2, wherein the intelligent door lock is coupled to the self-learning intelligent control system using a Zigbee communication protocol.
4. The control system of claim 2, wherein the smart door lock further comprises: the device comprises a wifi module, a Bluetooth module, a fingerprint identification module, an image identification module, an audio identification module and a keyboard input module.
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