WO2019184300A1 - 一种ai控制件、智能家居控制系统及控制方法 - Google Patents

一种ai控制件、智能家居控制系统及控制方法 Download PDF

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Publication number
WO2019184300A1
WO2019184300A1 PCT/CN2018/109881 CN2018109881W WO2019184300A1 WO 2019184300 A1 WO2019184300 A1 WO 2019184300A1 CN 2018109881 W CN2018109881 W CN 2018109881W WO 2019184300 A1 WO2019184300 A1 WO 2019184300A1
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WIPO (PCT)
Prior art keywords
control
module
smart device
home
voice
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PCT/CN2018/109881
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English (en)
French (fr)
Inventor
许锟
梁金魁
江�润
柳学峰
Original Assignee
深圳创维－Rgb电子有限公司
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Publication of WO2019184300A1 publication Critical patent/WO2019184300A1/zh

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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
    • 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
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • 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
    • 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

Definitions

  • the present disclosure relates to the field of smart home technology, for example, to an AI control, a smart home control system, and a control method.
  • Artificial intelligence is the production of a new kind of intelligent machine that can respond in a similar way to human intelligence.
  • the research fields of artificial intelligence include: speech recognition, image equipment, natural speech processing and expert systems, and because of its The simulation of the consciousness and thinking information process, the use of artificial intelligence devices can be more convenient for users to live, so the research of artificial intelligence devices has become more and more important.
  • the purpose of the present disclosure is to provide an AI control component, a smart home control system, and a control method for the user, which overcomes the defect that the home smart device does not have artificial intelligence in the prior art.
  • a first embodiment of the present disclosure is an AI control device for performing AI control on a smart device connected thereto, the AI control member including:
  • the main board is provided with a main control module, a communication module and an interface module;
  • the communication module and the interface module both establish a connection with the main control module
  • the main control module is configured to output a control signal to the smart device connected thereto according to the received control command, receive and process the detection signal input by the interface module, and output a corresponding control signal according to the processing result, and
  • the communication module performs data exchange;
  • the communication module is configured to establish a communication connection with the smart device connected thereto;
  • the interface module includes at least one connection interface, configured to establish a connection with another smart device, and receive a detection signal transmitted by the connected smart device, and forward the smart device connected to the output of the main control module. Control signal of the device.
  • it also includes:
  • the main board is further provided with a voice module, and the control board is provided with a touch module;
  • the voice module is configured to receive a voice command sent by a user, and transmit the received voice command to the main control module;
  • the touch module is configured to receive a touch signal sent by a user, and transmit the received touch command to the main control module.
  • control panel is further configured with: a sensing module, a power amplifier module, and a light effect module connected to the main control module;
  • the sensing module includes at least one acoustic sensor array, at least one temperature sensor, a humidity sensor, and a sensing processing chip, configured to receive environmental state information, and transmit the collected environmental state information to the main control module;
  • the main control module is further configured to receive the environmental state information transmitted by the sensing module, process the environmental state information, and output a corresponding control signal according to the processing result;
  • the power amplifier module includes a sound amplifier integrated block for amplifying the voice signal outputted in the voice module;
  • the light effect module is composed of an LED driving IC and at least one LED, and is configured to receive a driving signal sent by the main control module to perform opening and closing of the LED.
  • the motherboard is further provided with a power module;
  • the control panel is further provided with a wireless charging module;
  • a power module connected to the main control module for providing power to other functional modules in the AI control component
  • the wireless charging module is connected to the power module, and includes: a charging control chip, a charging coil and a peripheral circuit thereof for charging the power module by means of wireless connection.
  • a second embodiment of the present disclosure is a smart home control system, including: at least one home smart device and an AI control that establishes a connection with at least one home smart device;
  • the AI control component receives a control instruction issued by a user for the home smart device, and transmits the control command to the main control module;
  • the main control module converts the control command into a control signal recognizable by the home smart device corresponding to the control command, and transmits the control signal to the home smart device;
  • the home smart device receives a control signal and performs a corresponding control operation.
  • the AI control component further includes a voice module disposed on the motherboard and a touch module disposed on the control panel inside the casing;
  • the AI control component receives a control command issued by the user through the mobile terminal with which the communication connection is established;
  • the AI control receives a control command issued by the user through any one of the home smart devices with which the communication connection is established.
  • connection manner of the AI control component that the at least one of the home smart devices establishes a connection includes:
  • At least one of the AI controls is installed inside the at least one home smart device, or the AI control establishes a wired connection with the at least one home smart device through the interface module, or the AI control passes the communication module with the at least one The home smart device establishes a wireless communication connection.
  • the method further includes a cloud server that establishes a communication connection with the AI control component;
  • the main control module is further configured to compare the voice command received from the voice module with the data information stored in the cloud server by the communication module, and identify the voice information included in the voice command; or, The voice command received in the voice module is transmitted to the cloud server, and receives voice information included in the voice command fed back by the cloud server;
  • the main control module is further configured to compare the environmental state information received from the sensing module with the data information stored in the cloud server, and output corresponding control according to the comparison result. signal.
  • the AI control detects and acquires device attributes of the home smart device with which the connection is established, assigns a unique identifier to each detected home smart device, and associates the device attribute and its corresponding unique identifier.
  • the symbol is saved in the local or cloud server.
  • the main control module is further configured to: acquire, according to the identified control instruction, a plurality of historical operation information corresponding to the control instruction from the cloud server, and match the number of operations from the plurality of historical operation information. The most operation information, and sends a control signal corresponding to the most frequently operated operation information to the home smart device, and stores the current operation information.
  • a third embodiment of the present disclosure is a control method of a smart home control system, which includes the following steps:
  • the main control module converts the control command into a control signal recognizable by the home smart device corresponding to the control command, and transmits the control signal to the home smart device;
  • the home smart device receives a control signal and performs a corresponding control operation.
  • the step of receiving, by the AI control component, a control command sent by the user to the home smart device includes:
  • the AI control component receives a control instruction issued by the user for the home smart device through a voice module disposed on the main board;
  • the AI control component receives a user issuing a control command through a touch module disposed on a control panel inside the housing;
  • the AI control component receives a control command issued by the user through the mobile terminal with which the communication connection is established;
  • the AI control receives a control command issued by the user through any one of the home smart devices with which the communication connection is established.
  • the step of establishing a connection between the at least one home smart device and the AI control component includes:
  • the AI control component establishes a wired connection with the at least one home smart device through the interface module;
  • the AI control establishes a wireless communication connection with the at least one home smart device through the communication module.
  • the step of the main control module converting the control command into a control signal recognizable by the home smart device corresponding to the control command further includes:
  • the voice command received by the main control module from the voice module is compared with the data information stored in the cloud server, and the voice information included in the voice command is recognized;
  • the main control module compares the environmental state information received from the sensing module with the data information stored in the cloud server, and outputs a corresponding control signal according to the comparison result.
  • the step of the main control module converting the control command into a control signal recognizable by the home smart device corresponding to the control command further includes:
  • the main control module acquires a plurality of historical operation information corresponding to the control instruction from the cloud server according to the identified control command, and matches the operation information with the most operation times from the plurality of historical operation information, and issues and The control signal corresponding to the operation information with the highest number of times is sent to the home smart device, and the current operation information is stored.
  • the utility model provides an AI control component, a smart home control system and a control method, which are connected by a non-artificial smart household appliance such as a television, a speaker, an air conditioner, a refrigerator, etc. through an implant or a communication, and are connected with a cloud database for data. Compare and exchange, giving these devices home AI functionality through complex calculations and deep learning.
  • the user sends instructions to any smart home control system to the smart home control system established by the present disclosure through voice, mobile APP, etc., indirectly controls the use and management of these devices, improves the efficiency of user operation, and provides convenience for the user, thereby making the user Family life is more convenient, smarter and more scientific.
  • FIG. 1 is a perspective view of an AI control member in an embodiment provided by the present disclosure
  • FIG. 2 is a bottom view of an AI control member in an embodiment provided by the present disclosure
  • FIG. 3 is an exploded perspective view of an AI control member in an embodiment provided by the present disclosure.
  • FIG. 5 is a schematic diagram of each pin in a pin module in the circuit diagram in the first embodiment of the present disclosure
  • FIG. 6 is a schematic structural diagram of each functional module in the first embodiment of the AI control device according to the present disclosure.
  • FIG. 7 is a flow chart showing the steps of voice recognition in the voice module in the first embodiment of the present disclosure.
  • FIG. 8 is a schematic structural diagram of a specific embodiment of a smart home control system according to a second embodiment of the present disclosure.
  • FIG. 9 is a flow chart of a self-learning step of the control system of the present disclosure.
  • FIG. 10 is a flow chart showing the steps of a specific embodiment of the control method according to the third embodiment of the present disclosure.
  • FIG. 11 is a flow chart showing the steps of a first preferred embodiment of the control method of the present disclosure.
  • FIG. 13 is a flow chart showing the steps of a third example of a specific application of the control method of the present disclosure.
  • FIG. 14 is a flow chart showing the steps of a fourth example of a specific application of the control method of the present disclosure.
  • This embodiment discloses an auxiliary AI control component for implementing a home appliance, and the artificial intelligence of the home appliance is realized by establishing a connection between the home appliance and the AI control component.
  • the first embodiment of the present disclosure is an AI control component, and the AI control component of the present disclosure is used for performing AI control on a smart device connected thereto, as shown in FIG. 1 to FIG.
  • the control unit 01 includes: a main board 014;
  • the main board 014 is provided with a main control module 10, a communication module 20 and an interface module 30;
  • the communication module 20 and the interface module 30 are both connected to the main control module 10;
  • the main control module 10 is configured to output a control signal to the smart device connected thereto according to the received control command, receive and process the detection signal input by the interface module 30, and output a corresponding control signal according to the processing result, and Data exchange with the communication module 20;
  • the communication module 20 is configured to establish a communication connection 20 with a smart device connected thereto;
  • the interface module 30 includes multiple connection interfaces for establishing a connection with other smart devices, and receiving detection signals transmitted by the connected smart devices, and forwarding the smart links connected to the output of the main control module. Control signal of the device.
  • the main control module 10 is responsible for centrally calculating and processing the signals transmitted by other functional modules. As shown in FIG. 4, it includes peripheral circuits such as a main chip, DDR, EMMC, RESET, and clock control circuit, wherein the main chip can be according to system requirements. Selecting different models and architectures, this disclosure uses the RK3229 as an example. It is a quad-core Cortex-A7 with a frequency up to 1.5 GHz. It can perform complex calculations on images and data, and has deep learning ability to meet the needs of home AI. The system needs it. The main control module 10 exchanges data with the communication module 20 through SDIO3.0, UART, and PCM signals, and finally controls the smart device connected thereto through the Control signal of the interface module.
  • peripheral circuits such as a main chip, DDR, EMMC, RESET, and clock control circuit, wherein the main chip can be according to system requirements. Selecting different models and architectures, this disclosure uses the RK3229 as an example. It is a quad-core Cortex-A7 with
  • the communication module 20 is responsible for communication with the system and external devices and the cloud, as shown in FIG. 4, which includes a WIFI module and a Bluetooth module, wherein the Bluetooth module is selected as needed. It realizes communication with the intelligent terminal accessing the wireless network, communication with the cloud, and communication with the mobile terminal through the wireless network built by the access router.
  • the interface module 30 includes, but is not limited to, a power supply interface, a grounding pin, a detection interface, a control signal interface, an IIS interface, etc., as shown in FIGS. 4 and 5.
  • the power supply interface is responsible for taking power to the power supply part of the implanted or connected smart device, and providing the power supply to the power module of the system;
  • the grounding interface is connected with the grounding leg of the smart device to ensure good grounding of the system and normal operation; It is responsible for detecting whether it is well connected with the implanted or connected home appliance; it is responsible for controlling the embedded smart device through the control signal interface.
  • control board 012 a control board 012
  • the main board is further provided with a voice module 30, and the control panel 012 is provided with a touch module 40;
  • the voice module 30 is configured to receive a voice command sent by a user, and transmit the received voice command to the main control module 10;
  • the touch module 40 is configured to receive a touch signal sent by a user, and transmit the received touch command to the main control module 10 .
  • the voice module 30 is responsible for collecting and processing the spatial characteristics of the sound field of the voice command sent by the user, and transmitting the signal to the master control module 10 by means of IIS.
  • the present disclosure is implemented in a manner that is an array of acoustic sensors (typically microphones), the manner of the array, and the number of acoustic sensors being selected according to system needs. Taking six acoustic sensor distributed arrays as an example, noise suppression, reverberation cancellation, echo cancellation, sound source direction finding, beamforming, array gain, and model matching can be achieved.
  • the voice module is used to identify a voice command sent by a user.
  • the communication module of the AI control component also establishes a connection with the cloud server, and the master control module passes the voice.
  • the voice information received in the module is compared and calculated with the cloud database to implement speech recognition.
  • the speech recognition process mainly includes steps of preprocessing, feature extraction and pattern matching of the speech signal, and the preprocessing includes pre-filtering, sampling and quantization, windowing, endpoint detection, pre-emphasis and the like.
  • the most important part of speech signal recognition is feature parameter extraction.
  • the extracted characteristic parameters must meet the following requirements: 1) The extracted characteristic parameters can effectively represent the speech features and have good distinguishability; (2) There is good independence between the parameters of each order; 3) The characteristic parameters are calculated. Convenient, it is best to have efficient algorithms to ensure real-time implementation of speech recognition.
  • a model is created for each term and saved as a template library. As a reference template.
  • the speech signal passes through the same channel to obtain the speech feature parameters, generates a test template, and matches the reference template in the template library, and uses the reference template with the highest matching score as the recognition result.
  • the accuracy of recognition can be improved with the help of a lot of prior knowledge (previously verified knowledge).
  • the touch module 50 includes a capacitive touch IC and a corresponding touch sensing button, and the number of buttons is selected according to system requirements, as shown in FIG. 4 .
  • the module generates a trigger signal according to the capacity change of the capacitance formed between the finger and the touch sensing button, and the touch IC processes the signals and transmits the signals to the main control module 10 through the IIC, and the main control module 10 performs calculation according to the signals. Processing and outputting corresponding control signals to the connected smart devices.
  • control board 012 further includes: a sensing module, a power amplifier module, and a light effect module connected to the main control module 10;
  • the sensing module 60 includes at least one acoustic sensor array, at least one temperature sensor, a humidity sensor and a sensing processing chip, for receiving environmental state information, and transmitting the collected environmental state information to the main control module 10;
  • the main control module 10 is further configured to receive the environmental state information transmitted by the sensing module, process the environmental state information, and output a corresponding control signal according to the processing result;
  • the power amplifier module 100 includes a sound amplifier integrated block for amplifying the voice signal outputted in the voice module;
  • the light effect module 80 is composed of an LED driving IC and at least one LED, and is configured to receive a driving signal sent by the main control module 10, and perform opening and closing of the LED.
  • the sensing module 60 includes a temperature sensor, a humidity sensor, and the like, and is selected according to system requirements. As shown in FIG. 4, the module realizes monitoring and transmitting temperature, humidity, etc. of the operating environment and surrounding environment of the connected smart device. The data is sent to the main control module 10, and the main control module 10 compares and processes the data with the cloud database.
  • the power amplifier module 100 is composed of a sound amplifier IC and a micro-horn, and is selected according to the needs of the system. As shown in FIG. 4, when the user issues a voice command or other operation to the system, the system will process the result or the issued command through the module with the sound. The way to notify the user.
  • the light effect module 80 is composed of an LED driving IC and an LED.
  • the number of driving channels of the IC and the number of LEDs are selected according to system requirements. As shown in FIG. 4, when the system receives an instruction to require a light effect indication, the main control module 10 passes the IIC. Give the LED driver IC, and then drive the LED to emit the light effect in advance, to achieve the intelligent prompt of the system, reflecting the sense of beauty and technology.
  • the motherboard 012 is further provided with a power module 70; the control panel 014 is further provided with a wireless charging module 90;
  • a power module 70 connected to the main control module 10, for providing power to other functional modules in the AI control component;
  • the wireless charging module 90 is connected to the power module 70 and includes a charging control chip, a charging coil and peripheral circuits thereof for charging the power module 70 by means of wireless connection.
  • the wireless charging module 90 is mainly a transmitting module, which is composed of a chip, a coil and other peripheral circuits. As shown in FIG. 4, the wireless charging function of the mobile phone is realized, and the extended application of the system is improved. Charging power, operating mode, support standards, number of coils, etc. are selected according to system requirements.
  • the main control module 10 controls the light effect module 80, the touch module 50, the sensing module 60, and the wireless charging module 90 through the IIC to exchange data with the voice module 40 through the IIS signal.
  • the housing 012 and the control board 014 are disposed in the housing 016.
  • the panel 016 is further disposed with a panel 011.
  • the control panel 014 and the edge of the motherboard 012 are also provided with a frame.
  • the base 016 is further provided with a base 018; the user can control the touch module by using a button on the panel, the frame is used for fixing the control board and the main board on the outer casing, and the base is used for realizing
  • the AI controls are easy to place.
  • the panel 011 is fixed above the control board 012, and a sound player 017 is further disposed between the base 018 and the housing 016.
  • the base 018 is further provided with a USB interface.
  • a speaker is arranged between the base and the outer casing for transmitting voice information, and a USB interface is also provided on the base for facilitating connection establishment. Charging and information transmission of the AI control unit through the USB cable.
  • the present disclosure provides an AI control component, including but not limited to the product form shown in FIG. 1 to FIG. 5, including but not limited to a panel, a control panel, a bezel, a main board, a battery, a casing, a speaker, a base, etc., as shown in FIG. Shown.
  • the panel cooperates with the frame to realize functions such as touch button, display, wireless charging, etc.
  • the button function silk screen is defined according to needs, such as switch, mute, volume addition and subtraction, etc.
  • the display effect requires the cooperation of the light effect module and the outer frame, and the specific effect is defined as needed.
  • the power-on light is on, the power-off light is off, the sleep green light is on, the power is not red, and the three-color light is alternately flashing;
  • the wireless charging function can directly charge the mobile phone and other devices through the panel.
  • the control board integrates hardware and software parts such as a touch module, a light effect module, a sensing module, and a wireless charging module;
  • the main board integrates hardware and software parts such as a main control module, a power module, a communication module, a power amplifier module, a voice module, and an interface module.
  • the battery provides power to the system without external charging.
  • the bottom of the base has an interface for the implantation and connection of the device.
  • a second embodiment of the present disclosure is a smart home control system, as shown in FIG. 8, comprising: at least one home smart device and an AI control connected to at least one home smart device; wherein the home smart device may be: an air conditioner , fridge, TV or stereo.
  • the AI control component receives a control instruction issued by a user for the home smart device, and transmits the control command to the main control module;
  • the main control module converts the control command into a control signal recognizable by the home smart device corresponding to the control command, and transmits the control signal to the home smart device;
  • the home smart device receives a control signal and performs a corresponding control operation.
  • the AI control component can receive the control command issued by the user for the home smart device, and the AI control component converts the control command received by the AI control component into the home smart device. After the identified control signal, the control signal is sent to the corresponding home smart device.
  • the AI control component further includes a voice module disposed on the motherboard and a touch module disposed on the control panel inside the casing;
  • the AI control component receives a control command issued by the user through the mobile terminal with which the communication connection is established;
  • the AI control receives a control command issued by the user through any one of the home smart devices with which the communication connection is established.
  • the user can issue a control instruction for the home smart device through the above four different methods:
  • the first type is through the touch module on the AI control, that is, the control command is output through the button.
  • the second method is to receive a voice control command through the voice module on the AI control component, that is, by issuing a voice to the AI control component, and the voice module on the AI control component recognizes the voice command sent by the user, thereby obtaining the control command. .
  • the third type is a mobile terminal connected to the AI control unit, for example, the smart phone forwards the control command issued by the user.
  • the user can install the mobile phone APP associated with the AI control component on the smart phone.
  • the mobile phone APP issues a control command to the home smart device to the AI control component, and after receiving the control command, the AI control component sends a control signal to the corresponding smart device.
  • the fourth is to issue control commands through any of the home smart devices connected to the AI control.
  • the home smart device forwards the control command received by the home smart device to the AI control component, and the control command received by the AI control component analyzes, identifies the corresponding home smart device, and sends a corresponding control signal to the corresponding home smart device.
  • the air conditioner control command can be issued to the voice module of the refrigerator, and the refrigerator can forward the voice information received by the refrigerator to the AI control unit, and the AI control unit controls the air conditioner to perform corresponding Control operation.
  • the system may include a plurality of home smart devices and one or more AI controls
  • the manner in which the plurality of home smart devices are connected to the AI control device includes the following:
  • At least one of the AI controls is installed inside at least one home smart device, that is, each of the home smart devices may have the AI control device installed therein, between each AI control device.
  • a communication connection is also established, and an AI control component can also be installed inside one of the home smart devices, and the home smart device can realize the artificial intelligence of each home smart device by forwarding the control command received by the home smart device to the AI control device.
  • information transfer between multiple home smart devices is also possible.
  • the AI control establishes a wired connection with at least one home smart device through the interface module. That is, one AI control unit establishes a wired connection with a plurality of home smart devices through the interface module, or a plurality of AI control members establish a wired connection with the plurality of home smart devices through the interface module.
  • the AI control unit establishes a wireless communication connection with the at least one home smart device through a communication module.
  • a cloud server that establishes a communication connection with the AI control component is also included;
  • the main control module is further configured to compare the voice command received from the voice module with the data information stored in the cloud server by the communication module, and identify the voice information included in the voice command; or, The voice command received in the voice module is transmitted to the cloud server, and receives the voice information contained in the voice command fed back by the cloud server.
  • the first type is: the main control module can establish a communication connection with the cloud server through the communication module, and obtain corresponding data information from the database in the cloud server, thereby identifying the voice instruction.
  • the information contained in the second control module can also transmit the received voice command to the cloud server through the communication module, and the cloud server performs the comparison and calculation of the database information, thereby identifying the voice command.
  • the main control module is further configured to compare the environmental state information received from the sensing module with the data information stored in the cloud server, and output a corresponding control signal according to the comparison result.
  • the AI control detects and acquires the device attribute of the home smart device with which the connection is established, and assigns a unique identifier to each detected home smart device. And save the device attribute and its corresponding unique identifier in a local or cloud server.
  • An identifiable control signal is identified based on the device attribute, and an accurate control signal transfer is achieved based on the unique identifier assigned thereto.
  • the main control module is further configured to: acquire, according to the identified control instruction, a plurality of historical operation information corresponding to the control instruction from the cloud server, and match the number of operations from the plurality of historical operation information. The most operation information, and sends a control signal corresponding to the most frequently operated operation information to the home smart device, and stores the current operation information.
  • the system also has a self-learning process.
  • the self-learning process includes the following steps:
  • Step H1 The AI control component is implanted into the home smart device through the interface module, or the connection between the AI control component and the home smart device is established through the communication module.
  • Step H2 Check device attributes of the smart device connected thereto, such as a TV or a refrigerator, a washing machine, an air conditioner, etc., and store data corresponding to attributes of the device in a local and cloud database, and generate corresponding flag bits to facilitate Subsequent lookups and calls.
  • a TV or a refrigerator such as a TV or a refrigerator, a washing machine, an air conditioner, etc.
  • Step H2 Check device attributes of the smart device connected thereto, such as a TV or a refrigerator, a washing machine, an air conditioner, etc.
  • step H3 it is determined whether the system enters a sleep state, and if yes, step H5 is performed.
  • the current state of charge of the system it is determined whether the current system enters a sleep state. If the system enters the sleep state, the power supply enters the standby state. At this time, the power consumption is the lowest, and the long light is red.
  • step H4 it is determined whether a wake-up command is received, and if yes, step H5 is performed, then step H5 is performed, otherwise, step H3 is returned.
  • step H5 the main control module processes the control instruction.
  • the control of the system provides two ways to directly control the voice command and mobile APP of the system.
  • the voice wake-up mode is, for example, "small dimension, please boot. "Wait.
  • the system power supply After waking up, the system power supply enters the normal state, and then continues to receive external commands and calculate and process the instructions through the communication module and the voice module.
  • the execution of the instructions needs to be combined with the data call and comparison with the cloud to facilitate appropriate actions, such as For the "turn on the TV, watch the hottest TV series" command, the system will directly turn on the TV and automatically adjust the frequency to the TV drama channel, go to the cloud database to select the program with the highest heat, and set the brightness, contrast, according to the previous user preferences.
  • the system will detect and classify the existing ingredients and status in the refrigerator, according to the principles of the user's dietary preferences and nutritional balance, based on the existing ingredients and The state is used to make recipes, which are finally provided by voice or on-screen display.
  • Step H6 performing a deep learning operation.
  • the system After executing the instruction, the system will store the data to the cloud database for the execution process and compare it with the previous data, so as to optimize the previous data structure and achieve the deep learning ability, and make the most appropriate operation for the next similar instruction.
  • pre-judgment ability for example, the user will be reminded in time to have his favorite TV series, reminding the food in the refrigerator to expire soon, and automatically setting the air conditioner to a suitable temperature.
  • Step H7 After the deep learning of the system is completed, the user is prompted whether to evolve. If the user agrees, step H8 is performed, and if it does not agree, it does not evolve.
  • step H8 the system will automatically upgrade, and finally the system will enter the sleep state again.
  • a third embodiment of the present disclosure is a control method of a smart home control system, which includes the following steps:
  • Step S101 Establish a connection between at least one home smart device and an AI control.
  • Step S102 The AI control unit receives a control instruction sent by the user to the home smart device, and transmits the control command to the main control module.
  • Step S103 The main control module converts the control command into a control signal recognizable by the home smart device corresponding to the control command, and transmits the control signal to the home smart device.
  • Step S104 The home smart device receives a control signal and performs a corresponding control operation.
  • the step of receiving, by the AI control component, a control command sent by the user to the home smart device includes:
  • the AI control component receives a control instruction issued by the user for the home smart device through a voice module disposed on the main board;
  • the AI control component receives a user issuing a control command through a touch module disposed on a control panel inside the housing;
  • the AI control component receives a control command issued by the user through the mobile terminal with which the communication connection is established;
  • the AI control receives a control command issued by the user through any one of the home smart devices with which the communication connection is established.
  • the step of establishing a connection between the at least one home smart device and the AI control component includes:
  • the AI control component establishes a wired connection with the at least one home smart device through the interface module;
  • the AI control establishes a wireless communication connection with the at least one home smart device through the communication module.
  • the step of the main control module converting the control command into a control signal recognizable by the home smart device corresponding to the control command further includes:
  • the voice command received by the main control module from the voice module is compared with the data information stored in the cloud server, and the voice information included in the voice command is recognized;
  • the main control module compares the environmental state information received from the sensing module with the data information stored in the cloud server, and outputs a corresponding control signal according to the comparison result.
  • the step of the main control module converting the control command into a control signal recognizable by the home smart device corresponding to the control command further includes:
  • the main control module acquires a plurality of historical operation information corresponding to the control instruction from the cloud server according to the identified control command, and matches the operation information with the most operation times from the plurality of historical operation information, and issues and The control signal corresponding to the operation information with the highest number of times is sent to the home smart device, and the current operation information is stored.
  • the control method of the first embodiment includes the following steps:
  • Step S1101 At least one home smart device establishes communication with the same AI control component through its built-in wireless module, and the AI control component identifies the device attribute of the connected home smart device and stores it.
  • Step S1102 The user issues a voice instruction to the AI control component
  • Step S1103 The AI control component receives the voice command, identifies the voice command, and combines the stored historical operation information to analyze an optimal setting corresponding to the current command, and converts the recognized voice command into a corresponding command.
  • the optimally set control signal that the home smart device can recognize and communicate the control signal to the home smart device.
  • Step S1104 The home smart device receives the control signal through the wireless module, and performs a corresponding control operation.
  • Step S1105 The execution operation of the current control instruction is saved to the cloud server and the local for self-learning of the next execution of the control instruction.
  • the control method of the second embodiment includes the following steps:
  • Step S1201 A plurality of home smart devices respectively establish communication with an AI control component installed therein, and each AI control component identifies device attributes of the plurality of home smart devices, and stores them.
  • Step S1202 The user issues a voice instruction to one of the AI control members
  • Step S1203 The AI control component that receives the user control instruction receives the voice command, identifies the voice command, and converts the recognized voice command into a control signal that can be recognized by the corresponding home smart device, and The control signal is passed to the home smart device.
  • Step S1204 The home smart device receives the control signal through the wireless module, and performs a corresponding control operation.
  • Step S1205 The execution operation of the current control instruction is saved to the cloud server and the local for self-learning of the next execution of the control instruction.
  • the control method of the third embodiment includes the following steps:
  • Step S1301 The plurality of home smart devices respectively establish communication connections with the plurality of AI control components through the external USB, and each AI control component identifies device attributes of the plurality of home smart devices, and stores them.
  • Step S1302 The user issues a voice instruction to one of the AI controls;
  • Step S1303 The AI control component that receives the user control instruction receives the voice command, identifies the voice command, and converts the recognized voice command into a control signal that can be recognized by the corresponding home smart device, and The control signal is passed to the home smart device.
  • Step S1304 The home smart device receives the control signal through the wireless module, and performs a corresponding control operation.
  • Step S1305 The execution operation of the current control instruction is saved to the cloud server and the local for self-learning of the next execution of the control instruction.
  • the control method of the fourth embodiment includes the following steps:
  • Step S1401 A plurality of home smart devices respectively establish communication connections with a plurality of AI control components through an external USB, and each AI control component identifies device attributes of the plurality of home smart devices and stores them.
  • Step S1402 The user issues a voice instruction to one of the home smart devices
  • Step S1403 The home smart device receiving the user control instruction receives the voice instruction, and forwards the home smart device to the AI controller.
  • Step S1404 The AI controller receives the voice command through the interface module, identifies the voice command, and converts the recognized voice command into a control signal that can be recognized by the corresponding home smart device, and transmits the control signal. Give the home smart device.
  • Step S1405 The home smart device receives the control signal through the wireless module, and performs a corresponding control operation.
  • Step S1406 The execution operation of the current control instruction is saved to the cloud server and the local for self-learning of the next execution of the control instruction.
  • the present disclosure provides an AI control component, a smart home control system, and a control method, wherein a home AI auxiliary system is connected to a non-smart electrical device such as a television, a speaker, an air conditioner, etc., so that the appliances become AI.
  • a home AI auxiliary system is connected to a non-smart electrical device such as a television, a speaker, an air conditioner, etc., so that the appliances become AI.
  • a non-smart electrical device such as a television, a speaker, an air conditioner, etc.
  • the present disclosure provides an AI control component, a smart home control system, and a control method for performing AI control on a smart device connected thereto, the AI control component including: a casing and a motherboard located inside the casing
  • the main board is provided with a main control module, a communication module and an interface module; the communication module and the interface module are connected with the main control module; the main control module is configured to output according to the received control instruction Simultaneously receiving and processing a detection signal input by the interface module to a control signal of the smart device connected thereto, outputting a corresponding control signal according to the processing result, and performing data exchange with the communication module;
  • the communication module is configured to be used
  • the connected smart device establishes a communication connection;
  • the interface module includes a plurality of connection interfaces for establishing a connection with other smart devices, and receiving a detection signal transmitted by the connected smart device, and forwarding the output of the main control module The control signal to the smart device connected to it.
  • the control system and the control method are connected or non-artificial smart household appliances such as televisions, speakers, air conditioners, refrigerators, etc., and are connected with the cloud database for data comparison and exchange, and are given to these devices through complex calculation and deep learning.
  • Home AI features The user sends instructions to any smart home control system to the smart home control system established by the present disclosure through voice, mobile APP, etc., indirectly controlling the use and management of these devices, making our family life more convenient, smarter and more scientific.

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Abstract

一种AI控制件（01）、智能家居控制系统及控制方法，用于对与其相连接的智能设备进行AI控制，AI控制件（01）包括：主控模块（10）、通讯模块（20）和接口模块（30）；主控模块（10）根据接收到的控制指令，输出对与其连接的智能设备的控制信号，通讯模块（20）与其相连接的智能设备建立通讯连接；接口模块（30）建立与其他智能设备之间的连接，并接收相连接智能设备传输的检测信号，以及转发主控模块（10）输出的对与其相连接的智能设备的控制信号。控制系统及控制方法通过AI控制件（01）接收控制指令，进行识别，并转化成智能设备可识别的控制信号，实现家用智能设备可以实现人工智能化，使得我们的家庭生活更方便、更智能、更科学。

Description

一种AI控制件、智能家居控制系统及控制方法 技术领域
本公开涉及智能家居技术领域，例如涉及的是一种AI控制件、智能家居控制系统及控制方法。
背景技术
人工智能是生产出一种新的能以人类智能相似的方式做出反应的智能机器，人工智能的研究领域包括：语音识别、图像设备、自然语音处理和专家系统等，而且由于其对人的意识和思维信息过程的模拟，人工智能设备的使用能更加便于用户生活，因此人工智能设备的研究愈加广泛的重视。
目前家庭常用的电器设备如音箱、电视、空调、冰箱等，其中大部分都是非人工智能设备，这些家用电器设备还无法语音识别用户发出的语音指令或与用户进行简单的对话等功能，在人工智能(AI)高速发展并且应用领域越来越广的背景下，有必要开发一种方法或者产品来解决家居设备不具有人工智能的问题。
因此，现有技术有待于进一步的改进。
发明内容
鉴于上述现有技术中的不足之处，本公开的目的在于为用户提供一种AI控制件、智能家居控制系统及控制方法，克服现有技术中家用智能设备不具有人工智能的缺陷。
本公开解决技术问题所采用的技术方案如下：
本公开的第一实施例为一种AI控制件，其中，用于对与其相连接的智能设备进行AI控制，所述AI控制件包括：
主板；
所述主板上设置有主控模块、通讯模块和接口模块；
所述通讯模块和接口模块均与所述主控模块建立连接；
所述主控模块，用于根据接收到的控制指令，输出对与其连接的智能设备的控制信号，同时接收并处理所述接口模块输入的检测信号，根据处理结果输出相应控制信号，以及与所述通讯模块进行数据交换；
所述通讯模块，用于与其相连接的智能设备建立通讯连接；
所述接口模块，包括至少一种连接接口，用于建立与其他智能设备之间的连 接，并接收相连接智能设备传输的检测信号，以及转发所述主控模块输出的对与其相连接的智能设备的控制信号。
可选的，还包括：
控制板；
所述主板上还设置有语音模块，所述控制板上设置有触控模块；
所述语音模块，用于接收用户发出的语音指令，并将接收到的语音指令传输到所述主控模块；
所述触控模块，用于接收用户发出的触控信号，并将接收到的触控指令传输到所述主控模块。
可选的，所述控制板上还设置有：与所述主控模块相连接的传感模块、功放模块和光效模块；
所述传感模块包括至少一个声学传感器阵列、至少一个温度传感器，湿度传感器及传感处理芯片，用于接收环境状态信息，将采集到的环境状态信息传输至主控模块；
所述主控模块，还用于接收所述传感模块传输的所述环境状态信息，并对所述环境状态信息进行处理，并根据处理结果输出相应控制信号；
所述功放模块，包括伴音功放集成块，用于对语音模块中输出的语音信号进行放大处理；
所述光效模块，由LED驱动IC和至少一个LED组成，用于接收所述主控模块发出的驱动信号，执行LED的开启和关闭。
可选的，所述主板上还设置有电源模块；所述控制板上还设置有无线充电模块；
电源模块，与所述主控模块相连接，用于为AI控制件中的其他功能模块提供电源；
所述无线充电模块，与所述电源模块相连接，包括：充电控制芯片、充电线圈及其外围电路，用于通过无线连接的方式为所述电源模块充电。
本公开的第二实施例为一种智能家居控制系统，其中，包括：至少一个家用智能设备和与至少一个家用智能设备建立连接的AI控制件；
所述AI控制件接收用户发出的对所述家用智能设备的控制指令，并将所述控制指令传输到所述主控模块；
所述主控模块将所述控制指令转化成与所述控制指令相对应的家用智能设备可识别的控制信号，并将所述控制信号传输至所述家用智能设备；
所述家用智能设备接收控制信号，并执行相应的控制操作。
可选的，所述AI控制件还包括设置在主板上的语音模块和设置在外壳内部的控制板上的触控模块；
所述AI控制件通过所述语音模块接收用户发出的控制指令，或者通过所述触控模块接收用户发出的控制指令；
或者所述AI控制件通过与其建立通信连接的移动终端接收用户发出的控制指令；
或者所述AI控制件通过与其建立通信连接的任意一个家用智能设备接收用户发出的控制指令。
可选的，所述至少一个所述家用智能设备建立连接的所述的AI控制件的连接方式包括：
至少一个所述AI控制件安装在至少一个家用智能设备的内部，或者所述AI控制件通过接口模块与至少一个家用智能设备建立有线连接，或者所述AI控制件通过通讯模块与所述至少一个家用智能设备建立无线通信连接。
可选的，还包括与AI控制件建立通信连接的云端服务器；
所述主控模块，还用于将从语音模块中接收到的语音指令通过通讯模块与云端服务器中存储的数据信息相比对，识别出语音指令中包含的语音信息；或者，用于将从语音模块中接收到的语音指令传输至云端服务器，并接收云端服务器反馈的语音指令中包含的语音信息；
和/或，所述主控模块，还用于将从所述传感模块中接收到的环境状态信息与云端服务器中存储的数据信息进行比对处理，并根据比对结果输出相对应的控制信号。
可选的，所述AI控制件检测并获取与其建立连接的家用智能设备的设备属性，为每个检测到的家用智能设备分配唯一标识符，并将所述设备属性及其相对应的唯一标识符保存在本地或者云端服务器中。
可选的，所述主控模块，还用于根据识别出的控制指令，从云端服务器中获取与所述控制指令相对应的多个历史操作信息，从多个历史操作信息中匹配出操作次数最多的操作信息，并发出与所述次数最多的操作信息相对应的控制信号到 家用智能设备，存储本次操作信息。
本公开的第三实施例为一种智能家居控制系统的控制方法，其中，包括以下步骤：
建立至少一个家用智能设备和AI控制件之间的连接；
所述AI控制件的接收用户对所述家用智能设备发出的控制指令，并将所述控制指令传输到所述主控模块；
所述主控模块将所述控制指令转化成与所述控制指令相对应的家用智能设备可识别的控制信号，并将所述控制信号传输至所述家用智能设备；
所述家用智能设备接收控制信号，并执行相应的控制操作。
可选的，所述AI控制件的接收用户对所述家用智能设备发出的控制指令的步骤包括：
所述AI控制件通过设置在主板上的语音模块接收用户发出的对所述家用智能设备的控制指令；
或者所述AI控制件通过设置在外壳内部的控制板上的触控模块接收用户发出控制指令；
或者所述AI控制件通过与其建立通信连接的移动终端接收用户发出的控制指令；
或者所述AI控制件通过与其建立通信连接的任意一个家用智能设备接收用户发出的控制指令。
可选的，所述建立至少一个家用智能设备和AI控制件之间的连接的步骤包括：
将至少一个所述AI控制件安装在至少一个家用智能设备的内部；
或者，所述AI控制件通过接口模块与至少一个家用智能设备建立有线连接；
或者，所述AI控制件通过通讯模块与所述至少一个家用智能设备建立无线通信连接。
可选的，所述主控模块将所述控制指令转化成与所述控制指令相对应的家用智能设备可识别的控制信号的步骤还包括：
建立AI控制件与云端服务器之间的通讯连接；
所述主控模块从语音模块中接收到的语音指令与云端服务器中存储的数据信息相比对，识别出语音指令中包含的语音信息；
以及，所述主控模块将从所述传感模块中接收到的环境状态信息与云端服务器中存储的数据信息进行比对处理，并根据比对结果输出相对应的控制信号。
可选的，所述主控模块将所述控制指令转化成与所述控制指令相对应的家用智能设备可识别的控制信号的步骤还包括：
所述主控模块根据识别出的控制指令，从云端服务器中获取与所述控制指令相对应的多个历史操作信息，从多个历史操作信息中匹配出操作次数最多的操作信息，并发出与所述次数最多的操作信息相对应的控制信号到家用智能设备，存储本次操作信息。
有益效果，本公开提供了一种AI控制件、智能家居控制系统及控制方法，通过植入或者通讯连接非人工智能家电设备如电视、音箱、空调、冰箱等连接，并与云端数据库连接进行数据比较和交换，通过复杂计算和深度学习，赋予这些设备家庭AI功能。用户通过语音、手机APP等给本公开组建的智能家居控制系统发出对任一个家电设备的指令，间接控制这些设备的使用和管理，提高了用户操作使用的效率，为用户提供了方便，使得用户的家庭生活更方便、更智能、更科学。
附图说明
图1是本公开提供的实施例中的一种AI控制件的立体图；
图2是本公开提供的实施例中的一种AI控制件的仰视图；
图3是本公开提供的实施例中的一种AI控制件的分解示意图；
图4是本公开所述AI控制件的第一实施例上各个功能模块的电路图；
图5是本公开第一实施例中所述电路图中引脚模块中各个引脚的示意图；
图6是本公开所述AI控制件的第一实施例上各个功能模块的原理结构示意图；
图7是本公开第一实施例中所述语音模块中语音识别的步骤流程图；
图8是本公开第二实施例所述智能家居控制系统的具体实施例的结构示意图；
图9是本公开所述的控制系统自学习步骤流程图；
图10是本公开第三实施例所述控制方法具体实施例的步骤流程图；
图11是本公开所述的控制方法具体中第一较佳实施例的步骤流程图；
图12是本公开所述的控制方法具体应用的第二较佳实施例的步骤流程图；
图13是本公开所述的控制方法具体应用的第三示例的步骤流程图；
图14是本公开所述的控制方法具体应用的第四示例的步骤流程图。
具体实施方式
为使本公开的目的、技术方案及优点更加清楚、明确，以下参照附图并举实施例对本公开进一步详细说明。应当理解，此处所描述的具体实施例仅仅用于解释本公开，并不用于限定本公开。
由于现有技术中家用电器仅仅为智能电器，但是其中大部分均不具有人工智能的功能，因此为了提高家用电器的人工智能化，并实现用户对家居内全部的智能设备的人工智能化控制，本实施例公开了一种用于实现家用电器辅助AI控制件，通过将家用电器与所述AI控制件建立连接，实现家用电器的人工智能。
实施例1
具体的，本公开的第一实施例为一种AI控制件，结合图1至图6所示，本公开所述的AI控制件用于对与其相连接的智能设备进行AI控制，所述AI控制件01包括：主板014；
所述主板014上设置有主控模块10、通讯模块20和接口模块30；
所述通讯模块20和接口模块30均与所述主控模块10建立连接；
所述主控模块10，用于根据接收到的控制指令，输出对与其连接的智能设备的控制信号，同时接收并处理所述接口模块30输入的检测信号，根据处理结果输出相应控制信号，以及与所述通讯模块20进行数据交换；
所述通讯模块20，用于与其相连接的智能设备建立通讯连接20；
所述接口模块30，包括多种连接接口，用于建立与其他智能设备之间的连接，并接收相连接智能设备传输的检测信号，以及转发所述主控模块输出的对与其相连接的智能设备的控制信号。
主控模块10负责将其他功能模块传输过来的信号进行集中计算和处理，如图4所示，它包括主芯片、DDR、EMMC、RESET、时钟控制电路等外围电路，其中主芯片可以根据系统需要选择不同的型号及架构，本公开以RK3229为例，其为四核Cortex-A7，主频最高达1.5GHz，可以对图像和数据进行复杂计算，并具有深度学习的能力，能满足家用AI的系统需要。主控模块10通过SDIO3.0、UART、PCM信号与通讯模块20进行数据交换，最后通过接口模块的Control 信号控制与其相连接的智能设备。
通讯模块20负责与本系统与外部设备及云端的通讯，如图4所示，它包括WIFI模块和蓝牙模块，其中蓝牙模块根据需要选用。它通过接入路由器组建的无线网络实现与接入无线网络的智能终端之间的通讯，以及与云端的通讯，以及与移动终端之间的通讯。
接口模块30包括但不限于供电接口、接地脚、检测接口、控制信号接口、IIS接口等，如图4和图5所示。其中，供电接口负责对植入或者连接的智能设备的供电部分取电源，并将此电源提供给系统的电源模块；接地接口与智能设备的接地脚连接，保障系统接地良好，正常工作；检测接口负责检测是否与植入或者连接的家电设备对接良好；通过控制信号接口负责可以实现系统对被植入的智能设备进行控制。
较佳的，还包括控制板012；
所述主板上还设置有语音模块30，所述控制板012上设置有触控模块40；
所述语音模块30，用于接收用户发出的语音指令，并将接收到的语音指令传输到所述主控模块10；
所述触控模块40，用于接收用户发出的触控信号，并将接收到的触控指令传输到所述主控模块10。
语音模块30负责对用户发出的语音指令的声场的空间特性进行采集和处理，并通过IIS的方式将信号传输给主控模块10。本公开采用一定数目的声学传感器(一般是麦克风)阵列的方式实现，阵列的方式以及声学传感器的数量根据系统需要选择。以6个声学传感器分布式阵列为例，能够较好实现噪声抑制、混响消除、回声抵消、声源测向、波束形成、阵列增益、模型匹配等功能。
可以想到的是，所述语音模块用于对用户发出的语音指令进行识别，为了达到更好的语音识别效果，AI控制件的通讯模块还与云端服务器建立连接，所述主控模块通过将语音模块中接收到的语音信息与云端的数据库进行比较和计算，进而实现语音识别。
如图7所示，语音识别过程主要包括语音信号的预处理、特征提取、模式匹配几个步骤，预处理包括预滤波、采样和量化、加窗、端点检测、预加重等过程。语音信号识别最重要的一环就是特征参数提取。提取的特征参数必须满足以下的要求：1)提取的特征参数能有效地代表语音特征，具有很好的区分性；(2)各阶参 数之间有良好的独立性；3)特征参数要计算方便，最好有高效的算法，以保证语音识别的实时实现。在训练阶段，将特征参数进行一定的处理后，为每个词条建立一个模型，保存为模板库。作为参考模板。在识别阶段，语音信号经过相同的通道得到语音特征参数，生成测试模板，与模板库里的参考模板进行匹配，将匹配分数最高的参考模板作为识别结果。同时，还可以在很多先验知识(先前验证过的知识)的帮助下，提高识别的准确率。
触控模块50包括电容式触控IC及对应的触控感应按键，按键数量根据系统需要选择，如图4所示。此模块根据手指与触控感应按键之间形成的电容的容量变化来产生触发信号，触控IC对这些信号进行处理后通过IIC传输给主控模块10，主控模块10根据这些信号进行计算和处理并输出对应的控制信号给相连接的智能设备。
可选的，所述控制板012上还设置有：与所述主控模块10相连接的传感模块、功放模块和光效模块；
所述传感模块60包括至少一个声学传感器阵列、至少一个温度传感器，湿度传感器及传感处理芯片，用于接收环境状态信息，将采集到的环境状态信息传输至主控模块10；
所述主控模块10，还用于接收所述传感模块传输的所述环境状态信息，并对所述环境状态信息进行处理，并根据处理结果输出相应控制信号；
所述功放模块100，包括伴音功放集成块，用于对语音模块中输出的语音信号进行放大处理；
所述光效模块80，由LED驱动IC和至少一个LED组成，用于接收所述主控模块10发出的驱动信号，执行LED的开启和关闭。
具体的，传感模块60包括温度传感器、湿度传感器等，根据系统需要选择，如图4所示，本模块实现对相连接智能设备的运行环境及周围环境进行温度、湿度等监测并传输对应的数据给主控模块10，主控模块10再将此数据与云端的数据库进行比较和处理。
功放模块100由伴音功放IC和微型喇叭组成，根据系统需要选择，如图4所示，当用户对系统发出语音指令或者其他操作时，系统将处理的结果或者发出的指令通过此模块用声音的方式通知用户。
光效模块80由LED驱动IC和LED组成，IC的驱动通道数及LED的数量 根据系统需要选择，如图4所示，当系统接收到指令需要光效指示的时候，主控模块10通过IIC给到LED驱动IC，然后驱动LED发出提前编好的光效，实现本系统的智能提示，体现美感和科技感。
较佳的，所述主板012上还设置有电源模块70；所述控制板014上还设置有无线充电模块90；
电源模块70，与所述主控模块10相连接，用于为AI控制件中的其他功能模块提供电源；
所述无线充电模块90，与所述电源模块70相连接，包括：充电控制芯片、充电线圈及其外围电路，用于通过无线连接的方式为所述电源模块70充电。
无线充电模块90主要是发射模块，由芯片、线圈及其他外围电路组成，如图4所示，实现对手机的无线充电功能，提高本系统的拓展应用。充电功率、工作模式、支持标准、线圈数量等根据系统需要选择。
所述主控模块10通过IIC控制光效模块80、触控模块50、传感模块60、无线充电模块90，通过IIS信号与语音模块40进行数据交换。
结合图2所示，还包括外壳016，所述主板012和控制板014设置在外壳016内；所述外壳016的上方还设置有面板011，所控制板014与主板012的边缘还设置有边框013，所述外壳016的下方还设置有底座018；用户可以通过对面板上的按键实现对触控模块的控制，所述边框用于固定控制板和主板在外壳上，所述底座用于实现AI控制件便于放置。
所述面板011固定在所述控制板012的上方，所述底座018与外壳016之间还设置有声音播放器017；所述底座018还设置有USB接口。
为了便于实现AI控制件中主控模块处理的信息进行语音播放，所述底座与外壳之间还设置了喇叭，用于发出语音信息，为了便于建立连接所述底座上还设置有USB接口，便于通过USB连接线实现对AI控制件的充电及信息传输。
本公开提供一种AI控制件，包括但不限于图1至图5所示的产品形态，它包括但不限于面板、控制板、边框、主板、电池、外壳、喇叭、底座等，如图3所示。其中面板配合边框实现触控按键、显示、无线充电等功能，按键功能丝印根据需要定义，例如开关、静音、音量加减等，显示效果需要光效模块和外框的配合，具体效果根据需要定义，例如开机灯亮、关机灯灭、休眠绿灯亮、电量不足红灯闪烁、处理指令三色灯交替闪烁等；无线充电功能可以通过面板直接给手 机等设备进行充电。控制板集成了触控模块、光效模块、传感模块、无线充电模块等软硬件部分；主板集成了主控模块、电源模块、通讯模块、功放模块、语音模块、接口模块等软硬件部分。电池实现对本系统在没有外部充电的情况下的供电。底座底部有接口负责与设备的植入和连接。
实施例2
本公开的第二实施例为一种智能家居控制系统，如图8，包括：至少一个家用智能设备和与至少一个家用智能设备建立连接的AI控制件；其中所述家用智能设备可以为：空调、冰箱、电视或者音响。
所述AI控制件接收用户发出的对所述家用智能设备的控制指令，并将所述控制指令传输到所述主控模块；
所述主控模块将所述控制指令转化成与所述控制指令相对应的家用智能设备可识别的控制信号，并将所述控制信号传输至所述家用智能设备；
所述家用智能设备接收控制信号，并执行相应的控制操作。
如图8所示，将家用智能设备与AI控制件建立连接，则AI控制件可以接收用户发出的对家用智能设备的控制指令，AI控制件将其接收到的控制指令转化成家用智能设备可以识别的控制信号后，将控制信号发送至相对应的家用智能设备。
为了实现更好的对用户发出的控制指令进行接收，所述AI控制件还包括设置在主板上的语音模块和设置在外壳内部的控制板上的触控模块；
所述AI控制件通过所述语音模块接收用户发出的控制指令，或者通过所述触控模块接收用户发出的控制指令；
或者所述AI控制件通过与其建立通信连接的移动终端接收用户发出的控制指令；
或者所述AI控制件通过与其建立通信连接的任意一个家用智能设备接收用户发出的控制指令。
也即是，具体实施时，用户可以分别通过上述四种不同的方式发出对家用智能设备控制指令：
第一种为通过AI控制件上的触控模块，也即是通过按键输出控制指令。
第二种为通过AI控制件上的语音模块接收语音控制指令，也即是通过对对 AI控制件发出语音，AI控制件上的语音模块对用户发出的语音指令进行识别，从而获取到控制指令。
第三种为通过与AI控制件相连接的移动终端，比如：智能手机转发用户发出的控制指令，具体的，用户可以通过在智能手机上安装与AI控制件相关联的手机APP，通过所述手机APP发出对家用智能设备的控制指令至AI控制件，所述AI控制件接收到所述控制指令后，对相对应的智能设备发出控制信号。
第四种为通过对于AI控制件相连接的任意一个家用智能设备发出控制指令。家用智能设备将其接收到的控制指令转发至AI控制件，AI控制件接收到的控制指令进行分析，识别出相对应的家用智能设备，并发出相对应的控制信号至相应的家用智能设备，比如：当空调和冰箱均与AI控制件相连接时，则可以通过对冰箱的语音模块发出对空调的控制指令，冰箱将其接收到的语音信息转发AI控制件，AI控制件控制空调进行相应的控制操作。
由于本系统中可能包括多个家用智能设备和一个或者多个AI控制件，因此所述多个家用智能设备与所述AI控制件的连接方式包括以下几种：
第一种，至少一个所述AI控制件安装在至少一个家用智能设备的内部，也即是，可以每个家用智能设备均在其内部安装有所述AI控制件，每个AI控制件之间也建立通信连接，也可以将一个AI控制件安装在其中一个家用智能设备内部，家用智能设备通过将其接收到的控制指令转发到AI控制件内，即可以实现各个家用智能设备人工智能化的同时，还可以进行多个家用智能设备之间的信息传递。
第二种，所述AI控制件通过接口模块与至少一个家用智能设备建立有线连接。也即是，一个AI控制件通过接口模块建立与多个家用智能设备之间的有线连接，也可以是多个AI控制件通过接口模块与多个家用智能设备之间建立有线连接。
第三种方法，所述AI控制件通过通讯模块与所述至少一个家用智能设备建立无线通信连接。
可以想到的是，上述三种方式可以混合使用，也可以单独使用，只要满足多个家用智能设备均与AI控制件之间实现连接即可。
为了实现更好的识别语音信息和识别触控指令，还包括与AI控制件建立通信连接的云端服务器；
所述主控模块，还用于将从语音模块中接收到的语音指令通过通讯模块与云端服务器中存储的数据信息相比对，识别出语音指令中包含的语音信息；或者，用于将从语音模块中接收到的语音指令传输至云端服务器，并接收云端服务器反馈的语音指令中包含的语音信息。
也即是可以通过不同的方式进行语音识别，第一种为：主控模块可以通过通讯模块与云端服务器建立通讯连接，从云端服务器中的数据库中获取相对应的数据信息，从而识别出语音指令中包含的信息，或者第二种，主控模块还可以通过通讯模块，将接收到的语音指令传输到云端服务器，由云端服务器执行数据库信息的比对和计算，从而识别出语音指令中包含的信息，从而实现语音识别。
所述主控模块，还用于将从所述传感模块中接收到的环境状态信息与云端服务器中存储的数据信息进行比对处理，并根据比对结果输出相对应的控制信号。
为了准确的实现对控制指令的识别及传输至相对应的家用智能设备，所述AI控制件检测并获取与其建立连接的家用智能设备的设备属性，为每个检测到的家用智能设备分配唯一标识符，并将所述设备属性及其相对应的唯一标识符保存在本地或者云端服务器中。
根据所述设备属性识别出其可识别的控制信号，根据为其分配的唯一标识符实现准确的控制信号传递。
可选的，所述主控模块，还用于根据识别出的控制指令，从云端服务器中获取与所述控制指令相对应的多个历史操作信息，从多个历史操作信息中匹配出操作次数最多的操作信息，并发出与所述次数最多的操作信息相对应的控制信号到家用智能设备，存储本次操作信息。
为了实现家居控制系统的人工智能化，本系统还具有自学习的过程。结合图9，所述自学习过程包括以下步骤：
步骤H1、AI控制件通过接口模块植入家用智能设备，或者通过通讯模块建立AI控制件与家用智能设备之间的连接。
步骤H2、检查与其相连接的智能设备的设备属性，例如是电视还是冰箱、洗衣机、空调等，并把此设备的属性对应的数据存储在本地和云端的数据库，并生成相应的标志位以便于后续查找和调用。
步骤H3、判断系统是否进入休眠状态，若是，则执行步骤H5。
根据当前系统的充电状态，判断当前系统是否进入休眠状态。若系统进入 休眠状态，则供电进入待机状态，此时功耗最低，长亮红灯提示。
步骤H4、判断是否接收到唤醒指令，若是，则执行步骤H5，则执行步骤H5，否则返回步骤H3。
步骤H5、主控模块处理控制指令。
本系统的控制提供两种方式，直接对本系统发出语音指令和手机APP进行控制，当我们用语音或者手机APP发出指令后，系统会从休眠状态被唤醒，语音唤醒方式例如“小维，请开机”等。
唤醒后，系统供电进入正常状态，然后通过通讯模块和语音模块继续接收外部指令并对指令进行计算和处理，指令的执行需要结合与云端的数据调用和比较，以便于做出合适的动作，例如针对“打开电视，看最热电视剧”指令，系统会直接打开电视并把频度自动调到电视剧频道，到云端的数据库选择当前热度最高的节目，并按照之前的用户喜好设置好亮度、对比度、音量等，再例如针对“中午吃什么”指令，系统会针对冰箱里现有的食材及状态进行检测和分类，按照之前记忆的用户的饮食爱好和营养均衡搭配的原则，根据现有的食材及状态进行菜谱的制作，最后通过语音或者屏幕显示的方式提供出来供选择。
步骤H6、执行深度学习操作。
执行完指令后，系统会针对执行过程将数据存储到云端数据库，并与之前的数据进行比较，从而优化之前的数据结构，达到深度学习的能力，为下一次类似指令做出最合适的操作并具有预判能力，例如会及时提醒用户最近有他喜欢的电视剧，提醒冰箱里的食品快过期了，自动将空调设置到合适的温度等。
步骤H7、系统的深度学习完成后，会提示用户是否进化，如果用户同意，则执行步骤H8，如果不同意，则不进化。
步骤H8、系统会自动进行升级，最后系统重新进入休眠状态。
至此，整个工作流程完成。
实施例3
本公开的第三实施例为一种智能家居控制系统的控制方法，其中，包括以下步骤：
步骤S101、建立至少一个家用智能设备和AI控制件之间的连接。
步骤S102、所述AI控制件的接收用户对所述家用智能设备发出的控制指令， 并将所述控制指令传输到所述主控模块。
步骤S103、所述主控模块将所述控制指令转化成与所述控制指令相对应的家用智能设备可识别的控制信号，并将所述控制信号传输至所述家用智能设备。
步骤S104、所述家用智能设备接收控制信号，并执行相应的控制操作。
具体的，所述AI控制件的接收用户对所述家用智能设备发出的控制指令的步骤包括：
所述AI控制件通过设置在主板上的语音模块接收用户发出的对所述家用智能设备的控制指令；
或者所述AI控制件通过设置在外壳内部的控制板上的触控模块接收用户发出控制指令；
或者所述AI控制件通过与其建立通信连接的移动终端接收用户发出的控制指令；
或者所述AI控制件通过与其建立通信连接的任意一个家用智能设备接收用户发出的控制指令。
具体的，所述建立至少一个家用智能设备和AI控制件之间的连接的步骤包括：
将多个所述AI控制件对应安装在各个家用智能设备的内部；
或者，所述AI控制件通过接口模块与至少一个家用智能设备建立有线连接；
或者，所述AI控制件通过通讯模块与所述至少一个家用智能设备建立无线通信连接。
较佳的，所述主控模块将所述控制指令转化成与所述控制指令相对应的家用智能设备可识别的控制信号的步骤还包括：
建立AI控制件与云端服务器之间的通讯连接；
所述主控模块从语音模块中接收到的语音指令与云端服务器中存储的数据信息相比对，识别出语音指令中包含的语音信息；
以及，所述主控模块将从所述传感模块中接收到的环境状态信息与云端服务器中存储的数据信息进行比对处理，并根据比对结果输出相对应的控制信号。
可选的，所述主控模块将所述控制指令转化成与所述控制指令相对应的家用智能设备可识别的控制信号的步骤还包括：
所述主控模块根据识别出的控制指令，从云端服务器中获取与所述控制指令 相对应的多个历史操作信息，从多个历史操作信息中匹配出操作次数最多的操作信息，并发出与所述次数最多的操作信息相对应的控制信号到家用智能设备，存储本次操作信息。
为了对本公开所述的控制方法做详细的说明，以下对其具体实施例做说明。
第一实施例的控制方法，如图11所示，其包括以下步骤：
步骤S1101、至少一个家用智能设备通过其内置的无线模块与同一个AI控制件建立通讯，AI控制件识别相连接家用智能设备的设备属性，并存储。
步骤S1102、用户对AI控制件发出语音指令；
步骤S1103、AI控制件接收所述语音指令，并对所述语音指令进行识别，并结合存储的历史操作信息，分析出当前指令所对应的最佳设置，将识别出的语音指令转化成相对应家用智能设备可以识别的所述最佳设置的控制信号，并将所述控制信号传递给该家用智能设备。
步骤S1104、家用智能设备通过无线模块接收到所述控制信号，执行相应的控制操作。
步骤S1105、对本次控制指令的执行操作保存至云端服务器和本地，用于对下次执行控制指令的自学习。
第二实施例的控制方法，如图12所示，其包括以下步骤：
步骤S1201、多个家用智能设备分别与安装在其内部的AI控制件建立通讯，各个AI控制件均识别多个家用智能设备的设备属性，并存储。
步骤S1202、用户对其中一个AI控制件发出语音指令；
步骤S1203、接收到用户控制指令的AI控制件接收所述语音指令，并对所述语音指令进行识别，并将识别出的语音指令转化成相对应家用智能设备可以识别的控制信号，并将所述控制信号传递给该家用智能设备。
步骤S1204、家用智能设备通过无线模块接收到所述控制信号，执行相应的控制操作。
步骤S1205、对本次控制指令的执行操作保存至云端服务器和本地，用于对下次执行控制指令的自学习。
第三实施例的控制方法，如图13所示，其包括以下步骤：
步骤S1301、多个家用智能设备分别与多个AI控制件通过外部的USB建立通讯连接，各个AI控制件均识别多个家用智能设备的设备属性，并存储。
步骤S1302、用户对其中一个AI控制件发出语音指令；
步骤S1303、接收到用户控制指令的AI控制件接收所述语音指令，并对所述语音指令进行识别，并将识别出的语音指令转化成相对应家用智能设备可以识别的控制信号，并将所述控制信号传递给该家用智能设备。
步骤S1304、家用智能设备通过无线模块接收到所述控制信号，执行相应的控制操作。
步骤S1305、对本次控制指令的执行操作保存至云端服务器和本地，用于对下次执行控制指令的自学习。
第四实施例的控制方法，如图14所示，其包括以下步骤：
步骤S1401、多个家用智能设备分别与多个AI控制件通过外部的USB建立通讯连接，各个AI控制件均识别多个家用智能设备的设备属性，并存储。
步骤S1402、用户对其中一个家用智能设备发出语音指令；
步骤S1403、接收到用户控制指令的家用智能设备接收所述语音指令，并将所述家用智能设备转发到AI控制器；
步骤S1404、AI控制器通过接口模块接收所述语音指令，对所述语音指令进行识别，并将识别出的语音指令转化成相对应家用智能设备可以识别的控制信号，并将所述控制信号传递给该家用智能设备。
步骤S1405、家用智能设备通过无线模块接收到所述控制信号，执行相应的控制操作。
步骤S1406、对本次控制指令的执行操作保存至云端服务器和本地，用于对下次执行控制指令的自学习。
本公开提供了一种AI控制件、智能家居控制系统及控制方法，其中，一种家庭AI辅助系统,通过植入或者与电视、音箱、空调等非智能电器设备连接，使得这些电器成为具有AI功能的智能设备，让我们的家庭生活更智能、更科学，在行业属首次集成应用，未来的应用将非常广泛。
有益效果，本公开提供了一种AI控制件、智能家居控制系统及控制方法，用于对与其相连接的智能设备进行AI控制，所述AI控制件包括：外壳和位于所述外壳内部的主板；所述主板上设置有主控模块、通讯模块和接口模块；所述通讯模块和接口模块均与所述主控模块建立连接；所述主控模块，用于根据接收到的控制指令，输出对与其连接的智能设备的控制信号，同时接收并处理所述接 口模块输入的检测信号，根据处理结果输出相应控制信号，以及与所述通讯模块进行数据交换；所述通讯模块，用于与其相连接的智能设备建立通讯连接；所述接口模块，包括多种连接接口，用于建立与其他智能设备之间的连接，并接收相连接智能设备传输的检测信号，以及转发所述主控模块输出的对与其相连接的智能设备的控制信号。所述控制系统及控制方法通过植入或者通讯连接非人工智能家电设备如电视、音箱、空调、冰箱等连接，并与云端数据库连接进行数据比较和交换，通过复杂计算和深度学习，赋予这些设备家庭AI功能。用户通过语音、手机APP等给本公开组建的智能家居控制系统发出对任一个家电设备的指令，间接控制这些设备的使用和管理，使得我们的家庭生活更方便、更智能、更科学。
可以理解的是，对本领域普通技术人员来说，可以根据本公开的技术方案及其发明构思加以等同替换或改变，而所有这些改变或替换都应属于本公开所附的权利要求的保护范围。

Claims (15)

  1. 一种AI控制件，其特征在于，用于对与其相连接的智能设备进行AI控制，所述AI控制件包括：
    主板；
    所述主板上设置有主控模块、通讯模块和接口模块；
    所述通讯模块和接口模块均与所述主控模块建立连接；
    所述主控模块，用于根据接收到的控制指令，输出对与其连接的智能设备的控制信号，同时接收并处理所述接口模块输入的检测信号，根据处理结果输出相应控制信号，以及与所述通讯模块进行数据交换；
    所述通讯模块，用于与其相连接的智能设备建立通讯连接；
    所述接口模块，包括至少一种连接接口，用于建立与其他智能设备之间的连接，并接收相连接智能设备传输的检测信号，以及转发所述主控模块输出的对与其相连接的智能设备的控制信号。
  2. 根据权利要求1所述的AI控制件，其特征在于，还包括：
    控制板；
    所述主板上还设置有语音模块；
    所述控制板上设置有触控模块；
    所述语音模块，用于接收用户发出的语音指令，并将接收到的语音指令传输到所述主控模块；
    所述触控模块，用于接收用户发出的触控信号，并将接收到的触控指令传输到所述主控模块。
  3. 根据权利要求1所述的AI控制件，其特征在于，所述控制板上还设置有：
    与所述主控模块相连接的传感模块、功放模块和光效模块；
    所述传感模块包括至少一个声学传感器阵列、至少一个温度传感器，湿度传感器及传感处理芯片，用于接收环境状态信息，将采集到的环境状态信息传输至 主控模块；
    所述主控模块，还用于接收所述传感模块传输的所述环境状态信息，并对所述环境状态信息进行处理，并根据处理结果输出相应控制信号；
    所述功放模块，包括伴音功放集成块，用于对语音模块中输出的语音信号进行放大处理；
    所述光效模块，由LED驱动IC和至少一个LED组成，用于接收所述主控模块发出的驱动信号，执行LED的开启和关闭。
  4. 根据权利要求1所述的AI控制件，其特征在于，所述主板上还设置有电源模块；所述控制板上还设置有无线充电模块；
    电源模块，与所述主控模块相连接，用于为AI控制件中的其他功能模块提供电源；
    所述无线充电模块，与所述电源模块相连接，包括：充电控制芯片、充电线圈及其外围电路，用于通过无线连接的方式为所述电源模块充电。
  5. 一种智能家居控制系统，其特征在于，包括：至少一个家用智能设备和与至少一个所述家用智能设备建立连接的如权利要求1所述的AI控制件；
    所述AI控制件接收用户发出的对所述家用智能设备的控制指令，并将所述控制指令传输到所述主控模块；
    所述主控模块将所述控制指令转化成与所述控制指令相对应的家用智能设备可识别的控制信号，并将所述控制信号传输至所述家用智能设备；
    所述家用智能设备接收控制信号，并执行相应的控制操作。
  6. 根据权利要求5所述的智能家居控制系统，其特征在于，所述AI控制件还包括设置在主板上的语音模块和设置在外壳内部的控制板上的触控模块；
    所述AI控制件通过所述语音模块接收用户发出的控制指令，或者通过所述触控模块接收用户发出的控制指令；
    或者所述AI控制件通过与其建立通信连接的移动终端接收用户发出的控制 指令；
    或者所述AI控制件通过与其建立通信连接的任意一个家用智能设备接收用户发出的控制指令。
  7. 根据权利要求5所述的智能家居控制系统，其特征在于，所述至少一个家用智能设备与至少一个所述家用智能设备建立连接的所述的AI控制件的连接方式包括：
    至少一个所述AI控制件安装在至少一个所述家用智能设备的内部，或者所述AI控制件通过接口模块与至少一个家用智能设备建立有线连接，或者所述AI控制件通过通讯模块与至少一个所述家用智能设备建立无线通信连接。
  8. 根据权利要求6所述的智能家居控制系统，其特征在于，还包括与AI控制件建立通信连接的云端服务器；
    所述主控模块，还用于将从语音模块中接收到的语音指令通过通讯模块与云端服务器中存储的数据信息相比对，识别出语音指令中包含的语音信息，或者用于将从语音模块中接收到的语音指令传输至云端服务器，并接收云端服务器反馈的语音指令中包含的语音信息；
    和/或所述主控模块，还用于将从所述传感模块中接收到的环境状态信息与云端服务器中存储的数据信息进行比对处理，并根据比对结果输出相对应的控制信号。
  9. 根据权利要求7所述的智能家居控制系统，其特征在于，所述AI控制件检测并获取与其建立连接的家用智能设备的设备属性，为每个检测到的家用智能设备分配唯一标识符，并将所述设备属性及其相对应的唯一标识符保存在本地或者云端服务器中。
  10. 根据权利要求8所述的智能家居控制系统，其特征在于，所述主控模块，还用于根据识别出的控制指令，从云端服务器中获取与所述控制指令相对应的多个历史操作信息，从多个历史操作信息中匹配出操作次数最多的操作信息，并发出与所述次数最多的操作信息相对应的控制信号到家用智能设备，存储本次操作信息。
  11. 一种如权利要求5所述的智能家居控制系统的控制方法，其特征在于，包括以下步骤：
    建立至少一个家用智能设备和AI控制件之间的连接；
    所述AI控制件的接收用户对所述家用智能设备发出的控制指令，并将所述控制指令传输到所述主控模块；
    所述主控模块将所述控制指令转化成与所述控制指令相对应的家用智能设备可识别的控制信号，并将所述控制信号传输至所述家用智能设备；
    所述家用智能设备接收控制信号，并执行相应的控制操作。
  12. 根据权利要求11所述的控制方法，其特征在于，所述AI控制件的接收用户对所述家用智能设备发出的控制指令的步骤包括：
    所述AI控制件通过设置在主板上的语音模块接收用户发出的控制指令；
    或者所述AI控制件通过设置在外壳内部的控制板上的触控模块接收用户发出的控制指令；
    或者所述AI控制件通过与其建立通信连接的移动终端接收用户发出的控制指令；
    或者所述AI控制件通过与其建立通信连接的任意一个家用智能设备接收用户发出的控制指令。
  13. 根据权利要求11所述的控制方法，其特征在于，所述建立至少一个家用智能设备和AI控制件之间的连接的步骤包括：
    将至少一个所述AI控制件安装在至少一个家用智能设备的内部；
    或者，所述AI控制件通过接口模块与至少一个家用智能设备建立有线连接；
    或者，所述AI控制件通过通讯模块与所述至少一个家用智能设备建立无线通信连接。
  14. 根据权利要求11所述的控制方法，其特征在于，所述主控模块将所述控制指令转化成与所述控制指令相对应的家用智能设备可识别的控制信号的步 骤还包括：
    建立AI控制件与云端服务器之间的通讯连接；
    所述主控模块从语音模块中接收到的语音指令与云端服务器中存储的数据信息相比对，识别出语音指令中包含的语音信息；
    以及，所述主控模块将从所述传感模块中接收到的环境状态信息与云端服务器中存储的数据信息进行比对处理，并根据比对结果输出相对应的控制信号。
  15. 根据权利要求14所述的控制方法，其特征在于，所述主控模块将所述控制指令转化成与所述控制指令相对应的家用智能设备可识别的控制信号的步骤还包括：
    所述主控模块根据识别出的控制指令，从云端服务器中获取与所述控制指令相对应的多个历史操作信息，从多个历史操作信息中匹配出操作次数最多的操作信息，并发出与所述次数最多的操作信息相对应的控制信号到家用智能设备，存储本次操作信息。
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