CN110488628A - One kind being based on dormant intelligent home control system - Google Patents
One kind being based on dormant intelligent home control system Download PDFInfo
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- CN110488628A CN110488628A CN201910836577.9A CN201910836577A CN110488628A CN 110488628 A CN110488628 A CN 110488628A CN 201910836577 A CN201910836577 A CN 201910836577A CN 110488628 A CN110488628 A CN 110488628A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- 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
Abstract
One kind being based on dormant intelligent home control system, and brain-computer interface includes the electrode being nested in eyeshade, the eeg signal being integrated in pillow acquisition module, signal processing module, microprocessor and RF baseband radio module；Electrode is for detecting and acquiring eeg signal；Eeg signal obtains module for obtaining electrode detection and being sent to signal processing module；Signal processing module is for extracting the frequency information in eeg signal and being sent to microprocessor；Microprocessor is used to send corresponding control signal to RF baseband radio module according to frequency information；RF baseband radio module is for sending control signals to IOT network module；IOT network module is connected to brain-computer interface and household appliance control system through wireless communication；Household appliance control system makes control operation to household electrical appliances according to control signal.The present invention is monitored by brain wave, quickly judges whether user enters sleep state, and then controls smart home according to sleep state.
Description
Technical field
The present invention relates to smart home fields, more particularly to one kind to be based on dormant intelligent home control system.
Background technique
With the development of Internet of Things, the function of smart home becomes more and more abundant, and final goal is by people from day
Chang Jujia life repetitive operation in free, and sleep occupy most time of people's family life, to sleep/
User under waking state adaptively executes that a series of family is electrically operated, is an important topic of smart home automation.
There are many existing sleep monitor method, consumer domain using it is more be that pulse and fine motion monitor, monitoring of pulse
It is required that wearing the personal states such as bracelet, not meeting the sleep of majority of populations or being accustomed at home, fine motion monitoring is not necessarily to personal placement,
But precision is poor, and needs the data statistics of long period could judge whether user enters light sleep or depth is slept
It sleeps, is more suitable for the detection of sleep quality, and the demand of sleep automatic adjustment family's electricity condition is difficult to and is timely responded to.At present
There are some schemes with brain wave monitoring sleep status, monitoring device has been integrated in pillow, but the power ten of brain wave
Point faint, the integrating device in pillow is physically between brain also across pillow appearance and hair, when plus user's sleep
The uncontrollable adjustment of sleeping position causes to implement very difficult.
Summary of the invention
It is an object of the invention to propose a kind of based on dormant smart home control for the defects of background technique
System processed, is monitored by brain wave, quickly judges whether user enters sleep state, and then controls intelligent family according to sleep state
It occupies.
To achieve this purpose, the present invention adopts the following technical scheme:
One kind being based on dormant intelligent home control system, including pillow and eyeshade, including brain-computer interface, IOT net
Network module and household appliance control system；The brain-computer interface includes the electrode being nested in the eyeshade, is integrated in the pillow
Eeg signal in head obtains module, signal processing module, microprocessor and RF baseband radio module；
The electrode is for detecting and acquiring eeg signal；The eeg signal obtains module for obtaining the electricity
It detects and is sent to the signal processing module in pole；The signal processing module is used to extract the frequency information in eeg signal
And it is sent to the microprocessor；The microprocessor is used to send corresponding control signal to the RF base according to frequency information
Band radio-frequency module；The RF baseband radio module is for sending control signals to the IOT network module；The IOT network
Module is connected to the brain-computer interface and household appliance control system through wireless communication；The household appliance control system
Control operation is made to household electrical appliances according to control signal.
Preferably, the electrode is used for brain wave when detecting brain activity and acquires the voltage signal of brain wave, and will
Voltage signal is transmitted to the eeg signal and obtains module, and the eeg signal obtains module and amplifies to voltage signal
It handles and the voltage signal after enhanced processing is transmitted to the signal processing module, the signal processing module is to voltage signal
Feature extraction is carried out, extracts frequency information and signal strength information, and frequency information and signal strength information are fed back into institute
Microprocessor is stated, the microprocessor judges whether sleep state switches according to actual frequency information and signal strength information, root
It is judged that result generates control signal, it is then forwarded to the RF baseband radio module, is sent by the RF baseband radio module
To the IOT network module.
Preferably, the signal processing module carries out feature extraction to the voltage signal of brain wave, specifically includes:
The signal processing module extracts actual frequency to the voltage signal for belonging to clutter in the voltage signal of brain wave
Information changes over time the difference of frequency according to voltage, is divided into four wave bands, the θ wave of δ wave band, 4-7Hz including 0.5-3Hz
Section, the α wave band of 8-13Hz and the beta band of 14-30Hz.
Preferably, frequency information and signal strength information that the microprocessor is fed back according to the signal processing module,
The signal voltage for obtaining four wave bands is strong and weak, selects the main band signal of current most strong voltage, and according to the strong of main band signal
Degree judges sleep state；
If the main band strength highest of α wave band and/or beta band, current sleep state is waking state；
If the main band strength highest of θ wave band, current sleep state is light sleep state；
If the main band strength highest of δ wave band, current sleep state is deep sleep state.
Preferably, the microprocessor determines whether sleep state switches according to the duration of current main band signal；
It specifically includes, when monitoring that the highest wave band of main band strength changes, the main band signal before judging variation
Duration whether be more than preset time, if being less than preset time, determine still in current sleep state；If main wave band
The duration of signal be more than preset time, then further judge main band signal whether meet dormant sequential logic and
Temporal logic determines that current sleep state has switched if meeting.
Preferably, the RF baseband radio module includes baseband module, radio-frequency module and antenna；
The control signal of generation is switched to electric signal and is sent to the baseband module by the processor, and the baseband module will
The intrinsic baseband signal of electric signal is sent to the radio-frequency module, and the radio-frequency module is by modulates baseband signals at radiofrequency signal
And it is sent to the antenna, radiofrequency signal is sent to the IOT network module by the antenna.
Preferably, the electrode includes first electrode and second electrode, and the first electrode is arranged in the eyeshade and volume
The contact position of skin after the eyeshade and ear is arranged in the contact position of scalp skin, the second electrode.
Preferably, the household appliance control system further includes smart home device, the RF baseband radio module, executes
Module and functional module, the antenna send control signals to the IOT network module, and the IOT network module will control
Signal is sent to the RF baseband radio module, and the RF baseband radio module sends control signals to the execution module,
The execution module generates control instruction according to control signal, and is sent to the functional module, and the functional module is according to control
System instruction manipulates the smart home device.
Preferably, frequency difference is changed over time according to voltage, in four wave bands being divided into, each band setting has correspondence
Bandpass filter.
Preferably, the eeg signal obtains module and amplifies processing to voltage signal by signal amplifier, only
The amplitude for changing voltage signal, does not change the frequency and waveform of voltage signal.
The utility model has the advantages that
1, the present invention is monitored analysis to brain wave by acquisition brain wave, quickly judges whether user enters sleep
State, and control instruction is generated with this, smart home is manipulated, realizes the automation of smart home, while passing through eyeshade and electrode
Be implemented in combination with brain wave monitoring, guarantee electrode be bonded skin of head always, a metastable monitoring environment is provided.
Detailed description of the invention
Fig. 1 is of the invention based on dormant Intelligent housing frame diagram；
Fig. 2 is the flow chart that foundation brain wave of the invention judges sleep state switching.
Specific embodiment
To further illustrate the technical scheme of the present invention below with reference to the accompanying drawings and specific embodiments.
Figure of description is subject in orientation in the present embodiment.
One kind of the invention is based on dormant intelligent home control system, including pillow and eyeshade, as shown in Figure 1,
Including brain-computer interface, IOT network module and household appliance control system；The brain-computer interface includes being nested in the eyeshade
Electrode, the eeg signal being integrated in the pillow obtain module, signal processing module, microprocessor and RF baseband radio mould
Block；
The electrode is for detecting and acquiring eeg signal；The eeg signal obtains module for obtaining the electricity
It detects and is sent to the signal processing module in pole；The signal processing module is used to extract the frequency information in eeg signal
And it is sent to the microprocessor；The microprocessor is used to send corresponding control signal to the RF base according to frequency information
Band radio-frequency module；The RF baseband radio module is for sending control signals to the IOT network module；The IOT network
Module is connected to the brain-computer interface and household appliance control system through wireless communication；The household appliance control system
Control operation is made to household electrical appliances according to control signal.
Have the scheme using brain wave monitoring sleep status in the prior art, is that electrode is integrated in pillow, still
Since the power of brain wave is very faint, physically there is also the resistances of pillow outer surface and hair with brain for electrode in pillow
Every, and user sleep when the uncontrollable adjustment of sleeping position, cause to implement it is very difficult, and the present invention by electrode be arranged in eye
In cover, and the design of eyeshade meets the sleep habit of most people, and more easy for electrode monitoring brain wave, simultaneously will
Eeg signal obtains module, signal processing module and RF baseband radio module are integrated in pillow, reduces additional integrated set
It is standby, while brain wave can be analyzed with real-time judge.
Preferably, the electrode is used for brain wave when detecting brain activity and acquires the voltage signal of brain wave, and will
Voltage signal is transmitted to the eeg signal and obtains module, and the eeg signal obtains module and amplifies to voltage signal
It handles and the voltage signal after enhanced processing is transmitted to the signal processing module, the signal processing module is to voltage signal
Feature extraction is carried out, extracts frequency information and signal strength information, and frequency information and signal strength information are fed back into institute
Microprocessor is stated, the microprocessor judges whether sleep state switches according to actual frequency information and signal strength information, root
It is judged that result generates control signal, it is then forwarded to the RF baseband radio module, is sent by the RF baseband radio module
To the IOT network module.
Main flow is then to obtain module to brain by eeg signal by electrode detection and acquisition eeg signal
Electric wave signal amplifies, and is then extracted using signal processing module to amplified brain wave, weeds out the inside clutter
Signal, microprocessor judges sleep state according to the eeg signal information after extraction, generates control letter according to sleep state
Number, it is sent finally by RF baseband radio module.
Preferably, the signal processing module carries out feature extraction to the voltage signal of brain wave, specifically includes:
The signal processing module extracts actual frequency to the voltage signal for belonging to clutter in the voltage signal of brain wave
Information changes over time the difference of frequency according to voltage, is divided into four wave bands, the θ wave of δ wave band, 4-7Hz including 0.5-3Hz
Section, the α wave band of 8-13Hz and the beta band of 14-30Hz.The microprocessor is believed according to the frequency that the signal processing module is fed back
Breath and signal strength information, the signal voltage for obtaining four wave bands is strong and weak, selects the main band signal of current most strong voltage, and root
Intensity according to main band signal judges sleep state；
If the main band strength highest of α wave band and/or beta band, current sleep state is waking state；
If the main band strength highest of θ wave band, current sleep state is light sleep state；
If the main band strength highest of δ wave band, current sleep state is deep sleep state.
Eeg signal is divided into four wave bands by signal processing module, and α wave band and the corresponding sleep state of beta band are awake
State, the corresponding sleep state of θ wave band is light sleep state, and the corresponding sleep state of δ wave band is deep sleep state.
Microprocessor selects the main band signal of current most strong voltage, judgement according to frequency information and signal strength information
The main band signal belongs to which wave band in four wave bands, to judge current sleep state.
Preferably, as shown in Fig. 2, the microprocessor determines sleep state according to the duration of current main band signal
Whether switch；
It specifically includes, when monitoring that the highest wave band of main band strength changes, the main band signal before judging variation
Duration whether be more than preset time, if being less than preset time, determine still in current sleep state；If main wave band
The duration of signal be more than preset time, then further judge main band signal whether meet dormant sequential logic and
Temporal logic determines that current sleep state has switched if meeting.
Dormant sequential logic should be from waking state to light sleep state, and then light sleep state is to deeply
Layer sleep state, then deep sleep state arrives light sleep state, last light sleep state to waking state, Yong Hugen again
According to itself sleep habit, a certain dormant temporal logic is set, such as morning 3-4 point is mostly the deep sleep of ordinary user
State first determines whether the shallow-layer when microprocessor monitors to sleep state enter deep sleep state from light sleep state
How long did it last before sleep state, if the duration is more than preset time, then further judges whether current time is insulting
In the temporal logic of morning 3-4 point, i.e., sequential logic it is whether corresponding with temporal logic on, if so, determine sleep state cut
It changes, waits interference of the chance events to monitoring to reduce to get up in the night to urinate and wake up with a start.
Preferably, the RF baseband radio module includes baseband module, radio-frequency module and antenna；
The control signal of generation is switched to electric signal and is sent to the baseband module by the processor, and the baseband module will
The intrinsic baseband signal of electric signal is sent to the radio-frequency module, and the radio-frequency module is by modulates baseband signals at radiofrequency signal
And it is sent to the antenna, radiofrequency signal is sent to the IOT network module by the antenna.
For radio-frequency module by modulates baseband signals at radiofrequency signal, which is Bluetooth RF signal or wifi radio frequency
Signal is then sent to antenna.
Preferably, the electrode includes first electrode and second electrode, and the first electrode is arranged in the eyeshade and volume
The contact position of skin after the eyeshade and ear is arranged in the contact position of scalp skin, the second electrode.
Potential difference is formed between two electrodes, the effect of signal extraction can be enhanced.
Preferably, the household appliance control system further includes smart home device, the RF baseband radio module, executes
Module and functional module, the antenna send control signals to the IOT network module, and the IOT network module will control
Signal is sent to the RF baseband radio module, and the RF baseband radio module sends control signals to the execution module,
The execution module generates control instruction according to control signal, and is sent to the functional module, and the functional module is according to control
System instruction manipulates the smart home device.
Microprocessor generates control signal according to dormant switching, which, which contains, sets smart home
Standby control instruction is converted into control instruction by execution module, and functional module is facilitated to manipulate intelligence according to control instruction
Home equipment.Such as the temperature of air-conditioning, humidifier is controlled, temperature and humidity in real-time regulation room wakes up or closes curtain, TV
Equal household electrical appliances.
Preferably, frequency difference is changed over time according to voltage, in four wave bands being divided into, each band setting has correspondence
Bandpass filter.The effect of bandpass filter is to come out the signal extraction in each wave band.
Preferably, the eeg signal obtains module and amplifies processing to voltage signal by signal amplifier, only
The amplitude for changing voltage signal, does not change the frequency and waveform of voltage signal.
The technical principle of the invention is described above in combination with a specific embodiment.These descriptions are intended merely to explain of the invention
Principle, and shall not be construed in any way as a limitation of the scope of protection of the invention.Based on the explanation herein, the technology of this field
Personnel can associate with other specific embodiments of the invention without creative labor, these modes are fallen within
Within protection scope of the present invention.
Claims (10)
1. one kind is based on dormant intelligent home control system, including pillow and eyeshade, it is characterised in that: connect including brain machine
Mouth, IOT network module and household appliance control system；The brain-computer interface includes the electrode being nested in the eyeshade, integrates
Eeg signal in the pillow obtains module, signal processing module, microprocessor and RF baseband radio module；
The electrode is for detecting and acquiring eeg signal；The eeg signal obtains module for obtaining the electrode inspection
It surveys and is sent to the signal processing module；The frequency information that the signal processing module is used to extract in eeg signal is concurrent
It send to the microprocessor；The microprocessor is used to send corresponding control signal to the RF base band according to frequency information and penetrate
Frequency module；The RF baseband radio module is for sending control signals to the IOT network module；The IOT network module
It is connected to the brain-computer interface and household appliance control system through wireless communication；The household appliance control system according to
Control signal makes control operation to household electrical appliances.
2. a kind of according to claim 1 be based on dormant intelligent home control system, it is characterised in that:
The electrode is used for brain wave when detecting brain activity and acquires the voltage signal of brain wave, and voltage signal is transmitted
Module is obtained to the eeg signal, the eeg signal obtains module and amplifies processing to voltage signal and will amplify
Treated, and voltage signal is transmitted to the signal processing module, and the signal processing module carries out feature to voltage signal and mentions
It takes, extracts frequency information and signal strength information, and frequency information and signal strength information are fed back into the microprocessor,
The microprocessor judges whether sleep state switches according to actual frequency information and signal strength information, raw according to judging result
At control signal, it is then forwarded to the RF baseband radio module, the IOT network is sent to by the RF baseband radio module
Module.
3. a kind of according to claim 1 be based on dormant intelligent home control system, it is characterised in that:
The signal processing module carries out feature extraction to the voltage signal of brain wave, specifically includes:
The signal processing module extracts actual frequency letter to the voltage signal for belonging to clutter in the voltage signal of brain wave
Breath, the difference of frequency is changed over time according to voltage, is divided into four wave bands, the θ wave band of δ wave band, 4-7Hz including 0.5-3Hz,
The α wave band of 8-13Hz and the beta band of 14-30Hz.
4. a kind of according to claim 3 be based on dormant intelligent home control system, it is characterised in that:
The frequency information and signal strength information that the microprocessor is fed back according to the signal processing module obtain four wave bands
Signal voltage it is strong and weak, select the main band signal of current most strong voltage, and sleep shape is judged according to the intensity of main band signal
State；
If the main band strength highest of α wave band and/or beta band, current sleep state is waking state；
If the main band strength highest of θ wave band, current sleep state is light sleep state；
If the main band strength highest of δ wave band, current sleep state is deep sleep state.
5. a kind of according to claim 4 be based on dormant intelligent home control system, it is characterised in that:
The microprocessor determines whether sleep state switches according to the duration of current main band signal；
It specifically includes, when monitoring that the highest wave band of main band strength changes, the main band signal before judging variation is held
Whether the continuous time is more than preset time, if being less than preset time, is determined still in current sleep state；If main band signal
Duration be more than preset time, then further judge whether main band signal meets dormant sequential logic and time
Logic determines that current sleep state has switched if meeting.
6. a kind of according to claim 2 be based on dormant intelligent home control system, it is characterised in that:
The RF baseband radio module includes baseband module, radio-frequency module and antenna；
The control signal of generation is switched to electric signal and is sent to the baseband module by the processor, and the baseband module is by telecommunications
Number intrinsic baseband signal is sent to the radio-frequency module, and the radio-frequency module is concurrent at radiofrequency signal by modulates baseband signals
It send to the antenna, radiofrequency signal is sent to the IOT network module by the antenna.
7. a kind of according to claim 1 be based on dormant intelligent home control system, it is characterised in that:
The electrode includes first electrode and second electrode, and the contact of the eyeshade with forehead skin is arranged in the first electrode
The contact position of skin after the eyeshade and ear is arranged in place, the second electrode.
8. a kind of according to claim 1 be based on dormant intelligent home control system, it is characterised in that:
The household appliance control system further includes smart home device, the RF baseband radio module, execution module and function
Module, the antenna send control signals to the IOT network module, and the IOT network module is sent control signals to
The RF baseband radio module, the RF baseband radio module send control signals to the execution module, the execution mould
Root tuber generates control instruction according to control signal, and is sent to the functional module, and the functional module is manipulated according to control instruction
The smart home device.
9. a kind of according to claim 2 be based on dormant intelligent home control system, it is characterised in that:
Frequency difference is changed over time according to voltage, in four wave bands being divided into, each band setting has corresponding bandpass filtering
Device.
10. a kind of according to claim 1 be based on dormant intelligent home control system, it is characterised in that:
The eeg signal obtains module and amplifies processing to voltage signal by signal amplifier, only changes voltage signal
Amplitude, do not change the frequency and waveform of voltage signal.
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| CN201910836577.9A CN110488628A (en) | 2019-09-05 | 2019-09-05 | One kind being based on dormant intelligent home control system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910836577.9A CN110488628A (en) | 2019-09-05 | 2019-09-05 | One kind being based on dormant intelligent home control system |
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| CN110488628A true CN110488628A (en) | 2019-11-22 |
Family
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| CN115426212A (en) * | 2022-09-01 | 2022-12-02 | 深圳市心流科技有限公司 | Intelligent device adaptability adjusting method based on sleep state and terminal device |
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