CN106842972A - The forecast Control Algorithm and system of a kind of intelligent home device - Google Patents
The forecast Control Algorithm and system of a kind of intelligent home device Download PDFInfo
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- CN106842972A CN106842972A CN201710150184.3A CN201710150184A CN106842972A CN 106842972 A CN106842972 A CN 106842972A CN 201710150184 A CN201710150184 A CN 201710150184A CN 106842972 A CN106842972 A CN 106842972A
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- 238000006243 chemical reaction Methods 0.000 claims abstract description 26
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- 238000000034 method Methods 0.000 claims abstract description 10
- 230000003542 behavioural effect Effects 0.000 claims description 9
- 230000002123 temporal effect Effects 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 claims description 3
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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Abstract
The invention provides the forecast Control Algorithm and system of a kind of intelligent home device, method comprises the following steps：（1）The ultrasound data that collection enters after the frequency conversion produced by the moving object in region to be controlled；（2）The motion state of moving object is obtained according to the ultrasound data after frequency conversion, and then judges the movement tendency of moving object；（3）According to the movement tendency, binding time information and positional information, the behavior to moving object are predicted, and acquisition predicts the outcome；（4）Generation PREDICTIVE CONTROL instruction is transmitted to corresponding intelligent home device, realizes the PREDICTIVE CONTROL to intelligent home device.The present invention improves Based Intelligent Control efficiency, saves Based Intelligent Control cost, with good promotion prospect.
Description
Technical field
Pass through Doppler effect conversed analysis user the present invention relates to technical field of intelligent home control, more particularly to one kind
Action trend when moving indoors, binding time information, a kind of intelligence of the generation to the PREDICTIVE CONTROL instruction of intelligent home device
The forecast Control Algorithm and system of energy home equipment.
Background technology
With continuing to develop for electronic technology, the smart home based on electronic technology becomes increasingly popular in the life of people.
Smart home can be comprising multiple intelligent home devices, such as intelligent electric fan, intelligent air condition and intelligent lamp.User can be by cloud
Server is controlled and manages these intelligent home devices, to improve intelligent living standard.With smart home technology not
The disconnected progressive and continuous pursuit to quality of the life, the smart home as one of Internet of Things application will turn into following household
Grown form, with wide market application foreground.
Smart home is with house as platform, using comprehensive wiring technology, advanced computer technology, network service skill
Art, security precautions technology, automatic control technology, audio frequency and video technology, the relevant facility of life staying idle at home is combined,
Build the management system of efficient housing facilities and family's schedule affairs, lifting house security, convenience, comfortableness, art
Property, and realize the living environment of environmental protection and energy saving.
Several scenes pattern can be previously provided with smart home, every kind of scene mode can be comprising multiple controlled intelligence
Home equipment, and each control information of controlled intelligent home device in the scene mode.User can be in smart home
Control terminal (such as mobile phone) in, the scene mode that needs to use of selection, control terminal then can be to the server of smart home
Send to should scene mode unlatching request, the server can determine that the corresponding controlled smart home of the scene mode sets
It is standby, and each control information of controlled intelligent home device in the scene mode, and then set to these controlled smart homes
Back-up does not send control instruction.For example, scene one is air-conditioning unlatching, window closing, lamp unlatching, and after user's selection scene one, clothes
Business device can send open command, send out code to window to air-conditioning, and open command is sent to lamp.But this kind of mode needs
User carries out the operation of scene selection manually.
Because smart home is increasingly becoming a kind of trend, various types of hardware business constantly releases all kinds of commodity.As to intelligence
The one side of the control of the relatively low home equipment of change level, current indoor action cognition technology uses infrared or laser
Linear probe mode obtain trigger condition, this kind of mode carries out unnecessary operation, such as sounding, special limb action without user
Deng, you can the equipment relatively low to some intelligent levels is controlled, such as lamp, musical instruments.But it is based on linear probe
Detection mode, needing to lay substantial amounts of probe when Motion prediction is carried out could obtain continuous trend.
Accordingly, it would be desirable to be improved to the PREDICTIVE CONTROL mode of existing intelligent home device.
The content of the invention
Need laying a large amount of when Motion prediction is carried out present in PREDICTIVE CONTROL for existing intelligent home device
Probe could obtain the technical problem of continuous trend, present invention aim at providing a kind of pre- observing and controlling of intelligent home device
Method and system processed, realize using a small amount of probe transmitting ultrasonic wave and obtain the back wave in wide scope, with reference to moving object
The information such as the Doppler effect in acoustic wavefield, measuring and calculating user movement trend, and binding time, position, to the next walking of user
It is dynamic to be predicted, and generate the anticipation instruction of intelligent home device.
To achieve the above object, the invention provides a kind of forecast Control Algorithm of intelligent home device, including following step
Suddenly：(1) ultrasound data that collection enters after the frequency conversion produced by the moving object in region to be controlled；(2) after according to frequency conversion
Ultrasound data obtains the motion state of moving object, and then judges the movement tendency of moving object；(3) become according to the motion
Gesture, binding time information and positional information, the behavior to moving object are predicted, and acquisition predicts the outcome；(4) pre- observing and controlling is generated
Instruction processed is transmitted to corresponding intelligent home device, realizes the PREDICTIVE CONTROL to intelligent home device.
To achieve the above object, present invention also offers a kind of Predictive Control System of intelligent home device, including at least
One data acquisition module, movement tendency determination module, predict the outcome acquisition module and PREDICTIVE CONTROL module：At least one number
According to acquisition module, for gathering the ultrasound data after the frequency conversion produced by the moving object for entering region to be controlled；The fortune
Dynamic tendency judgement module, the motion state for obtaining moving object according to the ultrasound data after frequency conversion, and then judge motion
The movement tendency of object；The acquisition module that predicts the outcome, for being believed according to the movement tendency, binding time information and position
Breath, the behavior to moving object is predicted, and acquisition predicts the outcome；The PREDICTIVE CONTROL module, refers to for generating PREDICTIVE CONTROL
Order is transmitted to corresponding intelligent home device, realizes the PREDICTIVE CONTROL to intelligent home device.
The advantage of the invention is that：The PREDICTIVE CONTROL mode of intelligent home device of the present invention, using a small amount of ultrasound
Ripple emission source launches ultrasonic wave (a ultrasonic wave emission source can be only set in each subregion), and obtains anti-in wide scope
Ejected wave；Doppler effect with reference to user in acoustic wavefield, obtains its movement tendency；And the information such as binding time, position, to
Family next step action is predicted, and generates the PREDICTIVE CONTROL instruction to intelligent home device, Based Intelligent Control intelligent home device
Next step operation.Carry out the operation of scene selection manually without user, it is a large amount of also without laying when Motion prediction is carried out
Ultrasonic wave emission source could obtain continuous trend, improve Based Intelligent Control efficiency, Based Intelligent Control cost is saved, with good
Good promotion prospect.
Brief description of the drawings
Fig. 1, the schematic flow sheet of the forecast Control Algorithm of intelligent home device of the present invention；
Fig. 2, the movement tendency of moving object of the present invention judges the schematic diagram of an embodiment.
Fig. 3, the schematic diagram of the embodiment of column storage table one of the present invention；
Fig. 4, the schematic diagram of the middle embodiment of house house type figure one that predicts the outcome of the present invention.
Specific embodiment
The forecast Control Algorithm and system of a kind of intelligent home device for providing the present invention below in conjunction with the accompanying drawings are done in detail
Explanation.
With reference to Fig. 1, the schematic flow sheet of the forecast Control Algorithm of intelligent home device of the present invention.Methods described bag
Include following steps：S11：The ultrasound data that collection enters after the frequency conversion produced by the moving object in region to be controlled；S12：Root
The motion state of moving object is obtained according to the ultrasound data after frequency conversion, and then judges the movement tendency of moving object；S13：Root
According to the movement tendency, binding time information and positional information, the behavior to moving object are predicted, and acquisition predicts the outcome；
S14：Generation PREDICTIVE CONTROL instruction is transmitted to corresponding intelligent home device, realizes the PREDICTIVE CONTROL to intelligent home device.With
Lower combination accompanying drawing is given and explained in detail.
S11：The ultrasound data that collection enters after the frequency conversion produced by the moving object in region to be controlled.
Specifically, step S11 is further included：At least ultrasonic wave hair is set in each subregion in region to be controlled
Penetrate source and form acoustic wavefield, by after the frequency conversion that corresponding receiver is gathered produced by the moving object into acoustic wavefield respectively
Ultrasound data.
Ultrasonic data acquisition can use prior art, predominantly in each son of region to be controlled (such as premises)
An at least ultrasonic wave emission source (probe) is set in region, acoustic wavefield is formed with region to be controlled.Ultrasonic wave runs into wall
Or back wave can be generated after object, back wave is gathered by corresponding receiver.Because there is Doppler effect, when moving object is entered
After entering acoustic wavefield, its mobile status can change the frequency of former back wave, and the ultrasound data after these frequency conversions is received accordingly
Device is gathered respectively.
S12：The motion state of moving object is obtained according to the ultrasound data after frequency conversion, and then judges the fortune of moving object
Dynamic trend.
Specifically, step S12 is further included：Obtained according to the ultrasound data after the frequency conversion that each receiver is gathered
Moving object, by comparing the motion state acquired in multiple receivers, judges fortune relative to the motion state of corresponding receiver
The movement tendency of animal body.
Wherein, moving object is obtained in step S12 and further passes through receiver relative to the motion state of corresponding receiver
Ultrasound data after the frequency conversion for being gathered, and according to the motion state that formula backstepping goes out moving object be close to emission source or
Away from emission source：
The frequency relation of moving object and emission source is：
Wherein, the frequency that f ' is collected by receiver；F is the original transmitted frequency of emission source；V is the traveling of ultrasonic wave
Speed；v0Be the translational speed of moving object, if close to emission source front oeprator for+number, otherwise then for-number；vsIt is hair
Penetrate the translational speed in source, if close to moving object front oeprator for-number, otherwise then for+number.
Because the translational speed of emission source is constant, therefore vsIt is 0, and f ' and f are data measured, therefore, whenDuring ＞ 1,
The motion state of moving object is judged as away from emission source,When, the motion state of moving object is judged as hair is approached
Penetrate source.
With reference to Fig. 2, the movement tendency of moving object of the present invention judges the schematic diagram of an embodiment.In the present embodiment
In, during user 23 moves to second area 22 from first area 21, user 23 is relative to being arranged on first area 21
First information source 211And constantly increasing；User 23 is relative to the second information source for being arranged on second area 22
221And constantly reducing.Therefore can inversely judge, the motion shape of user 23 when there is such change
State is to move to second area 22 from first area 21, that is, realize that track is calculated.
S13：According to the movement tendency, binding time information and positional information, the behavior to moving object are predicted,
Acquisition predicts the outcome.
Specifically, movement tendency described in step S13, the temporal information and positional information pass through column storage table
(the column storage table in similar hadoop) storage；The row being further stored with to moving object in the column storage table
To be predicted corresponding behavior outcome.
With reference to Fig. 3, the schematic diagram of the embodiment of column storage table one of the present invention.In the present embodiment, time letter
Breath includes date and specific time period.Date column records " Sunday, Monday, Tuesday, Wednesday, star in order
Phase four, Friday, Saturday "；Time column can be by 24 hours systems are by time mean allocation and charge to, such as " 00:00、
00:10、00:20、00:30、……”；Position column record " toilet, bedroom, dining room, parlor ... "；Movement tendency
Column is recorded " leave, approach "；Behavior outcome column is according to house intelligent home device situation and Based Intelligent Control need
Will, record " go to toilet need turn on light, go to kitchen need turn on light, parlor music open ... ".
When behavior to moving object is predicted, in the column storage table, by movement tendency, temporal information and
Positional information type carries out examination according to customized priority, and the immediate behavior outcome that will be obtained is used as predicting the outcome.
A kind of screening results are shown in Fig. 3：Time：Monday 00:30th, position：Bedroom, state：Leave, in the column storage table
In carry out the immediate behavior outcome of examination acquisition and be：Going to toilet needs to turn on light.
With reference to Fig. 4, the schematic diagram of the middle embodiment of house house type figure one that predicts the outcome of the present invention.With reference to the present embodiment
Shown house house type figure, when the behavior to moving object is predicted, in the column storage table, by movement tendency,
Temporal information and positional information type carry out examination according to customized priority, will obtain immediate behavior outcome as
Predict the outcome.For example, the time：Monday 3:00th, position：North is sleeping, state：Leave, examination is carried out in the column storage table
Obtain immediate behavior outcome be：Going to toilet needs to turn on light；Time：Tuesday 18:00th, position：Entry, state：Connect
Closely, the immediate behavior outcome for examination acquisition being carried out in the column storage table is：Going to kitchen needs to turn on light.
Preferably, step S13 is further included：Obtain the behavioural habits data of moving object；So as to according to the motion
Trend, binding time information, positional information and behavioural habits data, the behavior to moving object is predicted, and obtains prediction
As a result.That is, the behavioural habits data of moving object can be obtained by big data mode, for prediction provide with further reference to,
So as to optimize the PREDICTIVE CONTROL to intelligent home device.For example：Time：Wednesday 22:00th, position：Toilet, state：Leave, OK
To be accustomed to corresponding track：North is sleeping, and the immediate behavior outcome that examination acquisition is carried out in the column storage table is：Defend
Being turned off the light between life, north is sleeping to turn on light；Time：Saturday 7:30th, position：Toilet, state：Close, the corresponding track of behavioural habits：Dining room,
The immediate behavior outcome that examination acquisition is carried out in the column storage table is：Parlor music is opened.
S14：Generation PREDICTIVE CONTROL instruction is transmitted to corresponding intelligent home device, realizes the prediction to intelligent home device
Control.
Specifically, the instruction of PREDICTIVE CONTROL described in step S14 is by the interface protocol format transmission of standard to corresponding intelligence
Can home equipment.
The forecast Control Algorithm of intelligent home device of the present invention, is launched using a small amount of ultrasonic wave emission source (probe)
Ultrasonic wave (can only set a ultrasonic wave emission source) in each subregion, and obtain the back wave in wide scope；With reference to
Doppler effect of the family in acoustic wavefield, obtains its movement tendency；And the information such as binding time, position, to the next walking of user
It is dynamic to be predicted, and the PREDICTIVE CONTROL instruction to intelligent home device is generated, the next step behaviour of Based Intelligent Control intelligent home device
Make.The operation of scene selection is carried out manually without user, when Motion prediction is carried out also without the substantial amounts of probe ability of laying
Continuous trend is obtained, Based Intelligent Control efficiency is improve, Based Intelligent Control cost is saved, with good promotion prospect.
Become present invention also offers a kind of Predictive Control System of intelligent home device, including data acquisition module, motion
Gesture determination module, predict the outcome acquisition module and PREDICTIVE CONTROL module：The data acquisition module, enters to be controlled for gathering
The ultrasound data after frequency conversion produced by the moving object in region processed；The movement tendency determination module, for according to frequency conversion
Ultrasound data afterwards obtains the motion state of moving object, and then judges the movement tendency of moving object；It is described to predict the outcome
Acquisition module, for according to the movement tendency, binding time information and positional information, is carried out pre- to the behavior of moving object
Survey, acquisition predicts the outcome；The PREDICTIVE CONTROL module, transmits to corresponding smart home and sets for generating PREDICTIVE CONTROL instruction
It is standby, realize the PREDICTIVE CONTROL to intelligent home device.
Ultrasonic data acquisition can use prior art, predominantly in each son of region to be controlled (such as premises)
An at least ultrasonic wave emission source (probe) is set in region, acoustic wavefield is formed with region to be controlled.Ultrasonic wave runs into wall
Or back wave can be generated after object, back wave is gathered by corresponding receiver.Because there is Doppler effect, when moving object is entered
After entering acoustic wavefield, its mobile status can change the frequency of former back wave, and the ultrasound data after these frequency conversions is by corresponding data
Acquisition module (such as receiver) is gathered respectively.
The movement tendency determination module, the ultrasonic wave after the frequency conversion for further being gathered according to each data acquisition module
Data acquisition moving object is obtained relative to the motion state of corresponding data acquisition module by comparing multiple data acquisition modules
The motion state for taking, judges the movement tendency of moving object.
Wherein, the movement tendency determination module obtains motion state of the moving object relative to corresponding data acquisition module
It is further：Ultrasound data after the frequency conversion that data acquisition module is gathered, and moving object is gone out according to formula backstepping
Motion state be also to be remote from emission source close to emission source：
The frequency relation of moving object and emission source is：
Wherein, the frequency that f ' is collected by receiver；F is the original transmitted frequency of emission source；V is the traveling of ultrasonic wave
Speed；v0Be the translational speed of moving object, if close to emission source front oeprator for+number, otherwise then for-number；vsIt is hair
Penetrate the translational speed in source, if close to moving object front oeprator for-number, otherwise then for+number.
Because the translational speed of emission source is constant, therefore vsIt is 0, and f ' and f are data measured, therefore, whenDuring ＞ 1,
The motion state of moving object is judged as away from emission source,When, the motion state of moving object is judged as hair is approached
Penetrate source.
The acquisition module that predicts the outcome is further by the movement tendency, the temporal information and positional information by row
Data table memory is stored, and to be further stored with the column storage table and be predicted corresponding row to the behavior of moving object
It is result.When behavior to moving object is predicted, in the column storage table, by movement tendency, temporal information and
Positional information type carries out examination according to customized priority, and the immediate behavior outcome that will be obtained is used as predicting the outcome.
Preferably, the Predictive Control System of described intelligent home device, further includes behavioural habits data acquisition mould
Block：Behavioural habits data for obtaining moving object.The acquisition module that predicts the outcome further according to the movement tendency,
Binding time information, positional information and behavioural habits data, the behavior to moving object are predicted, and acquisition predicts the outcome.
That is, the behavioural habits data of moving object can be obtained by big data mode, for prediction is provided with further reference to so that excellent
Change the PREDICTIVE CONTROL to intelligent home device.
Specifically, the PREDICTIVE CONTROL instruction of the PREDICTIVE CONTROL module generation, by the interface protocol format transmission of standard
To corresponding intelligent home device, the PREDICTIVE CONTROL to intelligent home device is realized.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
Member, under the premise without departing from the principles of the invention, can also make some improvements and modifications, and these improvements and modifications also should be regarded as
Protection scope of the present invention.
Claims (10)
1. a kind of forecast Control Algorithm of intelligent home device, it is characterised in that comprise the following steps：
(1) ultrasound data that collection enters after the frequency conversion produced by the moving object in region to be controlled；
(2) motion state of moving object is obtained according to the ultrasound data after frequency conversion, and then judges that the motion of moving object becomes
Gesture；
(3) according to the movement tendency, binding time information and positional information, the behavior to moving object are predicted, and obtain
Predict the outcome；
(4) generation PREDICTIVE CONTROL instruction is transmitted to corresponding intelligent home device, realizes the PREDICTIVE CONTROL to intelligent home device.
2. method according to claim 1, it is characterised in that step (1) is further included：In each of region to be controlled
An at least ultrasonic wave emission source is set in subregion and forms acoustic wavefield, gathered respectively into acoustic wavefield by corresponding receiver
Moving object produced by frequency conversion after ultrasound data.
3. method according to claim 2, it is characterised in that step (2) is further included：Adopted according to each receiver
Ultrasound data after the frequency conversion of collection obtains motion state of the moving object relative to corresponding receiver, by comparing multiple reception
Motion state acquired in device, judges the movement tendency of moving object.
4. method according to claim 3, it is characterised in that moving object is obtained in step (2) relative to correspondingly received
The motion state of device goes out moving object further by the ultrasound data after the frequency conversion that receiver is gathered according to formula backstepping
The motion state of body is also to be remote from emission source close to emission source：
The frequency relation of moving object and emission source is：
Wherein, the frequency that f ' is collected by receiver；
F is the original transmitted frequency of emission source；
V is the gait of march of ultrasonic wave；
v0Be the translational speed of moving object, if close to emission source front oeprator for+number, otherwise then for-number；
vsBe the translational speed of emission source, if close to moving object front oeprator for-number, otherwise then for+number；
Because the translational speed of emission source is constant, therefore vsIt is 0, and f ' and f are data measured,
Therefore, whenWhen, the motion state of moving object is judged as away from emission source,When, judge moving object
The motion state of body is close to emission source.
5. method according to claim 1, it is characterised in that movement tendency described in step (3), the temporal information and
Positional information is stored by column storage table, is further stored with the column storage table and the behavior of moving object is entered
The corresponding behavior outcome of row prediction.
6. method according to claim 5, it is characterised in that step (3) is further included：Behavior to moving object is entered
During row prediction, in the column storage table, by movement tendency, temporal information and positional information type according to customized excellent
First level carries out examination, and the immediate behavior outcome that will be obtained is used as predicting the outcome.
7. method according to claim 1, it is characterised in that step (3) is further included：Obtain the behavior of moving object
Custom data；According to the movement tendency, binding time information, positional information and behavioural habits data, to moving object
Behavior is predicted, and acquisition predicts the outcome.
8. method according to claim 1, it is characterised in that the instruction of PREDICTIVE CONTROL described in step (4) is by standard
Interface protocol format transmission is to corresponding intelligent home device.
9. a kind of Predictive Control System of intelligent home device, it is characterised in that become including an at least data acquisition module, motion
Gesture determination module, predict the outcome acquisition module and PREDICTIVE CONTROL module：
An at least data acquisition module, enters super after the frequency conversion produced by the moving object in region to be controlled for collection
Sonic data；
The movement tendency determination module, the motion state for obtaining moving object according to the ultrasound data after frequency conversion, enters
And judge the movement tendency of moving object；
The acquisition module that predicts the outcome, for according to the movement tendency, binding time information and positional information, to moving object
The behavior of body is predicted, and acquisition predicts the outcome；
The PREDICTIVE CONTROL module, transmits to corresponding intelligent home device for generating PREDICTIVE CONTROL instruction, realizes to intelligence
The PREDICTIVE CONTROL of home equipment.
10. system according to claim 9, it is characterised in that the movement tendency, the temporal information and positional information
Stored by column storage table, being further stored with the column storage table, it is right that the behavior of moving object is predicted
The behavior outcome answered.
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| CN108279410A (en) * | 2018-01-22 | 2018-07-13 | 成都清轻信息技术有限公司 | Smart lock unlocking opportunity determination method based on sound field movement and apart from detection and system |
| CN108398681A (en) * | 2018-02-08 | 2018-08-14 | 深圳迈睿智能科技有限公司 | Detecting system and detection method and beam emitter |
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| CN109597312A (en) * | 2018-11-26 | 2019-04-09 | 北京小米移动软件有限公司 | Speaker control method and device |
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| CN110543103A (en) * | 2019-08-02 | 2019-12-06 | 安徽泛米科技有限公司 | Automatic control method for smart home |
| CN110543102A (en) * | 2018-05-29 | 2019-12-06 | 珠海格力电器股份有限公司 | method and device for controlling intelligent household equipment and computer storage medium |
| CN112269322A (en) * | 2020-11-23 | 2021-01-26 | 深圳市欧瑞博科技股份有限公司 | Awakening method and device of intelligent device, electronic device and medium |
| CN113031460A (en) * | 2021-05-21 | 2021-06-25 | 中家院（北京）检测认证有限公司 | Smart home system and method based on human-living scene intelligent perception analysis |
| CN114035445A (en) * | 2021-12-10 | 2022-02-11 | 电子科技大学成都学院 | Intelligent household equipment control method, device and system based on indoor positioning |
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