CN115191772A - Intelligent sofa adjusting system with memory function - Google Patents
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- 230000006386 memory function Effects 0.000 title claims abstract description 13
- 238000007781 pre-processing Methods 0.000 claims description 14
- 239000000284 extract Substances 0.000 claims description 12
- 230000010365 information processing Effects 0.000 claims description 7
- 238000000034 method Methods 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 230000002650 habitual effect Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 238000013473 artificial intelligence Methods 0.000 description 2
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- 210000001624 hip Anatomy 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C17/00—Sofas; Couches; Beds
- A47C17/86—Parts or details for beds, sofas or couches only not fully covered in a single one of the sub-groups A47C17/02, A47C17/04, A47C17/38, A47C17/52, A47C17/64, or A47C17/84; Drawers in or under beds
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C17/00—Sofas; Couches; Beds
- A47C17/04—Seating furniture, e.g. sofas, couches, settees, or the like, with movable parts changeable to beds; Chair beds
- A47C17/13—Seating furniture having non-movable backrest changeable to beds by increasing the available seat part, e.g. by drawing seat cushion forward
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C31/00—Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
- A47C31/008—Use of remote controls
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47C—CHAIRS; SOFAS; BEDS
- A47C31/00—Details or accessories for chairs, beds, or the like, not provided for in other groups of this subclass, e.g. upholstery fasteners, mattress protectors, stretching devices for mattress nets
- A47C31/12—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons
- A47C31/126—Means, e.g. measuring means for adapting chairs, beds or mattresses to the shape or weight of persons for chairs
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Abstract
The invention discloses an intelligent sofa adjusting system with a memory function, relates to the technical field of intelligent home furnishing, and solves the technical problem that an intelligent sofa cannot be adjusted according to the use habits and ages of different home persons.
Description
Technical Field
The invention belongs to the technical field of intelligent home furnishing, and particularly relates to an intelligent sofa adjusting system with a memory function.
Background
The intelligent home is characterized in that a house is used as a platform, facilities related to home life are integrated by utilizing a comprehensive wiring technology, a network communication technology, a safety precaution technology, an automatic control technology and an audio and video technology, and the existing intelligent sofa belongs to one type of intelligent home;
the invention discloses an intelligent sofa with a patent publication number of CN113433834A, and relates to the field of intelligent home control. This intelligence sofa and intelligent house control system includes temperature transfer controlling part, massage piece and lift post, and the upper surface of main part is provided with temperature transfer controlling part, and the side of main part is provided with the massage piece, and the lower fixed surface of main part is connected with the lift post. This intelligence sofa sets up temperature control spare respectively in the sofa, massage spare and intelligent interactive piece, make the sofa have intelligent control temperature, massage and other intelligent house connections back as required, mounting panel connection control computer, realize temperature regulation from mutual handrail direct control sofa, human massage and other amusement or official working class functions, the relative main part of back rotates certain angle, make this device adaptation sit upright, sit different user modes such as crouching and flat crouching, sofa service function has been extended, also can solve the emergency situation that furniture lacks in the family.
Along with intelligent house's popularization gradually, the intelligence sofa just also can adjust the temperature through outside temperature, makes the personnel of family obtain a preferred use and experiences, but present intelligence sofa in specific use, still has following not enough to improve:
1. the intelligent sofa has no memory function, and can not be adjusted in advance according to the use habits of different household personnel, so that the intelligent sofa brings good use experience to the household personnel; 2. the hardness of the intelligent sofa can not be adjusted according to the ages of different household personnel.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; therefore, the invention provides an intelligent sofa adjusting system with a memory function, which is used for solving the technical problem that the intelligent sofa cannot be adjusted according to the use habits of different household personnel and the ages of the different household personnel.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides an intelligent sofa adjusting system with a memory function, which includes an information recording end, a data obtaining end, a processing center and a control terminal;
the processing center comprises a data preprocessing unit, an input information processing unit, a storage unit and a parameter comparison unit;
the information recording end is used for recording personnel information of different household personnel and transmitting the recorded personnel information to the processing center, wherein the personnel information comprises voice information and personal identity information, and the personal identity information comprises the name and age of the corresponding person;
the input information processing unit in the processing center extracts sound waves and sound intensity data in the voice information of different household personnel, obtains sound pressure parameters of the different household personnel through the sound intensity data, combines the sound wave data and the sound pressure parameters to obtain voice characteristic values of the different household personnel, binds the processed voice characteristic values with personal identity information to generate a data packet to be extracted, and transmits the data packet to be extracted to the storage unit for storage;
the storage unit is internally provided with a first elastic data packet and a second elastic data packet;
the data acquisition end is used for receiving the voice command of the external household personnel and transmitting the voice command to the processing center;
the data preprocessing unit receives and processes the voice command, extracts and processes sound waves and sound intensity parameters in the voice command to obtain another group of voice characteristic values, conveys the other group of voice characteristic values into the parameter comparison unit, compares the other group of voice characteristic values with the voice characteristic values by the parameter comparison unit, extracts corresponding personal identity information and habit data packets after comparison is completed, conveys an acquisition command into the data preprocessing unit if no habit data packet exists, and acquires personal habit parameters of different family personnel according to the acquisition command and generates the habit data packets.
Preferably, the step of the processing center combining the sound wave data and the sound pressure parameter includes:
s1, converting acoustic parameters into an acoustic curve, matching the acoustic curve with an internal coordinate template, extracting turning points in the acoustic curve, and marking the turning points as Z i ，Z i =1, 2, \ 8230; \ 8230;, n, n is a positive integer, the vertical coordinate point value at which the turning point is located is extracted and marked as Sz i Wherein i represents different household personnel;
s2, adopt
Obtaining the filter parameter LB i Wherein
Is a correction factor, and has a value of 0.98563, wherein
For multiple sets of vertical coordinate values Sz i The mean value of (a);
s3, extracting sound intensity data and marking as SQ i By using SY i ＝SQ i Obtaining sound pressure data SY by multiplying C by J i Wherein C is the density of the medium and J is the speed of sound;
s4, filtering parameters LB i And sound pressure data SY i Performing merging treatment by adopting YY i ＝LB i ×C1+SY i Obtaining the voice characteristic value YY by x C2 i Wherein C1 and C2 are both preset fixed coefficient factors, and specific values are drawn up by operators according to experience;
s5, converting the voice characteristic value YY i And binding the data packet with the personal identity information to generate a data packet to be extracted, and transmitting the data packet to be extracted to a storage unit for storage.
Preferably, the step of receiving and processing the voice command by the data preprocessing unit is:
p1, obtaining another group of voice characteristic values by sound waves and sound intensity parameters in the voice instruction according to the same mode of the steps S1-S4;
p2, passing another group of voice characteristic value and voice characteristic valueYY i Comparing, extracting corresponding personal identity information when a comparison result exists, and not working when the comparison result does not exist;
p3, extracting the age of the corresponding person from the personal identity information, and marking the age as NL i Age NL i Comparing with the predetermined value X1 when NL i When X1 is ≦ X, a first adjustment instruction is generated, when NL i When the value is more than X1, generating a second adjusting instruction;
p4, extracting a first elastic data packet from the storage unit according to the first adjusting instruction, and extracting a second elastic data packet from the storage unit according to the second adjusting instruction;
p5, acquiring stress points of the sofa in real time, and changing the elasticity of the stress point area through the elasticity parameters in the elastic data packet;
p6, acquiring the lying angle parameter and the height parameter of the sofa in real time, and marking the lying angle parameter as TF ki Tagging height parameter as GD ji Wherein k represents different lie angle parameters and j represents different height parameters;
p61, lying angle parameter TF ki Is marked as T ki Extracting a plurality of durations T ki By the k value, the corresponding lying angle parameter TF is extracted ki And corresponding lying angle parameter TF ki Setting the angle to be a habitual lying angle;
p62, calculating height parameter GD ji Is marked by duration T ji Extracting a plurality of durations T ji By the value of j, the corresponding height parameter GD is extracted ji And corresponding height parameter GD ji Setting as a habit height;
and P7, binding the habit height and the habit lying angle to generate a habit data packet, transmitting the habit data packet to a storage unit for storage, and binding the habit data packet with corresponding family personnel through the value i.
Preferably, the control terminal is configured to receive the habit data packet and the elastic data packet sent by the processing center, perform parameter adjustment on the intelligent sofa, and when the habit data packet is not received, perform elastic adjustment on the stress point of the intelligent sofa only through elastic parameters in the elastic data packet.
Compared with the prior art, the invention has the beneficial effects that: through the inside age of individual identification information, extract the different elastic data package of memory cell, acquire outside voice command again, obtain still another group's voice characteristic value of corresponding personnel according to voice command, compare still another group's voice characteristic value with voice characteristic value, whether there is corresponding habit data package to look over, if do not exist, then acquire the personal habit parameter of different house personnel, generate the habit data package, and store to the memory cell in, when follow-up corresponding personnel used once more, directly extract corresponding habit data package, through control terminal, extract habit data package and elastic data package internal parameter and carry out parameter control to intelligent sofa, through memory function, promote the result of use that corresponds house personnel, and change inside soft or hard according to different house personnel's age.
Drawings
Fig. 1 is a schematic diagram of the principle of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present application provides an intelligent sofa adjusting system with a memory function, which includes an information recording end, a data obtaining end, a processing center and a control terminal;
the information recording end and the data acquisition end are electrically connected with the input end of the processing center, and the output end of the processing center is electrically connected with the input end of the control terminal;
the processing center comprises a data preprocessing unit, an input information processing unit, a storage unit and a parameter comparison unit, wherein the output end of the input information processing unit is electrically connected with the input end of the storage unit, the output end of the data preprocessing unit is electrically connected with the input end of the storage unit, the data preprocessing unit is bidirectionally connected with the parameter comparison unit, and the parameter comparison unit is bidirectionally connected with the storage unit;
the information recording end is used for recording personnel information of different household personnel and transmitting the recorded personnel information to the processing center, wherein the personnel information comprises voice information and personal identity information, the personal identity information comprises the name and age of the corresponding person, and the personal identity information needs to be automatically input by the external household personnel;
the inside information processing unit that types into of processing center, draw inside sound wave and the sound intensity data of the voice message of different house personnel, obtain the sound pressure parameter of different house personnel through the sound intensity data, merge the processing with sound wave data and sound pressure parameter, obtain the pronunciation eigenvalue of different house personnel, and bind the pronunciation eigenvalue that obtains with handling individual identification information, the data package that will be drawed is generated, and will wait to draw the data package and carry and save to the memory cell in, wherein the step of specific merging processing is:
s1, converting acoustic wave parameters into an acoustic wave curve (specifically, an acoustic wave conversion model is arranged in a processing center and directly converts the acoustic wave parameters into the acoustic wave curve, which is not described in more detail because the prior art is adopted here), matching the acoustic wave curve with an internal coordinate template, extracting turning points in the acoustic wave curve, and marking the turning points as Z i ，Z i =1, 2, \ 8230; \ 8230;, n, n is a positive integer, the vertical coordinate point value at which the turning point is located is extracted and marked as Sz i Wherein i represents different household personnel;
s2, adopt
Obtaining the filter parameter LB i In which
Is a correction factor, and has a value of 0.98563, wherein
For a plurality of groups of vertical coordinate point values Sz i The mean value of (a);
s3, extracting sound intensity data and marking as SQ i By using SY i ＝SQ i Obtaining sound pressure data SY by multiplying C by J i Wherein C is the density of the medium and J is the speed of sound;
s4, filtering parameters LB i And sound pressure data SY i Performing merging treatment by adopting YY i ＝LB i ×C1+SY i Obtaining the voice characteristic value YY by x C2 i Wherein, both C1 and C2 are preset fixed coefficient factors, and specific values are drawn up by operators according to experience;
s5, converting the voice characteristic value YY i And binding the data packet with the personal identity information to generate a data packet to be extracted, and transmitting the data packet to be extracted to a storage unit for storage.
The storage unit is internally provided with a first elastic data packet and a second elastic data packet, wherein the elastic parameters in the first elastic data packet and the second elastic data packet are determined by external personnel according to experience, the elastic parameters in the first elastic data packet are greater than the elastic parameters in the second elastic data packet, the internal elastic parameter interval of the first elastic data packet is 80-90E, specifically, the leg supporting elastic parameter in the first elastic data packet is 80E, the headrest head supporting elastic parameter is 90E, the supporting elastic parameter in the hip region is 85E, the lumbar supporting elastic parameter is 83E, the internal elastic parameter interval of the second elastic data packet is 50-60E, wherein E is elastic potential energy, specifically, the leg supporting elastic parameter in the second elastic data packet is 50E, the headrest head supporting elastic parameter is 60E, the supporting elastic parameter in the hip region is 55E, and the lumbar supporting elastic parameter is 53E;
the data acquisition end is used for receiving the voice instruction of the external household personnel and transmitting the voice instruction to the processing center (the voice instruction is a wake-up instruction, for example, the existing artificial AI (artificial intelligence) needs to wake up the corresponding voice instruction);
the data preprocessing unit is used for receiving and processing the voice command, extracting and processing sound waves and sound intensity parameters in the voice command to obtain another group of voice characteristic values, transmitting the another group of voice characteristic values into the parameter comparison unit, and the parameter comparison unit is used for comparing the another group of voice characteristic values with the voice characteristic value YY i Comparing, after the comparison, extracting corresponding personal identity information and habit data packets, if no habit data packet exists, transmitting an acquisition instruction to a data preprocessing unit, acquiring personal habit parameters of different household personnel by the data preprocessing unit according to the acquisition instruction, and generating the habit data packets, wherein the steps of specifically generating are as follows:
p1, obtaining another group of voice characteristic values by the sound waves and the sound intensity parameters in the voice instruction in the same way as the steps S1-S4;
p2, by combining another set of voice characteristic value and voice characteristic value YY i Comparing, wherein when a comparison result exists, corresponding personal identity information is extracted, and when the comparison result does not exist, the work is not carried out;
p3, extracting the age of the corresponding person from the personal identity information, and marking the age as NL i Age NL i Comparing with the predetermined value X1 when NL i When X1 is ≦ X, a first adjustment instruction is generated, when NL i When the age is more than 50 years old, a second adjusting instruction is generated (the value of X1 is 50, X1 is set to be 50, the elasticity of the sofa can be softer when the age is less than or equal to 50 years old, and the elasticity of the sofa can be harder when the age is more than 50 years old, so that discomfort caused when the old sits on the sofa is avoided;
p4, extracting a first elastic data packet from the storage unit according to the first adjusting instruction, and extracting a second elastic data packet from the storage unit according to the second adjusting instruction;
p5, acquiring stress points of the sofa in real time (specifically, the stress points are acquired by a stress sensor arranged in the sofa), and changing the elasticity of the stress point area through elastic parameters in an elastic data packet;
p6, obtaining the lying angle parameter and the height parameter of the sofa in real time (specifically, the lying angle parameter and the height parameter are obtained by an angle encoder and a height adjuster which are arranged inside the sofa), and marking the lying angle parameter as TF ki Tagging height parameter as GD ji Wherein k represents different lie angle parameters and j represents different height parameters;
p61, lying angle parameter TF ki Is marked as T ki Extracting a plurality of durations T ki By the k value, the corresponding lying angle parameter TF is extracted ki And corresponding lying angle parameter TF ki Setting the angle to be a habitual lying angle;
p62, height parameter GD ji Is marked as T ji Extracting a plurality of durations T ji By the value of j, the corresponding height parameter GD is extracted ji And corresponding height parameter GD ji Setting the height as a habit height;
and P7, binding the habit heights and the habit lying angles to generate a habit data packet, transmitting the habit data packet to a storage unit for storage, and binding the habit data packet with corresponding family personnel through the i value.
The control terminal is used for receiving the habit data packet and the elastic data packet sent by the processing center, carrying out parameter adjustment on the intelligent sofa, adjusting the height and the angle of the intelligent sofa according to the habit height and the habit lying angle of the habit data packet, adjusting the elasticity of the appointed stress point according to the elastic data packet, and when the habit data packet is not received, carrying out elastic adjustment on the stress point of the intelligent sofa only through the elastic parameters in the elastic data packet.
Part of data in the formula is obtained by removing dimension and taking the value to calculate, and the formula is obtained by simulating a large amount of collected data through software and is closest to a real situation; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or obtained through simulation of a large amount of data.
The working principle of the invention is as follows: the processing center processes the voice information of different household personnel in advance to obtain voice characteristic values of the different household personnel, binds the voice characteristic values with corresponding personal identity information to generate a data packet to be extracted, and transmits the data packet to be extracted to the storage unit for storage;
through the inside age of individual identification information, extract the different elastic data package of memory cell, acquire outside voice command again, obtain still another group's voice characteristic value of corresponding personnel according to voice command, compare still another group's voice characteristic value with voice characteristic value, whether there is corresponding habit data package to look over, if do not exist, then acquire the personal habit parameter of different house personnel, generate the habit data package, and store to the memory cell in, when follow-up corresponding personnel used once more, directly extract corresponding habit data package, through control terminal, extract habit data package and elastic data package internal parameter and carry out parameter control to intelligent sofa, through memory function, promote the result of use that corresponds house personnel, and change inside soft or hard according to different house personnel's age.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (4)
1. An intelligent sofa adjusting system with a memory function is characterized by comprising an information recording end, a data acquisition end, a processing center and a control terminal;
the processing center comprises a data preprocessing unit, an input information processing unit, a storage unit and a parameter comparison unit;
the information recording end is used for recording personnel information of different household personnel and transmitting the recorded personnel information to the processing center, wherein the personnel information comprises voice information and personal identity information, and the personal identity information comprises the name and age of the corresponding person;
the input information processing unit in the processing center extracts sound waves and sound intensity data in the voice information of different household personnel, obtains sound pressure parameters of the different household personnel through the sound intensity data, combines the sound wave data and the sound pressure parameters to obtain voice characteristic values of the different household personnel, binds the processed voice characteristic values with personal identity information to generate a data packet to be extracted, and transmits the data packet to be extracted to the storage unit for storage;
the storage unit is internally provided with a first elastic data packet and a second elastic data packet;
the data acquisition end is used for receiving the voice command of the external household personnel and transmitting the voice command to the processing center;
the data preprocessing unit receives and processes the voice command, extracts and processes sound waves and sound intensity parameters in the voice command to obtain another group of voice characteristic values, conveys the other group of voice characteristic values into the parameter comparison unit, compares the other group of voice characteristic values with the voice characteristic values by the parameter comparison unit, extracts corresponding personal identity information and habit data packets after comparison is completed, conveys an acquisition command into the data preprocessing unit if no habit data packet exists, and acquires personal habit parameters of different family personnel according to the acquisition command and generates the habit data packets.
2. The intelligent sofa adjustment system with memory function as claimed in claim 1, wherein the processing center combines the sound wave data and the sound pressure parameter by the following steps:
s1, converting acoustic parameters into an acoustic curve, matching the acoustic curve with an internal coordinate template, extracting turning points in the acoustic curve, and marking the turning points as Z i ，Z i =1, 2, \ 8230; \ 8230;, n, n is a positive integer, the vertical coordinate point value at which the turning point is located is extracted and marked as Sz i Wherein i represents different household personnel;
s2, adopt
Obtaining the filter parameter LB i Wherein
Is a correction factor, and has a value of 0.98563, wherein
For a plurality of groups of vertical coordinate point values Sz i The mean value of (a);
s3, extracting sound intensity data and marking as SQ i By using SY i ＝sQ i Obtaining sound pressure data SY by multiplying C by J i Wherein C is the density of the medium and J is the speed of sound;
s4, filtering parameters LB i And sound pressure data SY i Performing merging treatment by adopting YY i ＝LB i ×C1+SY i Obtaining the voice characteristic value YY by multiplying C2 i Wherein C1 and C2 are both preset fixed coefficient factors, and specific values are drawn up by operators according to experience;
s5, converting the voice characteristic value YY i And binding the data packet with the personal identity information to generate a data packet to be extracted, and transmitting the data packet to be extracted to a storage unit for storage.
3. The intelligent sofa adjustment system with memory function as claimed in claim 2, wherein the data preprocessing unit receives and processes the voice command by the steps of:
p1, obtaining another group of voice characteristic values by sound waves and sound intensity parameters in the voice instruction according to the same mode of the steps S1-S4;
p2, passing another group of voice characteristic value and voice characteristic value YY i Comparing, wherein when a comparison result exists, corresponding personal identity information is extracted from the data packet to be extracted, and when the comparison result does not exist, the work is not carried out;
p3, extracting the age of the corresponding person from the personal identity information, and marking the age as NL i General age NL i Comparing with the predetermined value X1 when NL i When X1 is ≦ X, a first adjustment instruction is generated, when NL i When the value is more than X1, generating a second adjusting instruction;
p4, extracting a first elastic data packet from the storage unit according to the first adjusting instruction, and extracting a second elastic data packet from the storage unit according to the second adjusting instruction;
p5, acquiring stress points of the sofa in real time, and changing the elasticity of the stress point area through elastic parameters in the elastic data packet;
p6, acquiring the lying angle parameter and the height parameter of the sofa in real time, and marking the lying angle parameter as TF ki Tagging height parameter as GD ji Wherein k represents different lie angle parameters and j represents different height parameters;
p61, lying angle parameter TF ki Is marked as T ki Extracting a plurality of durations T ki By the k value, the corresponding lying angle parameter TF is extracted ki And corresponding lying angle parameter TF ki Setting the angle to be a habitual lying angle;
p62, calculating height parameter GD ji Is marked as T ji Extracting a plurality of durations T ji By the value of j, the corresponding height parameter GD is extracted ji And corresponding height parameter GD ji Setting the height as a habit height;
and P7, binding the habit height and the habit lying angle to generate a habit data packet, transmitting the habit data packet to a storage unit for storage, and binding the habit data packet with corresponding family personnel through the value i.
4. The system of claim 3, wherein the control terminal is configured to receive a habit data packet and an elastic data packet sent by the processing center, perform parameter adjustment on the intelligent sofa, adjust the height and angle of the intelligent sofa according to the habit height and habit lying angle of the habit data packet, adjust the elasticity of the designated stress point according to the elastic data packet, and elastically adjust the stress point of the intelligent sofa only through the elastic parameters in the elastic data packet when the habit data packet is not received.
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| CN106963154A (en) * | 2016-07-29 | 2017-07-21 | 台山市金昊贸易有限公司 | It is a kind of can automatic controlled height office chair |
| CN107908124A (en) * | 2017-12-04 | 2018-04-13 | 上海斐讯数据通信技术有限公司 | A kind of control method of intelligence sofa, control system and intelligent sofa |
| CN109945501A (en) * | 2019-01-26 | 2019-06-28 | 深圳市赛亿科技开发有限公司 | A kind of intelligent water heater control method and system |
| CN109712625A (en) * | 2019-02-18 | 2019-05-03 | 珠海格力电器股份有限公司 | Smart machine control method based on gateway, control system, intelligent gateway |
| CN113571055A (en) * | 2020-04-29 | 2021-10-29 | 顾家家居股份有限公司 | Intelligent voice sofa control system |
| CN113757968A (en) * | 2021-09-28 | 2021-12-07 | 四川虹美智能科技有限公司 | Intelligent air conditioning system based on healthy sleep big data |
| CN114613364A (en) * | 2022-03-28 | 2022-06-10 | 东莞中之科技股份有限公司 | Sound control method and system based on voice control |
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Application publication date: 20221018 |