CN113432252A - Control method and device of air conditioner, cloud server, air conditioner and storage medium - Google Patents
Control method and device of air conditioner, cloud server, air conditioner and storage medium Download PDFInfo
- Publication number
- CN113432252A CN113432252A CN202110637471.3A CN202110637471A CN113432252A CN 113432252 A CN113432252 A CN 113432252A CN 202110637471 A CN202110637471 A CN 202110637471A CN 113432252 A CN113432252 A CN 113432252A
- Authority
- CN
- China
- Prior art keywords
- air conditioner
- information
- user
- channel state
- temperature curve
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 69
- 238000004891 communication Methods 0.000 claims abstract description 28
- 238000010801 machine learning Methods 0.000 claims description 29
- 230000033001 locomotion Effects 0.000 claims description 25
- 238000012545 processing Methods 0.000 claims description 16
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 6
- 230000000241 respiratory effect Effects 0.000 claims description 4
- 230000006870 function Effects 0.000 description 13
- 230000035565 breathing frequency Effects 0.000 description 11
- 238000005516 engineering process Methods 0.000 description 9
- 230000008859 change Effects 0.000 description 8
- 238000004458 analytical method Methods 0.000 description 7
- 230000001276 controlling effect Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 238000007726 management method Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 238000005562 fading Methods 0.000 description 5
- 238000005057 refrigeration Methods 0.000 description 4
- 241000282414 Homo sapiens Species 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000001816 cooling Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 230000035939 shock Effects 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000007600 charging Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000007599 discharging Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 208000008784 apnea Diseases 0.000 description 1
- 210000000038 chest Anatomy 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000002650 habitual effect Effects 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 210000000115 thoracic cavity Anatomy 0.000 description 1
- 230000002618 waking effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The application provides a control method and device of an air conditioner, a cloud server, the air conditioner and a storage medium, wherein the method is applied to a cloud end, the cloud end is in communication connection with the air conditioner, and the method comprises the following steps: acquiring channel state information acquired by the air conditioner; generating temperature curve information according to the channel state information; and sending the temperature curve information to the air conditioner so that the air conditioner controls the air outlet temperature through the temperature curve information. The control method of the air conditioner can utilize the cloud end to analyze the habits of the user, provides a more accurate temperature curve more conforming to the habits of the user through the powerful computing capacity of the cloud end, and improves the user experience.
Description
Technical Field
The application relates to the field of air conditioners, in particular to a control method and device of an air conditioner, a cloud server, the air conditioner and a storage medium.
Background
The conventional air conditioner cannot recognize and perceive the sleeping behavior habit of the user, and can only operate different temperatures according to time periods in stages mechanically. The sensor of current discernment perception user sleep has camera, radar etc. and the camera has privacy to reveal, receives the light scheduling problem, and the radar needs additionally to increase great hardware cost, and has the scanning blind area, has the requirement to the air conditioner mounted position.
Meanwhile, because the air conditioner can not integrate a large number of powerful processing devices due to the problems of heat dissipation of the air conditioner or the volume of the air conditioner, and the like, the physiological habits of the user can not be accurately analyzed, and therefore, in the prior art, the air conditioner with the temperature intelligently regulated and controlled according to the physiological data of the user is often poor in control precision or can not meet the requirements of the user.
Therefore, how to solve the installation cost of the air conditioner and how to improve the effect of intelligent temperature control of the air conditioner becomes a problem to be solved in the art.
Disclosure of Invention
The application provides a control method of an air conditioner, which can process channel state information by utilizing the capability of processing data by a cloud terminal according to the channel state information acquired by the air conditioner, generate a specific temperature curve and improve the temperature control precision of the air conditioner.
In one aspect, the present application provides a control method for an air conditioner, which is applied to a cloud, the cloud being in communication connection with the air conditioner, the method including:
acquiring channel state information acquired by the air conditioner;
generating temperature curve information according to the channel state information;
and sending the temperature curve information to the air conditioner so that the air conditioner controls the air outlet temperature through the temperature curve information.
In some embodiments of the present application, the generating temperature profile information according to the channel state information includes:
and generating temperature curve information according to the user physiological parameter information contained in the channel state information.
In some embodiments of the present application, the generating temperature curve information according to the user physiological parameter information included in the channel state information includes:
acquiring a plurality of motion parameter information and a plurality of respiratory parameter information;
generating a plurality of curve temperatures according to the motion parameter information and the respiration parameter information;
and generating unique temperature curve information according to the curve temperatures.
In some embodiments of the present application, the generating unique temperature profile information according to the plurality of profile temperatures includes:
performing machine learning according to the curve temperatures to obtain a machine learning result;
and generating unique temperature curve information according to the machine learning result.
In some embodiments of the present application, after the performing machine learning according to the plurality of curve temperatures to obtain a machine learning result, the method further includes:
acquiring physiological habit data of a user according to the machine learning result;
if new physiological parameter information is obtained, comparing the new physiological parameter information with the physiological habit data of the user to obtain a comparison result;
if the comparison result is that the new physiological parameter information is matched with the physiological habit data of the user, determining that the user is in a healthy state;
and if the new physiological parameter information is not matched with the physiological habit of the user, determining that the user is in an unhealthy state, and reminding the user.
In some embodiments of the present application, after the obtaining of the channel state information collected by the air conditioner, before generating the temperature curve information according to the channel state information, the method further includes:
and processing the channel state information to obtain the denoised channel state information.
On the other hand, the application also provides a control method of the air conditioner, which is applied to a cloud, wherein the cloud is in communication connection with the plurality of air conditioners, and the method comprises the following steps:
acquiring corresponding channel state information acquired by the plurality of air conditioners;
generating a plurality of temperature curve information according to the corresponding channel state information;
and sending the plurality of temperature curve information to each corresponding air conditioner in the plurality of air conditioners so that each air conditioner controls the air outlet temperature through the corresponding temperature curve information.
On the other hand, the application also provides a control device of an air conditioner, which is applied to a cloud, wherein the cloud is in communication connection with the air conditioner, and the method comprises the following steps:
the acquisition module is used for acquiring the channel state information acquired by the air conditioner;
the generating module is used for generating temperature curve information according to the channel state information;
and the sending module is used for sending the temperature curve information to the air conditioner so that the air conditioner controls the air outlet temperature through the temperature curve information.
In some embodiments of the present application, the generating module is specifically configured to:
and generating temperature curve information according to the user physiological parameter information contained in the channel state information.
In some embodiments of the present application, the generating module is specifically configured to:
acquiring a plurality of motion parameter information and a plurality of respiratory parameter information;
generating a plurality of curve temperatures according to the motion parameter information and the respiration parameter information;
and generating unique temperature curve information according to the curve temperatures.
In some embodiments of the present application, the generating module is specifically configured to:
performing machine learning according to the curve temperatures to obtain a machine learning result;
and generating unique temperature curve information according to the machine learning result.
In another aspect, the present application further provides a cloud server, where the cloud server includes:
one or more processors;
a memory; and
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement any one of the control methods of the air conditioner.
In another aspect, the present application also provides an air conditioner, including:
a communication module;
one or more processors;
a memory; and
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement any one of the control methods of the air conditioner.
In another aspect, the present application further provides a storage medium having a computer program stored thereon, the computer program being loaded by a processor to perform any one of the control methods of the air conditioner.
The application provides a control method of an air conditioner, habits of a user are analyzed through a cloud, a temperature curve which is more accurate and more accordant with habits of the user is provided through strong computing power of the cloud, and user experience is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic view of a control system of an air conditioner provided in an embodiment of the present application;
FIG. 2 is a flow chart illustrating an embodiment of a method for controlling an air conditioner according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an embodiment of a control device of an air conditioner in the embodiment of the present application;
fig. 4 is a schematic structural diagram of an embodiment of a cloud server in the embodiment of the present application;
fig. 5 is a schematic structural diagram of an embodiment of an air conditioner in the embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
In the description of the present application, it is to be understood that the terms "a" and "an" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "a" or "an" may explicitly or implicitly include one or more of the described feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
In this application, the word "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the application. In the following description, details are set forth for the purpose of explanation. It will be apparent to one of ordinary skill in the art that the present application may be practiced without these specific details. In other instances, well-known structures and processes are not set forth in detail in order to avoid obscuring the description of the present application with unnecessary detail. Thus, the present application is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
The application provides a control method and device of an air conditioner, a cloud server, the air conditioner and a storage medium, which are respectively explained below.
Some basic concepts involved in the embodiments of the present application are first described below:
air Conditioner (Air Conditioner): generally comprises a cold source/heat source device, a cold and hot medium delivery and distribution system, a terminal device and other auxiliary devices. The system mainly comprises a refrigeration host, a water pump, a fan and a pipeline system. The end device is responsible for specifically processing the air state by utilizing the cold and heat quantity from the transmission and distribution so as to enable the air parameters of the target environment to meet certain requirements.
Cloud: cloud technology (Cloud technology) is based on a general term of network technology, information technology, integration technology, management platform technology, application technology and the like applied in a Cloud computing business model, can form a resource pool, is used as required, and is flexible and convenient. Cloud computing technology will become an important support. Background services of the technical network system require a large amount of computing and storage resources, such as video websites, picture-like websites and more web portals. With the high development and application of the internet industry, each article may have its own identification mark and needs to be transmitted to a background system for logic processing, data in different levels are processed separately, and various industrial data need strong system background support and can only be realized through cloud computing. It should be noted that the cloud server in the present application is one of cloud terminals, and is a server device using a cloud technology.
Channel State Information (CSI) is the Channel property of a communication link in the field of wireless communication. It describes the fading factor of the signal on each transmission path, i.e. the value of each element in the channel gain matrix H, such as signal Scattering (Scattering), fading or fading, distance fading (power fading) and other information. The CSI may adapt the communication system to the current channel conditions, providing a guarantee for high reliability and high rate communication in a multi-antenna system.
Referring to fig. 1, fig. 1 is a schematic view of a scene of a control method of an air conditioner according to an embodiment of the present disclosure, a control system of the air conditioner may include an air conditioner 10 and a cloud server 20, where the air conditioner 10 and the cloud server 20 may be connected in any manner, including but not limited to signal communication through an electronic circuit and communication through a wireless signal, where the wireless signal may be computer network communication of a TCP/IP Protocol Suite (TCP/IP) and a User Datagram Protocol (UDP). The air conditioner 10 can receive control signals from a remote controller or a control panel, and perform a series of air conditioner functions such as cooling, heating, dehumidifying, and dust removing. The air conditioner 10 can also receive the instruction information sent by the cloud server 20, and the air conditioner 10 can perform a series of operations such as cooling, heating, dehumidifying, and dedusting according to the corresponding instruction information, for example, a control method of the air conditioner in the present application.
In the embodiment of the present application, the air conditioner 10 includes, but is not limited to, a wall-mounted air conditioner, a cabinet air conditioner, a window air conditioner, a ceiling air conditioner, a built-in air conditioner, etc.
It can be understood by those skilled in the art that the application environment shown in fig. 1 is only one application scenario of the present application, and does not constitute a limitation on the application scenario of the present application, and other application environments may further include more or fewer air conditioners and servers than those shown in fig. 1, for example, only 1 air conditioner or server is shown in fig. 1, and the control system of the air conditioner of the present application may further include one or more air conditioners and servers for executing the control method of the air conditioner of the present application, and is not limited herein.
In addition, as shown in fig. 1, the control system of the air conditioner may further include a memory 30 for storing data, such as channel state information in the control of the air conditioner.
It should be noted that the scenario diagram of the control system of the air conditioner shown in fig. 1 is only an example, the control system and the scenario of the air conditioner described in the embodiment of the present application are for more clearly illustrating the technical solution of the embodiment of the present application, and do not form a limitation on the technical solution provided in the embodiment of the present application, and it is known by a person skilled in the art that the technical solution provided in the embodiment of the present application is also applicable to similar technical problems along with the evolution of the control system of the air conditioner and the appearance of new service scenarios.
As shown in fig. 2, fig. 2 is a flowchart illustrating an embodiment of a method for controlling an air conditioner in the embodiment of the present application, where the method for controlling an air conditioner may include the following steps 201 and 203:
201. and acquiring the channel state information collected by the air conditioner.
In the prior art, with the development of smart homes, communication modules of different types have been installed on part of air conditioners, and various communication modules can be connected with various household appliances at home to form a household internet of things, and remote control is performed through terminal equipment such as mobile phones or computers.
The communication module in the embodiment of the present application may adopt a wifi module capable of collecting channel information, as is well known, wifi needs to send a wireless signal through a channel, that is, the wifi signal needs a certain frequency, and sends a radio wave, when an object moves in a radio wave environment, reflection of the radio wave changes, that is, channel state information changes, and by using the change of channel state information CSI, (CSI is mentioned in the above concept, and no specific description is given here), amplitude and phase of the change of the electromagnetic wave can be obtained in real time, and according to the changed amplitude and phase, a motion law of the object in a space can be calculated, so that the purpose of obtaining the channel state information in this step is to calculate a condition of a motion law of the object in a certain space. After the wifi module collects the changed channel state information, the channel state information can be transmitted to the cloud end through the corresponding network, and the cloud end can acquire the corresponding channel state information.
Because the nature of electromagnetic wave, for example, the coverage is wide, not influenced by illumination, the blind area is few, the precision is high, noninductive and with low costs, under the condition that hardly increases other induction element, alright in order to acquire channel state information simultaneously and send channel state information, consequently, the wifi module that this application embodiment adopted practices thrift the cost.
202. And generating temperature curve information according to the channel state information.
After the high in the clouds acquireed the channel state information that the air conditioner sent, alright in order to according to amplitude and the phase place of electromagnetic wave change in the channel state information, the object motion law in the certain space of analysis, in this application embodiment, the object of analysis can be for the user of air conditioner, has gone out the current state of user when the analysis, alright in order to be in different situation according to the user, different settlement temperature, the automatic temperature curve that generates, the air-out temperature can be adjusted by oneself to the air conditioner of being convenient for.
In some embodiments of the present application, the generating temperature profile information according to the channel state information includes:
and generating temperature curve information according to the user physiological parameter information contained in the channel state information.
As can be seen from the above description, the change of the channel state information includes a change of the reflection of the electromagnetic wave caused by the movement of the object in the room, and of course, a change of the channel state information caused by the movement of the user himself. Therefore, when the user moves in a room or because of the vibration of the chest cavity driven by breathing, the amplitude and the phase of the electromagnetic wave are changed, and the movement condition and the physiological state of the user in the room can be analyzed according to the changed amplitude and phase. For example: the user is in a sitting state at this time, or in a lying state at this time, and the like.
If the user is in the lying state, the breathing frequency is different due to the waking state and the sleeping state, namely the vibration frequency of the chest is different, and whether the user is in the sleeping state can be calculated according to the breathing frequency of the user. For example, when the human body is awake, the breathing rate is 12-20 times per minute, and in this case, it may be set that it is determined that the user enters the sleep state when the breathing rate is 8-12 times per minute. After it is determined that the user enters the sleep state, in order to avoid a situation such as a cold of the user, a temperature higher than the user-set temperature at that time is appropriately generated. For example: and calculating the current sleep state of the user according to the physiological parameter information of the user, and generating a 25-degree curve in the refrigeration mode if the temperature set by the user is 24 degrees in the refrigeration mode at the moment.
In some embodiments of the present application, the generating temperature curve information according to the user physiological parameter information included in the channel state information includes:
a plurality of motion parameter information and a plurality of breathing parameter information are obtained.
After the air conditioner is started, the user often does not immediately turn off the air conditioner, so the starting time of the air conditioner is a time period, and the user is not in a motionless state and does not breathe all the time in the time period. Therefore, the air conditioner may adopt real-time varying channel state information, which of course also includes a plurality of motion parameter information and a plurality of respiration parameter information of the user.
And generating a plurality of curve temperatures according to the motion parameter information and the respiration parameter information.
The motion parameter information may be, if it is analyzed according to the channel state information that the user is in bed and the user is not out of bed, the breathing parameter information may be, when the breathing frequency of the user is detected, according to the list of the above embodiments, for example, when the breathing frequency is 8-12 times per minute, information that the air conditioner automatically enters the sleep mode operation may be generated, and if the current set temperature is T1, for example, 24 degrees in the cooling mode; when the change of the breathing frequency of the user is detected and the user gets up, namely the user gets up midway, another motion parameter information is obtained at the moment, and meanwhile, the air conditioner set temperature T2 at the current moment is recorded, for example, the temperature T2 can be 25 ℃ in a refrigeration mode, and at the moment, the air conditioner set temperature can be returned to the initial set temperature T1 for operation; when the user getting to bed is detected again, and the breathing is the sleeping breathing frequency, the air conditioner returns to the set temperature T2 again to operate, and the change of the T1 temperature and the T2 temperature is a curve temperature.
It should be noted that, since the user may perform other operations while sleeping, the user may perform corresponding temperature setting according to other operations, and at this time, another temperature profile appears, so that a plurality of profile temperatures may be generated.
And generating unique temperature curve information according to the curve temperatures.
Because different users have different habits, different movement habits and different breathing frequencies, and the curve temperatures obtained according to the physiological parameter information of one user are different, the curve temperatures generated according to the physiological parameter information of different users cannot be used indiscriminately, and after the unique temperature curve information is generated, the customized temperature curve information is equivalently generated for different users, so that different requirements of different users can be met, and the differentiation problem of the users is solved.
In order to better implement the temperature curve information generated in the embodiment of the present application, the generating unique temperature curve information according to the plurality of curve temperatures includes:
and performing machine learning according to the curve temperatures to obtain a machine learning result.
Machine learning includes a variety of disciplines, for example, a plurality of disciplines such as probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory, and the like. The special research on how a computer simulates or realizes the learning behavior of human beings so as to acquire new knowledge or skills and reorganize the existing knowledge structure to continuously improve the performance of the computer. When enough physiological parameter information of a plurality of users is obtained, a large number of physiological parameters can be analyzed correspondingly, for example, the temperature preference of different users under different exercise conditions and different breathing frequencies is obtained, so that an optimized temperature is obtained, and the optimized temperature can be one of the machine learning results.
And generating unique temperature curve information according to the machine learning result.
At this moment, the machine learning result can be the optimized curve temperature, and when the generation of the temperature curve information is carried out according to the optimized curve temperature, the user experience can be better satisfied.
In order to better implement the present application, in some embodiments of the present application, after the performing machine learning according to the plurality of curve temperatures to obtain a machine learning result, the method further includes:
and acquiring physiological habit data of the user according to the machine learning result.
According to the above embodiment, the machine learning result is obtained according to the user physiological parameters acquired for a long time, so when the user physiological parameters are acquired for a long time, according to a corresponding method, for example: the statistical method can obtain the physiological habit data of the user, for example, the habit temperature is 24 degrees when the user sits still. Or the habitual temperature of the user is 26 degrees when the heart rate is 10 beats per minute, i.e. in a sleep state.
And if new physiological parameter information is obtained, comparing the new physiological parameter information with the physiological habit data of the user to obtain a comparison result.
According to the physiological parameter information exemplified in the above embodiments, the new physiological parameter information may be any physiological parameter information after the previously acquired physiological parameter information, for example, 13 breaths per minute, or in an extreme case, 0 breath per minute, and at this time, the 13 breaths per minute or 0 breath per minute may be compared with the previously acquired physiological parameter information.
And if the comparison result is that the new physiological parameter information is matched with the physiological habit data of the user, determining that the user is in a healthy state.
According to the above exemplary description, if the obtained new physiological parameter information is 13 breaths per minute, since the normal breathing range of the person is 12-20 breaths per minute, and the 13 breaths per minute is within the sub-range, it can be determined that the user is in a normal state, that is, the user is in a healthy state.
And if the new physiological parameter information is not matched with the physiological habit of the user, determining that the user is in an unhealthy state, and reminding the user.
If the user is breathing 0 breaths per minute, the breath 0 breaths no longer in the range of 12-20 breaths per minute and no longer in the range of 8-12 breaths per minute, so that the user is in an abnormal state, i.e. an unhealthy state, when the user stops breathing.
It should be noted that, reminding the user includes reminding the family of the user at the same time, and when the user breathes every minute for 0 time, the user may be in a shock state and cannot check the reminding message, so the family of the user is reminded synchronously, and the condition that the user cannot reverse is avoided. The reminding mode can be an application program, the application program is connected with a cloud network, when abnormal conditions are detected, the reminding can be performed through notification of the application program, the prompt messages under different conditions can be different, for example, when 0 breath per minute occurs, the shock condition of the user can be sent to the application program on the mobile phone of the family of the user. Certainly, also need will the suggestion is sent to the application on user's own cell-phone, if the detection program breaks down, the suggestion that finds the application when the user that is using does, the condition that the user goes out shock, the user alright in order to find that the suggestion is wrong, the user can in time inform the family, need not worry, in addition, the user can also obtain the air conditioner, or the high in the clouds breaks down, the user can in time simultaneously operation and maintenance personnel, carries out timely maintenance.
In order to better implement the method of the present application, in some embodiments of the present application, before generating temperature curve information according to the channel state information after acquiring the channel state information collected by the air conditioner, the method further includes:
and processing the channel state information to obtain the denoised channel state information.
In order to better analyze the channel state information, the embodiment of the application may further perform denoising processing on the channel state information, for example, perform preprocessing, outlier removal, filtering denoising, subcarrier selection, feature point extraction, and the like on the channel state information raw data, and analyze the motion information of the user through cloud machine learning, including turning over motion, going to bed motion, standing motion, sitting motion, and human normal breathing frequency, sleep breathing frequency, and abnormal breathing frequency (apnea). And the cloud end sends the detection result to the air conditioner controller end through the wireless communication module for logic analysis.
203. And sending the temperature curve information to the air conditioner so that the air conditioner controls the air outlet temperature through the temperature curve information.
After the temperature curve information is generated at the cloud end, corresponding temperature curve information can still be sent to the air conditioner in a network mode, and the air conditioner can control the air outlet temperature according to the corresponding temperature curve information to complete the control of the air conditioner.
The embodiment of the application provides a control method of an air conditioner, habits of a user are analyzed through a cloud, a temperature curve which is more accurate and more accordant with habits of the user is provided through strong computing power of the cloud, and user experience is improved.
On the other hand, the application also provides a control method of the air conditioner, which is applied to a cloud, wherein the cloud is in communication connection with the plurality of air conditioners, and the method comprises the following steps:
and acquiring the corresponding channel state information acquired by the plurality of air conditioners.
In this embodiment of the application, the cloud may also obtain a plurality of channel state information sent by a plurality of air conditioners at the same time, and the way of obtaining the channel state information is the same as that in the above embodiment, and specific details are not repeated here.
And generating a plurality of temperature curve information according to the corresponding channel state information.
According to the corresponding channel state information, the cloud end can perform independent analysis to generate corresponding temperature curve information. The manner of generating the temperature curve information is the same as the above embodiment, and is not described herein again.
And sending the plurality of temperature curve information to each corresponding air conditioner in the plurality of air conditioners so that each air conditioner controls the air outlet temperature through the corresponding temperature curve information.
After generating a plurality of temperature profile information, different temperature profile information may be returned to the sending of the previously sent air conditioners. The sending method is the same as the above embodiment, and details are not repeated here.
The embodiment of the application provides a control method of an air conditioner, habits of a plurality of users are analyzed by using a cloud, through the powerful computing capacity of the cloud, the control method is more accurate, different habits of different users are better met, namely different temperature curves can meet the requirements of the different users, and the experience of the users is improved.
In order to better implement the control method of the air conditioner in the embodiment of the present application, in addition to the control method of the air conditioner, the embodiment of the present application further provides a control device of the air conditioner, and the present application further provides a control device of the air conditioner, which is applied to a cloud, the cloud is in communication connection with the air conditioner, as shown in fig. 3, the device 300 includes:
an obtaining module 301, configured to obtain channel state information collected by the air conditioner;
a generating module 302, configured to generate temperature curve information according to the channel state information;
and the sending module 303 is configured to send the temperature curve information to the air conditioner, so that the air conditioner controls the air outlet temperature according to the temperature curve information.
The embodiment of the application provides a controlling means of air conditioner, through after obtaining module 301 and obtaining channel state information, utilize the generating module 302 analysis user's of high in the clouds custom, through the powerful computing power in high in the clouds, provide more accurately, more accord with the temperature curve of user's custom, rethread sending module 303 returns the temperature curve for corresponding air conditioner after, the air conditioner alright in order to control the temperature of air-out by oneself, improved user's experience.
In some embodiments of the present application, the generating module 302 is specifically configured to:
and generating temperature curve information according to the user physiological parameter information contained in the channel state information.
In some embodiments of the present application, the generating module 302 is specifically configured to:
acquiring a plurality of motion parameter information and a plurality of respiratory parameter information;
generating a plurality of curve temperatures according to the motion parameter information and the respiration parameter information;
and generating unique temperature curve information according to the curve temperatures.
In some embodiments of the present application, the generating module 302 is specifically configured to:
performing machine learning according to the curve temperatures to obtain a machine learning result;
and generating unique temperature curve information according to the machine learning result.
In another aspect, the present application further provides a cloud server, where the cloud server includes:
one or more processors;
a memory; and
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement any one of the control methods of the air conditioner.
An embodiment of the present application further provides a cloud server, which integrates any one of the control methods of the air conditioner provided in the embodiments of the present application, and as shown in fig. 4, a schematic structural diagram of the cloud server according to the embodiments of the present application is shown, specifically:
the cloud server may include components such as a processor 401 of one or more processing cores, a storage 402 of one or more computer-readable storage media, a power supply 403, and an input unit 404. Those skilled in the art will appreciate that the server architecture shown in FIG. 4 is not meant to be limiting, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:
the processor 401 is a control center of the server, connects various parts of the entire server using various interfaces and lines, and performs various functions of the server and processes data by running or executing software programs and/or modules stored in the storage device 402 and calling data stored in the storage device 402, thereby performing overall monitoring of the server. Optionally, processor 401 may include one or more processing cores; the Processor 401 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, preferably the processor 401 may integrate an application processor, which handles primarily the operating system, user interfaces, application programs, etc., and a modem processor, which handles primarily wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 401.
The storage device 402 may be used to store software programs and modules, and the processor 401 executes various functional applications and data processing by operating the software programs and modules stored in the storage device 402. The storage device 402 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to the use of the server, and the like. Further, the storage device 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the storage device 402 may also include a memory controller to provide the processor 401 access to the storage device 402.
The server further includes a power supply 403 for supplying power to each component, and preferably, the power supply 403 may be logically connected to the processor 401 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The power supply 403 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
The server may also include an input unit 404, the input unit 404 being operable to receive input numeric or character information and to generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.
Although not shown, the server may further include a display unit and the like, which will not be described in detail herein. Specifically, in this embodiment, the processor 401 in the server loads the executable file corresponding to the process of one or more application programs into the storage device 402 according to the following instructions, and the processor 401 runs the application program stored in the storage device 402, so as to implement various functions, for example:
acquiring channel state information acquired by the air conditioner;
generating temperature curve information according to the channel state information;
and sending the temperature curve information to the air conditioner so that the air conditioner controls the air outlet temperature through the temperature curve information.
In another aspect, the present application also provides an air conditioner, including:
a communication module;
one or more processors;
a memory; and
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement any one of the control methods of the air conditioner.
An embodiment of the present application further provides an air conditioner, which integrates the control device of the air conditioner according to any one of the embodiments of the present application, as shown in fig. 5, which shows a schematic structural diagram of the air conditioner according to the embodiment of the present application, specifically:
the air conditioner of this embodiment may further include components such as a processor 501 of one or more processing cores, a storage device 502 of one or more computer-readable storage media, a power supply 503, an input unit 504, and a communication module 505, in addition to the devices included in a normal air conditioner, such as a compressor, a four-way valve, and an electronic expansion valve, a low-pressure stop valve, a high-pressure stop valve, a gas-liquid separator, a low-pressure sensor, a high-pressure sensor, an external machine throttling device, an oil separator, and an oil return capillary tube. Those skilled in the art will appreciate that the air conditioner configuration shown in fig. 5 is not intended to be limiting and may include more or fewer components than shown, or some components in combination, or a different arrangement of components. Wherein:
the processor 501 is a control center of the control method of the air conditioner, connects various parts of the whole air conditioner by using various interfaces and lines, and executes various functions and processes data of the air conditioner by running or executing software programs and/or modules stored in the storage device 502 and calling data stored in the storage device 502, thereby performing overall monitoring on the operation of the control method of the air conditioner. Optionally, processor 501 may include one or more processing cores; the Processor 501 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and preferably the processor 501 may integrate an application processor, which handles primarily the operating system, user interfaces, application programs, etc., and a modem processor, which handles primarily wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 501.
The storage device 502 may be used to store software programs and modules, and the processor 501 executes various functional applications and data processing by operating the software programs and modules stored in the storage device 502. The storage device 502 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (such as a control program of an air conditioner of the present application), and the like; the storage data area may store data created according to the use of the air conditioner, and the like. Further, the storage device 502 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory device 502 may also include a memory controller to provide the processor 501 with access to the memory device 502.
The air conditioner further comprises a power supply 503 for supplying power to each component, and preferably, the power supply 503 can be logically connected with the processor 501 through a power management system, so that functions of charging, discharging, power consumption management and the like can be managed through the power management system. The power supply 503 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
The air conditioner may further include an input unit 504, and the input unit 504 may be used to receive input numeric or character information, and generate a remote controller related to user setting and function control, a control panel of the air conditioner, or input through an intelligent home system such as a remote network, APP, or instant voice signal.
This communication module 505 of air conditioner can be for the wifi module that can be used for gathering channel state information, the wifi module can also be used for with communication between the cloud ware.
Although not shown, the air conditioner may further include a display unit, for example, a display panel for displaying the air conditioner operation parameters, which is not described herein in detail.
In addition, in this embodiment, specifically, the processor 501 in the air conditioner loads an executable file corresponding to a process of one or more application programs into the storage device 502 according to the following instructions, and the processor 501 runs the application programs stored in the storage device 502, so as to implement various functions, for example:
and sending the temperature curve information according to the cloud server, and controlling the air outlet temperature according to the temperature curve information.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, an embodiment of the present application provides a computer-readable storage medium, which may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like. The air conditioner control method comprises a step of storing a computer program, and a step of executing the steps in any one of the air conditioner control methods provided by the embodiments of the application by loading the computer program by a processor. For example, the computer program may be loaded by a processor to perform the steps of:
acquiring channel state information acquired by the air conditioner;
generating temperature curve information according to the channel state information;
and sending the temperature curve information to the air conditioner so that the air conditioner controls the air outlet temperature through the temperature curve information.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and parts that are not described in detail in a certain embodiment may refer to the above detailed descriptions of other embodiments, and are not described herein again.
In a specific implementation, each unit or structure may be implemented as an independent entity, or may be combined arbitrarily to be implemented as one or several entities, and the specific implementation of each unit or structure may refer to the foregoing method embodiment, which is not described herein again.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
The foregoing detailed description is directed to a method and an apparatus for controlling an air conditioner according to an embodiment of the present disclosure, and a specific example is applied to illustrate the principle and the implementation manner of the present disclosure, and the description of the foregoing embodiment is only used to help understand the method and the core idea of the present disclosure; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (11)
1. A control method of an air conditioner is applied to a cloud end, the cloud end is in communication connection with the air conditioner, and the method comprises the following steps:
acquiring channel state information acquired by the air conditioner;
generating temperature curve information according to the channel state information;
and sending the temperature curve information to the air conditioner so that the air conditioner controls the air outlet temperature through the temperature curve information.
2. The method of claim 1, wherein the generating temperature profile information according to the channel state information comprises:
and generating temperature curve information according to the user physiological parameter information contained in the channel state information.
3. The method for controlling an air conditioner according to claim 2, wherein the generating temperature profile information according to the user physiological parameter information included in the channel state information includes:
acquiring a plurality of motion parameter information and a plurality of respiratory parameter information;
generating a plurality of curve temperatures according to the motion parameter information and the respiration parameter information;
and generating unique temperature curve information according to the curve temperatures.
4. The method of claim 3, wherein the generating unique temperature profile information based on the plurality of profile temperatures comprises:
performing machine learning according to the curve temperatures to obtain a machine learning result;
and generating unique temperature curve information according to the machine learning result.
5. The method of claim 4, wherein after the machine learning is performed according to the plurality of curve temperatures and a machine learning result is obtained, the method further comprises:
acquiring physiological habit data of a user according to the machine learning result;
if new physiological parameter information is obtained, comparing the new physiological parameter information with the physiological habit data of the user to obtain a comparison result;
if the comparison result is that the new physiological parameter information is matched with the physiological habit data of the user, determining that the user is in a healthy state;
and if the new physiological parameter information is not matched with the physiological habit of the user, determining that the user is in an unhealthy state, and reminding the user.
6. The method for controlling an air conditioner according to claim 1, wherein after the acquiring the channel state information collected by the air conditioner, before generating the temperature profile information according to the channel state information, the method further comprises:
and processing the channel state information to obtain the denoised channel state information.
7. A control method of an air conditioner is applied to a cloud end, the cloud end is in communication connection with a plurality of air conditioners, and the method comprises the following steps:
acquiring corresponding channel state information acquired by the plurality of air conditioners;
generating a plurality of temperature curve information according to the corresponding channel state information;
and sending the plurality of temperature curve information to each corresponding air conditioner in the plurality of air conditioners so that each air conditioner controls the air outlet temperature through the corresponding temperature curve information.
8. A control device of an air conditioner, which is applied to a cloud end, the cloud end is in communication connection with the air conditioner, and the control device comprises:
the acquisition module is used for acquiring the channel state information acquired by the air conditioner;
the generating module is used for generating temperature curve information according to the channel state information;
and the sending module is used for sending the temperature curve information to the air conditioner so that the air conditioner controls the air outlet temperature through the temperature curve information.
9. A cloud server, the cloud server comprising:
one or more processors;
a memory; and
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement the control method of the air conditioner of any one of claims 1 to 7.
10. An air conditioner, characterized in that the air conditioner comprises:
a communication module;
one or more processors;
a memory; and
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement the control method of the air conditioner of any one of claims 1 to 7.
11. A storage medium having stored thereon a computer program to be loaded by a processor to execute the control method of an air conditioner according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110637471.3A CN113432252B (en) | 2021-06-08 | 2021-06-08 | Air conditioner control method and device, cloud server, air conditioner and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110637471.3A CN113432252B (en) | 2021-06-08 | 2021-06-08 | Air conditioner control method and device, cloud server, air conditioner and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113432252A true CN113432252A (en) | 2021-09-24 |
| CN113432252B CN113432252B (en) | 2023-05-02 |
Family
ID=77803888
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110637471.3A Active CN113432252B (en) | 2021-06-08 | 2021-06-08 | Air conditioner control method and device, cloud server, air conditioner and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113432252B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001041531A (en) * | 1999-07-30 | 2001-02-16 | Matsushita Electric Ind Co Ltd | Environment control apparatus and care house |
| CN103123159A (en) * | 2013-01-24 | 2013-05-29 | 广东志高空调有限公司 | Air conditioner sleeping function control method based on cloud computing technology |
| CN104791957A (en) * | 2015-04-23 | 2015-07-22 | 惠州Tcl移动通信有限公司 | Method and system for adjusting intelligent air conditioner based on intelligent watch |
| CN107726544A (en) * | 2017-09-30 | 2018-02-23 | 广东美的制冷设备有限公司 | The sleep curve of big data recommends method, apparatus, server and storage medium |
| CN108571804A (en) * | 2018-04-23 | 2018-09-25 | 广东美的制冷设备有限公司 | Air conditioner and its parameter regulation means, device and readable storage medium storing program for executing |
| CN110030680A (en) * | 2019-04-25 | 2019-07-19 | 珠海格力电器股份有限公司 | Control method and system of air conditioner with millimeter wave radar and air conditioner |
| CN110363143A (en) * | 2019-07-16 | 2019-10-22 | 珠海格力电器股份有限公司 | Monitoring method, device and system |
| CN209857323U (en) * | 2019-04-25 | 2019-12-27 | 珠海格力电器股份有限公司 | Control system of air conditioner with millimeter wave radar and air conditioner |
-
2021
- 2021-06-08 CN CN202110637471.3A patent/CN113432252B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001041531A (en) * | 1999-07-30 | 2001-02-16 | Matsushita Electric Ind Co Ltd | Environment control apparatus and care house |
| CN103123159A (en) * | 2013-01-24 | 2013-05-29 | 广东志高空调有限公司 | Air conditioner sleeping function control method based on cloud computing technology |
| CN104791957A (en) * | 2015-04-23 | 2015-07-22 | 惠州Tcl移动通信有限公司 | Method and system for adjusting intelligent air conditioner based on intelligent watch |
| CN107726544A (en) * | 2017-09-30 | 2018-02-23 | 广东美的制冷设备有限公司 | The sleep curve of big data recommends method, apparatus, server and storage medium |
| CN108571804A (en) * | 2018-04-23 | 2018-09-25 | 广东美的制冷设备有限公司 | Air conditioner and its parameter regulation means, device and readable storage medium storing program for executing |
| CN110030680A (en) * | 2019-04-25 | 2019-07-19 | 珠海格力电器股份有限公司 | Control method and system of air conditioner with millimeter wave radar and air conditioner |
| CN209857323U (en) * | 2019-04-25 | 2019-12-27 | 珠海格力电器股份有限公司 | Control system of air conditioner with millimeter wave radar and air conditioner |
| CN110363143A (en) * | 2019-07-16 | 2019-10-22 | 珠海格力电器股份有限公司 | Monitoring method, device and system |
Non-Patent Citations (1)
| Title |
|---|
| 中国知识科学研究会数字城市专业委员会轨道交通学组: "《智慧城市与轨道交通 2018》", 31 July 2018 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113432252B (en) | 2023-05-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10584892B2 (en) | Air-conditioning control method, air-conditioning control apparatus, and storage medium | |
| US11134888B2 (en) | Systems and methods for smart home control | |
| CN108758996B (en) | Air conditioner, control method and device thereof and readable storage medium | |
| CN110030680A (en) | Control method and system of air conditioner with millimeter wave radar and air conditioner | |
| KR20170007964A (en) | Controlling method and device for managing sleeping environment | |
| CN104991456B (en) | Intelligent household appliance control method and device | |
| US9100207B2 (en) | Systems, devices, and methods for mapping devices to realize building automation and energy management | |
| US10171949B2 (en) | Electronic apparatus and operating method thereof | |
| CN109059176A (en) | Air regulator and its control method and control device | |
| CN111240220A (en) | Equipment control method and device | |
| CN107392481B (en) | Hotel energy consumption calculation method, device and system | |
| CN113359503B (en) | Equipment control method and related device | |
| CN113432252A (en) | Control method and device of air conditioner, cloud server, air conditioner and storage medium | |
| CN114265327B (en) | Sleep control method and device of intelligent household equipment, processor and electronic equipment | |
| CN116466595A (en) | Control method and device for home system, home system and storage medium | |
| US20160195886A1 (en) | Estimated consumption quantity calculation system, server, estimated consumption quantity calculation method, and computer-readable recording medium whereupon program is recorded | |
| CN113847720A (en) | Air conditioner and control method thereof | |
| CN110736238B (en) | Method and device for controlling air conditioner, equipment, storage medium and electronic device | |
| CN106774783B (en) | Energy-saving control method and server | |
| CN108897421A (en) | Electronic equipment and its control method, device and computer readable storage medium | |
| CN113432256A (en) | Security monitoring method, air conditioner security monitoring method, cloud server and air conditioner | |
| CN107490974A (en) | Control method, device, system and the terminal device of household electrical appliance | |
| US20240318848A1 (en) | Environmental control device, environmental control method, and environmental control program | |
| CN115202230A (en) | Intelligent device control method and device based on human physiological state and computing device | |
| CN118483941A (en) | Equipment control method, device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |