CN113432252B

CN113432252B - Air conditioner control method and device, cloud server, air conditioner and storage medium

Info

Publication number: CN113432252B
Application number: CN202110637471.3A
Authority: CN
Inventors: 陈伟杰
Original assignee: TCL Air Conditioner Zhongshan Co Ltd
Current assignee: TCL Air Conditioner Zhongshan Co Ltd
Priority date: 2021-06-08
Filing date: 2021-06-08
Publication date: 2023-05-02
Anticipated expiration: 2041-06-08
Also published as: CN113432252A

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. According to the control method of the air conditioner, habit of a user can be analyzed by the cloud, more accurate temperature curve which is more in line with habit of the user is provided through strong computing capacity of the cloud, and experience of the user is improved.

Description

Air conditioner control method and device, cloud server, air conditioner and storage medium

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 sense the sleeping behavior habit of the user, but can only mechanically operate different temperatures according to time periods. The existing sensor for recognizing and sensing the sleep of the user is provided with a camera, a radar and the like, the camera has the problems of privacy leakage, light restriction and the like, the radar needs to be additionally increased with larger hardware cost, and has a scanning blind area and has a requirement on the installation position of the air conditioner.

Meanwhile, due to the problems of heat dissipation of an air conditioner or the volume of the air conditioner, and the like, a large number of processing devices with strong calculation force cannot be integrated, so that the physiological habit of a user cannot be accurately analyzed, and in the prior art, the air conditioner with the temperature intelligently regulated and controlled according to the physiological data of the user often has poor control precision or cannot meet the requirements of the user.

Therefore, how to solve the installation cost of the air conditioner and how to improve the intelligent temperature control effect 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 according to channel state information acquired by the air conditioner by utilizing the data processing capacity of a cloud end, 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 of an air conditioner, applied to a cloud, where the cloud is in communication connection with the air conditioner, the method includes:

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 profile information according to the user physiological parameter information included in the channel state information includes:

acquiring a plurality of pieces of motion parameter information and a plurality of pieces of breathing parameter information;

generating a plurality of curve temperatures according to the motion parameter information and the breathing parameter information;

and generating unique temperature curve information according to the plurality of 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 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 acquired, comparing the new physiological parameter information with 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 health state;

if the new physiological parameter information is not matched with the physiological habit of the user, determining that the user is in a non-healthy state, and reminding the user.

In some embodiments of the present application, after the obtaining 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 denoised channel state information.

On the other hand, the application also provides a control method of the air conditioner, which is applied to the cloud, wherein the cloud is in communication connection with a plurality of air conditioners, and the method comprises the following steps:

acquiring the 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 end, wherein the cloud end 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:

In another aspect, the present application further provides a cloud server, including:

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 the above.

In another aspect, the present application further provides an air conditioner, including:

a communication module;

one or more processors;

a memory; and

In another aspect, the present application also provides a storage medium having stored thereon a computer program that is loaded by a processor to perform the control method of an air conditioner of any one of the above.

The application provides a control method of an air conditioner, which utilizes cloud to analyze the habit of a user, provides more accurate temperature curve which accords with the habit of the user through strong computing power of the cloud, and improves the experience of the user.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

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 of one embodiment of a method of controlling a air conditioner in an embodiment of the present application;

FIG. 3 is a schematic structural view of an embodiment of a control device for a air conditioner according to an embodiment of the present application;

FIG. 4 is a schematic structural diagram of one embodiment of a cloud server according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an embodiment of a humidifier according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

In the description of the present application, it should be understood that the terms "a" and "an" are used for descriptive purposes only and are not to be interpreted as indicating or implying any relative importance or number of such features. Thus, a feature defined as "a" or "an" may include one or more of the recited feature, either explicitly or implicitly. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.

In this application, the term "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 purposes 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 have not been shown in detail 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, and the control method and device, the cloud server, the air conditioner and the storage medium are described below respectively.

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 conveying and distributing system, an end device and other auxiliary devices. The system mainly comprises a refrigeration host, a water pump, a fan and a pipeline system. The tail end device is responsible for specifically processing the air state by utilizing the transmitted cold and hot quantity, so that the air parameters of the target environment reach certain requirements.

Cloud: cloud technology (Cloud technology) is based on the general terms of network technology, information technology, integration technology, management platform technology, application technology and the like applied by Cloud computing business models, and can form a resource pool, so that the Cloud computing business model is flexible and convenient as required. Cloud computing technology will become an important support. Background services of technical networking systems require a large amount of computing, storage resources, such as video websites, picture-like websites, and more portals. Along with the high development and application of the internet industry, each article possibly has an own identification mark in the future, the identification mark needs to be transmitted to a background system for logic processing, data with different levels can be processed separately, and various industry data needs strong system rear shield support and can be realized only through cloud computing. It should be noted that, the cloud server in the present application is one type of cloud end, and is a server device that uses cloud technology.

Channel state information (Channel State Information, hereinafter CSI), which is the channel properties of a communication link in the field of wireless communication. It describes the attenuation 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), environmental attenuation (coding, multipath fading or shadowing fading), distance attenuation (power decay of distance), etc. 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 scenario of a control method of an air conditioner according to an embodiment of the present application, where 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 in communication connection through any manner, including but not limited to signal communication through an electronic circuit, communication through a wireless signal, where the wireless signal may be a computer network communication of a TCP/IP protocol family (TCP/IP Protocol Suite, TCP/IP), a user datagram protocol (User Datagram Protocol, UDP), and so on. The air conditioner 10 may receive control signals from a remote controller or a control panel, perform a series of functions of the air conditioner, such as cooling, heating, dehumidifying, and dedusting. 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 refrigeration, heating, dehumidification, dust removal and the like according to the corresponding instruction information, for example, a control method of the air conditioner in the application.

In the present embodiment, 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, an embedded air conditioner, and the like.

It will be understood by those skilled in the art that the application environment shown in fig. 1 is merely an application scenario of the present application, and is not limited to 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 multiple air conditioners and servers for executing the control method of the air conditioner of the present application, which 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 schematic view of the scenario of the control system of the air conditioner shown in fig. 1 is only an example, and the control system and scenario of the air conditioner described in the embodiments of the present application are for more clearly describing the technical solution of the embodiments of the present application, and do not constitute a limitation to the technical solution provided in the embodiments of the present application, and as a person of ordinary skill in the art can know that, along with the evolution of the control system of the air conditioner and the appearance of a new service scenario, the technical solution provided in the embodiments of the present application is also applicable to similar technical problems.

As shown in fig. 2, fig. 2 is a schematic flow chart of an embodiment of a control method of an air conditioner according to an embodiment of the present application, where the control method of the air conditioner may include the following steps 201 to 203:

201. and acquiring channel state information acquired by the air conditioner.

In the prior art, along with the development of intelligent home, part of air conditioners are provided with different types of communication modules, various communication modules can be connected with various household appliances in 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 this embodiment of the present application may adopt a wifi module that can collect channel information, and it is well known that wifi needs to send a wireless signal through a channel, that is, the wifi signal needs to have a certain frequency, and send a radio wave, when an object moves in a radio wave environment, the reflection of the radio wave will change, that is, the channel state information will change, and the CSI is changed by using the CSI (CSI is mentioned in the above concept, and no specific description is made here), so that the amplitude and the phase of the electromagnetic wave change can be obtained in real time, and the motion rule of the object in space can be calculated according to the changed amplitude and phase, so that the purpose of obtaining the channel state information in this step is to calculate the condition of the motion rule 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 through the corresponding network, and at the moment, the cloud can acquire the corresponding channel state information.

Because the nature of electromagnetic wave, for example, the coverage is wide, does not receive the illumination influence, the blind area is few, the precision is high, do not have the perception and with low costs, under the condition that does not increase other sensing devices hardly, alright acquire channel state information and send channel state information simultaneously, 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 cloud acquires the channel state information sent by the air conditioner, the motion rule of the object in a certain space can be analyzed according to the amplitude and the phase of the electromagnetic wave change in the channel state information.

As can be seen from the above description, the change in channel state information includes a change in reflection of electromagnetic waves caused by movement of an object in a room, which of course includes a change in channel state information caused by movement of the user himself. Therefore, when a user moves in a room or the chest cavity is vibrated by breathing, the amplitude and the phase of the electromagnetic wave change, so that 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: at this time, the user is in a sitting state, or at this time, the user is in a lying state, or the like.

If the user is in the lying state, due to the awake state and the sleep state, the breathing frequency is different, namely the vibration frequency of the chest is different, and whether the user enters the sleep state currently can be calculated according to the breathing frequency of the user. For example, the breathing rate of the human body is 12-20 times per minute while awake, and may be set such that the user is determined to enter a sleep state when the breathing rate is 8-12 times per minute. When it is determined that the user enters the sleep state, a temperature higher than the user-set temperature at this time is appropriately generated in order to avoid the occurrence of a user's cold or the like. For example: according to the physiological parameter information of the user, the user is in a sleep state, and if the temperature set by the user is 24 degrees in the refrigeration mode, a curve of 25 degrees in the refrigeration mode can be generated.

a plurality of kinetic parameter information and a plurality of respiratory parameter information are acquired.

After the air conditioner is started, the user will not immediately turn off the air conditioner, so the starting time of the air conditioner is a time period, and in the time period, the user is not in a state of being always motionless and not always breathing. Thus, the air conditioner may take real-time channel state information varying in real time, which of course also includes a plurality of motion parameter information and a plurality of breathing parameter information of the user.

And generating a plurality of curve temperatures according to the motion parameter information and the breathing parameter information.

The motion parameter information may be information that the air conditioner automatically enters the sleep mode to operate if it is analyzed that the user is already on bed according to the channel state information and the user is not on bed, and the breathing parameter information may be information that when the breathing frequency of the user is detected, for example, when the breathing frequency is 8-12 times per minute, the breathing frequency is enumerated in the above embodiment, and if the current set temperature is T1, for example, 24 degrees in the refrigeration mode; when the change of the breathing frequency of the user is detected, and the user gets up, namely, the user gets up halfway, another piece of motion parameter information is acquired at the moment, and meanwhile, the set temperature T2 of the air conditioner at the current moment is recorded, for example, the temperature T2 can be 25 ℃ in a refrigerating mode, and at the moment, the set temperature of the air conditioner can be returned to the initial set temperature T1 to operate; when the user is detected to get on the bed again and breathe at the sleep breathing frequency, the air conditioner returns to the set temperature T2 again to run, and the change of the T1 temperature and the T2 temperature is a curve temperature.

It should be noted that, since other actions may be performed during sleep, the user may perform corresponding temperature setting according to other actions, and at this time, other temperature curves may occur, so that a plurality of curve temperatures may be generated.

Because the set temperatures of different user habits are different, the movement habits are different, the breathing frequency is different, and the curve temperatures obtained according to the physiological parameter information of one user are different, therefore, the curve temperatures generated according to the physiological parameter information of different users cannot be mutually used, and after unique temperature curve information is generated, the curve information is equivalent to the customized temperature curve information generated for different users, so that the embodiment of the application can meet the different requirements of different users, and solve the problem of differentiation of users.

In order to better implement the embodiment of the present application, the generating temperature curve information according to the plurality of curve temperatures in the embodiment of the present application includes:

and performing machine learning according to the curve temperatures to obtain a machine learning result.

Machine learning includes a variety of disciplines, such as multiple disciplines, e.g., probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory, and the like. It is specially studied how a computer simulates or implements learning behavior of a human to acquire new knowledge or skills, and reorganizes existing knowledge structures to continuously improve own performance. When a sufficient number of user physiological parameter information is obtained, a large number of physiological parameters can be analyzed accordingly, for example, the temperature preference of different users under different movement conditions and different breathing frequencies can be obtained, so that an optimized temperature can be obtained, and the optimized temperature can be one of machine learning results.

At this time, the machine learning result may be the optimized curve temperature, and when the temperature curve information is generated according to the optimized curve temperature, the user experience can be better satisfied.

For better implementing the application, in some embodiments of the application, after 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 long-term acquired user physiological parameter, and thus, when the long-term user physiological parameter is acquired, according to the corresponding method, for example: the statistical method can obtain physiological habit data of the user, for example, the habit temperature is 24 degrees when the user sits still. Or the habit temperature of the user is 26 degrees when the heart rate is 10 times per minute, namely, in a sleep state.

And if new physiological parameter information is acquired, comparing the new physiological parameter information with physiological habit data of the user to obtain a comparison result.

According to the physiological parameter information exemplified in the above embodiment, the new physiological parameter information may be any physiological parameter information subsequent to the physiological parameter information acquired before, for example, 13 breaths per minute, or in the extreme case, 0 breaths per minute, where the 13 breaths per minute, or 0 breaths per minute, is compared with the physiological parameter information acquired before.

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 health state.

As can be seen from the above exemplary description, if the new physiological parameter information is 13 breaths per minute, since the normal respiratory range of the person is 12-20 breaths per minute, the 13 breaths per minute is within the sub-range, and the user can be determined to be in a normal state, that is, the user can be determined to be in a healthy state.

If the user is 0 breaths per minute, the 0 breaths per minute are no longer in the range of 12-20 breaths per minute and 8-12 breaths per minute, as described in the above examples, thus indicating that the user is currently stopped from breathing, and is in an abnormal state, i.e., unhealthy state, and the user needs to be reminded of this.

It should be noted that, reminding the user includes reminding the family members of the user simultaneously, when the user is in 0 times of breathing every minute, the user may be in shock state, and the reminding message cannot be checked, so that the family members of the user can be reminded synchronously, and the situation 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 abnormal conditions are informed to remind the user, and reminding messages under different conditions can be different, for example, when 0 times of breathing is carried out per minute, shock conditions of the user can be sent to the application program on a mobile phone of a user family. Of course, the prompt is also required to be sent to the application program on the mobile phone of the user, if the detection program fails, when the user in use finds that the prompt of the application program is the shock condition of the user, the user can find that the prompt is wrong, the user can timely inform the family of the fact, and worry is not needed.

In order to better implement the method of the present application, in some embodiments of the present application, after the obtaining 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:

In order to better analyze the channel state information, the embodiment of the application can also perform denoising processing on the channel state information, for example, preprocessing, outlier removal, filtering denoising, subcarrier selection, characteristic point extraction and the like on the channel state information original data, and analyzing action information of a user through cloud machine learning, wherein the action information comprises turning over actions, getting-in actions, getting-out actions, standing actions, sitting actions, normal breathing frequency of a person, sleep breathing frequency and abnormal breathing frequency (apnea). And the cloud 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 cloud generates the temperature curve information, the corresponding temperature curve information can 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, which utilizes a cloud to analyze the habit of a user, provides more accurate temperature curve which accords with the habit of the user through strong computing power of the cloud, and improves the experience of the user.

and acquiring the corresponding channel state information acquired by the plurality of air conditioners.

In this embodiment of the present application, the cloud end may also obtain multiple channel state information sent by multiple air conditioners at the same time, and the manner of obtaining the channel state information is the same as that in the foregoing embodiment, which is not described in detail herein.

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 conduct independent analysis to generate corresponding temperature curve information. The manner of generating the temperature curve information is the same as that of the above embodiment, and will not be described here again.

After generating a plurality of temperature profile information, different temperature profile information can be returned to the air conditioner sent before being sent. The transmission manner is the same as that of the above embodiment, and details thereof are not described here.

The embodiment of the application provides a control method of an air conditioner, which utilizes cloud to analyze habits of a plurality of users, provides more accurate and more accords with different habits of different users through strong computing power of the cloud, namely, differentiated temperature curves can meet differentiated users, and improves experience of the users.

In order to better implement the method for controlling an air conditioner in the embodiment of the present application, above the method for controlling an air conditioner, the embodiment of the present application further provides a device for controlling an air conditioner, which is applied to a cloud, where the cloud is in communication connection with the air conditioner, as shown in fig. 3, and the device 300 includes:

an acquisition module 301, configured to acquire channel state information acquired 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 control device of air conditioner, through obtain module 301 acquires channel state information back, utilizes the generation module 302 analysis user's of high in the clouds custom, through the powerful computational power in high in the clouds, provides more accurate, more accords with the temperature curve of user custom, and rethread sending module 303 returns the temperature curve to corresponding air conditioner after, and the air conditioner alright be by oneself the temperature of control air-out, has improved user's experience.

In some embodiments of the present application, the generating module 302 is specifically configured to:

one or more processors;

a memory; and

The embodiment of the application also provides a cloud server, which integrates the control method of any air conditioner provided by the embodiment of the application, as shown in fig. 4, and shows a schematic structural diagram of the cloud server according to the embodiment of the application, specifically:

the cloud server may include one or more processors 401 of a processing core, one or more storage devices 402 of a computer readable storage medium, a power supply 403, an input unit 404, and the like. Those skilled in the art will appreciate that the server architecture shown in fig. 4 is not limiting of the server and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components. Wherein:

The processor 401 is a control center of the server, connects respective portions 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 (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and preferably, the processor 401 may integrate an application processor, which primarily handles operating systems, user interfaces, application programs, and the like, with a modem processor, which primarily handles 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 running 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 (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data created according to the use of the server, etc. In addition, 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 with access to the storage device 402.

The server also includes a power supply 403 for powering the various components, and preferably, the power supply 403 may be logically connected to the processor 401 by a power management system so as to implement functions such as charge, discharge, and power consumption management by the power management system. The power supply 403 may also include one or more of any of a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.

The server may also include an input unit 404, which input unit 404 may be used to receive entered 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 or the like, which is not described herein. In particular, in this embodiment, the processor 401 in the server loads executable files corresponding to the processes of one or more application programs into the storage device 402 according to the following instructions, and the processor 401 executes the application programs stored in the storage device 402, so as to implement various functions, for example:

acquiring channel state information acquired by the air conditioner;

a communication module;

one or more processors;

a memory; and

The embodiment of the application also provides an air conditioner, which integrates any one of the control devices of the air conditioner provided by the embodiment of the application, as shown in fig. 5, and shows a schematic structural diagram of the air conditioner according to the embodiment of the 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 the normal air conditioner, such as a compressor, a four-way valve, an electronic expansion valve, a low-pressure shut-off valve, a high-pressure shut-off valve, a gas-liquid separator, a low-pressure sensor, a high-pressure sensor, an external throttle device, an oil separator, an oil return capillary tube, and the like. It will be appreciated by those skilled in the art that the air conditioner configuration shown in fig. 5 is not limiting of the air conditioner and may include more or fewer components than shown, or may combine certain components, or may be 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 using various interfaces and lines, and performs 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 when the control method of the air conditioner is running. Optionally, processor 501 may include one or more processing cores; the processor 501 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A 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 that primarily handles operating systems, user interfaces, applications, etc. with a modem processor that primarily handles 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 the software programs and modules stored in the storage device 502 to perform various functional applications and data processing. 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, etc. In addition, 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 includes a power supply 503 for supplying power to the respective components, and preferably, the power supply 503 may be logically connected to the processor 501 through a power management system, so that functions of managing charging, discharging, and power consumption management are implemented through the power management system. The power supply 503 may also include one or more of any of a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.

The air conditioner may further include an input unit 504, and the input unit 504 may be used to receive input digital or character information and generate a remote control related to user settings and function control, a control panel of the air conditioner, or input through a smart home system such as a remote network, APP, or instant voice signal.

The communication module 505 of this air conditioner can be 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 server.

Although not shown, the air conditioner may further include a display unit or the like, for example, a display panel of the air conditioner for displaying operation parameters of the air conditioner, which will not be described herein in detail.

In addition, in this embodiment, the processor 501 in the air conditioner loads executable files corresponding to the processes of one or more application programs into the storage device 502 according to the following instructions, and the processor 501 executes 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.

Those of ordinary skill in the art will appreciate that all or a portion of the steps of the various methods of the above embodiments may be performed by instructions, or by instructions controlling associated hardware, which may be stored in a computer-readable storage medium and loaded and executed by a processor.

To this end, embodiments of the present application provide a computer readable storage medium, which may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like. On which a computer program is stored, which is loaded by a processor to perform the steps in any one of the control methods of an air conditioner provided in the embodiments of the present application. For example, the loading of the computer program by the processor may perform the steps of:

acquiring channel state information acquired by the air conditioner;

In the foregoing embodiments, the descriptions of the embodiments are focused on, and the portions of one embodiment that are not described in detail in the foregoing embodiments may be referred to in the foregoing detailed description of other embodiments, which are not described herein again.

In the implementation, each unit or structure may be implemented as an independent entity, or may be implemented as the same entity or several entities in any combination, and the implementation of each unit or structure may be referred to the foregoing method embodiments and will not be repeated herein.

The specific implementation of each operation above may be referred to the previous embodiments, and will not be described herein.

The foregoing describes in detail a control method and apparatus for an air conditioner provided in the embodiments of the present application, and specific examples are applied to describe the principles and embodiments of the present application, where the descriptions of the foregoing embodiments are only used to help understand the method and core ideas of the present application; meanwhile, those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present application, and the present description should not be construed as limiting the present application in view of the above.

Claims

1. The control method of the air conditioner is characterized by being applied to a cloud end, wherein 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;

the generating temperature curve information according to the channel state information includes:

generating temperature curve information according to the user physiological parameter information contained in the channel state information;

the generating temperature curve information according to the user physiological parameter information contained in the channel state information comprises the following steps:

generating unique temperature curve information according to the plurality of curve temperatures;

the generating unique temperature curve information according to the plurality of curve temperatures includes:

performing machine learning according to the plurality of curve temperatures to obtain a machine learning result, wherein the machine learning result represents the optimized curve temperature;

generating unique temperature curve information according to the machine learning result;

2. The method according to claim 1, wherein after performing machine learning according to the plurality of curve temperatures to obtain a machine learning result, the method further comprises:

3. The method for controlling an air conditioner according to claim 1, wherein after the channel state information acquired by the air conditioner is acquired, before the temperature profile information is generated according to the channel state information, the method further comprises:

4. The control method of the air conditioner is characterized by being applied to a cloud end, wherein the cloud end is in communication connection with a plurality of air conditioners, and the method comprises the following steps:

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;

Wherein the generating a plurality of temperature curve information according to the respective corresponding channel state information includes:

for each air conditioner, generating temperature curve information according to the user physiological parameter information contained in the corresponding channel state information;

the generating temperature curve information according to the user physiological parameter information contained in the corresponding channel state information comprises the following steps:

and generating unique temperature curve information according to the machine learning result, wherein the machine learning result represents the optimized curve temperature.

5. A control device of an air conditioner, which is applied to a cloud, wherein the cloud is in communication connection with the air conditioner, the device comprising:

6. A cloud server, the cloud server comprising:

one or more processors;

a memory; and

one or more applications, wherein the one or more applications 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 4.

7. An air conditioner, characterized in that the air conditioner comprises:

a communication module;

one or more processors;

a memory; and

8. A storage medium having stored thereon a computer program that is loaded by a processor to perform the control method of an air conditioner according to any one of claims 1 to 4.