CN110836513A - Household split air conditioner operation strategy based on behavior data learning - Google Patents

Household split air conditioner operation strategy based on behavior data learning Download PDF

Info

Publication number
CN110836513A
CN110836513A CN201911155973.1A CN201911155973A CN110836513A CN 110836513 A CN110836513 A CN 110836513A CN 201911155973 A CN201911155973 A CN 201911155973A CN 110836513 A CN110836513 A CN 110836513A
Authority
CN
China
Prior art keywords
temperature
air conditioner
winter
summer
tolerance
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
Application number
CN201911155973.1A
Other languages
Chinese (zh)
Other versions
CN110836513B (en
Inventor
简毅文
侯雨晨
郭锐敏
孙荣
徐国义
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing University of Technology
Original Assignee
Beijing University of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing University of Technology filed Critical Beijing University of Technology
Priority to CN201911155973.1A priority Critical patent/CN110836513B/en
Publication of CN110836513A publication Critical patent/CN110836513A/en
Application granted granted Critical
Publication of CN110836513B publication Critical patent/CN110836513B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety arrangements
    • F24F11/62Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63Electronic processing
    • F24F11/64Electronic processing using pre-stored data

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention relates to a household split air conditioner operation strategy based on behavior data learning, which records and stores behavior data of a user controlling the starting of an air conditioner compressor in the air conditioner operation process based on the grasp and consideration of human body to the thermal adaptation characteristics of non-air conditioner natural environment, further analyzing and processing the starting behavior data of the air conditioner compressor for a plurality of times to obtain the lower limit of the winter tolerance temperature and the upper limit of the summer tolerance temperature which are suitable for the individual heat comfort requirement of a single user, on the basis, the lower temperature tolerance limit in winter and the upper temperature tolerance limit in summer are used for replacing the lower temperature tolerance limit in winter and the upper temperature tolerance limit in summer respectively, the temperature control range of the operation of an air-conditioning compressor is enlarged, the operation strategy of the air conditioner is changed, the purposes of reducing the starting and stopping times of the air conditioner, prolonging the service life of the air conditioner and saving the electricity used by the air conditioner are achieved, and the diversified requirements of a human body on the indoor thermal environment can be met comprehensively and widely.

Description

Household split air conditioner operation strategy based on behavior data learning
Technical Field
The invention relates to the field of intelligent household appliances, in particular to the field of household air conditioners.
Background
The control logic commonly adopted by the existing household split air conditioner is as follows: the user sets the temperature of the indoor air conditioner through the air conditioner remote controller, and the split air conditioner determines the upper limit and the lower limit of the set temperature of the air conditioner and the room temperature variation range according to the temperature of the indoor air conditioner set by the user and the temperature precision of the temperature controller. In summer, when the internal temperature sensor detects that the return air temperature is lower than the lower limit of the set temperature of the air conditioner, the air conditioner compressor stops running; when the return air temperature is higher than the upper limit of the set temperature of the air conditioner, the air conditioner compressor starts to supply cold; in winter, when the internal temperature sensor detects that the return air temperature is higher than the upper limit of the set temperature of the air conditioner, the air conditioner compressor stops running; and when the return air temperature is lower than the set temperature lower limit of the air conditioner, the air conditioner compressor starts to supply heat. The temperature precision of the air-conditioning temperature controller is usually +/-1 ℃ or +/-0.5 ℃, and the fluctuation range of the indoor temperature is correspondingly +/-1 ℃ of the set temperature of the air conditioner or +/-0.5 ℃ of the set temperature of the air conditioner. To achieve this narrow near-constant temperature control, the air conditioning compressor will be frequently started and stopped during the operation of the air conditioner. This will affect the life of the air-conditioning product and increase the starting power consumption of the air-conditioning, on the other hand, the constant temperature and humidity environment is not good for the health and comfort of the indoor residents.
In a residential building using a split air conditioner, a resident turns on the air conditioner when feeling hot in summer and turns off the air conditioner when feeling cold, and turns on the air conditioner when feeling cold in winter and turns off the air conditioner when feeling hot in winter, and the resident can realize thermal adaptation to the indoor environment by the action of turning on and off the air conditioner. The investigation and analysis about the indoor thermal comfort condition of the summer residential building show that under the condition of the same room temperature, the thermal sensation of a human body in a summer non-air-conditioning natural environment is lower than that in a steady-state air-conditioning environment. Therefore, compared with the influence of air-conditioning cooling, the natural environment of the non-air-conditioning in summer can improve the upper limit of the room temperature at which the human body feels hot and comfortable, namely the adaptive temperature of the human body to the natural environment of the non-air-conditioning in summer is higher than the adaptive temperature to the cooling environment of the air-conditioning; similar research also finds that the adaptive temperature of the human body to the natural environment which is not air-conditioned in winter is lower than the adaptive temperature to the heating environment of the air conditioner. Based on this, researchers have proposed the concept of a tolerance temperature, which is a desired temperature for the air conditioning environment that a user artificially sets, and which is more important than the air conditioning setting temperature than depicting the tolerance limit of the user to the uncomfortable environment. The tolerance temperature comprises a summer tolerance temperature upper limit and a winter tolerance temperature lower limit, wherein the summer tolerance temperature upper limit refers to a temperature upper limit which can be tolerated by a person to the summer non-air-conditioning natural environment, and the winter tolerance temperature lower limit refers to a temperature lower limit which can be tolerated by the person to the winter non-air-conditioning natural environment. Considering the tolerance limit of a human body to a non-air-conditioning natural environment, under the working condition of summer operation, if the room temperature is lower than the set temperature lower limit of the air conditioner, the air-conditioning compressor stops operating, and after the room temperature rises and exceeds the set temperature upper limit of the air conditioner, the time interval for the air-conditioning compressor to work again depends on the difference value between the summer tolerance temperature upper limit and the set temperature of the air conditioner and increases along with the increase of the difference value. Similarly, for the winter operation condition of heating by using the air conditioner, if the room temperature is higher than the upper limit of the set temperature of the air conditioner, the air conditioner compressor stops operating, and after the room temperature is reduced to be lower than the lower limit of the set temperature of the air conditioner, the time interval for the air conditioner compressor to work again depends on the difference between the set temperature of the air conditioner and the lower limit of the winter tolerance temperature and increases along with the increase of the difference between the set temperature of the air conditioner and the lower.
Therefore, according to the basic characteristic of human body to the thermal adaptation of non-air-conditioning natural environment, a novel household split air-conditioning operation strategy needs to be developed, the working temperature range of the air-conditioning compressor can be automatically adjusted according to the difference of human body to the thermal tolerance of non-air-conditioning natural environment, the requirement of the human body to the diversification of indoor thermal environment is more comprehensively and widely met, a comfortable and healthy indoor environment is created, and the purposes of reducing the number of times of starting and stopping the air conditioner, prolonging the service life of the air conditioner and saving the electricity consumption of the air conditioner are achieved.
Disclosure of Invention
The invention aims to: on the basis of the thermal adaptation characteristic of a human body to a non-air-conditioning natural environment, the correlation between the set temperature of the air conditioner and the thermal tolerance temperature of the human body is comprehensively considered, and on the basis of recording and analyzing the use behavior data of the user air conditioner, the lower temperature tolerance limit in winter and the upper temperature tolerance limit in summer suitable for the personalized thermal comfort requirement of the user are obtained, so that the diversification and personalization of the indoor thermal environment requirement of the user are embodied.
In order to achieve the purpose, the lower limit of the winter tolerance temperature of a single user replaces the lower limit of the air conditioner set temperature under the working condition of winter operation, and the upper limit of the summer tolerance temperature of the single user replaces the upper limit of the air conditioner set temperature under the working condition of summer operation, so that the temperature control range of the operation of the air conditioner compressor and the operation strategy of the air conditioner are changed, namely, the air conditioner compressor starts to supply cold only when the return air temperature is higher than the upper limit of the summer tolerance temperature but not the upper limit of the air conditioner set temperature in summer; and only when the return air temperature is lower than the lower limit of the winter tolerance temperature but not the lower limit of the air conditioner set temperature in winter, the air conditioner compressor starts to supply heat.
The temperature control range of the operation of the air conditioner compressor under the summer working condition is (the lower limit of the set temperature of the summer air conditioner, the upper limit T of the summer tolerance temperature)k) Wherein the lower limit of the set temperature of the summer air conditioner is-1 ℃ or 0.5 ℃ of the set temperature of the summer air conditioner;
the temperature control range of the operation of the air-conditioning compressor under the working condition in winter is (lower limit T of temperature tolerated in winter)kUpper limit of air-conditioning set temperature in winter), the upper limit of air-conditioning set temperature in winter is equal to the air-conditioning set temperature in winter +1 ℃ or 0.5 ℃.
Advantageous effects
The invention provides a behavior data learning-based household split air conditioner operation strategy, which can meet the requirements of human bodies on diversification and individuation of indoor thermal environments to the maximum extent, build comfortable and healthy indoor environments, and achieve the aims of reducing the starting and stopping times of an air conditioner, prolonging the service life of the air conditioner and reducing the power consumption at the same time.
Drawings
FIG. 1 is a schematic block diagram of the method.
Detailed Description
Summer working condition:
the user sets the indoor air conditioner temperature through the remote controller, if the temperature in summer is 26 ℃, the preset indoor temperature fluctuation range of the traditional air conditioner remote controller is usually 26 +/-1 ℃ or 26 +/-0.5 ℃, namely under the condition that the temperature controller precision is +/-1 ℃, after the user starts to operate the air conditioner in summer, the compressor starts to work, and when the indoor temperature is lower than 25 ℃, the compressor stopsStopping operation, gradually raising indoor temperature, and starting operation again when the indoor temperature is higher than 27 ℃. In order to meet the requirements of users on diversification and individuation of indoor thermal environments, the invention obtains the heat tolerance temperature of a single user to the environment by continuously learning the use behavior data of the user to the split air conditioner. The specific learning mode is as follows: starting the air conditioner for k-2 times, setting the indoor air conditioner temperature to 26 deg.C, stopping the compressor when the indoor temperature is lower than 25 deg.C, gradually increasing the indoor temperature, and selecting the compressor not to work when the indoor temperature reaches 27 deg.C, but starting the compressor again for refrigeration when the indoor temperature reaches 28 deg.C, and recording Pk-2The temperature is 28 ℃; if the user feels a heat bias at an indoor temperature of 27 ℃, a time advance method is adopted, and the compressor is started in advance when the indoor temperature does not reach 27 ℃ but 26.9 ℃ is adopted, wherein P isk-226.9 ℃. Similarly, the indoor temperature P when the user starts the compressor again in the process of starting the air conditioner for the k-1 th time is recordedk-128.5 deg.c, so according to the formula Tk=(Tk-1+(Pk-1+Pk-2)/2)/2The summer tolerance temperature upper limit T of the k-th use of the air conditioner of the user can be obtainedkWherein T isk-1The upper limit of the temperature tolerance of the k-1 summer is shown. K times (k) with a sufficiently large number of pairs>100) Air conditioner operation control data TkThe summer tolerance temperature upper limit T of the subsequent arrayk+1The temperature tends to be a fixed value, and the upper limit of the summer tolerance temperature suitable for a single user is calculated and determined.
The calculation principle of the lower limit of the winter tolerance temperature is obtained by analyzing the control data of the user cold/hot delay adjustment. For the lower temperature tolerance limit in winter, the start of the compressor can be delayed if the occupant is still acceptable for the indoor hot environment during the reduction of the room temperature, and the compressor can be started in advance if the occupant feels cold. K times (k) with a sufficiently large number of pairs>100) Air conditioner operation control data TkThe lower limit T of the winter tolerance temperature of the subsequent arrayk+1And the temperature of the winter tolerance is also tended to be a fixed value, so that the lower limit of the winter tolerance temperature suitable for a single user is calculated and determined.
The use data of a user on the indoor environment temperature control of the household split air conditioner is recorded, the winter tolerance temperature lower limit and the summer tolerance temperature upper limit of a single user are obtained through learning the operation control behavior data of the air conditioner for enough times (k >100), and then the winter tolerance temperature lower limit and the summer tolerance temperature upper limit of the air conditioner are replaced respectively, the operation temperature control range of an air conditioner compressor is correspondingly enlarged, and the operation strategy of the air conditioner is changed. That is, in summer, the air-conditioning compressor starts to supply cold only when the return air temperature is higher than the upper limit of the summer tolerance temperature instead of the upper limit of the set temperature of the summer air-conditioning; and only when the return air temperature is lower than the lower limit of the winter tolerance temperature instead of the lower limit of the winter air conditioner set temperature, the air conditioner compressor starts to supply heat in winter.
The optimization of the operation strategy of the household split air conditioner can be continuously adjusted and perfected. When the main body of the user changes or the self thermal adaptation characteristics and the behavior habits of the user change, enough air conditioner operation control data can be obtained for multiple times through the method, new upper limit of the summer tolerance temperature and new lower limit of the winter tolerance temperature are obtained through calculation, and the air conditioner operation strategy is readjusted accordingly.
The above embodiments are merely illustrative of the present invention and are not intended to limit the present invention. Although the embodiments of the present invention have been described, those skilled in the art may make changes, modifications, substitutions and alterations to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims (3)

1. A household split air conditioner operation strategy based on behavior data learning is characterized in that: the lower limit of the winter tolerance temperature of a single user replaces the lower limit of the set temperature of the air conditioner in winter, the upper limit of the summer tolerance temperature of the single user replaces the upper limit of the set temperature of the air conditioner in summer, and the lower limit of the winter tolerance temperature of the single user is used for changing the temperature control range of the operation of the air conditioner compressor,
the operating temperature control range of the summer air conditioner compressor is (lower limit of set temperature of the summer air conditioner, upper limit T of allowable temperature of the summerk) Wherein the lower limit of the set temperature of the summer air conditioner is-1 ℃ or 0.5 ℃ of the set temperature of the summer air conditioner;
the starting temperature range of the air conditioner compressor in winter is (lower limit T of winter tolerance temperature)kUpper limit of air-conditioning set temperature in winter), the upper limit of air-conditioning set temperature in winter is equal to the air-conditioning set temperature in winter +1 ℃ or 0.5 ℃.
2. The behavior data learning-based operating strategy of a domestic split air conditioner according to claim 1, wherein: the method for determining the upper limit of the summer tolerance temperature comprises the following steps: after the user manually turns on the running air conditioner each time, the current summer tolerance temperature upper limit is determined by the previous relevant temperature, wherein the kth summer tolerance temperature upper limit TkThe calculation formula of (a) is as follows:
Tk=(Tk-1+(Pk-1+Pk-2)/2)/2
wherein, Pk-1Indicates the indoor environment temperature when the compressor is restarted after the k-1 th time of the summer of the user artificially starts the running air conditioner, and when the T isk-Tk-1<Tolerance upper temperature limit T in summer at AkThe correction of (1) is finished, wherein the range of the error A (0.1-0.3 ℃) is T under the condition that the set temperature of the air conditioner in summer is 26 ℃ and the temperature precision of the temperature controller is 1 DEG C1=P1=P2=27℃。
3. The behavior data learning-based operating strategy of a domestic split air conditioner according to claim 1, wherein: the method for determining the lower limit of the winter tolerance temperature comprises the following steps: after the user manually turns on the running air conditioner each time, the lower limit of the current winter tolerance temperature is determined by the previous relevant temperature, wherein the lower limit T of the kth winter tolerance temperature iskThe calculation formula of (a) is as follows:
Tk=(Tk-1+(Pk-1+Pk-2)/2)/2
wherein, Pk-1Indicates the indoor environment temperature when the compressor is restarted after the user manually starts the running air conditioner for the k-1 th time in winter, and when the temperature is Tk-Tk-1<The lower limit T of the temperature tolerance in winter when A is usedkThe correction of (1) is finished, wherein the range of the error A (0.1-0.3 ℃) is T, for the condition that the temperature setting of the air conditioner in winter is 20 ℃ and the temperature precision of the temperature controller is 1 DEG C1=P1=P2=19℃。
CN201911155973.1A 2019-11-22 2019-11-22 Household split air conditioner operation strategy based on behavior data learning Active CN110836513B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911155973.1A CN110836513B (en) 2019-11-22 2019-11-22 Household split air conditioner operation strategy based on behavior data learning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911155973.1A CN110836513B (en) 2019-11-22 2019-11-22 Household split air conditioner operation strategy based on behavior data learning

Publications (2)

Publication Number Publication Date
CN110836513A true CN110836513A (en) 2020-02-25
CN110836513B CN110836513B (en) 2021-09-14

Family

ID=69577051

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911155973.1A Active CN110836513B (en) 2019-11-22 2019-11-22 Household split air conditioner operation strategy based on behavior data learning

Country Status (1)

Country Link
CN (1) CN110836513B (en)

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS60152854A (en) * 1984-01-23 1985-08-12 Matsushita Electric Ind Co Ltd Air conditioning temperature setting device
JP2003316448A (en) * 2002-04-23 2003-11-07 Nippon Spindle Mfg Co Ltd Temperature control method and its device
JP2006162168A (en) * 2004-12-08 2006-06-22 Toshiba Kyaria Kk Air conditioner
CN101201202A (en) * 2006-12-13 2008-06-18 纪睿 Method for controlling temperature of limitation of heat-production tiptop room temperature and refrigeration lowest room temperature of central air-conditioning
CN101737901A (en) * 2009-12-16 2010-06-16 深圳市艾苏威尔科技发展有限公司 Method and system for controlling operation of constant-frequency air conditioner for base station
CN101865513A (en) * 2010-06-23 2010-10-20 长沙理工大学 Multi-mode independent temperature control method and air conditioner
US20150124850A1 (en) * 2013-11-04 2015-05-07 Honeywell International Inc. Detecting temperature sensor anomalies in connected thermostats
CN104676841A (en) * 2015-03-02 2015-06-03 珠海格力电器股份有限公司 Air conditioner temperature control method and air conditioner temperature control system
KR200478906Y1 (en) * 2015-07-02 2015-12-11 김병철 Auto temperature control device and system thereof
JP2016041225A (en) * 2014-08-19 2016-03-31 株式会社大林組 Operation room, and air-conditioning system and air-conditioning method of the same
CN107990503A (en) * 2017-11-30 2018-05-04 四川兴龙腾科技有限公司 The control method of indoor temperature
CN109405219A (en) * 2018-11-06 2019-03-01 宁波奥克斯电气股份有限公司 A kind of high-temperature refrigeration control method and air conditioner
CN110285536A (en) * 2019-06-27 2019-09-27 海信(山东)空调有限公司 A kind of control method and device of temperature control equipment
CN110296500A (en) * 2019-07-10 2019-10-01 珠海格力电器股份有限公司 The unit maintenance requirements for being resistant to situation based on user determine method, apparatus and air-conditioning

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS60152854A (en) * 1984-01-23 1985-08-12 Matsushita Electric Ind Co Ltd Air conditioning temperature setting device
JP2003316448A (en) * 2002-04-23 2003-11-07 Nippon Spindle Mfg Co Ltd Temperature control method and its device
JP2006162168A (en) * 2004-12-08 2006-06-22 Toshiba Kyaria Kk Air conditioner
CN101201202A (en) * 2006-12-13 2008-06-18 纪睿 Method for controlling temperature of limitation of heat-production tiptop room temperature and refrigeration lowest room temperature of central air-conditioning
CN101737901A (en) * 2009-12-16 2010-06-16 深圳市艾苏威尔科技发展有限公司 Method and system for controlling operation of constant-frequency air conditioner for base station
CN101865513A (en) * 2010-06-23 2010-10-20 长沙理工大学 Multi-mode independent temperature control method and air conditioner
US20150124850A1 (en) * 2013-11-04 2015-05-07 Honeywell International Inc. Detecting temperature sensor anomalies in connected thermostats
JP2016041225A (en) * 2014-08-19 2016-03-31 株式会社大林組 Operation room, and air-conditioning system and air-conditioning method of the same
CN104676841A (en) * 2015-03-02 2015-06-03 珠海格力电器股份有限公司 Air conditioner temperature control method and air conditioner temperature control system
KR200478906Y1 (en) * 2015-07-02 2015-12-11 김병철 Auto temperature control device and system thereof
CN107990503A (en) * 2017-11-30 2018-05-04 四川兴龙腾科技有限公司 The control method of indoor temperature
CN109405219A (en) * 2018-11-06 2019-03-01 宁波奥克斯电气股份有限公司 A kind of high-temperature refrigeration control method and air conditioner
CN110285536A (en) * 2019-06-27 2019-09-27 海信(山东)空调有限公司 A kind of control method and device of temperature control equipment
CN110296500A (en) * 2019-07-10 2019-10-01 珠海格力电器股份有限公司 The unit maintenance requirements for being resistant to situation based on user determine method, apparatus and air-conditioning

Also Published As

Publication number Publication date
CN110836513B (en) 2021-09-14

Similar Documents

Publication Publication Date Title
CN107525234B (en) Method and device for frequency conversion protection of air conditioner compressor
CN108826601B (en) Air conditioner, control method thereof and human body sensor
CN111140984A (en) Water multi-connected central air conditioner control method, computer readable storage medium and air conditioner
CN102147138B (en) Method for controlling sleep mode of air conditioner
CN102147137B (en) Temperature and humidity linkage control method of air conditioner
US20100292849A1 (en) Adaptive intelligent circulation control methods and systems
US20100006662A1 (en) Air conditioning control system, supply air switching controller for use in the air conditioning control system, and air conditioning control method
CN103388880A (en) Control method of air conditioner
CN111237995B (en) Control method of air conditioner cooler
CN108119990A (en) Air source heat pump and its control method and device
CN110631211A (en) Air conditioner control method and device
CN104214888B (en) Air-conditioner and its temprature control method, device
WO2019227851A1 (en) Water-system air conditioner control method
CN108758978A (en) Central air-conditioning energy automatic control method and air-conditioning
CN112797571A (en) Intelligent fresh air system and control method thereof
CN103884083A (en) Energy-saving environment-friendly intelligent air conditioning system and work mode thereof
CN105066365A (en) Air conditioner radio-frequency remote control method
CN110793135A (en) Floor heating and air conditioning integrated machine
WO2021228023A1 (en) Energy-saving operation method for air-conditioning unit
CN110836513B (en) Household split air conditioner operation strategy based on behavior data learning
CN110986315B (en) Indoor temperature dynamic regulation and control method based on centralized air-conditioning system
WO2018196577A1 (en) Air conditioner heating control method
CN105202693A (en) RF (radio frequency) remote control method for air conditioner
CN111550903A (en) Air conditioner control method
CN114992814A (en) Air conditioner comfort control method and system and air conditioner

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