CN107504656A - A kind of air conditioner Learning Control Method and system - Google Patents
A kind of air conditioner Learning Control Method and system Download PDFInfo
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- CN107504656A CN107504656A CN201710834320.0A CN201710834320A CN107504656A CN 107504656 A CN107504656 A CN 107504656A CN 201710834320 A CN201710834320 A CN 201710834320A CN 107504656 A CN107504656 A CN 107504656A
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Abstract
The invention discloses a kind of air conditioner Learning Control Method and system.Described air conditioner automatic learning control system includes an information acquisition module and an automatic control module, wherein：Described information acquisition module collection user is turned on or off the data of air conditioner using remote control or APP, and is sent to described automatic control module；The automatic control module is analyzed and processed by the switching on and shutting down custom of self study user to the data of collection, identifies the switching on and shutting down period of air conditioner；Switching on and shutting down period of the automatic control module respectively to air conditioner is handled, and determines the switching on and shutting down time of air conditioner；Switching on and shutting down time of the automatic control module to air conditioner automatically controls.Behavioural habits of the present invention according to user, the unused time of air-conditioning is predicted, air conditioner intelligentized control method can be achieved.
Description
Technical field
The present invention relates to air-conditioning technical field, more particularly to a kind of air conditioner Learning Control Method and system.
Background technology
Use for air conditioner, most people all follow simple repeat pattern, such as torridity summer, air conditioner user
Conventional refrigeration mode, after get up in the morning, air-conditioning is opened, leave home to close air-conditioning during working, come off duty go back home at night, can be again turned on
Air-conditioning, air-conditioning can be closed before sleep, or air-conditioning is arranged to timing shutdown.The control majority to air-conditioning is all using biography above
The control method of system, air-conditioning is controlled by the button on manual manipulation remote control.
However, inconvenience be present in the method for this control air-conditioning, it is that the open and close repeated is brought very to user first
Big inconvenience, moreover, sometimes, when user goes to work hastily, often forgetting to close air-conditioning, causing waste of energy.Secondly, pass through
Manual manipulation remote control, the button in remote control is pressed come the control to realizing each function of air-conditioning, lacks intellectuality, it is impossible to realize
Automatically control.
Counted according to scientific research, although there is a few peoples' behavioral activity irregular, most people follows simple repetition
Pattern.One is published in《Science》Research on magazine finds that 93% human behavior is foreseeable, and prediction mode is root
According to following content of the act of the action trail prediction individual before individual.Based on this, and following all plant equipment will be towards
Artificial intelligence direction is developed, therefore, it is necessary to a kind of scheme of air-conditioning Learning Control Method of developmental research is carried out, to realize air-conditioning
It is intelligent so that air-conditioning can allow air-conditioning virtually being brought more to user by the use habit of continuous self study user
The experience of comfortable air temperature modification.
The content of the invention
To solve existing technical problem, the present invention proposes a kind of air conditioner Learning Control Method and system, with
The intellectuality of air-conditioning is improved, the comfortableness that user uses air-conditioning is improved, allows air-conditioning virtually bringing more comfortable sky to user
The experience of gas temperature adjustment.
To reach above-mentioned purpose, what the technical scheme of the embodiment of the present invention was realized in：
A kind of air conditioner Learning Control Method, including an information acquisition module and an automatic control module, described self study
Control method comprises the following steps：
Step S10：Described information acquisition module collection user is turned on or off the number of air conditioner using remote control or APP
According to, and the data of collection are sent to the automatic control module；
Step S11：The automatic control module is carried out at analysis by the switching on and shutting down custom of self study user to the data of collection
Reason, identify the switching on and shutting down period of air conditioner；
Step S12：Switching on and shutting down period of the automatic control module respectively to air conditioner is handled, and determines opening for air conditioner
Shut down the moment；
Step S13：Switching on and shutting down time of the automatic control module to air conditioner automatically controls.
In one embodiment, the automatic control module is arranged on cloud server, the data of described information acquisition module collection
Sent by a communication module to the automatic control module of cloud server, the automatic module by real-time performance to air conditioner from
Dynamic control.
The data gathered in step S10 include time data and weather data, when the time data is defined as the date
Every minute and second, the weather data are defined as：Period/weather condition/outdoor environment temperature/outdoor air relative humidity/outdoor is empty
Makings amount.
The available machine time section of air conditioner is identified in the step S11 to be included：
Step S1100. defines the available machine time sensitive factor of air conditioner；
Step S1101. is in units of 10 days, record ith start moment Ton-i；
Step S1102. was divided into 24 hours section by one day, and recorded the period residing for the start moment；
Step S1103. is within 10 day period, respectively to available machine time sensitive factor γ in 24 hour periodStartSummation,
Be designated as n-th hours section：∑γStart shooting n(24 hours of n 1,2,3 ... section)；
Step S1104. is within 10 day period, to time-sensitive factor gamma of starting shootingStartSummation, is designated as：∑γStart shooting i(i is
Start number)；
Step S1105. when meeting following condition simultaneously, then it is assumed that n-th hour is available machine time section：
(1)∑γStart shooting n/∑γStart shooting i>=a1%；
Started shooting in (2) 10 days in the n-th period number of days >=d1 days；
(3) indoor circumstance temperature >=Tc1 degree.
The unused time section of air conditioner is identified in the step S11 to be included：
Step 1106. defines the unused time sensitive factor of air conditioner；
Step 1107. is in units of 10 days, record ith shutdown moment Toff-i；
Step 1108. was divided into 24 hours section by one day, and recorded the period residing for the shutdown moment；
Step 1109. is within 10 day period, respectively to machine time-sensitive factor gamma of being shut down in 24 small periodsShutdownSummation, note
For m hours sections：∑γStart shooting m(24 hours of m 1,2,3 ... section)；
Step 1110 is within 10 day period, to time-sensitive factor gamma of starting shootingShutdownSummation, is designated as ∑ γShut down i(i is shutdown
Number)；
Step 1111. when meeting following condition simultaneously, then it is assumed that m hours are unused time section：
(1)∑γShut down m/∑γShut down i>=a2%；
Shut down number of days >=d2 days in (2) 10 days in the m periods；
(3) indoor circumstance temperature≤Tc2 degree.
Determine that the available machine time of air conditioner includes in the step S12：The start in all available machine time sections is recorded respectively
Time ton-n-i, calculate n-th hours section the self study available machine time,
Wherein,
The self study available machine time is represented, unit is：1min；
ton-n-iThe actual available machine time in the n-th available machine time section is represented, unit is：1min；
Timen-onRepresent the start total degree in n-th hour available machine time section in 10 days.
Determine that the unused time of air conditioner includes in the step S12：The shutdown in all unused time sections is recorded respectively
Time toff-m-i, the self study unused time of calculating m hours sections,
Wherein：
The self study unused time calculated is represented, unit is：1min；
toff-m-iThe actually powered off time in m unused time sections is represented, unit is：1min；
Timem-offRepresent the shutdown total degree in m unused time hour sections in 10 days.
Step S13 includes directly controlling the switching on and shutting down of air conditioner, or by APP pushed informations, reminds user's switching on and shutting down.
The present invention also proposes a kind of air conditioner automatic learning control system, including an information acquisition module and an automatic control module,
It is characterized in that：
Described information acquisition module collection user is turned on or off the data of air conditioner using remote control or APP, concurrently
It is sent to described automatic control module；
The automatic control module is analyzed and processed by the switching on and shutting down custom of self study user to the data of collection, is identified
The switching on and shutting down period of air conditioner；
Switching on and shutting down period of the automatic control module respectively to air conditioner is handled, when determining the switching on and shutting down of air conditioner
Between；
Switching on and shutting down time of the automatic control module to air conditioner automatically controls.
In one embodiment, the automatic control module is arranged on cloud server, the data of described information acquisition module collection
Sent by a communication module to the automatic control module of cloud server, the automatic module by real-time performance to air conditioner from
Dynamic control.
The beneficial effect of technical solution of the present invention is：
Behavioural habits of the present invention according to user, the unused time of air-conditioning is predicted, air conditioner intelligent can be achieved, can pass through
The use habit of continuous self study user, allows air-conditioning virtually bringing the body of more comfortable air temperature modification to user
Test, improve the comfortableness that user uses air-conditioning.
Brief description of the drawings
Fig. 1 is the flow chart of air conditioner Learning Control Method of the present invention.
Fig. 2 is the schematic diagram of the embodiment of air conditioner automatic learning control system one of the present invention.
Fig. 3 is the flow chart for the available machine time section for identifying air conditioner.
Fig. 4 is the flow chart for the unused time section for identifying air conditioner.
Embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention and attached
Figure, technical solution of the present invention is described in detail.
Air conditioner Learning Control Method of the present invention passes through continuous self study user according to the behavioural habits before user
Use habit, carry out self study, predict the switching on and shutting down time of air-conditioning, so as to improve air conditioner intelligent, realize air conditioner intelligent,
Brought convenience for user.
Air conditioner automatic learning control system proposed by the present invention includes an information acquisition module and an automatic control module.Such as Fig. 1
Shown, air conditioner Learning Control Method proposed by the present invention comprises the following steps：
Step S10：Described information acquisition module collection user is turned on or off the number of air conditioner using remote control or APP
According to, and automatic control module is sent to by communication module.
Fig. 2 is the schematic diagram of one embodiment of the invention, and in the embodiment, automatic control module is placed on high in the clouds, information acquisition module
User is gathered to the use habit data of air conditioner operation, and will be used by with communication module, such as by family wifi internets
The data that family is turned on or off air-conditioning upload to cloud server, service carry out Treatment Analysis to data beyond the clouds, through processing
The switching on and shutting down time analyzed will control being turned on or off for air-conditioning.
The data of collection include time data and weather data.The input of time data comprises the following steps：
Air-conditioner set is connected with APP client networks, the synchronizing network time；Wherein, the information of time includes the date
Hour Minute Second, xx divides the xx seconds when time data form is the xxxx xx xx month, xx day.
Specifically, air-conditioner set used the random process synchronization primary network time at interval of 24 hours；APP clients according to
The mobile phone default setting synchronizing network time.
The input of the weather data includes：Weather information using the weather of air-conditioner set position as input, tool
Body includes：The information such as period, weather condition, outdoor environment temperature, outdoor air relative humidity and Outdoor Air Quality.This
In inventive embodiments, the form of weather data is：Period/weather condition/outdoor environment temperature/outdoor air relative humidity/
Outdoor Air Quality, such as：16:00-17:00/ sunny/30 DEG C/96%/excellent.
Step S11：Automatic control module is analyzed and processed by the switching on and shutting down custom of self study user to the data of collection, is known
Do not go out the switching on and shutting down period of air conditioner.
Specifically comprise the following steps：
Step S1100：Define the switching on and shutting down time-sensitive factor.Big data statistics is carried out according to the use habit to user,
Wherein, the period of air-conditioning is often used in user, the time-sensitive factor is high, and the period for the air-conditioning that is of little use in user, time are quick
It is small to feel the factor, and the time-sensitive factor at weekend is slightly above the time-sensitive factor of the week.In the embodiment of the present invention,
The switching on and shutting down time-sensitive factor of every 1 hours section is defined as follows shown in table 1 in 24 hours.
The switching on and shutting down time-sensitive factor gamma of table 1
Step S1101：In units of 10 days, record ith start moment Ton-I。
From first day 00:00 started, by the 10th day 23:At 59 moment, the record ith start moment is Ton-i。
Step S1102：It was divided into 24 hours section by one day, and records the period residing for the start moment；
Specifically, it was divided into 24 hours section by one day, and records the period residing for the start moment.After full 10 days,
An available machine time section is updated according to window mode is drawn within every 1 day.After reaching 10 days, the data of the 11st day are exactly the data on the addition same day
And remove current file leader's data of first day, it is exactly the data on the addition same day within the 12nd day, and remove current file leader's number of first day
According to holding only stores the data of 10 days, updates an available machine time section in this way within every 1 day.In the present embodiment exemplified by 10 days,
Certainly, 10 days are not merely limited to.
Step S1103：Within 10 day period, respectively to available machine time sensitive factor γ in 24 hour periodStartSummation,
Be designated as n-th hours section：∑γStart shooting n(24 hours of n 1,2,3 ... section).
Step S1104：Within 10 day period, to time-sensitive factor gamma of starting shootingStartSummation, is designated as：∑γStart shooting i(i is
Start number).
Step S1105：When meeting following condition simultaneously, then it is assumed that n-th hour is available machine time section：
(1)∑γStart shooting n/∑γStart shooting i≥a1；
The number of days started shooting in (2) 10 days in the n-th period >=d1 days；
(3) indoor circumstance temperature >=Tc1 (circumstance temperature≤T in room during heatingh1)
Wherein, 15%≤a1≤25% (unit：Percentage)；
4≤d1≤6 (unit：Number of days)；
20℃≤Tc1≤26℃；
10℃≤Th1≤15℃；
It is possible that multiple available machine time sections in 24 hours one day.If available machine time section is adjacent, available machine time section
Merge, it is believed that this time adjacent segments is user's available machine time section.
The unused time section of air conditioner is identified in the step S11 to be included：
Step 1106：Define the switching on and shutting down time-sensitive factor of air conditioner；
Step 1107：In units of 10 days, record ith shutdown moment Toff-i；
Specifically, from first day 00:00 started, by the 10th day 23:At 59 moment, the record ith shutdown moment is Toff-i。
Step 1108：It was divided into 24 hours section by one day, and records the period residing for the shutdown moment；Specifically,
It was divided into 24 hours section by one day, and records the period residing for the shutdown moment, after full 10 days, every 1 day according to a stroke window side
Formula updates a unused time section.After reaching 10 days, the data of the 11st day are exactly the data on the addition same day and remove current file leader
The data of first day, it is exactly the data on the addition same day within the 12nd day, and removes current file leader's data of first day, keeps only storage 10
It data, a unused time section are updated in this way within every 1 day.In the present embodiment exemplified by 10 days, certainly, not merely limit
It is scheduled on 10 days.
Step 1109：Within 10 day period, respectively to machine time-sensitive factor gamma of being shut down in 24 small periodsShutdownSummation, note
For m hours sections：∑γStart shooting m(24 hours of m 1,2,3 ... section)；
Step 1110：Within 10 day period, to time-sensitive factor gamma of starting shootingShutdownSummation, is designated as ∑ γShut down i(i is pass
Machine number)
Step 1111：When meeting following condition simultaneously, then it is assumed that m hours are unused time section：
(1)∑γShut down m/∑γShut down i≥a2；
Shut down number of days >=d2 in (2) 10 days in the m periods；
(3) indoor circumstance temperature≤Tc2 (during heating >=Th2)
Wherein：15%≤a2≤25% (percentage)；
4≤d2≤6 (number of days)；
26℃≤Tc2≤29℃；(temperature)
5℃≤Th1≤10℃；
It is possible that multiple unused time sections in 24 hours one day.If unused time section is adjacent, unused time section
Merge, it is believed that this time adjacent segments is user's unused time section.
Step S12：Switching on and shutting down period of the automatic control module respectively to air conditioner is handled, and determines the switching on and shutting down of air conditioner
Time.
The available machine time is calculated, records the available machine time t in all available machine time sections respectivelyon-n-i, calculated for the n-th hours
The self study available machine time of section.
From first day 00:00 started, by the 10th day 23:59 moment terminated, and updated a self study available machine time.It is full 10 days
Afterwards, the data of the 11st day are exactly the data on the addition same day and remove current file leader's data of first day, and the 12nd day is exactly that addition is worked as
It data, and remove current file leader's data of first day, the data of only storage 10 days are kept, update one in this way within every 1 day
The secondary self study available machine time.In the present embodiment exemplified by 10 days, certainly, 10 days are not merely limited to.
The self study available machine time：
Wherein：
The self study available machine time is represented, unit is：1min；
ton-n-iThe actual available machine time in the n-th available machine time section is represented, unit is：1min；
Timen-onRepresent the start total degree in n-th hour available machine time section in 10 days.
Self study is arrivedTime, 30min obtains the outdoor weather situation located where air-conditioning before start, if refrigeration mode
Under, outdoor temperature >=TWeather1, outdoor temperature≤T under heating modeWeather2；Then start operation.
25℃≤TWeather1；
TWeather2≤15℃；
The unused time is calculated, records the unused time t in all unused time sections respectivelyoff-m-i, calculate m hours
The self study unused time of section.
From first day 00:00 started, by the 10th day 23:59 moment terminated, and updated a self study unused time.It is full 10 days
Afterwards, the data of the 11st day are exactly the data on the addition same day and remove current file leader's data of first day, and the 12nd day is exactly that addition is worked as
It data, and remove current file leader's data of first day, the data of only storage 10 days are kept, update one in this way within every 1 day
The secondary self study unused time.In the present embodiment exemplified by 10 days, certainly, 10 days are not merely limited to.
The self study unused time：
Wherein：
The self study unused time calculated is represented, unit is：1min；
toff-m-iThe actually powered off time in m unused time sections is represented, unit is：1min；
Timem-offRepresent the shutdown total degree in m unused time hour sections in 10 days.
Self study is arrivedTime, then air-conditioning is shut down at the moment.If this period air-conditioning is in the power-offstate,
Then without processing.
Step S13：Switching on and shutting down time of the cloud server to air conditioner automatically controls.
After the switching on and shutting down time calculates, air-conditioning can be directly turned on or off at the time point calculated.Certainly,
The switching on and shutting down time advance calculated can also be pushed to user APP, be decided whether to be turned on or off air-conditioning by user.
If user receives the message of this prompting, air-conditioning is turned on or off, if user does not receive this prompting message, to air-conditioning
Device is without control.
In the embodiment of the present invention, the factor in switching on and shutting down time-sensitive factor table is a kind of optimal form, other according to
This method, factor value is changed, also in the scope of the present invention.The period that the embodiment of the present invention uses, is to retouch
State more specifically, using other similar methods time by stages, also in protection domain.According to one in the embodiment of the present invention
Its 24h period comes by stages, can also come per half an hour, or per quarter time subregion.
Air conditioner automatic learning control system proposed by the present invention, including one be arranged on information gathering mould on air conditioner mainboard
Block and an automatic control module, automatic control module can be located on air conditioner mainboard, can also be arranged on cloud server, latter feelings
Condition information acquisition module passes through the automatic control module communication on a communication module and cloud server.In the embodiment shown in Figure 2,
Information acquisition module collection user is turned on or off the data of air conditioner using remote control or APP, and by communication module
The automatic control module passed on cloud server.Automatic control module is carried out by the switching on and shutting down custom of self study user to the data of collection
Analyzing and processing, identify the switching on and shutting down period of air conditioner and switching on and shutting down time and switching on and shutting down time to air conditioner carry out it is automatic
Control.
The foregoing is only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent substitution and improvements made etc., it should be included in the scope of the protection.
Claims (12)
1. a kind of air conditioner Learning Control Method, it is characterised in that described including an information acquisition module and an automatic control module
Learning Control Method comprise the following steps：
Step S10：Described information acquisition module collection user is turned on or off the data of air conditioner using remote control or APP,
And the data of collection are sent to the automatic control module；
Step S11：The automatic control module is analyzed and processed by the switching on and shutting down custom of self study user to the data of collection, is known
Do not go out the switching on and shutting down period of air conditioner；
Step S12：Switching on and shutting down period of the automatic control module respectively to air conditioner is handled, and determines the switching on and shutting down of air conditioner
Moment；
Step S13：Switching on and shutting down time of the automatic control module to air conditioner automatically controls.
2. air conditioner Learning Control Method according to claim 1, it is characterised in that the automatic control module is arranged on cloud
Server is held, the data of described information acquisition module collection send the automatic control mould to cloud server by a communication module
Block, the automatic module are automatically controlled by real-time performance to air conditioner.
3. air conditioner Learning Control Method according to claim 1 or 2, it is characterised in that the number gathered in step S10
According to including time data and weather data, the time data is defined as date Hour Minute Second, and the weather data is defined as：When
Between section/weather condition/outdoor environment temperature/outdoor air relative humidity/Outdoor Air Quality.
4. air conditioner Learning Control Method according to claim 1 or 2, it is characterised in that identified in the step S11
Going out the available machine time section of air conditioner includes：
Step S1100. defines the available machine time sensitive factor of air conditioner；
Step S1101. is in units of 10 days, record ith start moment Ton-i；
Step S1102. was divided into 24 hours section by one day, and recorded the period residing for the start moment；
Step S1103. is within 10 day period, respectively to available machine time sensitive factor γ in 24 hour periodStartSummation, is designated as
N-th hours section：∑γStart shooting n(24 hours of n 1,2,3 ... section)；
Step S1104. is within 10 day period, to time-sensitive factor gamma of starting shootingStartSummation, is designated as：∑γStart shooting i(i is start time
Number)；
Step S1105. when meeting following condition simultaneously, then it is assumed that n-th hour is available machine time section：
(1)∑γStart shooting n/∑γStart shooting i>=a1%；
Started shooting in (2) 10 days in the n-th period number of days >=d1 days；
(3) indoor circumstance temperature >=Tc1 degree.
5. air conditioner Learning Control Method according to claim 1 or 2, it is characterised in that identified in the step S11
Going out the unused time section of air conditioner includes：
Step 1106. defines the unused time sensitive factor of air conditioner；
Step 1107. is in units of 10 days, record ith shutdown moment Toff-i；
Step 1108. was divided into 24 hours section by one day, and recorded the period residing for the shutdown moment；
Step 1109. is within 10 day period, respectively to machine time-sensitive factor gamma of being shut down in 24 small periodsShutdownSummation, it is designated as the
M hours sections：∑γStart shooting m(24 hours of m 1,2,3 ... section)；
Step 1110 is within 10 day period, to time-sensitive factor gamma of starting shootingShutdownSummation, is designated as ∑ γShut down i(i is shutdown time
Number)；
Step 1111. when meeting following condition simultaneously, then it is assumed that m hours are unused time section：
(1)∑γShut down m/∑γShut down i>=a2%；
Shut down number of days >=d2 days in (2) 10 days in the m periods；
(3) indoor circumstance temperature≤Tc2 degree.
6. air conditioner Learning Control Method according to claim 4, it is characterised in that step 1101 includes full 10 days
Afterwards, an available machine time section is updated according to window mode is drawn within every 1 day.
7. air conditioner Learning Control Method according to claim 5, it is characterised in that step 1107 includes full 10 days
Afterwards, a unused time section is updated according to window mode is drawn within every 1 day.
8. air conditioner Learning Control Method according to claim 1 or 2, it is characterised in that determined in the step S12
The available machine time of air conditioner includes：The available machine time t in all available machine time sections is recorded respectivelyon-n-i, calculated for the n-th hours
The self study available machine time of section,
Wherein,
The self study available machine time is represented, unit is：1min；
ton-n-iThe actual available machine time in the n-th available machine time section is represented, unit is：1min；
Timen-onRepresent the start total degree in n-th hour available machine time section in 10 days.
9. air conditioner Learning Control Method according to claim 1 or 2, it is characterised in that determined in the step S12
The unused time of air conditioner includes：The unused time t in all unused time sections is recorded respectivelyoff-m-i, calculate m hours
The self study unused time of section,
Wherein：
The self study unused time calculated is represented, unit is：1min；
toff-m-iThe actually powered off time in m unused time sections is represented, unit is：1min；
Timem-offRepresent the shutdown total degree in m unused time hour sections in 10 days.
10. air conditioner Learning Control Method according to claim 1 or 2, it is characterised in that step S13 includes direct
The switching on and shutting down of air conditioner are controlled, or by APP pushed informations, remind user's switching on and shutting down.
11. a kind of air conditioner automatic learning control system, including an information acquisition module and an automatic control module, it is characterised in that：
Described information acquisition module collection user is turned on or off the data of air conditioner using remote control or APP, and is sent to
Described automatic control module；
The automatic control module is analyzed and processed by the switching on and shutting down custom of self study user to the data of collection, identifies air-conditioning
The switching on and shutting down period of device；
Switching on and shutting down period of the automatic control module respectively to air conditioner is handled, and determines the switching on and shutting down time of air conditioner；
Switching on and shutting down time of the automatic control module to air conditioner automatically controls.
12. air conditioner automatic learning control system as claimed in claim 11, it is characterised in that the automatic control module is arranged on cloud
Server is held, the data of described information acquisition module collection are sent to the automatic control module of cloud server by a communication module,
The automatic module is automatically controlled by real-time performance to air conditioner.
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| CN109405195A (en) * | 2018-10-31 | 2019-03-01 | 四川长虹电器股份有限公司 | Air conditioner intelligent control system and method |
| CN109595759A (en) * | 2018-11-30 | 2019-04-09 | 广东美的制冷设备有限公司 | Air conditioner, terminal, control method and system, computer readable storage medium |
| CN110360725A (en) * | 2018-04-10 | 2019-10-22 | Lg电子株式会社 | The driving and control method of air conditioner, Cloud Server, air conditioner |
| CN111878958A (en) * | 2020-06-17 | 2020-11-03 | 华帝股份有限公司 | Fresh air system capable of being started and stopped automatically and control method thereof |
| CN112032973A (en) * | 2019-06-04 | 2020-12-04 | 青岛海尔空调器有限总公司 | Heat accumulation instruction issuing control method |
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