CN112050419B - Heat storage control method of air conditioner - Google Patents

Heat storage control method of air conditioner Download PDF

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Publication number
CN112050419B
CN112050419B CN201910488246.0A CN201910488246A CN112050419B CN 112050419 B CN112050419 B CN 112050419B CN 201910488246 A CN201910488246 A CN 201910488246A CN 112050419 B CN112050419 B CN 112050419B
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heat storage
time
air conditioner
compressor
frequency
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CN112050419A (en
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罗荣邦
许文明
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Qingdao Haier Air Conditioner Gen Corp Ltd
Haier Smart Home Co Ltd
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Qingdao Haier Air Conditioner Gen Corp Ltd
Haier Smart Home Co Ltd
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    • 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
    • F24F11/70Control systems characterised by their outputs; Constructional details thereof
    • F24F11/80Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • F24F11/86Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling compressors within refrigeration or heat pump circuits
    • 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
    • F24F11/30Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/46Improving electric energy efficiency or saving
    • F24F11/47Responding to energy costs
    • 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
    • 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
    • F24F11/70Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/74Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
    • F24F11/77Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
    • 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
    • F24F11/89Arrangement or mounting of control or safety devices
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

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

Abstract

The invention relates to the technical field of air conditioning, in particular to a heat storage control method of an air conditioner. The invention aims to solve the problems of low control precision and poor user experience of the existing preheating scheme. The heat storage control method of the present invention includes: when the predicted time point is reached, calculating the probability score of starting the heating mode at the next predicted starting time based on a pre-established scoring system; when the probability score is larger than a set threshold value, determining heat storage time based on the outdoor environment temperature; calculating a heat accumulation starting time based on the predicted starting time and the heat accumulation time; determining a heat accumulation frequency of the compressor based on an outdoor ambient temperature when a heat accumulation start time is reached; and controlling the compressor to operate at the heat storage frequency and controlling the outdoor fan to operate. Through the control mode, the heat storage control method can prolong the service life of the compressor, greatly improve the control precision of the heat storage process of the air conditioner and improve the user experience.

Description

Heat storage control method of air conditioner
Technical Field
The invention relates to the technical field of air conditioning, in particular to a heat storage control method of an air conditioner.
Background
When the air conditioner is started in cold winter, because the indoor and outdoor temperature is low, the air blown out after the air conditioner is started is cold air, the user experience is seriously influenced, and therefore, the existing air conditioner is started and provided with a cold air prevention mode. When the cold air prevention mode is started, the compressor and the outdoor fan are controlled to be started to store heat, and the indoor fan is controlled to operate after the temperature rises, so that the condition that cold air is blown out when the air conditioner is started is avoided. However, in practical applications, the waiting time of the air conditioner is long due to the operation of the cold air prevention mode within a few minutes after the air conditioner is started, which brings a problem feeling to users, and causes discontent and complaints of the users.
For the above problems, the solution in the prior art is to control the compressor to preheat the coil of the indoor unit before starting up, so as to achieve the effect of immediately discharging hot air when a user starts up. However, in the practical implementation process of the above solution, the preheating frequency of the compressor is usually fixed, which results in different preheating times of the compressor under different outdoor environment temperatures, and when the outdoor temperature is higher, the preheating time is too long, which causes frequent start and stop of the compressor, which results in energy waste and reduced service life of the compressor; when the outdoor environment temperature is low, preheating is insufficient, resulting in poor user experience.
Accordingly, there is a need in the art for a new heat storage control method of an air conditioner to solve the above-mentioned problems.
Disclosure of Invention
In order to solve the above problems in the prior art, that is, to solve the problems of low control accuracy and poor user experience in the prior preheating scheme, the present invention provides a heat storage control method for an air conditioner, where the air conditioner includes a compressor, a throttling element, an outdoor heat exchanger, an outdoor fan, an indoor heat exchanger, and an indoor fan, the outdoor fan is an ac fan, and the heat storage control method includes:
when the predicted time point is reached, calculating the probability score of starting the heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; the predicted time point is a certain time point before the predicted starting-up time;
when the probability score is larger than a set threshold value, determining the heat storage time of the air conditioner based on the outdoor environment temperature;
calculating a heat accumulation start time of the air conditioner based on the predicted startup time and the heat accumulation time;
determining a heat storage frequency of the compressor based on an outdoor ambient temperature when the heat storage start time is reached;
controlling the compressor to operate at the heat storage frequency;
controlling the outdoor fan to operate simultaneously with, before, or after the compressor starts operating.
In a preferred embodiment of the heat storage control method of an air conditioner, the step of "determining the heat storage frequency of the compressor based on the outdoor ambient temperature" further includes:
when the outdoor environment temperature is less than or equal to the first preset environment temperature, determining the heat storage frequency of the compressor as a first heat storage frequency;
when the outdoor environment temperature is greater than the first preset environment temperature and less than or equal to a second preset environment temperature, determining the heat storage frequency of the compressor as a second heat storage frequency;
when the outdoor environment temperature is higher than the second preset environment temperature, determining the heat storage frequency of the compressor as a third heat storage frequency;
wherein the first heat accumulation frequency is greater than the second heat accumulation frequency, and the second heat accumulation frequency is greater than the third heat accumulation frequency.
In a preferred embodiment of the heat storage control method for an air conditioner, the heat storage control method further includes:
detecting the coil temperature of the indoor heat exchanger during the operation of the compressor at the heat accumulation frequency;
judging the sizes of the coil temperature and a first preset coil temperature;
selectively adjusting the on/off of the outdoor fan and/or the operation frequency of the compressor based on the determination result;
wherein the step of selectively adjusting the on/off of the outdoor fan and/or the operation frequency of the compressor based on the determination result further comprises:
when the temperature of the coil pipe is higher than the first preset coil pipe temperature, controlling the compressor to reduce a first preset frequency and controlling the outdoor fan to be turned off;
and when the coil temperature is less than or equal to the first preset coil temperature, controlling the compressor to keep the heat storage frequency running, and controlling the outdoor fan to keep on.
In a preferred embodiment of the heat storage control method of the air conditioner, after the step of "controlling the compressor to decrease the first preset frequency and controlling the outdoor fan to be turned off", the heat storage control method further includes:
detecting the temperature of the coil;
judging the coil temperature and the first preset coil temperature and the second preset coil temperature;
selectively adjusting the on/off of the outdoor fan and/or the operating frequency of the compressor based on the comparison result;
wherein the first preset coil temperature is greater than the second preset coil temperature;
wherein the step of selectively adjusting the on/off of the outdoor fan and/or the operation frequency of the compressor based on the comparison result further comprises:
when the temperature of the coil pipe is less than or equal to the second preset coil pipe temperature, controlling the compressor to increase a second preset frequency, and controlling the outdoor fan to be started;
and when the coil temperature is less than or equal to the first preset coil temperature and greater than the second preset coil temperature, controlling the compressor to keep the first preset frequency to operate, and controlling the outdoor fan to keep closed.
In a preferred embodiment of the heat storage control method for an air conditioner, the control method further includes:
determining a heat storage opening degree of the throttling element based on the outdoor ambient temperature when the heat storage start time is reached;
and adjusting the opening degree of the throttling element to the heat storage opening degree.
In a preferred embodiment of the heat storage control method for an air conditioner, the step of "calculating a probability score of the air conditioner turning on a heating mode at the next predicted turn-on time based on a pre-established scoring system" further includes:
inputting the next predicted starting time into a pre-trained heating probability model to obtain the historical starting probability of the air conditioner for starting the heating mode at the next predicted starting time;
obtaining the recent starting probability based on the number of days for starting the heating mode at the next predicted starting time within the set number of days;
obtaining historical prediction accuracy of the next predicted starting-up time based on the historical prediction information;
calculating a probability score for the air conditioner to turn on a heating mode at the next predicted turn-on time based on the historical turn-on probability, the recent turn-on probability, and the historical prediction accuracy;
the heating probability model is used for representing the corresponding relation between the historical operation information and the historical opening probability.
In a preferred embodiment of the heat storage control method for an air conditioner, the heat storage control method further includes:
judging the activity of the air conditioner based on the historical operation information of the air conditioner;
when the activity of the air conditioner is high, counting the running times of the air conditioner in a plurality of running time periods within a set number of days;
selecting a plurality of operation time periods with operation times larger than the set times from the plurality of operation time periods;
respectively calculating the average value of the starting time of all the heating modes in each selected operation time period as the predicted starting time of the operation time period;
and calculating the difference value between each predicted starting-up time and a preset time period as the predicted time point of the predicted starting-up time.
In a preferred embodiment of the heat storage control method for an air conditioner, the step of "determining the heat storage time of the air conditioner based on the outdoor ambient temperature" further includes:
and determining or calculating the heat storage time based on the corresponding relation or a fitting formula between the outdoor environment temperature and the heat storage time.
As can be understood by those skilled in the art, in a preferred embodiment of the present invention, the air conditioner includes a compressor, a throttling element, an outdoor heat exchanger, an outdoor fan, an indoor heat exchanger, and an indoor fan, the outdoor fan is an ac fan, and the heat storage control method includes: when the predicted time point is reached, calculating the probability score of starting the heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; when the probability score is larger than a set threshold value, determining the heat storage time of the air conditioner based on the outdoor environment temperature; calculating the heat storage starting time of the air conditioner based on the predicted starting time and the heat storage time; when the heat accumulation starting moment is reached, acquiring the outdoor environment temperature; determining a heat storage frequency of the compressor based on the outdoor ambient temperature; controlling the compressor to operate at the heat storage frequency; controlling the outdoor fan to operate at the same time, before or after the compressor starts to operate; the scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the air conditioner and the probability score of the air conditioner for starting the heating mode at the next predicted starting time.
Through the control mode, the heat storage control method can prolong the service life of the compressor, greatly improve the control precision of the heat storage process of the air conditioner and improve the user experience. Specifically, the heat storage frequency of the compressor is determined based on the outdoor environment temperature, and then the compressor is controlled to operate based on the heat storage frequency, so that the heat storage frequency of the compressor can be adjusted based on the outdoor environment temperature, the heat storage frequency is guaranteed to be matched with the outdoor environment temperature, and the control precision of the air conditioner in the heat storage stage is improved. And the operation of the compressor is controlled based on the heat storage frequency determined by the outdoor environment temperature, and the temperature of the coil can be always in a better temperature range.
By calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on the scoring system when the predicted time point is reached, the control method can reasonably predict the probability of the user for starting the air conditioner at the next predicted starting time based on the historical information of the air conditioner used by the user, and therefore, a heat storage instruction is issued in time when the probability of starting the air conditioner is high, so that the air conditioner is controlled to store heat in advance, and the instant heating at the starting time is realized when the user starts the air conditioner. In addition, the prediction process is completely and automatically completed, so that the control method can improve the intelligent degree of the air conditioner and improve the user experience. The heat storage time of the air conditioner is determined based on the outdoor environment temperature, so that the heat storage time is corrected based on the outdoor environment temperature, the accuracy of the heat storage time is further ensured, and the energy is prevented from being wasted.
Further, through the in-process at the compressor with the operation of heat accumulation frequency, detect indoor heat exchanger's coil pipe temperature, and the operating frequency of adjustment compressor and/or the switching of outdoor fan based on the comparison result of coil pipe temperature and first preset coil pipe temperature, make the air conditioner keep the operation all the time at the heat accumulation stage compressor, just also guaranteed that the coil pipe temperature is in a comparatively stable temperature interval all the time, and the frequency through adjustment compressor and the switching of outdoor fan, then can keep the coil pipe temperature in comparatively stable state, avoid the problem of the life-span reduction because the compressor frequently starts and stops and make the coil pipe temperature fluctuate greatly and the poor problem of user experience that brings because the compressor frequently starts and stops.
It should be noted that, when the air conditioner operates in the heat storage mode, the compressor is designed to operate intermittently, so that the compressor has a rest time and saves power, but through years of research and tests of the inventor, when the compressor is repeatedly started, the compressor is more easily damaged due to large fluctuation of various parameters when the compressor starts to operate, and more electric energy is wasted. When the compressor operates in the heat storage mode, the heat storage frequency required by the compressor is extremely low, so that the power consumption of the compressor during the operation is extremely low, and the long-term use of the compressor is more facilitated. Therefore, the control method can enable the compressor to run more stably, the service life is longer, the fluctuation of the temperature of the coil pipe is smaller, and the heat storage effect is better.
Further, when the temperature of the coil pipe rises to be higher than the first preset coil pipe temperature, the compressor is controlled to reduce the first preset frequency, and the outdoor fan is controlled to be turned off to reduce the pressure of the refrigerant system.
Further, when the temperature of the coil pipe is reduced to be less than or equal to the second preset coil pipe temperature, the compressor is controlled to increase the second preset frequency, the outdoor fan is controlled to be started, the system pressure can be improved, the temperature of the coil pipe is further improved, and the temperature of the coil pipe is guaranteed to be always in a better interval.
Furthermore, the control method can also realize the combined control of the compressor, the external fan and the throttling element by determining the heat storage opening of the throttling element to be matched with the outdoor environment temperature based on the outdoor environment temperature, thereby further improving the working efficiency of the compressor, and reducing the energy consumption of the compressor and the control precision of the air conditioner in the heat storage stage.
Further, by calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on the calculated historical starting probability, the recent starting probability and the historical prediction accuracy, the control method can give consideration to the historical use habits, the recent use habits and the historical prediction accuracy of the user on the air conditioner to jointly determine the final probability score, so that the calculated probability score is more accurate and is more suitable for the recent use habits of the user.
Furthermore, the predicted time points are selectively determined based on the historical operation information of the air conditioner, and the control method can effectively screen the predicted starting time of the user who uses the air conditioner frequently, so that the predicted starting time is predicted in a targeted manner, and the use experience of the user is improved.
Furthermore, the heat storage time is determined based on the corresponding relation or the fitting formula between the outdoor environment temperature and the heat storage time, so that the heat storage time can be accurately corrected based on the outdoor environment temperature, and the heat storage effect of the air conditioner is improved.
Drawings
A heat storage control method of an air conditioner of the present invention is described below with reference to the accompanying drawings. In the drawings:
fig. 1 is a flowchart of a heat storage control method of an air conditioner in a first embodiment of the present invention;
fig. 2 is a logic control diagram of a heat storage control method of an air conditioner in a first embodiment of the present invention;
fig. 3 is a schematic view of a scoring system of a heat storage control method of an air conditioner in a first embodiment of the present invention;
fig. 4 is a flowchart of determining a predicted time point of a heat storage control method of an air conditioner in a first embodiment of the present invention;
fig. 5 is a flowchart of a heat storage control method of an air conditioner in a second embodiment of the present invention;
fig. 6 is a flowchart of a heat storage control method of an air conditioner in a third embodiment of the present invention;
fig. 7 is a flowchart of a heat storage control method of an air conditioner according to a fourth embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and are not intended to limit the scope of the present invention. For example, although the present embodiment has been described with an example in which the opening degree of the throttling element is adjusted while the compressor starts operating and the outdoor fan is turned on, a person skilled in the art may adjust the control sequence of the compressor, the throttling element and the fan without departing from the principle of the present invention. For example, the throttling element can be controlled to adjust the opening degree and the outdoor fan can be controlled to operate before or after the compressor is started.
Example 1
First, referring to fig. 1 and 2, a heat absorption control method of an air conditioner according to the present invention will be described. Fig. 1 is a flowchart of a heat storage control method in a first embodiment of an air conditioner according to the present invention; fig. 2 is a logic diagram of a heat storage control method of an air conditioner in a first embodiment of the present invention.
As shown in fig. 1, in order to solve the problems of low control precision and poor user experience in the prior preheating scheme, the air conditioner of the present invention includes a compressor, a throttling element, an outdoor heat exchanger, an outdoor fan, an indoor heat exchanger, and an indoor fan, wherein the compressor is a variable frequency compressor, and the outdoor fan is an ac fan. The main steps of the heat storage control method of the air conditioner comprise:
s101, when the predicted time point is reached, calculating the probability score of starting a heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; the predicted starting-up time is the time of the user for frequently starting up and heating calculated by the cloud server, and the predicted time point is a certain time point before the predicted starting-up time. For example, the cloud server calculates the average time of the user for frequent startup heating to be 19:00, and the predicted time point may be 1 hour before 19:00, namely 18:00, when 18:00 is reached, the cloud server calls a pre-established scoring system to calculate the probability score of the user for startup heating at 19:00, namely the probability of the user for startup heating at 19: 00. The scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the air conditioner and the probability score of the air conditioner for starting the heating mode at the next predicted starting time, namely, after 19:00 is input into the scoring system, the scoring system can calculate the probability of the air conditioner being started by a user for heating at the time point based on the historical operation information and the historical prediction information of the air conditioner.
S102, when the probability score is larger than a set threshold value, determining the heat storage frequency of the compressor and the heat storage opening degree of the throttling element based on the outdoor environment temperature; for example, on the premise of a full score of 100, the scoring system calculates the probability score of 80 for the user to turn on the air conditioner at 19:00 for heating at 18:00 (i.e. the probability of turning on the air conditioner is 80%), which proves that the user is very likely to turn on the air conditioner for heating at 19:00, and the cloud server determines the heat storage frequency of the compressor and the heat storage opening degree of the throttling element based on the corresponding relationship between the outdoor environment temperature and the heat storage frequency of the compressor and the heat storage opening degree of the throttling element respectively. For another example, the scoring system calculates that the probability score of the user turning on the air conditioner to heat at 19:00 is 50, which proves that the user is very likely not to turn on the air conditioner at 19:00, and the cloud server does not perform any action at this time, so that the air conditioner is kept in a shutdown state. The corresponding relation between the outdoor environment temperature and the heat storage frequency of the compressor can be a comparison table which is determined based on a heat storage test and is stored in the air conditioner, and the heat storage frequency of the compressor can be determined based on the outdoor environment temperature by using the comparison table. The corresponding relation between the outdoor environment temperature and the heat storage opening degree of the throttling element is similar to the corresponding relation, and the description is omitted. Of course, instead of determining the heat storage frequency of the compressor and the heat storage opening degree of the throttling element by using the lookup table, the heat storage frequency of the compressor and the heat storage opening degree of the throttling element may be determined by obtaining a fitting formula through a plurality of tests.
S103, controlling the compressor to operate at a heat storage frequency, for example, controlling the compressor to operate at a certain frequency lower than the rated operating frequency, for example, the heat storage frequency is 50Hz, and controlling the compressor to operate at 50Hz when the air conditioner stores heat;
and S104, adjusting the throttle element to the heat storage opening degree when the compressor starts to operate, wherein if the throttle element is an electronic expansion valve and the heat storage opening degree is 400P (P: opening unit step), the opening degree of the electronic expansion valve is adjusted to 400P when the compressor starts to operate. Naturally, the adjustment timing of the throttle element can also be before or after the compressor starts to operate, as long as the throttle element is correspondingly opened when the compressor is operating.
S105, controlling the outdoor fan to operate while the compressor starts to operate; for example, the outdoor fan is an ac fan, and the outdoor fan is controlled to start operation while the compressor starts to operate. Of course, the starting time of the outdoor fan may be before or after the compressor starts to operate, as long as the outdoor fan is correspondingly started to operate when the compressor operates.
Through the control mode, the heat storage control method can prolong the service life of the compressor, greatly improve the control precision of the heat storage process of the air conditioner and improve the user experience. Specifically, the heat storage frequency of the compressor is determined based on the outdoor environment temperature, and then the compressor and the external fan are controlled to operate based on the heat storage frequency, so that the heat storage frequency of the compressor can be adjusted based on the outdoor environment temperature, the heat storage frequency is guaranteed to be matched with the outdoor environment temperature, and the control precision of the air conditioner in the heat storage stage is improved. And the operation of the compressor is controlled based on the heat storage frequency determined by the outdoor environment temperature, and the temperature of the coil can be always in a better temperature range. By determining the heat storage opening degree of the throttling element to be matched with the outdoor environment temperature based on the outdoor environment temperature, the control method can also realize the combined control of the compressor, the external fan and the throttling element, thereby further improving the working efficiency of the compressor, and reducing the energy consumption of the compressor and the control precision of the air conditioner in the heat storage stage.
By calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on the scoring system when the predicted time point is reached, the control method can reasonably predict the probability of the user for starting the air conditioner at the next predicted starting time based on the historical information of the air conditioner used by the user, and therefore, a heat storage instruction is issued in time when the probability of starting the air conditioner is high, so that the air conditioner is controlled to store heat in advance, and the instant heating at the starting time is realized when the user starts the air conditioner. In addition, the prediction process is completely and automatically completed, so that the control method can improve the intelligent degree of the air conditioner and improve the user experience.
The heat storage control method of the air conditioner of the present invention will be described in detail with reference to fig. 1 to 4. Fig. 3 is a schematic diagram of a scoring system of a heat storage control method of an air conditioner according to a first embodiment of the present invention; fig. 4 is a flowchart of determining a predicted time point of a heat storage control method of an air conditioner in a first embodiment of the present invention.
As shown in fig. 1 and 2, in a preferred embodiment, the step of determining the heat accumulation frequency of the compressor based on the outdoor ambient temperature may further include:
when the outdoor environment temperature is less than or equal to a first preset environment temperature, determining the heat storage frequency of the compressor as a first heat storage frequency; when the outdoor environment temperature is higher than the first preset environment temperature and lower than or equal to the second preset environment temperature, determining the heat storage frequency of the compressor as a second heat storage frequency; when the outdoor environment temperature is higher than the second preset environment temperature, determining the heat storage frequency of the compressor as a third heat storage frequency; wherein the first heat accumulation frequency is greater than the second heat accumulation frequency, and the second heat accumulation frequency is greater than the third heat accumulation frequency.
For example, the first heat accumulation frequency may be 55Hz, the second heat accumulation frequency may be 45Hz, the third heat accumulation frequency may be 35Hz, the first preset ambient temperature may be-5 ℃ and the second preset ambient temperature may be 5 ℃. When the outdoor environment temperature is lower than-5 ℃, the outdoor environment temperature is lower, and the temperature of the coil of the indoor heat exchanger can be ensured to rise to a better temperature in the heat storage time only by operating the compressor at a higher frequency, so that the first heat storage frequency is set to 55Hz, the system pressure can be correspondingly improved, and the temperature of the coil in the heat storage time can be ensured to be quickly raised. When the outdoor environment temperature is between-5 ℃ and 5 ℃, the outdoor environment temperature is increased to a certain extent compared with-5 ℃, so that the working frequency of the compressor does not need to be high under the same heat storage time condition, and the temperature of the coil can be ensured to be increased to a better area. Thus, the second heat storage frequency can be set to 45 Hz. When the outdoor environment temperature is higher than 5 ℃, the compressor works at a lower frequency to increase the temperature of the coil pipe to a proper temperature within the same heat storage time. Therefore, the third heat storage frequency may be further set to 35 Hz.
Further, in a preferred embodiment, the step of determining the heat storage opening degree of the throttling element based on the outdoor ambient temperature may further include:
when the outdoor environment temperature is less than or equal to a first preset environment temperature, determining the heat storage opening degree of the throttling element as a first heat storage opening degree; when the outdoor environment temperature is higher than the first preset environment temperature and lower than or equal to the second preset environment temperature, determining the heat storage opening degree of the throttling element as a second heat storage opening degree; when the outdoor environment temperature is higher than the second preset environment temperature, determining the heat storage opening degree of the throttling element as a third heat storage opening degree; wherein the first heat storage opening degree is larger than the second heat storage opening degree, and the second heat storage opening degree is larger than the third heat storage opening degree.
For example, the first heat storage opening degree may be 400P, the second heat storage opening degree may be 300P, the third heat storage opening degree may be 200P, the first preset ambient temperature may be-5 ℃ and the second preset ambient temperature may be 5 ℃. When the outdoor environment temperature is lower than-5 ℃, the outdoor environment temperature is lower, and the temperature of the coil pipe of the indoor heat exchanger can be ensured to quickly rise in the heat storage time only by the aid of large refrigerant flow, so that the first heat storage opening is set to 400P, the refrigerant flow in the heat storage time can be ensured to be large, the phase change speed of the refrigerant is increased, and the temperature of the coil pipe is quickly increased. When the outdoor environment temperature is between-5 ℃ and 5 ℃, the outdoor environment temperature is increased to a certain extent compared with-5 ℃, so that the required refrigerant quantity is not required to be large under the condition of the same heat storage time, and the temperature of the coil pipe can be ensured to be increased to a better area. Thereby, the second heat storage opening degree may be set to 300P. When the outdoor environment temperature is higher than 5 ℃, the outdoor environment temperature is higher, and the throttling element can raise the temperature of the coil pipe to a proper temperature by using a limited refrigerant quantity within the same heat storage time when the opening degree is very small. Therefore, the third heat storage opening degree may be further set to 200P.
Further, in a preferred embodiment, the heat storage control method further includes:
detecting the temperature of a coil pipe of an indoor heat exchanger in the process that a compressor runs at a heat storage frequency; judging the temperature of the coil and the temperature of a first preset coil; and selectively adjusting the opening and closing of the outdoor fan and/or the running frequency of the compressor based on the judgment result. Specifically, when the temperature of the coil pipe is greater than a first preset coil pipe temperature, controlling the compressor to reduce a first preset frequency, and controlling the outdoor fan to be turned off; and when the temperature of the coil pipe is less than or equal to the first preset temperature of the coil pipe, controlling the compressor to keep the heat storage frequency running, and controlling the outdoor fan to keep on. For example, the first preset coil temperature may be 42 ℃, the first preset frequency may be 5Hz, and when the air conditioner is storing heat, the coil temperature is controlled to be about 42 ℃ to ensure that hot air is discharged when the air conditioner is started. After operating in the regenerative mode for a period of time, when the coil temperature is greater than 42 ℃, it is proved that the coil temperature has exceeded the preferred temperature, and the rate of temperature rise of the coil needs to be slowed. At the moment, the frequency of the compressor is reduced by 5Hz, and the outdoor fan is controlled to be closed, so that the pressure of the system is reduced, the phase change process of the refrigerant is weakened, and the temperature rising speed of the coil is slowed, maintained or even reduced. When the temperature of the coil is less than 42 ℃, the coil temperature is proved to be still low, and the rapid temperature rise is still needed. At the moment, the compressor is kept running at the heat storage frequency, and the outdoor fan is controlled to keep running, so that the temperature rise speed of the coil pipe temperature can be ensured, and the coil pipe temperature continues to rise.
Further, after the step of "controlling the compressor to reduce the first preset frequency and controlling the outdoor fan to turn off" when the coil is more than 42 ℃, the heat accumulation control method further comprises the following steps:
detecting the temperature of the coil; judging the temperature of the coil pipe, the first preset coil pipe temperature and the second preset coil pipe temperature; based on the comparison result, the switching of the outdoor fan and/or the operation frequency of the compressor are selectively adjusted. Specifically, when the temperature of the coil is less than or equal to a second preset coil temperature, controlling the compressor to increase a second preset frequency, and controlling the outdoor fan to be started; when the temperature of the coil pipe is less than or equal to the first preset coil pipe temperature and greater than the second preset coil pipe temperature, controlling the compressor to keep reducing the first preset frequency to operate, and controlling the outdoor fan to keep closing; wherein the first preset coil temperature is greater than the second preset coil temperature. For example, the second predetermined coil temperature may be 35 ℃ and the second predetermined frequency may likewise be 5 Hz. When the coil temperature is less than 35 ℃, it is proved that the coil temperature has dropped to a lower temperature, and the temperature rise rate needs to be raised immediately. At the moment, the frequency of the compressor is increased by 5Hz, and the outdoor fan is controlled to be started, so that the pressure of the system is increased, the phase change process of the refrigerant is enhanced, and the temperature of the coil pipe begins to rise to some extent. When the temperature of the coil is more than 35 ℃ and less than 42 ℃, the coil temperature is still high, and rapid cooling is still required. At the moment, the compressor is kept running in a state of reducing the first preset frequency, and the outdoor fan is controlled to be kept closed, so that the temperature rise speed of the temperature of the coil pipe can be reduced.
By controlling the compressor to reduce the first preset frequency and controlling the outdoor fan to be closed to reduce the pressure of the refrigerant system when the temperature of the coil pipe rises to be higher than the first preset coil pipe temperature, the control method can effectively reduce the energy consumption of the air conditioner on the premise of ensuring the stable change of the temperature of the coil pipe. When the temperature of the coil pipe is reduced to be less than or equal to the second preset coil pipe temperature, the compressor is controlled to increase the second preset frequency, the outdoor fan is controlled to be started, the system pressure can be improved, the temperature of the coil pipe is further improved, and the temperature of the coil pipe is guaranteed to be always in a better interval. Because the alternating current fan realizes the frequency conversion difficulty, and the alternating current fan that can frequency convert has higher cost and poor effect, therefore this control method adopts the mode of control alternating current fan switching to realize the control of coil pipe temperature, and this kind of control mode not only precision is high, and is with low costs moreover, and user experience is good.
Referring to fig. 3 and 4, in a preferred embodiment, step S101 may further include: inputting the next predicted starting time into a pre-trained heating probability model to obtain the historical starting probability of the air conditioner for starting the heating mode at the next predicted starting time; obtaining the recent starting probability based on the number of days for starting the heating mode at the next predicted starting time within the set number of days; obtaining historical prediction accuracy of the next predicted starting-up time based on historical prediction information; calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on the historical starting probability, the recent starting probability and the historical prediction accuracy; the heating probability model is used for representing the corresponding relation between the historical operation information and the historical opening probability. Specifically, as shown in fig. 3, in the present embodiment, after the predicted startup time is input into the scoring system, the score calculated by the scoring system is derived from three parts, the first part is the historical opening frequency calculated based on the trained heating probability model; the second part is the recent opening probability obtained based on the number of times of opening within the set number of days at the predicted starting time; the third part is historical prediction accuracy of the predicted starting-up time obtained based on historical prediction information; the probability score can be weighted values of historical opening probability, recent opening probability and historical prediction accuracy, and the weights of the three parts in the scoring system can be 70 points, 15 points and 15 points respectively.
In the first part, the process of establishing the heating probability model may specifically be: and establishing a model by taking the historical starting and heating time, the starting times corresponding to the starting and heating time and the total operation days of the air conditioner as characteristic data to obtain the corresponding relation between the historical starting and heating time and the historical starting probability, and inputting the predicted starting time into the model so as to output the historical starting probability corresponding to the predicted starting time. In the second part, the set number of days may be the last 7 days, the recent opening probability of the last 7 days with the number of opening days increased by 1 day is increased by 20%, and when the number of opening days is more than 5 days, the recent opening probability is 100%. In the third part, the historical prediction information may be a ratio of a predicted correct number to a predicted total number in the historical prediction of the predicted boot-up time.
For example, after the next predicted boot time is 19:00 and is input into the scoring system, the heating probability model calculates that the historical boot probability at the boot time is 80%; if the number of opening days in nearly 7 days is 4 days, the recent opening probability is 80 percent; the correct prediction quantity at the time of predicting the startup at 19:00 is 7 times, the total quantity is 10 times, and the prediction accuracy is 70 percent; from this, the three probabilities are multiplied by their weights, respectively, and summed to obtain a probability score P of 80% × 70+ 80% × 15+ 70% × 15 of 78.5.
By calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on the calculated historical starting probability, the recent starting probability and the historical prediction accuracy, the control method can give consideration to the historical use habits, the recent use habits and the historical prediction accuracy of the user on the air conditioner to jointly determine the final probability score, so that the calculated probability score is more accurate and is more suitable for the recent use habits of the user.
Further, referring to fig. 4, in a preferred embodiment, the predicted time point may be determined based on the following method:
the predicted time point is selectively determined based on historical operation information of the air conditioner. Specifically, based on historical operation information of the air conditioner, judging the activity of the air conditioner; when the activity of the air conditioner is high, counting the operation times of the air conditioner in a plurality of operation time periods within set days; selecting a plurality of operation time periods with operation times larger than the set times from a plurality of operation time periods; respectively calculating the average value of the starting time of all the heating modes in each selected operation time period as the predicted starting time of the operation time period; and calculating the difference value between each predicted starting-up time and a preset time period as the predicted time point of the predicted starting-up time. For example, the activity of the air conditioner may be defined as whether there is a heating startup behavior in the past few days (e.g., the past 3 days), and when there is a heating startup record in the past few days, the activity of the air conditioner is high, otherwise, the activity is low. When the activity degree is low, the user is proved to have less times of using the air conditioner, the probability of starting the air conditioner is lower, and whether the air conditioner stores heat or not is not predicted at the moment. When the activity of the air conditioner is high, the fact that a user uses the air conditioner frequently is proved, habits and rules of using the air conditioner are easier to analyze, the operation times of the air conditioner in a plurality of operation periods within set days (such as within the last 7 days) are counted, for example, the operation periods are counted by aggregating all the startup heating time according to 1 hour, then a plurality of periods with the startup times within 7 days greater than 4 times are selected from the plurality of operation periods, then the average value of all the startup time within each period is respectively calculated to be used as the predicted startup time of the operation period, and finally the time point obtained by subtracting 1 hour from each predicted startup time is used as the predicted time point, if a certain predicted startup time is 19:00, then 18:00 is the predicted time point of the predicted startup time.
By selectively determining the predicted time point based on the historical operation information of the air conditioner, the control method can effectively screen the predicted starting time of the air conditioner which is frequently used by a user, so that the predicted starting time is predicted in a targeted manner, and the use experience of the user is improved.
Referring to fig. 2, a possible operation of the air conditioner of the present invention will be described.
As shown in fig. 2, when the current time reaches 18:00, the cloud server calculates the predicted starting time 19:00 of the user after 1 hour, that the probability score of starting the heating mode of the air conditioner is 78.5 points → the probability score is more than 70 points, determines that the heat storage frequency of the compressor is 35Hz and the opening degree of the throttling element is 200P based on the outdoor environment temperature of 8 ℃, adjusts the frequency of the compressor and the opening degree of the throttling element according to the parameters, controls the outdoor fan to start running → controls the frequency of the compressor to be reduced by 5Hz to 40Hz and controls the outdoor fan to be turned off when the temperature of the coil pipe rises to 42 ℃, keeps the opening degree of the throttling element to reduce the system pressure, slows down the rising speed of the coil pipe temperature → controls the frequency of the compressor to be increased by 5Hz to 35Hz and controls the outdoor fan to be turned on when the temperature of the indoor coil pipe begins to be reduced to be less than 35 ℃, so as to increase the pressure of the system and slow down the falling speed of the temperature of the coil.
It should be noted that the above preferred embodiments are only used for illustrating the principle of the present invention, and are not intended to limit the protection scope of the present invention. Without departing from the principles of the present invention, those skilled in the art can adjust the setting manner described above, so that the present invention can be applied to more specific application scenarios.
For example, in an alternative embodiment, although the values of the first preset environment temperature, the second preset environment temperature, the first heat storage frequency, the second heat storage frequency and the third heat storage frequency are specifically illustrated in the present embodiment, the values are only used for illustrating the principle of the present invention and are not intended to limit the protection scope of the present invention, and a person skilled in the art may adjust the values so that the adjusted values can meet more specific application scenarios. Similarly, the numerical ranges of the first preset coil temperature, the second preset coil temperature, the first preset frequency, the second preset frequency, the first heat storage opening degree, the second heat storage opening degree and the third heat storage opening degree can be adjusted at will as long as the adjustment satisfies the necessary size relationship among each other.
For example, in another alternative embodiment, although the present embodiment has been described with an example of adjusting the opening of the throttling element and controlling the outdoor fan to turn on while the compressor starts operating, a person skilled in the art may adjust the compressor, the throttling element, and the fan control sequence without departing from the principles of the present invention. For example, the start of the outdoor fan and/or the opening degree of the throttling element can be controlled before or after the compressor is started.
For example, in an alternative embodiment, the specific configuration of the scoring system is not limited to the above embodiment, and those skilled in the art can adjust the scoring system without departing from the principles of the present invention, as long as the adjustment is sufficient to make the probability score calculated by the scoring system conform to the usage habit of the air conditioner by the user. For example, the scoring system may also be comprised of any one or two of the three parts described above.
For another example, in another alternative embodiment, although the steps in the above embodiment are described in a sequential manner, those skilled in the art will understand that, in order to achieve the effect of the embodiment, different steps need not be executed in such an order, and may be executed simultaneously (in parallel) or in an inverse order, even if some steps are omitted, and these simple changes are within the protection scope of the present invention. For example, when the predicted time is determined based on the historical operation information, the number of times the air conditioner is operated in a plurality of operation periods within the set number of days may be directly counted without determining the activity of the air conditioner.
As another example, in another alternative embodiment, specific values of the predicted time point, the predicted boot time, the probability score, the set number of days, the weight, etc. listed in this embodiment are only used as an exemplary illustration, and are not intended to limit the scope of the present invention, and those skilled in the art can make adjustments without departing from the principle of the present control method.
Of course, the above alternative embodiments, and the alternative embodiments and the preferred embodiments can also be used in a cross-matching manner, so that a new embodiment is combined to be suitable for a more specific application scenario.
Example 2
A second embodiment of the present invention will be described with reference to fig. 5. Fig. 5 is a flowchart illustrating a heat storage control method of an air conditioner according to a second embodiment of the present invention.
As shown in fig. 5, in one possible embodiment, the main steps of the heat storage control method of the air conditioner include:
s201, when the predicted time point is reached, calculating probability score of starting a heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; for example, the cloud server calculates the average time of the user for frequent startup heating to be 19:00, and the predicted time point may be 1 hour before 19:00, namely 18:00, when 18:00 is reached, the cloud server calls a pre-established scoring system to calculate the probability score of the user for startup heating at 19:00, namely the probability of the user for startup heating at 19: 00. The scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the air conditioner and the probability score of the air conditioner for starting the heating mode at the next predicted starting time, namely, after 19:00 is input into the scoring system, the scoring system can calculate the probability of the air conditioner being started by a user for heating at the time point based on the historical operation information and the historical prediction information of the air conditioner.
S202, when the probability score is larger than a set threshold value, correcting and predicting the starting-up time based on the time correction parameter; for example, the time correction parameter is used to represent a corresponding relationship between the predicted boot-up time and the actual boot-up time, that is, a deviation between the predicted boot-up time and the actual boot-up time. On the premise of 100 minutes of full scale, the scoring system calculates the probability score of 80 minutes (namely 80% of the probability of starting the air conditioner) that the user starts the air conditioner for heating at 19:00 at 18:00, and proves that the user is very likely to start the air conditioner for heating at 19:00, and at the moment, the starting time is corrected based on the time correction parameter, for example, the predicted starting time is corrected by increasing or decreasing a time period on the basis of the determined predicted starting time, so that the corrected predicted starting time is closer to the real starting time of the user. For example, if the predicted boot time is 19:00 and the time correction parameter is +10min, the corrected predicted boot time is 19:00+10min, which is 19: 10.
S203, calculating the heat storage starting time of the air conditioner based on the corrected predicted starting time and the preset heat storage time; after correcting the predicted startup time, the start time of the heat storage mode may be determined based on the heat storage time. For example, if the air conditioner is preset to have a heat accumulation time of 5min, the heat accumulation start time is 18:55 when the predicted startup time is 19: 00.
S204, when the heat accumulation starting time is reached, determining the heat accumulation frequency of the compressor and the heat accumulation opening degree of the throttling element based on the outdoor environment temperature; for example, when the time comes to 18:55 after the cloud server calculates the heat accumulation start time, the heat accumulation frequency of the compressor and the heat accumulation opening degree of the throttling element are determined based on the correspondence between the outdoor ambient temperature and the heat accumulation frequency of the compressor and the heat accumulation opening degree of the throttling element, respectively. The corresponding relation between the outdoor environment temperature and the heat storage frequency of the compressor can be a comparison table which is determined based on a heat storage test and is stored in the air conditioner, and the heat storage frequency of the compressor can be determined based on the outdoor environment temperature by using the comparison table. The corresponding relation between the outdoor environment temperature and the heat storage opening degree of the throttling element is similar to the corresponding relation, and the description is omitted. Of course, instead of determining the heat storage frequency of the compressor and the heat storage opening degree of the throttling element by using the lookup table, the heat storage frequency of the compressor and the heat storage opening degree of the throttling element may be determined by obtaining a fitting formula through a plurality of tests.
S205, controlling the compressor to operate at a heat storage frequency; if the compressor is controlled to operate at a certain frequency lower than the rated working frequency, for example, the heat storage frequency is 50Hz, and when the air conditioner stores heat, the compressor is controlled to operate at 50 Hz.
S206, adjusting the throttle element to the heat storage opening degree when the compressor starts to operate, wherein if the throttle element is an electronic expansion valve and the heat storage opening degree is 400P (P: opening unit step), the opening degree of the electronic expansion valve is adjusted to 400P when the compressor starts to operate. Naturally, the adjustment timing of the throttle element can also be before or after the compressor starts to operate, as long as the throttle element is correspondingly opened when the compressor is operating.
S207, controlling an outdoor fan to operate while the compressor starts to operate; for example, the outdoor fan is an ac fan, and the outdoor fan is controlled to start operation while the compressor starts to operate. Of course, the starting time of the outdoor fan may be before or after the compressor starts to operate, as long as the outdoor fan is correspondingly started to operate when the compressor operates.
As can be seen from the above description, on the basis of embodiment 1, by correcting the predicted startup time based on the time correction parameter, the control method of the present invention can correct the predicted startup time based on the startup habit of the user, so that the corrected predicted startup time is closer to the actual startup time of the user, and thus, the air conditioner is subjected to heat storage based on the corrected predicted startup time, energy waste due to insufficient heat storage time or too long heat storage time can be avoided, accurate and personalized treatment for a single user is achieved, and user experience is improved.
Since steps S201, S204 to S207 are the same as or similar to embodiment 1, they are not described again here. The following focuses on steps S202-S203.
In a preferred embodiment, the time correction parameter is determined during the last operation of the air conditioner. Specifically, when the air conditioner receives a startup instruction and operates last time, if the air conditioner receives the startup instruction and operates in a heating mode in the same time period of the previous day or the same time period of the previous days, the current actual startup time is recorded first, then historical predicted startup time and historical actual startup time in the set days before (including this time) this time are counted, and the average value of the historical predicted startup time and the average value of the historical actual startup time in the set days are calculated respectively. And then calculating a first difference value between the average value of the historical actual starting-up time and the average value of the historical predicted starting-up time, and storing the first difference value as a time correction parameter for the next corrected and predicted starting-up time.
For example, the cloud server counts historical predicted start-up time and historical actual start-up time of the air conditioner in the same period (e.g., 18:00-19:00) of the past 7 days including this time, and calculates a mean value of all historical predicted start-up time and a mean value of all historical actual start-up time, if the mean value of the historical predicted start-up time is 18:30 and the mean value of the historical actual start-up time is 18:40, then the first difference is equal to 18:40-18:30 being 10min, that is, the time correction parameter is 10min, that is, in the past 7 days, the actual start-up time of the user is 10min later than the predicted start-up time on average. Therefore, before the next startup, the sum of the predicted startup time and the time correction parameter is calculated to serve as the corrected predicted startup time, so that the accuracy of the predicted startup time is improved, the calculation accuracy of the heat storage starting time of the heat storage mode is further improved, the energy waste is reduced, and the user experience is improved. Of course, the time correction parameter in the above example is described as a positive number, and the same holds true for the present control method if the time correction parameter obtained is a negative number. If the time correction parameter is-10 min, the actual starting time of the user in the past 7 days is 10min earlier than the predicted starting time on average, and therefore before starting next time, the accuracy of the predicted starting time can be improved by calculating the sum of the predicted starting time and the time correction parameter, namely subtracting 10min from the predicted starting time to serve as the corrected predicted starting time.
Similarly, when the power-on operation is in the heating mode, a new time correction parameter can be obtained by recording the predicted power-on time and the current actual power-on time and combining the data 7 days before the power-on, so as to correct the predicted power-on time for use next time. That is to say, each time the air conditioner receives a starting instruction to perform heating operation, the time correction parameter is calculated and adjusted based on the acquired current actual starting time and the data in the past set days, and the control method enables the adjusted time correction parameter to better accord with the use habit of the user to the air conditioner in the latest period of time, and ensures the accuracy of the adjusted time correction parameter.
In a more preferred embodiment, before adjusting the time correction parameter, it may be determined that the time correction parameter is not to be adjusted based on a comparison result of a second difference between the current actual startup time of the current startup and the current predicted startup time and a preset threshold. Specifically, when a starting-up instruction is received, the current actual starting-up time is recorded; calculating a second difference value between the current actual starting-up time and the predicted starting-up time; judging the size of the second difference value and a preset threshold value; when the second difference is smaller than the preset threshold value, adjusting the time correction parameter; otherwise, the time correction parameter is not adjusted, but the last time correction parameter is used.
For example, the preset threshold may be 20min, when the air conditioner receives a start-up instruction and performs heating operation this time, the current actual start-up time is recorded as 17:00, the predicted start-up time is 18:00, and the difference between the two is 60min, which is much greater than the preset threshold of 20min, which indicates that the actual start-up time of the user at this time belongs to a special situation, and the user may return home in advance due to a request or other reasons, so that the current actual start-up time is not suitable for being used for adjusting the time correction parameter, so as to prevent the situation that the time correction parameter adjusted based on the actual start-up time at this time deviates from the actual habit of the user instead. On the contrary, if the difference between the predicted boot-up time and the current actual boot-up time is within 20min or further within 10min, it is proved that the data can be used for adjusting the time correction parameter, so as to ensure the adjustment precision of the time correction parameter and avoid the waste of energy during heat storage.
It should be noted that the above preferred embodiments are only used for illustrating the principle of the present invention, and are not intended to limit the protection scope of the present invention. Without departing from the principles of the present invention, those skilled in the art can adjust the setting manner described above, so that the present invention can be applied to more specific application scenarios.
For example, in an alternative embodiment, the timing of the determination of the time correction parameter may be adjusted as long as the adjusted time satisfies a condition that is earlier than the current corrected predicted boot-up time. For example, the time correction parameter may also be determined before the predicted boot-up time is obtained, and the like.
For another example, in another alternative embodiment, the determination of the time correction parameter is not constant, and the person skilled in the art can adjust the calculation process so that the calculated result can be more accurate. For example, in the calculation process, the historical predicted boot-up time and the historical trial boot-up time may not be calculated, but the historical predicted boot-up time and the historical actual boot-up time may be determined in a manner of weighted average or the like.
For another example, in another alternative embodiment, the timing of adjusting the time correction parameter may be adjusted after each time the power-on command is received, and the process of determining the magnitude between the second difference and the preset threshold is omitted, and such a process is not deviated from the concept of the present invention.
As another example, in another alternative embodiment, the specific values of the set number of days, the time correction parameter, the predicted boot-up time, the actual boot-up time are used for illustrative purposes only, and are not intended to limit the scope of the present invention, which may be adjusted by one skilled in the art without departing from the principles of the present control method.
Example 3
A third embodiment of the present invention will be described with reference to fig. 6. Fig. 6 is a flowchart illustrating a heat storage control method of an air conditioner according to a third embodiment of the present invention.
As shown in fig. 6, in one possible embodiment, the main steps of the heat storage control method of the air conditioner include:
s301, when the predicted time point is reached, calculating the probability score of starting the heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; for example, the cloud server calculates the average time of the user for frequent startup heating to be 19:00, and the predicted time point may be 1 hour before 19:00, namely 18:00, when 18:00 is reached, the cloud server calls a pre-established scoring system to calculate the probability score of the user for startup heating at 19:00, namely the probability of the user for startup heating at 19: 00. The scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the air conditioner and the probability score of the air conditioner for starting the heating mode at the next predicted starting time, namely, after 19:00 is input into the scoring system, the scoring system can calculate the probability of the air conditioner being started by a user for heating at the time point based on the historical operation information and the historical prediction information of the air conditioner.
S302, when the probability score is larger than a set threshold value, determining the heat storage time of the air conditioner based on the outdoor environment temperature; for example, on the premise of a full score of 100, the scoring system calculates the probability score of 80 points when the air conditioner is turned on at 19:00 for the user at 18:00 (i.e. the probability of turning on the air conditioner is 80%), which proves that the user is most likely to turn on the air conditioner for heating at 19:00, and the cloud server calculates the heat storage time matched with the outdoor environment temperature based on the outdoor environment temperature.
S303, calculating the heat storage starting time of the air conditioner based on the predicted starting time and the heat storage time; for example, after the heat storage time is determined based on the outdoor ambient temperature, the heat storage start time is obtained by calculating the difference between the predicted power-on time and the heat storage time. If the heat accumulation time is determined to be 5min and the predicted starting time is 19:00, the heat accumulation starting time is 18: 55.
S304, when the heat accumulation starting time is reached, determining the heat accumulation frequency of the compressor and the heat accumulation opening degree of the throttling element based on the outdoor environment temperature; for example, when the time comes to 18:55 after the cloud server calculates the heat accumulation start time, the heat accumulation frequency of the compressor and the heat accumulation opening degree of the throttling element are determined based on the correspondence between the outdoor ambient temperature and the heat accumulation frequency of the compressor and the heat accumulation opening degree of the throttling element, respectively. The corresponding relation between the outdoor environment temperature and the heat storage frequency of the compressor can be a comparison table which is determined based on a heat storage test and is stored in the air conditioner, and the heat storage frequency of the compressor can be determined based on the outdoor environment temperature by using the comparison table. The corresponding relation between the outdoor environment temperature and the heat storage opening degree of the throttling element is similar to the corresponding relation, and the description is omitted. Of course, instead of determining the heat storage frequency of the compressor and the heat storage opening degree of the throttling element by using the lookup table, the heat storage frequency of the compressor and the heat storage opening degree of the throttling element may be determined by obtaining a fitting formula through a plurality of tests.
S305, controlling the compressor to operate at a heat storage frequency; if the compressor is controlled to operate at a certain frequency lower than the rated working frequency, for example, the heat storage frequency is 50Hz, and when the air conditioner stores heat, the compressor is controlled to operate at 50 Hz.
S306, adjusting the throttle element to the heat storage opening degree when the compressor starts to operate, wherein if the throttle element is an electronic expansion valve and the heat storage opening degree is 400P (P: opening unit step), the opening degree of the electronic expansion valve is adjusted to 400P when the compressor starts to operate. Naturally, the adjustment timing of the throttle element can also be before or after the compressor starts to operate, as long as the throttle element is correspondingly opened when the compressor is operating.
S307, controlling the outdoor fan to operate while the compressor starts to operate; for example, the outdoor fan is an ac fan, and the outdoor fan is controlled to start operation while the compressor starts to operate. Of course, the starting time of the outdoor fan may be before or after the compressor starts to operate, as long as the outdoor fan is correspondingly started to operate when the compressor operates.
As can be seen from the above description, by determining the heat storage time of the air conditioner based on the outdoor ambient temperature on the basis of embodiment 1 so that the heat storage time is corrected based on the outdoor ambient temperature, the accuracy of the heat storage time is further ensured, and the energy is prevented from being wasted.
Since steps S301 and S304 to S307 are the same as or similar to those in embodiment 2, they are not described again here. The following focuses on steps S302-S303.
Preferably, the heat accumulation time may be calculated based on a fitting formula between the outdoor ambient temperature and the heat accumulation time. For example, the heat storage time is calculated using the following formula (1):
t=k×Tao+b (1)
in formula (1), t represents the heat accumulation time, Tao is the outdoor ambient temperature, and k and b are constants that can be fit based on experimental data. For example, the heat accumulation time of the compressor is tested several times for different outdoor ambient temperatures. In multiple experiments, the air conditioner air outlet temperature when the air conditioner enters a normal operation state is set to be the same target temperature, the compressor is enabled to operate at the same heat storage frequency, the air conditioner air outlet temperature reaches the same target temperature under different outdoor environment temperatures, and the heat storage time required by the compressor is judged, so that the linear relation between the heat storage time of the compressor and the outdoor environment temperature is established.
Of course, the determination of the heat storage time may also be performed based on other relationships between the outdoor ambient temperature and the heat storage time, such as the fixed corresponding relationship between the outdoor ambient temperature and the heat storage time. If a comparison table of the outdoor environment temperature and the heat storage time is determined based on the heat storage test, the comparison table is stored in the air conditioner, and the heat storage time corresponding to the outdoor environment temperature can be determined by using the comparison table.
The setting mode has the advantages that: because different outdoor environment temperatures have great influence on the heat storage capacity of the air conditioner, the heat storage time is determined by utilizing a fitting formula or a corresponding relation between the outdoor environment temperatures and the heat storage time, the accuracy of the heat storage time can be further ensured on the basis of ensuring the accuracy of the actual starting time, and the energy is prevented from being excessively wasted.
Example 4
A fourth embodiment of the present invention will be described with reference to fig. 7. Fig. 7 is a flowchart illustrating a heat storage control method of an air conditioner according to a fourth embodiment of the present invention.
As shown in fig. 7, in one possible embodiment, the main steps of the heat storage control method of the air conditioner include:
s401, when the predicted time point is reached, calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on a pre-established scoring system; for example, the cloud server calculates the average time of the user for frequent startup heating to be 19:00, and the predicted time point may be 1 hour before 19:00, namely 18:00, when 18:00 is reached, the cloud server calls a pre-established scoring system to calculate the probability score of the user for startup heating at 19:00, namely the probability of the user for startup heating at 19: 00. The scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the air conditioner and the probability score of the air conditioner for starting the heating mode at the next predicted starting time, namely, after 19:00 is input into the scoring system, the scoring system can calculate the probability of the air conditioner being started by a user for heating at the time point based on the historical operation information and the historical prediction information of the air conditioner.
S402, when the probability score is larger than a set threshold value, correcting and predicting the starting-up time based on the time correction parameter; for example, on the premise of a full score of 100, the scoring system calculates that the probability score of the user turning on the air conditioner for heating at 19:00 is 80 points (that is, the probability of turning on the air conditioner is 80%) at 18:00, which proves that the user is most likely to turn on the air conditioner for heating at 19:00, and at this time, the starting time is corrected based on the time correction parameter, for example, the predicted starting time is corrected by increasing or decreasing a time period on the basis of the determined predicted starting time, so that the corrected predicted starting time can be closer to the real starting time of the user. For example, if the predicted boot time is 19:00 and the time correction parameter is +10min, the corrected predicted boot time is 19:00+10min, which is 19: 10.
S403, determining the heat storage time of the air conditioner based on the outdoor environment temperature; if the predicted starting-up time is corrected, the cloud server calculates the heat storage time matched with the outdoor environment temperature based on the outdoor environment temperature.
S404, calculating the heat storage starting time of the air conditioner based on the corrected predicted starting time and heat storage time; for example, after the corrected predicted startup time and heat storage time are obtained, the heat storage start time is obtained by calculating the difference between the two. If the heat accumulation time is determined to be 5min and the predicted starting time is 19:00, the heat accumulation starting time is 18: 55.
S405, when the heat accumulation starting time is reached, determining the heat accumulation frequency of the compressor and the heat accumulation opening degree of the throttling element based on the outdoor environment temperature; for example, when the time comes to 18:55 after the cloud server calculates the heat accumulation start time, the heat accumulation frequency of the compressor and the heat accumulation opening degree of the throttling element are determined based on the correspondence between the outdoor ambient temperature and the heat accumulation frequency of the compressor and the heat accumulation opening degree of the throttling element, respectively. The corresponding relation between the outdoor environment temperature and the heat storage frequency of the compressor can be a comparison table which is determined based on a heat storage test and is stored in the air conditioner, and the heat storage frequency of the compressor can be determined based on the outdoor environment temperature by using the comparison table. The corresponding relation between the outdoor environment temperature and the heat storage opening degree of the throttling element is similar to the corresponding relation, and the description is omitted. Of course, instead of determining the heat storage frequency of the compressor and the heat storage opening degree of the throttling element by using the lookup table, the heat storage frequency of the compressor and the heat storage opening degree of the throttling element may be determined by obtaining a fitting formula through a plurality of tests.
S406, controlling the compressor to operate at a heat storage frequency; if the compressor is controlled to operate at a certain frequency lower than the rated working frequency, for example, the heat storage frequency is 50Hz, and when the air conditioner stores heat, the compressor is controlled to operate at 50 Hz.
S407, adjusting the throttle element to the heat storage opening degree when the compressor starts to operate, wherein if the throttle element is an electronic expansion valve and the heat storage opening degree is 400P (P: opening degree unit "step"), the opening degree of the electronic expansion valve is adjusted to 400P when the compressor starts to operate. Naturally, the adjustment timing of the throttle element can also be before or after the compressor starts to operate, as long as the throttle element is correspondingly opened when the compressor is operating.
S408, controlling the outdoor fan to operate while the compressor starts to operate; for example, the outdoor fan is an ac fan, and the outdoor fan is controlled to start operation while the compressor starts to operate. Of course, the starting time of the outdoor fan may be before or after the compressor starts to operate, as long as the outdoor fan is correspondingly started to operate when the compressor operates.
As can be seen from the above description, on the basis of embodiment 1, by correcting the predicted startup time based on the time correction parameter, the control method of the present invention can correct the predicted startup time based on the startup habit of the user, so that the corrected predicted startup time is closer to the actual startup time of the user, and the air conditioner is charged based on the corrected predicted startup time, thereby avoiding energy waste due to insufficient or too long charging time, achieving accurate and personalized treatment for a single user, and improving user experience. The heat storage time of the air conditioner is determined based on the outdoor environment temperature, so that the heat storage time is corrected based on the outdoor environment temperature, the accuracy of the heat storage time is further ensured, and the energy is prevented from being wasted.
Since the implementation steps in this embodiment have been described in detail in embodiments 1 to 3, detailed description is omitted in this embodiment.
Those skilled in the art will appreciate that the air conditioner described above may also include other known structures such as processors, controllers, memories, etc., wherein the memories include, but are not limited to, ram, flash, rom, prom, volatile, non-volatile, serial, parallel, or registers, etc., and the processors include, but are not limited to, CPLD/FPGA, DSP, ARM processor, MIPS processor, etc. Such well-known structures are not shown in the drawings in order to not unnecessarily obscure embodiments of the present disclosure.
It should be noted that although the detailed steps of the method of the present invention have been described in detail, those skilled in the art can combine, separate and change the order of the above steps without departing from the basic principle of the present invention, and the modified technical solution does not change the basic concept of the present invention and thus falls into the protection scope of the present invention.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.

Claims (8)

1. A heat storage control method of an air conditioner, the air conditioner comprises a compressor, a throttling element, an outdoor heat exchanger, an outdoor fan, an indoor heat exchanger and an indoor fan, the outdoor fan is an alternating current fan, and the heat storage control method comprises the following steps:
when the predicted time point is reached, calculating the probability score of starting the heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; the predicted time point is a certain time point before the predicted starting-up time;
when the probability score is larger than a set threshold value, determining the heat storage time of the air conditioner based on the outdoor environment temperature;
calculating a heat accumulation start time of the air conditioner based on the predicted startup time and the heat accumulation time;
determining a heat storage frequency of the compressor based on an outdoor ambient temperature when the heat storage start time is reached;
controlling the compressor to operate at the heat storage frequency;
controlling the outdoor fan to operate while, before, or after the compressor starts to operate;
the scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the air conditioner and the probability score of the air conditioner for starting the heating mode at the next predicted starting time.
2. The heat storage control method of an air conditioner according to claim 1, wherein the step of determining the heat storage frequency of the compressor based on the outdoor ambient temperature further comprises:
when the outdoor environment temperature is less than or equal to a first preset environment temperature, determining the heat storage frequency of the compressor as a first heat storage frequency;
when the outdoor environment temperature is greater than the first preset environment temperature and less than or equal to a second preset environment temperature, determining the heat storage frequency of the compressor as a second heat storage frequency;
when the outdoor environment temperature is higher than the second preset environment temperature, determining the heat storage frequency of the compressor as a third heat storage frequency;
wherein the first heat accumulation frequency is greater than the second heat accumulation frequency, and the second heat accumulation frequency is greater than the third heat accumulation frequency.
3. The heat storage control method of an air conditioner according to claim 1, characterized by further comprising:
detecting the coil temperature of the indoor heat exchanger during the operation of the compressor at the heat accumulation frequency;
judging the sizes of the coil temperature and a first preset coil temperature;
selectively adjusting the on/off of the outdoor fan and/or the operation frequency of the compressor based on the determination result;
wherein the step of selectively adjusting the on/off of the outdoor fan and/or the operation frequency of the compressor based on the determination result further comprises:
when the temperature of the coil pipe is higher than the first preset coil pipe temperature, controlling the compressor to reduce a first preset frequency and controlling the outdoor fan to be turned off;
and when the coil temperature is less than or equal to the first preset coil temperature, controlling the compressor to keep the heat storage frequency running, and controlling the outdoor fan to keep on.
4. The heat storage control method of an air conditioner according to claim 3, wherein after the step of controlling the compressor to decrease the first preset frequency and controlling the outdoor fan to be turned off, the heat storage control method further comprises:
detecting the temperature of the coil;
judging the coil temperature and the first preset coil temperature and the second preset coil temperature;
selectively adjusting the on/off of the outdoor fan and/or the operating frequency of the compressor based on the comparison result;
wherein the first preset coil temperature is greater than the second preset coil temperature;
wherein the step of selectively adjusting the on/off of the outdoor fan and/or the operation frequency of the compressor based on the comparison result further comprises:
when the temperature of the coil pipe is less than or equal to the second preset coil pipe temperature, controlling the compressor to increase a second preset frequency, and controlling the outdoor fan to be started;
and when the coil temperature is less than or equal to the first preset coil temperature and greater than the second preset coil temperature, controlling the compressor to keep reducing the first preset frequency to operate, and controlling the outdoor fan to keep closing.
5. The heat storage control method of an air conditioner according to claim 1, characterized by further comprising:
determining a heat storage opening degree of the throttling element based on the outdoor ambient temperature when the heat storage start time is reached;
and adjusting the opening degree of the throttling element to the heat storage opening degree.
6. The heat storage control method of an air conditioner according to claim 1, wherein the step of calculating a probability score of the air conditioner turning on the heating mode at the next predicted turn-on time based on a pre-established scoring system further comprises:
inputting the next predicted starting time into a pre-trained heating probability model to obtain the historical starting probability of the air conditioner for starting the heating mode at the next predicted starting time;
obtaining the recent starting probability based on the number of days for starting the heating mode at the next predicted starting time within the set number of days;
obtaining historical prediction accuracy of the next predicted starting-up time based on the historical prediction information;
calculating a probability score for the air conditioner to turn on a heating mode at the next predicted turn-on time based on the historical turn-on probability, the recent turn-on probability, and the historical prediction accuracy;
the heating probability model is used for representing the corresponding relation between the historical operation information and the historical opening probability.
7. The heat storage control method of an air conditioner according to claim 1, characterized by further comprising:
judging the activity of the air conditioner based on the historical operation information of the air conditioner;
when the activity of the air conditioner is high, counting the running times of the air conditioner in a plurality of running time periods within a set number of days;
selecting a plurality of operation time periods with operation times larger than the set times from the plurality of operation time periods;
respectively calculating the average value of the starting time of all the heating modes in each selected operation time period as the predicted starting time of the operation time period;
and calculating the difference value between each predicted starting-up time and a preset time period as the predicted time point of the predicted starting-up time.
8. The heat storage control method of an air conditioner according to claim 1, wherein the step of determining the heat storage time of the air conditioner based on the outdoor ambient temperature further comprises:
and determining or calculating the heat storage time based on the corresponding relation or a fitting formula between the outdoor environment temperature and the heat storage time.
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