CN112050420B - Heat storage mode control method of air conditioner - Google Patents

Heat storage mode control method of air conditioner Download PDF

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Publication number
CN112050420B
CN112050420B CN201910488247.5A CN201910488247A CN112050420B CN 112050420 B CN112050420 B CN 112050420B CN 201910488247 A CN201910488247 A CN 201910488247A CN 112050420 B CN112050420 B CN 112050420B
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time
temperature
air conditioner
heat storage
compressor
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CN112050420A (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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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • F24F11/86—Control 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
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/46—Improving electric energy efficiency or saving
    • F24F11/47—Responding to energy costs
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/74—Control 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
    • F24F11/77—Control 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
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/89—Arrangement or mounting of control or safety devices
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

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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)
  • Fluid Mechanics (AREA)
  • Thermal Sciences (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention relates to the technical field of air conditioning, in particular to a heat storage mode control method of an air conditioner. The invention aims to solve the problems of short service life of a compressor and large temperature fluctuation of a coil pipe in a preheating scheme. The heat storage mode control method includes: calculating the probability score of starting the heating mode at the next predicted starting time based on the scoring system when the predicted time point is reached; when the probability score is larger than a set threshold value, correcting and predicting the starting-up time based on the time correction parameter; calculating a heat accumulation starting time based on the corrected predicted starting time and preset heat accumulation time; when the heat accumulation starting moment is reached, the compressor and the outdoor fan are controlled to operate; detecting the temperature of a first coil of an indoor heat exchanger; when the first coil temperature is higher than the first preset coil temperature, detecting the second coil temperature at the time interval set time and judging the temperature of the second coil and the first preset coil; and adjusting the frequency of the compressor and the opening and closing of the outdoor fan based on the judgment result. The invention can prolong the service life of the compressor and reduce the fluctuation of the temperature of the coil.

Description

Heat storage mode control method of air conditioner
Technical Field
The invention relates to the technical field of air conditioning, in particular to a heat storage mode 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 practical implementation, the compressor is usually operated intermittently, and when the temperature of the coil reaches the preset upper limit temperature, the compressor is stopped until the temperature of the coil drops to the preset lower limit temperature, and then the compressor is started again. However, this control not only affects the life of the compressor due to frequent compressor start-up, but also causes the temperature of the coil to fluctuate significantly, thereby resulting in a poor user experience.
Accordingly, there is a need in the art for a new heat storage mode 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 short service life of the compressor and large temperature fluctuation of the coil in the existing preheating scheme, the present invention provides a heat storage mode control method for an air conditioner, wherein the air conditioner comprises a compressor, a throttling element, an outdoor heat exchanger, an outdoor fan, an indoor heat exchanger and an indoor fan, and the heat storage mode control method comprises:
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, correcting the predicted starting-up time based on a time correction parameter;
calculating the heat storage starting time of the air conditioner based on the corrected predicted starting time and the preset heat storage time;
controlling the compressor to operate at a heat storage frequency when the heat storage start time is reached;
controlling the outdoor fan to operate while, before, or after the compressor starts to operate;
detecting a first coil temperature of the indoor heat exchanger during operation of the compressor at the heat storage frequency;
when the temperature of the first coil pipe is higher than the temperature of a first preset coil pipe, setting time at intervals and detecting the temperature of a second coil pipe of the indoor heat exchanger again;
judging the temperature of the second coil and the temperature of the first preset coil;
selectively adjusting an operation frequency of the compressor and an on/off of the outdoor fan based on the determination result;
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;
wherein the step of selectively adjusting the operation frequency of the compressor and the on/off of the outdoor fan based on the determination result further comprises:
when the temperature of the second coil pipe is higher than the temperature of the first preset coil pipe, controlling the compressor to reduce to a first preset frequency for operation, and controlling the outdoor fan to be turned off;
and when the second 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 mode control method of the air conditioner, after the step of "controlling the compressor to operate at the first preset frequency and controlling the outdoor fan to be turned off", the heat storage mode control method further includes:
detecting a third coil temperature of the indoor heat exchanger;
judging the temperature of the third coil and the first preset coil and the second preset coil;
selectively adjusting an operation frequency of the compressor and an on/off of the outdoor fan 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 operation frequency of the compressor and the opening and closing of the outdoor fan based on the comparison result further comprises:
when the temperature of the third coil pipe is less than or equal to the second preset coil pipe temperature, controlling the compressor to be increased to a second preset frequency for operation, and controlling the outdoor fan to be started;
and when the temperature of the third 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 the first preset frequency to operate, and controlling the outdoor fan to keep being turned off.
In a preferred embodiment of the above-described heat storage mode control method of an air conditioner, before the step of "controlling the compressor to operate at a heat storage frequency", the heat storage mode control method further includes:
determining a heat storage frequency of the compressor based on an outdoor ambient temperature.
In a preferred embodiment of the above-described heat storage mode control method of an air conditioner, before the step of "controlling the compressor to operate at a heat storage frequency", the heat storage mode control method further includes:
acquiring an outdoor environment temperature and/or an indoor environment temperature;
determining the first preset coil temperature and the second preset coil temperature based on the outdoor environment temperature and/or the indoor environment temperature.
In a preferred embodiment of the method for controlling a heat storage mode of an air conditioner, the step of calculating a probability score of the air conditioner starting a heating mode at the next predicted starting 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 mode control method of an air conditioner, the heat storage mode 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 mode control method of the air conditioner, the time correction parameter is determined based on a predicted startup time and a historical actual startup time within a set number of days when the air conditioner is operated last time.
In a preferable embodiment of the heat storage mode control method of an air conditioner, the step of determining the time correction parameter based on a predicted startup time and a historical actual startup time within a set number of days when the air conditioner was last operated further includes:
acquiring historical predicted starting-up time and historical actual starting-up time within the set number of days;
calculating the average value of the historical predicted starting time and the average value of the historical actual starting time;
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;
determining the first difference as the time correction parameter.
As can be understood by those skilled in the art, in a preferred embodiment of the present invention, an air conditioner includes a compressor, a throttling element, an outdoor heat exchanger, an outdoor fan, an indoor heat exchanger, and an indoor fan, and a heat accumulation mode 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, correcting the predicted starting-up time based on the time correction parameter; calculating the heat storage starting time of the air conditioner based on the corrected predicted starting time and the preset heat storage time; controlling the compressor to operate at a heat accumulation frequency when a heat accumulation starting time is reached; controlling the outdoor fan to operate at the same time, before or after the compressor starts to operate; detecting a first coil temperature of the indoor heat exchanger during operation of the compressor at the heat accumulation frequency; when the temperature of the first coil pipe is higher than the temperature of a first preset coil pipe, setting time at intervals and detecting the temperature of a second coil pipe of the indoor heat exchanger again; judging the temperature of the second coil and the temperature of the first preset coil; selectively adjusting the operation frequency of the compressor and the on-off of the outdoor fan based on the judgment result; 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 mode control method can prolong the service life of the compressor, greatly reduce the fluctuation of the temperature of the coil pipe in the heat storage process of the air conditioner and improve the user experience. Specifically, the temperature of a first coil of an indoor heat exchanger is detected in the process that a compressor runs at a heat storage frequency, the temperature of a second coil of the indoor heat exchanger is detected at intervals for a set time when the temperature of the first coil is larger than the temperature of a first preset coil, and the running frequency of the compressor and/or the opening and closing of an outdoor fan are adjusted based on the comparison result of the temperature of the second coil and the temperature of the first preset coil; on the other hand, through controlling the compressor to keep operating all the time in the heat accumulation stage, guaranteed that the coil pipe temperature is in a comparatively stable temperature interval all the time, and through the switching of the frequency of adjustment compressor and outdoor fan, then can keep the coil pipe temperature in comparatively stable state, avoid because the coil pipe temperature fluctuation is great and the poor problem of user experience who brings.
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.
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.
By correcting the predicted starting-up time based on the time correction parameter, the control method can correct the predicted starting-up time based on the starting-up habit of the user, so that the corrected predicted starting-up time is closer to the real starting-up time of the user, the air conditioner is subjected to heat storage based on the corrected predicted starting-up time, energy waste caused by insufficient heat storage time or overlong heat storage time can be avoided, accurate and personalized treatment for a single user is achieved, and user experience is improved.
Further, when the temperature of the second coil pipe rises to be higher than the temperature of the first preset coil pipe, the compressor is controlled to be reduced to the first preset frequency to operate, the outdoor fan is controlled to be closed, and the pressure of the air conditioning system is reduced.
Further, when the temperature of the third coil pipe is reduced to be less than or equal to the temperature of the second preset coil pipe, the compressor is controlled to be increased to the second preset frequency to operate, the outdoor fan is controlled to be started, the pressure of the air conditioning system can be increased, the temperature of the coil pipe is further increased, and the temperature of the coil pipe is guaranteed to be in a better range all the time.
Furthermore, 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.
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, by carrying out statistical calculation on the historical predicted starting-up time and the historical actual starting-up time within the set number of days, calculating a first difference value between the average value of the predicted starting-up time and the average value of the historical actual starting-up time within the set number of days, and taking the first difference value as a time correction parameter, the control method can calculate and determine the time correction parameter by using the use habit of the user on the air conditioner in the latest period of time, so that the predicted starting-up time corrected by the time correction parameter is closer to the real starting-up time of the user in the latest period of time.
Drawings
A heat storage mode control method of an air conditioner of the present invention will be described with reference to the accompanying drawings. In the drawings:
fig. 1 is a flowchart of a heat storage mode control method of an air conditioner in a first embodiment of the present invention;
fig. 2 is a logic control diagram of a heat accumulation mode control method of an air conditioner in a first embodiment of the present invention;
fig. 3 is a schematic view of a scoring system for a heat accumulation mode control method of an air conditioner in accordance with a first embodiment of the present invention;
fig. 4 is a flowchart of determining a predicted time point of a heat storage mode control method of an air conditioner in accordance with a first embodiment of the present invention;
fig. 5 is a flowchart of a heat storage mode control method of an air conditioner in a second embodiment of the present invention;
fig. 6 is a flowchart of a heat accumulation mode control method of an air conditioner in a third embodiment of the present invention;
fig. 7 is a flowchart of a heat storage mode control method of an air conditioner in 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 is described with an example in which the operation of the outdoor fan is controlled to be turned on while the compressor starts to operate, a person skilled in the art may adjust the sequence of turning on the compressor and the fan without departing from the principle of the present invention. For example, the outdoor fan may be controlled to operate before or after the compressor is turned on.
Example 1
First, referring to fig. 1 and 2, a heat storage mode control method of an air conditioner according to the present invention will be described. Fig. 1 is a flowchart illustrating a heat storage mode control method of an air conditioner according to the present invention; fig. 2 is a logic diagram of a heat storage mode control method of an air conditioner according to the present invention.
As shown in fig. 1, in order to solve the problems of short service life of the compressor and large temperature fluctuation of the coil pipe in the existing 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 method for controlling the heat storage mode of the air conditioner mainly comprises the following steps:
s101, 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 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, controlling the compressor to operate at a heat storage frequency; for example, on the premise of a full score of 100, the scoring system calculates the probability score of 80 points when the user turns on the air conditioner for heating at 19:00 at 18:00 (namely, 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 at this time, the cloud server controls the compressor to operate at a certain frequency lower than the rated operating frequency, such as the heat storage frequency is 50Hz, and when the air conditioner operates in the heat storage mode, the compressor is controlled to operate at 50 Hz. 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.
S103, 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.
S104, detecting the temperature of a first coil of the indoor heat exchanger in the process that the compressor runs at the heat storage frequency; for example, after the compressor is started up and operated at the heat accumulation frequency of 50Hz for 1min, the temperature of the first coil of the indoor heat exchanger is detected by a temperature sensor provided on or near the indoor heat exchanger.
S105, when the temperature of the first coil pipe is higher than the temperature of a first preset coil pipe, setting time at intervals and detecting the temperature of a second coil pipe of the indoor heat exchanger again; for example, the first preset coil temperature is 42 ℃, the set time is 30s, and when the detected first coil temperature is greater than 42 ℃, the second coil temperature of the indoor heat exchanger is detected again after the interval of 30 s.
S106, judging the temperature of the second coil and the temperature of the first preset coil; for example, after the temperature of the second coil is detected again, the detected temperature of the second coil and the 42 ℃ value are judged;
s107, selectively adjusting the opening and closing of the outdoor fan and the running frequency of the compressor based on the judgment result; for example, when the temperature of the coil is more than 42 ℃, the outdoor fan is controlled to be turned off, and the compressor is controlled to be reduced to a first preset frequency for operation, such as the compressor is controlled to be reduced to the lowest operation frequency for operation; and when the temperature of the coil is less than or equal to 42 ℃, controlling the outdoor fan to operate and controlling the compressor to keep the heat storage frequency to operate.
Through the control mode, the heat storage mode control method can prolong the service life of the compressor, greatly reduce the fluctuation of the temperature of the coil pipe in the heat storage process of the air conditioner and improve the user experience. Specifically, the temperature of a first coil of an indoor heat exchanger is detected in the process that a compressor runs at a heat storage frequency, the temperature of a second coil of the indoor heat exchanger is detected at intervals for a set time when the temperature of the first coil is larger than the temperature of a first preset coil, and the running frequency of the compressor and/or the opening and closing of an outdoor fan are adjusted based on the comparison result of the temperature of the second coil and the temperature of the first preset coil; on the other hand, through controlling the compressor to keep operating all the time in the heat accumulation stage, guaranteed that the coil pipe temperature is in a comparatively stable temperature interval all the time, and through the switching of the frequency of adjustment compressor and outdoor fan, then can keep the coil pipe temperature in comparatively stable state, avoid because the coil pipe temperature fluctuation is great and the poor problem of user experience who brings.
Because the alternating current fan is difficult to realize frequency conversion, the alternating current fan capable of frequency conversion is high in cost and poor in effect, and the control method adopts a mode of controlling the opening and closing of the alternating current fan to realize the control of the temperature of the coil pipe.
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.
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 mode 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 accumulation mode 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 mode control method of an air conditioner in a first embodiment of the present invention.
As shown in fig. 1 and fig. 2, in a preferred embodiment, step S107 further includes:
when the temperature of the second coil pipe is higher than the temperature of the first preset coil pipe, controlling the compressor to reduce to the first preset frequency for operation, and controlling the outdoor fan to be turned off; and when the temperature of the second coil is less than or equal to the temperature of the first preset coil, 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 the minimum operating frequency of the compressor 30Hz, and when the air conditioner is storing heat, the coil temperature is controlled to 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 temperature of the second coil is greater than 42 ℃, it is proved that the current coil temperature exceeds the preferred temperature, and the temperature rise speed of the coil needs to be slowed down. At the moment, the frequency of the compressor is reduced to the minimum working frequency of 30Hz, and the outdoor fan is controlled to be turned off, 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 and even reduced. When the second coil temperature is less than 42 ℃, it is proved that the current coil temperature is still low, and rapid temperature rise is still needed. At the moment, the compressor is kept running at the heat storage frequency of 50Hz, 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 temperature of the coil pipe can continuously rise.
Further, after the step of "controlling the compressor to operate at the first preset frequency and controlling the outdoor fan to be turned off" when the coil temperature is higher than 42 ℃, the heat accumulation mode control method further includes:
detecting the temperature of a third coil of the indoor heat exchanger; judging the temperature of the third coil and the first preset coil and the second preset coil; 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 third coil is less than or equal to the second preset coil temperature, the compressor is controlled to be increased to the second preset frequency for operation, and the outdoor fan is controlled to be started; when the temperature of the third coil is less than or equal to the first preset coil temperature and greater than the second preset coil temperature, controlling the compressor to keep running at the first preset frequency, and controlling the outdoor fan to keep turning off; wherein the first preset coil temperature is greater than the second preset coil temperature. For example, the second preset coil temperature may be 35 ℃, and the second preset frequency may be a heat storage frequency of 50Hz, or any reasonable frequency value higher than the first preset frequency of 30Hz, such as 40Hz, 45Hz, or 55 Hz. When the third coil temperature is less than 35 c, it is demonstrated that the coil temperature has dropped to a lower temperature, requiring an immediate increase in the rate of temperature rise. At the moment, the frequency of the compressor is increased to the heat storage frequency of 50Hz, 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 third coil is higher than 35 ℃, the temperature of the current coil is still higher, and the rapid cooling is still needed. At the moment, the compressor is kept running at the first preset frequency of 30Hz, 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.
When the temperature of the second coil pipe rises to be higher than the temperature of the first preset coil pipe, the compressor is controlled to be reduced to the first preset frequency to operate, and the outdoor fan is controlled to be closed, so that the pressure of the air conditioning system is reduced. When the temperature of the third coil pipe is reduced to be less than or equal to the second preset coil pipe temperature, the compressor is controlled to be increased to the second preset frequency to operate, the outdoor fan is controlled to be started, the pressure of the air conditioning system can be improved, the temperature of the coil pipe is further improved, and the coil pipe temperature is guaranteed to be always in a better interval.
Further, in a preferred embodiment, before the step of controlling the compressor to operate at the heat storage frequency, the heat storage mode control method may further include:
acquiring the outdoor environment temperature; based on the outdoor ambient temperature, the heat storage frequency of the compressor is determined. Specifically, 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; the first preset environment temperature is lower than the second preset environment temperature, the first heat storage frequency is higher than the second heat storage frequency, and the second heat storage frequency is higher than the third heat storage frequency.
For example, the first heat accumulation frequency may be 50Hz, the second heat accumulation frequency may be 45Hz, the third heat accumulation frequency may be 40Hz, 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 50Hz, the system pressure can be correspondingly improved, and the temperature of the coil can be ensured to be quickly raised in the heat storage time. 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 40 Hz.
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 a 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.
Further, in a preferred embodiment, before the step of controlling the compressor to operate at the heat storage frequency, the heat storage mode control method further includes:
acquiring an outdoor environment temperature and/or an indoor environment temperature; a first preset coil temperature and a second preset coil temperature are determined based on the outdoor ambient temperature and/or the indoor ambient temperature. When the outdoor environment temperature and/or the indoor temperature are higher, the coil pipe of the indoor heat exchanger is subjected to heat storage, and the user can feel warm only by correspondingly increasing the temperature of the coil pipe; when the outdoor environment temperature and/or the indoor environment temperature is low, the user can feel warm without increasing the coil temperature of the indoor heat exchanger to be high correspondingly. The relation between the indoor environment temperature and/or the outdoor environment temperature and the first preset coil pipe temperature and the second preset coil pipe temperature can be determined through a fitting formula, and can also be determined through a relation comparison table. For example, when the outdoor ambient temperature is-5 ℃ and the indoor ambient temperature is 10 ℃, the first preset coil temperature is 39 ℃ and the second preset coil temperature is 33 ℃ based on the relation comparison table, when the coil temperature is maintained between 33 ℃ and 39 ℃, a user can feel warm when the compressor is started to heat, and the energy consumption of the compressor can be effectively reduced.
By determining the first preset coil temperature and the second preset coil temperature based on the outdoor environment temperature and/or the indoor environment temperature, the control method can enable the coil temperature to be matched with the indoor and outdoor environment temperatures, so that the operation energy consumption of the air conditioner is effectively reduced, and the user experience is improved.
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 18:00 is reached, the cloud server calculates the probability score of 78.5 → more than 70 points of the predicted turn-on time 19:00 after 1 hour for the user to turn on the heating mode of the air conditioner, first obtains the outdoor environment temperature of 8 ℃ → determines the heat storage frequency of the compressor to be 40Hz based on the outdoor environment temperature of 8 ℃, and adjusts the frequency of the compressor according to the above parameters, and simultaneously controls the outdoor fan to start operation → when the coil temperature rises to be more than 42 ℃, the interval 30s judges again whether the coil temperature is more than 42 ℃ → when the coil temperature is more than 42 ℃, the frequency of the compressor is controlled to be reduced to the minimum working frequency of 30Hz to operate, and the outdoor fan is controlled to be turned off to reduce the system pressure, slow down the rising speed of the coil temperature → when the temperature of the indoor coil begins to be reduced to be less than 35 ℃, and controlling the frequency of the compressor to be increased to 40Hz for operation, and controlling the outdoor fan to be started so as to increase the system pressure and slow down the reduction 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 setting time, the first preset coil temperature, the second preset coil temperature, the first preset frequency and the second preset frequency can be adjusted at will as long as the adjustment satisfies the necessary size relationship.
For example, in another alternative embodiment, although the present embodiment is described with an example of the simultaneous opening and controlling the outdoor fan to turn on operation while the compressor starts to operate, a person skilled in the art may make adjustments to the compressor and fan control sequence without departing from the principles of the present invention. For example, the start of the outdoor fan may be controlled before or after the compressor is turned on.
For example, in another alternative embodiment, although the ac fan is described in this embodiment with reference to the outdoor fan, it can be understood by those skilled in the art that the outdoor fan may be replaced by a dc fan, and when the dc fan is used, the on/off control of the ac fan may be replaced by adjusting the rotation speed of the dc fan.
For another example, in another alternative embodiment, although the embodiment only describes that the second determination is performed at the interval setting time when the first coil temperature is greater than the first preset coil temperature, in other steps of the control method, as long as the determination related to the coil temperature is performed, a control method of performing the second determination on the coil temperature after the interval setting time may be adopted, so as to further improve the accuracy of the control method.
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 mode 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 method for controlling a heat storage mode of an air conditioner includes the main steps of:
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 moment is reached, controlling the compressor to operate at the heat accumulation frequency; for example, after the cloud server calculates the heat accumulation starting time, when the time comes to 18:55, the compressor is controlled to operate at a certain frequency lower than the rated operating frequency, for example, the heat accumulation frequency is 50Hz, and when the air conditioner operates in the heat accumulation mode, the compressor is controlled to operate at 50 Hz.
S205, 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.
S206, detecting the temperature of a first coil of the indoor heat exchanger in the process that the compressor runs at the heat storage frequency; for example, after the compressor is started up and operated at the heat accumulation frequency of 50Hz for 1min, the temperature of the first coil of the indoor heat exchanger is detected by a temperature sensor provided on or near the indoor heat exchanger.
S207, when the temperature of the first coil pipe is higher than the temperature of a first preset coil pipe, setting time at intervals and detecting the temperature of a second coil pipe of the indoor heat exchanger again; for example, the first preset coil temperature is 42 ℃, the set time is 30s, and when the detected first coil temperature is greater than 42 ℃, the second coil temperature of the indoor heat exchanger is detected again after the interval of 30 s.
S208, judging the temperature of the second coil and the temperature of the first preset coil; for example, after the temperature of the second coil is detected again, the detected temperature of the second coil and the 42 ℃ value are judged;
s209, selectively adjusting the on-off of the outdoor fan and the running frequency of the compressor based on the judgment result; for example, when the temperature of the coil is more than 42 ℃, the outdoor fan is controlled to be turned off, and the compressor is controlled to be reduced to a first preset frequency for operation, such as the compressor is controlled to be reduced to the lowest operation frequency for operation; and when the temperature of the coil is less than or equal to 42 ℃, controlling the outdoor fan to operate and controlling the compressor to keep the heat storage frequency to operate.
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 S209 are the same as or similar to the control manner of embodiment 1, detailed description thereof is omitted. The following description focuses on steps S202 to 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 mode 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 mode 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 moment is reached, controlling the compressor to operate at the heat accumulation frequency; for example, after the cloud server calculates the heat accumulation starting time, when the time comes to 18:55, the compressor is controlled to operate at a certain frequency lower than the rated operating frequency, for example, the heat accumulation frequency is 50Hz, and when the air conditioner operates in the heat accumulation mode, the compressor is controlled to operate at 50 Hz.
S305, controlling an outdoor fan to operate while a 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.
S306, detecting the temperature of a first coil of the indoor heat exchanger in the process that the compressor runs at the heat storage frequency; for example, after the compressor is started up and operated at the heat accumulation frequency of 50Hz for 1min, the temperature of the first coil of the indoor heat exchanger is detected by a temperature sensor provided on or near the indoor heat exchanger.
S307, when the temperature of the first coil pipe is higher than the temperature of a first preset coil pipe, setting time at intervals and detecting the temperature of a second coil pipe of the indoor heat exchanger again; for example, the first preset coil temperature is 42 ℃, the set time is 30s, and when the detected first coil temperature is greater than 42 ℃, the second coil temperature of the indoor heat exchanger is detected again after the interval of 30 s.
S308, judging the temperature of the second coil and the temperature of the first preset coil; for example, after the temperature of the second coil is detected again, the detected temperature of the second coil and the 42 ℃ value are judged;
s309, selectively adjusting the opening and closing of the outdoor fan and the running frequency of the compressor based on the judgment result; for example, when the temperature of the coil is more than 42 ℃, the outdoor fan is controlled to be turned off, and the compressor is controlled to be reduced to a first preset frequency for operation, such as the compressor is controlled to be reduced to the lowest operation frequency for operation; and when the temperature of the coil is less than or equal to 42 ℃, controlling the outdoor fan to operate and controlling the compressor to keep the heat storage frequency to operate.
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, S304 to S309 are the same as or similar to the control method of embodiment 1, detailed description thereof is omitted. The following focuses on steps S302 to 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 mode 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 mode 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 moment is reached, controlling the compressor to operate at the heat accumulation frequency; for example, after the cloud server calculates the heat accumulation starting time, when the time comes to 18:55, the compressor is controlled to operate at a certain frequency lower than the rated operating frequency, for example, the heat accumulation frequency is 50Hz, and when the air conditioner operates in the heat accumulation mode, the compressor is controlled to operate at 50 Hz.
S406, 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.
S407, detecting the temperature of a first coil of the indoor heat exchanger in the process that the compressor runs at the heat storage frequency; for example, after the compressor is started up and operated at the heat accumulation frequency of 50Hz for 1min, the temperature of the first coil of the indoor heat exchanger is detected by a temperature sensor provided on or near the indoor heat exchanger.
S408, when the temperature of the first coil pipe is higher than the temperature of a first preset coil pipe, setting time at intervals and detecting the temperature of a second coil pipe of the indoor heat exchanger again; for example, the first preset coil temperature is 42 ℃, the set time is 30s, and when the detected first coil temperature is greater than 42 ℃, the second coil temperature of the indoor heat exchanger is detected again after the interval of 30 s.
S409, judging the temperature of the second coil and the temperature of the first preset coil; for example, after the temperature of the second coil is detected again, the detected temperature of the second coil and the 42 ℃ value are judged;
s410, selectively adjusting the opening and closing of the outdoor fan and the running frequency of the compressor based on the judgment result; for example, when the temperature of the coil is more than 42 ℃, the outdoor fan is controlled to be turned off, and the compressor is controlled to be reduced to a first preset frequency for operation, such as the compressor is controlled to be reduced to the lowest operation frequency for operation; and when the temperature of the coil is less than or equal to 42 ℃, controlling the outdoor fan to operate and controlling the compressor to keep the heat storage frequency to operate.
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 mode control method of an air conditioner including a compressor, a throttling element, an outdoor heat exchanger, an outdoor fan, an indoor heat exchanger, and an indoor fan, the heat storage mode control method comprising:
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, correcting the predicted starting-up time based on a time correction parameter;
calculating the heat storage starting time of the air conditioner based on the corrected predicted starting time and the preset heat storage time;
controlling the compressor to operate at a heat storage frequency when the heat storage start time is reached;
controlling the outdoor fan to operate while, before, or after the compressor starts to operate;
detecting a first coil temperature of the indoor heat exchanger during operation of the compressor at the heat storage frequency;
when the temperature of the first coil pipe is higher than the temperature of a first preset coil pipe, setting time at intervals and detecting the temperature of a second coil pipe of the indoor heat exchanger again;
judging the temperature of the second coil and the temperature of the first preset coil;
selectively adjusting an operation frequency of the compressor and an on/off of the outdoor fan based on the determination result;
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;
wherein the step of selectively adjusting the operation frequency of the compressor and the on/off of the outdoor fan based on the determination result further comprises:
when the temperature of the second coil pipe is higher than the temperature of the first preset coil pipe, controlling the compressor to reduce to a first preset frequency for operation, and controlling the outdoor fan to be turned off;
and when the second 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.
2. The heat storage mode control method of an air conditioner according to claim 1, wherein after the step of controlling the compressor to operate down to a first preset frequency and controlling the outdoor fan to be turned off, the heat storage mode control method further comprises:
detecting a third coil temperature of the indoor heat exchanger;
judging the temperature of the third coil and the first preset coil and the second preset coil;
selectively adjusting an operation frequency of the compressor and an on/off of the outdoor fan 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 operation frequency of the compressor and the opening and closing of the outdoor fan based on the comparison result further comprises:
when the temperature of the third coil pipe is less than or equal to the second preset coil pipe temperature, controlling the compressor to be increased to a second preset frequency for operation, and controlling the outdoor fan to be started;
and when the temperature of the third 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 the first preset frequency to operate, and controlling the outdoor fan to keep being turned off.
3. The heat storage mode control method of an air conditioner according to claim 1, wherein, prior to the step of controlling the compressor to operate at the heat storage frequency, the heat storage mode control method further comprises:
determining a heat storage frequency of the compressor based on an outdoor ambient temperature.
4. The heat storage mode control method of an air conditioner according to claim 2, wherein, prior to the step of controlling the compressor to operate at the heat storage frequency, the heat storage mode control method further comprises:
acquiring an outdoor environment temperature and/or an indoor environment temperature;
determining the first preset coil temperature and the second preset coil temperature based on the outdoor environment temperature and/or the indoor environment temperature.
5. The heat storage mode 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.
6. The heat storage mode control method of an air conditioner according to claim 1, 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.
7. The heat storage mode control method of an air conditioner according to claim 1, wherein the time correction parameter is determined based on a predicted turn-on time within a set number of days and a historical actual turn-on time at the last time the air conditioner was operated.
8. The heat storage mode control method of an air conditioner according to claim 7, wherein the step of "the time correction parameter is determined based on a predicted turn-on time within a set number of days and a historical actual turn-on time when the air conditioner was last operated" further comprises:
acquiring historical predicted starting-up time and historical actual starting-up time within the set number of days;
calculating the average value of the historical predicted starting time and the average value of the historical actual starting time;
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;
determining the first difference as the time correction parameter.
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