CN112032943A - Air conditioner heat storage control method - Google Patents

Air conditioner heat storage control method Download PDF

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Publication number
CN112032943A
CN112032943A CN201910482306.8A CN201910482306A CN112032943A CN 112032943 A CN112032943 A CN 112032943A CN 201910482306 A CN201910482306 A CN 201910482306A CN 112032943 A CN112032943 A CN 112032943A
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China
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time
air conditioner
heat storage
compressor
temperature
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CN112032943B (en
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罗荣邦
许文明
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Qingdao Haier Air Conditioner Gen Corp Ltd
Qingdao Haier Co Ltd
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Qingdao Haier Air Conditioner Gen Corp Ltd
Qingdao Haier 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
    • F24F11/62—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
    • F24F11/62—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
    • F24F11/65—Electronic processing for selecting an operating mode
    • 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
    • F24F11/70—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
    • F24F11/88—Electrical aspects, e.g. circuits
    • 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)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Thermal Sciences (AREA)
  • Fluid Mechanics (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention relates to the technical field of air conditioning, in particular to an air conditioner heat storage control method. 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. To this end, the heat storage control method includes: when the predicted time point is reached, calculating the probability score of starting heating at the next predicted starting time based on a scoring system; when the probability score is larger than a set threshold value, correcting and predicting the starting-up time based on the time correction parameter; determining a heat accumulation time based on the outer ring temperature; calculating a heat accumulation start time based on the corrected predicted startup time and heat accumulation time; when the heat accumulation starting moment is reached, controlling the compressor to operate at a first heat accumulation frequency and controlling the outdoor fan to operate; detecting the temperature of the coil pipe in the running process of the compressor; judging the temperature of the coil pipe and the first preset temperature; and adjusting the opening and closing of the outdoor fan and/or the frequency of the compressor 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

Air conditioner heat storage control method
Technical Field
The invention relates to the technical field of air conditioning, in particular to an air conditioner heat storage control method.
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 feeling of a problem to the user, and causes discontent and complaints of the user.
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 method of controlling heat storage of an air conditioner to solve the above 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 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, the outdoor fan is an ac fan, and the heat storage 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;
when the probability score is larger than a set threshold value, correcting the predicted starting-up time based on a time correction parameter;
determining a heat storage time of the air conditioner based on an outdoor ambient temperature;
calculating a heat accumulation starting time of the air conditioner based on the corrected predicted starting time and the heat accumulation time;
controlling the compressor to operate at a first heat accumulation frequency when the heat accumulation start time is reached;
controlling the outdoor fan to operate while, before, or after the compressor starts to operate;
detecting a coil temperature of the indoor heat exchanger during operation of the compressor at the first heat accumulation frequency;
judging the temperature of the coil pipe and a first preset temperature;
selectively adjusting the on/off of the outdoor fan and/or the operation frequency of the compressor 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.
In a preferred embodiment of the above-described air conditioner heat storage control method, the step of "selectively adjusting the on/off of the outdoor fan and/or the operating frequency of the compressor based on the determination result" further includes:
when the temperature of the coil pipe is higher than the first preset temperature, controlling the compressor to keep the first heat storage frequency to operate, and controlling the outdoor fan to be turned off;
and when the temperature of the coil pipe is less than or equal to the first preset temperature, controlling the compressor to keep the first heat storage frequency running, and controlling the outdoor fan to keep on.
In a preferable aspect of the above-described air conditioner heat storage control method, after the step of "controlling the compressor to keep the first heat storage frequency running and controlling the outdoor fan to be turned off", the heat storage control method further includes:
detecting the temperature of the coil;
comparing the temperature of the coil with the first preset temperature and the second preset temperature;
selectively controlling the compressor to operate at a second heat storage frequency based on the comparison result;
the first preset temperature is lower than the second preset temperature, and the first heat storage frequency is higher than the second heat storage frequency.
In a preferred embodiment of the above-described air conditioner heat storage control method, the step of "selectively controlling the compressor to operate at the second heat storage frequency based on the comparison result" further includes:
when the temperature of the coil pipe is higher than the second preset temperature, controlling the compressor to operate at the second heat storage frequency;
and when the temperature of the coil pipe is less than or equal to the second preset temperature and greater than the first preset temperature, controlling the compressor to keep the first heat storage frequency to operate.
In a preferable aspect of the above-described air conditioner heat storage control method, after the step of "controlling the compressor to operate at the second heat storage frequency", the heat storage control method further includes:
detecting the temperature of the coil;
comparing the temperature of the coil with the first preset temperature and the second preset temperature;
and selectively controlling the compressor to keep the second heat accumulation frequency to operate and controlling the outdoor fan to be started based on the comparison result.
In a preferred embodiment of the above-described method for controlling heat storage of an air conditioner, "selectively controlling the compressor to maintain the second heat storage frequency in operation and controlling the outdoor fan to be turned on based on the comparison result" further includes:
when the temperature of the coil pipe is higher than the first preset temperature and lower than or equal to the second preset temperature, controlling the compressor to keep the second heat storage frequency to operate, and controlling the outdoor fan to be started;
and when the temperature of the coil pipe is higher than the second preset temperature, controlling the compressor to keep the second heat storage frequency to operate.
In a preferred embodiment of the above air conditioner heat storage control method, "calculating a probability score of the air conditioner starting a heating mode at the next predicted startup 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 start a heating mode at the next predicted startup time based on the historical startup probability, the recent startup 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 above-described air conditioner heat storage control method, the heat storage control method further includes:
judging the activity of the air conditioner based on the historical operation information of the air conditioner;
when the activity of the air conditioner is high, counting the operation times of the air conditioner in a plurality of operation 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 above air conditioner heat storage control method, 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 operates last time.
In a preferred embodiment of the above air conditioner heat storage control method, 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 of last operation of the air conditioner 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, the air conditioner includes a compressor, a throttling element, an outdoor heat exchanger, an outdoor fan, an indoor heat exchanger, and an indoor fan, the outdoor fan is an ac fan, and the heat storage control method includes: when the predicted time point is reached, calculating the probability score of starting the heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; when the probability score is larger than a set threshold, correcting the predicted starting-up time based on the time correction parameter; determining the heat storage time of the air conditioner based on the outdoor environment temperature; calculating the heat storage starting time of the air conditioner based on the corrected predicted starting time and heat storage time; controlling the compressor to operate at a first heat accumulation frequency when the 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 the temperature of a coil pipe of the indoor heat exchanger in the process that the compressor operates at the first heat storage frequency; judging the temperature of the coil pipe and the first preset temperature; selectively adjusting the on/off of the outdoor fan and/or the operation frequency of the compressor 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 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. Particularly, through the in-process at the compressor with the operation of first heat accumulation frequency, the frequency of compressor and/or the switching of outdoor fan are adjusted based on the result of comparison of coil pipe temperature and first preset temperature for the air conditioner keeps the operation throughout in heat accumulation stage compressor, has just also guaranteed that the coil pipe temperature is in a comparatively stable temperature interval throughout, and the frequency through the adjustment compressor and the switching of outdoor fan, then can keep the coil pipe temperature in comparatively stable state, avoid because the undulant great problem that user experience is poor that brings of coil pipe temperature.
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 user using the air conditioner, so that a heat storage instruction is issued in time when the probability of starting the air conditioner is higher, the air conditioner is controlled to store heat in advance, and the user can start the air conditioner to realize instant heating. 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, heat storage is carried out on the air conditioner 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. 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 guaranteed, and the energy is prevented from being wasted.
Furthermore, when the temperature of the coil pipe rises to be higher than a first preset temperature, the compressor is kept running at a first heat storage frequency, and the outdoor fan is controlled to be closed to reduce the pressure of the refrigerant system.
Furthermore, when the temperature of the coil pipe rises to be higher than the second preset temperature, the compressor is controlled to operate in a frequency reduction mode under the condition that the outdoor fan is kept closed.
Further, when the temperature of the coil pipe is reduced to be greater than the first preset temperature and less than or equal to the second preset temperature, the compressor is controlled to keep running at the second heat storage frequency, and the outdoor fan is controlled to be started.
Further, when the temperature of the coil pipe is reduced to be less than or equal to a first preset temperature, the outdoor fan is controlled to keep running, and meanwhile the compressor is controlled to be increased to run at a first heat storage frequency, so that the frequency of the compressor is stably improved, the temperature of the coil pipe is further improved, and the temperature fluctuation of the coil pipe in the improving process is small.
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 which 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 using the time correction parameter is closer to the real starting-up time of the user in the latest period of time.
Drawings
The heat storage control method of the air conditioner of the present invention is described below with reference to the accompanying drawings. In the drawings:
fig. 1 is a flowchart of an air conditioning heat accumulation control method in a first embodiment of the present invention;
FIG. 2 is a logic control diagram of an air conditioning and thermal storage control method according to a first embodiment of the present invention;
FIG. 3 is a schematic diagram of a scoring system for an air conditioning thermal management method in a first embodiment of the present invention;
fig. 4 is a flowchart of determining a predicted time point of an air conditioning heat accumulation control method according to a first embodiment of the present invention;
fig. 5 is a flowchart of an air conditioning heat accumulation control method in a second embodiment of the present invention;
fig. 6 is a flowchart of an air conditioning heat accumulation control method in a third embodiment of the present invention;
fig. 7 is a flowchart of an air conditioning heat accumulation control method 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 control method of an air conditioner of the present invention will be described. Fig. 1 is a flowchart of an air conditioning and heat storage control method according to a first embodiment of the present invention; fig. 2 is a logic control diagram of an air conditioning and heat accumulation control method in the first embodiment of 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 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 first heat storage frequency; for example, on the premise of a full score of 100, the scoring system calculates the probability score of 80 minutes (namely the probability of 80% of starting the air conditioner) that the user starts the air conditioner to heat at 19:00 when the score is 18:00, and proves that the user is very likely to start the air conditioner to heat at 19:00, at this moment, the cloud server immediately issues a heat storage instruction to control the air conditioner to operate in a heat storage mode, the compressor operates at a certain frequency lower than the rated operating frequency, for example, the first 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 for heating at 19:00 is 50, which proves that the user is most likely not to turn on the air conditioner at 19:00, and the cloud server does not issue a heat storage instruction at this time.
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 coil pipe of the indoor heat exchanger in the process that the compressor runs at the first heat storage frequency; for example, during the operation of the compressor at the first heat accumulation frequency, the coil temperature of the indoor heat exchanger is detected by a temperature sensor provided on or near the indoor heat exchanger.
S105, judging the temperature of the coil and a first preset temperature, and if the first preset temperature is 38 ℃, judging the detected temperature of the coil and 38 ℃;
s106, selectively adjusting the opening and closing of the outdoor fan and/or the running frequency of the compressor based on the judgment result; for example, when the temperature of the coil is more than 38 ℃, the outdoor fan is controlled to be turned off, and the compressor is controlled to keep the first heat accumulation frequency to operate; and controlling the outdoor fan to operate and controlling the compressor to keep the first heat accumulation frequency to operate when the temperature of the coil is less than or equal to 38 ℃.
According to the heat storage control method, the service life of the compressor can be prolonged, the fluctuation of the temperature of the coil pipe in the heat storage process of the air conditioner is greatly reduced, and the user experience is improved. Particularly, through the in-process at the compressor with the operation of first heat accumulation frequency, the frequency of compressor and/or the switching of outdoor fan are adjusted based on the result of comparison of coil pipe temperature and first preset temperature for the air conditioner keeps the operation throughout in heat accumulation stage compressor, has just also guaranteed that the coil pipe temperature is in a comparatively stable temperature interval throughout, and the frequency through the adjustment compressor and the switching of outdoor fan, then can keep the coil pipe temperature in comparatively stable state, avoid because the undulant great problem that user experience is poor that brings of coil pipe temperature.
Because the alternating current fan is difficult to realize frequency conversion, and the alternating current fan capable of frequency conversion has higher cost and poor effect, the control method adopts a mode of controlling the opening and closing of the alternating current fan to realize the accurate 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 user using the air conditioner, so that a heat storage instruction is issued in time when the probability of starting the air conditioner is higher, the air conditioner is controlled to store heat in advance, and the user can start the air conditioner to realize instant heating. 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 air conditioner heat storage control method of the present invention will be described in detail below with reference to fig. 1 to 4. Fig. 3 is a schematic diagram of a scoring system of an air conditioning heat storage control method according to a first embodiment of the present invention; fig. 4 is a flowchart of determining a predicted time point of an air conditioning heat accumulation control method in the first embodiment of the present invention.
As shown in fig. 1 and fig. 2, in a preferred embodiment, the step S106 further includes:
when the temperature of the coil pipe is higher than a first preset temperature, controlling the compressor to keep running at a first heat storage frequency, and controlling the outdoor fan to be turned off; and when the temperature of the coil pipe is less than or equal to a first preset temperature, controlling the compressor to keep the first heat storage frequency to operate, and controlling the outdoor fan to keep on. For example, the first preset temperature may be 38 ℃, the first heat storage frequency may be 50Hz, and when the air conditioner stores heat, the temperature of the coil pipe is controlled to be about 40 ℃ to ensure that hot air is discharged when the air conditioner is started. When the coil temperature is greater than 38 ℃, it is proved that the coil temperature is close to or exceeds the preferred temperature of 40 ℃, and the speed of temperature rise needs to be slowed down. At the moment, the compressor is kept running at 50Hz, 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 down. When the coil temperature is less than 38 ℃, the coil temperature is proved to be still low, and rapid temperature rise is required. At the moment, the compressor is kept running at 50Hz, and the outdoor fan is controlled to keep running, so that the temperature rise speed of the coil temperature can be ensured, and the temperature of the coil can continuously rise.
Further, after the coil temperature is higher than 38 ℃, that is, the compressor keeps operating at 50Hz, and the outdoor fan is turned off, the heat storage control method further includes:
detecting the temperature of the coil; judging the temperature of the coil pipe and the first preset temperature and the second preset temperature; and selectively controlling the compressor to operate at the second heat accumulation frequency based on the comparison result. Specifically, when the temperature of the coil pipe is higher than a second preset temperature, the compressor is controlled to operate at a second heat storage frequency; and when the temperature of the coil pipe is less than or equal to a second preset temperature and greater than a first preset temperature, controlling the compressor to keep the first heat storage frequency to operate, wherein the first preset temperature is less than the second preset temperature, and the first heat storage frequency is greater than the second heat storage frequency. For example, the second preset temperature may be 42 ℃, and the second heat accumulation frequency may be a minimum operating frequency of the compressor, such as 30 Hz. When the temperature of the coil is higher than 42 ℃, the temperature of the coil is proved to exceed the preferred temperature by 40 ℃, and the temperature is slightly reduced to maintain the preferred temperature. At the moment, on the premise of keeping the outdoor fan closed, the frequency of the compressor is reduced to the lowest running frequency of 30Hz, so that the system pressure is further reduced, and on the premise of further reducing the energy consumption of the compressor, the rising speed of the temperature of the coil is further slowed down, maintained and even begins to fall. When the coil temperature is less than 42 ℃ but greater than 38 ℃, it turns out that the coil temperature, although close, is still below the preferred 40 ℃. At this time, the temperature of the coil can be ensured to continuously rise by maintaining the compressor to operate at 50Hz and keeping the outdoor fan in a closed state.
Further, after the coil temperature is greater than 42 ℃, that is, the compressor keeps operating at 30Hz and the outdoor fan is turned off, the heat accumulation control method further includes:
detecting the temperature of the coil; comparing the temperature of the coil with a first preset temperature and a second preset temperature; and selectively controlling the compressor to operate at the second heat accumulation frequency and controlling the outdoor fan to be started based on the comparison result. Specifically, when the temperature of the coil pipe is less than or equal to a second preset temperature and greater than a first preset temperature, the compressor is controlled to keep running at a first heat storage frequency, and the outdoor fan is controlled to be started; and when the temperature of the coil pipe is higher than a second preset temperature, controlling the compressor to keep the second heat storage frequency to operate. For example, when the coil temperature is less than or equal to 42 ℃ and greater than 38 ℃, it is proven that the coil temperature has begun to drop, requiring the system pressure to be raised to maintain the coil temperature at the preferred temperature of 40 ℃. At the moment, the outdoor fan is controlled to be started to operate on the premise of keeping the compressor to operate at the lowest operation frequency of 30Hz, so that the system pressure is improved, and the falling speed of the temperature of the coil is slowed down, maintained and even begins to rise to some extent. When the coil temperature is greater than 42 ℃, it is demonstrated that the coil temperature is still greater than the preferred temperature of 40 ℃. At the moment, the compressor is kept to operate at the lowest frequency of 30Hz and the outdoor fan is kept to be in a closed state, so that the rising speed of the temperature of the coil pipe is slowed down, maintained and even reduced on the premise that the compressor operates with low energy consumption.
Further, when the temperature of the coil continuously drops to 38 ℃ or even below, the heat storage control method further comprises the following steps:
and controlling the compressor to operate at the first heat accumulation frequency, and controlling the outdoor fan to be kept on. For example, when the coil temperature is less than 38 ℃, it is proved that the coil temperature is already in a low state, and the temperature needs to be rapidly raised to the preferred temperature of 40 ℃. At this moment, on the premise of ensuring the opening of the outdoor fan, the running frequency of the compressor is controlled to rise to 50Hz, so that the temperature of the coil pipe can rise back quickly, and the condition that the user experience is poor due to the fact that the temperature of the coil pipe is too low is avoided.
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 the 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 opening 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 the user 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 times of the air conditioner in a plurality of operation periods are counted by 1 hour, then a plurality of periods with the startup times within 7 days being more than 4 times are selected from the plurality of operation periods, then the average value of all startup times within each period is respectively calculated to be used as the predicted startup time of the operation period, and finally, the time point of subtracting 1 hour from each predicted startup time is used as the predicted time point, if a certain predicted time is 19:00, then 18:00 is the predicted time point of the predicted startup time.
By selectively determining the predicted time points 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 the 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 predicted starting time 19:00 of the user after 1 hour based on the scoring system, the probability score of starting the heating mode of the air conditioner is 78.5 → the probability score is greater than 70, so that the cloud server issues a heat storage instruction to the air conditioner, the air conditioner controls the compressor to operate at the frequency of 50Hz and the outdoor fan to be started, so that the coil temperature rises → when the coil temperature rises to 38 ℃, the compressor still keeps operating at 50Hz, the outdoor fan is controlled to be turned off at this time to reduce the system pressure, the temperature rise speed of the indoor coil is slowed down → when the coil temperature continues to rise to 42 ℃, the outdoor fan is controlled to keep off at this time, the compressor is controlled to operate at the lowest operating frequency of 30Hz, the temperature rise speed of the indoor coil is further slowed down → when the temperature of the indoor coil begins to fall and is less than 42, keeping the compressor running at the lowest working frequency of 30Hz, and controlling the outdoor fan to be started to increase the system pressure, slowing down the decreasing speed of the temperature of the coil pipe → when the temperature of the indoor coil pipe is less than 38 ℃, keeping the outdoor fan to be started, and controlling the compressor to be run at the running frequency increased to 50Hz to further slow down the decreasing speed of the temperature of the coil pipe.
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, one skilled in the art can adjust the above control method so that the present invention can be applied to more specific application scenarios.
For example, in an alternative embodiment, the specific values of the first preset temperature, the second preset temperature, the first heat accumulation frequency and the second heat accumulation frequency are not constant, and those skilled in the art can adjust the values without departing from the principle of the present invention, as long as the values are set reasonably. For example, the first preset temperature can be arbitrarily selected from 35 ℃ to 40 ℃, the second preset temperature can be arbitrarily selected from 40 ℃ to 45 ℃, the first heat storage frequency can be an arbitrary value from 40Hz to 60Hz, and the second heat storage frequency can be a lower operation frequency such as 35Hz besides 30 Hz.
For example, in another alternative embodiment, although the present embodiment is described with an example of controlling the outdoor fan to turn 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 principles of the present invention. For example, the outdoor fan may be controlled to operate before or after the compressor is turned on.
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 principle 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 point 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 illustrative description, and are not intended to limit the scope of the present invention, and a person skilled in the art may adjust the values 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 of an air conditioning and heat storage control method according to a second embodiment of the present invention.
As shown in fig. 5, in one possible embodiment, the main steps of the air conditioner heat storage control method include:
s201, when the predicted time point is reached, calculating probability score of starting a heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; for example, the cloud server calculates the average time of the user for frequent startup heating to be 19:00, and the predicted time point may be 1 hour before 19:00, namely 18:00, when 18:00 is reached, the cloud server calls a pre-established scoring system to calculate the probability score of the user for startup heating at 19:00, namely the probability of the user for startup heating at 19: 00. The scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the air conditioner and the probability score of the air conditioner for starting the heating mode at the next predicted starting time, namely, after 19:00 is input into the scoring system, the scoring system can calculate the probability of the air conditioner being started by a user for heating at the time point based on the historical operation information and the historical prediction information of the air conditioner.
S202, when the probability score is larger than a set threshold value, correcting and predicting the starting-up time based on the time correction parameter; for example, the time correction parameter is used to represent a corresponding relationship between the predicted boot-up time and the actual boot-up time, that is, a deviation between the predicted boot-up time and the actual boot-up time. On the premise of 100 minutes of full scale, the scoring system calculates the probability score of 80 minutes (namely 80% of the probability of starting the air conditioner) that the user starts the air conditioner for heating at 19:00 at 18:00, and proves that the user is very likely to start the air conditioner for heating at 19:00, and at the moment, the starting time is corrected based on the time correction parameter, for example, the predicted starting time is corrected by increasing or decreasing a time period on the basis of the determined predicted starting time, so that the corrected predicted starting time is closer to the real starting time of the user. For example, if the predicted boot time is 19:00 and the time correction parameter is +10min, the corrected predicted boot time is 19:00+10min, which is 19: 10.
S203, calculating the heat storage starting time of the air conditioner based on the corrected predicted starting time and the preset heat storage time; after correcting the predicted startup time, the start time of the heat storage mode may be determined based on the heat storage time. For example, if the air conditioner is preset to have a heat accumulation time of 5min, the heat accumulation start time is 18:55 when the predicted startup time is 19: 00.
And S204, controlling the compressor to operate at the first heat storage frequency when the heat storage starting time is reached. For example, after the cloud server calculates the heat storage starting time, when the time comes to 18:55, the cloud server issues a heat storage starting instruction to the air conditioner, controls the compressor to operate at a certain frequency lower than the rated operating frequency, for example, the first heat storage frequency is 50Hz, and controls the compressor to operate at 50Hz when the air conditioner operates the heat storage mode;
s205, controlling the outdoor fan to operate while, before or after 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 coil pipe of the indoor heat exchanger in the process that the compressor runs at the first heat storage frequency; for example, during the operation of the compressor at the first heat accumulation frequency, the coil temperature of the indoor heat exchanger is detected by a temperature sensor provided on or near the indoor heat exchanger.
S207, judging the temperature of the coil pipe and the first preset temperature; if the first preset temperature is 38 ℃, the detected coil temperature and the 38 ℃ are judged.
S208, selectively adjusting the on-off of the outdoor fan and/or the running frequency of the compressor based on the judgment result; for example, when the temperature of the coil is more than 38 ℃, the outdoor fan is controlled to be turned off, and the compressor is controlled to keep the first heat accumulation frequency to operate; and controlling the outdoor fan to operate and controlling the compressor to keep the first heat accumulation frequency to operate when the temperature of the coil is less than or equal to 38 ℃.
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-S208 are the same as or similar to embodiment 1, they are not repeated here. The following focuses on steps S202-S203.
In a preferred embodiment, the time correction parameter is determined during the last operation of the air conditioner. Specifically, when the air conditioner receives a startup instruction and operates last time, if the air conditioner receives the startup instruction and operates in a heating mode in the same time period of the previous day or the same time period of the previous days, the current actual startup time is recorded first, then historical predicted startup time and historical actual startup time in the set days before (including this time) this time are counted, and the average value of the historical predicted startup time and the average value of the historical actual startup time in the set days are calculated respectively. And then calculating a first difference value between the average value of the historical actual starting-up time and the average value of the historical predicted starting-up time, and storing the first difference value as a time correction parameter for the next corrected and predicted starting-up time.
For example, the cloud server counts historical predicted start-up time and historical actual start-up time of the air conditioner in the same period (e.g., 18:00-19:00) of the last 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 calculated to be 18:30 and the mean value of the historical actual start-up time is calculated to be 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 last 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.
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 this time belongs to a special situation, and the user may return home in advance due to a leave or other reasons, so that the current actual start-up time of the user this time is not suitable for being used as adjustment of the time correction parameter, so as to prevent the situation that the time correction parameter adjusted based on the actual start-up time of this time deviates from the actual habit of the user. 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, and the actual boot-up time are used for illustrative purposes only, and are not intended to limit the scope of the present invention, which can be adjusted by those 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 of an air conditioning and heat storage control method according to a third embodiment of the present invention.
As shown in fig. 6, in one possible embodiment, the main steps of the air conditioner heat storage control method 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 for the user at 19:00 at 18:00 (i.e. the probability of turning on the air conditioner is 80%), which proves that the user is 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.
And S304, when the heat accumulation starting time is reached, controlling the compressor to operate at the first heat accumulation frequency. For example, after the cloud server calculates the heat storage starting time, when the time comes to 18:55, the cloud server issues a heat storage starting instruction to the air conditioner, controls the compressor to operate at a certain frequency lower than the rated operating frequency, for example, the first heat storage frequency is 50Hz, and controls the compressor to operate at 50Hz when the air conditioner operates the heat storage mode;
s305, controlling the outdoor fan to operate at the same time, before or after 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.
S306, detecting the temperature of a coil pipe of the indoor heat exchanger in the process that the compressor runs at the first heat storage frequency; for example, during the operation of the compressor at the first heat accumulation frequency, the coil temperature of the indoor heat exchanger is detected by a temperature sensor provided on or near the indoor heat exchanger.
S307, judging the temperature of the coil pipe and the first preset temperature; if the first preset temperature is 38 ℃, the detected coil temperature and the 38 ℃ are judged.
S308, selectively adjusting the on-off of the outdoor fan and/or the running frequency of the compressor based on the judgment result; for example, when the temperature of the coil is more than 38 ℃, the outdoor fan is controlled to be turned off, and the compressor is controlled to keep the first heat accumulation frequency to operate; and controlling the outdoor fan to operate and controlling the compressor to keep the first heat accumulation frequency to operate when the temperature of the coil is less than or equal to 38 ℃.
As can be seen from the above description, by determining the heat storage time of the air conditioner based on the outdoor ambient temperature on the basis of embodiment 1 so that the heat storage time is corrected based on the outdoor ambient temperature, the accuracy of the heat storage time is further ensured, and the energy is prevented from being wasted.
Since steps S301 and S304-S308 are the same as or similar to embodiment 2, they are not repeated here. The following focuses on steps S302-S303.
Preferably, the heat accumulation time may be calculated based on a fitting formula between the outdoor ambient temperature and the heat accumulation time. For example, the heat storage time is calculated using the following formula (1):
t＝k×Tao+b (1)
in formula (1), t represents the heat accumulation time, Tao is the outdoor ambient temperature, and k and b are constants that can be fit based on experimental data. For example, the heat accumulation time of the compressor is tested several times for different outdoor ambient temperatures. In multiple experiments, the air conditioner air outlet temperature when the air conditioner enters a normal operation state is set to be the same target temperature, the compressor is enabled to operate at the same heat storage frequency, the air conditioner air outlet temperature reaches the same target temperature under different outdoor environment temperatures, and the heat storage time required by the compressor is judged, so that the linear relation between the heat storage time of the compressor and the outdoor environment temperature is established.
Of course, the determination of the heat storage time may also be performed based on other relationships between the outdoor ambient temperature and the heat storage time, such as the fixed corresponding relationship between the outdoor ambient temperature and the heat storage time. If a comparison table of the outdoor environment temperature and the heat storage time is determined based on the heat storage test, the comparison table is stored in the air conditioner, and the heat storage time corresponding to the outdoor environment temperature can be determined by using the comparison table.
The setting mode has the advantages that: because different outdoor environment temperatures have great influence on the heat storage capacity of the air conditioner, the heat storage time is determined by utilizing a fitting formula or a corresponding relation between the outdoor environment temperatures and the heat storage time, the accuracy of the heat storage time can be further ensured on the basis of ensuring the accuracy of the actual starting time, and the energy is prevented from being excessively wasted.
Example 4
A fourth embodiment of the present invention will be described with reference to fig. 7. Fig. 7 is a flowchart of an air conditioning and heat storage control method according to a fourth embodiment of the present invention.
As shown in fig. 7, in one possible embodiment, the main steps of the air conditioner heat storage control method include:
s401, 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.
S402, when the probability score is larger than a set threshold value, correcting and predicting the starting-up time based on a 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 minutes (that is, 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 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.
And S405, controlling the compressor to operate at the first heat storage frequency when the heat storage starting time is reached. For example, after the cloud server calculates the heat storage starting time, when the time comes to 18:55, the cloud server issues a heat storage starting instruction to the air conditioner, controls the compressor to operate at a certain frequency lower than the rated operating frequency, for example, the first heat storage frequency is 50Hz, and controls the compressor to operate at 50Hz when the air conditioner operates the heat storage mode;
s406, controlling the outdoor fan to operate while, before or after 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 coil pipe of the indoor heat exchanger in the process that the compressor runs at the first heat storage frequency; for example, during the operation of the compressor at the first heat accumulation frequency, the coil temperature of the indoor heat exchanger is detected by a temperature sensor provided on or near the indoor heat exchanger.
S408, judging the temperature of the coil pipe and the first preset temperature; if the first preset temperature is 38 ℃, the detected coil temperature and the 38 ℃ are judged.
S409, selectively adjusting the on-off of the outdoor fan and/or the running frequency of the compressor based on the judgment result; for example, when the temperature of the coil is more than 38 ℃, the outdoor fan is controlled to be turned off, and the compressor is controlled to keep the first heat accumulation frequency to operate; and controlling the outdoor fan to operate and controlling the compressor to keep the first heat accumulation frequency to operate when the temperature of the coil is less than or equal to 38 ℃.
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 guaranteed, 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, 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 (10)

1. A heat storage control method of an air conditioner, the air conditioner comprises a compressor, a throttling element, an outdoor heat exchanger, an outdoor fan, an indoor heat exchanger and an indoor fan, wherein the outdoor fan is an alternating current fan, and the heat storage control method comprises the following steps:
when the predicted time point is reached, calculating the probability score of starting the heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system;
when the probability score is larger than a set threshold value, correcting the predicted starting-up time based on a time correction parameter;
determining a heat storage time of the air conditioner based on an outdoor ambient temperature;
calculating a heat accumulation starting time of the air conditioner based on the corrected predicted starting time and the heat accumulation time;
controlling the compressor to operate at a first heat accumulation frequency when the heat accumulation start time is reached;
controlling the outdoor fan to operate while, before, or after the compressor starts to operate;
detecting a coil temperature of the indoor heat exchanger during operation of the compressor at the first heat accumulation frequency;
judging the temperature of the coil pipe and a first preset temperature;
selectively adjusting the on/off of the outdoor fan and/or the operation frequency of the compressor 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.
2. The air conditioner heat storage control method according to claim 1, wherein the step of selectively adjusting the on/off of the outdoor fan and/or the operating frequency of the compressor based on the determination result further comprises:
when the temperature of the coil pipe is higher than the first preset temperature, controlling the compressor to keep the first heat storage frequency to operate, and controlling the outdoor fan to be turned off;
and when the temperature of the coil pipe is less than or equal to the first preset temperature, controlling the compressor to keep the first heat storage frequency running, and controlling the outdoor fan to keep on.
3. An air conditioner heat storage control method according to claim 2, characterized by, after the step of "controlling the compressor to keep the first heat storage frequency running and controlling the outdoor fan to be turned off", further comprising:
detecting the temperature of the coil;
comparing the temperature of the coil with the first preset temperature and the second preset temperature;
selectively controlling the compressor to operate at a second heat storage frequency based on the comparison result;
the first preset temperature is lower than the second preset temperature, and the first heat storage frequency is higher than the second heat storage frequency.
4. An air conditioner heat storage control method according to claim 3, wherein the step of selectively controlling the compressor to operate at the second heat storage frequency based on the comparison result further comprises:
when the temperature of the coil pipe is higher than the second preset temperature, controlling the compressor to operate at the second heat storage frequency;
and when the temperature of the coil pipe is less than or equal to the second preset temperature and greater than the first preset temperature, controlling the compressor to keep the first heat storage frequency to operate.
5. An air conditioner heat storage control method according to claim 4, characterized in that after the step of "controlling the compressor to operate at the second heat storage frequency", the heat storage control method further comprises:
detecting the temperature of the coil;
comparing the temperature of the coil with the first preset temperature and the second preset temperature;
and selectively controlling the compressor to keep the second heat accumulation frequency to operate and controlling the outdoor fan to be started based on the comparison result.
6. An air conditioner heat storage control method according to claim 5, wherein the step of selectively controlling the compressor to maintain the second heat storage frequency in operation and controlling the outdoor fan to be turned on based on the comparison result further comprises:
when the temperature of the coil pipe is higher than the first preset temperature and lower than or equal to the second preset temperature, controlling the compressor to keep the second heat storage frequency to operate, and controlling the outdoor fan to be started;
and when the temperature of the coil pipe is higher than the second preset temperature, controlling the compressor to keep the second heat storage frequency to operate.
7. The method for controlling heat storage 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 start a heating mode at the next predicted startup time based on the historical startup probability, the recent startup 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.
8. An air conditioner heat storage control method according to claim 1, characterized by further comprising:
judging the activity of the air conditioner based on the historical operation information of the air conditioner;
when the activity of the air conditioner is high, counting the operation times of the air conditioner in a plurality of operation 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.
9. An air conditioner heat storage control method according to claim 1, characterized in that 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 was last operated.
10. An air conditioner heat storage control method according to claim 9, 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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