CN112050428B - Control method of air conditioner - Google Patents
Control method of air conditioner Download PDFInfo
- Publication number
- CN112050428B CN112050428B CN201910488253.0A CN201910488253A CN112050428B CN 112050428 B CN112050428 B CN 112050428B CN 201910488253 A CN201910488253 A CN 201910488253A CN 112050428 B CN112050428 B CN 112050428B
- Authority
- CN
- China
- Prior art keywords
- time
- air conditioner
- starting
- compressor
- predicted
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 90
- 238000005338 heat storage Methods 0.000 claims abstract description 92
- 238000010438 heat treatment Methods 0.000 claims abstract description 82
- 238000009825 accumulation Methods 0.000 claims abstract description 32
- 230000000694 effects Effects 0.000 claims description 19
- 230000002265 prevention Effects 0.000 abstract description 15
- 238000004378 air conditioning Methods 0.000 abstract description 2
- 238000007599 discharging Methods 0.000 abstract 1
- 239000003921 oil Substances 0.000 description 25
- 239000002699 waste material Substances 0.000 description 7
- 238000010586 diagram Methods 0.000 description 3
- 230000003247 decreasing effect Effects 0.000 description 2
- 230000015654 memory Effects 0.000 description 2
- 239000003507 refrigerant Substances 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000004931 aggregating effect Effects 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007664 blowing Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000010687 lubricating oil Substances 0.000 description 1
- 238000005461 lubrication Methods 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
Images
Classifications
-
- 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
-
- 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
- F24F11/89—Arrangement or mounting of control or safety devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
- F24F2110/12—Temperature of the outside air
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Signal Processing (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Fluid Mechanics (AREA)
- Thermal Sciences (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention relates to the technical field of air conditioning, in particular to a control method of an air conditioner. The invention aims to solve the problems of long waiting time and poor user experience when the existing air conditioner runs in a cold air prevention mode. The control method of the invention comprises the following steps: when the predicted time point is reached, calculating the probability score of starting the heating mode at the next predicted starting time based on a scoring system; when the probability score is larger than a set threshold value, judging the outdoor environment temperature and the first preset environment temperature; when the outdoor environment temperature is less than or equal to a first preset environment temperature, correcting and predicting the starting time based on the time correction parameter; determining a heat storage time based on the outdoor ambient temperature; calculating a heat accumulation starting time based on the corrected predicted starting time and heat accumulation time; and when the heat accumulation starting moment is reached, controlling the compressor to operate at the heat accumulation frequency and controlling the outdoor fan to operate. The control method of the air conditioner can realize the purpose of immediately discharging hot air when the air conditioner is started by storing heat in advance, thereby improving the user experience.
Description
Technical Field
The invention relates to the technical field of air conditioning, in particular to a control method of an air conditioner.
Background
When the air conditioner is started in cold winter, because the indoor and outdoor temperature is low, the air blown out after the air conditioner is started is cold air, the user experience is seriously influenced, and therefore, the existing air conditioner is started and provided with a cold air prevention mode. When the cold air prevention mode is started, the compressor and the outdoor fan are controlled to be started to store heat, and the indoor fan is controlled to operate after the temperature rises, so that the condition that cold air is blown out when the air conditioner is started is avoided.
Although the air conditioner is configured with a cold air prevention mode, the problem of blowing out cold air when the air conditioner is started is solved to a certain extent, the control mode also has the following defects inevitably. In practical application, the waiting time of the air conditioner is long due to the cold air prevention mode running within a few minutes after the air conditioner is started, so that the user can feel that the air conditioner has problems, and the user dissatisfaction and complaint are caused.
Accordingly, there is a need in the art for a new control method of an air conditioner to solve the above-mentioned problems.
Disclosure of Invention
In order to solve the above problems in the prior art, that is, to solve the problems of long waiting time and poor user experience when the conventional air conditioner operates in a cold air prevention mode, the present invention provides a control method of an air conditioner, wherein the air conditioner comprises a compressor, a throttling element, an outdoor heat exchanger, an outdoor fan, an indoor heat exchanger, and an indoor fan, and the control method comprises:
when the predicted time point is reached, calculating the probability score of starting the heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; the predicted time point is a certain time point before the predicted starting-up time;
when the probability score is larger than a set threshold value, judging the outdoor environment temperature and the first preset environment temperature;
correcting the predicted starting-up time based on a time correction parameter when the outdoor environment temperature is less than or equal to a first preset environment temperature;
determining a heat storage time of the air conditioner based on the outdoor ambient temperature;
calculating a heat accumulation start time of the air conditioner based on the corrected predicted startup time and the heat accumulation time;
controlling the compressor to operate at a heat storage frequency when the heat storage start time is reached;
controlling the outdoor fan to operate while, before, or after the compressor starts to operate;
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 method for controlling an air conditioner, the method further includes:
detecting the coil temperature of the indoor heat exchanger during the operation of the compressor at the heat accumulation frequency;
judging the sizes of the coil temperature and a first preset coil temperature;
selectively controlling the compressor and the outdoor fan to stop operating based on the determination result;
wherein the step of selectively controlling the compressor and the outdoor fan to stop operating based on the determination result further comprises:
and when the temperature of the coil pipe is greater than the first preset temperature of the coil pipe, controlling the compressor and the outdoor fan to stop running.
In a preferred embodiment of the control method of the air conditioner, after the step of "controlling the compressor and the outdoor fan to stop operating", the control method further includes:
detecting the temperature of the coil;
judging the temperature of the coil and the temperature of a second preset coil;
selectively controlling the compressor and the outdoor fan to be turned on based on the comparison result;
wherein the first preset coil temperature is greater than the second preset coil temperature;
wherein the step of selectively controlling the compressor and the outdoor fan to be turned on based on the comparison result further comprises:
and when the coil temperature is less than or equal to the second preset coil temperature, controlling the compressor to operate at the heat storage frequency and controlling the outdoor fan to be started.
In a preferred embodiment of the above method for controlling an air conditioner, the method further includes:
when the outdoor environment temperature is higher than the first preset environment temperature, controlling the air conditioner to keep a shutdown state;
when a starting-up instruction is received, acquiring the outdoor environment temperature;
judging the outdoor environment temperature and a second preset environment temperature;
controlling the compressor to increase frequency in stages based on the judgment result;
wherein the second preset ambient temperature is greater than the first preset ambient temperature.
In a preferred embodiment of the above method for controlling an air conditioner, the step of "controlling the compressor to increase the frequency in stages based on the determination result" further includes:
when the outdoor environment temperature is greater than the second preset environment temperature, determining a second starting frequency and a second frequency increasing speed of the compressor based on the outdoor environment temperature;
controlling the compressor to increase the frequency from the second starting frequency to a first oil return frequency at the second increasing frequency speed;
when the compressor is raised to the first oil return frequency, controlling the compressor to operate for a first oil return time at the first oil return frequency;
and when the compressor runs at the first oil return frequency for the first oil return time, controlling the compressor to be upscaled to a target frequency at the second frequency increasing speed.
In a preferred embodiment of the above method for controlling an air conditioner, the step of calculating a probability score of the air conditioner turning on a heating mode at the next predicted turn-on time based on a pre-established scoring system further includes:
inputting the next predicted starting time into a pre-trained heating probability model to obtain the historical starting probability of the air conditioner for starting the heating mode at the next predicted starting time;
obtaining the recent starting probability based on the number of days for starting the heating mode at the next predicted starting time within the set number of days;
obtaining historical prediction accuracy of the next predicted starting-up time based on the historical prediction information;
calculating a probability score for the air conditioner to turn on a heating mode at the next predicted turn-on time based on the historical turn-on probability, the recent turn-on probability, and the historical prediction accuracy;
the heating probability model is used for representing the corresponding relation between the historical operation information and the historical opening probability.
In a preferred embodiment of the above method for controlling an air conditioner, the method further includes:
judging the activity of the air conditioner based on the historical operation information of the air conditioner;
when the activity of the air conditioner is high, counting the running times of the air conditioner in a plurality of running time periods within a set number of days;
selecting a plurality of operation time periods with operation times larger than the set times from the plurality of operation time periods;
respectively calculating the average value of the starting time of all the heating modes in each selected operation time period as the predicted starting time of the operation time period;
and calculating the difference value between each predicted starting-up time and a preset time period as the predicted time point of the predicted starting-up time.
In a preferred embodiment of the above method for controlling an air conditioner, the method further includes:
acquiring historical predicted starting-up time and historical actual starting-up time within the set number of days;
calculating the average value of the historical predicted starting time and the average value of the historical actual starting time;
calculating a first difference value between the average value of the historical actual starting-up time and the average value of the historical predicted starting-up time;
determining the first difference as the time correction parameter.
As can be understood by those skilled in the art, in a preferred embodiment of the present invention, an air conditioner includes a compressor, a throttling element, an outdoor heat exchanger, an outdoor fan, an indoor heat exchanger, and an indoor fan, and a control method includes: when the air conditioner is in a shutdown state, acquiring the outdoor environment temperature; judging the magnitude of the outdoor environment temperature and the first preset environment temperature; when the outdoor environment temperature is less than or equal to a first preset environment temperature, controlling the compressor to operate at a heat storage frequency; the outdoor fan is controlled to operate simultaneously with, before, or after the compressor starts operating.
Through the control mode, the control method of the air conditioner can realize the purpose of immediately outputting hot air when the air conditioner is started through the advance heat storage, improve the user experience, and solve the problems of long waiting time and poor user experience when the air conditioner is operated in a cold air prevention mode. Particularly, through when outdoor ambient temperature is less than or equal to first preset ambient temperature, control compressor heat accumulation operation for can effectively carry out the heat accumulation to indoor heat exchanger's coil pipe when the air conditioner is in the shutdown state, make the coil pipe keep certain temperature, thereby blow off hot-blast immediately when the user starts the air conditioner, promote user experience.
By calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on the scoring system when the predicted time point is reached, the control method can reasonably predict the probability of the user for starting the air conditioner at the next predicted starting time based on the historical information of the air conditioner used by the user, and therefore, a heat storage instruction is issued in time when the probability of starting the air conditioner is high, so that the air conditioner is controlled to store heat in advance, and the instant heating at the starting time is realized when the user starts the air conditioner. In addition, the prediction process is completely and automatically completed, so that the control method can improve the intelligent degree of the air conditioner and improve the user experience.
By correcting the predicted starting-up time based on the time correction parameter, the control method can correct the predicted starting-up time based on the starting-up habit of the user, so that the corrected predicted starting-up time is closer to the real starting-up time of the user, the air conditioner is subjected to heat storage based on the corrected predicted starting-up time, energy waste caused by insufficient heat storage time or overlong heat storage time can be avoided, accurate and personalized treatment for a single user is achieved, and user experience is improved. The heat storage time of the air conditioner is determined based on the outdoor environment temperature, so that the heat storage time is corrected based on the outdoor environment temperature, the accuracy of the heat storage time is further ensured, and the energy is prevented from being wasted.
Further, through the in-process at the compressor with the operation of heat accumulation frequency, detect indoor heat exchanger's coil pipe temperature and adjust the switching of compressor and outdoor fan based on the coil pipe temperature and the comparative result of first predetermined temperature for the air conditioner is in a comparatively stable temperature interval all the time at heat accumulation stage coil pipe temperature, and the assurance user goes out hot-blast when opening the air conditioner immediately.
Furthermore, the air conditioner is kept in a shutdown state when the outdoor environment temperature is higher than the first preset environment temperature, and the compressor is controlled to increase frequency in stages based on the outdoor environment temperature after the starting instruction is received.
Further, by calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on the calculated historical starting probability, the recent starting probability and the historical prediction accuracy, the control method can give consideration to the historical use habits, the recent use habits and the historical prediction accuracy of the user on the air conditioner to jointly determine the final probability score, so that the calculated probability score is more accurate and is more suitable for the recent use habits of the user.
Furthermore, the predicted time points are selectively determined based on the historical operation information of the air conditioner, and the control method can effectively screen the predicted starting time of the user who uses the air conditioner frequently, so that the predicted starting time is predicted in a targeted manner, and the use experience of the user is improved.
Furthermore, by carrying out statistical calculation on the historical predicted starting-up time and the historical actual starting-up time within the set number of days, calculating a first difference value between the average value of the predicted starting-up time and the average value of the historical actual starting-up time within the set number of days, and taking the first difference value as a time correction parameter, the control method can calculate and determine the time correction parameter by using the use habit of the user on the air conditioner in the latest period of time, so that the predicted starting-up time corrected by the time correction parameter is closer to the real starting-up time of the user in the latest period of time.
Drawings
A control method of an air conditioner of the present invention is described below with reference to the accompanying drawings. In the drawings:
fig. 1 is a flowchart of a control method of an air conditioner in a first embodiment of the present invention;
fig. 2 is a logic control diagram of a control method of an air conditioner in a first embodiment of the present invention;
fig. 3 is a schematic view of a scoring system of a control method of an air conditioner according to a first embodiment of the present invention;
fig. 4 is a flowchart of a method of controlling an air conditioner according to a first embodiment of the present invention for determining a predicted time point;
fig. 5 is a flowchart of a control method of an air conditioner in a second embodiment of the present invention;
fig. 6 is a flowchart of a control method of an air conditioner in a third embodiment of the present invention;
fig. 7 is a flowchart of a method for controlling an air conditioner according to a fourth embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and are not intended to limit the scope of the present invention. For example, although the present embodiment 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 control method of an air conditioner of the present invention will be described. Wherein, fig. 1 is a flow chart of a control method of an air conditioner of the present invention; fig. 2 is a logic diagram of a control method of an air conditioner according to the present invention.
As shown in fig. 1, in order to solve the problems of long waiting time and poor user experience when the conventional air conditioner operates in the cold-proof mode, 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. The control method 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, judging the outdoor environment temperature and the first preset environment temperature; for example, the first preset ambient temperature is 5 ℃, on the premise that the full score is 100 minutes, the scoring system calculates that the probability score of the user turning on the air conditioner for heating at 19:00 is 80 minutes (namely, 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 judges the outdoor ambient temperature and the 5 ℃ temperature. For another example, the scoring system calculates that the probability score of the user turning on the air conditioner to heat at 19:00 is 50, which proves that the user is very likely not to turn on the air conditioner at 19:00, and the cloud server does not perform any action at this time, so that the air conditioner is kept in a shutdown state.
S103, when the outdoor environment temperature is less than or equal to a first preset environment temperature, controlling the compressor to operate at a heat storage frequency; for example, when the outdoor ambient temperature is 0 ℃ and the heat storage frequency is 40Hz, the waiting time for the air conditioner to operate in the cold air prevention mode is long and the compressor cannot rapidly increase the frequency by operating at a high frequency when the outdoor ambient temperature is less than 5 ℃. At the moment, the compressor is controlled to run at the heat storage frequency of 40Hz, and the coil pipe of the indoor heat exchanger can be subjected to heat storage when the air conditioner is in a shutdown state, so that a user can skip the cold air prevention mode to directly discharge hot air when opening the air conditioner.
S104, controlling the outdoor fan to operate while, before or after the compressor starts to operate; for example, the outdoor fan is controlled to start operation while the compressor starts operation. Of course, the starting time of the outdoor fan may be before or after the compressor starts to operate, as long as the outdoor fan is correspondingly started to operate when the compressor operates.
Through the control mode, the control method of the air conditioner can realize the purpose of immediately outputting hot air when the air conditioner is started through the advance heat storage, improve the user experience, and solve the problems of long waiting time and poor user experience when the air conditioner is operated in a cold air prevention mode. Particularly, through when outdoor ambient temperature is less than or equal to first preset ambient temperature, control compressor heat accumulation operation for can effectively carry out the heat accumulation to indoor heat exchanger's coil pipe when the air conditioner is in the shutdown state, make the coil pipe keep certain temperature, thereby blow off hot-blast immediately when the user starts the air conditioner, save the time of waiting for cold wind prevention mode operation, promote user experience.
By calculating the probability score of the air conditioner 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 starting the air conditioner at the next predicted starting time based on the historical information of the user using the air conditioner, and selectively and timely issue a heat storage instruction by further judging the outdoor environment temperature when the probability of starting the air conditioner is higher so as to control the air conditioner to store heat in advance and realize starting and heating when the user starts the air conditioner. In addition, the prediction process is completely and automatically completed, so that the control method can improve the intelligent degree of the air conditioner and improve the user experience.
A control method of an air conditioner of the present invention will be described in detail with reference to fig. 1 to 4. Fig. 3 is a schematic diagram of a scoring system of a control method of an air conditioner according to a first embodiment of the present invention; fig. 4 is a flowchart of determining a predicted time point of a control method of an air conditioner according to a first embodiment of the present invention.
As shown in fig. 1 and fig. 2, in a preferred embodiment, step S103 may further include: when the outdoor environment temperature is less than or equal to a first preset environment temperature, determining a first starting frequency and a first frequency increasing speed of the compressor based on the outdoor environment temperature; the compressor is controlled to be increased from the first starting frequency to the heat storage frequency at a first increasing frequency speed. For example, the first preset ambient temperature may be 5 ℃, the first start frequency may be 30Hz, the heat storage frequency may be 40Hz, and the first frequency increasing speed may be 1 Hz/s. When the outdoor temperature is less than or equal to the first preset environment temperature, the outdoor temperature is low, the viscosity of lubricating oil in the compressor is high, and the lubrication is poor, so that the first starting frequency and the first frequency increasing speed are set to be relatively low, and the compressor is slowly increased to the heat storage frequency.
Further, in a preferred embodiment, the control method further includes:
detecting the temperature of a coil pipe of an indoor heat exchanger in the process that a compressor runs at a heat storage frequency; judging the temperature of the coil and the temperature of a first preset coil; and selectively controlling the compressor and the outdoor fan to stop running based on the judgment result. Specifically, when the temperature of the coil pipe is greater than a first preset coil pipe temperature, the compressor and the outdoor fan are controlled to stop running; and when the temperature of the coil pipe is less than or equal to the first preset temperature of the coil pipe, controlling the compressor and the outdoor fan to keep running. For example, the first preset coil temperature may be 40 ℃, and when the air conditioner is storing heat, the coil temperature is controlled to be about 40 ℃ to ensure that hot air is discharged when the air conditioner is started. After the compressor runs for a period of time in the heat storage mode, when the temperature of the coil pipe is higher than 40 ℃, the temperature of the coil pipe is proved to exceed the better temperature, the temperature rise speed of the coil pipe needs to be slowed down, and energy waste is avoided. At this time, the pressure of the system is reduced by controlling the compressor and the outdoor fan to be closed, the phase change process of the refrigerant is stopped, and the temperature rising speed of the coil pipe begins to slow down, maintain and finally fall. When the temperature of the coil is less than 40 ℃, the coil temperature is proved to be still low, and the rapid temperature rise is still needed. At the moment, the compressor is kept running at the heat storage frequency, and the outdoor fan is controlled to keep running, so that the temperature rise speed of the coil pipe temperature can be ensured, and the coil pipe temperature continues to rise.
Further, after the step of "controlling the compressor and the outdoor fan to stop operating" when the coil is more than 40 ℃, the control method further comprises the following steps:
detecting the temperature of the coil; judging the temperature of the coil and the temperature of a second preset coil; and selectively controlling the compressor and the outdoor fan to be started based on the comparison result. Specifically, when the temperature of the coil is less than or equal to a second preset coil temperature, the compressor is controlled to operate at the heat storage frequency, and the outdoor fan is controlled to be started; when the temperature of the coil is less than or equal to the first preset coil temperature and greater than the second preset coil temperature, controlling the compressor and the outdoor fan to keep a closing state; wherein the first preset coil temperature is greater than the second preset coil temperature. For example, the second predetermined coil temperature may be 35 ℃, and when the coil temperature is less than 35 ℃, it is proved that the coil temperature has dropped to a lower temperature, and the temperature rise rate needs to be increased immediately. At the moment, the compressor is controlled to operate at the heat storage frequency, and the outdoor fan is controlled to be started, so that the pressure of the system is increased, the phase change process of the refrigerant is recovered, and the temperature of the coil pipe begins to rise to some extent. When the temperature of the coil is more than 35 ℃ and less than 40 ℃, the temperature of the coil is still high, and the coil can be kept to be cooled continuously in order to avoid energy waste. At the moment, the temperature of the coil pipe can be ensured to be slowly reduced by controlling the compressor and the outdoor fan to be kept closed.
The control method can effectively reduce the energy consumption of the air conditioner on the premise of ensuring the stable change of the temperature of the coil pipe. When the temperature of the coil pipe is reduced to be less than or equal to the second preset coil pipe temperature, the compressor is controlled to be started and run with the heat storage frequency, the outdoor fan is controlled to be started, the system pressure can be improved, the temperature of the coil pipe is further improved, and the temperature of the coil pipe is guaranteed to be always in a better interval.
Referring to fig. 2, in a preferred embodiment, the control method further includes:
and when the outdoor environment temperature is higher than the first preset environment temperature, controlling the air conditioner to keep a shutdown state. For example, the first preset temperature may also be 5 ℃, when the outdoor environment temperature is greater than the first preset temperature, the outdoor environment temperature is higher, the compressor runs in the anti-cold wind mode for a shorter time, and even if the anti-cold wind mode is not run, the air conditioner has a condition of fast frequency increase when being started due to the higher outdoor environment temperature.
Further, after the step of 'controlling the air conditioner to maintain the stopped state', the control method further includes:
when a starting-up instruction is received, acquiring the outdoor environment temperature; judging the outdoor environment temperature and the second preset environment temperature; controlling the compressor to increase frequency in stages based on the judgment result; and the second preset environment temperature is greater than the first preset environment temperature. Specifically, when the outdoor ambient temperature is greater than a second preset ambient temperature, first determining a second starting frequency and a second frequency increasing speed of the compressor based on the outdoor ambient temperature; secondly, controlling the compressor to increase the frequency from the second starting frequency to the first oil return frequency at a second increasing speed and stay for the first oil return time; and then controlling the compressor to increase the frequency to the target frequency at the second increasing frequency speed. When the outdoor environment temperature is less than or equal to a second preset environment temperature and greater than the first preset environment temperature, firstly, determining a third starting frequency and a third frequency increasing speed of the compressor based on the outdoor environment temperature; secondly, controlling the compressor to increase the frequency from the third starting frequency to the first oil return frequency at a third frequency increasing speed and stay for a second oil return time; then controlling the compressor to increase the frequency to a second oil return frequency at a third frequency increasing speed and stay for a third oil return time; and finally, controlling the compressor to increase the frequency to the target frequency at the third frequency increasing speed.
For example, the second preset ambient temperature may be 15 ℃, the second start frequency may be 50Hz, the second boost speed may be 2Hz/s, the first oil return frequency may be 68Hz, the first oil return time may be 30s, and the target frequency may be a maximum frequency of the compressor, such as 120 Hz. When the outdoor environment temperature is further higher than 15 ℃, the outdoor environment temperature is proved to be higher at the moment, which is beneficial to the quick start and oil return of the compressor, at the moment, the second start frequency and the second frequency-raising speed can be set to be relatively higher, only one oil return frequency is set, and the first oil return time staying at the oil return frequency is set to be relatively shorter, so that the compressor can quickly raise the frequency to the maximum frequency in a very short time on the premise of ensuring the oil return effect, and hot air can be blown out in a very short time. Therefore, when the outdoor environment temperature is judged to be higher than 15 ℃, the compressor is controlled to start at the starting frequency of 50Hz, the frequency is quickly increased to 68Hz at the speed of 2Hz/s, and then the 68Hz frequency is kept for running for 30s, so that the oil return effect of the compressor is ensured; and then, controlling the compressor to directly increase from 68Hz to 120Hz at an increasing speed of 2Hz/s so as to realize quick hot air outlet of the air conditioner.
As another example, the third start frequency may be 40Hz, the third ramp rate may be 1Hz/s, the second oil return frequency may be 88Hz, and the second and third oil return times may be 60 s. When the outdoor environment temperature is higher than 5 ℃ but lower than 15 ℃, the outdoor environment temperature is proved to be higher than 5 ℃ but not enough to quickly start and smoothly return oil to the compressor, at the moment, the third starting frequency and the third frequency-raising speed can be set relatively lower, two oil-returning frequencies of 68Hz and 88Hz are set for ensuring the oil-returning effect, and the second oil-returning time and the third oil-returning time which stay at the oil-returning frequency are also set relatively longer, so that the compressor can raise the frequency to the maximum frequency as fast as possible on the premise of ensuring the oil-returning effect. Therefore, when the outdoor environment temperature is judged to be more than 5 ℃ but less than 15 ℃, the compressor is firstly controlled to start at the starting frequency of 40Hz, the frequency is quickly increased to 68Hz at the speed of 1Hz/s, and then the 68Hz frequency is kept for running for 60s, so that the oil return effect of the compressor is ensured; next, controlling the compressor to ascend from 68Hz to 88Hz at the ascending speed of 1Hz/s, and then keeping the frequency for 60s to ensure the oil return effect again; and finally, directly increasing the frequency to the maximum working frequency of 120Hz at the frequency increasing speed of 1Hz/s so as to realize the quick hot air outlet of the air conditioner.
By keeping the air conditioner in a shutdown state when the outdoor environment temperature is higher than the first preset environment temperature and controlling the compressor to increase frequency in stages based on the outdoor environment temperature and the second preset environment temperature after receiving the starting instruction, the control method can achieve the purpose of quick heating by directly and quickly increasing frequency when the outdoor environment temperature is relatively high, and avoids the occurrence of poor user experience caused by overlong cold wind prevention time.
Referring to fig. 3 and 4, in a preferred embodiment, step S101 may further include: inputting the next predicted starting time into a pre-trained heating probability model to obtain the historical starting probability of the air conditioner for starting the heating mode at the next predicted starting time; obtaining the recent starting probability based on the number of days for starting the heating mode at the next predicted starting time within the set number of days; obtaining historical prediction accuracy of the next predicted starting-up time based on historical prediction information; calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on the historical starting probability, the recent starting probability and the historical prediction accuracy; the heating probability model is used for representing the corresponding relation between the historical operation information and the historical opening probability. Specifically, as shown in fig. 3, in the present embodiment, after the predicted startup time is input into the scoring system, the score calculated by the scoring system is derived from three parts, the first part is the historical opening frequency calculated based on the trained heating probability model; the second part is the recent opening probability obtained based on the number of times of opening within the set number of days at the predicted starting time; the third part is historical prediction accuracy of the predicted starting-up time obtained based on historical prediction information; the probability score can be weighted values of historical opening probability, recent opening probability and historical prediction accuracy, and the weights of the three parts in the scoring system can be 70 points, 15 points and 15 points respectively.
In the first part, the process of establishing the heating probability model may specifically be: and establishing a model by taking the historical starting and heating time, the starting times corresponding to the starting and heating time and the total operation days of the air conditioner as characteristic data to obtain the corresponding relation between the historical starting and heating time and the historical starting probability, and inputting the predicted starting time into the model so as to output the historical starting probability corresponding to the predicted starting time. In the second part, the set number of days may be the last 7 days, the recent opening probability of the last 7 days with the number of opening days increased by 1 day is increased by 20%, and when the number of opening days is more than 5 days, the recent opening probability is 100%. In the third part, the historical prediction information may be a ratio of a predicted correct number to a predicted total number in the historical prediction of the predicted boot-up time.
For example, after the next predicted boot time is 19:00 and is input into the scoring system, the heating probability model calculates that the historical boot probability at the boot time is 80%; if the number of opening days in nearly 7 days is 4 days, the recent opening probability is 80 percent; the correct prediction quantity at the time of predicting the startup at 19:00 is 7 times, the total quantity is 10 times, and the prediction accuracy is 70 percent; from this, the three probabilities are multiplied by their weights, respectively, and summed to obtain a probability score P of 80% × 70+ 80% × 15+ 70% × 15 of 78.5.
By calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on the calculated historical starting probability, the recent starting probability and the historical prediction accuracy, the control method can give consideration to the historical use habits, the recent use habits and the historical prediction accuracy of the user on the air conditioner to jointly determine the final probability score, so that the calculated probability score is more accurate and is more suitable for the recent use habits of the user.
Further, referring to fig. 4, in a preferred embodiment, the predicted time point may be determined based on the following method:
the predicted time point is selectively determined based on historical operation information of the air conditioner. Specifically, based on historical operation information of the air conditioner, judging the activity of the air conditioner; when the activity of the air conditioner is high, counting the operation times of the air conditioner in a plurality of operation time periods within set days; selecting a plurality of operation time periods with operation times larger than the set times from a plurality of operation time periods; respectively calculating the average value of the starting time of all the heating modes in each selected operation time period as the predicted starting time of the operation time period; and calculating the difference value between each predicted starting-up time and a preset time period as the predicted time point of the predicted starting-up time. For example, the activity of the air conditioner may be defined as whether there is a heating startup behavior in the past few days (e.g., the past 3 days), and when there is a heating startup record in the past few days, the activity of the air conditioner is high, otherwise, the activity is low. When the activity degree is low, the user is proved to have less times of using the air conditioner, the probability of starting the air conditioner is lower, and whether the air conditioner stores heat or not is not predicted at the moment. When the activity of the air conditioner is high, the fact that a user uses the air conditioner frequently is proved, habits and rules of using the air conditioner are easier to analyze, the operation times of the air conditioner in a plurality of operation periods within set days (such as within the last 7 days) are counted, for example, the operation periods are counted by aggregating all the startup heating time according to 1 hour, then a plurality of periods with the startup times within 7 days greater than 4 times are selected from the plurality of operation periods, then the average value of all the startup time within each period is respectively calculated to be used as the predicted startup time of the operation period, and finally the time point obtained by subtracting 1 hour from each predicted startup time is used as the predicted time point, if a certain predicted startup time is 19:00, then 18:00 is the predicted time point of the predicted startup time.
By selectively determining the predicted time point based on the historical operation information of the air conditioner, the control method can effectively screen the predicted starting time of the air conditioner which is frequently used by a user, so that the predicted starting time is predicted in a targeted manner, and the use experience of the user is improved.
Referring to fig. 2, a possible operation of the air conditioner of the present invention will be described.
As shown in fig. 2, when the predicted startup time 19:00 after 1 hour is reached, the cloud server calculates the probability score of 78.5 minutes → more than 70 minutes for the user to start the heating mode of the air conditioner at 19:00 based on the scoring system, firstly obtains the outdoor environment temperature of 3 ℃, the temperature is lower than the first preset environment temperature → based on the outdoor environment temperature of 3 ℃, determines the first starting frequency of the compressor to be 30Hz, the first frequency increasing speed is 1Hz/s → controls the compressor to start at 30Hz and increase to 40Hz for heat storage operation at the speed of 1Hz/s, and controls the outdoor fan to start operation → controls the compressor and the outdoor fan to stop operation when the temperature of the coil pipe rises to be higher than 40 ℃ to reduce the system pressure, slow down the increasing speed of the temperature of the coil pipe → controls the frequency of the compressor to increase to 40Hz for heat storage operation when the temperature of the indoor coil pipe starts to decrease and is lower than 35 ℃, and the outdoor fan is controlled to be started so as to improve the system pressure and slow down the falling 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, those skilled in the art can adjust the setting manner described above, so that the present invention can be applied to more specific application scenarios.
For example, in an alternative embodiment, although the values of the first preset ambient temperature, the second preset ambient temperature and the heat storage frequency are specifically illustrated in the present embodiment, the values are only used for illustrating the principle of the present invention and are not intended to limit the protection scope of the present invention, and a person skilled in the art may adjust the values so that the adjusted values can meet more specific application scenarios. Similarly, the numerical ranges of the first preset coil temperature, the second preset coil temperature, the first starting frequency, the second starting frequency, the third starting frequency, the first frequency-increasing speed, the second frequency-increasing speed, the third frequency-increasing speed, the first oil-returning frequency, the second oil-returning frequency, the first oil-returning time, the second oil-returning time, the third oil-returning time, the target frequency, etc. can be adjusted at will as long as the adjustment satisfies the necessary size relationship among each other.
For example, in another alternative embodiment, although the present embodiment is described with an example of controlling the outdoor fan to be turned on while the compressor is started to operate, a person skilled in the art may make adjustments to the compressor and outdoor fan control sequence without departing from the principles of the present invention. For example, the start of the outdoor fan may be controlled before or after the compressor is turned on.
For example, in an alternative embodiment, the specific configuration of the scoring system is not limited to the above embodiment, and those skilled in the art can adjust the scoring system without departing from the principles of the present invention, as long as the adjustment is sufficient to make the probability score calculated by the scoring system conform to the usage habit of the air conditioner by the user. For example, the scoring system may also be comprised of any one or two of the three parts described above.
For another example, in another alternative embodiment, although the steps in the above embodiment are described in a sequential manner, those skilled in the art will understand that, in order to achieve the effect of the embodiment, different steps need not be executed in such an order, and may be executed simultaneously (in parallel) or in an inverse order, even if some steps are omitted, and these simple changes are within the protection scope of the present invention. For example, when the predicted time is determined based on the historical operation information, the number of times the air conditioner is operated in a plurality of operation periods within the set number of days may be directly counted without determining the activity of the air conditioner.
As another example, in another alternative embodiment, specific values of the predicted time point, the predicted boot time, the probability score, the set number of days, the weight, etc. listed in this embodiment are only used as an exemplary illustration, and are not intended to limit the scope of the present invention, and those skilled in the art can make adjustments without departing from the principle of the present control method.
Of course, the above alternative embodiments, and the alternative embodiments and the preferred embodiments can also be used in a cross-matching manner, so that a new embodiment is combined to be suitable for a more specific application scenario.
Example 2
A second embodiment of the present invention will be described with reference to fig. 5. Fig. 5 is a flowchart illustrating a method for controlling an air conditioner according to a second embodiment of the present invention.
As shown in fig. 5, in one possible embodiment, the control method of the air conditioner includes the main steps of:
s201, when the predicted time point is reached, calculating probability score of starting a heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; 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.
S202, when the probability score is larger than a set threshold, judging the outdoor environment temperature and the first preset environment temperature; for example, the first preset ambient temperature is 5 ℃, on the premise that the full score is 100 minutes, the scoring system calculates that the probability score of the user turning on the air conditioner for heating at 19:00 is 80 minutes (namely, 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 judges the outdoor ambient temperature and the 5 ℃ temperature. For another example, the scoring system calculates that the probability score of the user turning on the air conditioner to heat at 19:00 is 50, which proves that the user is very likely not to turn on the air conditioner at 19:00, and the cloud server does not perform any action at this time, so that the air conditioner is kept in a shutdown state.
S203, when the outdoor environment temperature is less than or equal to a first preset environment temperature, correcting and predicting the starting-up time based on the time correction parameter; for example, the outdoor environment temperature is 0 ℃, and the time correction parameter is used to represent the corresponding relationship between the predicted startup time and the actual startup time, that is, the deviation between the predicted startup time and the actual startup time. When the outdoor environment temperature is less than 5 ℃, the waiting time for the air conditioner to operate in the cold air prevention mode is long, and the compressor cannot realize rapid frequency increase by operating at a high frequency. At this time, the starting-up time is corrected based on the time correction parameter, and if the predicted starting-up time is corrected by increasing or decreasing a time period on the basis of the determined predicted starting-up time, the corrected predicted starting-up time can be closer to the real starting-up 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.
S204, 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.
S205, when the heat accumulation starting time is reached, controlling the compressor to operate at the heat accumulation frequency; for example, the heat storage frequency is 40Hz, the cloud server calculates the heat storage starting time, and then controls the compressor to operate at a certain frequency lower than the rated operating frequency when the time comes to 18:55, for example, the heat storage frequency is 40Hz, and when the air conditioner operates in the heat storage mode, the compressor is controlled to operate at 40 Hz.
S206, controlling the outdoor fan to operate while the compressor starts to operate; for example, the outdoor fan is an ac fan, and the outdoor fan is controlled to start operation while the compressor starts to operate. Of course, the starting time of the outdoor fan may be before or after the compressor starts to operate, as long as the outdoor fan is correspondingly started to operate when the compressor operates.
As can be seen from the above description, on the basis of embodiment 1, by correcting the predicted startup time based on the time correction parameter when the outdoor environment temperature is less than or equal to the first preset environment temperature, 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 real startup time of the user, and thus the air conditioner is heat-stored based on the corrected predicted startup time, energy waste caused by insufficient heat storage time or excessively 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 to S202 and steps S205 to S206 are the same as or similar to the control manner of embodiment 1, they are not repeated herein. The following focuses on steps S203 to S204.
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 for operation 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 the historical predicted startup time and the historical actual startup time in the set days before (including this time) this time are counted, and the average value of the historical predicted startup time and the average value of the historical actual startup time in the set days are calculated respectively. And then calculating a first difference value between the average value of the historical actual starting-up time and the average value of the historical predicted starting-up time, and storing the first difference value as a time correction parameter for the next corrected and predicted starting-up time.
For example, the cloud server counts historical predicted start-up time and historical actual start-up time of the air conditioner in the same period (e.g., 18:00-19:00) of the past 7 days including this time, and calculates a mean value of all historical predicted start-up time and a mean value of all historical actual start-up time, if the mean value of the historical predicted start-up time is 18:30 and the mean value of the historical actual start-up time is 18:40, then the first difference is equal to 18:40-18:30 being 10min, that is, the time correction parameter is 10min, that is, in the past 7 days, the actual start-up time of the user is 10min later than the predicted start-up time on average. Therefore, when the predicted startup time is predicted next time, 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 predicted 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 when the predicted starting time is predicted next time, the predicted starting time can be improved by calculating the sum of the predicted starting time and the time correction parameter, namely subtracting 10min from the predicted starting time to serve as the corrected predicted starting time.
Similarly, when the power-on operation is in the heating mode, a new time correction parameter can be obtained by recording the predicted power-on time and the current actual power-on time and combining the data 7 days before the power-on, so as to correct the predicted power-on time for use next time. That is to say, each time the air conditioner receives a starting instruction to perform heating operation, the time correction parameter is calculated and adjusted based on the acquired current actual starting time and the data in the past set days, and the control method enables the adjusted time correction parameter to better accord with the use habit of the user to the air conditioner in the latest period of time, and ensures the accuracy of the adjusted time correction parameter.
In a more preferred embodiment, before adjusting the time correction parameter, it may be determined that the time correction parameter is not to be adjusted based on a comparison result of a second difference between the current actual startup time of the current startup and the current predicted startup time and a preset threshold. Specifically, when a starting-up instruction is received, the current actual starting-up time is recorded; calculating a second difference value between the current actual starting-up time and the predicted starting-up time; judging the size of the second difference value and a preset threshold value; when the second difference is smaller than the preset threshold value, adjusting the time correction parameter; otherwise, the time correction parameter is not adjusted, but the last time correction parameter is used.
For example, the preset threshold may be 20min, when the air conditioner receives a start-up instruction and performs heating operation this time, the current actual start-up time is recorded as 17:00, the predicted start-up time is 18:00, and the difference between the two is 60min, which is much greater than the preset threshold of 20min, which indicates that the actual start-up time of the user at this time belongs to a special situation, and the user may return home in advance due to a request or other reasons, so that the current actual start-up time is not suitable for being used for adjusting the time correction parameter, so as to prevent the situation that the time correction parameter adjusted based on the actual start-up time at this time deviates from the actual habit of the user instead. On the contrary, if the difference between the predicted boot-up time and the current actual boot-up time is within 20min or further within 10min, it is proved that the data can be used for adjusting the time correction parameter, so as to ensure the adjustment precision of the time correction parameter and avoid the waste of energy during heat storage.
It should be noted that the above preferred embodiments are only used for illustrating the principle of the present invention, and are not intended to limit the protection scope of the present invention. Without departing from the principles of the present invention, those skilled in the art can adjust the setting manner described above, so that the present invention can be applied to more specific application scenarios.
For example, in an alternative embodiment, the timing of the determination of the time correction parameter may be adjusted as long as the adjusted time satisfies a condition that is earlier than the current corrected predicted boot-up time. For example, the time correction parameter may also be determined before the predicted boot-up time is obtained, and the like.
For another example, in another alternative embodiment, the determination of the time correction parameter is not constant, and the person skilled in the art can adjust the calculation process so that the calculated result can be more accurate. For example, in the calculation process, the historical predicted boot-up time and the historical trial boot-up time may not be calculated, but the historical predicted boot-up time and the historical actual boot-up time may be determined in a manner of weighted average or the like.
For another example, in another alternative embodiment, the timing of adjusting the time correction parameter may be adjusted after each time the power-on command is received, and the process of determining the magnitude between the second difference and the preset threshold is omitted, and such a process is not deviated from the concept of the present invention.
As another example, in another alternative embodiment, the specific values of the set number of days, the time correction parameter, the predicted boot-up time, the actual boot-up time are used for illustrative purposes only, and are not intended to limit the scope of the present invention, which may be adjusted by one skilled in the art without departing from the principles of the present control method.
Example 3
A third embodiment of the present invention will be described with reference to fig. 6. Fig. 6 is a flowchart illustrating a method for controlling an air conditioner according to a third embodiment of the present invention.
As shown in fig. 6, in one possible embodiment, the control method of the air conditioner includes the main steps of:
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; 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.
S302, when the probability score is larger than a set threshold, judging the outdoor environment temperature and the first preset environment temperature; for example, the first preset ambient temperature is 5 ℃, on the premise that the full score is 100 minutes, the scoring system calculates that the probability score of the user turning on the air conditioner for heating at 19:00 is 80 minutes (namely, 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 judges the outdoor ambient temperature and the 5 ℃ temperature. For another example, the scoring system calculates that the probability score of the user turning on the air conditioner to heat at 19:00 is 50, which proves that the user is very likely not to turn on the air conditioner at 19:00, and the cloud server does not perform any action at this time, so that the air conditioner is kept in a shutdown state.
S303, when the outdoor environment temperature is less than or equal to a first preset environment temperature, determining the heat storage time of the air conditioner based on the outdoor environment temperature; for example, when the outdoor ambient temperature is 0 ℃, the waiting time for the air conditioner to operate in the cold air prevention mode is long when the outdoor ambient temperature is less than 5 ℃, and the compressor cannot perform fast frequency up-conversion by operating at a high frequency. At the moment, the cloud server calculates the heat storage time matched with the outdoor environment temperature based on the outdoor environment temperature.
S304, 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.
S305, when the heat accumulation starting time is reached, controlling the compressor to operate at the heat accumulation frequency; for example, the heat storage frequency is 40Hz, the cloud server calculates the heat storage starting time, and then controls the compressor to operate at a certain frequency lower than the rated operating frequency when the time comes to 18:55, for example, the heat storage frequency is 40Hz, and when the air conditioner operates in the heat storage mode, the compressor is controlled to operate at 40 Hz.
S306, controlling the outdoor fan to operate while the compressor starts to operate; for example, the outdoor fan is an ac fan, and the outdoor fan is controlled to start operation while the compressor starts to operate. Of course, the starting time of the outdoor fan may be before or after the compressor starts to operate, as long as the outdoor fan is correspondingly started to operate when the compressor operates.
As can be seen from the above description, by determining the heat storage time of the air conditioner based on the outdoor ambient temperature when the outdoor ambient temperature is less than or equal to the first preset 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 energy is prevented from being wasted.
Since steps S301 to S302 and steps S305 to S306 are the same as or similar to the control manner of embodiment 1, detailed description thereof is omitted. The following description focuses on steps S303 to S304.
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 heat storage time required by the compressor when the air conditioner air outlet temperature reaches the same target temperature under different outdoor environment temperatures is judged, and therefore 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 temperature and the heat storage time, the accuracy of the heat storage time can be further ensured on the basis of ensuring the accuracy of the actual starting time, and the energy is prevented from being excessively wasted.
Example 4
A fourth embodiment of the present invention will be described with reference to fig. 7. Fig. 7 is a flowchart illustrating a method for controlling an air conditioner according to a fourth embodiment of the present invention.
As shown in fig. 7, in one possible embodiment, the control method of the air conditioner includes the main steps of:
s401, when the predicted time point is reached, calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on a pre-established scoring system; 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.
S402, when the probability score is larger than a set threshold, judging the outdoor environment temperature and the first preset environment temperature; for example, the first preset ambient temperature is 5 ℃, on the premise that the full score is 100 minutes, the scoring system calculates that the probability score of the user turning on the air conditioner for heating at 19:00 is 80 minutes (namely, 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 judges the outdoor ambient temperature and the 5 ℃ temperature. For another example, the scoring system calculates that the probability score of the user turning on the air conditioner to heat at 19:00 is 50, which proves that the user is very likely not to turn on the air conditioner at 19:00, and the cloud server does not perform any action at this time, so that the air conditioner is kept in a shutdown state.
S403, when the outdoor environment temperature is less than or equal to a first preset environment temperature, correcting and predicting the starting-up time based on the time correction parameter; for example, the outdoor environment temperature is 0 ℃, and the time correction parameter is used to represent the corresponding relationship between the predicted startup time and the actual startup time, that is, the deviation between the predicted startup time and the actual startup time. When the outdoor environment temperature is less than 5 ℃, the waiting time for the air conditioner to operate in the cold air prevention mode is long, and the compressor cannot realize rapid frequency increase by operating at a high frequency. At this time, the starting-up time is corrected based on the time correction parameter, and if the predicted starting-up time is corrected by increasing or decreasing a time period on the basis of the determined predicted starting-up time, the corrected predicted starting-up time can be closer to the real starting-up 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.
S404, 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.
S405, 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.
S406, when the heat accumulation starting moment is reached, controlling the compressor to operate at the heat accumulation frequency; for example, the heat storage frequency is 40Hz, the cloud server calculates the heat storage starting time, and then controls the compressor to operate at a certain frequency lower than the rated operating frequency when the time comes to 18:55, for example, the heat storage frequency is 40Hz, and when the air conditioner operates in the heat storage mode, the compressor is controlled to operate at 40 Hz.
S407, controlling the outdoor fan to operate while the compressor starts to operate; for example, the outdoor fan is an ac fan, and the outdoor fan is controlled to start operation while the compressor starts to operate. Of course, the starting time of the outdoor fan may be before or after the compressor starts to operate, as long as the outdoor fan is correspondingly started to operate when the compressor operates.
As can be seen from the above description, on the basis of embodiment 1, the predicted startup time is corrected based on the time correction parameter when the outdoor environment temperature is less than or equal to the first preset environment temperature, 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 real startup time of the user, and thus the air conditioner is heat-stored based on the corrected predicted startup time, energy waste caused by 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. Meanwhile, the heat storage time of the air conditioner is determined based on the outdoor environment temperature when the outdoor environment temperature is less than or equal to the first preset environment temperature, so that the heat storage time is corrected based on the outdoor environment temperature, the accuracy of the heat storage time is further ensured, and the energy is prevented from being wasted.
Since the implementation steps in this embodiment have been described in detail in embodiments 1 to 3, detailed description is omitted in this embodiment.
Those skilled in the art will appreciate that the air conditioner described above may also include other known structures such as processors, controllers, memories, etc., wherein the memories include, but are not limited to, ram, flash, rom, prom, volatile, non-volatile, serial, parallel, or registers, etc., and the processors include, but are not limited to, CPLD/FPGA, DSP, ARM processor, MIPS processor, etc. Such well-known structures are not shown in the drawings in order to not unnecessarily obscure embodiments of the present disclosure.
It should be noted that although the detailed steps of the method of the present invention have been described in detail, those skilled in the art can combine, separate and change the order of the above steps without departing from the basic principle of the present invention, and the modified technical solution does not change the basic concept of the present invention and thus falls into the protection scope of the present invention.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (8)
1. A control method of an air conditioner including a compressor, a throttling element, an outdoor heat exchanger, an outdoor fan, an indoor heat exchanger, and an indoor fan, the control method comprising:
when the predicted time point is reached, calculating the probability score of starting the heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; the predicted time point is a certain time point before the predicted starting-up time;
when the probability score is larger than a set threshold value, judging the outdoor environment temperature and the first preset environment temperature;
correcting the predicted starting-up time based on a time correction parameter when the outdoor environment temperature is less than or equal to a first preset environment temperature;
determining a heat storage time of the air conditioner based on the outdoor ambient temperature;
calculating a heat accumulation start time of the air conditioner based on the corrected predicted startup time and the heat accumulation time;
controlling the compressor to operate at a heat storage frequency when the heat storage start time is reached;
controlling the outdoor fan to operate while, before, or after the compressor starts to operate;
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 control method of an air conditioner according to claim 1, further comprising:
detecting the coil temperature of the indoor heat exchanger during the operation of the compressor at the heat accumulation frequency;
judging the sizes of the coil temperature and a first preset coil temperature;
selectively controlling the compressor and the outdoor fan to stop operating based on the determination result;
wherein the step of selectively controlling the compressor and the outdoor fan to stop operating based on the determination result further comprises:
and when the temperature of the coil pipe is greater than the first preset temperature of the coil pipe, controlling the compressor and the outdoor fan to stop running.
3. The control method of an air conditioner according to claim 2, wherein after the step of 'controlling the compressor and the outdoor fan to stop operating', the control method further comprises:
detecting the temperature of the coil;
judging the temperature of the coil and the temperature of a second preset coil;
selectively controlling the compressor and the outdoor fan to be turned on based on the comparison result;
wherein the first preset coil temperature is greater than the second preset coil temperature;
wherein the step of selectively controlling the compressor and the outdoor fan to be turned on based on the comparison result further comprises:
and when the coil temperature is less than or equal to the second preset coil temperature, controlling the compressor to operate at the heat storage frequency and controlling the outdoor fan to be started.
4. The control method of an air conditioner according to claim 1, further comprising:
when the outdoor environment temperature is higher than the first preset environment temperature, controlling the air conditioner to keep a shutdown state;
when a starting-up instruction is received, acquiring the outdoor environment temperature;
judging the outdoor environment temperature and a second preset environment temperature;
controlling the compressor to increase frequency in stages based on the judgment result;
wherein the second preset ambient temperature is greater than the first preset ambient temperature.
5. The method of claim 4, wherein the step of controlling the compressor to be stepped up in frequency based on the determination result further comprises:
when the outdoor environment temperature is greater than the second preset environment temperature, determining a second starting frequency and a second frequency increasing speed of the compressor based on the outdoor environment temperature;
controlling the compressor to increase the frequency from the second starting frequency to a first oil return frequency at the second increasing frequency speed;
when the compressor is raised to the first oil return frequency, controlling the compressor to operate for a first oil return time at the first oil return frequency;
and when the compressor runs at the first oil return frequency for the first oil return time, controlling the compressor to be upscaled to a target frequency at the second frequency increasing speed.
6. The method as claimed in claim 1, wherein the step of calculating a probability score of the air conditioner turning on the heating mode at the next predicted turn-on time based on a pre-established scoring system further comprises:
inputting the next predicted starting time into a pre-trained heating probability model to obtain the historical starting probability of the air conditioner for starting the heating mode at the next predicted starting time;
obtaining the recent starting probability based on the number of days for starting the heating mode at the next predicted starting time within the set number of days;
obtaining historical prediction accuracy of the next predicted starting-up time based on the historical prediction information;
calculating a probability score for the air conditioner to turn on a heating mode at the next predicted turn-on time based on the historical turn-on probability, the recent turn-on probability, and the historical prediction accuracy;
the heating probability model is used for representing the corresponding relation between the historical operation information and the historical opening probability.
7. The control method of an air conditioner according to claim 1, further comprising:
judging the activity of the air conditioner based on the historical operation information of the air conditioner;
when the activity of the air conditioner is high, counting the running times of the air conditioner in a plurality of running time periods within a set number of days;
selecting a plurality of operation time periods with operation times larger than the set times from the plurality of operation time periods;
respectively calculating the average value of the starting time of all the heating modes in each selected operation time period as the predicted starting time of the operation time period;
and calculating the difference value between each predicted starting-up time and a preset time period as the predicted time point of the predicted starting-up time.
8. The control method of an air conditioner according to claim 1, further comprising:
acquiring historical predicted starting-up time and historical actual starting-up time within set 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910488253.0A CN112050428B (en) | 2019-06-05 | 2019-06-05 | Control method of air conditioner |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910488253.0A CN112050428B (en) | 2019-06-05 | 2019-06-05 | Control method of air conditioner |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112050428A CN112050428A (en) | 2020-12-08 |
| CN112050428B true CN112050428B (en) | 2022-02-18 |
Family
ID=73609758
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910488253.0A Active CN112050428B (en) | 2019-06-05 | 2019-06-05 | Control method of air conditioner |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112050428B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114118439B (en) * | 2021-11-09 | 2022-05-13 | 北京得瑞领新科技有限公司 | Training data generation method, system and storage medium of decision level prediction model |
| CN114234409B (en) * | 2021-12-24 | 2023-04-25 | 珠海格力电器股份有限公司 | Air conditioner control method, air conditioner and intelligent terminal |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1165939A (en) * | 1996-01-10 | 1997-11-26 | 三菱电机株式会社 | Heat accumulating air conditioner and heat accumulation predictor method |
| JP2014236605A (en) * | 2013-06-03 | 2014-12-15 | 三菱電機株式会社 | Management system of air-conditioner |
| JP2015055443A (en) * | 2013-09-13 | 2015-03-23 | パナソニック株式会社 | Air conditioner |
| CN105928062A (en) * | 2016-04-29 | 2016-09-07 | 珠海格力电器股份有限公司 | Air conditioner indoor unit, air conditioner unit and control method of air conditioner unit |
| CN106288200A (en) * | 2016-08-19 | 2017-01-04 | 芜湖美智空调设备有限公司 | The control method of air-conditioner, control device and air-conditioner |
| CN107246683A (en) * | 2017-06-26 | 2017-10-13 | 美的集团武汉制冷设备有限公司 | Air-conditioning system and its control method |
-
2019
- 2019-06-05 CN CN201910488253.0A patent/CN112050428B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1165939A (en) * | 1996-01-10 | 1997-11-26 | 三菱电机株式会社 | Heat accumulating air conditioner and heat accumulation predictor method |
| JP2014236605A (en) * | 2013-06-03 | 2014-12-15 | 三菱電機株式会社 | Management system of air-conditioner |
| JP2015055443A (en) * | 2013-09-13 | 2015-03-23 | パナソニック株式会社 | Air conditioner |
| CN105928062A (en) * | 2016-04-29 | 2016-09-07 | 珠海格力电器股份有限公司 | Air conditioner indoor unit, air conditioner unit and control method of air conditioner unit |
| CN106288200A (en) * | 2016-08-19 | 2017-01-04 | 芜湖美智空调设备有限公司 | The control method of air-conditioner, control device and air-conditioner |
| CN107246683A (en) * | 2017-06-26 | 2017-10-13 | 美的集团武汉制冷设备有限公司 | Air-conditioning system and its control method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112050428A (en) | 2020-12-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112050425B (en) | Control method of air conditioner | |
| CN112050412B (en) | Heat storage control method of air conditioner | |
| CN112050428B (en) | Control method of air conditioner | |
| CN112050427B (en) | Control method of air conditioner | |
| CN112032949B (en) | Air conditioner heat storage control method | |
| CN112050426B (en) | Control method of air conditioner | |
| CN112050436B (en) | Control method of air conditioner | |
| CN112050434B (en) | Control method of air conditioner | |
| CN112050419B (en) | Heat storage control method of air conditioner | |
| CN112032943B (en) | Air conditioner heat storage control method | |
| CN112050422B (en) | Heat storage mode control method of air conditioner | |
| CN112050407B (en) | Heat storage control method of air conditioner | |
| CN112050401B (en) | Heat storage control method of air conditioner | |
| CN112050411B (en) | Heat storage control method of air conditioner | |
| CN112032944B (en) | Air conditioner heat storage control method | |
| CN112050406B (en) | Heat storage control method of air conditioner | |
| CN112050409B (en) | Heat storage control method of air conditioner | |
| CN112032957B (en) | Air conditioner heat storage control method | |
| CN112032956B (en) | Air conditioner heat storage control method | |
| CN112050405B (en) | Heat storage control method of air conditioner | |
| CN112032952B (en) | Air conditioner heat storage control method | |
| CN112032953B (en) | Air conditioner heat storage control method | |
| CN112032945B (en) | Air conditioner heat storage control method | |
| CN112050420B (en) | Heat storage mode control method of air conditioner | |
| CN112050433A (en) | Control method of air conditioner |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 266101 Haier Industrial Park, 1 Haier Road, Laoshan District, Shandong, Qingdao Applicant after: QINGDAO HAIER AIR CONDITIONER GENERAL Corp.,Ltd. Applicant after: Haier Smart Home Co., Ltd. Address before: 266101 Haier Industrial Park, 1 Haier Road, Laoshan District, Shandong, Qingdao Applicant before: QINGDAO HAIER AIR CONDITIONER GENERAL Corp.,Ltd. Applicant before: QINGDAO HAIER JOINT STOCK Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |