CN112050385B - Control method of air conditioner under refrigeration working condition - Google Patents
Control method of air conditioner under refrigeration working condition Download PDFInfo
- Publication number
- CN112050385B CN112050385B CN201910492046.2A CN201910492046A CN112050385B CN 112050385 B CN112050385 B CN 112050385B CN 201910492046 A CN201910492046 A CN 201910492046A CN 112050385 B CN112050385 B CN 112050385B
- Authority
- CN
- China
- Prior art keywords
- time
- air conditioner
- starting
- temperature
- humidity
- 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 76
- 238000005057 refrigeration Methods 0.000 title claims abstract description 37
- 238000007791 dehumidification Methods 0.000 claims abstract description 49
- 238000012937 correction Methods 0.000 claims abstract description 24
- 230000002650 habitual effect Effects 0.000 claims abstract description 8
- 238000001816 cooling Methods 0.000 claims description 43
- 239000004576 sand Substances 0.000 claims description 14
- 230000009467 reduction Effects 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 description 16
- 238000004378 air conditioning Methods 0.000 description 9
- 230000000694 effects Effects 0.000 description 9
- 230000008569 process Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 239000002699 waste material Substances 0.000 description 4
- 238000012360 testing method Methods 0.000 description 3
- 230000001788 irregular Effects 0.000 description 2
- 239000000047 product Substances 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
- 230000008859 change Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 230000001360 synchronised 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
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
- F24F11/77—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—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
-
- 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
- F24F2110/20—Humidity
-
- 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)
- Fluid Mechanics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Thermal Sciences (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention belongs to the field of air conditioners, and particularly provides a control method of an air conditioner under a refrigeration working condition. The existing air conditioner can not accurately judge the starting time under the refrigeration working condition, so that the starting time is inaccurate, and the user experience is influenced, and the control method comprises the following steps: acquiring a preset starting-up time; correcting the preset starting-up time based on the time correction parameter; acquiring an actual temperature T and an actual humidity RH; calculating the temperature drop from T to the habitual temperature TsTime t of1And dehumidification from RH to customary humidity RHsTime t of2(ii) a Comparing t1And t2Determining the time delta t for starting the air conditioner in advance; an early opening time is determined. The invention can accurately control the time delta t for opening the air conditioner in advance before the user goes home, thereby saving energy, simultaneously ensuring that the indoor temperature and humidity reach the standard set by the user when the user arrives home, and ensuring that the opening time in advance is more accurate.
Description
Technical Field
The invention belongs to the technical field of air conditioners, and particularly provides a control method of an air conditioner under a refrigeration working condition.
Background
The air conditioner is widely applied in daily life, particularly in the field of intelligent home, and along with the gradual improvement of the requirements of users, the air conditioner with intelligent control is favored by more and more users.
The intelligent control methods for the starting time of the air conditioner are many, but the intelligent control methods cannot be accurately set according to the indoor environment, and particularly under the refrigeration working condition, because the refrigeration is usually carried out in hot summer, the conventional control method usually judges the starting time only through the indoor temperature. Often, due to inaccurate starting time, indoor temperature and humidity do not reach the required temperature and humidity after a user arrives at home, so that the user is dissatisfied, or the required temperature and humidity are reached, and electric energy is wasted.
Accordingly, there is a need in the art for a new method for controlling an air conditioner under a refrigeration condition to solve the problem that the existing air conditioner cannot accurately judge the startup time under the refrigeration condition, and further causes inaccurate startup time and affects user experience.
Disclosure of Invention
In order to solve the above problems in the prior art, that is, to solve the problem that the conventional air conditioner cannot accurately judge the starting time under the refrigeration condition, so that the starting time is inaccurate and the user experience is affected, the present invention provides a control method of an air conditioner under the refrigeration condition, wherein the air conditioner comprises a compressor and an indoor fan, and the control method comprises:
acquiring a preset starting time of the air conditioner;
correcting the preset starting-up time based on the time correction parameter;
acquiring the actual temperature T and the actual humidity RH in a room;
calculating the temperature reduction from the actual temperature T to the habit temperature T based on the operation parameters of the air conditioner and the habit information of the usersTime t of1And dehumidifying from the actual humidity RH to a customary humidity RHsTime t of2；
Comparison t1And t2And determining the time delta t for opening the air conditioner in advance based on the comparison result;
and determining the early starting time based on the time delta t for starting the air conditioner in advance and the corrected preset starting time.
In the preferable technical scheme of the control method of the air conditioner under the refrigeration working condition, the operation parameters of the air conditioner comprise the refrigeration speed v of the air conditioner1And a dehumidification rate v2The user habit information comprises the habit temperature TsAnd said habitual humidity RHs；
Wherein the cooling speed v1Refrigeration power w based on the air conditioner1And the indoor space area S, the dehumidification speed v2Dehumidification power w based on the air conditioner2And an indoor space area S.
In the preferable technical scheme of the control method of the air conditioner under the refrigeration working condition, the temperature reduction from the actual temperature T to the habit temperature T is calculated based on the operation parameters of the air conditioner and the habit information of the usersTime t of1And dehumidifying from the actual humidity RH to the customary humidity RHsTime t of2"further comprising:
based on the actual temperature T and the habit temperature TsAnd the cooling speed v1Calculating the temperature decrease from the actual temperature T to the habitual temperature TsTime t of1；
Based on the actual humidity RH and the habit humidity RHsAnd the dehumidification speed v2Calculating the humidity from actual humidity RH to customary humidity RHsTime t of2。
In the preferable technical scheme of the control method of the air conditioner under the refrigeration working condition, the comparison t1And t2And determining a time Δ t "required to turn on the air conditioner in advance based on the comparison result further includes:
when t is1＞t2+teWhen t is equal to t1；
Wherein, teIs a time offset value.
In a preferred technical solution of the control method of the air conditioner under the above-mentioned refrigeration condition, the control method further includes:
when t is equal to t1While controlling the compressor to a first preset frequency f1Operating and controlling the indoor fan to rotate at a first preset rotating speed r1And (5) operating.
In the preferable technical scheme of the control method of the air conditioner under the refrigeration working condition, the comparison t1And t2And determining a time Δ t "required to turn on the air conditioner in advance based on the comparison result further includes:
when t is1≤t2+teWhen t is equal to t2；
Wherein, teIs a time offset value.
In a preferred technical solution of the control method of the air conditioner under the above-mentioned refrigeration condition, the control method further includes:
when t is equal to t2While controlling the compressor to a second preset frequency f2Operating and controlling the indoor fan to rotate at a second preset rotating speed r2And (5) operating.
In a preferable technical solution of the control method of the air conditioner under the above-mentioned refrigeration condition, the control method further includes:
every trAnd updating the user habit information.
In the preferable technical scheme of the control method of the air conditioner under the refrigeration working condition, the step of obtaining the preset starting time of the air conditioner further comprises:
acquiring a preset starting moment set by a user; or
Acquiring historical actual starting time of the air conditioner within set days;
and estimating the preset starting-up time based on the historical actual starting-up time.
In an preferable technical solution of the control method of the air conditioner under the above-mentioned refrigeration condition, the time correction parameter is obtained in a manner that:
acquiring historical preset startup time and historical actual startup time within set days;
calculating the average value of the historical preset starting-up time and the average value of the historical actual starting-up time;
calculating a first difference value between the average value of the historical actual starting-up time and the average value of the historical preset starting-up time;
determining the first difference as a time correction parameter.
As can be understood by those skilled in the art, in the technical solution of the present invention, an air conditioner includes a compressor and an indoor fan, and a control method includes: acquiring a preset starting time of the air conditioner; correcting the preset starting-up time based on the time correction parameter; acquiring the actual temperature T and the actual humidity RH in a room; based on the operating parameters of the air conditioner and the user habit information, the temperature from the actual temperature T to the habit temperature T is calculatedsTime t of1And dehumidification from actual humidity RH to customary humidity RHsTime t of2(ii) a Comparing t1And t2And determining the time delta t for starting the air conditioner in advance based on the comparison result; and determining the early starting time based on the time delta t for starting the air conditioner in advance and the corrected preset starting time.
By the arrangement mode, the control method of the air conditioner under the refrigeration working condition simultaneously introduces the indoor actual temperature T, the actual humidity RH and the user habitual temperature T in the process of judging the time delta T for starting the air conditioner in advancesAnd the customary humidity RHsThe indoor temperature T and the humidity RH and the habitual temperature T set by the user can be fully consideredsAnd customary humidity RHsThe difference of (1) and (2) so that the air conditioner controls the temperature and the humidity simultaneously within the time delta t, the temperature and the humidity of the indoor space can all reach the expected state of a user, the problem that the existing air conditioner cannot accurately judge the starting time under the refrigeration working condition, and further the starting time is inaccurate and the user experience is influenced is solved. The invention also optimizes the time length of the advanced opening time delta t, so that the air conditioner can obtain the advanced opening time delta t as small as possible, and the loss of electric energy is reduced. By accurately determining the preset startup before detecting the actual temperature T and the actual humidity RH in the roomAnd the time delta t for starting the air conditioner in advance is calculated, and then the time for starting the air conditioner in advance is calculated, so that the condition that the indoor air conditioning is too early and wastes electric energy, or the indoor air conditioning is too late and the user arrives at home and does not finish the indoor air conditioning and the user experience is influenced is avoided.
Drawings
The control method of the air conditioner in the cooling mode according to the present invention will be described with reference to the accompanying drawings. In the drawings:
fig. 1 is a flowchart illustrating a control method of an air conditioner under a cooling condition according to a first embodiment of the present invention;
fig. 2 is a logic diagram of a control method of an air conditioner under a cooling condition according to a first embodiment of the present invention.
FIG. 3 is a flowchart illustrating a control method of an air conditioner under a cooling condition according to a second embodiment of the present invention;
FIG. 4 is a flowchart of a control method of an air conditioner under a cooling condition according to a third embodiment of the present invention;
FIG. 5 is a flowchart illustrating a control method of an air conditioner under a cooling condition according to a fourth embodiment of the present invention;
FIG. 6 is a flowchart illustrating a control method of an air conditioner under a cooling condition according to a fifth embodiment of the present invention;
fig. 7 is a schematic diagram of a scoring system according to a fifth 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. And can be adjusted as needed by those skilled in the art to suit particular applications. For example, although the specification describes the calculation of the cooling speed v1 based on the cooling power w1 and the indoor space area S, it is obvious that the present invention can calculate the cooling speed v1 in other forms, for example, manufacturers often perform a lot of tests on products during the development stage of the products, and obtain a comparison table for determining the cooling speed v1 based on the standard number of matches of the air conditioner and the indoor space area S, and the cooling speed v1 can be directly obtained through the comparison table.
Example one
First, referring to fig. 1, a method for controlling an air conditioner in a conventional cooling operation will be described. Wherein, fig. 1 is a flow chart of a control method of an air conditioner under a refrigeration condition of the present invention.
As shown in fig. 1, in order to solve the problem that the conventional air conditioner cannot accurately judge the starting time under the refrigeration condition, so that the starting time is inaccurate and user experience is affected, the air conditioner of the present invention includes a compressor and an indoor fan, and the control method of the air conditioner under the refrigeration condition includes:
s100, acquiring the actual temperature T and the actual humidity RH in the room.
Can detect indoor actual humiture through the detection module that sets up in the air conditioner, if adopt temperature sensor and humidity transducer to detect indoor actual temperature and humidity respectively.
S200, calculating the temperature reduction from the actual temperature T to the habit temperature T based on the operation parameters of the air conditioner and the habit information of the usersTime t of1And dehumidification from actual humidity RH to customary humidity RHsTime t of2。
According to the operating parameters of the air conditioner and the user habit temperature TsHabitual humidity RHsAnd the actual temperature T and the actual humidity RH in the room to calculate the cooling time T1And a dehumidification time t2. Because the effects of temperature reduction and dehumidification are accompanied, namely, dehumidification is carried out during temperature reduction, and temperature reduction is carried out during dehumidification, so that t is reduced1And t2The time delta t is determined in advance, and then the air conditioner can be prepared for the subsequent determination of the time delta t for opening the air conditioner in advance.
S300, comparing t1And t2And determines a time Δ t required to turn on the air conditioner in advance based on the comparison result.
Comparison t1And t2Can determine whether the air conditioner needs to be controlled mainly by cooling or mainly by dehumidification, and calculates the temperature/humidity reduction/dehumidification according to the temperature/humidity reduction parametersIn the process, the temperature reduction and the dehumidification can be synchronously performed finally by correspondingly influencing the dehumidification/temperature reduction, and the time delta t for starting the air conditioner is further determined.
The control method of the air conditioner in the cooling mode according to the present invention will be described in detail with further reference to fig. 1 and 2. Wherein, fig. 2 is a logic diagram of the control method of the air conditioner under the refrigeration condition of the present invention.
In one possible embodiment, as shown in fig. 1 and 2, the operating parameter of the air conditioner includes a cooling speed v of the air conditioner1And a dehumidification speed v2The user habit information comprises habit temperature TsHabitual humidity RHs. Wherein the cooling speed v1Can be based on the refrigerating power w of the air conditioner1Calculated from the indoor space area S, the dehumidification speed v2Can be based on the dehumidification power w of the air conditioner2And the indoor space area S is calculated to obtain the refrigerating speed v1And a dehumidification rate v2The calculation method is more traditional and will not be described herein. Calculating to obtain the refrigerating speed v1And a dehumidification rate v2And then the air conditioner can be stored in the air conditioner so as to be taken and used at any time. The calculation method of the step of S200 further includes: based on actual temperature T and habitual temperature TsAnd a cooling speed v1Calculating the temperature drop from the actual temperature T to the conventional temperature TsTime t of1Based on actual humidity RH and customary humidity RHsAnd a dehumidification rate v2Calculating the humidity from actual humidity RH to customary humidity RHsTime t of2。
Through T, TsAnd v1To calculate t1In a more preferred calculation method, the following formula (1) and formula (2) can be adopted for calculation:
t1＝k1*(T-Ts)/v1 (1)
t2＝k2*(RH-RHs)/v2 (2)
in the formula (1), T-TsIs the indoor temperatureDifference, v1The ratio of the two is the required time for cooling, however, in practical application, T, T is usedsAnd v1The inaccuracy of (2) often needs a compensation value k in practical application1To let t1As close as possible to the actual value. Similarly, in the formula (2), RH-RHsIs the difference of indoor humidity, v2The ratio of the dehumidification rate to the dehumidification rate is the required time, k2Is a compensation value.
The setting mode has the advantages that: in this way, t extremely close to the actual value can be obtained1And t2Make subsequent bases on t1And t2The obtained delta t value is more accurate, and the user can obtain better use experience of the air conditioner.
As shown in fig. 2, in one possible implementation, the step of S300 further includes: when t is1＞t2+teWhen t is equal to t1When Δ t is equal to t1While controlling the compressor to a first preset frequency f1Operating and controlling the indoor fan to rotate at a first preset rotating speed r1And (5) operating. When t is1≤t2+teWhen Δ t is equal to t2When Δ t is equal to t2While controlling the compressor to have the second preset frequency f2Operating and controlling the indoor fan to rotate at a second preset rotating speed r2And (5) operating. Wherein, teIs a time compensation value, f1Can be the rated running frequency r of the compressor during refrigeration1Can be the rated running speed f of the indoor fan during refrigeration2Can be the rated operating frequency r of the compressor during dehumidification2The rated operation speed of the indoor fan during dehumidification can be adopted.
It should be noted that the power and wind speed required for air conditioning refrigeration and dehumidification are different, and refrigeration requires high wind speed to make heat exchange more efficient and quicker, and the temperature requirement for the refrigerant is not very low. In the dehumidification, the temperature of the refrigerant is required to be very low, and accordingly the wind speed is reduced to achieve sufficient contact with the indoor coil, and the lower the temperature is compared with the dew point temperature, the stronger the dehumidification capability is. However, it is undeniable that the dehumidification process is accompanied by refrigeration, the refrigeration process is accompanied by dehumidification, and dehumidification and temperature reduction control are selectively selected according to indoor temperature and humidity conditions.
The setting mode has the advantages that: due to the first predetermined frequency f during the cooling and dehumidifying process1And a first preset rotation speed r1And a second predetermined frequency f2And a second preset rotation speed r2Is different, this results if at f1And r1Is operated in the cooling time t1But the dehumidification time is not t2Accordingly, the cooling time t is correspondingly set1And a dehumidification time t2By a compensation value teSo that the two can be compared under the same compressor frequency and fan rotating speed. When in f2And r2When operating in the mode of (1), the same thing, t2Is a true value, but t1And not. When t is1＞t2+teIn this case, the cooling time is higher than the post-compensation dehumidification time, and therefore the air conditioner should still mainly perform cooling, where Δ t is t1Controlling the air conditioner at f1And r1When cooling is completed, dehumidification is also preferentially completed. Conversely, when t is1≤t2+teIn the case where the time for dehumidification after compensation is longer than the time for cooling, the air conditioner mainly performs dehumidification with priority, and Δ t is t2Controlling the air conditioner at f2And r2When dehumidification is completed, cooling is also preferentially completed.
In one possible embodiment, the control method further includes: every trAnd time, updating the user habit information. For example, the average value of the temperature and the average value of the humidity set when the user controls the air conditioner during the period are recalculated every week or month, and then stored as the new customary temperature and customary humidity.
The setting mode has the advantages that: the needs for indoor temperature and humidity are different throughout the year, for example, around 27 ℃ in summer, the user feels cool, but up to 21 ℃ in winter, the user feels warm without increasing the temperature, and similarly, the needs for humidity are different throughout the year. Therefore, as time changes, the requirements of the user on the temperature and the humidity also change continuously, so that the air conditioner is required to have the self-learning capability, the habit information of the user is updated regularly, and the requirements of the user in the current season are matched better.
In conclusion, the invention can accurately control the time delta t for starting the air conditioner in advance before the user goes home, thereby saving the electric energy consumption and ensuring that the indoor temperature and humidity reach the standard set by the user when the user arrives home. Based on actual temperature T and habitual temperature TsActual humidity RH and customary humidity RHsCompensation value k1Compensation value k2Cooling speed v1And a dehumidification rate v2To calculate t1And t2And according to t1、t2And a compensation value teFinally, the time delta t for starting the air conditioner in advance is determined, so that the time delta t is more accurate.
It should be noted that the above-mentioned 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, and those skilled in the art can modify the above-mentioned structure so that the present invention can be applied to more specific application scenarios without departing from the principle of the present invention.
For example, in an alternative embodiment, the operating parameter of the air conditioner may be a cooling speed v determined based on a standard power match and an indoor area S of the air conditioner1The comparison table of (1) can be counted by a manufacturer after a plurality of tests when the manufacturer leaves a factory, so that the refrigerating power w does not need to be obtained through calculation1And dehumidification power w2But directly inquires the refrigerating speed v through the table1And a dehumidification rate v2All without departing from the principle of the invention and therefore falling within the scope of protection of the invention.
For example, in another alternative embodiment, the parameter of the indoor space area S in the user habit information may be replaced by an indoor space volume, since the height of each floor is not constant, and especially for a place with a high indoor height such as a meeting place or a hall, the indoor space volume is used to calculate t1And t2Can be more precise without departing from the principle of the invention and therefore all that comes within the scope of protection of the invention.
For example, in another alternative embodiment, the calculation of t1 and t2 does not rely solely on t1＝k1*(T-Ts)/v1And t2＝k2*(RH-RHs)/v2Two equations are calculated if there is no k1And k2Can also obtain t1And t2Only some deviation from the actual value, therefore, these two equations are merely intended to express that the inventor is based on T, Ts、RH、RHs、k1And k2A calculation of (2) for t1And t2The calculation methods (A) and (B) are various and cannot be listed, but the calculation method (B) can be calculated based on the parameters t provided by the invention1And t2Without departing from the principles of the invention and, therefore, falling within the scope of the invention.
For example, in another alternative embodiment, when t1＞t2+teWhen Δ t is equal to t1At this time, the compressor is controlled to have a first predetermined frequency f1Operating and controlling the indoor fan to rotate at a first preset rotating speed r1In operation, although the design is simple in calculation, the dehumidification can be completed when the temperature reduction is completed, and the dehumidification and the cooling are basically synchronous. However, it does not completely synchronize cooling and dehumidification, and if it is desired to completely synchronize them, it is also possible to precisely adjust the frequency of the compressor and the fan speed so that t1＝t2+teHowever, the calculation difficulty and the control difficulty are increased correspondingly, and the frequency of the compressor and the rotating speed of the fan need to be controlled in real time or in a segmented mode. In the same way, when t1≤t2+teIt is a matter of course that t is satisfied in real time1＝t2+teI.e. the dehumidification and cooling can be done simultaneously, without departing from the principle of the present invention, and therefore all fall within the scope of protection of the present invention.
Although the foregoing embodiments describe the steps in the foregoing sequence, those skilled in the art will understand that, in order to achieve the effect of the present embodiment, different steps need not be executed in such a sequence, and may be executed simultaneously (in parallel) or in an inverted sequence, for example, the operation parameters of the air conditioner, the habit information of the user, the acquiring sequence of the actual temperature T and the actual humidity RH in the room may be exchanged without affecting the calculation, and similar simple changes are within the protection scope of the present invention.
In the first embodiment, how to determine the time Δ t for turning on the air conditioner in advance is mainly described, so that the user can keep a relatively comfortable and balanced temperature and humidity in the room after going home from work. However, when the air conditioning system is turned on, it is not described in the first embodiment.
In the prior art, a user usually sets a preset starting time, such as 6:00 pm, when the time Δ t for starting the air conditioner in advance is 30min, the time for starting the air conditioner in advance is determined, and if the time Δ t for starting the air conditioner in advance is 30min according to the preset starting time of 6:00 pm, the time for starting the air conditioner in advance is 5:30 pm.
However, the preset starting time of the user is not 6:00 every time, that is, the user is not 6:00 home every time, so that the situation that the user is started in advance, energy is wasted, the user is started after the user is delayed, and the user experience is poor may be caused. Moreover, if the time Δ t for starting the air conditioner in advance does not refer to an external environment, the adjustment cannot be completed at every time on average, and further misjudgment is made on the moment of starting in advance, which may also cause energy waste or poor user experience.
Then, how to accurately determine the preset starting time and how to ensure the time Δ t for turning on the air conditioner in advance, and how to ensure the accuracy of the starting time in advance through the two, will be described in detail in the second to fourth embodiments.
Example two
In order to solve the problem that the preset starting time and the time delta t for starting the air conditioner in advance are not accurate enough, the compensation for the preset starting time and the time delta t for starting the air conditioner in advance is added before the step S100 in the first embodiment of the invention.
Referring to fig. 3, in which fig. 3 is a flowchart illustrating a control method of an air conditioner under a cooling condition according to a second embodiment of the present invention.
As shown in fig. 3, in a preferred embodiment, the control method of the air conditioner further includes:
and S110, acquiring the preset starting time and the outdoor environment temperature of the air conditioner.
The preset starting time in this embodiment may be a starting time actively set by a user, or a starting time statistically obtained based on a historical starting time of the air conditioner. For example, the preset starting time may be a starting time set by a user through a remote controller, a mobile phone APP, or a starting time obtained by a controller of the air conditioner or a cloud server through statistics according to a historical actual starting time of the air conditioner, for example, an average value of historical actual starting times obtained through statistical calculation of the historical actual starting time of the air conditioner by using statistical methods, probability theory calculation, and other methods is used as the preset starting time of the air conditioner. The following explains the control method by taking the cloud server as an example to perform statistical calculation. The method includes the steps of acquiring an outdoor environment temperature of a position where the air conditioner is located while, before or after acquiring a preset starting time of the air conditioner, and acquiring the outdoor environment temperature through a temperature sensor and the like arranged on an outdoor unit.
And S111, correcting the preset starting-up time based on the time correction parameter.
The time correction parameter is used to represent a corresponding relationship between the preset startup time and the actual startup time, that is, a deviation between the preset startup time and the actual startup time, which is set or calculated by a user. After the preset starting time is set by a user or calculated by the air conditioner, the starting time is corrected based on the time correction parameter, and if the preset starting time is corrected by increasing or decreasing a time period on the basis of the determined preset starting time, the corrected preset starting time can be closer to the real starting time of the user. For example, if the preset power-on time is 18:00 and the time correction parameter is +10min, the corrected preset power-on time is 18:00+10min, which is 18: 10.
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 start-up instruction for the last time, if the air conditioner receives the start-up instruction in the same time period of the previous day or the same time period of the previous days, the current actual start-up time is recorded first, then the historical preset start-up time and the historical actual start-up time in the set days before (including this time) this time are counted, and the average value of the historical preset start-up time and the average value of the historical actual start-up 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 preset starting-up time, and storing the first difference value as a time correction parameter for correcting the preset starting-up time for the next time.
For example, the cloud server counts historical preset starting-up time and historical actual starting-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 preset starting-up time and a mean value of all historical actual starting-up time, if the mean value of the historical preset starting-up time is calculated to be 18:30 and the mean value of the historical actual starting-up time is calculated to be 18:40, then the first difference is equal to 18:40-18: 30-10 min, that is, the time correction parameter is 10min, that is, in the past 7 days, the actual starting-up time of the user is 10min later than the preset starting-up time on average. Therefore, when the preset starting-up time is estimated next time, the sum of the estimated preset starting-up time and the time correction parameter is calculated to serve as the corrected preset starting-up time, and therefore the estimation accuracy of the preset starting-up time is improved, energy waste is reduced, and 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 preset starting time on average, and therefore when the preset starting time is estimated next time, the estimation accuracy of the preset starting time can be improved by calculating the sum of the preset starting time and the time correction parameter, namely subtracting 10min from the preset starting time to serve as the corrected preset starting time.
And S112, turning on S100 to S300, and determining the time delta t for turning on the air conditioner in advance.
Steps S100 to S300 are the same as the first embodiment, and the time Δ t required to turn on the air conditioner in advance is first obtained to prepare for subsequent compensation and determination of the advance turning-on time.
And S113, compensating the time delta t for turning on the air conditioner in advance based on the outdoor environment temperature.
And compensating the time delta t for starting the air conditioner in advance based on the outdoor environment temperature, wherein if the outdoor environment temperature is determined, the cloud server calculates a compensation value of the time delta t for starting the air conditioner in advance, which is matched with the outdoor environment temperature, based on the outdoor environment temperature, and then combines the compensation value with the time delta t to obtain the compensated time delta t for starting the air conditioner in advance.
Preferably, the compensation value of the time Δ t for turning on the air conditioner in advance may be calculated based on a fitting formula between the outdoor ambient temperature and the compensation value of the time Δ t for turning on the air conditioner in advance. For example, a compensation value t for a time Δ t for turning on the air conditioner in advance is calculated using the following formula (1)k：
tk＝k×Tao+b(1)
In the formula (1), tkAnd a compensation value representing the time Deltat for turning on the air conditioner in advance, Tao is the outdoor ambient temperature, and k and b are constants which can be obtained based on experimental data fitting. For example, a plurality of comparison experiments are carried out on compensation values of different outdoor environment temperatures and the time Deltat for starting the air conditioner in advance, so as to establish the supplement of the time Deltat for starting the air conditioner in advanceLinear relationship of the compensation value and the outdoor environment temperature. For example, t at 25 ℃ in an outdoor environmentk0, outdoor environment at 30 ℃, tk5min, etc., based on these experimental data, a k and b are obtained, and then a compensation value t is directly obtained after the outdoor ambient temperature is obtained next timek。
Of course, the compensation value of the time Δ t for turning on the air conditioner in advance may be determined based on other relationships between the outdoor ambient temperature and the compensation value of the time Δ t for turning on the air conditioner in advance, such as the fixed corresponding relationship between the outdoor ambient temperature and the compensation value of the time Δ t for turning on the air conditioner in advance. If a comparison table of the outdoor environment temperature and the compensation value of the time delta t for starting the air conditioner in advance is determined based on an air conditioning test, the compensation value of the time delta t for starting the air conditioner in advance at different outdoor environment temperatures is determined by using the comparison table.
The setting mode has the advantages that: because different outdoor environment temperatures have great influence on the air conditioning capacity of the air conditioner, the time delta t for starting the air conditioner in advance after compensation is determined by utilizing a fitting formula or a corresponding relation between the outdoor environment temperatures and the compensation value of the time delta t for starting the air conditioner in advance, so that the accuracy of the time delta t for starting the air conditioner in advance can be ensured, and the energy is prevented from being excessively wasted.
And S114, determining the early starting time based on the compensated time delta t for starting the air conditioner in advance and the corrected preset starting time.
Calculating the early starting time of the air conditioner based on the corrected preset starting time and the time delta t for starting the air conditioner in advance after outdoor environment temperature compensation; after the preset on time is corrected, the turn-on time of the air conditioning mode can be determined based on the time Δ t for turning on the air conditioner in advance. For example, if the time Δ t for turning on the air conditioner in advance of the air conditioner is 5min, the time of turning on the air conditioner in advance is 18:05 when the corrected preset turning-on time is 18: 10.
According to the control method of the air conditioner, the preset starting time can be corrected based on the time correction parameter, and the accuracy of time estimation is improved. Specifically, the preset starting-up time is corrected based on the time correction parameter, and the control method can correct the preset starting-up time based on the starting-up habit of the user, so that the corrected preset starting-up time is closer to the real starting-up time of the user, the accurate and personalized treatment for a single user is realized, and the user experience is improved. In addition, the compensation value of the time delta t for starting the air conditioner in advance is determined based on the outdoor environment temperature, and different outdoor environment temperatures have great influence on the air conditioning capacity of the air conditioner, so the time delta t for starting the air conditioner in advance is compensated by utilizing the outdoor environment temperature, the compensated time delta t for starting the air conditioner in advance is obtained, the accuracy of the time delta t for starting the air conditioner in advance is further ensured, and the excessive waste of energy is avoided.
EXAMPLE III
In the third embodiment of the invention, on the basis of the second embodiment, the step of compensating the time delta t for starting the air conditioner in advance based on the outdoor environment temperature is removed, and the time delta t for starting the air conditioner in advance is directly used. Because, as long as properly choose compressor frequency and fan rotational speed, just can guarantee to accomplish the regulation in the time Δ t that the air conditioner was opened in advance to every turn can be fixed. Accordingly, however, the time Δ t for turning on the air conditioner in advance after compensation according to the second embodiment has a certain error, and thus the finally determined time Δ t for turning on the air conditioner in advance has a certain error, but the error is within an acceptable range.
Referring to fig. 4, in a specific embodiment, fig. 4 is a flowchart illustrating a control method of an air conditioner under a cooling condition according to a third embodiment of the present invention.
As shown in fig. 4, in one possible embodiment, the method for controlling an air conditioner further includes:
s120, acquiring a preset starting time of the air conditioner;
s121, correcting the preset starting-up time based on the time correction parameter;
s122, starting S100 to S300, and determining time delta t for starting the air conditioner in advance;
and S123, determining the early starting time based on the time delta t for starting the air conditioner in advance and the corrected preset starting time.
Example four
In the fourth embodiment of the invention, on the basis of the second embodiment, the step of correcting the preset starting-up time based on the time correction parameter is eliminated. Correspondingly, however, since the fourth embodiment lacks a step of correcting the preset boot-up time, there is a certain error with respect to the second embodiment, but the error is within an acceptable range.
Specific embodiments refer to fig. 5, wherein fig. 5 is a flowchart of a control method of an air conditioner under a cooling condition according to a fourth embodiment of the present invention.
As shown in fig. 5, in one possible embodiment, the method for controlling an air conditioner further includes:
s130, acquiring a preset starting time and an outdoor environment temperature of the air conditioner;
s131, starting S100 to S300, and determining time delta t for starting the air conditioner in advance;
s132, compensating the time delta t for starting the air conditioner in advance based on the outdoor environment temperature;
and S133, determining the early starting time based on the compensated time delta t for starting the air conditioner in advance and the preset starting time.
In the second to fourth embodiments, we all start the air conditioner in advance, and then optimize the time of the start in advance in various ways, but if the user has irregular life in a period of time, for example, the user frequently goes on a business trip, or if the time of returning home is unstable due to frequent overtime, it needs to be determined whether to start the step S100 to regulate the indoor air. In view of the above problem, a fifth embodiment of the present invention provides a determining method for determining whether to start the step S100.
EXAMPLE five
In order to solve the problem that the air conditioner cannot autonomously judge whether to adjust the indoor air when the life of a user is irregular, the step of predicting whether to start the air conditioner is added before the step of S100.
Fig. 6 and 7 show specific embodiments, where fig. 6 is a flowchart illustrating a control method of an air conditioner under a cooling condition according to a fifth embodiment of the present invention, and fig. 7 is a schematic diagram illustrating a scoring system according to the fifth embodiment of the present invention.
As shown in fig. 6, in a preferred embodiment, the method for controlling an air conditioner further includes:
and S141, when the predicted time point is reached, calculating the probability score of the air conditioner on at the moment of the air conditioner being started in advance today based on a pre-established scoring system.
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 starting at the next early starting moment. The advanced opening time is the same as in the above-described embodiments two to four, the predicted time point is a certain time point before the advanced opening time, the advanced opening time is 19:00, and the predicted time point may be 1 hour before 19:00, that is, 18: 00.
The cloud server calls a pre-established scoring system to calculate the probability score of the air conditioner being started in advance at 19:00, namely the probability of the air conditioner being started in advance 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 air conditioner at the next early starting moment, namely after 19:00 is input into the scoring system, the scoring system can calculate the probability of starting the air conditioner in advance at the time point based on the historical operation information and the historical prediction information of the air conditioner.
In a preferred embodiment, step S141 may further include: inputting the next early opening time into a pre-trained air conditioner opening probability model to obtain the historical opening probability of the air conditioner opening at the next early opening time; obtaining the recent starting probability based on the number of days for starting the air conditioner at the next advanced starting time within the set number of days; obtaining historical prediction accuracy of the next early opening moment based on historical prediction information; calculating the probability score of the air conditioner on the next early opening moment based on the historical opening probability, the recent opening probability and the historical prediction accuracy; the air conditioner starting probability model is used for representing the corresponding relation between the historical operation information and the historical starting probability. Specifically, as shown in fig. 7, in the present embodiment, after the early start 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 start frequency calculated based on the trained air conditioner start probability model; the second part is a recent opening probability obtained based on the number of times of opening within a set number of days at the early opening time; the third part is history prediction accuracy of the early opening time obtained based on history 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 air conditioner starting probability model may specifically be: and establishing a model by taking the historical air conditioner starting time in advance, the starting times corresponding to the air conditioner starting time and the total operation days of the air conditioner as characteristic data to obtain the corresponding relation between the historical air conditioner starting time in advance and the historical starting probability, and inputting the advanced starting time into the model so as to output the historical starting probability corresponding to the advanced 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, which is increased by 1 day, is increased by 20%, and when the number of 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 early opening time.
For example, after inputting the next early starting time of 19:00 into the scoring system, the probability model of starting the air conditioner calculates the historical starting probability at the starting time to be 80%; if the number of opening days in nearly 7 days is 4 days, the recent opening probability is 80 percent; the correct number of predictions at the early opening time of 19:00 is 7 times, the total number is 10 times, namely the prediction accuracy is 70%; from this, the three probabilities are multiplied by their weights, respectively, and summed, and the probability score P is 80% × 70+ 80% × 15+ 70% × 15 is 78.5.
And S142, when the probability score is larger than the set threshold and the early opening time is reached, the step S100 is carried out.
For example, on the premise of a full score of 100, the scoring system calculates the probability score of turning on the air conditioner in advance at 19:00 to be 80 minutes at 18:00 (namely, the probability of turning on the air conditioner in advance is 80%), which proves that a user is very likely to use the air conditioner after 19:00, and at the moment, when the moment of turning on in advance is reached, the cloud server issues an instruction of turning on the step S100, so that the air conditioner is turned on at 19:00 and starts to adjust the indoor temperature and humidity. For another example, the scoring system calculates that the probability score of turning on the air conditioner in advance is 50 points at 19:00, which proves that the user is most likely not to use the air conditioner after 19:00, and the cloud server controls the air conditioner not to turn on the step S100.
Further, 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 the operation times larger than the set times from a plurality of operation time periods; respectively calculating the average value of the starting time when all the air conditioners are started in advance in each selected operation time period as the advanced starting time of the operation time period; and calculating the difference value of each advanced opening time and a preset time period as a predicted time point of the advanced opening time. For example, the activity of the air conditioner may be defined as whether there is a startup behavior in the past few days (e.g., the past 3 days), when there is a startup record in the past few days, the activity of the air conditioner is high, otherwise, the activity is low. When the activity degree is low, the user is proved to have less times of using the air conditioner, the probability of opening the air conditioner is lower, and whether the air conditioner is opened or not is not predicted at the moment. When the activity of the air conditioner is high, it is proved that a user uses the air conditioner more frequently, 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 a set number of days (such as within the last 7 days) are counted, for example, the operation times of the air conditioner in a plurality of operation periods are counted by aggregating all startup moments according to 1 hour as one operation period, then a plurality of periods with the startup times within 7 days larger than 4 times are selected from the plurality of operation periods, then the average value of all startup moments within each period is respectively calculated to be used as the advanced startup moment of the operation period, and finally, the time point obtained by subtracting 1 hour from each advanced startup moment is used as a predicted time point, if a certain advanced startup moment is 19:00, then 18:00 is the predicted time point of the advanced startup moment.
Through the control mode, the control method can improve the intelligent degree and the user experience of the air conditioner. Specifically, when the predicted time point is reached, the probability score of the air conditioner for starting the air conditioner at the next early starting time is calculated based on the scoring system, the control method can reasonably predict the probability of the air conditioner for starting the air conditioner at the next early starting time based on historical information of the air conditioner used by a user, and therefore when the probability of starting the air conditioner is high and the air conditioner comes before the early starting time, the step S100 is controlled to be started, so that the indoor temperature and humidity are controlled to be balanced at the same time. 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.
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 apparent to those skilled in the art that the scope of the present invention is not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (10)
1. A control method of an air conditioner under a refrigeration working condition, the air conditioner comprises a compressor and an indoor fan, and the control method is characterized by comprising the following steps:
acquiring a preset starting time of the air conditioner;
correcting the preset starting-up time based on the time correction parameter;
acquiring the actual temperature T and the actual humidity RH in a room;
calculating the temperature reduction from the actual temperature T to the habit temperature T based on the operation parameters of the air conditioner and the habit information of the usersTime t of1And dehumidifying from the actual humidity RH to the customary humidity RHsTime t of2；
Comparing t1And t2And determining the time delta t for opening the air conditioner in advance based on the comparison result;
determining the early starting time based on the time delta T for starting the air conditioner in advance and the corrected preset starting time, and fully considering the indoor temperature T and the humidity RH and the habit temperature T set by the usersAnd the customary humidity RHsSo that the air conditioner can simultaneously control the temperature and the humidity within the time delta t, and the temperature and the humidity of the indoor space can reach the state expected by a user;
wherein, still be provided with before the step of "obtaining actual temperature T in the room, actual humidity RH" and carry out the step of predicting to opening the air conditioner, specifically include:
when the predicted time point is reached, calculating the probability score of the air conditioner starting at the moment of the air conditioner starting in advance today based on a pre-established scoring system; 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 air conditioner at the next early starting moment; the predicted time point is a certain time point before the starting time in advance;
and when the probability score is larger than a set threshold and the early opening time is reached, the step of acquiring the actual temperature T and the actual humidity RH in the room is carried out.
2. According toThe method for controlling an air conditioner under a cooling condition as recited in claim 1, wherein the operation parameter of the air conditioner includes a cooling speed v of the air conditioner1And a dehumidification rate v2The user habit information comprises the habit temperature TsAnd the customary humidity RHs；
Wherein the cooling speed v1Refrigeration power w based on the air conditioner1And the indoor space area S, the dehumidification speed v2Dehumidification power w based on the air conditioner2And an indoor space area S.
3. The method as claimed in claim 2, wherein the temperature decrease from the actual temperature T to the habit temperature T is calculated based on the operation parameters of the air conditioner and the habit information of the usersTime t of1And dehumidifying from the actual humidity RH to the customary humidity RHsTime t of2"further comprising the steps of:
based on the actual temperature T and the habit temperature TsAnd the cooling speed v1Calculating the temperature decrease from the actual temperature T to the habitual temperature TsTime t of1；
Based on the actual humidity RH and the habit humidity RHsAnd the dehumidification speed v2Calculating the humidity from actual humidity RH to customary humidity RHsTime t of2。
4. The method as claimed in claim 1, wherein the comparison t is performed by comparing t1And t2And determining a time Δ t "required to turn on the air conditioner in advance based on the comparison result further includes:
when t is1＞t2+teWhen t is equal to t1；
Wherein, teIs a time offset value.
5. The control method of the air conditioner under the refrigerating condition as claimed in claim 4, wherein the control method further comprises:
when t is equal to t1While controlling the compressor to a first preset frequency f1Operating and controlling the indoor fan to rotate at a first preset rotating speed r1And (5) operating.
6. The method as claimed in claim 1, wherein the comparison t is performed by comparing t1And t2And determining a time Δ t "required to turn on the air conditioner in advance based on the comparison result further includes:
when t is1≤t2+teWhen t is equal to t2；
Wherein, teIs a time offset value.
7. The control method of the air conditioner under the refrigerating condition as claimed in claim 6, further comprising:
when Δ t is equal to t2While controlling the compressor to a second preset frequency f2Operating and controlling the indoor fan to rotate at a second preset rotating speed r2And (5) operating.
8. The control method of the air conditioner under the refrigerating condition as claimed in claim 1, further comprising:
every trAnd updating the user habit information.
9. The method as claimed in claim 1, wherein the step of obtaining the preset starting time of the air conditioner further comprises:
acquiring a preset starting moment set by a user; or
Acquiring historical actual starting time of the air conditioner within set days;
and estimating the preset starting-up time based on the historical actual starting-up time.
10. The method for controlling the air conditioner under the refrigeration working condition as recited in claim 1, wherein the time correction parameter is obtained by:
acquiring historical preset starting-up time and historical actual starting-up time within set days;
calculating the average value of the historical preset starting-up time and the average value of the historical actual starting-up time;
calculating a first difference value between the average value of the historical actual starting-up time and the average value of the historical preset starting-up time;
determining the first difference as a time correction parameter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910492046.2A CN112050385B (en) | 2019-06-06 | 2019-06-06 | Control method of air conditioner under refrigeration working condition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910492046.2A CN112050385B (en) | 2019-06-06 | 2019-06-06 | Control method of air conditioner under refrigeration working condition |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112050385A CN112050385A (en) | 2020-12-08 |
| CN112050385B true CN112050385B (en) | 2022-07-19 |
Family
ID=73608993
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910492046.2A Active CN112050385B (en) | 2019-06-06 | 2019-06-06 | Control method of air conditioner under refrigeration working condition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112050385B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113483472B (en) * | 2021-07-06 | 2023-03-17 | 青岛海尔空调器有限总公司 | Control method and device for air conditioner and air conditioner |
| CN115235067B (en) * | 2022-07-25 | 2023-06-27 | Tcl空调器(中山)有限公司 | Air conditioner control method, device, equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1271180A (en) * | 1999-04-19 | 2000-10-25 | 日本电气株式会社 | Semiconductor device capacitor and its preparing method |
| CN102192569A (en) * | 2010-03-11 | 2011-09-21 | 珠海格力电器股份有限公司 | Air conditioner control method based on thermal comfort zone |
| JP2016114280A (en) * | 2014-12-12 | 2016-06-23 | オムロン株式会社 | Control device, control method, control system, program and recording medium |
| CN107576002A (en) * | 2017-08-17 | 2018-01-12 | 青岛海尔空调器有限总公司 | Air conditioner and its control method |
| CN109373519A (en) * | 2017-12-29 | 2019-02-22 | 广州Tcl智能家居科技有限公司 | A kind of method, system and the storage medium of intelligence reservation operation of air conditioner |
-
2019
- 2019-06-06 CN CN201910492046.2A patent/CN112050385B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1271180A (en) * | 1999-04-19 | 2000-10-25 | 日本电气株式会社 | Semiconductor device capacitor and its preparing method |
| CN102192569A (en) * | 2010-03-11 | 2011-09-21 | 珠海格力电器股份有限公司 | Air conditioner control method based on thermal comfort zone |
| JP2016114280A (en) * | 2014-12-12 | 2016-06-23 | オムロン株式会社 | Control device, control method, control system, program and recording medium |
| CN107576002A (en) * | 2017-08-17 | 2018-01-12 | 青岛海尔空调器有限总公司 | Air conditioner and its control method |
| CN109373519A (en) * | 2017-12-29 | 2019-02-22 | 广州Tcl智能家居科技有限公司 | A kind of method, system and the storage medium of intelligence reservation operation of air conditioner |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112050385A (en) | 2020-12-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112050391B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050446B (en) | Control method of fresh air conditioner | |
| CN112050385B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050437B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050438B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050440B (en) | Control method of fresh air conditioner | |
| CN112050387B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050386B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050441B (en) | Purification control method of fresh air conditioner | |
| CN112050384B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050393B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050394B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050396B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050383B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050389B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050392B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050443B (en) | Purification control method of fresh air conditioner | |
| CN112050447B (en) | Control method of fresh air conditioner | |
| CN112050439B (en) | Control method of fresh air conditioner | |
| CN112050395B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050388B (en) | Control method of air conditioner under refrigeration working condition | |
| CN112050442B (en) | Purification control method of fresh air conditioner | |
| CN112050445B (en) | Purification control method of fresh air conditioner | |
| CN112050390B (en) | Control method of fresh air conditioner | |
| CN112050444B (en) | Purification control method of fresh 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 | ||
| 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. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |