CN108981097A - Air-conditioning system and its method of adjustment and device can be needed - Google Patents
Air-conditioning system and its method of adjustment and device can be needed Download PDFInfo
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- CN108981097A CN108981097A CN201810629198.8A CN201810629198A CN108981097A CN 108981097 A CN108981097 A CN 108981097A CN 201810629198 A CN201810629198 A CN 201810629198A CN 108981097 A CN108981097 A CN 108981097A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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Abstract
The present invention proposes a kind of air-conditioning system and its can need method of adjustment and device, wherein method comprises steps of determining that supply air temperature prediction model；Air-conditioning system enter can need to determine mode after, acquire air-conditioning system supply air temperature and state parameter relevant to supply air temperature prediction model；Obtaining current preset can need to be worth, and value, state parameter relevant to supply air temperature prediction model and supply air temperature prediction model can be needed to calculate prediction supply air temperature according to current preset；Judge to predict whether the difference of supply air temperature and collected supply air temperature is less than preset threshold；If predicting that the difference of supply air temperature and collected supply air temperature is less than preset threshold, it is determined that the interior function of air-conditioning system need to can need to be worth for current preset.As a result, according to the difference of prediction supply air temperature and collected supply air temperature, internal function need to carry out self-adjusting, to promote the control reliability and user's comfort of air-conditioning system.
Description
Technical field
The present invention relates to air-conditioning technical fields more particularly to a kind of air-conditioning system, a kind of energy of air-conditioning system need to the side of adjustment
Method and a kind of energy of air-conditioning system need to adjust device.
Background technique
In the related technology, empty in old engineered, connection third party in machine and the interior too long of situation of machine runing time
Adjusting system usually can need control parameter to run according to the original of air-conditioning system setting.But present inventor has found related skill
There are the following problems for art, due to heat exchanger form of the machine under identical capacity in the dirty stifled or third party of blower aging, heat exchanger,
The parameters such as internal volume and fan delivery change, accordingly, it is possible to which causing interior machine actual motion that can need to calculate with interior machine can need
There is apparent difference, and then causes the original of air-conditioning system setting that control parameter can be needed to fail or mismatch with actual condition,
Cause air-conditioning system fluctuation of service or the long period is needed to can be only achieved steady-working state, simultaneously it is also possible to cause outlet air
Mouthful condensation, the problems such as refrigerating capacity is insufficient.
Summary of the invention
The present invention is directed to solve at least some of the technical problems in related technologies.
For this purpose, the first purpose of this invention be to propose a kind of air-conditioning system can need method of adjustment, it is internal to realize
Function need to carry out self-adjusting, promote the control reliability and user's comfort of air-conditioning system.
Second object of the present invention is to propose that a kind of energy of air-conditioning system need to adjust device.
Second object of the present invention is to propose a kind of air-conditioning system.
Fourth object of the present invention is to propose a kind of non-transitorycomputer readable storage medium.
In order to achieve the above object, a kind of method of adjustment that can need for air-conditioning system that first aspect present invention embodiment proposes includes
Following steps: supply air temperature prediction model is determined；After air-conditioning system enters and can need to determine mode, the air-conditioning system is acquired
Supply air temperature and state parameter relevant to the supply air temperature prediction model；Obtaining current preset can need to be worth, and according to
The current preset can need value, state parameter relevant to the supply air temperature prediction model and supply air temperature prediction mould
Type calculates prediction supply air temperature；Judge whether the difference of the prediction supply air temperature and collected supply air temperature is less than default threshold
Value；If the difference of the prediction supply air temperature and collected supply air temperature is less than the preset threshold, it is determined that the sky
The interior function of adjusting system need to can need to be worth for the current preset.
Air-conditioning system according to an embodiment of the present invention can need method of adjustment, first determining supply air temperature prediction model, and
After air-conditioning system enters and can need to determine mode, the supply air temperature of air-conditioning system and related to supply air temperature prediction model is acquired
State parameter, meanwhile, obtain current preset can need to be worth, and according to current preset can need value, with supply air temperature prediction model phase
The state parameter and supply air temperature prediction model of pass calculate prediction supply air temperature, and then judge prediction supply air temperature and collect
The difference of supply air temperature whether be less than preset threshold, if the difference of prediction supply air temperature and collected supply air temperature is less than
Preset threshold, it is determined that the interior function of air-conditioning system need to can need to be worth for current preset.As a result, according to prediction supply air temperature and acquisition
The difference of the supply air temperature arrived, internal function need to carry out self-adjusting, so that promote the control reliability of air-conditioning system makes with user
Use comfort.
In addition, the air-conditioning system proposed according to that above embodiment of the present invention to need method of adjustment that can also have following attached
The technical characteristic added:
According to one embodiment of present invention, if the difference of the prediction supply air temperature and collected supply air temperature is big
In or be equal to the preset threshold, then the current preset can need to be worth and be adjusted to obtain and adjusted default can need to be worth；
Wherein, get it is adjusted it is default can need to be worth after, also according to the default value, pre- with the supply air temperature of capable of needing adjusted
It surveys the relevant state parameter of model and the supply air temperature prediction model recalculates prediction supply air temperature, and judge to count again
Whether the prediction supply air temperature of calculation and the difference of collected supply air temperature are less than preset threshold.
According to one embodiment of present invention, the state parameter relevant to the supply air temperature prediction model includes cold
Matchmaker enters at least one of temperature, outlet refrigerant temperature, heat exchanger centre refrigerant temperature, return air temperature and wind file.
According to one embodiment of present invention, after the air-conditioning system need to determine mode into the energy, further includes:
The air-conditioning system is controlled with predeterminated frequency operation and the first preset time of stable operation；Alternatively, control the air-conditioning system with
Predeterminated frequency is run and runing time reaches the second preset time.
According to one embodiment of present invention, the determining supply air temperature prediction model comprises determining that m experimental data sample
This, wherein each experimental data sample includes supply air temperature data, the state parameter data of air-conditioning system and interior function
Need data；The m experimental data sample is normalized；After normalized, from the m experimental data sample
α % × m experimental data sample is extracted in this to construct training sample, and from remaining (1- α %) × m experimental data sample
Middle extraction β % × m experimental data sample is to construct test samples；Multiple regression analysis is carried out to the training sample, to obtain
Obtain multivariate regression models；The multivariate regression models is verified according to the test samples, and obtains the multiple regression
The error of model；When the error is less than default error threshold, determine that the supply air temperature prediction model is described polynary time
Return model；When the error is greater than or equal to the default error threshold, then on the basis of the m experimental data sample
Increase n experimental data sample.
In order to achieve the above objectives, a kind of energy for air-conditioning system that second aspect of the present invention embodiment proposes need to adjust device packet
It includes: model determining module, for determining supply air temperature prediction model；Acquisition module can need to determine for entering in air-conditioning system
After mode, acquire the air-conditioning system supply air temperature and state parameter relevant to the supply air temperature prediction model；
Computing module can need to be worth for obtaining current preset, and can need value according to the current preset, predict mould with the supply air temperature
The relevant state parameter of type and the supply air temperature prediction model calculate prediction supply air temperature；Judgment module, for judging
Whether the difference for stating prediction supply air temperature and collected supply air temperature is less than preset threshold；Determining module can be needed, in institute
When stating the difference of prediction supply air temperature and collected supply air temperature less than the preset threshold, the interior of the air-conditioning system is determined
Function need to can need to be worth for the current preset.
The energy of air-conditioning system according to an embodiment of the present invention need to adjust device, determine supply air temperature by model determining module
Prediction model, and after air-conditioning system enters and can need to determine mode, the supply air temperature of air-conditioning system is acquired by acquisition module
And state parameter relevant to supply air temperature prediction model, meanwhile, obtaining current preset by computing module can need to be worth, and root
Value, state parameter relevant to supply air temperature prediction model and supply air temperature prediction model can be needed to calculate prediction according to current preset
Supply air temperature, and then by the judgment module, judge to predict whether the difference of supply air temperature and collected supply air temperature is less than
Preset threshold, and when the difference for predicting supply air temperature and collected supply air temperature is less than preset threshold, it is determined by that can need
Module determines that the interior function of air-conditioning system need to can need to be worth for current preset.It is sent as a result, according to prediction supply air temperature with collected
The difference of air temperature, internal function need to carry out self-adjusting, so that the control reliability for promoting air-conditioning system and user's use are comfortably
Property.
In addition, the energy of the air-conditioning system proposed according to that above embodiment of the present invention need to adjust device can also have it is following attached
The technical characteristic added:
According to one embodiment of present invention, described determining module to be needed to be also used to, the prediction supply air temperature with adopt
When the difference of the supply air temperature collected is greater than or equal to the preset threshold, the current preset can need to be worth and be adjusted to obtain
Taking adjusted default can need to be worth；Wherein, the computing module get it is adjusted it is default can need to be worth after also according to tune
Default after whole can need value, state parameter relevant to the supply air temperature prediction model and the supply air temperature prediction model
Prediction supply air temperature is recalculated, the judgment module also judges the prediction supply air temperature recalculated and collected air-supply temperature
Whether the difference of degree is less than preset threshold.
According to one embodiment of present invention, the state parameter relevant to the supply air temperature prediction model includes cold
Matchmaker enters at least one of temperature, outlet refrigerant temperature, heat exchanger centre refrigerant temperature, return air temperature and wind file.
According to one embodiment of present invention, the energy of the air-conditioning system need to adjust device further include: processing module is used
In after the air-conditioning system need to determine mode into the energy, the air-conditioning system is controlled with predeterminated frequency operation and is stablized
Run the first preset time, or the control air-conditioning system with predeterminated frequency operation and runing time reach second it is default when
Between.
According to one embodiment of present invention, the model determining module includes: sample determination unit, for determining m
Experimental data sample, wherein each experimental data sample includes supply air temperature data, the state parameter data of air-conditioning system
And interior function needs data；Processing unit, for the m experimental data sample to be normalized；Extraction unit is used
In after normalized from the m experimental data sample extract α % × m experimental data sample to construct trained sample
This, and β % × m experimental data sample is extracted from remaining (1- α %) × m experimental data sample to construct inspection sample
This；Analytical unit, for carrying out multiple regression analysis to the training sample, to obtain multivariate regression models；Verification unit, root
The multivariate regression models is verified according to the test samples, and obtains the error of the multivariate regression models, Yi Ji
When the error is less than default error threshold, determine that the supply air temperature prediction model is the multivariate regression models, and in institute
When stating error more than or equal to the default error threshold, then increase n experiment on the basis of the m experimental data sample
Data sample.
In order to achieve the above objectives, third aspect present invention embodiment propose air-conditioning system include memory, processor and
Be stored in the air-conditioning system that can be run on the memory and on the processor can need the corresponding program of method of adjustment,
In, the air-conditioning system can need method of adjustment corresponding program to realize above-mentioned air-conditioning system when being executed by the processor
It can need method of adjustment.
Air-conditioning system according to an embodiment of the present invention, the air-conditioning system stored on processor run memory can need to adjust
The corresponding program of method can need to carry out certainly according to the difference of prediction supply air temperature and collected supply air temperature, internal function
Adjustment, to promote the control reliability and user's comfort of air-conditioning system.
In order to achieve the above objectives, fourth aspect present invention embodiment proposes a kind of non-transitory computer-readable storage medium
Matter is stored thereon with computer program, and what which realized above-mentioned air-conditioning system when being executed by processor can need method of adjustment.
The non-transitorycomputer readable storage medium proposed according to embodiments of the present invention, by execute store thereon with
Above-mentioned air-conditioning system can need the corresponding program of method of adjustment, can be according to prediction supply air temperature and collected supply air temperature
Difference, internal function need to carry out self-adjusting, to promote the control reliability and user's comfort of air-conditioning system.
The additional aspect of the present invention and advantage will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, in which:
Fig. 1 is the flow diagram that can need method of adjustment according to the air-conditioning system of the embodiment of the present invention；
Fig. 2 is the flow diagram that can need method of adjustment according to the air-conditioning system of a specific embodiment of the invention；
Fig. 3 is the flow diagram according to the determination supply air temperature prediction model of one embodiment of the invention；
Fig. 4 is the flow diagram according to the supply air temperature prediction model of a specific embodiment of the invention；
Fig. 5 is the schematic diagram of the supply air temperature and supply air temperature predicted value according to a specific embodiment of the invention；
Fig. 6 is the schematic diagram according to the calculating error of the supply air temperature prediction model of a specific embodiment of the invention；
Fig. 7 is the block diagram that system need to be adjusted according to the energy of the air-conditioning system of one embodiment of the invention；
Fig. 8 is the block diagram according to the model determining module of another embodiment of the present invention；
Fig. 9 is the block diagram according to the air-conditioning system of the embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described below in detail, the example of embodiment is shown in the accompanying drawings, wherein identical from beginning to end
Or similar label indicates same or similar element or element with the same or similar functions.It is retouched below with reference to attached drawing
The embodiment stated is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.
Below with reference to the accompanying drawings it describes the air-conditioning system of the embodiment of the present invention and its method of adjustment and device can be needed.
Fig. 1 is the flow diagram that can need method of adjustment according to the air-conditioning system of the embodiment of the present invention.
As shown in Figure 1, air-conditioning system can need method of adjustment the following steps are included:
S101 determines supply air temperature prediction model.
S102, air-conditioning system enter can need to determine mode after, acquire air-conditioning system supply air temperature and with air-supply
The relevant state parameter of temperature prediction model.
That is, if user selects to determine mode, acquiring air-conditioning system when user is before opening air-conditioning system
The supply air temperature of system and state parameter relevant to supply air temperature prediction model, if user is non-selected need to determine mode,
Then normally-open air-conditioning system.
Further, according to one embodiment of present invention, state parameter relevant to supply air temperature prediction model can wrap
It includes refrigerant and enters at least one of temperature, outlet refrigerant temperature, heat exchanger centre refrigerant temperature, return air temperature and wind file.
It is understood that refrigerant, which enters temperature, outlet refrigerant temperature, heat exchanger centre refrigerant temperature, refers respectively to room
The refrigerant of interior heat exchanger enter temperature, the outlet refrigerant temperature of indoor heat exchanger, indoor heat exchanger intermediate refrigerant temperature.
S103, obtaining current preset can need to be worth, and can need value, relevant to supply air temperature prediction model according to current preset
State parameter and supply air temperature prediction model calculate prediction supply air temperature.
That is, can need value, state parameter relevant to supply air temperature prediction model according to current preset and send
Air temperature prediction model calculates prediction supply air temperature, wherein current preset, which can need to be worth, can predict supply air temperature and be adopted according to calculating
The difference of the supply air temperature collected is adjusted correspondingly.
S104 judges to predict whether the difference of supply air temperature and collected supply air temperature is less than preset threshold.
For example, prediction supply air temperature be T, pre, collected supply air temperature be T, test, then supply air temperature with adopt
The difference of the supply air temperature collected is | T, test-T, pre |, wherein preset threshold ε can be run according to air-conditioning system actual conditions
Under permitted worst error demarcated accordingly.
S105, if the difference of prediction supply air temperature and collected supply air temperature is less than preset threshold, it is determined that air-conditioning
The interior function of system need to can need to be worth for current preset.
That is, if the difference of supply air temperature and collected supply air temperature | T, test-T, pre | it is less than default threshold
Value ε, i.e., | T, test-T, pre | < ε, it is determined that the interior function of air-conditioning system need to can need to be worth for current preset.
It should be noted that interior function need to refer to air-conditioning system to the fan-out capability demand of interior machine, when determining air-conditioning system
When the interior function of system need to can need to be worth for current preset, it is believed that the interior machine meets air-conditioning system to the fan-out capability demand of interior machine.
Further, according to one embodiment of present invention, if prediction supply air temperature and collected supply air temperature
Difference be greater than or equal to preset threshold, then current preset can need to be worth be adjusted with obtain it is adjusted it is default can need to be worth,
In, get it is adjusted it is default can need to be worth after, default can need value, and supply air temperature prediction model also according to adjusted
Relevant state parameter and supply air temperature prediction model recalculate prediction supply air temperature, and judge that the prediction recalculated is sent
Whether the difference of air temperature and collected supply air temperature is less than preset threshold.
That is, if prediction supply air temperature and collected supply air temperature difference | T, test-T, pre | be greater than or
When equal to preset threshold ε, i.e., | T, test-T, pre | >=ε then can need to be worth current preset and be adjusted, wherein also according to tune
Default after whole can need value, state parameter relevant to supply air temperature prediction model and supply air temperature prediction model to recalculate
Predict supply air temperature, and it is default to judge whether the difference of the prediction supply air temperature and collected supply air temperature that recalculate is less than
Threshold value, until the default satisfaction that can need to be worth adjusted predicts that the difference of supply air temperature and collected supply air temperature is less than default threshold
Value.
For example, first current preset can need to can be worth and be initialized as a1, and according to current preset can need to value a1, with air-supply
The relevant state parameter of temperature prediction model and supply air temperature prediction model calculate prediction supply air temperature, obtain prediction air-supply temperature
B1 is spent, and then judges to predict whether the difference of supply air temperature b1 and collected supply air temperature is less than preset threshold, if prediction
The difference of supply air temperature and collected supply air temperature is greater than preset threshold, then can need to be worth from a1 current preset and be adjusted to a2,
And again according to it is adjusted it is default can need to value a2, state parameter relevant to supply air temperature prediction model and supply air temperature it is pre-
It surveys model and recalculates prediction supply air temperature, retrieve prediction supply air temperature b2, and judge the prediction recalculated air-supply temperature
Whether the difference of degree b2 and collected supply air temperature is less than preset threshold, if prediction supply air temperature and collected air-supply temperature
The difference of degree is less than preset threshold, it is determined that the interior function of air-conditioning system need to can need to value a2 for current preset.
Further, according to one embodiment of present invention, it after air-conditioning system enters and can need to determine mode, also wraps
Include: control air-conditioning system is with predeterminated frequency operation and the first preset time of stable operation；Alternatively, control air-conditioning system is with default frequency
Rate is run and runing time reaches the second preset time.
It is understood that needing to control air-conditioning system after air-conditioning system enters and can need to determine mode with default frequency
Rate operation and the first preset time of stable operation；Alternatively, control air-conditioning system is with predeterminated frequency operation and runing time reaches the
Two preset times, it is ensured that air-conditioning system enters the normal operating condition of steady operation.
Specifically, as shown in Fig. 2, a specific embodiment according to the present invention, the energy of above-mentioned air-conditioning system need to the side of adjustment
Method is performed the steps of when air-conditioning system starting, executes step S201.
S201, confirmation signal can be needed by judging whether to receive, if so, thening follow the steps S202；If it is not, then executing knot
Beam.
S202 locks the predeterminated frequency of air-conditioning system.
S203 is controlled air-conditioning system and is transported with predeterminated frequency the first preset time of operation or control air-conditioning system with predeterminated frequency
Row and runing time the second preset time of arrival.
S204, acquire air-conditioning system supply air temperature and state parameter relevant to supply air temperature prediction model.
S205, initialization current preset can need to be worth.
S206 can need value, state parameter relevant to supply air temperature prediction model and supply air temperature according to current preset
Prediction model calculates prediction supply air temperature.
S207, judges whether the difference of prediction supply air temperature and collected supply air temperature is less than preset threshold, if so,
S208 is thened follow the steps, if not, thening follow the steps S209.
S208 determines that the interior function of air-conditioning system need to can need to be worth for current preset.
S209, adjustment current preset can need to be worth, and execute step S206.
Further, as shown in figure 3, according to one embodiment of present invention, above-mentioned determining supply air temperature prediction model packet
Include following steps:
S301 determines m experimental data sample, wherein each experimental data sample includes supply air temperature data, air-conditioning system
The state parameter data and interior function of system need data.
It should be noted that as shown in table 1, the system status parameters data of air-conditioning may include indoor heat exchanger refrigerant into
Enter temperature X1, the outlet refrigerant temperature X2 of indoor heat exchanger, the intermediate refrigerant temperature X3 of indoor heat exchanger, return air temperature X4, interior
Function need to value X5, windscreen X6, last moment indoor heat exchanger refrigerant enter the refrigerant of temperature X7, last moment indoor heat exchanger
Outlet temperature X8, the intermediate refrigerant temperature X9 of last moment indoor heat exchanger, last moment return air temperature X10, last moment are sent
Air temperature X11 (predicted value) etc..
Table 1
Wherein, the refrigerant of indoor heat exchanger enters outlet refrigerant temperature X2, the indoor heat exchanger of temperature X1, indoor heat exchanger
Intermediate refrigerant temperature X3, return air temperature X4 can be obtained by temperature sensor, interior function need to value X5, windscreen X6, last moment
The refrigerant of indoor heat exchanger enters temperature X7, the outlet refrigerant temperature X8 of last moment indoor heat exchanger, changes in last moment room
The intermediate refrigerant temperature X9 and last moment return air temperature X10 of hot device can be obtained by air conditioning system controller, and last moment is sent
Air temperature X11 (predicted value) can be calculated by supply air temperature prediction model and be obtained.
M experimental data sample is normalized in S302.
Specifically, it before m experimental data sample is normalized, needs to m experimental data sample
Number m0 and the increased number of samples n of needs carry out initialization process, wherein increased number of samples n is initialized as zero.
Further, when the sample number of experimental data meets the number m0 of m experimental data sample, to m0 experiment number
It is normalized according to sample, i.e. in m0 experimental data sample value unification to same linear module, convenient for training and verification.
S303 extracts α % × m experimental data sample from m experimental data sample after normalized to construct
Training sample, and β % × m experimental data sample is extracted from remaining (1- α %) × m experimental data sample to construct inspection
Test sample.
That is, by m0 experimental data sample is extracted as respectively α % × m0 training sample and m0 ×
The test samples that β is % carry out analytical calculation and verification to supply air temperature prediction model.
It should be noted that α and β can be arbitrarily arranged, wherein β cannot be too small, it is ensured that have sufficient amount of verification sample into
Row multiple regression analysis, so that it is guaranteed that the accuracy of supply air temperature prediction model verification.
S304 carries out multiple regression analysis to training sample, to obtain multivariate regression models.
It is understood that the temperature of air-conditioning system is set as dependent variable Y, the system status parameters data of air-conditioning and interior machine
Can need data be set as independent variable X1, X2 ..., XN, can get multiple regression equation Y=ε 0+ ε 1X1+ ε 2X2+ ... .+ ε N
XN, and the training sample that will proportionally extract α % × m0 calculated by similar matrix calculate independent variable X1, X2 ...,
The coefficient ε 1 of Xn, ε 2 ..., ε N.Wherein, N is greater than 1.
S305 verifies multivariate regression models according to test samples, and obtains the error of multivariate regression models.
That is, obtaining multivariate regression models by the way that m0 × β % test samples are substituting to multiple regression equation
Error theta, i.e., the difference of practical supply air temperature and supply air temperature predicted value.
S306 determines that supply air temperature prediction model is multivariate regression models when error is less than default error threshold.
That is, if determining that supply air temperature prediction model is multiple regression when error theta is less than default error threshold ξ
Model.
S307 then increases n on the basis of m experimental data sample when error is greater than or equal to default error threshold
A experimental data sample.
That is, if when error theta is greater than or equal to default error threshold ξ, experimental data sample size m=m0+
N, wherein n can carry out corresponding set according to practical calculating error theta with the difference of error threshold ξ.
For example, a specific embodiment according to the present invention, using supply air temperature Y as multiple regression equation because becoming
It is cold to be entered temperature X1, the outlet refrigerant temperature X2 of indoor heat exchanger, the centre of indoor heat exchanger by amount for the refrigerant of indoor heat exchanger
Matchmaker's temperature X3, return air temperature X4 and current preset can need to independent variable of the value X5 as multiple regression equation, that is, assume polynary time
Returning equation is Y=ε 0+ ε 1X1+ ε 2X2+ ε 3X3+ ε 4X4+ ε 5X5.
Specifically, experiment sample data value is as shown in table 2:
Table 2
Y=-3.8841172169081- can be acquired according to experiment sample data as shown in Table 2
3.8841172169081X1+0.543407068248543X2+0.373026318127632X3+0.20128670841994X4+
0.0103436792103981X5。
In the specific embodiment of the invention, as illustrated in figures 4-5, by by practical supply air temperature and supply air temperature predicted value into
Row relatively and draw it is linear, can obtain error theta be ± 3 DEG C.
Supply air temperature prediction model can be determined based on experimental data and multiple regression analysis as a result, by will be a large amount of
Experimental data carries out multiple regression analysis systematically, the accuracy of supply air temperature prediction model can be improved, and then significantly mention
The accuracy of high Air-condition system control, and reduce cost.
Specifically, as shown in fig. 6, a specific embodiment according to the present invention, above-mentioned determining supply air temperature prediction model
It performs the steps of
S401 determines prediction model, and screens independent variable.
S402 initializes basic number of samples m0 and increases number of samples n.
S403 acquires m=m0+n sample, and is normalized.
M=m0+n sample is divided into α % × m random sample and β % × m training sample by S404.
S405 carries out multiple regression analysis to α % × m random sample, obtains multiple regression equation.
S406 substitutes into multiple regression equation by β % × m training sample, judges whether multiple regression equation error theta is small
In error threshold ξ, if so, thening follow the steps S407；If not, thening follow the steps S408.
S407 determines that obtaining multiple regression equation is supply air temperature prediction model.
S408 increases number of samples n, and executes step S403.
To sum up, air-conditioning system according to an embodiment of the present invention can need method of adjustment, first determine supply air temperature prediction model,
And air-conditioning system enter can need to determine mode after, acquire air-conditioning system supply air temperature and with supply air temperature prediction model
Relevant state parameter, meanwhile, obtaining current preset can need to be worth, and can need value according to current preset, predict mould with supply air temperature
The relevant state parameter of type and supply air temperature prediction model calculate prediction supply air temperature, and then judge prediction supply air temperature and adopt
Whether the difference of the supply air temperature collected is less than preset threshold, if the difference of prediction supply air temperature and collected supply air temperature
Less than preset threshold, it is determined that the interior function of air-conditioning system need to can need to be worth for current preset.As a result, according to prediction supply air temperature with
The difference of collected supply air temperature, internal function need to carry out self-adjusting, to promote the control reliability of air-conditioning system and use
Family comfort.
Fig. 7 is that need to adjust device block diagram according to the energy of the air-conditioning system of the embodiment of the present invention.As shown in fig. 7, empty
The energy of adjusting system need to adjust device 100 and include: model determining module 1, acquisition module 2, computing module 3, judgment module 4 and can need
Determining module 5.
Wherein, model determining module 1 is for determining supply air temperature prediction model；Acquisition module 2 be used for air-conditioning system into
Enter after capable of need to determining mode, acquires the supply air temperature and state relevant to supply air temperature prediction model ginseng of air-conditioning system
Number；Computing module 3 can need to be worth for obtaining current preset, and according to current preset can need value, with supply air temperature prediction model phase
The state parameter and supply air temperature prediction model of pass calculate prediction supply air temperature；Judgment module 4 is for judging prediction air-supply temperature
Whether degree and the difference of collected supply air temperature are less than preset threshold；Can need determining module 5 for prediction supply air temperature with
When the difference of collected supply air temperature is less than preset threshold, determine that the interior function of air-conditioning system need to can need to be worth for current preset.
Specifically, as shown in figure 8, according to one embodiment of present invention, model determining module 1 includes: that sample determines list
Member 11, processing unit 12, extraction unit 13, analytical unit 14 and verification unit 15.
Wherein, sample determination unit 11 is for determining m experimental data sample, wherein each experimental data sample includes
Supply air temperature data, the state parameter data of air-conditioning system and interior function need data；Processing unit 12 is used for m experiment number
It is normalized according to sample；Extraction unit 13 be used for after normalized from m experimental data sample extraction α % ×
M experimental data sample extracts β % × m to construct training sample from remaining (1- α %) × m experimental data sample
A experimental data sample is to construct test samples；Analytical unit 14 is used to carry out multiple regression analysis to training sample, to obtain
Multivariate regression models；Verification unit 15 verifies multivariate regression models according to test samples, and obtains multivariate regression models
Error, and when error is less than default error threshold, determine that supply air temperature prediction model is multivariate regression models, and accidentally
When difference is greater than or equal to default error threshold, then increase n experimental data sample on the basis of m experimental data sample.
For example, it is assumed that prediction supply air temperature is T, pre, and collected supply air temperature is T, test, then supply air temperature
Difference with collected supply air temperature is | T, test-T, pre |, wherein preset threshold ε can be according to air-conditioning system actual conditions
Permitted worst error is demarcated accordingly under operation.
Further, according to one embodiment of present invention, determining module 5 can be needed to be also used to predicting supply air temperature and adopting
When the difference of the supply air temperature collected is greater than or equal to preset threshold, current preset can need to be worth after being adjusted to obtain adjustment
Default can need to be worth, wherein computing module 3 get it is adjusted it is default can need to be worth after also according to default energy adjusted
Value, state parameter relevant to supply air temperature prediction model and supply air temperature prediction model is needed to recalculate prediction air-supply temperature
Degree, judgment module also judge whether the prediction supply air temperature recalculated and the difference of collected supply air temperature are less than default threshold
Value.
That is, if prediction supply air temperature and collected supply air temperature difference | T, test-T, pre | be greater than or
When equal to preset threshold ε, i.e., | T, test-T, pre | >=ε can then need determining module 5 that can need to also be worth to current preset and adjust
It is whole, wherein computing module 3 also according to it is adjusted it is default can need value, state parameter relevant to supply air temperature prediction model with
And supply air temperature prediction model recalculates prediction supply air temperature, and judge the prediction supply air temperature recalculated with it is collected
Whether the difference of supply air temperature is less than preset threshold, until the default satisfaction that can need to be worth adjusted is predicted supply air temperature and collected
Supply air temperature difference be less than preset threshold, can need determining module 5 determine air-conditioning system interior function need to be current preset
It can need to be worth.
It should be noted that interior function need to refer to demand of the user to the fan-out capability of machine in air-conditioning system, work as determination
When the interior function of air-conditioning system need to can need to be worth for current preset, it is believed that the supply air temperature of the air-conditioning system meets user and presets
It can need to be worth required temperature.
Specifically, state parameter relevant to supply air temperature prediction model include refrigerant enter temperature, outlet refrigerant temperature,
At least one of refrigerant temperature, return air temperature and wind file among heat exchanger.
It is understood that refrigerant, which enters temperature, outlet refrigerant temperature, heat exchanger centre refrigerant temperature, refers respectively to room
The refrigerant of interior heat exchanger enter temperature, the outlet refrigerant temperature of indoor heat exchanger, indoor heat exchanger intermediate refrigerant temperature.
Further, according to one embodiment of present invention, the energy of air-conditioning system need to adjust device 100 further include: processing
Module, processing module be used for air-conditioning system enter can need to determine mode after, control air-conditioning system with predeterminated frequency operation and
The first preset time of stable operation, or control air-conditioning system with predeterminated frequency operation and runing time reach second it is default when
Between.
It is understood that the different running frequency of air-conditioning system has corresponding interior function to need, therefore in air-conditioning system
System needs to control air-conditioning system by processing module 6 into after can need to determine mode with predeterminated frequency operation and stable operation
First preset time；Alternatively, control air-conditioning system is with predeterminated frequency operation and runing time reaches the second preset time, it is ensured that empty
Adjusting system enters the normal operating condition of steady operation.
To sum up, the energy of air-conditioning system according to an embodiment of the present invention need to adjust device, be sent by the determination of model determining module
Air temperature prediction model, and after air-conditioning system enters and can need to determine mode, sending for air-conditioning system is acquired by acquisition module
Air temperature and state parameter relevant to supply air temperature prediction model, meanwhile, obtaining current preset by computing module can need
Value, and value, state parameter relevant to supply air temperature prediction model and supply air temperature prediction model can be needed according to current preset
Prediction supply air temperature is calculated, and then by the judgment module, judges the difference for predicting supply air temperature and collected supply air temperature
Whether it is less than preset threshold, and when the difference for predicting supply air temperature and collected supply air temperature is less than preset threshold, passes through
Determining module can be needed to determine that the interior function of air-conditioning system need to can need to be worth for current preset.It supply air temperature and is adopted according to prediction as a result,
The difference of the supply air temperature collected, internal function need to carry out self-adjusting, to promote control reliability and the user of air-conditioning system
Comfort.
Fig. 9 is the block diagram according to the air-conditioning system of the embodiment of the present invention.
As shown in figure 9, air-conditioning system 1000 includes memory 101, processor 102 and is stored on memory 101 and can
The computer program run on the processor 102 when processor 101 executes program, realizes that above-mentioned air-conditioning system can need to adjust
Adjusting method.
The air-conditioning system that the embodiment of the present invention proposes, by the air-conditioning system that is stored on processor run memory can need
The corresponding program of method of adjustment, can need to be into according to the difference of prediction supply air temperature and collected supply air temperature, internal function
Row self-adjusting, to promote the control reliability and user's comfort of air-conditioning system.
Further, the embodiment of the present invention also proposed a kind of non-transitorycomputer readable storage medium, store thereon
There is computer program, what which realized above-mentioned air-conditioning system when being executed by processor can need method of adjustment.
The non-transitorycomputer readable storage medium that the embodiment of the present invention proposes is stored thereon with by processor execution
Computer program, that realizes above-mentioned air-conditioning system can need method of adjustment, can be according to prediction supply air temperature and collected air-supply
The difference of temperature, internal function need to carry out self-adjusting, to promote the control reliability and user's comfort of air-conditioning system.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It can be combined in any suitable manner in one or more embodiment or examples.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples
It closes and combines.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include at least one this feature.In the description of the present invention, the meaning of " plurality " is at least two, such as two, three
It is a etc., unless otherwise specifically defined.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing custom logic function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, to execute function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system, including the system of processor or other can be held from instruction
The instruction fetch of row system, device or equipment and the system executed instruction) it uses, or combine these instruction execution systems, device or set
It is standby and use.For the purpose of this specification, " computer-readable medium ", which can be, any may include, stores, communicates, propagates or pass
Defeated program is for instruction execution system, device or equipment or the dress used in conjunction with these instruction execution systems, device or equipment
It sets.The more specific example (non-exhaustive list) of computer-readable medium include the following: there is the electricity of one or more wirings
Interconnecting piece (electronic device), portable computer diskette box (magnetic device), random access memory (RAM), read-only memory
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable optic disk is read-only deposits
Reservoir (CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other are suitable
Medium, because can then be edited, be interpreted or when necessary with it for example by carrying out optical scanner to paper or other media
His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.Such as, if realized with hardware in another embodiment, following skill well known in the art can be used
Any one of art or their combination are realized: have for data-signal is realized the logic gates of logic function from
Logic circuit is dissipated, the specific integrated circuit with suitable combinational logic gate circuit, programmable gate array (PGA), scene can compile
Journey gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..Although having been shown and retouching above
The embodiment of the present invention is stated, it is to be understood that above-described embodiment is exemplary, and should not be understood as to limit of the invention
System, those skilled in the art can be changed above-described embodiment, modify, replace and become within the scope of the invention
Type.
Claims (11)
1. a kind of air-conditioning system can need method of adjustment, which comprises the following steps:
Determine supply air temperature prediction model；
After air-conditioning system enters and can need to determine mode, the supply air temperature of the air-conditioning system and warm with the air-supply is acquired
Spend the relevant state parameter of prediction model；
Obtaining current preset can need to be worth, and can need value, relevant to the supply air temperature prediction model according to the current preset
State parameter and the supply air temperature prediction model calculate prediction supply air temperature；
Judge whether the difference of the prediction supply air temperature and collected supply air temperature is less than preset threshold；
If the difference of the prediction supply air temperature and collected supply air temperature is less than the preset threshold, it is determined that the sky
The interior function of adjusting system need to can need to be worth for the current preset.
2. air-conditioning system according to claim 1 can need method of adjustment, which is characterized in that
If the difference of the prediction supply air temperature and collected supply air temperature is greater than or equal to the preset threshold, to institute
It states current preset and can need to be worth and be adjusted to obtain and adjusted default can need to be worth；
Wherein, get it is adjusted it is default can need to be worth after, also according to the default value, warm with the air-supply of capable of needing adjusted
The degree relevant state parameter of prediction model and the supply air temperature prediction model recalculate prediction supply air temperature, and judge weight
Whether the difference of the prediction supply air temperature and collected supply air temperature that newly calculate is less than preset threshold.
3. air-conditioning system according to claim 1 can need method of adjustment, which is characterized in that the described and supply air temperature
The relevant state parameter of prediction model includes that refrigerant enters temperature, outlet refrigerant temperature, heat exchanger centre refrigerant temperature, return air temperature
At least one of degree and wind file.
4. air-conditioning system according to claim 1 can need method of adjustment, which is characterized in that enter in the air-conditioning system
The energy need to determine after mode, further includes:
The air-conditioning system is controlled with predeterminated frequency operation and the first preset time of stable operation；
Alternatively, controlling, the air-conditioning system is run with predeterminated frequency and runing time reaches the second preset time.
5. a kind of energy of air-conditioning system need to adjust device, which is characterized in that
Model determining module, for determining supply air temperature prediction model；
Acquisition module, for air-conditioning system enter can need to determine mode after, acquire the supply air temperature of the air-conditioning system with
And state parameter relevant to the supply air temperature prediction model；
Computing module can need to be worth for obtaining current preset, and can need value, pre- with the supply air temperature according to the current preset
It surveys the relevant state parameter of model and the supply air temperature prediction model calculates prediction supply air temperature；
Judgment module, for judging whether the difference of the prediction supply air temperature and collected supply air temperature is less than default threshold
Value；
Determining module can be needed, is less than the default threshold for the difference in the prediction supply air temperature and collected supply air temperature
When value, determine that the interior function of the air-conditioning system need to can need to be worth for the current preset.
6. the energy of air-conditioning system according to claim 5 need to adjust device, which is characterized in that
It is described determining module to be needed to be also used to, it is greater than or waits in the difference of the prediction supply air temperature and collected supply air temperature
When the preset threshold, the current preset can need to be worth and be adjusted to obtain and adjusted default can need to be worth；
Wherein, the computing module get it is adjusted it is default can need to be worth after also according to it is adjusted it is default can need value,
State parameter relevant to the supply air temperature prediction model and the supply air temperature prediction model recalculate prediction air-supply
Temperature, the judgment module also judge whether the prediction supply air temperature recalculated and the difference of collected supply air temperature are less than
Preset threshold.
7. the energy of air-conditioning system according to claim 5 need to adjust device, which is characterized in that the described and supply air temperature
The relevant state parameter of prediction model includes that refrigerant enters temperature, outlet refrigerant temperature, heat exchanger centre refrigerant temperature, return air temperature
At least one of degree and wind file.
8. the energy of air-conditioning system according to claim 5 need to adjust device, which is characterized in that further include:
Processing module, for controlling the air-conditioning system with pre- after the air-conditioning system need to determine mode into the energy
If frequency operation and the first preset time of stable operation, or the control air-conditioning system is with predeterminated frequency operation and runing time
Reach the second preset time.
9. the energy of air-conditioning system according to claim 5 need to adjust device, which is characterized in that the model determining module packet
It includes:
Sample determination unit, for determining m experimental data sample, wherein each experimental data sample includes air-supply temperature
Degree evidence, the state parameter data of air-conditioning system and interior function need data；
Processing unit, for the m experimental data sample to be normalized；
Extraction unit, for extracting α % × m experimental data sample from the m experimental data sample after normalized
This extracts β % × m experimental data sample to construct training sample from remaining (1- α %) × m experimental data sample
To construct test samples；
Analytical unit, for carrying out multiple regression analysis to the training sample, to obtain multivariate regression models；
Verification unit verifies the multivariate regression models according to the test samples, and obtains the multiple regression mould
The error of type, and when the error is less than default error threshold, determine that the supply air temperature prediction model is described polynary
Regression model, and when the error is greater than or equal to the default error threshold, then in the base of the m experimental data sample
Increase n experimental data sample on plinth.
10. a kind of air-conditioning system, which is characterized in that on a memory and can be in processor including memory, processor and storage
The computer program of upper operation when the processor executes described program, realizes the air-conditioning as described in any in claim 1-4
System can need method of adjustment.
11. a kind of non-transitorycomputer readable storage medium, which is characterized in that be stored thereon with computer program, the program
That the air-conditioning system as described in any in claim 1-4 is realized when being executed by processor can need method of adjustment.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111144543A (en) * | 2019-12-30 | 2020-05-12 | 中国移动通信集团内蒙古有限公司 | Data center air conditioner tail end temperature control method, device and medium |
| CN112052997A (en) * | 2020-09-07 | 2020-12-08 | 西安建筑科技大学 | Event trigger prediction control method for variable air volume air conditioning system |
| CN112487353A (en) * | 2020-11-30 | 2021-03-12 | 广东美的制冷设备有限公司 | Data processing method and device, dehumidifier and storage medium |
| CN112628970A (en) * | 2020-12-25 | 2021-04-09 | 珠海格力电器股份有限公司 | Control method and control device of air conditioner and air conditioning system |
| CN112728739A (en) * | 2020-12-28 | 2021-04-30 | 博锐尚格科技股份有限公司 | Method and device for determining set value of air supply temperature of air conditioning box based on algorithm prediction |
| CN113254876A (en) * | 2021-04-28 | 2021-08-13 | 智马达汽车有限公司 | Air conditioner energy consumption data determination method, device, equipment and storage medium |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07110165A (en) * | 1993-10-15 | 1995-04-25 | Hitachi Ltd | Air conditioner |
| CN105650811A (en) * | 2016-01-04 | 2016-06-08 | 广东美的暖通设备有限公司 | Method and device for controlling indoor unit of air conditioner |
| CN106354977A (en) * | 2016-09-29 | 2017-01-25 | 南京工业大学 | Method for analyzing indoor thermal environment by utilizing computational fluid dynamics (CFD) model |
| JP2017101862A (en) * | 2015-11-30 | 2017-06-08 | 三機工業株式会社 | Heat source control system and control method |
| CN106949596A (en) * | 2017-03-13 | 2017-07-14 | 广东美的暖通设备有限公司 | Air-conditioner and its modification method can be needed |
| CN107894067A (en) * | 2017-11-01 | 2018-04-10 | 广东美的暖通设备有限公司 | The control method of new blower fan and new blower fan |
-
2018
- 2018-06-19 CN CN201810629198.8A patent/CN108981097B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07110165A (en) * | 1993-10-15 | 1995-04-25 | Hitachi Ltd | Air conditioner |
| JP2017101862A (en) * | 2015-11-30 | 2017-06-08 | 三機工業株式会社 | Heat source control system and control method |
| CN105650811A (en) * | 2016-01-04 | 2016-06-08 | 广东美的暖通设备有限公司 | Method and device for controlling indoor unit of air conditioner |
| CN106354977A (en) * | 2016-09-29 | 2017-01-25 | 南京工业大学 | Method for analyzing indoor thermal environment by utilizing computational fluid dynamics (CFD) model |
| CN106949596A (en) * | 2017-03-13 | 2017-07-14 | 广东美的暖通设备有限公司 | Air-conditioner and its modification method can be needed |
| CN107894067A (en) * | 2017-11-01 | 2018-04-10 | 广东美的暖通设备有限公司 | The control method of new blower fan and new blower fan |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111144543A (en) * | 2019-12-30 | 2020-05-12 | 中国移动通信集团内蒙古有限公司 | Data center air conditioner tail end temperature control method, device and medium |
| CN112052997A (en) * | 2020-09-07 | 2020-12-08 | 西安建筑科技大学 | Event trigger prediction control method for variable air volume air conditioning system |
| CN112052997B (en) * | 2020-09-07 | 2021-09-03 | 西安建筑科技大学 | Event trigger prediction control method for variable air volume air conditioning system |
| CN112487353A (en) * | 2020-11-30 | 2021-03-12 | 广东美的制冷设备有限公司 | Data processing method and device, dehumidifier and storage medium |
| CN112628970A (en) * | 2020-12-25 | 2021-04-09 | 珠海格力电器股份有限公司 | Control method and control device of air conditioner and air conditioning system |
| CN112728739A (en) * | 2020-12-28 | 2021-04-30 | 博锐尚格科技股份有限公司 | Method and device for determining set value of air supply temperature of air conditioning box based on algorithm prediction |
| CN113254876A (en) * | 2021-04-28 | 2021-08-13 | 智马达汽车有限公司 | Air conditioner energy consumption data determination method, device, equipment and storage medium |
| CN113254876B (en) * | 2021-04-28 | 2024-05-14 | 浙江智马达智能科技有限公司 | Air conditioner energy consumption data determining method, device, equipment and storage medium |
| CN115031363A (en) * | 2022-05-27 | 2022-09-09 | 约克广州空调冷冻设备有限公司 | Method and device for predicting performance of air conditioner |
| CN115031363B (en) * | 2022-05-27 | 2023-11-28 | 约克广州空调冷冻设备有限公司 | Method and device for predicting air conditioner performance |
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