CN109140678B - Regression analysis method for air conditioning data and refrigerant parameters of variable frequency air conditioning system - Google Patents

Regression analysis method for air conditioning data and refrigerant parameters of variable frequency air conditioning system Download PDF

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CN109140678B
CN109140678B CN201810988059.4A CN201810988059A CN109140678B CN 109140678 B CN109140678 B CN 109140678B CN 201810988059 A CN201810988059 A CN 201810988059A CN 109140678 B CN109140678 B CN 109140678B
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CN109140678A (en
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李磊鑫
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Sichuan Changhong Air Conditioner Co Ltd
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • 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
    • F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • F24F11/83—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers
    • 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

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Abstract

The invention relates to the field of variable frequency air conditioning systems, aims to solve the problem of long test period of air conditioning data of the existing variable frequency air conditioning system, and provides a regression analysis method of air conditioning data and refrigerant parameters of the variable frequency air conditioning system.

Description

Regression analysis method for air conditioning data and refrigerant parameters of variable frequency air conditioning system
Technical Field
The invention relates to the field of variable frequency air conditioning systems, in particular to an analysis method for air conditioning data and refrigerant parameters of a variable frequency air conditioning system.
Background
In the design and development stage of the variable frequency air conditioning system, the air conditioning data of the air conditioning system needs to be tested in a relevant way under different environmental temperatures and operating frequencies of the variable frequency compressor, wherein the pressure and temperature tests of an air suction port and an air exhaust port of the compressor are one of the key experiments in the design process of the air conditioning system. The pressure and temperature data obtained by testing can not only provide basic parameters for theoretically calculating the capacity of the air conditioning system, provide input for CFD simulation analysis, but also determine the parameters of the refrigerant in the simulation process and the like. In the prior art, the test method generally adopted is as follows: the pressure and temperature data corresponding to different environmental temperatures and different inverter compressor operating frequencies are respectively tested through the sensor, because the pressure and temperature data corresponding to a plurality of different environmental temperature values and a plurality of different inverter compressor operating frequency values need to be tested respectively, the test period is long, in addition, the refrigerant parameters corresponding to different environmental temperatures and different inverter compressor operating frequencies are generally obtained by inquiring a refrigerant parameter table, because the data needing to be tested are more, the process of determining the refrigerant parameters corresponding to the environmental temperatures and the inverter compressor operating frequencies in a table look-up mode is more complicated.
Disclosure of Invention
The invention aims to solve the problem of long test period of air conditioning data of the existing variable frequency air conditioning system, and provides a regression analysis method for the air conditioning data and the refrigerant parameters of the variable frequency air conditioning system.
The technical scheme adopted by the invention for solving the technical problems is as follows: the regression analysis method of the air conditioning data of the variable frequency air conditioning system comprises the following steps:
s01, testing at least one ambient temperature value and air conditioner data corresponding to at least one variable frequency compressor operation frequency value to obtain an actual measured value of the air conditioner data;
s02, establishing a preliminary mathematical model of air conditioner data about the ambient temperature and the operating frequency of the variable frequency compressor;
s03, calculating undetermined coefficients in a preliminary mathematical model according to the measured values of the air conditioner data and a least square method, and determining a mathematical model of the air conditioner data about the ambient temperature and the operating frequency of the variable frequency compressor;
and S04, calculating air conditioner data corresponding to the rest to-be-measured environment temperature and the running frequency of the variable frequency compressor according to the mathematical model.
In order to improve the calculation accuracy, the step of testing the air conditioner data corresponding to the at least one ambient temperature value and the at least one inverter compressor operation frequency value is as follows: and respectively testing air conditioner data corresponding to three different environment temperature values and five different variable frequency compressor operation frequency values.
In order to improve the calculation accuracy, the step S03 further includes:
s031, according to the mathematical model, calculating a fitting value of the air-conditioning data corresponding to the measured value of the air-conditioning data;
s032, calculating a mean error between a fitting value and an actually measured value of air conditioner data;
s033, if the mean errors are all within a first preset range, determining the mathematical model, otherwise, entering step S02.
To further improve the calculation accuracy, the first preset range is 5%.
Basic parameters are provided for theoretical calculation of air conditioning system capacity, and the air conditioning data comprises exhaust pressure, exhaust temperature, suction pressure and suction temperature.
In order to solve the problem that the existing method for determining the refrigerant parameters is complicated, the invention also provides a regression analysis method for the refrigerant parameters of the variable frequency air conditioning system, which comprises the regression analysis method for the air conditioning data of the variable frequency air conditioning system and further comprises the following steps:
s11, inquiring refrigerant parameters corresponding to at least one group of air conditioner data according to a refrigerant parameter table to obtain reference values of the refrigerant parameters;
the group of air conditioning data is air conditioning data corresponding to an exhaust pressure value, an exhaust temperature value, an intake pressure value and an intake temperature value;
s12, establishing a preliminary function relation of the refrigerant parameters with respect to the air conditioner data;
s13, calculating undetermined coefficients in the preliminary function relation according to the reference values of the refrigerant parameters and a least square method, and determining the function relation of the refrigerant parameters relative to air conditioner data;
and S14, calculating the refrigerant parameters corresponding to the air conditioner data according to the functional relation.
In order to improve the calculation accuracy, the querying the refrigerant parameters corresponding to at least one group of air conditioner data according to the refrigerant parameter table means that: and inquiring refrigerant parameters corresponding to two hundred groups of air conditioner data according to the refrigerant parameter table.
In order to improve the calculation accuracy, the step S13 further includes:
s131, calculating to obtain a fitting value of a refrigerant parameter corresponding to air conditioner data according to the functional relation;
s132, calculating a mean error between the fitting value and the reference value of the refrigerant parameter;
s133, if the mean value errors are all in a second preset range, determining a functional relation, otherwise, entering the step S12.
In order to improve the calculation accuracy, the second preset range is 1%.
To more visually display the refrigerant state, the refrigerant parameters include density and gas viscosity coefficient.
The invention has the beneficial effects that: according to the regression analysis method of the air conditioning data of the variable frequency air conditioning system, only a small amount of air conditioning data corresponding to the environment temperature and the operation frequency of the variable frequency compressor are tested, and a mathematical model of the air conditioning data about the environment temperature and the operation frequency of the variable frequency compressor is established, so that the air conditioning data corresponding to the rest environment temperatures and the operation frequency of the variable frequency compressor can be calculated, all the air conditioning data corresponding to the environment temperature to be tested and the operation frequency of the variable frequency compressor do not need to be tested, the test period is shortened, and the experiment cost is reduced; according to the regression analysis method of the refrigerant parameters of the variable frequency air conditioning system, the refrigerant parameters corresponding to the air conditioning data can be calculated by establishing a function relation of the refrigerant parameters with respect to the air conditioning data, the refrigerant parameters corresponding to different environmental temperatures and different operating frequencies of the variable frequency compressor can be obtained by combining the regression analysis method of the air conditioning data of the variable frequency air conditioning system, table lookup of all the refrigerant parameters corresponding to the environmental temperatures to be measured and the operating frequencies of the variable frequency compressor is not needed, and operation is simplified.
Drawings
Fig. 1 is a schematic flow chart of a regression analysis method of air conditioning data and refrigerant parameters of an inverter air conditioning system according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The regression analysis method of the air conditioning data of the variable frequency air conditioning system comprises the following steps: s01, testing at least one ambient temperature value and air conditioner data corresponding to at least one variable frequency compressor operation frequency value to obtain an actual measured value of the air conditioner data; s02, establishing a preliminary mathematical model of air conditioner data about the ambient temperature and the operating frequency of the variable frequency compressor; s03, calculating undetermined coefficients in a preliminary mathematical model according to the measured values of the air conditioner data and a least square method, and determining a mathematical model of the air conditioner data about the ambient temperature and the operating frequency of the variable frequency compressor; and S04, calculating air conditioner data corresponding to the rest to-be-measured environment temperature and the running frequency of the variable frequency compressor according to the mathematical model. Because the air conditioning data has a certain functional relationship with the environment temperature and the operation frequency of the inverter compressor, such as the exhaust pressure and the exhaust temperature are respectively in a linear relationship with the environment temperature and the operation frequency of the inverter compressor, the suction pressure and the suction temperature are respectively in a linear relationship with the environment temperature and in a logarithmic relationship with the operation frequency of the inverter compressor, a preliminary mathematical model can be established according to the functional relationship, undetermined coefficients in the preliminary mathematical model are solved by testing measured values of a small amount of air conditioning data and a least square method idea, so that the mathematical model is determined, and the air conditioning data corresponding to the rest of the environment temperature to be detected and the operation frequency of the inverter compressor can be calculated according to the mathematical model.
The regression analysis method of the refrigerant parameters of the variable frequency air conditioning system comprises the following steps: s11, inquiring refrigerant parameters corresponding to at least one group of air conditioner data according to a refrigerant parameter table to obtain reference values of the refrigerant parameters; s12, establishing a preliminary function relation of the refrigerant parameters with respect to the air conditioner data; s13, calculating undetermined coefficients in the preliminary function relation according to the reference values of the refrigerant parameters and a least square method, and determining the function relation of the refrigerant parameters relative to air conditioner data; and S14, calculating the refrigerant parameters corresponding to the air conditioner data according to the functional relation. The implementation principle of the method is approximately the same as that of a regression analysis method of air conditioner data, and a certain functional relation exists between refrigerant parameters and the air conditioner data, so that a preliminary functional relation can be established according to the functional relation, a coefficient to be determined in the preliminary functional relation is solved through a fitting value of the air conditioner data, the refrigerant parameters corresponding to the air conditioner data obtained by looking up a table and a least square method, the functional relation is determined, the refrigerant parameters corresponding to the air conditioner data are calculated according to the fitting value of the air conditioner data and the functional relation, and the regression analysis method of the air conditioner data of the inverter air conditioning system is combined, so that the refrigerant parameters corresponding to the operating frequency of the inverter compressor and the ambient temperature to be measured are obtained.
Examples
In the regression analysis method of the air conditioning data of the variable frequency air conditioning system, in the embodiment of the invention, the air conditioning data comprises exhaust pressure, exhaust temperature, suction pressure and suction temperature; as shown in fig. 1, the method comprises the steps of:
s01, testing at least one ambient temperature value and air conditioner data corresponding to at least one variable frequency compressor operation frequency value to obtain an actual measured value of the air conditioner data;
the accessible is after frequency conversion compressor induction port and gas vent drilling, links to each other induction port and gas vent with the manometer respectively with the capillary, arranges the thermocouple respectively at induction port and gas vent to the pressure and the temperature of induction port and gas vent when testing air conditioner operation respectively.
S02, establishing a preliminary mathematical model of air conditioner data about the ambient temperature and the operating frequency of the variable frequency compressor;
because the exhaust pressure and the exhaust temperature respectively have a linear relation with the ambient temperature and the operating frequency of the variable-frequency compressor, the suction pressure and the suction temperature respectively have a linear relation with the ambient temperature and have a logarithmic relation with the operating frequency of the variable-frequency compressor, therefore:
establishing a preliminary mathematical model of exhaust pressure:
pdis＝a1Tifj+b1Ti+c1fj+d1；
in the formula, pdisIs the exhaust pressure, TiThe ambient temperature corresponding to the ith ambient temperature value, fjFor the inverter compressor operating frequency corresponding to the jth inverter compressor frequency value, a1、b1、c1And d1Is the undetermined coefficient;
establishing a preliminary mathematical model of the exhaust temperature:
tdis＝a2Tifj+b2Ti+c2fj+d2；
in the formula, tdisIs the exhaust gas temperature, a2、b2、c2And d2Is the undetermined coefficient;
establishing a preliminary mathematical model of the suction pressure:
psuc＝a3Tiln(fj)+b3Ti+c3ln(fj)+d3；
in the formula, psucFor suction pressure, a3、b3、c3And d3Is the undetermined coefficient;
establishing a preliminary mathematical model of the air suction temperature:
tsuc＝a4Tiln(fj)+b4Ti+c4ln(fj)+d4；
in the formula, tsucTo the suction temperature, a4、b4、c4And d4Is the undetermined coefficient.
S03, calculating undetermined coefficients in a preliminary mathematical model according to the measured values of the air conditioner data and a least square method, and determining a mathematical model of the air conditioner data about the ambient temperature and the operating frequency of the variable frequency compressor;
substituting measured values of each group of air conditioner data, corresponding environment temperature and running frequency of the variable frequency compressor into the preliminary mathematical model, and solving to obtain each undetermined coefficient according to the least square method idea, wherein the undetermined coefficient specifically comprises the following steps: seeking a set of coefficients to be determined, such that the relation
∑(pdis(ij)-p′dis(ij))2、∑(psuc(ij)-p′suc(ij))2、∑(tdis(ij)-t′dis(ij))2And Σ (t)suc(ij)-t′suc(ij))2
Has the smallest value of (A), wherein pdis(ij)、psuc(ij)、Tdis(ij)And tsuc(ij)Respectively representing fitting values p 'of exhaust pressure, suction pressure, exhaust temperature and suction temperature corresponding to the environment temperature corresponding to the ith environment temperature value and the operation frequency of the inverter compressor corresponding to the jth inverter compressor operation frequency value'dis(ij)、p′suc(ij)、T′dis(ij)And t'suc(ij)Respectively showing the measured values of the exhaust pressure, the suction pressure, the exhaust temperature and the suction temperature corresponding to the environment temperature corresponding to the ith environment temperature value and the operation frequency of the inverter compressor corresponding to the operation frequency value of the jth inverter compressor.
S04, calculating air conditioner data corresponding to the rest to-be-measured environment temperature and the operation frequency of the variable frequency compressor according to the mathematical model;
and substituting the to-be-measured environment temperature and the running frequency of the variable frequency compressor into the determined mathematical model, so as to calculate the air conditioner data corresponding to the rest to-be-measured environment temperatures and the running frequency of the variable frequency compressor.
In this embodiment, in order to improve the calculation accuracy, the step of testing the air conditioner data corresponding to the at least one ambient temperature value and the at least one inverter compressor operation frequency value is to: testing air conditioner data corresponding to three different environment temperature values and five different variable frequency compressor operation frequency values; such as: air conditioning data when the test environment temperature is 35 deg.C, 39 deg.C, 43 deg.C and the inverter compressor operation frequency is 15Hz, 25Hz, 35Hz, 45Hz, 55Hz, 65Hz, 75Hz, respectively, i.e., air conditioning data corresponding to the test environment temperature and the inverter compressor operation frequency at 35 deg.C, 15Hz and 35 deg.C, 25Hz and 35Hz, 35Hz and 35 deg.C, 35Hz and 39 deg.C, 25Hz and 39 deg.C, 35Hz and 39 deg.C, 45Hz and 39 deg.C, 55Hz and 39 deg.C, 65Hz and 39 deg.C, 75Hz and 43 deg.C, 15Hz and 43 deg.C, 25Hz and 43 deg.C, 45Hz and 43 deg.C, 55Hz and 43 deg.C, 65Hz and 43 deg.C, 75Hz, respectively, the more frequency values are tested, the error of the calculated air conditioning data is smaller, three environment temperature values and five air conditioning data corresponding to the inverter compressor operation are tested respectively, the operation is convenient, the test period is short, and high precision can be achieved.
In the regression analysis method for air conditioning data of the variable frequency air conditioning system according to this embodiment, step S03 further includes:
s031, according to the mathematical model, calculating a fitting value of the air-conditioning data corresponding to the measured value of the air-conditioning data;
specifically, substituting the measured value of the air-conditioning data into the preliminarily determined mathematical model, and calculating the fitting value of the corresponding air-conditioning data;
s032, calculating a mean error between a fitting value and an actually measured value of air conditioner data;
calculating the mean value error between the fitting values and the measured values of the pressure and the temperature of the air suction port and the air exhaust port, wherein the specific formula is as follows:
Figure BDA0001780140810000051
Figure BDA0001780140810000052
Figure BDA0001780140810000053
Figure BDA0001780140810000061
in the formula, I is the number of corresponding ambient temperature values when air conditioner data are tested, and J is the number of corresponding operating frequency values of the variable frequency compressor when the air conditioner data are tested;
s033, if the mean errors are all within a first preset range, determining a mathematical model, otherwise, entering a step S02;
if the mean errors are all within a first preset range, the mean errors are calculated through the mathematical model, and the generated errors are within a control range, the mathematical model is determined, otherwise, the mathematical model needs to be optimized, and the mathematical model is determined again.
In this embodiment, the first preset range is 5%, the mathematical model is easy to determine, the operation is convenient, and the precision is high.
The embodiment of the invention also provides a regression analysis method for the refrigerant parameters of the variable frequency air conditioning system, wherein in the embodiment, the refrigerant parameters comprise density and gas viscosity coefficient; as shown in fig. 1, the method comprises the steps of:
s11, inquiring refrigerant parameters corresponding to at least one group of air conditioner data according to a refrigerant parameter table to obtain reference values of the refrigerant parameters;
the group of air conditioning data is air conditioning data corresponding to an exhaust pressure value, an exhaust temperature value, an intake pressure value and an intake temperature value;
in practical operation, a table may be looked up according to measured values or fitting values of the air conditioning data in the regression analysis method of the air conditioning data of the inverter air conditioning system to obtain reference values of the refrigerant parameters, in this embodiment, reference values of the density and the gas viscosity coefficient;
s12, establishing a preliminary function relation of the refrigerant parameters with respect to the air conditioner data;
establishing a preliminary functional relation according to a functional relation between the refrigerant parameter and the air conditioning data, wherein in the embodiment, the preliminary functional relation of the density with respect to the exhaust pressure and the exhaust temperature is as follows:
Figure BDA0001780140810000062
the density is given as a preliminary function of the suction pressure and suction temperature:
Figure BDA0001780140810000063
the preliminary function of the gas viscosity coefficient with respect to the discharge pressure and the discharge temperature is:
Figure BDA0001780140810000064
the gas viscosity coefficient is given as a preliminary function of the suction pressure and suction temperature:
Figure BDA0001780140810000065
where ρ is the density, ρ is the gas viscosity coefficient, and a isn、bn、cn、dn、en、fnAnd gnIs a undetermined coefficient, wherein n is 5, 6, 7, 8;
s13, calculating undetermined coefficients in the preliminary function relation according to the reference values of the refrigerant parameters and a least square method, and determining the function relation of the refrigerant parameters relative to air conditioner data;
specifically, the actual measured value or the fitting value of the air conditioner data and the reference value of the corresponding refrigerant parameter are substituted into the preliminary functional relation, and the undetermined coefficient is solved according to the least square method, the implementation mode of the undetermined coefficient is consistent with the principle of the step S03, and details are not repeated here;
s14, calculating refrigerant parameters corresponding to air conditioner data according to the functional relation;
specifically, the air conditioner data corresponding to the to-be-measured environment temperature and the operation frequency of the inverter compressor are substituted into the determined functional relation, and then the refrigerant parameters corresponding to the rest to-be-measured environment temperatures and the operation frequency of the inverter compressor can be obtained.
In this embodiment, in order to improve the calculation accuracy, the querying the refrigerant parameter corresponding to at least one set of air conditioning data according to the refrigerant parameter table means: and inquiring refrigerant parameters corresponding to two hundred groups of air conditioner data according to the refrigerant parameter table, wherein in the inquired air conditioner data, one of an exhaust pressure value, an exhaust temperature value, an air suction pressure value and an air suction temperature value is different, namely, the other group of air conditioner data is formed, the more the inquired groups are, the smaller the error of the calculated refrigerant parameters is, and the higher precision can be achieved by inquiring the two hundred groups.
In the regression analysis method for air conditioning data of the variable frequency air conditioning system according to this embodiment, step S13 further includes:
s131, calculating to obtain a fitting value of a refrigerant parameter corresponding to air conditioner data according to the functional relation;
specifically, air conditioner data is substituted into the preliminarily determined functional relation, and a fitting value of a refrigerant parameter is calculated;
s132, calculating a mean error between the fitting value and the reference value of the refrigerant parameter;
the specific method for calculating the mean error between the fitting value of the refrigerant parameter and the reference value is consistent with the principle of the step S032, and details are not repeated herein;
s133, if the mean value errors are all in a second preset range, determining a functional relation, otherwise, entering the step S12.
If the mean value errors are all within a second preset range, the mean value errors indicate that the errors generated in the calculation through the functional relation are within a control range, the functional relation is determined, otherwise, the functional relation needs to be optimized, and the functional relation is determined again.
In this embodiment, the second preset range is 1%, and the functional relation is easy to determine, convenient to operate and high in precision.

Claims (9)

1. The regression analysis method of the air conditioning data of the variable frequency air conditioning system is characterized by comprising the following steps of:
s01, testing at least one ambient temperature value and air conditioner data corresponding to at least one variable frequency compressor operation frequency value to obtain an actual measurement value of the air conditioner data, wherein the air conditioner data comprises exhaust pressure, exhaust temperature, suction pressure and suction temperature;
s02, establishing a preliminary mathematical model of air conditioner data about the ambient temperature and the operating frequency of the variable frequency compressor, wherein the preliminary mathematical model of the exhaust pressure about the ambient temperature and the operating frequency of the variable frequency compressor is as follows:
pdis＝a1Tifj+b1Ti+c1fj+d1；
in the formula, pdisIs the exhaust pressure, TiThe ambient temperature corresponding to the ith ambient temperature value, fjFor the inverter compressor operating frequency corresponding to the jth inverter compressor frequency value, a1、b1、c1And d1Is the undetermined coefficient;
the preliminary mathematical model of the exhaust temperature with respect to the ambient temperature and the operating frequency of the inverter compressor is:
tdis＝a2Tifj+b2Ti+c2fj+d2；
in the formula, tdisIs the exhaust gas temperature, a2、b2、c2And d2Is the undetermined coefficient;
the preliminary mathematical model of the suction pressure with respect to the ambient temperature and the operating frequency of the inverter compressor is:
psuc＝a3Tiln(fj)+b3Ti+c3ln(fj)+d3；
in the formula, psucFor suction pressure, a3、b3、c3And d3Is the undetermined coefficient;
the preliminary mathematical model of the suction temperature with respect to the ambient temperature and the operating frequency of the inverter compressor is:
tsuc＝a4Ti ln(fj)+b4Ti+c4 ln(fj)+d4；
in the formula, tsucTo the suction temperature, a4、b4、c4And d4Is the undetermined coefficient;
s03, calculating undetermined coefficients in a preliminary mathematical model according to the measured values of the air conditioner data and a least square method, and determining a mathematical model of the air conditioner data about the ambient temperature and the operating frequency of the variable frequency compressor;
and S04, calculating air conditioner data corresponding to the rest to-be-measured environment temperature and the running frequency of the variable frequency compressor according to the mathematical model.
2. The regression analysis method for air conditioning data of an inverter air conditioning system according to claim 1, wherein the testing of the air conditioning data corresponding to the at least one ambient temperature value and the at least one inverter compressor operating frequency value is performed by: and respectively testing air conditioner data corresponding to three different environment temperature values and five different variable frequency compressor operation frequency values.
3. The regression analysis method for air conditioning data of inverter air conditioning system according to claim 1, wherein said step S03 further comprises:
s031, according to the mathematical model, calculating a fitting value of the air-conditioning data corresponding to the measured value of the air-conditioning data;
s032, calculating a mean error between a fitting value and an actually measured value of air conditioner data;
s033, if the mean errors are all within a first preset range, determining the mathematical model, otherwise, entering step S02.
4. The regression analysis method for air conditioning data of inverter air conditioning system according to claim 3, wherein said first predetermined range is 5%.
5. The method for regression analysis of inverter air conditioning system refrigerant parameters, characterized in that it comprises the method for regression analysis of inverter air conditioning system air conditioning data according to any of claims 1 to 4, further comprising the following steps:
s11, inquiring refrigerant parameters corresponding to at least one group of air conditioner data according to a refrigerant parameter table to obtain reference values of the refrigerant parameters;
the group of air conditioning data is air conditioning data corresponding to an exhaust pressure value, an exhaust temperature value, an intake pressure value and an intake temperature value;
s12, establishing a preliminary function relation of the refrigerant parameters with respect to the air conditioner data;
s13, calculating undetermined coefficients in the preliminary function relation according to the reference values of the refrigerant parameters and a least square method, and determining the function relation of the refrigerant parameters relative to air conditioner data;
and S14, calculating the refrigerant parameters corresponding to the air conditioner data according to the functional relation.
6. The method of claim 5, wherein the step of querying the refrigerant parameters corresponding to at least one set of air conditioning data according to the refrigerant parameter table comprises: and inquiring refrigerant parameters corresponding to two hundred groups of air conditioner data according to the refrigerant parameter table.
7. The method for regression analysis of refrigerant parameters of inverter air conditioning system according to claim 5, wherein said step S13 further comprises:
s131, calculating to obtain a fitting value of a refrigerant parameter corresponding to air conditioner data according to the functional relation;
s132, calculating a mean error between the fitting value and the reference value of the refrigerant parameter;
s133, if the mean value errors are all in a second preset range, determining a functional relation, otherwise, entering the step S12.
8. The method for regression analysis of refrigerant parameters for an inverter air conditioning system according to claim 7, wherein said second predetermined range is 1%.
9. The regression analysis method for refrigerant parameters of inverter air conditioning system according to any one of claims 5 to 8, wherein said refrigerant parameters include density and gas viscosity coefficient.
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