CN109140678A - The regression analysis of frequency-conversion air-conditioning system air-conditioning data and the agent parameter that freezes - Google Patents
The regression analysis of frequency-conversion air-conditioning system air-conditioning data and the agent parameter that freezes Download PDFInfo
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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
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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
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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
- F24F11/70—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
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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
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Abstract
The present invention relates to frequency-conversion air-conditioning system fields, the present invention is to solve the problems that the test period of existing frequency-conversion air-conditioning system air-conditioning data is long, it is proposed the regression analysis of a kind of frequency-conversion air-conditioning system air-conditioning data and the agent parameter that freezes, by only testing a small amount of environment temperature and the corresponding air-conditioning data of frequency-changeable compressor running frequency, establish mathematical model of the air-conditioning data about environment temperature and frequency-changeable compressor running frequency, remaining environment temperature and the corresponding air-conditioning data of frequency-changeable compressor running frequency can be calculated, shorten test period, reduce experimental cost, suitable for frequency-conversion air-conditioning system the stage of designing and developing data test.
Description
Technical field
The present invention relates to frequency-conversion air-conditioning system field, a kind of frequency-conversion air-conditioning system air-conditioning data and refrigeration are related in particular to
The analysis method of agent parameter.
Background technique
The stage is designed and developed in frequency-conversion air-conditioning system, is needed in different environment temperatures and frequency-changeable compressor running frequency
Under, dependence test is carried out to the air-conditioning data of air-conditioning system, wherein the pressure and temperature test of compressor air suction mouth, exhaust outlet
It is one of the key experiment during design of air conditioning.Testing resulting pressure and temperature data not only can be theoretical calculation
Air-conditioning system ability provides basic parameter, provides input for CFD simulation analysis, can also determine the ginseng of refrigerant in simulation process
Number etc..In the prior art, the test method generallyd use are as follows: test varying environment temperature and different frequency conversions respectively by sensor
The corresponding pressure and temperature data of compressor operating frequency, due to need to test respectively multiple and different ambient temperature values and it is multiple not
Be worth corresponding pressure and temperature data with frequency-changeable compressor running frequency, the experimental test period is long, in addition, varying environment temperature and
The corresponding refrigeration agent parameter of different frequency-changeable compressor running frequencies generally passes through inquiry refrigerant parameter list and obtains, due to needing to survey
The data for trying experiment are more, therefore environment temperature and the corresponding refrigeration of frequency-changeable compressor running frequency are determined by way of tabling look-up
The process of agent parameter is relatively complicated.
Summary of the invention
The invention aims to solve the problems, such as that the test period of existing frequency-conversion air-conditioning system air-conditioning data long, one is proposed
The regression analysis of kind frequency-conversion air-conditioning system air-conditioning data and the agent parameter that freezes.
The technical proposal adopted by the invention to solve the above technical problems is that: the recurrence of frequency-conversion air-conditioning system air-conditioning data point
Analysis method, comprising the following steps:
S01. at least one ambient temperature value and at least one corresponding air-conditioning number of frequency-changeable compressor running frequency value are tested
According to obtaining the measured value of air-conditioning data;
S02. preliminary mathematical model of the air-conditioning data about environment temperature and frequency-changeable compressor running frequency is established;
S03. according to the measured value and least square method of the air-conditioning data, the system undetermined in preliminary mathematical model is calculated
Number, determines mathematical model of the air-conditioning data about environment temperature and frequency-changeable compressor running frequency;
S04. remaining environment temperature to be measured and the corresponding sky of frequency-changeable compressor running frequency are calculated according to the mathematical model
Adjusting data.
To improve computational accuracy, described at least one ambient temperature value of test and at least one frequency-changeable compressor running frequency
It is worth corresponding air-conditioning data to refer to: tests three varying environment temperature values and five different frequency-changeable compressor running frequency values respectively
Corresponding air-conditioning data.
To improve computational accuracy, the step S03 further include:
S031. according to the mathematical model, the match value of the corresponding air-conditioning data of measured value of air-conditioning data is calculated;
S032. the mean value error between the match value and measured value of air-conditioning data is calculated;
If S033. the mean value error is in the first preset range, mathematical model is determined, otherwise, is entered step
S02。
To further increase computational accuracy, first preset range is 5%.
To provide basic parameter to theoretical calculation air-conditioning system ability, the air-conditioning data include pressure at expulsion, exhaust temperature
Degree, pressure of inspiration(Pi) and suction temperature.
Method to solve the problems, such as existing determining refrigeration agent parameter is relatively complicated, and the present invention also provides a kind of convertible frequency air-conditioners
The regression analysis of cooling system agent parameter, the regression analysis including the frequency-conversion air-conditioning system air-conditioning data, is also wrapped
Include following steps:
S11. the corresponding refrigeration agent parameter of at least one set of air-conditioning data is inquired according to refrigerant parameter list, obtains refrigerant ginseng
Several reference values;
One group of air-conditioning data are an exhaust pressure value, an outlet air temperature, a pressure of inspiration(Pi) force value and one
Suction temperature is worth corresponding air-conditioning data;
S12. preliminary functional relation of the refrigeration agent parameter about air-conditioning data is established;
S13. it according to the reference value and least square method of the refrigeration agent parameter, calculates undetermined in preliminary functional relation
Coefficient determines functional relation of the refrigeration agent parameter about air-conditioning data;
S14. according to the functional relation, the corresponding refrigeration agent parameter of air-conditioning data is calculated.
It is described that the corresponding refrigerant ginseng of at least one set of air-conditioning data is inquired according to refrigerant parameter list to improve computational accuracy
Number refers to: inquiring the corresponding refrigeration agent parameter of 200 groups of air-conditioning data according to refrigerant parameter list.
To improve computational accuracy, the step S13 further include:
S131. according to the functional relation, the match value of the corresponding refrigeration agent parameter of air-conditioning data is calculated;
S132. the mean value error between the match value and reference value of refrigeration agent parameter is calculated;
If S133. the mean value error is in the second preset range, functional relation is determined, otherwise, is entered step
S12。
To improve computational accuracy, second preset range is 1%.
For more intuitive displaying refrigerant condition, the refrigeration agent parameter includes density and gas viscosity coefficient.
The beneficial effects of the present invention are: the regression analysis of frequency-conversion air-conditioning system air-conditioning data of the present invention, leads to
It crosses and only tests a small amount of environment temperature and the corresponding air-conditioning data of frequency-changeable compressor running frequency, establish air-conditioning data about environment temperature
The mathematical model of degree and frequency-changeable compressor running frequency, can calculate remaining environment temperature and frequency-changeable compressor running frequency pair
The air-conditioning data answered shorten without testing all environment temperatures to be measured and the corresponding air-conditioning data of frequency-changeable compressor running frequency
Test period, reduce experimental cost;The regression analysis of the frequency-conversion air-conditioning system refrigeration agent parameter, passes through foundation
Freeze functional relation of the agent parameter about air-conditioning data, the corresponding refrigeration agent parameter of air-conditioning data can be calculated, in conjunction with above-mentioned
Varying environment temperature and different frequency-changeable compressors operation frequency can be obtained in the regression analysis of frequency-conversion air-conditioning system air-conditioning data
The corresponding refrigeration agent parameter of rate, without to all environment temperatures to be measured and the corresponding refrigeration agent parameter of frequency-changeable compressor running frequency
It tables look-up, simplifies operation.
Detailed description of the invention
Fig. 1 is the regression analysis of frequency-conversion air-conditioning system air-conditioning data described in the embodiment of the present invention and the agent parameter that freezes
Flow diagram.
Specific embodiment
Embodiments of the present invention are described in detail below in conjunction with attached drawing.
The regression analysis of frequency-conversion air-conditioning system air-conditioning data of the present invention, comprising the following steps: S01. test
At least one ambient temperature value and at least one frequency-changeable compressor running frequency are worth corresponding air-conditioning data, obtain air-conditioning data
Measured value;S02. preliminary mathematical model of the air-conditioning data about environment temperature and frequency-changeable compressor running frequency is established;S03. root
According to the measured value and least square method of the air-conditioning data, the undetermined coefficient in preliminary mathematical model is calculated, determines air-conditioning data
Mathematical model about environment temperature and frequency-changeable compressor running frequency;S04. remaining ring to be measured is calculated according to the mathematical model
Border temperature and the corresponding air-conditioning data of frequency-changeable compressor running frequency.Since air-conditioning data and environment temperature and frequency-changeable compressor are transported
There are certain functional relations, such as pressure at expulsion, delivery temperature to run frequency with environment temperature and frequency-changeable compressor respectively for line frequency
Rate is in a linear relationship, and pressure of inspiration(Pi), suction temperature are in a linear relationship with environment temperature respectively, is in frequency-changeable compressor running frequency
Therefore logarithmic relationship can establish preliminary mathematical model according to its functional relation, by test the measured value of a small amount of air-conditioning data with
And least square method thought, the undetermined coefficient in preliminary mathematical model is solved, so that it is determined that mathematical model, according to mathematical model
Remaining environment temperature to be measured and the corresponding air-conditioning data of frequency-changeable compressor running frequency can be calculated.
The regression analysis of frequency-conversion air-conditioning system refrigeration agent parameter of the present invention, comprising the following steps: S11. root
The corresponding refrigeration agent parameter of at least one set of air-conditioning data is inquired according to refrigerant parameter list, obtains the reference value of refrigeration agent parameter;
S12. preliminary functional relation of the refrigeration agent parameter about air-conditioning data is established;S13. according to the reference value of the refrigeration agent parameter
And least square method, the undetermined coefficient in preliminary functional relation is calculated, determines function of the refrigeration agent parameter about air-conditioning data
Relational expression;S14. according to the functional relation, the corresponding refrigeration agent parameter of air-conditioning data is calculated.Its realization principle and air-conditioning number
According to regression analysis it is roughly the same, due between refrigeration agent parameter and air-conditioning data there are certain functional relation,
Preliminary functional relation can be established according to its functional relation, by the match value of air-conditioning data, according to the air-conditioning number for acquisition of tabling look-up
According to corresponding refrigeration agent parameter and least square method, the undetermined coefficient in preliminary functional relation is solved, determines that function closes
It is formula, the corresponding refrigeration agent parameter of air-conditioning data is calculated according to the match value of air-conditioning data and functional relation, in conjunction with above-mentioned
The regression analysis of frequency-conversion air-conditioning system air-conditioning data, to obtain remaining environment temperature to be measured and frequency-changeable compressor operation frequency
The corresponding refrigeration agent parameter of rate.
Embodiment
The regression analysis of frequency-conversion air-conditioning system air-conditioning data described in the embodiment of the present invention, in this example, air-conditioning data
Including pressure at expulsion, delivery temperature, pressure of inspiration(Pi) and suction temperature;As shown in Figure 1, the described method comprises the following steps:
S01. at least one ambient temperature value and at least one corresponding air-conditioning number of frequency-changeable compressor running frequency value are tested
According to obtaining the measured value of air-conditioning data;
It can be by air entry and exhaust outlet being distinguished with capillary after frequency-changeable compressor air entry and exhaust outlet drilling
It is connected with pressure gauge, is respectively arranged thermocouple in air entry and exhaust outlet, thus air entry and row when testing air conditioner is run respectively
The pressure and temperature of port.
S02. preliminary mathematical model of the air-conditioning data about environment temperature and frequency-changeable compressor running frequency is established;
Since pressure at expulsion, delivery temperature are in a linear relationship with environment temperature and frequency-changeable compressor running frequency respectively, inhale
Atmospheric pressure, suction temperature are in a linear relationship with environment temperature respectively, are in logarithmic relationship with frequency-changeable compressor running frequency, therefore:
Establish the preliminary mathematical model of pressure at expulsion:
pdis=a1Tifj+b1Ti+c1fj+d1;
In formula, pdisFor pressure at expulsion, TiFor the corresponding environment temperature of i-th of ambient temperature value, fjFor j-th of frequency conversion compression
The corresponding frequency-changeable compressor running frequency of unit frequency value, a1、b1、c1And d1For undetermined coefficient;
Establish the preliminary mathematical model of delivery temperature:
tdis=a2Tifj+b2Ti+c2fj+d2;
In formula, tdisFor delivery temperature, a2、b2、c2And d2For undetermined coefficient;
Establish the preliminary mathematical model of pressure of inspiration(Pi):
psuc=a3Tiln(fj)+b3Ti+c3ln(fj)+d3;
In formula, psucFor pressure of inspiration(Pi), a3、b3、c3And d3For undetermined coefficient;
Establish the preliminary mathematical model of suction temperature:
tsuc=a4Tiln(fj)+b4Ti+c4ln(fj)+d4;
In formula, tsucFor suction temperature, a4、b4、c4And d4For undetermined coefficient.
S03. according to the measured value and least square method of the air-conditioning data, the system undetermined in preliminary mathematical model is calculated
Number, determines mathematical model of the air-conditioning data about environment temperature and frequency-changeable compressor running frequency;
The measured value of each group air-conditioning data and corresponding environment temperature and frequency-changeable compressor running frequency are substituted into preliminary
Mathematical model, according to least square method thought, solution obtains each undetermined coefficient, specifically: seek one group of undetermined coefficient, makes relationship
Formula
∑(pdis(ij)-p′dis(ij))2、∑(psuc(ij)-p′suc(ij))2、∑(tdis(ij)-t′dis(ij))2And ∑
(tsuc(ij)-t′suc(ij))2
Value it is minimum, in formula, pdis(ij)、psuc(ij)、Tdis(ij)And tsuc(ij)It is illustrated respectively in i-th of ambient temperature value pair
Corresponding exhaust pressure when the corresponding frequency-changeable compressor running frequency of the environment temperature and j-th of frequency-changeable compressor running frequency value answered
Power, pressure of inspiration(Pi), delivery temperature and suction temperature match value, p 'dis(ij)、p′suc(ij)、T′dis(ij)With t 'suc(ij)Table respectively
Show in the corresponding environment temperature of i-th of ambient temperature value and the corresponding frequency-changeable compressor of j-th of frequency-changeable compressor running frequency value
The measured value of corresponding pressure at expulsion, pressure of inspiration(Pi), delivery temperature and suction temperature when running frequency.
S04. remaining environment temperature to be measured and the corresponding sky of frequency-changeable compressor running frequency are calculated according to the mathematical model
Adjusting data;
Environment temperature to be measured and frequency-changeable compressor running frequency are substituted into the mathematical model after above-mentioned determination, can be calculated
Remaining environment temperature to be measured and the corresponding air-conditioning data of frequency-changeable compressor running frequency.
In the present embodiment, to improve computational accuracy, described at least one ambient temperature value of test and at least one frequency conversion pressure
The corresponding air-conditioning data of contracting machine running frequency value refer to: three varying environment temperature values of test and five different frequency-changeable compressor fortune
The corresponding air-conditioning data of line frequency value;Such as: test environment temperature is respectively 35 DEG C, 39 DEG C, 43 DEG C and frequency-changeable compressor operation frequency
Air-conditioning data when rate is respectively 15Hz, 25Hz, 35Hz, 45Hz, 55Hz, 65Hz, 75Hz, i.e. test environment temperature and frequency conversion pressure
Contracting machine running frequency is respectively in 35 DEG C, 15Hz and 35 DEG C, 25Hz and 35 DEG C, 35Hz and 35 DEG C, 45Hz and 35 DEG C, 55Hz and 35
DEG C, 65Hz and 35 DEG C, 75Hz and 39 DEG C, 15Hz 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, 43Hz and 35 DEG C, 45Hz and 43 DEG C, 55Hz and 43
DEG C, 65Hz and 43 DEG C, 75Hz when corresponding air-conditioning data, the group number of test is more, and the error of calculated air-conditioning data is got over
It is small, three ambient temperature values are tested respectively and five frequency-changeable compressor running frequencies are worth corresponding air-conditioning data, it is easy to operate, it surveys
It is shorter to try the period, and degree of precision can be reached.
In the regression analysis of frequency-conversion air-conditioning system air-conditioning data described in the present embodiment, step S03 further include:
S031. according to the mathematical model, the match value of the corresponding air-conditioning data of measured value of air-conditioning data is calculated;
Specifically, the measured value of air-conditioning data is substituted into the mathematical model primarily determined, corresponding air-conditioning data are calculated
Match value;
S032. the mean value error between the match value and measured value of air-conditioning data is calculated;
Calculate the mean value error between the match value and measured value of the pressure and temperature of air entry and exhaust outlet, specific formula
It is as follows:
In formula, I corresponds to the number of ambient temperature value when being testing air conditioner data, and J corresponds to frequency conversion when being testing air conditioner data
The number of compressor operating frequency value;
If S033. the mean value error is in the first preset range, mathematical model is determined, otherwise, is entered step
S02;
If mean value error is in the first preset range, expression is calculated by the mathematical model, and the error of generation exists
In control range, then mathematical model determines, otherwise, needs to optimize mathematical model, redefines mathematical model.
In the present embodiment, above-mentioned first preset range is 5%, and mathematical model is easy to determine, facilitates operation and precision is higher.
The embodiment of the present invention also provides a kind of regression analysis of frequency-conversion air-conditioning system refrigeration agent parameter, the present embodiment
In, refrigeration agent parameter includes density and gas viscosity coefficient;As shown in Figure 1, the described method comprises the following steps:
S11. the corresponding refrigeration agent parameter of at least one set of air-conditioning data is inquired according to refrigerant parameter list, obtains refrigerant ginseng
Several reference values;
One group of air-conditioning data are an exhaust pressure value, an outlet air temperature, a pressure of inspiration(Pi) force value and one
Suction temperature is worth corresponding air-conditioning data;
It in actual operation, can be according to the hollow adjusting data of regression analysis of the frequency-conversion air-conditioning system air-conditioning data
Measured value or match value obtain the reference value of refrigeration agent parameter to table look-up, in the present embodiment, i.e. density and gas viscosity system
Several reference values;
S12. preliminary functional relation of the refrigeration agent parameter about air-conditioning data is established;
According to the functional relation between refrigeration agent parameter and air-conditioning data, preliminary functional relation is established, in the present embodiment,
Preliminary functional relation of the density about pressure at expulsion and delivery temperature are as follows:
Preliminary functional relation of the density about pressure of inspiration(Pi) and suction temperature are as follows:
Preliminary functional relation of the gas viscosity coefficient about pressure at expulsion and delivery temperature are as follows:
Preliminary functional relation of the gas viscosity coefficient about pressure of inspiration(Pi) and suction temperature are as follows:
In formula, ρ is density, and υ is gas viscosity coefficient, an、bn、cn、dn、en、fnAnd gnFor undetermined coefficient, wherein n=5,
6,7,8;
S13. it according to the reference value and least square method of the refrigeration agent parameter, calculates undetermined in preliminary functional relation
Coefficient determines functional relation of the refrigeration agent parameter about air-conditioning data;
Specifically, the reference value of air-conditioning data measured value or match value and its corresponding refrigeration agent parameter is substituted into preliminary letter
Number relational expression solves undetermined coefficient, embodiments thereof are consistent with above-mentioned steps S03 principle, herein according to least square method thought
It repeats no more;
S14. according to the functional relation, the corresponding refrigeration agent parameter of air-conditioning data is calculated;
Specifically, after environment temperature to be measured and the corresponding air-conditioning data of frequency-changeable compressor running frequency are substituted into above-mentioned determination
Functional relation, remaining environment temperature to be measured and the corresponding refrigeration agent parameter of frequency-changeable compressor running frequency can be obtained.
It is described that at least one set of air-conditioning data pair are inquired according to refrigerant parameter list to improve computational accuracy in the present embodiment
The refrigeration agent parameter answered refers to: the corresponding refrigeration agent parameter of 200 groups of air-conditioning data is inquired according to refrigerant parameter list, inquiry
In air-conditioning data, there is a value different in exhaust pressure value, outlet air temperature, pressure of inspiration(Pi) force value and suction temperature value, that is, constitute
The group number of another group of air-conditioning data, inquiry is more, it is calculated refrigeration agent parameter error it is smaller, inquiry 200 groups can reach compared with
In high precision.
In the regression analysis of frequency-conversion air-conditioning system air-conditioning data described in the present embodiment, step S13 further include:
S131. according to the functional relation, the match value of the corresponding refrigeration agent parameter of air-conditioning data is calculated;
Specifically, air-conditioning data to be substituted into the functional relation primarily determined, the match value of refrigeration agent parameter is calculated;
S132. the mean value error between the match value and reference value of refrigeration agent parameter is calculated;
The specific method and above-mentioned steps S032 that mean value error between the match value and reference value of refrigeration agent parameter calculates
Principle is consistent, and details are not described herein again;
If S133. the mean value error is in the second preset range, functional relation is determined, otherwise, is entered step
S12。
If mean value error in the second preset range, is indicated through the functional relation come when calculating, the mistake of generation
In control range, then functional relation determines difference, otherwise, needs to optimize functional relation, redefines function pass
It is formula.
In the present embodiment, above-mentioned second preset range be 1%, functional relation be easy determine, facilitate operation and precision compared with
It is high.
Claims (10)
1. the regression analysis of frequency-conversion air-conditioning system air-conditioning data, which comprises the following steps:
S01. at least one ambient temperature value and at least one corresponding air-conditioning data of frequency-changeable compressor running frequency value are tested, is obtained
To the measured value of air-conditioning data;
S02. preliminary mathematical model of the air-conditioning data about environment temperature and frequency-changeable compressor running frequency is established;
S03. according to the measured value and least square method of the air-conditioning data, the undetermined coefficient in preliminary mathematical model is calculated, really
Determine mathematical model of the air-conditioning data about environment temperature and frequency-changeable compressor running frequency;
S04. remaining environment temperature to be measured and the corresponding air-conditioning number of frequency-changeable compressor running frequency are calculated according to the mathematical model
According to.
2. the regression analysis of frequency-conversion air-conditioning system air-conditioning data as described in claim 1, which is characterized in that the test
At least one ambient temperature value and at least one corresponding air-conditioning data of frequency-changeable compressor running frequency value refer to: testing three respectively
A varying environment temperature value and five different frequency-changeable compressor running frequencies are worth corresponding air-conditioning data.
3. the regression analysis of frequency-conversion air-conditioning system air-conditioning data as described in claim 1, which is characterized in that the step
S03 further include:
S031. according to the mathematical model, the match value of the corresponding air-conditioning data of measured value of air-conditioning data is calculated;
S032. the mean value error between the match value and measured value of air-conditioning data is calculated;
If S033. the mean value error is in the first preset range, mathematical model is determined, otherwise, enters step S02.
4. the regression analysis of frequency-conversion air-conditioning system air-conditioning data as claimed in claim 3, which is characterized in that described first
Preset range is 5%.
5. such as the regression analysis of the described in any item frequency-conversion air-conditioning system air-conditioning data of Claims 1-4, feature exists
In the air-conditioning data include pressure at expulsion, delivery temperature, pressure of inspiration(Pi) and suction temperature.
6. the regression analysis of frequency-conversion air-conditioning system refrigeration agent parameter, which is characterized in that any including such as claim 1 to 5
The regression analysis of frequency-conversion air-conditioning system air-conditioning data described in, further comprising the steps of:
S11. the corresponding refrigeration agent parameter of at least one set of air-conditioning data is inquired according to refrigerant parameter list, obtains refrigeration agent parameter
Reference value;
One group of air-conditioning data are an exhaust pressure value, an outlet air temperature, a pressure of inspiration(Pi) force value and an air-breathing
The corresponding air-conditioning data of temperature value;
S12. preliminary functional relation of the refrigeration agent parameter about air-conditioning data is established;
S13. according to the reference value and least square method of the refrigeration agent parameter, the system undetermined in preliminary functional relation is calculated
Number determines functional relation of the refrigeration agent parameter about air-conditioning data;
S14. according to the functional relation, the corresponding refrigeration agent parameter of air-conditioning data is calculated.
7. the regression analysis of frequency-conversion air-conditioning system refrigeration agent parameter as claimed in claim 6, which is characterized in that described
It inquires the corresponding refrigeration agent parameter of at least one set of air-conditioning data according to refrigerant parameter list to refer to: according to refrigerant parameter list inquiry two
The corresponding refrigeration agent parameter of hundred groups of air-conditioning data.
8. the regression analysis of frequency-conversion air-conditioning system refrigeration agent parameter as claimed in claim 6, which is characterized in that the step
Rapid S13 further include:
S131. according to the functional relation, the match value of the corresponding refrigeration agent parameter of air-conditioning data is calculated;
S132. the mean value error between the match value and reference value of refrigeration agent parameter is calculated;
If S133. the mean value error is in the second preset range, functional relation is determined, otherwise, enters step S12.
9. the regression analysis of frequency-conversion air-conditioning system as claimed in claim 8 refrigeration agent parameter, which is characterized in that described the
Two preset ranges are 1%.
10. such as the regression analysis of the described in any item frequency-conversion air-conditioning system refrigeration agent parameters of claim 6 to 9, feature
It is, the refrigeration agent parameter includes density and gas viscosity coefficient.
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WO2022048131A1 (en) * | 2020-09-02 | 2022-03-10 | 青岛海信日立空调系统有限公司 | Air conditioning system |
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